检索结果

教师	职称与实验室	主要研究方向
Xiaofang ZHOU周曉方	Otto Poon Professor of Engineering Chair Professor and Head Jockey Club STEM Lab of Data Science Foundations（DSF）；INAIR 等联合实验室	Spatiotemporal and multimedia databases；Data mining；Data quality management
Song GUO郭嵩	Chair Professor and Associate Head Pervasive Intelligence Lab；HKUST Center of Physical AI	Large language model；Physical AI；Machine learning systems
Raymond Chi-Wing WONG黃智榮	Professor and Associate Head	Big data；Data mining；Database systems
Lei CHEN陳雷	Chair Professor Database Research Group；Knowledge Base、ML、Big Graph、Spatial Temporal/Crowdsourcing、Blockchain、DB4AI 子方向	Data-driven machine learning；Crowdsourcing-based data processing；Uncertain and probabilistic databases
Shing-Chi CHEUNG張成志	Chair Professor CASTLE Research Group	Software testing and analysis；AI and mobile software development；Generative and spreadsheet programming
Yike GUO郭毅可	Chair Professor Yike Guo 研究组	数据科学与科学应用；音乐与多模态生成；AI for Science 与金融
Jiaya JIA賈佳亞	Chair Professor Jiaya Jia 研究组	视觉理解与计算成像；多模态与生成模型；模型推理与 RL
Bo LI李波	Chair Professor	Large-scale internet content distribution；Peer-to-peer systems；Internet topology
Huamin QU屈華民	Chair Professor VisLab	可视化与分析；Human-centered AI；创作与跨学科计算媒体
Qian ZHANG張黔	Tencent Professor of Engineering Chair Professor Qian Group；Digital Life Research Center	Computer networking；Wireless systems；Cyber-physical systems
Gary Shueng-Han CHAN陳雙幸	Professor Smart IoT and Sensing Systems Group	Smart sensing and IoT；Cloud and fog/edge AI；Indoor positioning and mobile computing
Kai CHEN陳凱	Professor iSING Lab；WeChat-HKUST Joint Lab（WHAT Lab）	Data center networking；Machine learning systems；Privacy-preserving computing
Siu-Wing CHENG鄭紹榮	Professor Theoretical Computer Science Group	Algorithms；Geometry processing；Data structures
Albert Chi-Shing CHUNG鍾志成	Professor HKUST Research Center for Medical Imaging and Analysis	医学配准；医学分割与泛化；显微图像与恢复
Cunsheng DING丁存生	Professor	Coding theory；Combinatorics；Cryptography
Andrew B. HORNER康立德	Professor Andrew Horner 研究组	计算音乐与声音合成；音乐情绪与感知；AI 混音与 mashup
James Tin-Yau KWOK郭天佑	Professor James Kwok 研究组	机器学习与优化；生成和基础模型；时间序列与应用
Mo LI李默	Professor Wireless And Networked Distributed Sensing（WANDS）	Wireless and Mobile Computing；Smart City and Urban Data Analytics；Low Altitude Systems and Communications
Fangzhen LIN林方真	Professor Fangzhen Lin 研究组	知识表示与逻辑；程序语义与验证；多智能体与现代推理系统
Qiong LUO羅瓊	Professor Rapids Group；Accord、GALLOP、Star Flow	Big data management；Database systems；Parallel and distributed systems
Dimitris PAPADIAS白德善	Professor	Data management；Algorithms；Graph data management and analytics
Long QUAN權龍	Professor Computer Vision Group / VisGraph	多视几何与三维重建；生成式空间表征
Pedro SANDER辛達德	Professor Pedro Sander 研究组	实时渲染与图形硬件；神经场与高斯表征；图像视频创作
Chi-Keung TANG鄧智強	Professor Chi-Keung Tang 研究组	视觉理解与分割；图形与三维生成；学习与视觉推理
Ke YI易珂	Professor hkustDB 相关数据库理论与系统组	Database theory and algorithms；Data security and privacy；Parallel and distributed algorithms
Charles ZHANG張川	Professor Cybersecurity Laboratory；Clearblue	Program analysis；Software security；Software engineering
Nevin Lianwen ZHANG張連文	Professor Nevin L. Zhang 研究组	概率模型与潜结构；可信学习；语言、agent 与生物医学
Sunil ARYA安雅信	Associate Professor	Algorithms；Data structures and computational geometry
Brahim BENSAOU彭卲邦	Associate Professor	Computer networking；Computer systems networking and telecommunications；Data center networks
Qifeng CHEN陳启峰	Associate Professor Qifeng Chen 研究组	视觉生成与编辑；视觉感知与恢复；机器人与自动驾驶
Xiaojuan MA麻曉娟	Associate Professor Xiaojuan Ma 研究组	Human-engaged AI；对话与机器人；健康、教育、创作与沉浸交互
Wilfred Siu-Hung NG吳兆鴻	Associate Professor	Social computing；Web searching；Data analytics
Dimitris PAPADOPOULOS	Associate Professor	Blockchain security；Computer security；Cryptography
Yangqiu SONG宋陽秋	Associate Professor KnowComp	知识图谱与知识计算；Enterprise data agents；Agent memory 与可信性
Shuai WANG王帥	Associate Professor	Software and system security；Binary-level security techniques；Security and privacy on emerging platforms
Wei WANG王威	Associate Professor	Big data；Parallel and distributed systems；Cloud computing
Dan XU徐旦	Associate Professor Dan Xu 研究组	3D 场景理解与重建；结构化与多任务视觉；生成模型
Hao CHEN陳浩	Assistant Professor SmartX Lab	大模型与可信医疗 AI；计算病理与多组学；AI for Science 与干预系统
Long CHEN陳隆	Assistant Professor LONG Group	多模态理解与关系；可控生成与编辑；统一模型与 flow matching
Yi R. FUNG馮一人	Assistant Professor MMSense Lab	可信推理与对齐；多模态 agent 与 RAG；社会文化与领域应用
Junxian HE何俊賢	Assistant Professor Junxian He 研究组 / HKUST NLP	语言模型训练与数据；长程推理与智能体
Yaonan JIN金耀楠	Assistant Professor	Algorithmic game theory；Online algorithms；Combinatorial optimization
Chaojian LI李朝鑒	Assistant Professor Sponge Computing Lab	Algorithm-hardware co-design；Computer architecture and systems；AI infrastructure and systems
Sehi L'YI李世熙	Assistant Professor VisAI Lab	科学可视化与工具链；Human–AI collaboration 与可解释性；生物医学与无障碍
Arpit NARECHANIA	Assistant Professor DataVisards	可视化分析与来源追踪；自然语言与 Human-Agent interaction；应用系统
Xiaomin OUYANG歐陽小敏	Assistant Professor Mobile, Intelligent, and Networked System（MINSys）Group	Machine learning for Internet of Things (IoT)；Mobile computing；Smart health
Lionel PARREAUX	Assistant Professor TACO Lab — Types, Abstraction, Compilers & Optimization	Type systems；Compiler optimization；Metaprogramming
Dongdong SHE佘東冬	Assistant Professor	Software systems and security；Program analysis and testing；Machine learning
Jiasi SHEN沈嘉思	Assistant Professor Software Automation Research Group	Programming languages；Program analysis；Program transformation
Yinghao XU徐英豪	Assistant Professor HKUST XU Lab	3D 表示与基础模型；视频世界模型；具身 AI
Binhang YUAN袁彬航	Assistant Professor Relaxed System Lab	Data management systems for machine learning；Distributed machine learning systems；Heterogeneous and decentralized foundation-model systems
Zihan ZHANG張子函	Assistant Professor Zihan Zhang 研究组	强化学习理论；在线学习与博弈；凸优化
Mingxun ZHOU周銘洵	Assistant Professor	Applied cryptography；Differential privacy；Security and privacy in machine learning

合聘与跨系教师12

教师	职称与实验室	主要研究方向
Tim Kwang-Ting CHENG鄭光廷	Chair Professor Vision and System Design Lab (VSDL)	高效模型、量化与端侧生成；软硬件协同与存算一体；医学视觉与强化学习
Lionel M. NI倪明選	Chair Professor	计算系统与普适计算的长期积累；近期视觉生成合作；金融 AI 与评测合作
Yuan XIE謝源	Chair Professor JC STEM Lab of Future Advanced Computing Technologies (FACT Lab)	AI 系统与近存计算；AI for architecture 与 EDA；跨层计算技术
Hongbo FU傅紅波	Professor Hongbo's Group	草图驱动内容创作；可控生成与几何一致性；人机协作与创意工具
Janet Hui-wen HSIAO蕭惠文	Professor Attention Brain and Cognition Lab (ABC) / AI Ethics and Governance Lab	计算认知与注意机制；视觉和语言认知；以用户理解为目标的 XAI
Sai-Kit YEUNG楊世傑	Professor Vision, Graphics and Computational Design (VGD) Group	三维视觉与图形学；海洋 AI 与数据基础设施；计算设计与交互系统
Tristan C. BRAUD	Assistant Professor XRIM Lab	Virtual reality (VR) / augmented reality (AR)；Human-computer interaction；Ubiquitous and pervasive computing
Xiaomeng LI李小萌	Associate Professor XMed Lab	跨模态医学图像蒸馏与视网膜疾病诊断；区域感知多模态大语言模型与可解释生物医学系统；开放环境视觉语言目标检测与口腔影像诊断
Zili MENG孟子立	Assistant Professor SPARK Lab	Real-time Intelligence & Low-Latency Video Streaming；Computer Networks & Transport Protocols；LLM Systems & Edge Intelligence
Ling PAN潘玲	Assistant Professor Intelligent Decision-Making Lab	深度强化学习与可塑性；GFlowNets 与多样性采样；多智能体与智能决策应用
Anyi RAO饒安逸	Assistant Professor Multimedia Creativity Lab / Multimedia Studio	Generative AI；World Models；Computer Vision
Qijia SHAO邵琪佳	Assistant Professor Ubiquitous X Lab	普适计算与织物生理感知；移动人机交互与意图预测；以人为中心的健康AI与多模态大语言模型辅助

教学轨教师9

教师	职称与实验室	主要研究方向
De Kai吳德愷	Professor of Engineering Education AI Education Ambassador Senior Lecturer	Artificial intelligence；Human language and music technology；Computational linguistics
Wai Ting LEUNG梁煒霆	Associate Professor of Engineering Education Senior Lecturer	Information retrieval；Data mining；Data visualization
Desmond Yau Chat TSOI蔡友集	Associate Professor of Engineering Education Senior Lecturer Center for Engineering Education Innovation	Computer vision；Image processing；Multimedia technology
Gibson LAM林傑遜	Assistant Professor of Engineering Education Senior Lecturer	Web services；Multimedia technology；Internet technologies
Cindy Xin LI李昕	Assistant Professor of Engineering Education Senior Lecturer Center for Engineering Education Innovation	Computer networking；Engineering education；Computer architecture
Alex Ngok LAM林岳	Assistant Professor of Engineering Education Lecturer	Computer systems networking and telecommunications；Communication and internet policy；Computer networking
Cecia Ki CHAN陳祈	Lecturer	Information extraction；Text mining；Big data
Tsz Him CHEUNG張梓謙	Lecturer	数据中心 AI 与数据效率；AI 与编程教育
Maocheng LI李懋成	Lecturer	Spatial crowdsourcing；Differential privacy；Secure multiparty computation

研究轨教师7

教师	职称与实验室	主要研究方向
Lin LI李琳	Research Assistant Professor	Multimodal foundation models；Generative AI；Embodied AI
Songfan LI李松璠	Research Assistant Professor Low Altitude Economy Research Center (LAERC)	Wireless Networking；Internet of Things (IoT)；Sensor Networks
Changsheng LU盧長勝	Research Assistant Professor	Computer Vision；Machine Learning；Robotics
Wenjun LYU呂文俊	Research Assistant Professor	Human-centric cyber-physical systems；Embodied intelligence；Human-robot collaboration
Wentao XIE謝文濤	Research Assistant Professor	Ubiquitous computing；Machine learning for sensing systems；Smart healthcare
Linping YUAN袁林萍	Research Assistant Professor VisLab AR/VR Team	Virtual and augmented reality；Data visualization；Human-computer interaction
Jie ZHANG張婕	Research Assistant Professor Pervasive Intelligence Lab (PEI Lab)	Edge AI；Machine Learning Systems；Privacy-Preserving Computing

访问教师1

教师	职称与实验室	主要研究方向
Arno JACOBSEN	Visiting Professor Middleware Systems Research Group (MSRG)	分布式系统与中间件；云计算与机器学习系统；量子信息与可持续计算

兼任教师2

教师	职称与实验室	主要研究方向
Zhenguo LI	Adjunct Professor	Machine learning；Generative AI；AI agent
Yu-Wing TAI戴宇榮	Adjunct Professor Visual AI Lab @ Dartmouth	Deep learning；Computer vision；Image/video processing

荣休教师14

教师	职称与实验室	主要研究方向
Tony F. CHAN陳繁昌	Professor Emeritus	Computational mathematics；Image processing；Computer vision
Roland T. CHIN錢大康	Professor Emeritus	Computer vision；Image processing；Pattern recognition
Mordecai J. GOLIN高可齡	Professor Emeritus	Algorithms；Computational geometry and topology；Information theory
Mounir HAMDI韓隸	Professor Emeritus	Data Centers and Cloud Computing；High-speed networking and switching；Wireless networking
Dik-Lun LEE李迪麟	Professor Emeritus	Big data；Mobile computing；Web information management
Frederick H. LOCHOVSKY樂創基	Professor Emeritus	Information systems design；Database design；Data and knowledge base integration
Ting-Chuen PONG龐鼎全	Professor Emeritus	Multimedia computing；E-learning；Computer vision
Vincent Y. S. SHEN沈運申	Professor Emeritus	Web technologies；Web-based learning；Software engineering
Chiew-Lan TAI戴秋蘭	Professor Emeritus	Geometric modeling and processing；Computer graphics；Human computer interaction
Derick WOOD伍德瑞	Professor Emeritus	Document engineering；Symbolic manipulation of language-theory objects；Algorithms
Qiang YANG楊强	Professor Emeritus	Artificial intelligence
Dit-Yan YEUNG楊瓞仁	Professor Emeritus	Artificial intelligence；Computer vision；Machine learning
Brian Kan-Wing MAK麥鑑榮	Associate Professor Emeritus	Automatic speech recognition；machine learning；speech processing
Helen C. SHEN沈志汶	Associate Professor Emeritus	Computer vision；Biometrics

教师横向比较

教师	累计引用	h-index	2024–2026 论文	在组成员	合作机构
Xiaofang ZHOUOtto Poon Professor of Engineering Chair Professor and Head	21,369	69	127	22	3
Song GUOChair Professor and Associate Head	32,372	88	277	36	8
Raymond Chi-Wing WONGProfessor and Associate Head	5,523	40	65	14	0
Lei CHENChair Professor	23,285	75	198	25	1
Shing-Chi CHEUNGChair Professor	8,888	48	71	15	1
Yike GUOChair Professor	21,913	70	217	65	10
Jiaya JIAChair Professor	76,881	109	88	30	3
Bo LIChair Professor	17,675	67	98	11	2
Huamin QUChair Professor	12,422	59	156	38	2
Qian ZHANGTencent Professor of Engineering Chair Professor	21,168	68	79	60	2
Gary Shueng-Han CHANProfessor	8,101	37	22	11	13
Kai CHENProfessor	7,407	45	101	29	3
Siu-Wing CHENGProfessor	3,022	30	9	4	0
Albert Chi-Shing CHUNGProfessor	5,397	37	10	5	0
Cunsheng DINGProfessor	12,333	63	26	—	0
Andrew B. HORNERProfessor	1,483	18	3	3	0
James Tin-Yau KWOKProfessor	22,077	64	109	25	1
Mo LIProfessor	11,949	58	32	26	0
Fangzhen LINProfessor	4,091	27	33	3	1
Qiong LUOProfessor	7,515	37	23	6	0
Dimitris PAPADIASProfessor	14,807	59	3	6	0
Long QUANProfessor	15,627	59	19	4	1
Pedro SANDERProfessor	4,648	32	6	8	3
Chi-Keung TANGProfessor	13,701	60	36	4	4
Ke YIProfessor	5,621	43	29	10	0
Charles ZHANGProfessor	2,356	25	27	11	4
Nevin Lianwen ZHANGProfessor	3,968	30	15	9	0
Sunil ARYAAssociate Professor	5,340	26	6	—	0
Brahim BENSAOUAssociate Professor	3,411	28	5	1	0
Qifeng CHENAssociate Professor	11,563	50	157	32	4
Xiaojuan MAAssociate Professor	6,841	43	100	21	4
Wilfred Siu-Hung NGAssociate Professor	4,462	35	3	1	0
Dimitris PAPADOPOULOSAssociate Professor	2,168	22	23	10	7
Yangqiu SONGAssociate Professor	11,449	51	179	50	8
Shuai WANGAssociate Professor	2,500	27	121	36	2
Wei WANGAssociate Professor	3,325	31	62	20	3
Dan XUAssociate Professor	7,880	39	60	23	5
Hao CHENAssistant Professor	30,143	69	206	52	6
Long CHENAssistant Professor	5,991	32	114	25	4
Yi R. FUNGAssistant Professor	767	13	84	19	1
Junxian HEAssistant Professor	2,568	23	57	15	2
Yaonan JINAssistant Professor	131	6	10	1	1
Chaojian LIAssistant Professor	1,102	18	26	4	0
Sehi L'YIAssistant Professor	1,284	21	11	3	0
Arpit NARECHANIAAssistant Professor	457	9	23	33	7
Xiaomin OUYANGAssistant Professor	760	11	38	17	1
Lionel PARREAUXAssistant Professor	293	9	15	12	2
Dongdong SHEAssistant Professor	527	9	19	6	3
Jiasi SHENAssistant Professor	327	6	16	13	0
Yinghao XUAssistant Professor	—	—	41	14	1
Binhang YUANAssistant Professor	729	15	71	15	1
Zihan ZHANGAssistant Professor	—	—	6	—	0
Mingxun ZHOUAssistant Professor	200	6	15	2	0
Tim Kwang-Ting CHENGChair Professor	24,514	72	91	17	2
Lionel M. NIChair Professor	35,796	86	17	—	3
Yuan XIEChair Professor	33,502	87	50	24	5
Hongbo FUProfessor	7,666	45	66	17	0
Janet Hui-wen HSIAOProfessor	3,510	28	29	10	1
Sai-Kit YEUNGProfessor	7,258	39	42	32	2
Tristan C. BRAUDAssistant Professor	2,895	26	32	12	3
Xiaomeng LIAssociate Professor	9,753	37	112	32	6
Zili MENGAssistant Professor	1,334	13	40	8	5
Ling PANAssistant Professor	417	9	46	12	6
Anyi RAOAssistant Professor	6,605	17	43	33	6
Qijia SHAOAssistant Professor	307	10	11	9	5
Arno JACOBSENVisiting Professor	10,961	50	78	17	1
De KaiProfessor of Engineering Education AI Education Ambassador Senior Lecturer	4,397	32	1	—	1
Wai Ting LEUNGAssociate Professor of Engineering Education Senior Lecturer	842	15	3	—	0
Desmond Yau Chat TSOIAssociate Professor of Engineering Education Senior Lecturer	—	—	—	—	0
Gibson LAMAssistant Professor of Engineering Education Senior Lecturer	47	4	1	—	0
Cindy Xin LIAssistant Professor of Engineering Education Senior Lecturer	—	—	—	—	0
Alex Ngok LAMAssistant Professor of Engineering Education Lecturer	8	2	0	—	0
Cecia Ki CHANLecturer	—	—	—	—	0
Tsz Him CHEUNGLecturer	87	4	1	—	1
Maocheng LILecturer	70	5	1	—	0
Lin LIResearch Assistant Professor	327	9	18	—	0
Songfan LIResearch Assistant Professor	142	8	13	—	0
Changsheng LUResearch Assistant Professor	472	10	4	—	0
Wenjun LYUResearch Assistant Professor	422	11	29	—	0
Wentao XIEResearch Assistant Professor	127	6	14	—	0
Linping YUANResearch Assistant Professor	382	9	19	—	0
Jie ZHANGResearch Assistant Professor	—	—	39	—	0
Zhenguo LIAdjunct Professor	10,473	46	50	—	1
Yu-Wing TAIAdjunct Professor	18,136	71	46	9	4
Tony F. CHANProfessor Emeritus	53,653	82	2	—	0
Roland T. CHINProfessor Emeritus	6,692	32	0	—	1
Mordecai J. GOLINProfessor Emeritus	2,272	22	6	—	0
Mounir HAMDIProfessor Emeritus	10,558	55	28	—	0
Dik-Lun LEEProfessor Emeritus	9,631	50	2	—	1
Frederick H. LOCHOVSKYProfessor Emeritus	3,427	27	0	—	2
Ting-Chuen PONGProfessor Emeritus	2,532	27	3	—	0
Vincent Y. S. SHENProfessor Emeritus	2,584	20	0	—	3
Chiew-Lan TAIProfessor Emeritus	7,298	40	0	—	0
Derick WOODProfessor Emeritus	4,980	35	0	—	0
Qiang YANGProfessor Emeritus	114,607	127	114	—	4
Dit-Yan YEUNGProfessor Emeritus	28,532	69	42	2	3
Brian Kan-Wing MAKAssociate Professor Emeritus	2,600	23	8	—	0
Helen C. SHENAssociate Professor Emeritus	1,595	17	0	—	0

数据来自 OpenAlex（截至 2026-10-17），共 92 位教师具备已核实的作者汇总指标。

指标定义与计算标准

教师与成员各项量化指标的统计口径、院系分位公式与数据来源说明。

教师指标口径

累计引用: OpenAlex 作者实体的 cited_by_count。
h-index: 至少有 h 篇论文分别获得至少 h 次引用时，可达到的最大 h。
i10-index: 获得至少 10 次引用的作品数。
近三年收录论文: 按题名归一化去重的年度目录。正式版本与同题预印本合并，保留最新正式版本。
在组成员: 名录中 current 身份的成员关系数，分别列出博士生、硕士生、博士后与其他成员。
产业机构: 教师合作记录中去重的机构数；学生实习与研究经历单独计数。
GitHub 关注者: 经个人或实验室主页关联的 GitHub 账号 followers 数。
GitHub Stars: 关联账号拥有的公开非 fork 仓库 stargazerCount 合计，个人账号与实验室组织分别呈现。
Wikipedia 年浏览量: 关联人物条目在指定连续 12 个月的 user 流量之和，页面注明语言版本与起止日。

院系样本分位

每项指标在全部有效观察值中按并列中位次序计算相对位置，数值越大代表在院系样本中的位置越高：

P = 100 × (L + 0.5 × E) / N

L: 指标值小于该教师的样本人数。
E: 指标值等于该教师的样本人数（含本人）。
N: 该指标具有有效观察值的教师总数。

分位区间	院系相对位置
P90–100	前 10%
P75–90	前 25%
P50–75	前 50%
P0–50	后 50%

成员与论文去重

每条成员记录对应一位导师与一名学生的指导关系；共同指导的学生在各自导师下分别保留记录。个人主页、Google Scholar、DBLP、ORCID、Semantic Scholar 与 GitHub 链接直接嵌入成员姓名与指标。

论文题名经转小写并去除标点空白后去重，同题预印本与正式发表版本合并，优先保留正式出版记录与较新年份。

研究图谱范式专题配置 JSON 教师指标 JSON 成员指标 JSON

课题组成员与校友

成员	教育背景	研究方向与经历
Jiawei LiPhD · 2023-09–导师：Xiaofang ZHOUCSE	Jacobs University Bremen	Semantic Search in Large-Scale Point Cloud Databases
Elton Chun Chai LiMPhil · 2024-09–导师：Xiaofang ZHOUCSE	HKUST	Routing Optimization in Reconfigurable Cargo Networks JP Morgan · Intern（MPhil 期间）2025-10–2026-04
Harry Jounghoon KimMPhil · 2024-09–导师：Xiaofang ZHOUCSE	the Chinese University of Hong Kong	Indexing and Search in Vector Databases Huawei Fellowship 部分资助
Zhenjun HuangPhD · 2024-09–导师：Xiaofang ZHOU	Beihang University	Graph RAG Peng Cheng Laboratory · Intern（PhD 期间；PCL Scholarship）2026-09– PCL Scholarship Scheme
Weijie ShiPhD · 2024-09–导师：Xiaofang ZHOUCSE	Soochow University	Data Selection and Query Diversification for LLM Alibaba · Intern（PhD 期间）2025-05–2025-08
Zhoujin TianPhD · 2024-09–导师：Xiaofang ZHOUCSE	Beihang University	Advanced Vector Query Processing Huawei Fellowship 部分资助
Junle ChenPhD · 2025-09–导师：Xiaofang ZHOUCSE	Harbin Institute of Technology	Agentic Travel Planning Using LLMs
Sherry Sau Lai YipMPhil · 2025-09–导师：Xiaofang ZHOUCSE	HKUST	NL2SQL Huawei · Intern（MPhil 期间）2026-09– 2025-06–08 曾在组内任 RA
Selena SongPhD · 2026-09–导师：Xiaofang ZHOUCSE	The University of Queensland	2026-02 起曾在组内任 RA
Yongqi LiPhD · 2026-09–导师：Xiaofang ZHOUCSE	Wuhan University
Zhicheng HuPhD · 2026-09–导师：Xiaofang ZHOUCSE	UIUC	2026-02 起曾在组内任 RA
Nujibieke ShabuerjiangPhD · 2026-09–导师：Xiaofang ZHOUCSE	HKUST	2025-04 起曾在组内任 RA
Kehao MiaoPhD · 2026-09–导师：Xiaofang ZHOUCSE	Nanyang Technological University
David Sheung Yuen ChanMPhil · 2026-09–导师：Xiaofang ZHOUCSE	PolyU HK
Erwin Hurtado即将加入 · Incoming PhD · 2027-09 起导师：Xiaofang ZHOU	Universidad Panamericana
Yichao Liu即将加入 · Incoming PhD · 2027-09 起导师：Xiaofang ZHOU	Tsinghua University
Ruicheng Li即将加入 · Incoming PhD · 2027-09 起导师：Xiaofang ZHOU	Tsinghua University
Shiwen WuPhD · 2022–2026导师：Xiaofang ZHOUCSE	Peking University	Data Matching in the Era of Language Models: From Data Preparation to Data Access
Yehong Xu校友 · Postdoc · 2021–2026导师：Xiaofang ZHOUCSE	2026 HKUST PhD The University of Queensland	Global Routing in Road Networks HKUST as a postdoc.
Xi Zhao校友 · PhD · 2022–2026导师：Xiaofang ZHOUCSE	2025-06–2025-08 NUS Visiting researcher 2026 HKUST PhD Huazhong University of Science and Technology	Approximate Search in High-dimensional Spaces ByteDance · Visiting researcher（PhD 期间）2025-11–2026-01 ByteDance. HKPFS；2021-09–2022-08 曾在组内任 RA
Jiawen Zhang校友 · PhD · 2021–2026导师：Xiaofang ZHOU	Chinese Academy of Sciences	Microsoft Research Asia in Singapore. 主导师 Jia Li；2023-08–2024-06 曾访问本组
Zhihan Luo校友 · PhD · 2021–2026导师：Xiaofang ZHOU	The University of Queensland	AMap (Gao De), a subsidiary of Alibaba. 主导师 Lei Li
Zizhuo XuPostdoctoral Fellow · 2026-03–导师：Xiaofang ZHOUIndividualized Interdisciplinary Program (Data Science and Analytics)	2021–2026 HKUST PhD Cornell University	博士阶段在广州校区，主导师 Lei Li，Xiaofang Zhou 共同指导
Jipeng Zhang校友 · PhD · 2021–2025导师：Xiaofang ZHOUCSE	2025 HKUST PhD University of Electronic Science and Technology of China	Enhancing Large Language Model via Data-Centric View: Strategies for Selection, Synthesis, and Evaluation Microsoft Research Asia in Singapore. 2023-12 前由 Tong Zhang 指导
Yao Tian校友 · PhD · 2021–2025导师：Xiaofang ZHOUCSE	2025 HKUST PhD Zhejiang University	Bridging Databases and AI: from Efficient Vector Retrieval to Intelligent Data Systems ByteDance.
Jing Zhao校友 · PhD · 2021–2025导师：Xiaofang ZHOUCSE	2025 HKUST PhD Soochow University	Just-in-time Predictive Query Processing in Road Networks
Renjie Pi校友 · PhD · 2021–2025导师：Xiaofang ZHOUCSE	2025 HKUST PhD The University of Hong Kong	Visual Perception Enhanced Multimodal Large Language Models NVIDIA USA. 2023-12 前由 Tong Zhang 指导
Xinjie Zhou校友 · PhD · 2021–2025导师：Xiaofang ZHOUIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD Shanghai Jiao Tong University	Scalable Shortest Path Query Processing on Dynamic Graphs Huawei. 主导师 Lei Li；共同指导
Jianheng Tang校友 · PhD · 2021–2025导师：Xiaofang ZHOUIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD Sun Yat-sen University	Graph-based Anomaly Detection, Similarity Computation, and Reasoning Exploration ByteDance. 与 Jia Li 共同指导；2023-09–2024-07 曾访问本组
Yue Cui校友 · PhD · 2021–2025导师：Xiaofang ZHOUCSE	2025 HKUST PhD University of Electronic Science and Technology of China	Fairness-alignment in Data-centric Machine Learning: From Regularization to Equilibrium Alibaba.
Boyu Ruan校友 · PhD · 2017–2021导师：Xiaofang ZHOU	Tsinghua University	Large-scale graph algorithms Researcher at the Hong Kong Huawei Research Center. 2023-07–2024-11 任 STEM Talent Fellow
Mengxuan Zhang校友 · PhD · 2018–2021导师：Xiaofang ZHOU	Dalian University of Technology	Dynamic index maintenance for road networks and graphs Senior Lecturer at the Australian National University, Australia.
Ruiyuan Zhang校友 · PhD · 2016–2020导师：Xiaofang ZHOU	Aachen University of Technology	Microgrid Data Analytics researcher at the HK Generative AI Center (HKGAI). 与 UQ Power Engineering 的 Tapan Saha 共同指导；2022-07–2025-07 任 STEM Talent Fellow
Doris Dan He校友 · PhD · 2016–2019导师：Xiaofang ZHOU	Peking University	Diversity query processing in spatiotemporal databases Data Scientist in the Queensland Government.
Pingfu Cao校友 · PhD · 2016–2019导师：Xiaofang ZHOU	East China Normal University	Large-scale transport network data analytics Associate Professor at Soochow University, China.
Bolong Zheng校友 · PhD · 2014–2017导师：Xiaofang ZHOU	Huazhong University of Science and Technology	Spatiotemporal databases 曾任 Aalborg University 博士后；Professor, Huazhong University of Science and Technology 2016-01–08 曾任组内博士后
Douglas Alves Peixoto校友 · PhD · 2015–2018导师：Xiaofang ZHOU	Universidade Federal de Viçosa	Parallel spatiotemporal database systems works for IBM Brazil.
Lei Li校友 · PhD · 2014–2018导师：Xiaofang ZHOU	Harbin Institute of Technology	Time-dependent routing algorithms in road networks Assistant Professor at HKUST (GZ Campus). 2018-10–2022-01 在 UQ 任博士后
Xingzhong Du校友 · PhD · 2014–2017导师：Xiaofang ZHOU	Nanjing University	Video databases Senior Applied Scientist at Oracle.
Saeid Hosseini校友 · PhD · 2012–2017导师：Xiaofang ZHOU	Queensland University of Technology	Using location information from social media Associate Professor at Sohar University, Oman. 2013–2015 为非全日制博士阶段
Wen Hua校友 · PhD · 2011–2015导师：Xiaofang ZHOU	Renmin University of China	Entity linking 曾任 UQ Lecturer；Associate Professor, Hong Kong Polytechnic University 2016–2017 任博士后；2011-09–12 曾以中国人民大学学生身份在组内研究实习
Haozhou Wang校友 · PhD · 2012–2015导师：Xiaofang ZHOU	the University of Queensland	In-memory Trajectory Databases；2011 年项目：Trajectory-based location ranking works for EMC China. 2011 年曾为组内 Project Student
Ada Han Su校友 · PhD · 2012–2015导师：Xiaofang ZHOU	Nanjing University	Quality-aware trajectory query processing Associate Professor at the University of Electrical Science and Technology of China.
Dat T. Huynh校友 · PhD · 2010–2014导师：Xiaofang ZHOU	HoChiMinh City University of Technology	Entity Extraction from Unstructured Data on the Web
Zhixu Li校友 · PhD · 2009–2013导师：Xiaofang ZHOU	Renmin University of China	Harvesting the Web for Linking and Imputing String Data in Databases Professor at Renmin University, China.
Felix Qing Xie校友 · PhD · 2009–2012导师：Xiaofang ZHOU	the University of Science and Technology of China	Approximation and Exploration of Streaming Time Series Data Associate Professor at Wuhan University of Technology.
Kexin Xie校友 · PhD · 2008–2012导师：Xiaofang ZHOU	the University of Queensland 2008 University of Queensland MEng	Supporting Real-time Query Processing for Advanced Spatial Database Applications；MEng 论文：Supporting Data Provenance and Lineage Analysis for SQL Queries Senior Director & Architect, Software Engineering at Salesforce, USA.
Shuo Shang校友 · PhD · 2009–2012导师：Xiaofang ZHOU	Peking University	Spatial Query Processing for Trip Planning and Location Recommendation Professor at University of Electronic Science and Technology of China.
Jia Zhu校友 · PhD · 2006–2012导师：Xiaofang ZHOU	Bond University	Robust Name Disambiguation Framework for Large Databases Associate Professor in South China Normal University. 非全日制博士；2024-05–08 以 Zhejiang Normal University 研究人员身份访问
Kevin Kai Zheng校友 · PhD · 2009–2012导师：Xiaofang ZHOU	Fudan University	Uncertainty Management in Spatiotemporal Database Professor at University of Electronic Science and Technology of China.
Xiangmin Zhou校友 · PhD · 2005–2008导师：Xiaofang ZHOU	Northeast University	Similarity Search In Large Video Database Lecturer at RMIT University, Australia.
Saeid Asadi校友 · PhD · 2004–2008导师：Xiaofang ZHOU	—	Dealing with Geographic Information in Location-Based Search Engines Associate Professor at Shahed University, Iran.
Ke Deng校友 · PhD · 2004–2007导师：Xiaofang ZHOU	Griffith University	Distance Ranking in Constraint-Based Spaces: An Elemental Problem in Spatial Query Processing Senior Lecturer at RMIT University, Australia. 2007-10–2012-12 任博士后
Helen Zi Huang校友 · PhD · 2003–2007导师：Xiaofang ZHOU	Tsinghua University	Summarization-based Similarity Search for Complex Databases Professor and ARC Future Fellow at UQ. ARC Future Fellow
Sai Sun校友 · PhD · 2002–2006导师：Xiaofang ZHOU	Nanjing University	Multiresolution and Semantic Caching: A Framework for Network-based Spatial Applications Research Scientist position at the National ICT Australia (NICTA). 2006 年曾任博士后
Sham Prasher校友 · PhD · 2001–2005导师：Xiaofang ZHOU	the University of Queensland	Query Processing in Multiresolution Spatial Databases 创业后在 Mana Wind, Australia 工作 2011-04–2013-03 任博士后，随后创业
Kevin Kai Xu校友 · PhD · 2000–2004导师：Xiaofang ZHOU	Shanghai Jiao Tong University	Database Support for Multiresolution Terrain Models Associate Professor at the University of Nottingham, UK.
Jimmy Kwun Hang Lau校友 · MPhil · 2024–2026导师：Xiaofang ZHOUCSE	2026 HKUST MPhil the Chinese University of Hong Kong	Temporal RAG Huawei Research Hong Kong · Research Intern（MPhil 阶段后期）2025-08–2026-01 Huawei Research HK.
Oscar Zhonghan Chen校友 · MPhil · 2023-09–2025-12导师：Xiaofang ZHOUCSE	2025 HKUST MPhil The University of Toronto	Cardinality Estimation for Similarity Search: A Locality Sensitive Hashing Approach Huawei.
Yue Liu校友 · MPhil · 2023-09–2025-12导师：Xiaofang ZHOUCSE	2026 HKUST MPhil Zhejiang University	On Faithful Citations in Retrieval Augmented Generation Tencent. 2023-03–08 曾任 RA；早期团队页记其随后转入组内 PhD
Jian Yang校友 · MPhil · 2024-06 毕业导师：Xiaofang ZHOU	The South China University of Technology	Huawei. 主导师 Zheyi Wen；2023-08–2024-06 访问本组
Ziyi Liu校友 · PhD · 2019–2021导师：Xiaofang ZHOU	QUT	Constraint shortest path problems Professor at Soochow University. 2019-10 入读 MPhil，2021-06 转为 Wen Hua 指导的 PhD；2023-12–2025-12 任 Research Assistant Professor
Xuanyi Zhang校友 · MPhil · 2019-04–2021-06导师：Xiaofang ZHOU	the University of California Santa Cruz	An experimental study on constrained shortest path algorithms in road networks
Runhui Wang校友 · MPhil · 2017–2019导师：Xiaofang ZHOU	Peking University	Parallel Graph Algorithms PhD candidate at Rutgers University, USA.
Bingyu Yi校友 · MPhil · 2013-08–2016-12导师：Xiaofang ZHOU	Xi'an Jiaotong University
Xin Li校友 · Visiting researcher · 2011-09–2014-06导师：Xiaofang ZHOU	Renmin University of China Master student
Jiping Wang校友 · MPhil · 2012-10–2014-07导师：Xiaofang ZHOU	Tsinghua University	Efficient Distance-based Query Processing in Spatial Networks
Yiyue Gao校友 · MPhil · 2007-09–2009-03导师：Xiaofang ZHOU	—	Comprehensive Evaluation of Image Color Features for CBIR Systems Associate Advisor：Heng Tao Shen
Bill Zhang校友 · MPhil · 2004-08–2006-02导师：Xiaofang ZHOU	—	Data-Intensive Mediator-based Web Services Composition with Self-tuning Histogram with Mincom in Denver, USA.
Callum McDonald校友 · Project Student · 2011导师：Xiaofang ZHOU	—	Excerpt-level web search
Doug Cathepole校友 · MEng · 2008导师：Xiaofang ZHOU	—	Efficiency in Visualizing Large-Scale Moving Objects
Ji Tao Gan校友 · MSc · 2008导师：Xiaofang ZHOU	—	Approximate Join Algorithms for Data Record Linking
Benjamin Cheviot校友 · MSc · 2007导师：Xiaofang ZHOU	—	Using Google Earth as a web search interface
Sittichai Thongnopparat校友 · MSc · 2005导师：Xiaofang ZHOU	—	Address extract from Web pages
Li Yang校友 · MSc · 2004导师：Xiaofang ZHOU	—	Semi-structured language processing for biological data at tom.com in Beijing, China. 与 UQ CBIT 合作
Yanqiu Richard Zhu校友 · MSc · 2004导师：Xiaofang ZHOU	—	主导师 Hoylen Sue、Linda Bird（DSTC）
George Eng-Huan Pek校友 · MSc · 2002导师：Xiaofang ZHOU	—	Wrapper Validation
David Horgan校友 · Hons · 2004导师：Xiaofang ZHOU	—	Progressive Spatial Vector Data Exchange
Wei Yuan Ong校友 · Hons · 2004导师：Xiaofang ZHOU	—	主导师 Hoylen Sue、Linda Bird（DSTC）
Lynn Teo校友 · Hons · 2003导师：Xiaofang ZHOU	—	Visualization and Surface Matching of 3D Protein Strictures
Wissam (Sam) Hmud校友 · Hons · 2003–2004导师：Xiaofang ZHOU	—	XML Containment Join Processing
Christopher Lim校友 · Hons · 2003导师：Xiaofang ZHOU	—	Databases for the Grid
Brendan Tse校友 · Hons · 2002导师：Xiaofang ZHOU	—	Managing Bioinformatics Data
Alex Hai Luong校友 · Hons · 2002导师：Xiaofang ZHOU	—	Evolution of Schemata within Bioinformatics: Tracking the Ensemble Database
Darko Javanovic校友 · Hons · 2001导师：Xiaofang ZHOU	—	Web Wrapper Development and Maintenance using Wrapper Generator Interface
Anecia Johnston校友 · Hons · 2001导师：Xiaofang ZHOU	—	Extracting Real Estate Information From the World Wide Web
Travis Fusae校友 · Hons · 2001导师：Xiaofang ZHOU	—	Proposal for an Improved License Management System through a Case Study Analysis
Dan Sketcher校友 · Hons · 2001导师：Xiaofang ZHOU	—	Terrain Data Simplification and Visualization
Keith Blair校友 · Hons · 2000导师：Xiaofang ZHOU	—	Find the Shortest Paths for Sea Turtle Migration: From a Spatial Database Perspective
Luke Boyce校友 · Hons · 2000导师：Xiaofang ZHOU	—	Join Non-Compatible Quadtrees
Frank Penkava校友 · Hons · 2000导师：Xiaofang ZHOU	—	A Study on Information Completeness and Search Speed in the World Wide Web Environment
Jackson Carroll校友 · Hons · 2000导师：Xiaofang ZHOU	—	Spatial Data Generalization for Internet and Mobile Applications
Joe Yates校友 · Hons · 1999导师：Xiaofang ZHOU	—	Map-Based Interface for Navigating the Web
Steve Broderick校友 · Hons · 1999导师：Xiaofang ZHOU	—	Efficiency in Querying Multiple Websites in XML
Yue PangPostdoctoral Fellow · 2025-08–导师：Xiaofang ZHOU	—
Chrysanthi KosyfakiPostdoctoral Fellow · 2025-05–导师：Xiaofang ZHOU	—
Mengping ShiLab Manager · 2025-12–导师：Xiaofang ZHOU	—
Jingzhi Fang校友 · STEM Talent Fellow · 2024-09–2025-12导师：Xiaofang ZHOU	—	researcher at Huawei.
Qintian Guo校友 · STEM Talent Fellow · 2024-08–2026-01导师：Xiaofang ZHOU	—	Professor at Beijing Institute of Technology.
Jingliang Deng校友 · Postdoc · 2024-03–2026-01导师：Xiaofang ZHOU	—	Professor at Beihang University.
Bilan Chen校友 · Research Assistant · 2024-01–2025-11导师：Xiaofang ZHOU	—
Hedy Yijin Song校友 · Visiting researcher · 2025 Summer导师：Xiaofang ZHOU	Cornell
Lauren Lee校友 · Visiting researcher · 2025 Summer导师：Xiaofang ZHOU	Yale
Chen Song校友 · Research Assistant · 2025-03–2025-08导师：Xiaofang ZHOU	—
Lei Zou校友 · Visiting researcher · 2025-05–2025-07导师：Xiaofang ZHOU	—	来自 Peking University
Shimin Di校友 · Research Assistant Professor · 2023-12–2025-04导师：Xiaofang ZHOU	—	Professor at Southeast University, China. 2022-02 起为 STEM Talent Fellow
Zihan Luo校友 · PhD · 2024-01–2024-08导师：Xiaofang ZHOUIndividualized Interdisciplinary Program (Data Science and Analytics)	2026 HKUST PhD	共同指导
Kai Huang校友 · Postdoc · 2021-05–2023-08导师：Xiaofang ZHOU	—	Assistant Professor position at Macao University of Science and Technology. 2022-02 起为 STEM Talent Fellow
Gaoya Ouyang校友 · Research Assistant · 2022-03–2023-06导师：Xiaofang ZHOU	—
Qiyu Liu校友 · STEM Talent Fellow · 2022-03–2023-06导师：Xiaofang ZHOU	—
Dan He校友 · Postdoc · 2020-01–2022-12导师：Xiaofang ZHOU	—	Research Scientist position at Queensland Government.
Pingfu Chao校友 · Postdoc · 2020-01–2021-07导师：Xiaofang ZHOU	—	Associate Professor position at Soochow University.
Jiangfeng Xu校友 · Postdoc · 2019-12–2020-11导师：Xiaofang ZHOU	—	Associate Professor position at Soochow University.
Junhao Gan校友 · Postdoc · 2017-03–2018-07导师：Xiaofang ZHOU	—	Lecturer position at The University of Melbourne.
Sibo Wang校友 · Postdoc · 2017-04–2018-12导师：Xiaofang ZHOU	—	Assistant Professor position at The Chinese University of Hong Kong.
Quoc Viet Hung Nguyen校友 · Postdoc · 2015–2017导师：Xiaofang ZHOU	—	Lecturer position at Griffith University.
Hongzhi Yin校友 · Postdoc · 2015–2018导师：Xiaofang ZHOU	—	Lecturer position at UQ.
Kevin Zheng校友 · Postdoc · 2012–2016导师：Xiaofang ZHOU	—	Professor position at Soochow University.
Han Su校友 · Postdoc · 2015-01 起导师：Xiaofang ZHOU	—	postdoc position at the University of Southern California, USA.
Yi Yang校友 · Postdoc · 2013-05–2014-01导师：Xiaofang ZHOU	—	Senior Lecturer position at the University of Technology, Sydney.
Henning Koehler校友 · Postdoctoral Research Fellow · 2008-08–2011-02导师：Xiaofang ZHOU	—	Senior Lecturer position at Massey University, New Zealand.
Laurianne Sitbon校友 · Postdoctoral Fellow · 2010-03–2010-09导师：Xiaofang ZHOU	—	Lecturer position at QUT.
Gabriel Fung校友 · Postdoctoral Research Fellow · 2008-01–2009-12导师：Xiaofang ZHOU	—	postdoc position at the University of Arizona.
Stella Liping Wang校友 · Postdoctoral Research Fellow · 2008-03–2009-03导师：Xiaofang ZHOU	—	postdoc position at Victoria University, Australia.
Qing Liu校友 · Postdoc · 2006导师：Xiaofang ZHOU	—	Research Scientist position with CSIRO ICT Centre.
Yanfeng Shu校友 · Postdoc · 2006导师：Xiaofang ZHOU	—	Research Scientist position with CSIRO ICT Centre.
Mohamed Rafi Feroze校友 · Research Officer · 2006导师：Xiaofang ZHOU	—	do PhD at UQ.
Ye Liu校友 · PhD · 2024-05–2024-11导师：Xiaofang ZHOU	University of Science and Technology of China PhD student
Zhifei Yu校友 · Visiting researcher · 2024-08–2024-09导师：Xiaofang ZHOU	Huazhong University of Science and Technology 本科在读
Yuanzhe Li校友 · Visiting researcher · 2024-08–2024-09导师：Xiaofang ZHOU	Southern University of Science and Technology 本科在读
Zhetao Zheng校友 · PhD · 2023-08–2024-02导师：Xiaofang ZHOU	University of Electronic Science and Technology of China PhD student
Weijia Zhang校友 · PhD · 2023-09–2024-04导师：Xiaofang ZHOU	HKUST Guangzhou PhD student
Jianfeng Qu校友 · PhD · 2017-10 起 12 个月导师：Xiaofang ZHOU	Jilin University PhD 在读	CSC 资助
Kankan Zhao校友 · PhD · 2017-11 起 12 个月导师：Xiaofang ZHOU	Renmin University of China PhD 在读	CSC 资助
Fengmei Jin校友 · Visiting researcher · 2017-07 起 12 个月导师：Xiaofang ZHOU	Renmin University of China Master student
Guangfeng Liu校友 · Visiting researcher · 2017-06–2018-06导师：Xiaofang ZHOU	—	来自 Soochow University 的访问教授
Liwei Wang校友 · Visiting researcher · 2017-12 起 12 个月导师：Xiaofang ZHOU	Wuhan University	CSC 资助；2008-09–2010-07 曾有一次访问
Yan Zhao校友 · PhD · 2017-07–2017-09导师：Xiaofang ZHOU	Soochow University PhD 在读
Wenling Zhang校友 · Visiting researcher · 2017-11–2018-04导师：Xiaofang ZHOU	Soochow University
Jiali Yang校友 · Visiting researcher · 2017-11–2018-04导师：Xiaofang ZHOU	Soochow University
Anqi Zhao校友 · Visiting researcher · 2017-11–2018-04导师：Xiaofang ZHOU	Soochow University
Kangzhi Zhao校友 · PhD · 2017-06–2017-08导师：Xiaofang ZHOU	Tsinghua University PhD 在读
Juan Deng校友 · Visiting researcher · 2017–2018导师：Xiaofang ZHOU	Wuhan University
Haiqiang Yang校友 · PhD · 2016-09 起 12 个月导师：Xiaofang ZHOU	Harbin Institute of Technology PhD student	CSC 资助
Thanh Tam Nguyen校友 · PhD · 2016-08-14–2017-02-14导师：Xiaofang ZHOU	EPFL PhD student
Bohan Li校友 · Visiting researcher · 2016-01 起 12 个月导师：Xiaofang ZHOU	—	来自 NanHang University；CSC 资助访问
Yuan Su校友 · Visiting researcher · 2016-05 起 12 个月导师：Xiaofang ZHOU	—	来自 BeiYou University；CSC 资助访问
Hailong Liu校友 · Visiting researcher · 2015-01–2016-12导师：Xiaofang ZHOU	—	来自 Northwestern Polytechnical University；CSC 资助访问
Tieke He校友 · PhD · 2013-09–2015-09导师：Xiaofang ZHOU	Nanjing University PhD student	CSC 资助访问
Wen-Chih Peng校友 · Visiting researcher · 2014-07–2015-07导师：Xiaofang ZHOU	—	来自 National Chiao Tung University, Taiwan
Lei Zhao校友 · Visiting researcher · 2014-08–2015-08导师：Xiaofang ZHOU	—	来自 Soochow University；江苏省资助访问
Xian Wu校友 · Visiting researcher · 2014-08–2015-08导师：Xiaofang ZHOU	—	来自 Soochow University；CSC 资助访问
Kang Qiu校友 · Visiting researcher · 2013-06–2014-06导师：Xiaofang ZHOU	—	来自淄博市公安局；CSC 资助访问
Yuwie Peng校友 · Visiting researcher · 2013-01–2014-01导师：Xiaofang ZHOU	—	来自 Wuhan University；CSC 资助访问
Ivor Tsang校友 · Visiting researcher · 2012-12导师：Xiaofang ZHOU	—	来自 Nanyang Technological University
Yilun Cai校友 · PhD · 2012-08–2012-12导师：Xiaofang ZHOU	the University of Hong Kong PhD 在读	导师 Nikos Mamoulis
Elisa Bertino校友 · Visiting researcher · 2012-05导师：Xiaofang ZHOU	—	来自 Purdue University
Timos Sellis校友 · Visiting researcher · 2012-03导师：Xiaofang ZHOU	—	来自 National Technical University of Athens
Jian Pei校友 · Visiting researcher · 2012-03导师：Xiaofang ZHOU	—	来自 Simon Fraser University
Hanan Samet校友 · Visiting researcher · 2012-04导师：Xiaofang ZHOU	—	来自 University of Maryland
Chen Xu校友 · Visiting researcher · 2011-04–2011-07导师：Xiaofang ZHOU	—	来自 East China Normal University；研究实习
Reynold Cheng校友 · Visiting researcher · 2011-06导师：Xiaofang ZHOU	—	来自 University of Hong Kong
Fuhao Zou校友 · Postdoc · 2010-06–2011-07导师：Xiaofang ZHOU	—	来自 Huazhong University of Science and Technology；CSC 资助博士后
Kyoji Kawagoe校友 · Visiting researcher · 2010-03–2010-09导师：Xiaofang ZHOU	—	来自 Ritsumeikan University；休假访问
Jing Yang校友 · PhD · 2009-08–2010-07导师：Xiaofang ZHOU	Renmin University of China PhD student
Peter Scheuemann校友 · Visiting researcher · 2010-05导师：Xiaofang ZHOU	—	来自 Northwestern University；休假访问
Huangliang Sun校友 · Visiting researcher · 2008-09–2009-08导师：Xiaofang ZHOU	—	来自 Shenyang Jianzhu University；休假访问
Kuien Liu校友 · PhD · 2008-11–2009-11导师：Xiaofang ZHOU	Institute of Software, Chinese Academy of Sciences PhD student
Wei Lu校友 · PhD · 2008-01–2009-01导师：Xiaofang ZHOU	Renmin University of China PhD student
Hu Xu校友 · PhD · 2008-01–2009-01导师：Xiaofang ZHOU	Huazhong University of Science and Technology PhD student	CSC 资助研究实习
Wendy Wen-Rong Jiang校友 · Visiting researcher · 2007-04–2008-04导师：Xiaofang ZHOU	—	来自 Shanghai Second Polytechnic University；休假访问
Guowei Yang校友 · Visiting researcher · 2008-08–2008-10导师：Xiaofang ZHOU	—	来自 Hohai University；研究实习
Hoang Quang校友 · Visiting researcher · 2008-08–2008-10导师：Xiaofang ZHOU	—	来自 Hui University, Vietnam；UN 资助访问
Himanshu Prakash校友 · Visiting researcher · 2007-05–2007-07导师：Xiaofang ZHOU	—	来自 IIT Kanpur；研究实习
Mitsuaki Nakasumi校友 · Visiting researcher · 2006-04–2007-03导师：Xiaofang ZHOU	—	来自 Komazawa University；休假访问
Hyu Chan Park校友 · Visiting researcher · 2005-08–2007-02导师：Xiaofang ZHOU	—	来自 Korea Maritime University；休假访问
Yuan Shi校友 · Visiting researcher · 2006-09–2007-03导师：Xiaofang ZHOU	Wuhan University	研究实习
Boxuan Zhai校友 · Visiting researcher · 2006-09–2007-03导师：Xiaofang ZHOU	Wuhan University	研究实习
Jeffrey Yu校友 · Visiting researcher · 2006-07导师：Xiaofang ZHOU	—	来自 CUHK
Tim Merrett校友 · Visiting researcher · 2006-04导师：Xiaofang ZHOU	—	来自 McGill University；休假访问
Xia Cao校友 · Visiting researcher · 2005-09–2005-12导师：Xiaofang ZHOU	—	来自 National University of Singapore；研究实习
Jizhou Lou校友 · Visiting researcher · 2005-07–2005-11导师：Xiaofang ZHOU	—	来自 Harbin Institute of Technology；研究实习
Haijun Wu校友 · Visiting researcher · 2004-07–2005-07导师：Xiaofang ZHOU	—	来自 Nanjing University；休假访问
Zhiyong Peng校友 · Visiting researcher · 2004-11导师：Xiaofang ZHOU	—	来自 Wuhan University
Guihai Chen校友 · Visiting researcher · 2000-07–2000-08导师：Xiaofang ZHOU	—	来自 Nanjing University
Sanglu Lu校友 · Visiting researcher · 1999导师：Xiaofang ZHOU	—	来自 Nanjing University
Chun Chau LiPhD导师：Xiaofang ZHOUIIP	—	共同指导
Zhengjun HuangPhD导师：Xiaofang ZHOUCSE	—
Chuang ZhaoPhD导师：Xiaofang ZHOUECE	—	共同指导
Wei Chen (Soochow visiting PhD)校友 · Visiting PhD · 2016-10 起 12 个月导师：Xiaofang ZHOU	Soochow University PhD 在读	CSC 资助访问
Haoxi LiPhD · 2024–导师：Song GUOCSE LinkedIn · Google Scholar · ORCID · GitHub GitHub 关注 1 Stars 0	2019–2023 Northwestern Polytechnical University 本科 2024– HKUST PhD, CSE	large reasoning models、metacognition、agentic RL、vision-language agents Fleet leader
Xiaosong MaPost-doctoral Fellow · 2025–导师：Song GUO	2015–2019 Southeast University BSc, Information Engineering 2019–2022 Southeast University MEng, Cyber Science 2022 入学 Hong Kong Polytechnic University PhD, Computer Science	Agentic AI Theory；federated learning、edge computing、machine-learning security
Enze MaPhD · 2024–导师：Song GUOCSE	2018–2022 Hong Kong Polytechnic University BEng, Civil Engineering 2022–2023 HKUST MSc, Intelligent Building Technology and Management	computer vision、multimodal LLMs
Haoyue ZhangPhD · 2024–导师：Song GUOCSE GitHub 关注 3 Stars 7	2016–2020 Southwest Jiaotong University BSc, Electronic Information 2020–2023 Institute of Computing Technology, Chinese Academy of Sciences MSc, Computer Applied Technology	efficient LLM reasoning、Edge AI、machine learning
Sikai BaiPhD · 2024–导师：Song GUOCSE	2015–2019 China University of Geosciences, Wuhan Bachelor, Information Engineering 2019–2022 Northwestern Polytechnical University Master, AI/Optics/Electronics	computer vision、federated learning、vision-language models SenseTime Shanghai · Intern（硕士毕业后、HKUST 入读前）2022-05–2023-01 ；2023-01–08 在 PolyU 任 RA，与 Jie Zhang 合作
Yongjiang LiuPhD · 2024–导师：Song GUOCSE	2014–2018 Northwestern Polytechnical University BSc, Aeronautical Engineering 2018–2021 Northwestern Polytechnical University MSc, Computer Science and Technology	LLMs、few-shot learning
Xuanzhi FengPhD · 2025–导师：Song GUOCSE	—	Agentic AI Theory
Peiran XuMPhil · 2026–导师：Song GUOCSE	—	Agentic AI Theory
Zeyu LiuMPhil · 2024–导师：Song GUOCSE	2019–2023 Shandong University BEc, Finance	computer vision、AI for Science
Haodong WangPhD · 2024–导师：Song GUOCSE	2020–2024 Harbin Institute of Technology 本科, Mathematics 2024–2028（个人档案所列） HKUST PhD, CSE	ML systems、on-device inference、LLM quantization Fleet leader
Jian LinPhD · 2024–导师：Song GUOCSE Google Scholar · GitHub GitHub 关注 0 Stars 7	2015–2019 Jiangxi University of Science and Technology BE, Information and Computing Science 2020–2023 Shantou University MSc, Computer Science and Technology	computing systems、LLM agents、serverless computing 硕士导师 Jianlong Xu；2022-09–2023-04 在中山大学、香港理工大学任 RA，合作导师 Wuhui Chen、Song Guo
Qianli LiuPhD · 2024–导师：Song GUOCSE Google Scholar · ORCID · GitHub GitHub 关注 1 Stars 8	2024 Hong Kong Polytechnic University BSc, Computing; minor Applied Mathematics	stateful AI systems、distributed MoE serving、inference-state/KV-cache management
Yufeng YangMPhil · 2026–导师：Song GUOCSE	—	Edge-Native AI System
Jiazhi MiPhD · 2025–导师：Song GUOCSE	—	Edge-Native AI System
Pengfei WuPhD · 2025–导师：Song GUOCSE	—	Edge-Native AI System
Zile WangPhD · 2025–导师：Song GUOCSE	—	Edge-Native AI System
Yangjia HuPhD · 2026–导师：Song GUOCSE 简历 · GitHub GitHub 关注 7 Stars 6	2022–2026 USTC BSc, Computer Science and Technology	AI infrastructure for LLM/VLM/world models；computer architecture
Fangqi ZhuPhD · 2024–导师：Song GUOCSE Google Scholar · GitHub GitHub 关注 6 Stars 0	2017-09–2021-06 Wuhan University BEng, Software Engineering 2021-09–2024-01 Harbin Institute of Technology, Shenzhen MEng, Computer Science and Technology 2024– HKUST PhD, CSE	robot learning、world models、reinforcement learning International Digital Economy Academy · Research Intern, DataStory AI Lab（入读 HKUST PhD 前）2022-09–2023-03 4Paradigm · Research Intern（入读 HKUST PhD 前）2023-04–2023-12 ByteDance Seed · Research Intern, Robotics（入读 HKUST 前开始，延续至 PhD 期间）2024-03–2025-09 ByteDance Seed · Research Intern, Multimodal（PhD 期间）2025-09–2026-05 NVIDIA GEAR · Research Intern, world models（PhD 期间）2026-05– 个人主页计划 2027 年毕业并进入 industry job market Fleet C leader；NVIDIA 合作者为 Shenyuan Gao、Yuke Zhu、Jim Fan
Xiaoyi PangPost-doctoral Fellow · 2024–导师：Song GUO Google Scholar · ORCID · GitHub · OpenAlex OpenAlex 近三年 30 引用 1,028 h-index 15 GitHub 关注 0 Stars 0	2018 Wuhan University BEng, Information Security 2023 Wuhan University PhD, Cyberspace Security	edge intelligence、end-edge-cloud、privacy/security、IoT、mobile crowdsensing 博士导师 Zhibo Wang；2019-09–12 在 CUHK 随 John C.S. Lui 任 RA
Hui LiuPhD · 2026–导师：Song GUOCSE	—	Generalized World Model
Quanxin ShouPhD · 2025–导师：Song GUOCSE	2021–2025 Beihang University Bachelor, Automation	robot learning、world models for embodied agents
Zhengyang YanMPhil · 2025–导师：Song GUOCSE	—	Generalized World Model
Junhao LiPhD · 2026–导师：Song GUOCSE	—	Generalized World Model
Yikun MiaoPhD · 2026–导师：Song GUOCSE	—	Generalized World Model
Jian LiuPhD · 2025–导师：Song GUOCSE GitHub · DBLP · ORCID DBLP 近三年 39 GitHub 关注 113 Stars 1,539	2018-09–2022-06 Harbin Institute of Technology Bachelor, Software Engineering 2022-09–2024-12（CV） Harbin Institute of Technology Master, Computer Science 2025-09– HKUST PhD, CSE	artist-style mesh generation、3D creation、3D worlds 与 sim-to-real Alibaba · Software Dev Engineer Intern（入读 HKUST PhD 前）2021-08–2021-10 Megvii Research · Research Intern（入读 HKUST PhD 前）2022-05–2023-08 Shanghai AI Lab · Research Intern（入读 HKUST PhD 前）2023-09–2024-07 Tencent Hunyuan · Research Intern（入读 HKUST PhD 前）2024-08–2025-06 Tencent Hunyuan · Qingyun Research Intern（2025-09 入读 PhD 前开始，延续至 PhD 期间）2025-07–2026-07 Fleet D leader；Tencent mentors 为 Chunchao Guo、Biwen Lei
Bohai GuPhD · 2024–导师：Song GUOCSE GitHub GitHub 关注 2 Stars 219	2017–2021 UESTC BEng, Software Engineering 2021–2024 Institute of Software, Chinese Academy of Sciences MSc, Software Engineering	interactive video world models、image/video AIGC Alibaba DAMO Academy, Vision Technology Lab · Research Intern（硕士毕业及转入 HKUST 阶段）2024-01–2024-09 Tencent Video · Research Intern, AI Technology Center
Hao ChenPhD · 2024–导师：Song GUOCSE Google Scholar · GitHub GitHub 关注 8 Stars 83	2017–2021 Shandong University BEng, Communication Engineering 2021–2024 Zhejiang University MSc, Aeronautical and Astronautical Science	AI for Science、numerical weather prediction、computer vision 硕士导师 Zheming Lu
Jinxiang LaiPhD · 2024–导师：Song GUOCSE Google Scholar · GitHub GitHub 关注 8 Stars 103	2013–2017 Guangdong University of Technology BEng, Optoelectronics Information Science and Engineering 2017–2020 Guangdong University of Technology MSc, Electronic Science and Technology	computer vision、multimodal LLMs、few-shot learning Tencent Youtu Lab · Computer Vision Algorithm Researcher（2024 入读 HKUST PhD 前）2020–2024 硕士导师 Liang Lei
Tao HanPhD · 2024–导师：Song GUOCSE GitHub 关注 98 Stars 658	2015–2019 Northwestern Polytechnical University BEng, Transportation Equipment and Control Engineering 2019–2022 Northwestern Polytechnical University MSc, Computer Science and Technology	AI for Science、numerical weather prediction、computer vision Shanghai AI Laboratory · Research Assistant, AI4Science（入读 HKUST PhD 前）2022-04–2024-01 Shanghai AI Lab · Research Intern（PhD 期间，GitHub 自述）硕士导师 Qi Wang；上海 AI 实验室合作导师 Lei Bai、Wanli Ouyang
Xiaocheng LuPhD · 2024–导师：Song GUOCSE GitHub 关注 0 Stars 78	2015–2019 Northwestern Polytechnical University BSc, Automation 2019–2022 Northwestern Polytechnical University MEng, Computer Science	large language/vision models、AIGC、AI for Science、low-shot learning Shanghai AI Laboratory · Research Intern, AI4Science（本人简介所列此前经历）硕士导师 Qi Wang；上海 AI 实验室合作导师 Lei Bai、Wanli Ouyang
Dazhao DuPhD · 2025–导师：Song GUOCSE	2016–2020 Tsinghua University BSc, Control Engineering 2020–2023 University of Chinese Academy of Sciences MSc, CSE	multimodal LLMs、video understanding ByteDance · Algorithm Engineer Intern（硕士期间）2022-07–2022-11 Beihang University Hangzhou Innovation Institute · Algorithm Engineer（入读 HKUST 前）2023-07–2025-03 Tencent PCG · Research Intern（PhD 期间）2026-03–
Hualei ZhangPhD · 2025–导师：Song GUOCSE	—	Pervasive AI Generative Content
Linsen WangPost-doctoral Fellow · 2026–导师：Song GUO	—	Pervasive AI Generative Content
Jian ChenSenior Research Scientist导师：Song GUO	—
Jie ZhangResearch Assistant Professor · 2024-09–导师：Song GUO	2011–2015 China University of Geosciences BEng 2015–2018 China University of Geosciences MEng 2019–2022 Hong Kong Polytechnic University PhD	edge computing、federated learning、distributed AI、foundation models 博士导师 Song Guo；2022–2024 在 PolyU 任 postdoc
Zicong Hong校友 · Postdoctoral Research Fellow · 2025-01–2025-10导师：Song GUO 简历	2015-09–2020-07 Sun Yat-sen University BEng, Software Engineering 2020-09–2025-01 Hong Kong Polytechnic University PhD	cloud-edge-end AI systems Scientist, EPFL Distributed Computing Lab，2025-11 起；与 Rachid Guerraoui 合作博士与 HKUST postdoc 导师 Song Guo；2023 ETH Zürich、2024 University of Aizu visiting scholar
Weixiang ZhangPhD导师：Song GUOIIP	—	共同指导；；Individualized Interdisciplinary Program
Hon Hing CHAKPhD导师：Raymond Chi-Wing WONGCSE	—	；MPhil 2022
Rubin LIPhD导师：Raymond Chi-Wing WONGCSE	—
Hao LIUPhD导师：Raymond Chi-Wing WONGCSE	—
Kaibin LUPhD导师：Raymond Chi-Wing WONGCSE	—
Hong SUPhD导师：Raymond Chi-Wing WONGCSE	—
Weile TANPhD导师：Raymond Chi-Wing WONGCSE	—
Xubang XIONGPhD导师：Raymond Chi-Wing WONGCSE	—
Jinming ZHANGPhD导师：Raymond Chi-Wing WONGCSE	—
Junjie LIU校友 · MPhil · 2026导师：Raymond Chi-Wing WONGCSE	2026 HKUST MPhil	Software Engineer, Investment Company
Qixu CHEN校友 · PhD · 2025导师：Raymond Chi-Wing WONGCSE	2025 HKUST PhD	Researcher, Huawei Research
Yinzhao YAN校友 · PhD · 2025导师：Raymond Chi-Wing WONGCSE	2025 HKUST PhD	Researcher, Huawei Research
Libin WANG校友 · PhD · 2024导师：Raymond Chi-Wing WONGCSE	2024 HKUST PhD	Associate Professor, Northwestern Polytechnical University
Yuanfeng SONG校友 · PhD · 2024导师：Raymond Chi-Wing WONGCSE	2024 HKUST PhD	Researcher, ByteDance
Weicheng WANG校友 · PhD · 2023导师：Raymond Chi-Wing WONGCSE	2023 HKUST PhD	Tenure-Track Professor, Beijing Institute of Technology (Zhuhai)
Xiaotian YOU校友 · MPhil · 2023导师：Raymond Chi-Wing WONG	—	Software Engineer, Jane Street
Tianwen CHEN校友 · PhD · 2022导师：Raymond Chi-Wing WONG	—	Machine Learning Engineer, Kuaishou ；MPhil 2019
Dandan LIN校友 · PhD · 2021导师：Raymond Chi-Wing WONG	—	Applied Researcher, Tencent WeChat Business Group
Yuen Hoi LAU校友 · MPhil · 2021导师：Raymond Chi-Wing WONG	—	Senior Quantitative Analyst, MacroValue Investors
Zheng ZHANG校友 · MPhil · 2021导师：Raymond Chi-Wing WONG	—	Developer, Alibaba
James Shing Chun YIP校友 · MPhil · 2020导师：Raymond Chi-Wing WONG	—	Private tutor
Harry Kai Ho CHAN校友 · PhD · 2019导师：Raymond Chi-Wing WONG	—	Lecturer, University of Sheffield ；MPhil 2015
Min XIE校友 · PhD · 2019导师：Raymond Chi-Wing WONG	—	Researcher, Shenzhen Institute of Computing Science
Sepanta ZEIGHAMI校友 · MPhil · 2019导师：Raymond Chi-Wing WONG	—	PhD, University of Southern California
Victor Junqiu WEI校友 · PhD · 2018导师：Raymond Chi-Wing WONG	—	Researcher, Huawei Noah’s Ark Lab
Ken Chung Hin KWOK校友 · MPhil · 2018导师：Raymond Chi-Wing WONG	—	R&D, HKUST
Minhao JIANG校友 · PhD · 2017导师：Raymond Chi-Wing WONG	—	R&D, TuSimple
Joe Wing Ho LIN校友 · MPhil · 2017导师：Raymond Chi-Wing WONG	—	Lecturer, HKCC
Kwok Wai WONG校友 · MPhil · 2016导师：Raymond Chi-Wing WONG	—	Research Assistant, Hang Seng Management College
Chengxi YANG校友 · MPhil · 2016导师：Raymond Chi-Wing WONG	—	R&D, SenseTime
Coleman YU校友 · MPhil · 2016导师：Raymond Chi-Wing WONG	—	PhD, Kyoto University
Cheng LONG校友 · PhD · 2015导师：Raymond Chi-Wing WONG	—	Assistant Professor, Nanyang Technological University
Peng PENG校友 · PhD · 2015导师：Raymond Chi-Wing WONG	—	Senior Algorithm Engineer, Alibaba
Dickson Kin Long HO校友 · MPhil · 2015导师：Raymond Chi-Wing WONG	—	R&D, Radica
Pakawadee PENGCHAROEN校友 · MPhil · 2015导师：Raymond Chi-Wing WONG	—	Business Analyst, Phatra Securities
Bin ZHANG校友 · MPhil · 2013导师：Raymond Chi-Wing WONG	—	Software Development Engineer, Amazon
Yu PENG校友 · PhD · 2012导师：Raymond Chi-Wing WONG	—	Technology Analyst, JP Morgan
Liangliang YE校友 · MPhil · 2011导师：Raymond Chi-Wing WONG	—	R&D, Merrill Lynch
Lian LIU校友 · MPhil · 2010导师：Raymond Chi-Wing WONG	—	PhD, University of Southern California
Qian WAN校友 · MPhil · 2010导师：Raymond Chi-Wing WONG	—	PhD, University of Wisconsin-Madison
Manohar (Manu) Kaul校友 · Visiting student导师：Raymond Chi-Wing WONG	—
Qi Wang校友 · Visiting student导师：Raymond Chi-Wing WONG	—
Tae Jun Lee校友 · Graduate student导师：Raymond Chi-Wing WONG	—	Co-founder, StoreRush
Kit Shun ChengPhD导师：Raymond Chi-Wing WONGCSE	—
Jinwei LuPhD导师：Raymond Chi-Wing WONGCSE	—
Sisuo LyuPhD导师：Raymond Chi-Wing WONGCSE	—
Yukai SunPhD导师：Raymond Chi-Wing WONGCSE	—
Hyun Fung KwongMPhil导师：Raymond Chi-Wing WONGCSE	—
Ka Kit LuiMPhil导师：Raymond Chi-Wing WONGCSE	—
Tianlang He校友 · PhD · 2026导师：Raymond Chi-Wing WONGCSE	—	共同指导；
Zheng LIU校友 · PhD · 2018导师：Lei CHEN	—	researcher at MSRA. Doctor, Graduated in August 2018, now researcher at MSRA.
Yongqi ZHANG校友 · PhD · 2020导师：Lei CHEN GitHub · Google Scholar · ORCID GitHub 关注 38 Stars 58	—	researcher at 4Paradigm. Doctor, Graduated in March 2020, now researcher at 4Paradigm.
Shimin DI校友 · PhD · 2022导师：Lei CHEN Google Scholar · DBLP · GitHub · ORCID DBLP 近三年 78 GitHub 关注 4 Stars 2	—	Postdoc at HKUST. Doctor, Graduated in January 2022, now Postdoc at HKUST.
Jingshu PENG校友 · PhD · 2022导师：Lei CHEN	—	Doctor, Graduated in September 2022.
Haoyang LI校友 · PhD导师：Lei CHENCSE	2023 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST
Likang WANG校友 · PhD导师：Lei CHENCSE	2024 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST
Ge LV校友 · PhD导师：Lei CHENCSE	2023 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST
YeongSeo JungPhD导师：Lei CHENCSE	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Jia LI校友 · PhD导师：Lei CHENCSE	2024 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST
Linrui LIPhD导师：Lei CHENCSE	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Xujia LI校友 · PhD导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	2024 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST；Individualized Interdisciplinary Program
Hanmo LIU校友 · PhD导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST；共同指导；Individualized Interdisciplinary Program
Shihong GAO校友 · PhD导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST；共同指导；Individualized Interdisciplinary Program
Jialiang WANGPhD导师：Lei CHENCSE	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Eunseo JUNGMPhil导师：Lei CHENCSE	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Luyu QIUPhD导师：Lei CHENCSE	—	Ph.D Student (Part-time) in Department of Computer Science and Engineering, HKUST
Yuchen LIUPhD导师：Lei CHEN	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Hao XIN校友 · PhD导师：Lei CHENCSE	2024 HKUST PhD	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Chengmin WU (Rebacca)PhD导师：Lei CHEN	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Jiawei Zhou校友 · PhD导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	2026 HKUST PhD	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11；Individualized Interdisciplinary Program
Jianxia LINPhD导师：Lei CHEN	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Zhifeng JiaPhD导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11；Individualized Interdisciplinary Program
Yushi SUN校友 · PhD导师：Lei CHENCSE	2025 HKUST PhD	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Yubo WANGPhD导师：Lei CHENCSE	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Fei TENGPhD导师：Lei CHENCSE	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Yueying LIUPhD导师：Lei CHEN	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Shi CHENPhD导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11；共同指导；Individualized Interdisciplinary Program
Tianhao TANGPhD导师：Lei CHENCSE	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Chunming MAPhD导师：Lei CHEN	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Xueling LIN (Sherry)校友 · Graduate student导师：Lei CHEN	—
Meng RUI (Rachel)校友 · Graduate student导师：Lei CHEN	—
Yunfan CHEN校友 · Graduate student导师：Lei CHEN	—
Anxin Tian校友 · PhD导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD	graph data management ；Individualized Interdisciplinary Program
Qixiao ZhongMPhil导师：Lei CHEN	—	graph data management
Xun Jian校友 · PhD导师：Lei CHEN	—	graph data management
Yue Wang校友 · PhD导师：Lei CHEN	—	graph data management
Zijian Li校友 · PhD导师：Lei CHEN	—	graph data management
Xiaofei Zhang校友 · PhD导师：Lei CHEN	—	graph data management
Xiang Lian校友 · PhD导师：Lei CHEN	—	graph data management
Yongxin Tong校友 · PhD · 2014导师：Lei CHEN	—	Professor, Beihang University
Yingxia Shao校友 · RA导师：Lei CHEN	—	graph data management
Wenjie Liu校友 · Visitor导师：Lei CHEN	—	graph data management
Yuxiang ZengPostdoc导师：Lei CHEN	—	spatial-temporal crowdsourcing
Qiyu LiuPostdoc导师：Lei CHEN	—	spatial-temporal crowdsourcing
Maocheng Li校友 · PhD导师：Lei CHENCSE	2025 HKUST PhD	spatial-temporal crowdsourcing
Jiachuan Wang校友 · PhD导师：Lei CHENCSE	2024 HKUST PhD	spatial-temporal crowdsourcing
Zengyang Gong校友 · PhD导师：Lei CHENCSE	2025 HKUST PhD	spatial-temporal crowdsourcing
Zhao Chen校友 · PhD · 2020导师：Lei CHEN	—
Libin Zheng (Robin)校友 · PhD · 2019导师：Lei CHEN	—	Associate Professor, Sun Yat-sen University
Peng Cheng校友 · PhD · 2017导师：Lei CHEN	—	Researcher / Associate Professor, East China Normal University
Chen Cao校友 · PhD · 2014导师：Lei CHEN	—
Rui Fu校友 · MPhil · 2015导师：Lei CHEN	—
Leihao Xia校友 · MPhil · 2015导师：Lei CHEN	—
Ziyuan Zhao校友 · MPhil · 2015导师：Lei CHEN	—	WeChat, Tencent
Jiayang Tu (Fiona)校友 · MPhil · 2018导师：Lei CHEN	—	Lenovo HK
Manli Yu校友 · MPhil · 2021导师：Lei CHEN	—
Siyuan HanPhD导师：Lei CHENCSE	Harbin Institute of Technology BEng HKUST MSc, IT	database and blockchain systems
Zihuan Xu校友 · PhD导师：Lei CHENCSE	Sichuan University BEng HKUST MSc, IT 2023 HKUST PhD	database and blockchain systems
Wangze Ni校友 · PhD导师：Lei CHENCSE	Zhejiang University BEng HKUST MPhil, TLE 2023 HKUST PhD	database and blockchain systems
Weijie Sun校友 · PhD导师：Lei CHENCSE	Zhejiang University BEng 2026 HKUST PhD	database and blockchain systems
Pengze ChenPhD导师：Lei CHENCSE	Sun Yat-sen University BEng HKUST MSc, BDT	database and blockchain systems
Nian Chen校友 · MPhil导师：Lei CHEN	Zhejiang University BA HKUST MPhil, TLE
Weihong Wang校友 · RA导师：Lei CHEN	Huazhong University of Science and Technology BEng
Chouyue HuangPhD导师：Lei CHENAtmospheric Environmental Science	—	共同指导；
Tong LiPhD导师：Lei CHENCSE	—	共同指导；
Ran LiPhD导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	—	；Individualized Interdisciplinary Program
Qiqi ZhouPhD导师：Lei CHENCSE	—
Zhiyuan LiPhD导师：Lei CHENCSE	—
Xin Zhang校友 · PhD · 2026导师：Lei CHENIndividualized Interdisciplinary Program (Data Science and Analytics)	—	；Individualized Interdisciplinary Program
Jingzhi Fang校友 · PhD · 2024导师：Lei CHENCSE	—
Alexander Tiannan Zhou校友 · PhD · 2024导师：Lei CHENCSE	—
Man Li校友 · PhD · 2023导师：Lei CHENIndustrial Engineering and Decision Analytics	—	共同指导；
Yiming Li校友 · PhD · 2023导师：Lei CHENCSE	—
Xueyang Wu校友 · PhD · 2023导师：Lei CHENCSE	—	共同指导；
Mengxuan Li校友 · MPhil · 2025导师：Lei CHENCSE	—
Kai Hiu Chung校友 · MPhil · 2023导师：Lei CHENCSE	—
Wing-Kwong Chan, Ricky校友 · Postdoc · 2005–2006导师：Shing-Chi CHEUNG DBLP · ORCID DBLP 近三年 18	2004 University of Hong Kong PhD	Associate Professor, City University of Hong Kong PhD 2004, HKU
Meiziniu LiPhD导师：Shing-Chi CHEUNGCSE GitHub GitHub 关注 10 Stars 14	2020 HUST BSc, AI and Automation	LLM-driven software testing；TensorFlow/PyTorch library analysis PhD student working on deep learning library testing；曾随 UIUC Lingming Zhang 访问研究
Tsz-On LiPhD导师：Shing-Chi CHEUNGCSE	—	neural-symbolic test generation PhD student working on neural-symbolic test generation
Xiao ChenPhD导师：Shing-Chi CHEUNGCSE	—	neural-symbolic code analysis and test update PhD student working on neural-symbolic code analysis and test update
Xiaolei LiPhD导师：Shing-Chi CHEUNGCSE	—	neural-symbolic fault detection for mobile apps PhD student working on neural-symbolic fault detection for mobile apps
Songqiang ChenPhD导师：Shing-Chi CHEUNGCSE DBLP · ORCID DBLP 近三年 30	Wuhan University Bachelor Wuhan University Master	AI4SE、SE4AI、metamorphic testing PhD student working on neural-symbolic software engineering；本科和硕士导师 Xiaoyuan Xie
Weiqi LuPhD导师：Shing-Chi CHEUNGCSE	—	neural-symbolic fault detection for data visualization software PhD student working on neural-symbolic fault detection for data visualization software
Dongze LiPhD导师：Shing-Chi CHEUNGCSE GitHub 关注 0 Stars 0	—	intelligent software engineering PhD student working on intelligent software engineering
Jingyi ChenPhD导师：Shing-Chi CHEUNGCSE GitHub GitHub 关注 1 Stars 1	2024 Nankai University BS, Computer Science and Technology 2024– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Shing-Chi Cheung；Jiasi Shen	AI for Software Engineering、检索增强代码生成 PhD student
Zongyi LyuPhD导师：Shing-Chi CHEUNGCSE 简历 · GitHub GitHub 关注 1 Stars 0	2024 Harbin Institute of Technology, Shenzhen Bachelor	SE for AI、coding-agent testing、causality-based analysis PhD student；本科导师 Cuiyun Gao
Xiaohan Zhong, ElaineMPhil导师：Shing-Chi CHEUNGCSE	—	software engineering and Generative AI MPhil student working on software engineering and Generative AI
Hau Ching Lo, YoannaMPhil导师：Shing-Chi CHEUNGCSE	—	software engineering and Generative AI MPhil student working on software engineering and Generative AI
Lu Liu校友 · PhD · 2026导师：Shing-Chi CHEUNGCSE 简历 · GitHub GitHub 关注 4 Stars 6	2026 HKUST PhD	Enhancing Smart Contract Security: Empirical Characterization, Fault Analysis, and Vulnerability Detection Huawei Huawei PhD 2026
Congying Xu校友 · PhD · 2026导师：Shing-Chi CHEUNGCSE	2026 HKUST PhD	Automated and Effective Metamorphic Testing: Relation Discovery, Deduction, and Generation PhD 2026
Haoyang Ma校友 · PhD · 2025导师：Shing-Chi CHEUNGCSE	2025 HKUST PhD	Fault Characterization and Testing for Domain-Specific Compilers ByteDance ByteDance PhD 2025
Hengcheng Zhu校友 · PhD · 2025导师：Shing-Chi CHEUNGCSE DBLP · ORCID DBLP 近三年 21	2025 HKUST PhD	Towards Emulating Interactions for Effective Software Testing PhD 2025
Jiarong Wu校友 · PhD · 2025导师：Shing-Chi CHEUNGCSE	2025 HKUST PhD	Towards Bridging Human Requirements and Program Synthesis Huawei Huawei PhD 2025
Wuqi Zhang校友 · PhD · 2024导师：Shing-Chi CHEUNGCSE	2024 HKUST PhD	Defect Detection for Smart Contracts and Blockchain Applications MegaETH MegaETH PhD 2024
Ka Wing Yoyo Yeung校友 · MPhil · 2024导师：Shing-Chi CHEUNGCSE	2024 HKUST MPhil	Incorporating Domain-Specific Insights for Automated Test Generation MPhil 2024
Jialun Cao校友 · PhD · 2024导师：Shing-Chi CHEUNGCSE	2024 HKUST PhD	Towards Automatic Testing and Fault Localization in Natural Language Processing Systems Research Assistant Professor, HKUST Research Assistant Professor, HKUST PhD 2024
Jiajun Hu校友 · PhD · 2024导师：Shing-Chi CHEUNGCSE	2024 HKUST PhD	Towards Automated Testing of WebViews in Android Applications Huawei (Hong Kong) Huawei (Hong Kong) PhD 2024
Huaxun Huang校友 · PhD · 2023导师：Shing-Chi CHEUNGCSE GitHub GitHub 关注 3 Stars 0	2023 HKUST PhD	Towards Automatic Detection and Repair of Compatibility Issues in Android Apps Xiamen University Xiamen University PhD 2023
Yongqiang Tian校友 · Dual-PhD · 2023导师：Shing-Chi CHEUNGCSE	2023 HKUST PhD	Assessing the Reliability of Deep Learning Applications Monash University Monash University Dual-PhD 2023
Ching Hang Mak, David校友 · MPhil · 2023导师：Shing-Chi CHEUNGCSE	2023 HKUST MPhil	Test Dependency Minimization for Java Programs PhD student, HKUST PhD student, HKUST MPhil 2023
Yuqing Quan校友 · MPhil · 2023导师：Shing-Chi CHEUNGCSE	2023 HKUST MPhil	Restation: Effective Identifying Dependencies between Restful APIs via Dynamic Analysis MPhil 2023；共同指导
Hang Xu校友 · MPhil · 2020导师：Shing-Chi CHEUNG	—	Coverage-Directed Differential Testing of EVM Implementations Tencent Tencent MPhil 2020
Lili Wei校友 · PhD · 2020导师：Shing-Chi CHEUNG GitHub GitHub 关注 36 Stars 4	—	Taming Fragmentation-Induced Compatibility Issues in Android Applications McGill University McGill University PhD 2020
Mijung Kim校友 · PhD · 2019导师：Shing-Chi CHEUNG	—	Towards Practical Automated Software Testing UNIST UNIST PhD 2019
Ming Wen校友 · PhD · 2019导师：Shing-Chi CHEUNG DBLP · ORCID DBLP 近三年 28	—	Utilizing Code Change Information for Better Automated Debugging Huazhong University of Science and Technology (HUST) Huazhong University of Science and Technology (HUST) PhD 2019
King Sun Chan校友 · MPhil · 2018导师：Shing-Chi CHEUNG	—	Assessing Relative Code Complexity Introduced by Optional Features to a Software Product Line MPhil 2018
Rongxin Wu校友 · PhD · 2017导师：Shing-Chi CHEUNG	—	Automated Techniques for Diagnosing Crashing Bugs Xiamen University Xiamen University PhD 2017
Valerio Terragni校友 · PhD · 2017导师：Shing-Chi CHEUNG	—	Towards Effective Regression Testing of Concurrent Programs University of Auckland University of Auckland PhD 2017
Yepang Liu校友 · PhD · 2015导师：Shing-Chi CHEUNG	—	Automated Analysis of Energy Efficiency and Execution Performance for Mobile Applications Southern University of Science and Technology (SUSTech) Southern University of Science and Technology (SUSTech) PhD 2015
Wanjun Chen, Melody校友 · MPhil · 2015导师：Shing-Chi CHEUNG	—	Automatic Spreadsheet Cell Clustering and Smell Detection using Strong and Weak Features Goldman Sachs Goldman Sachs MPhil 2015
Yueqi Li校友 · PhD · 2015导师：Shing-Chi CHEUNG	—	Scalable Symbolic Analysis of Large Real World Programs Using API Abstraction and Execution Histories Entrepreneur Entrepreneur PhD 2015；MPhil 2010 MPhil 2010
Qiaona Hong校友 · MPhil · 2013导师：Shing-Chi CHEUNG	—	The Anatomy of Developer Social Networks Bank of America Bank of America MPhil 2013
Tate Poon校友 · MPhil · 2012导师：Shing-Chi CHEUNG	—	A Study of Eliminating Irrelevant Access Patterns for Fault Localization in Concurrent Programs OGCIO OGCIO MPhil 2012
Liping Gao校友 · MPhil · 2011导师：Shing-Chi CHEUNG	—	Failure Proximity for Context-Aware Applications Sogou Tech Sogou Tech MPhil 2011
Cham-ho Ting, Ivan校友 · MPhil · 2010导师：Shing-Chi CHEUNG	—	Testing Strategy in Discovering Faults in Workflow MPhil 2010
Xinming Wang, Rubin校友 · PhD · 2010导师：Shing-Chi CHEUNG	—	Automatic Localization of Code Omission Faults Lakala Finance Lakala Finance PhD 2010
Zhifeng Lai校友 · PhD · 2010导师：Shing-Chi CHEUNG	—	Effective Detection of Atomic-Set Serializability Violation in Multithreaded Programs AIA AIA PhD 2010
Dongming Xu校友 · MPhil · 2009导师：Shing-Chi CHEUNG	—	On the testing of the RFID security MPhil Computer Science and Technology 2009
Chunlin Zhu校友 · MPhil · 2009导师：Shing-Chi CHEUNG	—	Classify and Rank Daikon Invariants on Embedded Systems CMB Capital International ( 招银国际 ) ) MPhil 2009
Chunyang YE, Jerry校友 · PhD · 2008导师：Shing-Chi CHEUNG	—	Atomicity Analysis for Service Composition Professor, Hainan University Professor, Hainan University PhD 2008
Chang XU校友 · PhD · 2008导师：Shing-Chi CHEUNG	—	Inconsistency Detection and Resolution for Context-Aware Pervasive Computing Professor, Department of Computer Science, Nanjing University Nanjing University PhD 2008
Tsz Hin NG, Sam校友 · PhD · 2008导师：Shing-Chi CHEUNG	—	The Effects of Pre-deploying Design Patterns on Software Changes PCCW PCCW PhD 2008
Mian Qin校友 · MPhil · 2008导师：Shing-Chi CHEUNG	—	Wireless Sensor Network Fault Localization Thesis: Wireless Sensor Network Fault Localization MPhil 2008
Yuet-Mei LO, Cindy校友 · MPhil · 2005导师：Shing-Chi CHEUNG	—	Business Process Atomicity Analysis Supporting Late Task Property Bindings MPhil 2005
Yu-Ho YIU, Matt校友 · MSc · 2005导师：Shing-Chi CHEUNG	—	HSBC MSc 2005
Wing-Leung CHAN, Christina校友 · MSc · 2004导师：Shing-Chi CHEUNG	—	MSc 2004
Sze-Chit HO, Cedric校友 · MPhil · 2004导师：Shing-Chi CHEUNG	—	A Framework for the Verification of Watermarking Protocols. Google, Mountain View, USA Google, Mountain View, USA MPhil 2004
Chin-Ching TSOI, Lancelot校友 · MSc · 2004导师：Shing-Chi CHEUNG	—	Pacific Supernet MSc 2004
Sze-Wan LEE, Yoki校友 · MSc · 2003导师：Shing-Chi CHEUNG	—	Project Manager, PeopleSoft MSc 2003
Kelvin LEUNG校友 · MSc · 2002导师：Shing-Chi CHEUNG	—	MSc 2002
Hanif CURREEM校友 · MPhil · 2002导师：Shing-Chi CHEUNG	—	Digital Copyright Management. ABN AMRO ABN AMRO MPhil 2002
Zhengdong Xu校友 · MPhil · 2001导师：Shing-Chi CHEUNG	—	Testing of Distributed Multimedia Systems. MPhil 2001
Ting-Pong IP, Vincent校友 · MSc · 2000导师：Shing-Chi CHEUNG	—	Cathay Pacific MSc 2000
Ka-Cheong WONG校友 · MPhil · 2000导师：Shing-Chi CHEUNG	—	Digital Rights Protection Against Watermark Attacks. AsiaPacific.net AsiaPacific.net MPhil 2000
Man-Yee CHAN校友 · MPhil · 1999导师：Shing-Chi CHEUNG	—	Extending White Box Testing to Database Applications. to Database Applications. MPhil 1999
Chi-Yung LAM校友 · MPhil · 1999导师：Shing-Chi CHEUNG	—	Modeling and Analyzing Web-Based Information Systems. Web-Based Information Systems. MPhil 1999
Kam-Fai LEUNG校友 · MPhil · 1998导师：Shing-Chi CHEUNG	—	A Framework for the Flexible Coupling of Groupware Widgets. Standard Chartered Bank Standard Chartered Bank MPhil 1998
Kwok-Hung CHEUNG, Herman校友 · MPhil · 1998导师：Shing-Chi CHEUNG	—	Compositional Analysis of Distributed Software Systems. Enterpreneur Enterpreneur MPhil 1998
Kam-Keung WONG校友 · MPhil · 1997导师：Shing-Chi CHEUNG	—	Distributed Multimedia Authoring using Software Structures. MPhil 1997
Chun-Man LO校友 · MPhil · 1996导师：Shing-Chi CHEUNG	—	Verification of Dense Real-Time Distributed Systems by Using Discrete-Time Methods. MPhil 1996
Zhengdong HuangPhD导师：Shing-Chi CHEUNGCSE	—
Yuanmin XiePhD导师：Shing-Chi CHEUNGCSE	—
Yu Hang ChowMPhil导师：Shing-Chi CHEUNGCSE	—
Tsz Tou ChuiMPhil导师：Shing-Chi CHEUNGCSE	—
CHEN, JialiangPhD, IIP导师：Yike GUO	—	共同指导
CHEN, LongPhD, IIP导师：Yike GUO	—	共同指导
CHEN, PengyuPhD, IIP导师：Yike GUO	—
CHEN, WenqiPhD, CSE导师：Yike GUO	—
DU, MengfeiPhD, IIP导师：Yike GUO	—	共同指导
FAN, LiaoyuanPhD, Arts and Machine Creativity导师：Yike GUO	—	共同指导
HUANG, YidanPhD, IIP导师：Yike GUO	—	共同指导
LIAO, XinyaoPhD, IIP导师：Yike GUO	—	共同指导
LIN, ZikangPhD, IIP导师：Yike GUO	—
WANG, DengyuxingPhD, CSE导师：Yike GUO	—
WANG, DongyuPhD, Arts and Machine Creativity导师：Yike GUO	—	共同指导
XU, HuaPhD, ECE导师：Yike GUO	—
YANG, JianPhD, IIP导师：Yike GUO	—
YANG, ZhiqinPhD, IIP · 2025–导师：Yike GUO Google Scholar · GitHub · LinkedIn GitHub 关注 23 Stars 292	Nanjing University of Science and Technology BS 2024 Beihang University MS 2025– HKUST PhD	LLM 推理与偏好对齐、智能体记忆、协同学习 GigaAI · Algorithm Intern2024-06–2024-09 Tencent LightSpeed · Algorithm Intern2025-11–2026-02 HKGAI · Algorithm Intern2025-08–2025-10 共同导师 Yike Guo、Wei Xue
ZHANG, XiaojiePhD, IIP导师：Yike GUO	—	共同指导
ZHANG, ZifuPhD, Arts and Machine Creativity导师：Yike GUO	—	共同指导
ZHAO, HengyuePhD, IIP导师：Yike GUO	—
ZHENG, HuajiangPhD, IIP导师：Yike GUO	—
ZHENG, MingxuanPhD, ECE导师：Yike GUO	—
ZHOU, WuyouPhD, IIP导师：Yike GUO	—	共同指导
BIAN, WeizhenPhD, IIP导师：Yike GUO	—	共同指导
CUI, YakunPhD, IIP导师：Yike GUO	—	共同指导
DENG, NingPhD, IIP导师：Yike GUO	—	共同指导
GU, HaoPhD, IIP导师：Yike GUO	—	共同指导
GUO, YijiePhD, IIP导师：Yike GUO	—
KOU, ZhizhuoPhD, IIP导师：Yike GUO	—	共同指导
LI, RuoxiPhD, IIP导师：Yike GUO	—	共同指导
LIN, SidaPhD, IIP导师：Yike GUO	—
LU, GuoyingPhD, IIP导师：Yike GUO	—	共同指导
NING, Evan KPhD, CSE导师：Yike GUO	—
SHI, XuanyuPhD, IIP导师：Yike GUO	—
SUN, JiapengPhD, IIP导师：Yike GUO	—	共同指导
WANG, DuorongPhD, IIP导师：Yike GUO	—
WANG, YurenPhD, CSE导师：Yike GUO	—
ZHANG, JingyiPhD, IIP导师：Yike GUO	—
ZHANG, YantingPhD, IIP导师：Yike GUO	—	共同指导
ZHANG, ZhenyuanPhD, IIP · 2025-02–导师：Yike GUO GitHub · Google Scholar GitHub 关注 14 Stars 31	2021 Nanjing University of Science and Technology BEng, Software Engineering HKUST 入学前 Nanjing University of Science and Technology PhD study, direct entry 2025-02– HKUST PhD, Artificial Intelligence	智能体记忆、动作生成、VLA 与具身智能共同导师 Yike Guo、Wei Xue；此前在 NJUST 随 Jianfeng Lu 读直博。
ZHOU, QinyiPhD, IIP导师：Yike GUO	—
ZHOU, YujinPhD, IIP导师：Yike GUO	—	共同指导
ZHU, JunqiPhD, IIP导师：Yike GUO	—	共同指导
ZHU, QiyuanPhD, IIP导师：Yike GUO	—
CAI, YiyangPhD, IIP导师：Yike GUO	—
CAO, ChuxuePhD, IIP导师：Yike GUO	—	共同指导
CHAN, Chi-minPhD, IIP导师：Yike GUO	—
CHEN, BaoyangPhD, IIP导师：Yike GUO	—	共同指导
CHENG, SitongPhD, IIP · 2024-09–导师：Yike GUO GitHub · Google Scholar GitHub 关注 19 Stars 74	2017–2021 Beijing University of Posts and Telecommunications BEng 2021–2022 CUHK MSc, Computer Science 2024-09– HKUST PhD	音频理解与生成、表达性同步语音到语音翻译 Microsoft Research Asia · Industry experience2021-02–2021-05 共同导师 Wei Xue、Yike Guo
HAN, SiruiPhD, CSE导师：Yike GUO	—
JIA, XianzhangPhD, IIP导师：Yike GUO	—
JIANG, ChunyangPhD, IIP导师：Yike GUO	—
JIN, YizhuPhD, IIP导师：Yike GUO	—	共同指导
JU, ChengyiPhD, CSE导师：Yike GUO	—
LI, YanPhD, IIP导师：Yike GUO	—
LIU, XinyuPhD, IIP · 2024-01–导师：Yike GUO GitHub · Google Scholar GitHub 关注 11 Stars 121	Xidian University BEng, Communication Engineering Xidian University MSc, Computer Science and Technology 2024-01– HKUST PhD, Artificial Intelligence	可控视频生成和编辑、统一多模态理解生成、强化学习后训练 Tsinghua University AIR · Research Intern2022-04–2023-10 Alibaba Tongyi Wan · Research Intern2025-05–2025-12 Kuaishou Kling · Research Intern2026-03–2026-07 共同导师 Yike Guo、Wenhan Luo
LIU, YulongPhD, CSE导师：Yike GUO	—
LU, YiwenPhD, IIP导师：Yike GUO	—
SIMA, QiePhD, IIP导师：Yike GUO	—
WANG, ZhiqiangPhD, IIP导师：Yike GUO	—	共同指导
XU, YuchengPhD, CSE导师：Yike GUO	—
ZHU, ChuanboPhD, IIP导师：Yike GUO	—
ZHU, HanPhD, IIP导师：Yike GUO	—	共同指导
LI, MengfeiPhD, IIP导师：Yike GUO	—
TIAN, ZeyuePhD, IIP导师：Yike GUO	—
YUAN, RuibinPhD, IIP导师：Yike GUO	—
ZHOU, ZiyaPhD, IIP导师：Yike GUO	—
PENG, SiyuMPhil, IIP导师：Yike GUO	—	共同指导
CHEN, Jianyi校友 · PhD, IIP · 2026导师：Yike GUO	2026 HKUST PhD, IIP	共同指导
CHI, Xiaowei校友 · PhD, IIP · 2026导师：Yike GUO	2026 HKUST PhD, IIP
LI, Lujun校友 · PhD, IIP · 2026导师：Yike GUO	2026 HKUST PhD, IIP
LI, Peng校友 · PhD, IIP · 2026导师：Yike GUO	2026 HKUST PhD, IIP
QI, Xingqun校友 · PhD, IIP · 2026导师：Yike GUO Google Scholar	Beijing University of Posts and Telecommunications / Queen Mary University of London Bachelor, joint program 2022 Beijing University of Posts and Telecommunications Master 2026 HKUST PhD, IIP	三维人体运动建模、医学图像分析与生物特征识别导师 Yike Guo；共同导师 Qifeng Liu
YE, Zhen校友 · PhD, IIP · 2026导师：Yike GUO	2026 HKUST PhD, IIP	共同指导
ZENG, Min校友 · PhD, ECE · 2025导师：Yike GUO	2025 HKUST PhD, ECE
WEN, Pengcheng校友 · MPhil, IIP · 2026导师：Yike GUO	2026 HKUST MPhil, IIP	共同指导
LU ChangshengPostdoc · 2025 - present导师：Jiaya JIA	—
WANG YiboPhD, CSE · 2026 - present导师：Jiaya JIA	—
YAO HuanjinPhD, CSE · 2026 - present导师：Jiaya JIA	—
ZHOU YiduanPhD, CSE · 2026 - present导师：Jiaya JIA	—
GONG YiPhD, CSE · 2026 - present导师：Jiaya JIA	—
SUN BentengPhD, CSE · 2026 - present导师：Jiaya JIA	—
WANG JianPhD, CSE · 2026 - present导师：Jiaya JIA	—
PENG ShangpinPhD, CSE · 2026 - present导师：Jiaya JIA	—
ZHAO XiaoruiPhD, CSE · 2026 - present导师：Jiaya JIA	—
TUO KaiwenPhD, CSE · 2026 - present导师：Jiaya JIA	—
ZHENG ShenghePhD, CSE · 2026 - present导师：Jiaya JIA	—
HUANG JiehuiPhD, CSE · 2025 - present导师：Jiaya JIA	—
ZHANG WenhuPhD, CSE · 2025 - present导师：Jiaya JIA	—
YE JinhuiPhD, CSE · 2025 - present导师：Jiaya JIA	—
CHEN YuxinPhD, CSE · 2025 - present导师：Jiaya JIA	—
ZHANG XichenPhD, CSE · 2025 - present导师：Jiaya JIA	—
WANG ZixuanPhD, CSE · 2025 - present导师：Jiaya JIA	—
CHU MengPhD, CSE · 2024 - present导师：Jiaya JIA	—
QU TianyuanPh.D. student · 2024 - present导师：Jiaya JIA	—
LIANG FengfengPhD, CSE · 2024 - present导师：Jiaya JIA	—
LIU YuqiPh.D. student · 2024 - present导师：Jiaya JIA	—
ZHU ZhengPh.D. student · 2024 - present导师：Jiaya JIA	—
YANG SenqiaoPh.D. student · 2024 - present导师：Jiaya JIA	—
GUI HaokunPhD, CSE · 2024 - present导师：Jiaya JIA	—
WU SitongPh.D. student · 2023 - present导师：Jiaya JIA	—
ZHU mingkangPh.D. student · 2023 - present导师：Jiaya JIA	—
XIA BinPh.D. student · 2023 - present导师：Jiaya JIA	—
YU ShaozuoPh.D. student · 2022 - present导师：Jiaya JIA	—
LU Fanbin校友 · Ph.D. · 2021 - 2026导师：Jiaya JIA	—	Research Scientist @ Tencent
LI Jingyao校友 · Ph.D. · 2022 - 2026导师：Jiaya JIA	—	Research Scientist @ Baidu
WANG Chengyao校友 · Ph.D. · 2022 - 2026导师：Jiaya JIA	—	Research Scientist @ Tencent
PENG Bohao校友 · Ph.D. · 2022 - 2026导师：Jiaya JIA	—	Research Scientist @ Huawei
LIU Shaoteng校友 · Ph.D. · 2021 - 2025导师：Jiaya JIA	—	Research Scientist @ Adobe Research
ZHANG Yuechen校友 · Ph.D. · 2021 - 2025导师：Jiaya JIA	—	Research Scientist @ Xiaomi MIMO
LI Yanwei校友 · Ph.D. · 2020 - 2024导师：Jiaya JIA	—	Assistant Professor @ SJTU
ZHONG Zhisheng校友 · Ph.D. · 2021 - 2025导师：Jiaya JIA	—	Researcher @ Tencent
CHEN Yixin校友 · Ph.D. · 2020 - 2024导师：Jiaya JIA	—	Researcher
LAI Xin校友 · Ph.D. · 2020 - 2024导师：Jiaya JIA	—	Researcher at ByteDance
CHEN Yukang校友 · Ph.D. · 2020 - 2024导师：Jiaya JIA	—	Researcher at NVidia
CHU Ruihang校友 · Ph.D. · 2020 - 2024导师：Jiaya JIA	—	Researcher at Alibaba
QIAN Shengju校友 · Ph.D. · 2019 - 2023导师：Jiaya JIA	—	Researcher at Tencent
YANG Zetong校友 · Ph.D. · 2019 - 2023导师：Jiaya JIA	—	Researcher at PJLab
HU Tao校友 · Ph.D. · 2019 - 2023导师：Jiaya JIA	—	Researcher at ByteDance
LI Wenbo校友 · Ph.D. · 2019 - 2023导师：Jiaya JIA	—	Researcher at Huawei
LU Liying校友 · MPhil. · 2019 - 2023导师：Jiaya JIA	—	Ph.D. at EPFL
CHEN Yilun校友 · Ph.D. · 2018 - 2022导师：Jiaya JIA	—	Researcher at Shanghai AI Laboratory
CUI Jiequan校友 · Ph.D. · 2018 - 2022导师：Jiaya JIA	—	Professor at Hefei University of Technology
TIAN Zhuotao校友 · Ph.D. · 2018 - 2022导师：Jiaya JIA	—	Assistant Professor at HIT
XU Xiaogang校友 · Ph.D. · 2018 - 2022导师：Jiaya JIA	—	Assistant Professor at Zhejiang University
CHEN Pengguang校友 · Ph.D. · 2018 - 2022导师：Jiaya JIA	—	Research Leader at SmartMore
QI Lu校友 · Ph.D. · 2017 - 2021导师：Jiaya JIA	—	Professor at Wuhan University
WU Ruizheng校友 · Ph.D. · 2017 - 2021导师：Jiaya JIA	—	Research Leader at SmartMore
JIANG Li校友 · Ph.D. · 2017 - 2021导师：Jiaya JIA	—	Assistant Professor at CUHK (Shenzhen
LIN Huaijia校友 · Ph.D. · 2017 - 2021导师：Jiaya JIA	—	Researcher at ZOOM
WANG Yi校友 · Ph.D. · 2017 - 2021导师：Jiaya JIA	—	Researcher at Shanghai AI Laboratory
WANG Ruixing校友 · Ph.D. · 2016 - 2021导师：Jiaya JIA	—	Leader at DJI
CHEN Yingcong校友 · Ph.D. · 2016 - 2020导师：Jiaya JIA	—	Assistant Professor at HKUST (Guangzhou
GAO Hongyun校友 · MPhil. · 2015 - 2019导师：Jiaya JIA	—	PhD student at University of Cambridge
ZHAO Hengshuang校友 · Ph.D. · 2015 - 2019导师：Jiaya JIA	—	Assistant Professor at HKU
QI Xiaojuan校友 · Ph.D. · 2014 - 2018导师：Jiaya JIA	—	Associate Professor at HKU
ZHANG Hong校友 · MPhil. · 2015 - 2018导师：Jiaya JIA	—	Researcher at Baidu
ZHOU Chao校友 · MPhil. · 2014 - 2018导师：Jiaya JIA	—	Co-founder of SmartMore
LI Ruiyu校友 · Ph.D. · 2014 - 2018导师：Jiaya JIA	—	Co-founder of SmartMore
LIU Shu校友 · Ph.D. · 2014 - 2018导师：Jiaya JIA	—	Co-founder of SmartMore
TAO Xin校友 · Ph.D. · 2013 - 2018导师：Jiaya JIA	—	Researcher at Kuaishou
LIN Di校友 · Ph.D. · 2012 - 2016导师：Jiaya JIA	—	Associate Professor at Tianjin University
SHEN Xiaoyong校友 · Ph.D. · 2013 - 2016导师：Jiaya JIA	—	Co-founder of SmartMore
LIAO Renjie校友 · M.Phil. · 2013 - 2015导师：Jiaya JIA	—	Assistant Professor at UBC
SHI Jianping校友 · Ph.D. · 2011 - 2015导师：Jiaya JIA	—	Research Director at SenseTime
YAN Qiong校友 · Ph.D. · 2008 - 2013导师：Jiaya JIA	—	Scientist at SenseTime
LU Cewu校友 · Ph.D. · 2008 - 2013导师：Jiaya JIA	—	Shanghai Jiao Tong University Distinguished Professor, Changjiang Scholar Distinguished Professor of the Ministry of Education China
XU Li校友 · Ph.D. · 2007 - 2010导师：Jiaya JIA	—	Chairman and CEO at SenseTime Group Ltd
ZHANG Qi校友 · M.Phil. · 2012 - 2014导师：Jiaya JIA	—	Sr. Director, Product & Innovation at NEX Team Inc
ZHENG Shicheng校友 · M.Phil. · 2011 - 2013导师：Jiaya JIA	—	Quantitative Researcher at Citadel Securities
WANG Liwei校友 · M.Phil. · 2011 - 2013导师：Jiaya JIA	—	Assistant Professor at CUHK
WU Tai-Pang校友 · Postdoc · 2010导师：Jiaya JIA	—	CTO at Jiuling
XIA Yang校友 · Master · 2011 - 2013导师：Jiaya JIA	—	Tech Lead Manager, Staff Software Engineer at Google
DAI Zhenlong校友 · M.Phil. · 2009 - 2012导师：Jiaya JIA	—	Portfolio Manager at WorldQuant
QIN Zenglu校友 · M.Phil. · 2008 - 2012导师：Jiaya JIA	—
XU Yi校友 · M.Phil. · 2009 - 2011导师：Jiaya JIA	—
HUNG Chun Ho校友 · M.Phil. · 2009 - 2011导师：Jiaya JIA	—	Software Engineer at Quora
LIU Renting校友 · M.Phil. · 2006 - 2008导师：Jiaya JIA	—
CHEN Jianing校友 · M.Phil. · 2007 - 2009导师：Jiaya JIA	—
CHUNG Hin Shun校友 · M.Phil. · 2007 - 2009导师：Jiaya JIA	—
FENG Wei校友 · Postdoc · 2008导师：Jiaya JIA	—	Professor at Tianjin University
XU Leilei校友 · M.Phil. · 2005 - 2007导师：Jiaya JIA	—
XIONG Wei校友 · M.Phil. · 2005 - 2007导师：Jiaya JIA	—	Partner, GenAI Infrastructure & Solutions, Microsoft CoreAI
TAO Chenjun校友 · M.Phil. · 2005 - 2008导师：Jiaya JIA	—
SHAN Qi校友 · M.Phil. · 2006 - 2008导师：Jiaya JIA	—
LUO, HaotianPhD, CSE导师：Jiaya JIA	—
ZHANG, YuweiPhD, CSE导师：Jiaya JIA	—
Jiayu AnPhD导师：Bo LICSE	—
Zichen TangPhD导师：Bo LICSE	—
Chaokun ChangPhD导师：Bo LICSE	—	共同指导；
Zheng ChenPhD导师：Bo LICSE	—
Tong LiPhD导师：Bo LICSE	—
Ruizhe ShaoPhD导师：Bo LICSE	—
Boran SunPhD导师：Bo LICSE	—
Jieling YuPhD导师：Bo LICSE	—
Yuanyuan HuangMPhil导师：Bo LICSE	—
Hanzhi YouMPhil导师：Bo LICSE	—
Yixin YangMPhil导师：Bo LICSE	—
Yue Deng校友 · PhD · 2026导师：Bo LICSE	—
Peng Ye校友 · PhD · 2026导师：Bo LICSE	—
Changyang He校友 · PhD · 2024导师：Bo LICSE	—
Lin Zhang校友 · PhD · 2023导师：Bo LICSE	—
Tianyi Zhang校友 · MPhil · 2026导师：Bo LICSE	—
Zihan Li校友 · MPhil · 2024导师：Bo LICSE	—	共同指导；
YUAN LinpingResearch Assistant Professor · Sep. 2024 - now导师：Huamin QU 简历 · GitHub · Google Scholar GitHub 关注 44 Stars 31	2019 Xi’an Jiaotong University Bachelor, Software Engineering Hong Kong University of Science and Technology Sep. 2024 - now PhD 2024 HKUST PhD, CSE Xi'an Jiaotong University Desktop to Virtual Reality	VR/AR、人机交互、数据可视化与空间计算
Kam Kwai WONGPostdoc · since Mar. 2026 - now导师：Huamin QU ORCID · OpenAlex OpenAlex 近三年 23 引用 450 h-index 12	HKUST Bachelor, CSE HKUST PhD 2026 HKUST PhD, CSE HKUST	可视分析、沉浸式交互、人机协作与集体决策
Kento ShigyoPostdoc · Oct. 2025 - now导师：Huamin QU	Hong Kong University of Science and Technology PhD 2025 HKUST PhD, IIP Kobe University UG
MA ZhengyangPhD, Individualized Interdisciplinary Program (Computational Media and Arts) · since Aug. 2020导师：Huamin QU	Birmingham University/China Academy of Arts
CHEN ZixinPhD, CSE · since Aug. 2022导师：Huamin QU GitHub GitHub 关注 17 Stars 18	HKUST
Zhonghua ShengPhD, IIP · since Aug. 2023导师：Huamin QU GitHub GitHub 关注 0 Stars 0	2012 HKUST MPhil, CSE	Guangzhou Zaidao Information Technology Co., Ltd. · Co-founder
Yihao MENGPhD, CSE · 2023–导师：Huamin QU GitHub · Google Scholar GitHub 关注 68 Stars 711	2019–2023 Xi’an Jiaotong University BS, Artificial Intelligence, Qian Xuesen College Honors Class 2023– HKUST PhD, CSE	视频生成与世界模型 Ant Research, LingBot · Research Scientist Intern2024-06–2026-04 ByteDance Seed · Research Scientist Intern2026-08– NVIDIA Spatial Intelligence Lab · Research Scientist Intern2026-05–2026-08
FANSEU KAMHOUA, BarakeelPhD, CSE · 2023-08–导师：Huamin QU GitHub · DBLP · LinkedIn DBLP 近三年 1 GitHub 关注 3 Stars 0	HKUST MSc, Industrial Engineering 2023-08– HKUST PhD, CSE Nelson Mandela University BTech, Industrial Engineering	数据可视化、模式发现与实时图像处理 Meridian Innovation, HKSTP · Software Engineer, R&D
SHI YuzhePhD, CSE · since Jan. 2024导师：Huamin QU	—	人机混合智能系统、认知模型、群体交流与领域专用语言
HE YujiaPhD, CSE · 2024-02–导师：Huamin QU GitHub GitHub 关注 3 Stars 0	2021 Shanghai Jiao Tong University BS, Electronic and Computer Engineering 2021 University of Michigan, Ann Arbor BS, Computer Science	体育计算与攀岩训练、表现辅助系统
XU ShuchangPhD, CSE · since Aug. 2024导师：Huamin QU GitHub GitHub 关注 13 Stars 24	Tsinghua University BA/Mphil Tsinghua University Bachelor Tsinghua University Master MIT Media Lab Visiting PhD	感知、记忆、行为层面的 AI 辅助认知与无障碍系统
ZHANG WenshuoPhD, CSE · since Aug. 2024导师：Huamin QU LinkedIn · GitHub · Google Scholar GitHub 关注 10 Stars 18	2024 Xi’an Jiaotong University BS, Automation 2024 Xi’an Jiaotong University Bachelor, Accounting, ACCA Track Xi'an Jiaotong University University of Hong Kong Exchange, Electrical and Electronic Engineering	多轮对话与智能体中的人机对齐、用户行为建模及数据增强
Runhua ZHANGPhD, IIP · 2024–导师：Huamin QU Google Scholar · X · LinkedIn	2017–2021 Sichuan University BEng, Industrial Design 2021–2024 Tongji University MA, Design 2024– HKUST PhD, IIP Sichuan University and Tongji University 2022–2023 Aalto University Exchange, Arts, Design and Architecture	人机交互、个人反思、游戏化学习与女性主义 HCI co-supervised with Prof. Xiaojuan Ma, from Sichuan University and Tongji University, since Aug. 2024；共同指导
MA HanluPhD, IIP · 2024-09–导师：Huamin QU LinkedIn · GitHub GitHub 关注 0 Stars 0	2019-12–2020-04 Northeastern University Exchange Student 2020 Tsinghua University BFA, Visual Communication 2022 Politecnico di Milano MSc，双学位 2023 Tsinghua University MFA, Information Art and Design	数据可视化、数据叙事、数据驱动艺术、人机交互 Alibaba Cloud · Designer2023-07 起 2x4 Beijing · Designer
TANG YuyingPhD, IIP · 2024–导师：Huamin QU GitHub GitHub 关注 2 Stars 0	Central Academy of Fine Arts and Tsinghua University 2017–2021 Central Academy of Fine Arts BFA, Film and Television Photography and Production 2021–2024 Tsinghua University MFA, Visual and Information Design 2022–2023 Politecnico di Milano MSc, Communication Design, dual degree 2024– HKUST PhD, IIP 2026–2027 Imperial College London Visiting PhD 2026–2027 University of the Arts London Visiting PhD	创造力、故事表达与人机协作
CHEN BaoyangPhD, IIP · since Aug. 2024导师：Huamin QU	CAFA/Columbia
LI, Chun YinPhD, CSE · since Aug. 2025导师：Huamin QU	Zhejiang University
YU YuePhD, IIP · since Aug. 2025导师：Huamin QU	HKUST BSc, Social Science and Computer Science 2025 HKUST MPhil, CSE 2025 HKUST MPhil, Computer Science HKUST	社会流动与不平等的计算研究、图像视频创作的人机协作 co-supervised with Cameron Campbell, HKPF, since Aug. 2025
WANG JinduPhD, CSE · since Aug. 2024导师：Huamin QU Google Scholar · X · GitHub GitHub 关注 1 Stars 0	Xi’an Jiaotong University BS, Software Engineering Xi'an Jiaotong University	可穿戴计算、认知科学、情境感知及 AR/VR 多模态交互
XUE HaiweiPhD, IIP · since Aug. 2026导师：Huamin QU	Tsinghua University Mphil Tsinghua University Master, Electronic Information	多模态理解与生成、视频推理、语音驱动数字人、交互设计与生成安全 Tencent · Algorithm Intern硕士阶段 Microsoft Research Asia · Algorithm Intern硕士阶段 Huawei · Algorithm Intern硕士阶段 01.AI · Algorithm Intern硕士阶段 Ant Group · Algorithm Intern硕士阶段
ZHOU JiayiMPhil, IIP · since Aug. 2024导师：Huamin QU Google Scholar · LinkedIn · GitHub GitHub 关注 7 Stars 0	Zhejiang University	生成式 AI 与计算机视觉辅助的非线性视觉叙事、数据可视化与 HCI
LIANG, DanxuanMPhil, CSE · since Aug. 2025导师：Huamin QU	HKUST
WONG, Hiu TungMPhil, CSE · since Aug. 2025导师：Huamin QU	—
XU, BiyingMPhil, CSE · since Aug. 2025导师：Huamin QU	—
YANG, DongjieMPhil, CSE · since Aug. 2025导师：Huamin QU	—
YE, YilinMPhil, CSE · since Aug. 2025导师：Huamin QU	—
ZHANG, XinyuMPhil, CSE · since Aug. 2026导师：Huamin QU	—
LUO, YichaoMPhil, CSE · since Aug. 2026导师：Huamin QU	VisLab Alumni
SHENG Rui校友 · PhD, CSE · 2021–2026导师：Huamin QU Google Scholar · GitHub GitHub 关注 13 Stars 3	2021 Wuhan University BS 2026 HKUST PhD, CSE Wuhan University	生物医学发现、医疗健康中的以人为本 AI 与可视分析 Incoming Postdoctoral Researcher, Northeastern University Human-Centered AI Lab，Dakuo Wang 团队
Yihan Hou校友 · PhD in CMA of HKUST (GZ · Aug. 2022 - Aug. 2026导师：Huamin QU	—	co-supervsied with Wei Zeng, Aug. 2022 - Aug. 2026
TAKAHIRA Kentaro校友 · PhD, CSE · 2022–2026导师：Huamin QU	2026 HKUST PhD, CSE Kyoto University
Leixian, SHEN校友 · PhD, CSE · 2023–2026导师：Huamin QU GitHub GitHub 关注 2 Stars 6	2026 HKUST PhD, CSE	Microsoft Research Asia
LI Haobo校友 · PhD, CSE · 2022–2026导师：Huamin QU ORCID · Google Scholar · GitHub · OpenAlex GitHub 关注 5 Stars 16	South China University of Technology BS Shanghai Jiao Tong University MS 2026 HKUST PhD, CSE Sun Yat-Sen University/Shanghai Jiaotong University	数据可视化、气候多模态对齐与数字孪生 Intel · Industry experience两年以上，博士入学前 Shanghai AI Lab
WEI Zheng校友 · PhD, IIP · 2024–2026导师：Huamin QU	2026 HKUST PhD, IIP Beijing Film Academy	KAIST as postdoc
XIE Liwenhan校友 · PhD, CSE · 2020–2026导师：Huamin QU Google Scholar · Semantic Scholar · ORCID · LinkedIn · X · GitHub · OpenAlex OpenAlex 近三年 8 引用 242 h-index 7 GitHub 关注 55 Stars 394	Peking University BSc 2026 HKUST PhD, CSE 2026 HKUST PhD Peking University	人机交互、表达技术与创意支持工具 Research Fellow, NUS School of Computing, Palette Lab（2026-07 起）
Ziwei Wu校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2020–2025导师：Huamin QU	2025 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts)	University of Macao as tenure-track assistant professor co-supervised with Prof. Kang Zhang, Aug. 2020 - Aug. 2025, joined University of Macao as tenure-track assistant professor.；共同指导
Kento Shigyo校友 · PhD · Aug. 2020 - 2025导师：Huamin QU	Kobe University
CAO Yifan校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2020–2025导师：Huamin QU	Zhejiang University Bachelor, Chinese Literature and Linguistics, CKC Honors College CUHK MA, Global Communication 2025 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts) 2025 HKUST PhD, IIP (Computational Media and Arts) Zhejiang University	HCI、社会计算、数字人文与区块链数据可视分析 Tencent · Journalist / Editor读博前 Jazzyear · Journalist / Editor读博前 co-supervised with Prof. Yang Wang, Aug. 2020 - Aug. 2025
JIN Xiaofu校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2022–2025导师：Huamin QU	2025 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts) Beijing University of Posts and Telecommunications(BUPT	Cognitive Bridges to Digital Inclusion: A Gerontological Framework for Autonomous Technology Learning in Late Adulthood Co-supervised with Prof. FAN mingming, from Beijing University of Posts and Telecommunications(BUPT；共同指导
HE Jianben校友 · PhD, CSE · 2020–2024导师：Huamin QU	2024 HKUST PhD, CSE Huazhong University of Science and Technology	Interactive Visual Analytics for Multimodal Video Data Exploration and Model Steering Co-supervised with Prof. ZHANG Qian, from Huazhong University of Science and Technology, Aug. 2020- Dec. 2024
LIN Yanna校友 · PhD, CSE · 2020–2024导师：Huamin QU GitHub GitHub 关注 12 Stars 0	Sun Yat-sen University Bachelor, Software Engineering Hong Kong University of Science and Technology PhD 2024 HKUST PhD, CSE Sun Yat-Sen University	多模态意图表达、AI 推理解释与调试、数据决策 Postdoctoral Researcher, University of Waterloo，Jian Zhao 的 WVisdom Lab
JIN Zhihua校友 · PhD, CSE · 2019–2024导师：Huamin QU	2024 HKUST PhD, CSE Chu Kochen Honors College	Visual Analytics for Data-Centric Machine Learning
LO Yu Ho校友 · PhD, CSE · 2020–2024导师：Huamin QU Google Scholar	Chinese University of Hong Kong BSc, Computer Science HKUST MPhil, Computer Science 2024 HKUST PhD, CSE	误导性可视化的识别、自动检测与预防 Software Engineer博士入学前，数年
FUNG Ka Yan校友 · PhD, IIP · 2021–2024导师：Huamin QU	Hong Kong Polytechnic University BA, Retail and Service Management HKUST MPhil, Technology, Leadership and Entrepreneurship University of Duisburg-Essen MPhil, Contemporary East Asian Studies 2024 HKUST PhD, IIP Hong Kong University of Science and Technology	包容教育、情绪支持机器人与教育技术 Gabi Education Limited · Founder co-supervised with Prof. Shenghui Song, from Hong Kong University of Science and Technology, Aug. 2021 - Aug. 2024；共同指导
LI Haotian校友 · PhD, CSE · 2020–2024导师：Huamin QU	2024 HKUST PhD, CSE Hong Kong University of Science and Technology	Bridging Data Analysis and Storytelling with Human-AI Collaborative Tools MSRA
Wenchao Li校友 · PhD, CSE · 2017–2023导师：Huamin QU	2023 HKUST PhD, CSE Sichuan University and CAS	Interactive Visualization Systems For Narrative-driven Data Exploration And Communication Huawei Cloud
Xian Xu校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2020–2023导师：Huamin QU GitHub · Google Scholar GitHub 关注 8 Stars 1	2023 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts) Hong Kong University of Science and Technology PhD Central Academy of Drama	Cinematic Storytelling in Data-driven Videos: Guidelines and Design Space Tenure-track Assistant Professor, Lingnan University, Department of Digital Arts and Creative Industries；Associate, Cambridge Digital Humanities co-supervised with David Yip, from Central Academy of Drama, 2020 - 2023, joined EMIA, HKUST as research assistant professor；共同指导
Wai Tong校友 · PhD, CSE · 2018–2023导师：Huamin QU 简历 · GitHub · X · LinkedIn GitHub 关注 29 Stars 14	2023 HKUST PhD, CSE	AR/VR/MR、沉浸式可视化与人机交互 Assistant Professor, Texas A&M University；VVAI Lab 负责人 co-supervised with Prof. T.C. Pong, 2018-2023, now tenure-track assistant professor at Texas A&M University
Zezheng Feng校友 · PhD, CSE · 2019–2023导师：Huamin QU GitHub GitHub 关注 1 Stars 0	2013–2017 Northeastern University, China BEng, Software Engineering 2017–2018 Loughborough University MSc, Computer Science 2019–2023 HKUST PhD, CSE 2023 HKUST PhD, CSE	大数据分析、可视化、可解释机器学习与城市计算 Associate Professor, Software College, Northeastern University, China co-supervise with Prof. Shuang-hua Yang, 2019-2023. Now associate professor at Northeastern University China
Zhenhua Xu校友 · PhD, CSE · 2018–2023导师：Huamin QU	2023 HKUST PhD, CSE Harbin Institute of Technology	Automatic Generation of Vector Maps by Imitation Learning for Autonomous Driving HKU as postdoc co-supervised with Prof. Ming Liu, Aug. 2018 - Jan. 2023, joined HKU as postdoc
Furui Cheng校友 · PhD student · 2018- 2022导师：Huamin QU	Beihang University	Interactive Visual Analytics for Human-Centered AI ETH as postdoc
Xingbo Wang校友 · PhD student · Aug. 2018 - Aug. 2022导师：Huamin QU	Wuhan University	Interactive Visual Analytics For Understanding And Facilitating Human Communication Cornell Unversity as postdoc
Leni Yang校友 · PhD student · Aug. 2018 - Aug. 2022导师：Huamin QU	University of Electronic Science and Technology of China	Guidance On Data Storytelling: Making Data Stories Understandable And Compelling For The General Public
WU Aoyu校友 · PhD · Aug. 2019 - Aug. 2022导师：Huamin QU	HKUST	Efficient Creation and Analysis of Visualizations for Data Communication PhD program
Yifang Wang校友 · PhD student · Aug. 2018 - Aug. 2022导师：Huamin QU	Zhejiang University	Interactive Visual Analytics for Career Mobility Northwestern University USA as postdoc, to join Florida State University as a tenure-track assistant professor in the Department of Computer Science in August 2025
Dong Sun校友 · PhD student · Aug. 2017-Aug. 2021导师：Huamin QU GitHub GitHub 关注 5 Stars 0	2017 Zhejiang University Bachelor, Computer Science and Technology Zhejiang University	数据可视化、可解释机器学习、AutoML 与 HCI co-supervised with Prof. T.C. Pong, Aug. 2017-Aug. 2021
Xinhuan Shu校友 · PhD student · Aug. 2017-Aug. 2021导师：Huamin QU GitHub GitHub 关注 12 Stars 1	HKUST PhD Zhejiang University	Enhancing Data-driven Storytelling with Animated Visualization the University of Edinburgh as postdoc. joined Newcastle University as lecturer
Meng Xia校友 · PhD student · Aug. 2017 - Aug. 2020导师：Huamin QU	2020 HKUST PhD Hangzhou Dianzi University and Zhejiang University	人机协作、个性化教育、可视化与学习技术 Assistant Professor, CSE, Texas A&M University；Dream Lab 负责人 co-supervised with Prof. Xiaojuan Ma, Aug. 2017 - Aug. 2020, joined KASIT/CMU as postdoc. joined the Department of Computer Science and Engineering at Texas A&M University as a tenure-track assistant professor
Haipeng Zeng校友 · PhD Student · Aug. 2015 - Aug. 2020导师：Huamin QU Google Scholar	Sun Yat-sen University BS, Mathematics HKUST PhD, CSE Sun Yat-sen University	可视分析、智能交通、多模态人类交流、可解释 AI 与城市计算 Associate Professor, School of Intelligent Systems Engineering, Sun Yat-sen University
Qianwen Wang校友 · PhD student in ECE · Jun. 2016 - Dec. 2019导师：Huamin QU	Xi'an Jiaotong University	Harvard University as postdoc. joined the CSE department at the University of Minnesota, Twin Cities (UMN) as a tenure-track Assistant Professor
Yao Ming校友 · PhD student · Aug. 2016 - Dec. 2019导师：Huamin QU	Tsinghua University	Visualization For Explainable Machine Learning Bloomberg AI Group at New York City as research scientist
Qiaomu Shen校友 · PhD student · Feb. 2016 - Dec. 2019导师：Huamin QU	Sichuan University	Towards Better Perception of Urban Information: A Visualization Perspective
Zhutian Chen校友 · PhD Student · Aug. 2015 - Dec. 2019导师：Huamin QU DBLP · ORCID · OpenAlex DBLP 近三年 29 OpenAlex 近三年 22 引用 1,400 h-index 23	South China University of Technology	Towards Futuristic Visual StoryTelling: Authoring Data-Driven Infographics in Augmented Reality UC San Diego/Harvard as postdoc. Joined the CSE department at the University of Minnesota, Twin Cities (UMN) as a tenure-track Assistant Professor
Xuanwu Yue校友 · PhD student · Aug. 2016 - Dec. 2019导师：Huamin QU	Shandong University	Financial Intelligence and Strategy Extraction via Visual Analysis Approaches Sinovation Ventures AI institute at Nanjing
Mingqian Zhao校友 · PhD student in BIEN · Sep. 2015 - Dec. 2019导师：Huamin QU	Chu Kochen Honors College
Ke Xu校友 · PhD student in ECE · Aug. 2019导师：Huamin QU Google Scholar · GitHub GitHub 关注 1 Stars 1	Nanjing University	Interactive Visual Anomaly detection and Its Applications tenure-track associate professor at Nanjing University
Dongyu Liu校友 · PhD Student · Aug. 2019导师：Huamin QU Google Scholar · X · LinkedIn	Chu Kochen Honors College	Combining Automated Analysis with Interactive Visualizations for Spatio-temporal Data Analysis MIT as postdoc. Now tenure-track assistant professor at the CS Department at UC Davis
Quan Li校友 · PhD Student · Dec. 2018导师：Huamin QU GitHub GitHub 关注 2 Stars 0	Wuhan University/Tsinghua University	Interactive Visual Analytics on Representation and Dynamics of Online Game Community WeBank, Now Assistant Professor at ShanghaiTech University
Xun Zhao校友 · PhD student · Dec. 2018导师：Huamin QU	Huazhong University of Science and Technology	Visual Explanation of Black Box Algorithms Research Scientist at Shanghai AI Laboratory co-supervised with Prof. Dik-Lun Lee, defended at Dec. 2018, now Research Scientist at Shanghai AI Laboratory
Yuanzhe Chen校友 · PhD Student · Oct. 2018导师：Huamin QU	Shanghai Jiaotong University	Visual Analytics of Temporal Event Data
Qing Chen校友 · PhD Student · Aug. 2018导师：Huamin QU	Zhejiang University Massive Open Online Courses	Visual Analytics and Storytelling of Data from Massive Open Online Courses INRIA as postdoc, now associate professor at Tongji University
Yun Wang校友 · PhD Student · Jul. 2018导师：Huamin QU	Fu Dan University	Generating and Authoring Narrative Visualization for Data Insight Communication co-supervised with Qiong Luo, graduated at Jul. 2018, senior researcher at MSRA
Yong Wang校友 · PhD Student · Jul. 2018导师：Huamin QU	HIT and Huazhong University of Technology	Towards Better Perception of Graph Visualization postdoc at HKUST, now assistant professor at Nanyang Technological University. Previously at Singapore Management University
Siwei Fu校友 · PhD Student · Jun. 2018导师：Huamin QU 简历 · Google Scholar	Sun Yat-sen University	Visual Analytics of Online Communication assistant professor at Zhejiang University, previously at Zhejiang Lab
Yanhong Wu校友 · PhD Student · Aug. 2017导师：Huamin QU 简历 · LinkedIn · X	—	On the Scalability of Large Graph Visualization IBM Watson, USA
Wenchao Wu校友 · PhD Student · Aug. 2016导师：Huamin QU	Shanghai Jiaotong University	Visual Analytics of Urban Dynamics Based on Human Mobility Data researcher at Siemens Corporate Technology) (co-supervised with Prof. Lionel Ni co-supervised with Prof. Lionel Ni
Yixian Zheng校友 · PhD Student · Aug. 2016导师：Huamin QU	Shanghai Jiaotong University	Visual Analytics of Bi-Directional and Cluster Movements researcher at China Electronics Technology Group ) (co-supervised with Prof. Lionel Ni co-supervised with Prof. Lionel Ni
Panpan Xu校友 · PhD · Dec. 2014导师：Huamin QU GitHub · X · Google Scholar GitHub 关注 81 Stars 31	Chu Kochen Honors College	Visual Analysis of Heterogenous and dynamic graphs Amazon, previously at Bosch Research, USA
Conglei Shi校友 · PhD · Aug. 2014导师：Huamin QU	Shanghai Jiaotong University Web Log Data	Visual Analysis of User Behavior From Web Log Data IBM T. J. Watson, USA
Jiansu Pu校友 · PhD · Aug. 2013导师：Huamin QU	Beihang University	Visual Summarization and Analysis of Spatio-Temporal Data professor at University of Electronic Science and Technology of China co-supervised with Lionel Ni, graduated at Aug. 2013, from Beihang University, now professor at University of Electronic Science and Technology of China.
Nan CAO校友 · PhD · Aug. 2012导师：Huamin QU Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 66 OpenAlex 近三年 56 引用 5,502 h-index 43	Northwestern Polytechnic University	Visual Analysis of Relational Patterns in Multidimensional Data professor at Tongji University, previously faculty at New York University Shanghai and research scientist at IBM T. J. Watson Research Center, USA. Awardee of China's 1000 Talented Youth Program
Weiwei CUI校友 · PhD · Aug. 2011导师：Huamin QU	Tsinghua University	Visual Summarization and Exploration of Text Streams lead researcher at Microsoft Research Asia
Yingcai WU校友 · PhD · Dec. 2009导师：Huamin QU DBLP · ORCID DBLP 近三年 109	South China University of Technology	Interactive Editing and Automatic Evaluation of Direct Volume Rendered Images professor at Zhejiang University, previously at Microsoft Research Asia. Awardee of China's 1000 Talented Youth Program
Hong ZHOU校友 · PhD · Summer 2009导师：Huamin QU	Zhejiang University	Visual Clustering in Parallel Coordinates and Graphs faculty at Shenzhen University
Ming-Yuen CHAN校友 · PhD · Summer 2009导师：Huamin QU	University of Hong Kong	Quality Enhancement and Relation-Aware Exploration pipeline for Volume Visualization Master of Philosophy (Mphil) Students (34): Office of the Government Chief Information Officer (OGCIO) of HKSAR
LUO Yan校友 · MPhil, CSE · 2024–2026导师：Huamin QU GitHub · ORCID · OpenAlex OpenAlex 近三年 7 引用 17 h-index 3 GitHub 关注 4 Stars 3	2026 HKUST MPhil, CSE Huazhong University of Science and Technology
Chen Chang校友 · MPhil, CSE · 2024–2025导师：Huamin QU	2025 HKUST MPhil, CSE Shanghai Jiaotong University
LI Yanjia校友 · Mphil in CSE · Aug. 2023 - Aug. 2025导师：Huamin QU	—	PhD program of IEDA of HKUST, HKPFS co-supervised with Jia Liu, Aug. 2023 - Aug. 2025, joined PhD program of IEDA of HKUST, HKPFS
Renfei Huang校友 · Mphil student · Aug. 2018导师：Huamin QU	Chu Kochen Honors College
KIM, Seonggyeom校友 · Mphil · 2022导师：Huamin QU	City University of Hong Kong
Ayush GUPTA校友 · Mphil · 2022导师：Huamin QU	HKUST
MU Yifan校友 · Mphil · 2022导师：Huamin QU	HKUST
ZHOU Yihong校友 · Mphil · since Aug. 2019导师：Huamin QU	Birmingham University
Reshika P V校友 · Mphil · since Aug. 2020导师：Huamin QU	—
JEON, Cheol Su校友 · Mphil · Aug. 2019 - Aug. 2021导师：Huamin QU	Chinese University of Hong Kong
Ku Bon Kyung校友 · Mphil · Aug. 2018-Aug. 2020导师：Huamin QU	HKUST	iFUNDit: Visual Profiling of Fund Investment Styles
Ka Wing Tsang校友 · Mphil · Aug. 2018 - Aug. 2020导师：Huamin QU	HKUST
Abishek PURI校友 · Mphil · Jul. 2019导师：Huamin QU	HKUST	Morgan Stanley
Xavier Pierre Francois PLANTAZ校友 · Mphil in TLE · Jul. 2018导师：Huamin QU	Tsinghua University
LI Zhen校友 · Mphil · Jul. 2018导师：Huamin QU	Tsinghua University	a start-up
Hammad Haleem校友 · Mphil Student · Jul. 2018导师：Huamin QU	—	Goldman Sachs Hong Kong
Chengjin Li校友 · TLE Mphil Student · Aug. 2016导师：Huamin QU	Massive Open Online Courses	A Narrative Visualization System for Peaks in Video Clickstreams from Massive Open Online Courses
Yi Yang校友 · Mphil Student · Mar. 2016导师：Huamin QU	Nanjing University	VISTopic: A Visual Analytic System to Explore Document Collections Using Hierarchical Latent Tree Models
Naveen Pitipornvivat校友 · Mphil Student · Jan. 2016导师：Huamin QU	—	Dynamic Ego-Network Visualization co-supervised with Danny Tsang, graduated at Jan. 2016
Yang Liu校友 · Mphil Student · Aug. 2012导师：Huamin QU	HKUST	Large Scale Visualization of 3D Urban Reconstruction co-supervised with Long Quan
Wenbin Wu校友 · Mphil Student · Jul. 2014导师：Huamin QU	Huazhong University of Technology	Visual Summary of Large Graphs
He LIU校友 · MPhil Student · Jul. 2011导师：Huamin QU	HKUST	Visual analysis of route diversity Microsoft Beijing
Yuan GAO校友 · Mphil Student · 2011导师：Huamin QU	HKUST	Visual analytics of taxi drivers' income and mobility intelligence Google Shanghai
Lu Lu校友 · Mphil Student · 2011导师：Huamin QU	Beihang University	Visualization of map-matching for vehicle trajectories
Haomian Wang校友 · MPhil Student · Summer 2009导师：Huamin QU	University of Science and Technology	Visualization techniques for 3D urban environments
Wai-Ho MAK校友 · MPhil Student · Spring 2009导师：Huamin QU	HKUST	Occlusion-resolving direct volume rendering
Ka-Kei CHUNG校友 · MPhil Student · Summer 2009导师：Huamin QU	HKUST	Interactive visual optimization and analysis for RFID system performance
Kai-Lun CHUNG校友 · MPhil Student · 2008导师：Huamin QU	HKUST	A comprehensive parallel coordinates system for air pollution analysis
Wing-Yi CHAN校友 · MPhil Student · 2009导师：Huamin QU	HKUST	Visualizing the semantic structure in classical music works
Ming-Yuen CHAN校友 · Mphil Student · Summer 2006导师：Huamin QU	HKUST	Transfer function design and view selection for angiographic visualization RAP, Postdocs, Visiting Scholars, Visiting Interns and Research Assistants (43) PhD program co-supervised with Albert Chung, graduated at Summer 2006, from HKUST, joined PhD program.
WU Ziwei校友 · Postdoc · Sep. 2025 - Aug. 2026导师：Huamin QU	Hong Kong University of Science and Technology PhD	University of Macao as tenure-track AP
Yuzhe Jiang校友 · PhD student · since Aug. 2018导师：Huamin QU	University of Chinese Academy of Sciences
Sicheng Song校友 · Postdoc · 2023 - Mar. 2025导师：Huamin QU GitHub GitHub 关注 2 Stars 1	East China Normal University PhD	East China Normal University (ECNU) as assitant professor
GIOVANNANGELI Loann校友 · Postdoc · Feb. 2024 - Aug. 2024导师：Huamin QU	University of Bordeaux PhD	associate professor at University of Bordeaux, France
Jiachen Wang校友 · Postdoc · Sep. 2023 - Aug. 2024导师：Huamin QU Google Scholar · DBLP · ORCID DBLP 近三年 16	Zhejiang University PhD	assistant professor at Zhejiang University
Leni Yang校友 · Postdoc · Dec. 2022 - Aug. 2024导师：Huamin QU GitHub GitHub 关注 4 Stars 0	HKUST PhD	postdoc at INRIA
Alex Zikai Wen校友 · Postdoc · since Jul. 2021 - 2023导师：Huamin QU	Cornell University PhD	assistant professor at University of Washington Tacoma School of Engineering & Technology
WEI Huan校友 · RA/PhD · Aug. 2019 - 2023导师：Huamin QU LinkedIn · Google Scholar	Beijing University of Posts and Telecommunications
Xingbo Wang校友 · Postdoc · Sep. 2022 - Jun. 2023导师：Huamin QU GitHub · LinkedIn · Google Scholar · DBLP · ORCID DBLP 近三年 33 GitHub 关注 25 Stars 55	HKUST PhD	postdoc at Cornel University
Mengling Qiao校友 · Postdoc · Jul. 2022 - Jan. 2023导师：Huamin QU	Wuhan University PhD
Meng Xia校友 · Postdoc · Oct. 2020 - Mar. 2021导师：Huamin QU	2020 HKUST PhD	人机协作、个性化教育、可视化与学习技术 Assistant Professor, CSE, Texas A&M University；Dream Lab 负责人
Zhutian Chen校友 · Postdoc · Mar. 2020 - Oct. 2020导师：Huamin QU DBLP · ORCID · OpenAlex DBLP 近三年 29 OpenAlex 近三年 22 引用 1,400 h-index 23	—	postdoc at The University California, San Diego
Rong Zhang校友 · Postdoc · Jan. 2018 - Aug. 2020导师：Huamin QU	Jan. 2018 -	lecturer at HKUST GZ
XU Min校友 · Research Assistant · Sep. 2018 - Sep. 2020导师：Huamin QU	—
LI Haotian校友 · RA · Sep. 2019-2020导师：Huamin QU	Hong Kong University of Science and Technology
Reshika P V校友 · RA · since Sep. 2019- Aug. 2020导师：Huamin QU	—
LIN Yating校友 · visiting student from Xi'an Jiaotong University · Aug. 2019 - Feb. 2020导师：Huamin QU	Xi'an Jiaotong University
Kam Kwai WONG校友 · Research Assistant · since Sep. 2019导师：Huamin QU ORCID · OpenAlex OpenAlex 近三年 23 引用 450 h-index 12	HKUST Bachelor, CSE 2026 HKUST PhD, CSE	可视分析、沉浸式交互、人机协作与集体决策
Pablo Fernandez Acin校友 · visiting student from Spain · since Aug. 2019导师：Huamin QU	Spain
HAO Jiahui校友 · visiting student from Zhejiang University · since Sep. 2019导师：Huamin QU	Zhejiang University
Ke Xu校友 · Postdoc · Sep. 2019 - Nov. 2019导师：Huamin QU	—
WANG Zian校友 · Visiting PG student from China Academy of Arts · 2019导师：Huamin QU	China Academy of Arts
Gurparkash Singh校友 · Visiting UG student from IIT Bombay · 2019导师：Huamin QU	IIT Bombay
WANG Xi校友 · Visiting PG student from China Academy of Arts · 2019导师：Huamin QU	China Academy of Arts
Kento Shigyo校友 · Visiting PG student from Kobe University · Mar. 2019导师：Huamin QU	Kobe University
JIN Zhihua校友 · Visiting Intern from Chu Kochen Honors College · since Aug. 2018导师：Huamin QU	Chu Kochen Honors College
ZHANG Liguo校友 · visiting professor · Dec. 2017 - Dec. 2018导师：Huamin QU	—
SU Yijia校友 · Research Assistant · Jan. 2017 - Dec. 2018导师：Huamin QU	—
MU Xing校友 · Research Assistant · Mar. 2017 - Dec. 2018导师：Huamin QU	—
YUAN Linping校友 · Visiting Intern from Xi'an Jiaotong University · Feb. 2018- Mar. 2018导师：Huamin QU	2019 Xi’an Jiaotong University Bachelor, Software Engineering 2024 HKUST PhD, CSE Xi'an Jiaotong University	VR/AR、人机交互、数据可视化与空间计算
Bing Ni校友 · Research Associate and Computer Officer · since Mar. 2016导师：Huamin QU	—
XIE Liwenhan校友 · Visiting Intern from Peking University · Aug. 2018导师：Huamin QU Google Scholar · Semantic Scholar · ORCID · LinkedIn · X · GitHub · OpenAlex OpenAlex 近三年 8 引用 242 h-index 7 GitHub 关注 55 Stars 394	Peking University BSc 2026 HKUST PhD Peking University	人机交互、表达技术与创意支持工具 Research Fellow, NUS School of Computing, Palette Lab（2026-07 起）
Alexander Merle Franklin校友 · Visiting UG student from Pomona College · 2018导师：Huamin QU	Pomona College
Kristanto Sean N校友 · Research Assistant · Nov. 2016导师：Huamin QU	—
Shaozu Cao校友 · PhD student · Aug. 2016 - Dec. 2017导师：Huamin QU	Xi'an Jiaotong University
Haiyan Yang校友 · Research Assistant · Mar. 2016 - Aug. 2017导师：Huamin QU	—
Janice CHUI校友 · Visiting UG student from MIT · Jul. 2016导师：Huamin QU	MIT
Shuye Sun校友 · Visiting PG student from China Academy of Arts · Nov. 2015 - Apr. 2016导师：Huamin QU	China Academy of Arts
Zhipeng Wang校友 · Visiting PG student from China Academy of Arts · Nov. 2015 - Apr. 2016导师：Huamin QU	China Academy of Arts
Kuansheng Zou校友 · Visiting Scholar from Jiangsu Normal University · Dec. 2014 - Nov. 2015导师：Huamin QU	Jiangsu Normal University
Chunyan Ma校友 · Visiting Scholar from Northwestern Polytechnical University · Dec. 2014 - Nov. 2015导师：Huamin QU	Northwestern Polytechnical University
Wang Xi校友 · Visiting Intern from Beijing University of Posts and Telecommunications · Aug. 2015 - Sep. 2015导师：Huamin QU	Beijing University of Posts and Telecommunications
Weifeng Chen校友 · Visiting Scholar from Zhejiang University of Finance and Economics · Sep. 2015 - Nov. 2015导师：Huamin QU	Zhejiang University of Finance and Economics
Yuhua Liu校友 · Visiting Intern from East China Normal University · Mar. 2015 - Aug. 2015导师：Huamin QU	East China Normal University	associate professor at Zhejiang University of Finance and Economics
Qiaomu Shen校友 · Visiting Intern and Research Assistant · since Jun. 2014导师：Huamin QU	Sichuan University
Fangzhou Guo校友 · Visiting Intern and Research Assistant from Zhejiang University · Sep. 2014导师：Huamin QU	Zhejiang University
Jiayi Xu校友 · Research Assistant · Sep. 2014 - Jul. 2015导师：Huamin QU	—	PhD of Ohio State University at 2015
Zhiguang Zhou校友 · Visiting Scholar from Zhejiang University of Finance and Economics · Jan. 2015 - Apr. 2015导师：Huamin QU	Zhejiang University of Finance and Economics
Jiayu Tang校友 · Visiting Intern from Tsinghua University · Jul. 2013 - Aug. 2013导师：Huamin QU	Tsinghua University
Guodao Sun校友 · Visiting Intern from Zhejiang University of Technology · Feb. 2013 - Jun. 2013导师：Huamin QU	Zhejiang University of Technology	professor at Zhejiang University of Technology
Fan Du校友 · Visiting Intern from Zhejiang University · Sep. 2012 - Mar. 2013导师：Huamin QU	Zhejiang University	PhD of University of Maryland at 2013
Shiguo Huang校友 · Visiting Scholar from Fujian Agriculture and Forestry University · Jul. 2013 - Aug. 2013导师：Huamin QU	Fujian Agriculture and Forestry University
Li Liu校友 · Visiting Scholar from Beijing Technology and Business University · Sep. 2012 - Jun. 2013导师：Huamin QU	Beijing Technology and Business University
Yunhai WANG校友 · Research Assistant from China Academy of Science · 2010导师：Huamin QU	China Academy of Science	Professor at Renmin University
Anbang XU校友 · Research Assistant from Beijing Normal University · 2007导师：Huamin QU	Beijing Normal University	PhD of UIUC at 2009) (Now Nvidia
Xiaotao YANG校友 · Research Assistant from Fudan University · 2007导师：Huamin QU	Fudan University
Zhengmao XIE校友 · Visiting Scholar from Peking University · 2006导师：Huamin QU	Peking University
Ying TANG校友 · Visiting Scholar from Zhejiang University · 2005导师：Huamin QU	Zhejiang University	Professor of Computer Science, Zhejiang University of Technology) Selected UROP/FYP students:
WANG Yanbang校友 · UROP at 2017/2018 · 2017导师：Huamin QU	—	Ms of Stanford at 2019
GU Qiao校友 · UROP at 2018 · 2018导师：Huamin QU	—	Ms of CMU at 2019
DU Xinnan校友 · FYP at 2018 · 2018导师：Huamin QU	—	Ms of CMU at 2019
ZHU Xinyu校友 · FYP at 2018 · 2018导师：Huamin QU	—	Ms of CMU at 2018
YU Zheqing校友 · FYP at 2018 · 2018导师：Huamin QU	—	Ms of Berkeley at 2018
CHEN Shaoyu校友 · UROP at 2015 · 2015导师：Huamin QU	—	PhD of NYU at 2017
ZOU Yuxuan校友 · UROP at 2015 · 2015导师：Huamin QU	—	UIUC at 2017
DENG Bowen校友 · UROP at 2015 · 2015导师：Huamin QU	—	CMU at 2017
WU Tongshuang校友 · UROP at 2014 · 2014导师：Huamin QU	—	PhD of University of Washington at 2016; IEEE PacificVis Best Notes Award) (Now assistant professor at CMU
Po Ming Law校友 · FYT at 2015 · 2015导师：Huamin QU	—	PhD of Georgia Tech at 2016; The HKUST Academic Achievement Medal Winner
CHAN Yuek Yin校友 · UROP and FYP at 2015 · 2015导师：Huamin QU	—	PhD of New York University at 2016; Best FYP and ASM Technology Award Winner; UROP Award First Runner Up; IEEE VAST Challenge Honorable Mention; now researcher at Adobe Research
WANG Tianyu校友 · UROP at 2015 · 2015导师：Huamin QU	—	PhD of Duke University at 2016; IEEE VAST Challenge Honorable Mention
WANG Ding校友 · FYP at 2014 · 2014导师：Huamin QU	—	PhD of University of California, San Diego at 2015
GAO Lisheng校友 · FYP at 2014 · 2014导师：Huamin QU	—	Msc of Carnegie Mellon University at 2016; The HKUST Academic Achievement Medal Winner
XU Lanxiao校友 · UROP at 2014 · 2014导师：Huamin QU	—	Msc of Carnegie Mellon University at 2015
YU Yue校友 · UROP at 2009 · 2009导师：Huamin QU	HKUST BSc, Social Science and Computer Science 2025 HKUST MPhil, Computer Science	社会流动与不平等的计算研究、图像视频创作的人机协作 PhD of Stanford at 2011
WU You校友 · UROP at 2008 · 2008导师：Huamin QU	—	PhD of Duke at 2010
LIU Jingbo校友 · UROP at 2008 · 2008导师：Huamin QU	—	PhD of HKUST at 2010
ZHUO Wei校友 · UROP at 2007 and 2008 · 2007导师：Huamin QU	—	PhD of Georgia Tech at 2009; The HKUST Academic Achievement Medal
CHAN Wing Yi校友 · UROP at 2005 and 2006 · 2005导师：Huamin QU	—	Mphil of HKUST at 2007; The HKUST Academic Achievement Medal Winner) University and Professional Activities:
DEDELER, Elif GamzePhD, IIP导师：Huamin QU	—
KHALATBARI, LeilaPhD, IIP导师：Huamin QU	—
KONG, XianghaoPhD, IIP导师：Huamin QU	—	共同指导
WANG, ZhePhD, IIP导师：Huamin QU	—	共同指导
ZHANG, SongchunPhD, IIP导师：Huamin QU	—	共同指导
ZHANG, ZeyuPhD, IIP导师：Huamin QU	—	共同指导
ZHONG, ZhizhouPhD, IIP导师：Huamin QU	—	共同指导
WANG, ZihaoPhD, IIP导师：Huamin QU	—	共同指导
KUZMIN, IuriiPhD, Individualized Interdisciplinary Program (Computational Media and Arts)导师：Huamin QU	—
YANG, FanMPhil, IIP导师：Huamin QU	—	共同指导
FAN, Pak Ming校友 · PhD, CSE · 2024导师：Huamin QU	2024 HKUST PhD, CSE
KVASOV, Andrei校友 · MPhil, CSE · 2023导师：Huamin QU	2023 HKUST MPhil, CSE
Wentao Xie (谢文涛)Research Assistant Professor导师：Qian ZHANGCSE X · LinkedIn · Google Scholar	2024 HKUST PhD, CSE	ubiquitous sensors、interaction、smart healthcare、wearables
Haiyan Hu (胡海燕)Postdoc导师：Qian ZHANGCSE Google Scholar · GitHub GitHub 关注 0 Stars 0	2020 Wuhan University BEng, Computer Science and Technology	smart healthcare、optical sensing、health data mining、low-cost spectroscopy
Huixin Dong (董慧鑫)Postdoc导师：Qian ZHANG	HUST PhD	IoT、AI、contactless sensing
Qingyong Hu (胡清泳)Postdoc导师：Qian ZHANGCSE	2015–2020 USTC BSc, Computer Science and Technology	mmWave human-centric contactless sensing、AIoT
Chenggao Li (李承高)校友 · PhD student导师：Qian ZHANGCSE	2026 HKUST PhD
Baichen Yang (杨柏辰)校友 · PhD student导师：Qian ZHANGCSE GitHub GitHub 关注 8 Stars 2	2026 HKUST PhD
Xinyi Zhang (张欣怡)PhD导师：Qian ZHANGCSE	2017–2021 Zhejiang University BEng, Electrical Engineering	smart health、wearable computing、AIoT、HCI
Chi Xu (徐驰)PhD导师：Qian ZHANGCSE GitHub GitHub 关注 33 Stars 22	2023 SUSTech Bachelor	smart healthcare、HCI、software engineering
Shanwen Chen (陈善文)PhD导师：Qian ZHANGCSE	Shandong University Bachelor, CSE
Jinjian Wang (汪金剑)PhD导师：Qian ZHANGCSE	HUST BEng, Electronic Information Engineering	hardware design、embedded systems、wireless sensing for health
Yizhen Zhang (张怡桢)PhD导师：Qian ZHANGCSE GitHub	2020–2024 Nankai University BSc, Software Engineering	smart healthcare、HCI
Jingqi Lin (林静琦)PhD导师：Qian ZHANGCSE	2021–2025 HUST BEng, Communication Engineering	smart sensing、multimodal intelligence
Yuxin Tan (谭雨欣)PhD导师：Qian ZHANGCSE	Sichuan University BEng, Cyber Security	ubiquitous computing、smart healthcare、ML for sensing
Yuyao Wu (吴雨垚)PhD导师：Qian ZHANGECE	HUST BEng, Electronic Information Engineering	multimodal perception、endpoint deployment
Junyao Peng (彭俊尧)MPhil导师：Qian ZHANGCSE	HUST BEng, Communications	medical engineering integration、hardware、embedded algorithms
Meng Xue校友 · PostDoc导师：Qian ZHANG	—	mobile and ubiquitous computing Shandong University
Yandao Huang校友 · Ph.D.导师：Qian ZHANGIndividualized Interdisciplinary Program (Internet of Things)	2025 HKUST PhD	smart healthcare and HAR ；共同指导；Individualized Interdisciplinary Program
Yinan Zhu校友 · Ph.D.导师：Qian ZHANGCSE	2026 HKUST PhD	radio-light-visual sensing and IoT
Yanbin Gong校友 · Ph.D.导师：Qian ZHANGCSE	2025 HKUST PhD	smart healthcare
Yuxuan Zhou校友 · Ph.D.导师：Qian ZHANGCSE	2025 HKUST PhD	wireless sensing
Zirui Huang校友 · Mphil导师：Qian ZHANG	—	musculoskeletal rehabilitation
Jiaxi Zhang校友 · Mphil导师：Qian ZHANGCSE	2025 HKUST MPhil	musculoskeletal rehabilitation
Linfei Ge校友 · Ph.D.导师：Qian ZHANGCSE	2024 HKUST PhD	acoustic sensing
Hua Kang校友 · Ph.D.导师：Qian ZHANGCSE	2023 HKUST PhD	IoT
Huangxun Chen校友 · Ph.D.导师：Qian ZHANG	—	mobile and secure computing and IoT
Chenyu Huang校友 · Ph.D.导师：Qian ZHANG	—	blockchain and mobile computing
Zeyu Wang校友 · Ph.D.导师：Qian ZHANG	—	mobile computing
Qianyi Huang校友 · Ph.D.导师：Qian ZHANG	—	mobile computing and IoT
Lin Yang校友 · Ph.D.导师：Qian ZHANG	—	big mobile data analysis Huawei Corp.
Zhice Yang校友 · PostDoc导师：Qian ZHANG	—	Mobile applications and Wireless Networks Shanghai Tech. University
Wei Wang校友 · RAP导师：Qian ZHANG	—	Wireless Networks and IoT Huazhong Univ. of Science and Technology
Lu Wang校友 · PostDoc导师：Qian ZHANG	—	wireless communications and networking Shenzhen Univ.
Jin Zhang校友 · Ph.D. and PostDoc导师：Qian ZHANG	—	Wireless Cooperative Communication and Networking ；Ph.D.
Qing Liao校友 · Ph.D.导师：Qian ZHANG	—	bioinformatics
Yanjiao Chen校友 · Ph.D.导师：Qian ZHANG	—	Spectrum management for Cognitive Radio Networks
Jiansong Zhang校友 · Ph.D.导师：Qian ZHANG	—	wireless LAN based networking and system
Xiaojun FENG校友 · Ph.D.导师：Qian ZHANG	—	Vehicular Wireless Sensor Networks
Peng LIN校友 · Ph.D.导师：Qian ZHANG	—	Cognitive Radio Networks and Dynamic Spectrum Management
Dawei CHEN校友 · Ph.D.导师：Qian ZHANG	—	Resource Management and Spectrum Measurement in Cognitive - Networks
Chengqi SONG校友 · Ph.D.导师：Qian ZHANG	—	Wireless Network Security
Ji LUO校友 · Ph.D.导师：Qian ZHANG	—	Mobile Sensor Networking
Juncheng JIA校友 · Ph.D.导师：Qian ZHANG	—	Cognitive Radio Networks and Dynamic Spectrum Management
Peng GUO校友 · PostDoc导师：Qian ZHANG	—	protocol design for wireless sensor networks
Yan Mei校友 · MPhil导师：Qian ZHANG	—	IoT
Yingjie Chen校友 · MPhil导师：Qian ZHANG	—	Wireless Networks
Qinghong Chen校友 · MPhil导师：Qian ZHANG	—
Zhe Lin校友 · MPhil导师：Qian ZHANG	—	IoT in healthcare
Fan Zhang校友 · MPhil导师：Qian ZHANG	—
Linlin YANG校友 · MPhil导师：Qian ZHANG	—	network ad
Eric Lo校友 · MPhil导师：Qian ZHANG	—	Cooperative MAC for Wireless Networks
XiaoRui PAN校友 · MPhil导师：Qian ZHANG	—	Wireless Healthcare and Sensor Networks
Xing XU校友 · MPhil导师：Qian ZHANG	—	Wireless Sensor Networking
Christopher LIM校友 · MPhil导师：Qian ZHANG	—	Multi-radio Wireless Mesh Networks
HuiCheng (Addison) CHI校友 · Addison导师：Qian ZHANG	—	CHI MPhil): P2P-based VoD service
Xiaoxi TANG校友 · MPhil导师：Qian ZHANG	—	Wireless Healthcare
Zhong SHEN校友 · MPhil导师：Qian ZHANG	—	Wireless Sensor Networks
Yanfeng Zhu校友 · co-supervised Ph.D. from Tsinghua University导师：Qian ZHANG	—
Qing Chen校友 · co-supervised Ph.D. from Tsinghua University导师：Qian ZHANG	—
Meng Zhang校友 · co-supervised Ph.D. from Tsinghua University导师：Qian ZHANG	—
Xuange LiangPhD导师：Qian ZHANGCSE	—
Ruilian RuPhD导师：Qian ZHANGIIP	—	共同指导；；Individualized Interdisciplinary Program
Ziming ZhangPhD导师：Qian ZHANGCSE	—
Qiyuan ZhuPhD导师：Qian ZHANGIIP	—	共同指导；；Individualized Interdisciplinary Program
Zhifeng JiaPhD导师：Qian ZHANGIndividualized Interdisciplinary Program (Data Science and Analytics)	—	共同指导；；Individualized Interdisciplinary Program
Tianjia ZhangPhD导师：Qian ZHANGIIP	—	共同指导；；Individualized Interdisciplinary Program
Chenghao ChangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Jiaying ChenMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Kaiyu ChenMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Linying DuanMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Zetao FanMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Chuyue GongMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Ming Sum Jonathan HoMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Ka Yan HongMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Lei HuaMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Lei HuangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Runchang JiangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Yuxuan KeMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Danyal Faisal KhanMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Pui Man LeeMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Jieying LiMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Shiyi LiMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Haotian LinMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Chaoyang LiuMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Fangzhou LiuMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Xin LiuMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Kuang LuoMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Linghui MiaoMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Zulei MuMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Huiling PanMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Jialin PanMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Ruiling PuMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Hong ShengMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Kaixin WangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Yuchao WangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Ziming WangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Yang WeiMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Zeyu WuMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Lin XiangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Siyu YanMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Liu YangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Hei Chung YauMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Xuyang ZhangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Zhihao ZhangMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Mingze ZhaoMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Yifei LinMPhil导师：Qian ZHANGIIP	—	；Individualized Interdisciplinary Program
Jianben He校友 · PhD · 2024导师：Qian ZHANGCSE	—	共同指导；
Qiucan Huang校友 · MPhil · 2024导师：Qian ZHANGIIP	—	；Individualized Interdisciplinary Program
Manhao Situ校友 · MPhil · 2023导师：Qian ZHANGIIP	—	；Individualized Interdisciplinary Program
Xinyuan Xu校友 · MPhil · 2023导师：Qian ZHANGIIP	—	；Individualized Interdisciplinary Program
TARANJIT-SINGHMPhil导师：Qian ZHANGTIE · 科技创新与创业	—
Song Sizhe AndyPhD导师：Gary Shueng-Han CHANCSE LinkedIn · GitHub · Google Scholar GitHub 关注 15 Stars 21	2017–2021 HKUST BSc, Computer Science and General Mathematics 2020 Spring Purdue University Exchange 2023-08 HKUST MPhil, Computer Science and Engineering	video analytics、action recognition；MPhil 论文：Flow-Count: An Efficient Flow-Based Video Crowd Counting Network
Peng Zhuoxuan SamuelPhD导师：Gary Shueng-Han CHANCSE	2022 HKUST BSc, Computer Science 2024-08 HKUST MPhil, Computer Science and Engineering	3D human sensing、video understanding；MPhil 论文：Single Domain Generalization for Crowd Counting
Tu TianyuPhD导师：Gary Shueng-Han CHANCSE	—	Multi-modal IoT sensing
Chiu Ka Ho AlexPhD导师：Gary Shueng-Han CHANCSE	2025-11 HKUST MPhil, Computer Science and Engineering	AIoT sensing；MPhil 论文：Graph-based Fingerprint Update Using Unlabelled WiFi Signals
Zhang Yukai JimPhD导师：Gary Shueng-Han CHANCSE	—	VLM
Yang Lin LisaMPhil导师：Gary Shueng-Han CHANCSE	—	Video analytics
Zhu Boan BruceMPhil导师：Gary Shueng-Han CHANCSE	—	Video analytics
Jian Yu Kei JaneMPhil导师：Gary Shueng-Han CHANCSE	—	Pervasive localization
Chang JoshuaMPhil导师：Gary Shueng-Han CHANCSE	—	3D reconstruction
Ta Ngoc LinhMPhil导师：Gary Shueng-Han CHANCSE	—	3D reconstruction
Lieu Kaixuan RyanMPhil导师：Gary Shueng-Han CHANCSE	—	AIoT sensing
Zhong Shuhan校友 · Postdoctoral Fellow · 2026-06–2026-08导师：Gary Shueng-Han CHANCSE	2026-03 HKUST PhD, Computer Science and Engineering	PhD 论文：Multivariate Time Series Analysis with Deep Learning
Liu Mengyun Amy校友 · Postdoctoral Fellow · 2020-06–2022-10导师：Gary Shueng-Han CHAN	—
He Suining Henry校友 · Postdoctoral Fellow · 2016-09–2016-10导师：Gary Shueng-Han CHAN	2016-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Enhancing Accuracy for Fingerprint-based Indoor Localization
Zheng Zeyu Linda校友 · Postdoctoral Fellow · 2013-10–2014-05导师：Gary Shueng-Han CHAN	—
Long Fei校友 · Postdoctoral Fellow · 2010-10–2011-09导师：Gary Shueng-Han CHAN	—
Jin Xing校友 · Postdoctoral Fellow · 2007-09–2008-08导师：Gary Shueng-Han CHAN	2007-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Topology Inference and Tree Construction for Topology-Aware Overlay Streaming
Zheng Guifeng校友 · Postdoctoral Fellow · 2006-08–2008-03导师：Gary Shueng-Han CHAN	—
Lin Lidong校友 · Postdoctoral Fellow · 2007-02–2007-10导师：Gary Shueng-Han CHAN	—
Chen Jiancong Kent校友 · Postdoctoral Fellow · 2004-09–2005-08导师：Gary Shueng-Han CHAN	2004-07 HKUST PhD, Computer Science	PhD 论文：Mixed-Mode Wireless Networks: Framework and Power Control Issues
He Tianlang校友 · PhD · 2026导师：Gary Shueng-Han CHANCSE	2026-02 HKUST PhD, Computer Science and Engineering	PhD 论文：Overcoming Data Distribution Shift in AIoT Mobile Sensing
Chen Jierun校友 · PhD · 2025导师：Gary Shueng-Han CHANCSE	2025-01 HKUST PhD, Computer Science and Engineering	PhD 论文：Efficient Neural Networks for Image Recognition and Generation on the Edge
Chang Zhangyu校友 · PhD · 2023导师：Gary Shueng-Han CHANCSE	2015-08 HKUST MPhil, Computer Science and Engineering 2023-12 HKUST PhD, Computer Science and Engineering	PhD 论文：Approximation Algorithms for Auto-Scaling Video Cloud；MPhil 论文：Bucket-filling: An Asymptotically Optimal Video-on-demand Network with Source Coding
Zhuo Weipeng Steve校友 · PhD · 2023导师：Gary Shueng-Han CHANCSE Google Scholar · GitHub GitHub 关注 28 Stars 8	2013-08 HKUST MPhil, Computer Science and Engineering 2023-12 HKUST PhD, Computer Science and Engineering	PhD 论文：Area Classification for RF Signals: A Graph Neural Network Approach；MPhil 论文：Contjunction: Indoor Localization Based on Junction of Signal Contours
Li Guanyao校友 · PhD · 2022导师：Gary Shueng-Han CHAN	2022-05 HKUST PhD, Computer Science and Engineering	PhD 论文：Spatial-Temporal Data Mining: Co-Location Detection and Flow Forecasting
Tan Jiajie校友 · PhD · 2021导师：Gary Shueng-Han CHAN	2021-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Efficient RF-based Location Sensing
Wong Wang Kit Jerry校友 · PhD · 2019导师：Gary Shueng-Han CHAN	2019-07 HKUST PhD, Computer Science and Engineering	PhD 论文：Optimization of User Association for Wireless Local Area Networks
Zhang Bo校友 · PhD · 2016导师：Gary Shueng-Han CHAN	2016-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Efficient Live Video Streaming for Wireless Multi-hop Networks
Ren Dongni Tony校友 · PhD · 2014导师：Gary Shueng-Han CHAN	2009-08 HKUST MPhil, Computer Science and Engineering 2014-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Next-Generation Video Streaming Networks；MPhil 论文：Fast-Mesh: A Low-Delay High-Bandwidth Mesh for Peer-to-Peer Live Streaming
Ma Mengyao校友 · PhD · 2009导师：Gary Shueng-Han CHAN	2009-01 HKUST PhD, Computer Science and Engineering	PhD 论文：Error Resilience and Concealment Techniques for Packet Video Transmission 与 Oscar Au（ECE）共同指导
Yiu Wai Pun Ken校友 · PhD · 2008导师：Gary Shueng-Han CHAN	2004-08 HKUST MPhil, Computer Science 2008-01 HKUST PhD, Computer Science and Engineering	PhD 论文：Offering Reliability and Interactivity for Peer-to-Peer Streaming；MPhil 论文：Secure Overlay Multicast
He Jingyi校友 · PhD · 2004导师：Gary Shueng-Han CHAN	2004-08 HKUST PhD, Electrical and Electronic Engineering	PhD 论文：Routing and Channel Assignment in Optical and Wireless Networks 与 Danny Tsang（ECE）共同指导
Wu Bohuai校友 · MPhil · 2024导师：Gary Shueng-Han CHANCSE	2024-06 HKUST MPhil, Computer Science and Engineering	MPhil 论文：A Spatial-Temporal Multitask Deep-Learning Pipeline to Predict CT Perfusion Parameters
Bai Haoyue校友 · MPhil · 2022导师：Gary Shueng-Han CHAN	2022-05 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
Kwok Ka Kit Alex校友 · MPhil · 2022导师：Gary Shueng-Han CHAN	2022-01 HKUST MPhil, Technology Leadership and Entrepreneurship	MPhil 论文：Enabling Smart Car Park Adoption with Innovative AI Camera: A Design Thinking Approach
Zhang Zheng Murphy校友 · MPhil · 2021导师：Gary Shueng-Han CHAN	2021-12 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Fusing RF and IMU Signals with HMM in a Docked Phone for Indoor Carpark Navigation
Wong Man Yu Willis校友 · MPhil · 2021导师：Gary Shueng-Han CHAN	2021-09 HKUST MPhil, Computer Science and Engineering	MPhil 论文：SiFu: A Generic and Robust Multimodal Signal Fusion Platform for Pervasive Localization
Fung Ka Yan Gabi校友 · MPhil · 2021导师：Gary Shueng-Han CHAN	2021-08 HKUST MPhil, Technology Leadership and Entrepreneurship	MPhil 论文：Research and Development of A Novel Mobile Chinese Application for Dyslexia Pre-screening
Wen Song校友 · MPhil · 2019导师：Gary Shueng-Han CHAN	2019-12 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Unsupervised Video Super-Resolution with Temporal Consistency using GAN
Deng Zhiheng校友 · MPhil · 2019导师：Gary Shueng-Han CHAN	2019-09 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Sifu: A Fingerprint-based Localization Framework to Fuse Heterogeneous Signals
Zhang Yifeng John校友 · MPhil · 2019导师：Gary Shueng-Han CHAN	2019-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：AHEG: Attention-based Heterogeneous Graph Convolutional Networks
Mar Wing Lun Hugo校友 · MPhil · 2018导师：Gary Shueng-Han CHAN	2018-08 HKUST MPhil, Technology Leadership and Entrepreneurship	MPhil 论文：Fingerprint-based Indoor Sensing: Technology and Commercialization
Han Lichao校友 · MPhil · 2018导师：Gary Shueng-Han CHAN	2018-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Path Construction Under MAC Address Randomization
Chow Ka Ho Samuel校友 · MPhil · 2018导师：Gary Shueng-Han CHAN	2018-06 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Efficient Locality Classification for Indoor Fingerprint-based Systems
Raghuraman Sathish校友 · MPhil · 2017导师：Gary Shueng-Han CHAN	2017-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Scalable Video Broadcasting on Fog: Implementation and Experimental Study
Thakur Avishek Kumar校友 · MPhil · 2017导师：Gary Shueng-Han CHAN	2017-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Coverage Control and Channel Assignment for WLANs with Maximum Power Association
Wu Hang校友 · MPhil · 2017导师：Gary Shueng-Han CHAN	2017-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Efficient Indoor Localization with Geomagnetism
Zhuang Qidong Alan校友 · MPhil · 2016导师：Gary Shueng-Han CHAN	2016-08 HKUST MPhil, Technology Leadership and Entrepreneurship	MPhil 论文：From Cloud to Fog: Scaling up a Network with Crowd-sourcing
Au Ka Wai David校友 · MPhil · 2016导师：Gary Shueng-Han CHAN	2016-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Optimizing Auto-scaling Virtual Machines for a Cloud-based VoD Data Center
Lin Wenbin Ben校友 · MPhil · 2015导师：Gary Shueng-Han CHAN	2015-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Indoor Localization and Fingerprint Update with Altered Access Points
Dai Jie校友 · MPhil · 2015导师：Gary Shueng-Han CHAN	2015-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Delay Optimization for Multi-source Multi-channel Overlay Live Streaming
Hu Tianyang校友 · MPhil · 2015导师：Gary Shueng-Han CHAN	2015-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Towards Practical Deployment of Wi-Fi Fingerprint-Based Indoor Localization
Xiong Hongzheng Andy校友 · MPhil · 2015导师：Gary Shueng-Han CHAN	2015-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Movie Allocation and Traffic Distribution Optimization for Auto-Scaling Virtual Machines in a Cloud VoD Data Center
Ji Bo校友 · MPhil · 2014导师：Gary Shueng-Han CHAN	2014-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Chameleon: Survey-Free Updating of Fingerprint Database for Indoor Localization
Xu Zhuolin Fannie校友 · MPhil · 2012导师：Gary Shueng-Han CHAN	2012-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Optimizing Segment Storage and Retrieval for Distributed Video-on-Demand
Hong Wa Lun Warner校友 · MPhil · 2011导师：Gary Shueng-Han CHAN	2011-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：CRAG: Game-Based Joint Channel and Routing Assignment for Wireless Mesh Networks
Li Jingwei Aaron校友 · MPhil · 2011导师：Gary Shueng-Han CHAN	2011-01 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Distributed and Cooperative Segment Caching for Mobile Peer-to-Peer Interactive Streaming
Yuen Chun Ho校友 · MPhil · 2010导师：Gary Shueng-Han CHAN	2010-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Scalable Peer-to-Peer Monitoring: Design and Measurement
Xia Pengye Henry校友 · MPhil · 2010导师：Gary Shueng-Han CHAN	2010-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Optimal Bandwidth Assignment for Multiple-Description-Coded Video
Cheng Chi Him校友 · MPhil · 2010导师：Gary Shueng-Han CHAN	2010-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Collaborative ISP-CP Live Streaming
Yue Xiaonan John校友 · MPhil · 2010导师：Gary Shueng-Han CHAN	2010-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：CACAO: Distributed Client-Assisted Channel Assignment Optimization for Uncoordinated WLANs
He Ting Eric校友 · MPhil · 2010导师：Gary Shueng-Han CHAN	2010-04 HKUST MPhil, Computer Science and Engineering	MPhil 论文：\piMesh: Practical Implementation of a Low-Cost Wireless Mesh for Indoor Networking
Li Yue Tung Hillman校友 · MPhil · 2009导师：Gary Shueng-Han CHAN	2009-10 HKUST MPhil, Computer Science and Engineering	MPhil 论文：RMesh: A Low-Delay Robust Mesh for Dynamic Peer-to-Peer Streaming Network
Chan Kam Hung Kelvin校友 · MPhil · 2009导师：Gary Shueng-Han CHAN	2009-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：SPANC: Optimizing Scheduling Delay for Peer-to-Peer Live Streaming
Tang Ho Shing Wilson校友 · MPhil · 2008导师：Gary Shueng-Han CHAN	2008-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：POPCA: Optimizing Segment Caching for Peer-to-Peer On-Demand Streaming
Chan Chi Fung Michael校友 · MPhil · 2008导师：Gary Shueng-Han CHAN	2008-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：MOLE: Multi-Hop Object Location in Wireless Mesh Networks
Li Shenjie校友 · MPhil · 2008导师：Gary Shueng-Han CHAN	2008-05 HKUST MPhil, Computer Science and Engineering	MPhil 论文：BOPPER: Broadcast-Based Peer-to-Peer Error Recovery for Wireless Video
Wong Chi Fai Michael校友 · MPhil · 2007导师：Gary Shueng-Han CHAN	2007-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：CACAO: Client-Assisted Channel Assignment Optimization for Uncoordinated Home WLANs
Cheung Victor校友 · MPhil · 2006导师：Gary Shueng-Han CHAN	2006-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Distributed Position Estimation for Wireless Sensor Networks
Leung Man Fung Stanley校友 · MPhil · 2006导师：Gary Shueng-Han CHAN	2006-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Peer-to-Peer Collaborative Streaming among Mobiles for Video Broadcasting
Cheng Kan Leung校友 · MPhil · 2006导师：Gary Shueng-Han CHAN	2006-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Offering Differentiated Services for Peer-to-Peer Streaming
Ho Chi Wang Jody校友 · MPhil · 2006导师：Gary Shueng-Han CHAN	2006-08 HKUST MPhil, Computer Science	MPhil 论文：Fast Video Transcoding and Graphics Hardware Acceleration 与 Oscar Au（ECE）共同指导
Wong Kin Fung Simon校友 · MPhil · 2004导师：Gary Shueng-Han CHAN	2004-08 HKUST MPhil, Computer Science	MPhil 论文：Lateral Error Recovery for Application-Level Multicast
Cheuk Kin Wai Roger校友 · MPhil · 2004导师：Gary Shueng-Han CHAN	2004-08 HKUST MPhil, Computer Science	MPhil 论文：Island Multicast: The Combination of IP Multicast and Application Layer Multicast
Wong Wan Ching William校友 · MPhil · 2003导师：Gary Shueng-Han CHAN	2003-08 HKUST MPhil, Computer Science	MPhil 论文：SALM: An Efficient Application-level Multicast Protocol for Dynamic Groups
Zheng Xing校友 · MPhil · 2003导师：Gary Shueng-Han CHAN	2003-07 HKUST MPhil, Computer Science	MPhil 论文：Ultrasound Image Processing and Transmission for Medical Applications 与 Albert Chung 共同指导
Chan Kin Ching校友 · MPhil · 2001导师：Gary Shueng-Han CHAN	2001-08 HKUST MPhil, Computer Science	MPhil 论文：Distributed Server Approach for Large-Scale Secure Multicast
Lee Tak Wan, Angus校友 · MPhil · 2001导师：Gary Shueng-Han CHAN	2001-08 HKUST MPhil, Computer Science	MPhil 论文：Joint Allocation of FEC and Bandwidth across Layers for Video Multicast over Wired and Wireless Networks
Yeung Siu Hong Ivan校友 · MPhil · 2000导师：Gary Shueng-Han CHAN	2000-09 HKUST MPhil, EE	MPhil 论文：Providing Cost-Effective Networked Video Services by Means of Data Broadcasting and Delay-Aware Scheduling 与 Ted Kok 共同指导
Ning Luo校友 · PhD · 2025导师：Gary Shueng-Han CHANIndividualized Interdisciplinary Program (Innovation, Policy and Entrepreneurship)	—	共同指导
Wing Ho Cheung校友 · MPhil · 2026导师：Gary Shueng-Han CHANCSE	—
Adriel Abraham Intan校友 · MPhil · 2026导师：Gary Shueng-Han CHANCSE	—
Jinbin HuPostDoc · 2022导师：Kai CHEN 简历	—	PostDoc, Fall 2022
Bowen LiuPostDoc · 2024导师：Kai CHEN Google Scholar · GitHub GitHub 关注 6 Stars 0	2019 Northeastern University BEng 2024 Nanjing University PhD, Computer Science and Technology	host network architecture、datacenter networking、distributed systems、edge computing PostDoc, Fall 2024；博士导师 Wanchun Dou；Axio open-source project
Hao XuPhD · 2020导师：Kai CHENCSE	—	PhD student, Fall 2020
Liming ZhangPhD · 2022导师：Kai CHENCSE	—	PhD student, Fall 2022
Xinyang HuangPhD · 2023导师：Kai CHENCSE GitHub GitHub 关注 34 Stars 39	2021 UESTC BEng, Network Engineering 2023 HKUST MPhil, Computer Science	host network architecture、RDMA NICs/SmartNICs、OS、datacenter networking PhD student, Fall 2023；参与 Axio；与 Junxue Zhang、Bowen Liu 合作
Decang SunPhD · 2023导师：Kai CHENCSE	—	PhD student, Fall 2023
Yijun SunPhD · 2023导师：Kai CHENCSE	—	PhD student, Fall 2023
Xinyu YangPhD · 2023导师：Kai CHENCSE	—	PhD student, Fall 2023
Yuxuan LiPhD · 2024导师：Kai CHENCSE	—	PhD student, Fall 2024
Qijing LiPhD · 2024导师：Kai CHENCSE	—	PhD student, Fall 2024
Pengbo LiPhD · 2024导师：Kai CHENCSE	—	PhD student, Fall 2024
Xiangzhou LiuPhD · 2024导师：Kai CHENCSE	—	PhD student, Fall 2024
Yunxuan ZhangPhD · 2024导师：Kai CHENCSE	—	PhD student, Fall 2024
Zhaoxiang BaoPhD · 2025导师：Kai CHENCSE	—	PhD student, Fall 2025
Yu LiuPhD · 2025导师：Kai CHENCSE	—	PhD student, Fall 2025
Linkai SongPhD · 2025导师：Kai CHENCSE	—	PhD student, Fall 2025
Zihao WangPhD · 2025导师：Kai CHENCSE	—	PhD student, Fall 2025
Songrun XiePhD · 2025导师：Kai CHENCSE	—	PhD student, Fall 2025
Feiyuan ZhangPhD · 2025导师：Kai CHENCSE	2025 HKUST MPhil	PhD student, Fall 2025
Wenxue Li校友 · PhD #20 · 2025导师：Kai CHENCSE 简历 · Google Scholar · LinkedIn · GitHub GitHub 关注 30 Stars 2	2025 HKUST PhD	PhD #20, 2025
Zhenghang Ren校友 · PhD #19 · 2025导师：Kai CHENCSE	2025 HKUST PhD	PhD #19, 2025
Liu Yang校友 · PhD #18 · 2025导师：Kai CHENCSE	2025 HKUST PhD	PhD #18, co-supervise with Prof. Qiang Yang, 2025
Xudong Liao校友 · PhD #17 · 2025导师：Kai CHENCSE 简历 · GitHub GitHub 关注 46 Stars 26	2025 HKUST PhD	PhD #17, 2025
Kaiqiang Xu校友 · PhD #16 · 2025导师：Kai CHENCSE	2025 HKUST PhD	PhD #16, 2025
Yilun Jin校友 · PhD #15 · 2025导师：Kai CHENCSE 简历 · LinkedIn · Google Scholar · GitHub GitHub 关注 38 Stars 129	2025 HKUST PhD	PhD #15, co-supervise with Prof. Qiang Yang, 2025
Hao Wang校友 · PhD #14 · 2025导师：Kai CHENCSE DBLP · ORCID DBLP 近三年 60	2025 HKUST PhD Shanghai Jiaotong Univ.	PhD #14, 2025；Intern student Intern student, from Shanghai Jiaotong Univ.
Zilong Wang校友 · PhD #13 · 2025导师：Kai CHENCSE GitHub GitHub 关注 31 Stars 5	2025 HKUST PhD	PhD #13, 2025
Xinchen Wan校友 · PhD #12 · 2025导师：Kai CHENCSE 简历 · Google Scholar · GitHub · LinkedIn GitHub 关注 38 Stars 0	2025 HKUST PhD	PhD #12, 2025
Di Chai校友 · PhD #11 · 2025导师：Kai CHENCSE GitHub GitHub 关注 46 Stars 188	2025 HKUST PhD	PhD #11, co-supervise with Prof. Qiang Yang, 2025
Weiyan Wang校友 · PhD #10 · 2023导师：Kai CHENCSE 简历 · Google Scholar · LinkedIn · GitHub GitHub 关注 3 Stars 0	2023 HKUST PhD	Researcher at Tencent PhD #10, 2023, Researcher at Tencent
Chaoliang Zeng校友 · PhD #9 · 2023导师：Kai CHENCSE GitHub GitHub 关注 38 Stars 2	2023 HKUST PhD	Chip Architect at BitIntelligence PhD #9, 2023, Chip Architect at BitIntelligence
Han Tian校友 · PhD #8 · 2023导师：Kai CHENCSE Google Scholar · GitHub GitHub 关注 23 Stars 11	2023 HKUST PhD	Assistant Professor, USTC PhD #8, 2023, Assistant Professor, USTC
Yiding Wang校友 · PhD #7 · 2023导师：Kai CHENCSE 简历 · Google Scholar · LinkedIn	2023 HKUST PhD	Researcher at Huawei PhD #7, 2023, Researcher at Huawei
Junxue Zhang校友 · PhD #6 · 2022导师：Kai CHEN DBLP · ORCID DBLP 近三年 34	—	Professor, USTC PhD #6, 2022, Professor, USTC
Gaoxiong Zeng校友 · PhD #5 · 2021导师：Kai CHEN	—	Researcher at Huawei, Gifted Young Award PhD #5, 2021, Researcher at Huawei, Gifted Young Award
Shuihai Hu校友 · PhD #4 · 2019导师：Kai CHEN 简历 · GitHub GitHub 关注 23 Stars 4	—	Researcher at Huawei PhD #4, 2019, Researcher at Huawei
Hong Zhang校友 · PhD #3 · 2019导师：Kai CHEN Google Scholar · GitHub · LinkedIn · X · DBLP · ORCID DBLP 近三年 6 GitHub 关注 32 Stars 84	—	Assistant Professor, University of Waterloo PhD #3, 2019, Assistant Professor, University of Waterloo
Li Chen校友 · PhD #2 · 2018导师：Kai CHEN GitHub · Google Scholar · LinkedIn · X · ORCID · DBLP DBLP 近三年 91 GitHub 关注 164 Stars 84	—	Researcher at Zhongguancun Lab PhD #2, 2018, Researcher at Zhongguancun Lab
Wei Bai校友 · PhD #1 · 2017导师：Kai CHEN 简历 · GitHub · LinkedIn · Google Scholar GitHub 关注 215 Stars 75	—	Principal Architect at NVIDIA PhD #1, 2017, Principal Architect at NVIDIA
Tingting Xu校友 · PostDoc 2026 · 2026导师：Kai CHEN 简历 · Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 2 GitHub 关注 1 Stars 0	—	Assistant Professor, Shenzhen University PostDoc 2026, Assistant Professor, Shenzhen University
Xiaojin Zhang校友 · PostDoc 2023 · 2023导师：Kai CHEN 简历 · GitHub GitHub 关注 1 Stars 0	—	Assistant Professor, Huazhong University of Science and Technology PostDoc 2023, Assistant Professor, Huazhong University of Science and Technology
Hao Liu校友 · PostDoc 2021 · 2021导师：Kai CHEN Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 110 GitHub 关注 54 Stars 2	—	Assistant Professor, HKUST-Guangzhou PostDoc 2021, Assistant Professor, HKUST-Guangzhou
Wenxin Li校友 · PostDoc 2019 · 2019导师：Kai CHEN	—	Professor, Tianjin University PostDoc 2019, Professor, Tianjin University
Yuchao Zhang校友 · PostDoc 2018 · 2018导师：Kai CHEN	—	Professor, Beijing University of Posts and Telecommunications PostDoc 2018, Professor, Beijing University of Posts and Telecommunications
Hengky Susanto校友 · PostDoc · 2016导师：Kai CHEN	—	Principle Researcher Scientist at Huawei PostDoc, 2016, Principle Researcher Scientist at Huawei
Yuxuan Qin校友 · MPhil 2024 · 2024导师：Kai CHENCSE	2024 HKUST MPhil	MPhil 2024
Mingxuan Fan校友 · MPhil 2024 · 2024导师：Kai CHENCSE	2023 HKUST MPhil	MPhil 2024
Xiaodian Cheng校友 · MPhil 2023 · 2023导师：Kai CHENCSE	2023 HKUST MPhil	MPhil 2023
Shuowei Cai校友 · MPhil 2023 · 2023导师：Kai CHENCSE	2023 HKUST MPhil	MPhil 2023
Ding Tang校友 · MPhil 2022 · 2022导师：Kai CHEN	—	MPhil 2022
Yiqing Ma校友 · MPhil 2021 · 2021导师：Kai CHEN	—	MPhil 2021
Cengguang Zhang校友 · MPhil 2021 · 2021导师：Kai CHEN	—	MPhil 2021
Zhuoyi Peng校友 · MPhil 2021 · 2021导师：Kai CHEN	—	MPhil 2021
Duowen Liu校友 · MPhil 2021 · 2021导师：Kai CHEN	—	MPhil 2021
Zhaorong Liu校友 · MPhil 2021 · 2021导师：Kai CHEN	—	MPhil 2021
Jingrong Chen校友 · MPhil 2020 · 2020导师：Kai CHEN	—	MPhil 2020
Ge Chen校友 · MPhil 2020 · 2020导师：Kai CHEN	—	MPhil 2020
Zhaoxiong Yang校友 · MPhil 2020 · 2020导师：Kai CHEN	—	MPhil 2020
Jiacheng Xia校友 · MPhil 2019 · 2019导师：Kai CHEN	—	MPhil 2019
Qinghe Jing校友 · MPhil 2019 · 2019导师：Kai CHEN	—	MPhil 2019
Bairen Yi校友 · MPhil 2019 · 2019导师：Kai CHEN	—	MPhil 2019
Justinas Lingys校友 · MPhil 2018 · 2018导师：Kai CHEN	—	MPhil 2018
Baochen Qiao校友 · MPhil 2018 · 2018导师：Kai CHEN	—	MPhil 2018
Yang Peng校友 · MPhil 2014 · 2014导师：Kai CHEN	—	MPhil 2014
Ye Tao校友 · MPhil 2014 · 2014导师：Kai CHEN	—	MPhil 2014
Ziyang Li校友 · Intern student导师：Kai CHEN	National Univ. of Defense Technology	Intern student, from National Univ. of Defense Technology
Jinzhen Bao校友 · Intern student导师：Kai CHEN	National Univ. of Defense Technology	Intern student, from National Univ. of Defense Technology
Zhuotao Liu校友 · Intern student导师：Kai CHEN GitHub GitHub 关注 3 Stars 0	Univ. of Illinois Urbana-Champaign	Intern student, from Univ. of Illinois Urbana-Champaign
Weiyu Zhang校友 · Intern student导师：Kai CHEN	Shanghai Jiaotong Univ.	Intern student, from Shanghai Jiaotong Univ.
Yangming Zhao校友 · Intern student导师：Kai CHEN	Univ. of Electronic Science and Technology of China	Intern student, from Univ. of Electronic Science and Technology of China
Weicheng Sun校友 · Intern student导师：Kai CHEN	Shanghai Jiaotong Univ.	Intern student, from Shanghai Jiaotong Univ.
Zhouwang Fu校友 · Intern student导师：Kai CHEN	Shanghai Jiaotong Univ.	Intern student, from Shanghai Jiaotong Univ.
Hao Jin校友 · Intern student导师：Kai CHEN	Nanjing Univ.	Intern student, from Nanjing Univ.
Libin Liu校友 · Intern student导师：Kai CHEN	Shandong Univ.	Intern student, from Shandong Univ.
Kun Guo校友 · Visiting scholar导师：Kai CHEN	Fuzhou University	Visiting scholar, from Fuzhou University
Xuangou Wu校友 · Visiting scholar导师：Kai CHEN	Anhui Univ. of Technology	Visiting scholar, from Anhui Univ. of Technology
Deke Guo校友 · Visiting scholar导师：Kai CHEN	National Univ. of Defense Technology	Visiting scholar, from National Univ. of Defense Technology
Hangxing Wu校友 · Visiting scholar导师：Kai CHEN	Univ. of Science and Technology Beijing	Visiting scholar, from Univ. of Science and Technology Beijing
Dezun Dong校友 · Visiting scholar导师：Kai CHEN	National Univ. of Defense Technology	Visiting scholar, from National Univ. of Defense Technology
Zhaoshuo LiuPhD导师：Kai CHENCSE	—
Zixun SuPhD导师：Kai CHENCSE	—
Tao FanPhD导师：Kai CHENCSE	—
Shuoling LiuPhD导师：Kai CHENCSE	—
Hangyu LinPhD导师：Kai CHENCSE	—
Xingxing TangPhD导师：Kai CHENCSE	—
Sheng WanPhD导师：Kai CHENCSE	—
Zhuo ChenMPhil导师：Kai CHENCSE	—
Daoping ZhangMPhil导师：Kai CHENCSE	—
Xianfei WangMPhil导师：Kai CHENCSE	—
Dashan Gao校友 · PhD · 2025导师：Kai CHENCSE	—
Sizai Hou校友 · PhD · 2025导师：Kai CHENIndividualized Interdisciplinary Program (Internet of Things)	—	；Individualized Interdisciplinary Program
Xu Geng校友 · PhD · 2024导师：Kai CHENCSE	—
Guanyu JiangPhD导师：Siu-Wing CHENGCSE	—
Ziyu ZhouPhD导师：Siu-Wing CHENGCSE	—
Xinru GuoPhD导师：Siu-Wing CHENGCSE	—
Zhitao HePhD导师：Siu-Wing CHENGCSE	—
Man Ting Wong校友 · PhD · 2026导师：Siu-Wing CHENGCSE	—
Haoqiang Huang校友 · PhD · 2025导师：Siu-Wing CHENGCSE Google Scholar · GitHub GitHub 关注 0 Stars 0	USTC Bachelor, Computer Science and Technology 2025 HKUST PhD	computational geometry、trajectory/time-series algorithms Staff Engineer, Huawei Beijing
Ziyi He校友 · PhD, CSE · 2025导师：Albert Chi-Shing CHUNG	2025 HKUST PhD, CSE
Wen Ji校友 · PhD, CSE · 2025导师：Albert Chi-Shing CHUNG	2025 HKUST PhD, CSE
YU, JiemingPhD, CSE导师：Albert Chi-Shing CHUNG	—
CHAN, Yin Lai LyndonPhD, CSE导师：Albert Chi-Shing CHUNG	—
KWAN, Leong Chit JeffPhD, CSE导师：Albert Chi-Shing CHUNG	—
TING, Chin KanMPhil, CSE导师：Albert Chi-Shing CHUNG	—
CHONG, Shing YukMPhil, CSE导师：Albert Chi-Shing CHUNG	—
TSANG, Siu Chung校友 · PhD, CSE · 2023导师：Albert Chi-Shing CHUNG	2023 HKUST PhD, CSE	The Chinese University of Hong Kong
Rui Gan校友 · PhD · 2006导师：Albert Chi-Shing CHUNG	2006 HKUST PhD	Lecturer, Peking University（2009 年加入）
Wilbur Chun Kit Wong校友 · PhD · 2006导师：Albert Chi-Shing CHUNG	2003 HKUST MPhil 2006 HKUST PhD	Thomson Reuters（2009 年加入）在组内担任博士后：2006-09–2006-10；2007-12–2009-08
Jue (John) Wu校友 · PhD · 2008导师：Albert Chi-Shing CHUNG	2008 HKUST PhD	Postdoctoral Fellow, PICSL, University of Pennsylvania（2009 年加入）在组内担任博士后：2008-09–2009-02
Wai Kong (Max) Law校友 · PhD · 2010导师：Albert Chi-Shing CHUNG	2006 HKUST MPhil 2010 HKUST PhD	Siemens Corporate Research, Princeton · Intern2009-03–2009-08 Postdoctoral Fellow, GE Healthcare / University of Western Ontario（2010 年加入）
Shu (Billy) Liao校友 · PhD · 2010导师：Albert Chi-Shing CHUNG	2007 HKUST MPhil 2010 HKUST PhD	Postdoctoral Fellow, UNC Chapel Hill（2010 年加入）
Yi Shan (Lisa) Luo校友 · PhD · 2012导师：Albert Chi-Shing CHUNG	2012 HKUST PhD	Medical Physicist, Hong Kong Sanatorium & Hospital（2012 年加入）
Ning (Joanna) Zhu校友 · PhD · 2014导师：Albert Chi-Shing CHUNG	2014 HKUST PhD	Postdoctoral Scholar, Stanford School of Medicine（2014 年加入）
Ronald Wai King So校友 · PhD · 2017导师：Albert Chi-Shing CHUNG	2009 HKUST MPhil 2017 HKUST PhD	Resident Physicist, Princess Margaret Hospital
Siqi (Portia) Bao校友 · PhD · 2017导师：Albert Chi-Shing CHUNG	2017 HKUST PhD	R&D Engineer, Baidu, Shenzhen
Pei (Wynonna) Wang校友 · PhD · 2020导师：Albert Chi-Shing CHUNG	2020 HKUST PhD	Data Scientist, Natixis, Hong Kong
Yongxiang (Jason) Huang校友 · PhD · 2021导师：Albert Chi-Shing CHUNG	2021 HKUST PhD	R&D Engineer, Tencent, Shenzhen
Yishuo Zhang校友 · PhD · 2022导师：Albert Chi-Shing CHUNG	2022 HKUST PhD	Huawei
Rongzhao Zhang校友 · PhD · 2022导师：Albert Chi-Shing CHUNG	2022 HKUST PhD	Shanghai AI Laboratory
Jierong Wang校友 · PhD · 2022导师：Albert Chi-Shing CHUNG	2022 HKUST PhD	Hong Kong Sanatorium & Hospital
Tony Chi Wing Mok校友 · PhD · 2022导师：Albert Chi-Shing CHUNG	2022 HKUST PhD	Alibaba
Ho Ming Chan校友 · MPhil · 2003导师：Albert Chi-Shing CHUNG	2003 HKUST MPhil
Xing Zhang校友 · MPhil · 2003导师：Albert Chi-Shing CHUNG	2003 HKUST MPhil	共同导师 Gary Chan
Jian Ye校友 · MPhil · 2005导师：Albert Chi-Shing CHUNG	2005 HKUST MPhil	Mathematics；共同导师 Yang Xiang
Ming Yuen Chan校友 · MPhil · 2006导师：Albert Chi-Shing CHUNG	2006 HKUST MPhil	共同导师 Huamin Qu
Wai Ho (Tommy) Tang校友 · MPhil · 2007导师：Albert Chi-Shing CHUNG	2007 HKUST MPhil
Yuan (Vincent) Yuan校友 · MPhil · 2008导师：Albert Chi-Shing CHUNG	2008 HKUST MPhil
Kai Ho (William) Wu校友 · MPhil · 2014导师：Albert Chi-Shing CHUNG	2014 HKUST MPhil
Qing (Chloe) Zhang校友 · MPhil · 2017导师：Albert Chi-Shing CHUNG	2017 HKUST MPhil	ECE
Han Zhang校友 · MPhil · 2022导师：Albert Chi-Shing CHUNG	2022 HKUST MPhil
Kam Keung (KK) Lau校友 · Postdoctoral Researcher · 2005-12–2006-06导师：Albert Chi-Shing CHUNG	—
Zhenyu (Terry) He校友 · Postdoctoral Researcher · 2007-01–2009-02导师：Albert Chi-Shing CHUNG	—	Associate Professor, Huazhong University of Science and Technology
Yee Man (Shirley) Wong校友 · MSc project student · 2002导师：Albert Chi-Shing CHUNG	2002 HKUST MSc
Wai Ip Choi校友 · MSc project student · 2004导师：Albert Chi-Shing CHUNG	2004 HKUST MSc
Cherrie Ng校友 · MSc project student · 2004导师：Albert Chi-Shing CHUNG	2004 HKUST MSc
Wenchao Cai校友 · Research group member · 2005-09–2006-12导师：Albert Chi-Shing CHUNG	—
Ning Lu校友 · PhD · 2026导师：Cunsheng DINGCSE	—
Tingfang Chen校友 · PhD · 2025导师：Cunsheng DINGCSE	—
CHAU, Yu Foon DarinPhD, CSE导师：Andrew B. HORNER	2026 HKUST MPhil, CSE
DINH, Anh DungPhD, CSE导师：Andrew B. HORNER	—
WEXLER, David SolomonMPhil, IIP导师：Andrew B. HORNER	—	共同指导
WU, Xinyang校友 · PhD, CSE · 2026导师：Andrew B. HORNER	2026 HKUST PhD, CSE
LAW, Man Hei校友 · PhD, CSE · 2025导师：Andrew B. HORNER	2025 HKUST PhD, CSE
SONG, Wenyi校友 · PhD, CSE · 2025导师：Andrew B. HORNER	2025 HKUST PhD, CSE
LEUNG, Hoi Ting校友 · MPhil, CSE · 2023导师：Andrew B. HORNER	2023 HKUST MPhil, CSE
Bin Wu校友 · PhD · 2015导师：Andrew B. HORNER	2015 HKUST PhD	Director of Lyra Lab, Tencent Music Entertainment Group 共同导师 Andrew Horner、Qiang Yang
Simon Siu-Hang Lui校友 · PhD · 2011导师：Andrew B. HORNER	2011 HKUST PhD	Chief Expert (Audio), Huawei Hong Kong Research Center
Jinyuan Jia校友 · PhD · 2004导师：Andrew B. HORNER	2004 HKUST PhD	Professor, Tongji University
Philipp BlankenhagenPhD, CSE导师：James Tin-Yau KWOK	—
Shuhao ChenPhD, CSE导师：James Tin-Yau KWOK	—	co-supervised with Yu Zhang
Yunhao GouPhD, CSE · 2022–导师：James Tin-Yau KWOK 简历 · GitHub · Google Scholar GitHub 关注 2 Stars 108	UESTC 本科，Software Engineering 2022– HKUST PhD, CSE	MLLM／LLM 后训练、MoE、多模态表示 ByteDance AI Lab · Research Intern2022-01–2023-03 Alibaba Tongyi Qwen-VL · Research Intern2026-01– co-supervised with Yu Zhang
Ruping HuangPhD, CSE导师：James Tin-Yau KWOK	—	co-supervised with Yu Zhang
Yibo YanPhD student导师：James Tin-Yau KWOK	—	co-supervised with Xuming Hu
Zaifei YangPhD, CSE导师：James Tin-Yau KWOK	—
Yuyan ZhouPhD, CSE导师：James Tin-Yau KWOK	—
Ziyu ZhouPhD, CSE导师：James Tin-Yau KWOK	2026 HKUST MPhil	共同指导
Xilin CaoMPhil, CSE导师：James Tin-Yau KWOK	—
Kai Syun HouMPhil, CSE导师：James Tin-Yau KWOK	—
Weiqing XuMPhil, CSE导师：James Tin-Yau KWOK	—
Zhili Liu校友 · PhD, CSE · 2026导师：James Tin-Yau KWOK	2026 HKUST PhD, CSE
Yanbin Wei校友 · PhD, CSE · 2026导师：James Tin-Yau KWOK	2026 HKUST PhD, CSE	co-supervised with Yu Zhang
Weiyu Chen校友 · PhD, CSE · 2026导师：James Tin-Yau KWOK Google Scholar · GitHub GitHub 关注 0 Stars 0	2026 HKUST PhD 2026 HKUST PhD, CSE	扩散语言模型、高效 LLM、多目标学习 Research Assistant Professor, Hong Kong Institute of AI for Science, CityUHK
Hansi Yang校友 · PhD, CSE · 2025导师：James Tin-Yau KWOK	2025 HKUST PhD, CSE
Lifeng Shen校友 · PhD, IIP (AI) · 2024导师：James Tin-Yau KWOK	2024 HKUST PhD, IIP (AI)	副教授，重庆邮电大学人工智能学院；2024 年加入共同指导
Weisen Jiang校友 · PhD, CSE · 2024导师：James Tin-Yau KWOK Google Scholar · OpenReview	2012 South China University of Technology BEng, Automation 2015 University of Chinese Academy of Sciences MSc, Operations Research 2024 HKUST PhD, Computer Science 2024 HKUST PhD, CSE	大模型、深度学习、AI for Science Meituan · Engineer2015–2017 Tencent · Research Scientist2017–2019 Professor, South China University of Technology（2026–） co-supervised with Yu Zhang
Han Shi校友 · PhD student · 2022导师：James Tin-Yau KWOK Google Scholar · GitHub · X GitHub 关注 11 Stars 13	Tsinghua University Bachelor, Electronic Engineering 2022 HKUST PhD	生成模型、神经架构设计、AutoML Principal Researcher, Huawei Noah’s Ark Lab (Hong Kong)
Shuai Zheng校友 · PhD student · 2019导师：James Tin-Yau KWOK	2015 HKUST MPhil
Lu Hou校友 · PhD student · 2019导师：James Tin-Yau KWOK	—
Yaqing Wang校友 · PhD student · 2019导师：James Tin-Yau KWOK Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 32 GitHub 关注 1 Stars 1	—	co-supervised with Lionel Ni
Quanming Yao校友 · PhD student · 2018导师：James Tin-Yau KWOK	—
Wei Bi校友 · PhD student · 2015导师：James Tin-Yau KWOK	—
Leon Wenliang Zhong校友 · PhD student · 2014导师：James Tin-Yau KWOK	—
Kai Zhang校友 · PhD student · 2008导师：James Tin-Yau KWOK	—
Ivor Tsang校友 · PhD student · 2007导师：James Tin-Yau KWOK DBLP DBLP 近三年 217	2003 HKUST MPhil
Nai Chit Fung校友 · MPhil, CSE · 2024导师：James Tin-Yau KWOK	2024 HKUST MPhil, CSE
Jincheng Yu校友 · MPhil, CSE · 2024导师：James Tin-Yau KWOK	2024 HKUST MPhil, CSE
Runsheng Yu校友 · MPhil, CSE · 2024导师：James Tin-Yau KWOK	2024 HKUST MPhil, CSE
Lawrence Chan校友 · MPhil student · 2021导师：James Tin-Yau KWOK	—
Minsam Kim校友 · MPhil student · 2020导师：James Tin-Yau KWOK	—
Zachary William Wellmer校友 · MPhil student · 2019导师：James Tin-Yau KWOK	—
Diwen Xu校友 · MPhil student · 2018导师：James Tin-Yau KWOK	—
Xiawei Guo校友 · MPhil student · 2017导师：James Tin-Yau KWOK	—
Yihai Huang校友 · MPhil student · 2015导师：James Tin-Yau KWOK	—
Pak-Ming Cheung校友 · MPhil student · 2006导师：James Tin-Yau KWOK	—
Calvin Chu校友 · MPhil student · 2005导师：James Tin-Yau KWOK	—
CHAN, Pui HeiPhD, IIP导师：James Tin-Yau KWOK	—
DENG, ChingPhD, IIP导师：James Tin-Yau KWOK	—
ZHU, YichenPhD, CSE导师：James Tin-Yau KWOK	—
ZHU, YimingPhD, IIP (AI)导师：James Tin-Yau KWOK	—	共同指导
ANCHALPhD, IIP导师：James Tin-Yau KWOK	—	共同指导
DELIKOURA, IrisPhD, IIP导师：James Tin-Yau KWOK	—
PANG, Ching ChristiePhD, IIP导师：James Tin-Yau KWOK	—	共同指导
WU, ZePhD, IIP导师：James Tin-Yau KWOK	—	共同指导
CHEUNG, Chi SanPhD, IIP导师：James Tin-Yau KWOK	—	共同指导
TSUI, Yuk HangPhD, IIP导师：James Tin-Yau KWOK	—
HARNE, Aastha MukundMPhil, IIP导师：James Tin-Yau KWOK	—
LEE, Pak NinMPhil, CSE导师：James Tin-Yau KWOK	—
CHAI, Wen JyeMPhil, IIP导师：James Tin-Yau KWOK	—
POON, Chung HooMPhil, CSE导师：James Tin-Yau KWOK	—
Songfan LIResearch Assistant Professor · 2025导师：Mo LI	University of Electronic Science and Technology of China Ph.D. Hong Kong University of Science and Technology, China Postdoc
Wenjun LYUResearch Assistant Professor · 2026导师：Mo LI	Rutgers University Ph.D.
Yanbo ZHANGPostdoc · 2023导师：Mo LI	Harbin Institute of Technology, China B.E. Nanyang Technological University, Singapore Ph.D.
Rong DINGPostdoc · 2026导师：Mo LI	Shanghai Jiao Tong University Ph.D.
Yiyao WANPostdoc · 2026导师：Mo LI	Nanjing University of Aeronautics and Astronautics Ph.D.
Jingcan CHENPhD · 2023导师：Mo LICSE	Fudan University, China B.S.
Qirui YANGPhD · 2023导师：Mo LICSE	Tsinghua University, China B.E.
Zhuoran CHENPhD · 2024导师：Mo LICSE	Nanyang Technological University, Singapore B.E.
Mengxuan SONGPhD · 2024导师：Mo LICSE	Zhejiang University, China B.E.
Zhaoteng YEPhD · 2024导师：Mo LICSE	University of Electronic Science and Technology of China, China B.E.
Boya LIUPhD · 2025导师：Mo LICSE	Zhejiang University, China B.E. Zhejiang University, China M.E.
Zhenyu RENPhD · 2025导师：Mo LICSE	Southern University of Science and Technology, China B.E. Southern University of Science and Technology, China M.E.
Ningbo LIPhD · 2026导师：Mo LICSE	Southwest Jiaotong University B.E. Tsinghua University M.S.
Zihe LIUPhD · 2026导师：Mo LICSE	Hong Kong University of Science and Technology B.Eng.
Qing LUOPhD · 2026导师：Mo LICSE	University of Science and Technology of China, China B.E. Shanghai Jiao Tong University, China M.E.
Ko Chi SIUResearch Assistant · 2026导师：Mo LI	Hong Kong University of Science and Technology B.Eng.
Haoyu DENGPhD · 2025导师：Mo LICSE	University of Electronic Science and Technology of China B.E.
Tsz Ho FANMPhil · 2025导师：Mo LICSE	The Hong Kong University of Science and Technology B.Sc.
Chun Ming WUMPhil · 2025导师：Mo LICSE	The Hong Kong University of Science and Technology B.Sc.
Zilin ZENGMPhil · 2025导师：Mo LICSE	The Hong Kong University of Science and Technology, China B.E.
Jiahong LIUMPhil · 2026导师：Mo LICSE	Southern University of Science and Technology B.E.
Zijian WANGMPhil · 2026导师：Mo LICSE	University of Electronic Science and Technology of China B.E.
Hei Chung YAUMPhil Student · 2026导师：Mo LI	The Hong Kong University of Science and Technology, China B.Sc.
Jiayuan ZHANGMPhil · 2026导师：Mo LICSE	University of Electronic Science and Technology of China B.Eng.
Xinyue LIVisiting Student · 2026导师：Mo LI	Peking University Ph.D.
Andreas KUSTERPhD Student · 2022–2000导师：Mo LI	Swiss Federal Institute of Technology, Switzerland B.Sc. Swiss Federal Institute of Technology, Switzerland M.Sc.
Agustinus Wellson TENGOURTIUS校友 · Research Assistant · 2016–2019导师：Mo LI	—	Professional Officer @ SIT@NYP
Amalinda GAMAGE校友 · Postdoc · 2023–2024导师：Mo LI	—	Research Fellow @ National University of Singapore
Chu CAO校友 · Postdoc · 2024导师：Mo LI	—	Associate Professor @ South China University of Technology
Edward Ong Yong SENG校友 · Research Associate · 2021–2023导师：Mo LI	—	IoT Application Engineer @ Rolls Royce
Gaole DAI校友 · PhD Student · 2022–2026导师：Mo LI	—	Algorithm Engineer @ Tencent
Han HAO校友 · Visiting PhD · 2022–2023导师：Mo LI	—	PhD Student @ Xi'An Jiaotong University
Huanle ZHANG校友 · Research Assistant · 2014–2016导师：Mo LI	—	Associate Professor @ Shandong University
Huatao XU校友 · PhD Student · 2020–2024–2026导师：Mo LI	—	Senior Reseacher @ ByteDance
Hyungjun YOON校友 · Visiting PhD · 2022导师：Mo LI	—	PhD Student @ KAIST
Jansen Christian LIANDO校友 · Research Assistant · 2014–2019–2023导师：Mo LI	—	Managing Director @ BITS
Jiajue OU校友 · PhD Student · 2016导师：Mo LI	—	Scientist @ Mercurics Pte. Ltd
Jinlong E校友 · Postdoc · 2018–2019导师：Mo LI	—	Lecturer @ Renming University of China
Kaiqi LIU校友 · PhD Student · 2024导师：Mo LI	—	Data engineer @ Bytedance
Mingqian LI校友 · PhD Student · 2023导师：Mo LI	—	Postdoc @ Zhijiang Lab
Panrong TONG校友 · PhD Student · 2020–2021导师：Mo LI	—	Senior Algorithm Engineer @ DAMO Academy, City Brain Lab
Pengfei ZHOU校友 · PhD Student · 2016–2019–2021导师：Mo LI	—	Assistant Professor @ University of Pittsburgh
Qirui LIU校友 · Visiting PhD · 2022–2023导师：Mo LI	—	Postdoc @ Peking University
Shengyu LI校友 · Postdoc · 2025–2026导师：Mo LI	—	Information Security Manager @ Anker Innovation
Shiqi JIANG校友 · PhD Student · 2018导师：Mo LI	—	Senior Researcher @ Microsoft Research
Shuyu SHI校友 · Postdoc · 2016–2018导师：Mo LI	—	Research Associate Professor @ Nanjing University
Sijie JI校友 · PhD Student · 2023导师：Mo LI	—	Schmidt Science Fellow @ California Institute of Technology
Wan DU校友 · Postdoc · 2012–2017导师：Mo LI	—	Associate Professor @ UC Merced
Weiping SUN校友 · Postdoc · 2018–2020导师：Mo LI	—	Staff Engineer @ Samsung Research
Xiaoyun MO校友 · PhD Student · 2022导师：Mo LI	—	Senior Machine Learning Engineer @ OPPO Research Institute
Ya NAN校友 · PhD Student · 2024导师：Mo LI	—	Quantitative Researcher & Developer @ Abu Dhabi Investment Authority
Yaxiong XIE校友 · PhD Student · 2017–2018导师：Mo LI	—	Assistant Professor @ University at Buffalo
Yuanqing ZHENG校友 · PhD Student · 2014导师：Mo LI	—	Associate Professor @ Hong Kong Polytechnic University
Yuxiao HOU校友 · PhD Student · 2017导师：Mo LI	—	Postdoc @ Delft University
Zhenjiang LI校友 · Visiting PhD · 2010–2012–2015导师：Mo LI	—	Associate Professor @ City University of Hong Kong
Zhidan LIU校友 · Postdoc · 2015–2017导师：Mo LI	—	Associate Professor @ Shenzhen University
WANG, HaozhePhD, CSE导师：Fangzhen LIN	—
WU, YangfanPhD, CSE导师：Fangzhen LIN	—
ZHU, XiaomengPhD, CSE导师：Fangzhen LIN	—
FANG, Biqing校友 · PhD, IIP (AI) · 2026导师：Fangzhen LIN	2026 HKUST PhD, IIP (AI)
ZHU, Fengming校友 · PhD, CSE · 2026导师：Fangzhen LIN	2026 HKUST PhD, CSE
CHEN, Junming校友 · PhD, IIP (AI) · 2025导师：Fangzhen LIN	2025 HKUST PhD, IIP (AI)	共同指导
PAN, Yuxin校友 · PhD, IIP (AI) · 2025导师：Fangzhen LIN	2025 HKUST PhD, IIP (AI)
SINGH, Hitarth校友 · PhD, CSE · 2025导师：Fangzhen LIN	2025 HKUST PhD, CSE
SONG, Jaewoo校友 · PhD, CSE · 2025导师：Fangzhen LIN	2025 HKUST PhD, CSE
SHOU, Ziyi校友 · PhD, CSE · 2024导师：Fangzhen LIN	2024 HKUST PhD, CSE
WANG, Chenglin校友 · PhD, CSE · 2024导师：Fangzhen LIN	2024 HKUST PhD, CSE
LI, Meizi校友 · MPhil, CSE · 2026导师：Fangzhen LIN	2026 HKUST MPhil, CSE
WANG, Qijun校友 · MPhil, IIP (AI) · 2023导师：Fangzhen LIN	2023 HKUST MPhil, IIP (AI)	共同指导
Haodi Zhang校友 · PhD · 2016导师：Fangzhen LIN	2016 HKUST PhD	Associate Professor, Shenzhen University
Ning Ding校友 · PhD · 2014导师：Fangzhen LIN	2014 HKUST PhD	Associate Director, UBS
Pingzhong Tang校友 · PhD · 2010导师：Fangzhen LIN	2010 HKUST PhD	Founder, Turing Sense
Chiyu HaoMPhil · 2026–导师：Qiong LUOCSE Google Scholar · ORCID · GitHub GitHub 关注 0 Stars 15	2025 Shanghai Jiao Tong University BEng, Computer Science and Technology	systems and machine learning MPhil, started in 2026；本科导师 Shixuan Sun；曾随 NUS Bingsheng He、CUHK Sibo Wang 研究
Kai ChengPhD · 2025–导师：Qiong LUOCSE	—	PhD, started in 2025
Ziting WangPhD · 2025–导师：Qiong LUOCSE	—	PhD, started in 2025
Le XuPhD · 2025–导师：Qiong LUOCSE GitHub 关注 13 Stars 2	—	PhD, started in 2025
Yicheng HuPhD · 2022–导师：Qiong LUOCSE GitHub 关注 3 Stars 2	—	PhD, started in 2022
Xiaozhe RenPhD · 2020–导师：Qiong LUOCSE	—	PhD, part-time, started in 2020
Wenwei Xue校友 · PhD · 2007导师：Qiong LUO	—	Event Detection for Sensor Networks. Postdoc at National University of Singapore, Singapore.
Jing Zhao校友 · PhD · 2007导师：Qiong LUO	—	Full-Text Keyword Search in Meta-search and P2P Networks. United International College, Zhuhai, China. Co-advised by Dik Lee.
Hejun Wu校友 · PhD · 2008导师：Qiong LUO	—	Scheduling for In-Network Sensor Query Processing. Postdoc at Hong Kong Polytechnic University, Hong Kong, China SAR.
Bingsheng He校友 · PhD · 2008导师：Qiong LUO	—	Cache-Oblivious Query Processing. Microsoft Research Asia, Beijing, China.
Xiangye Xiao校友 · PhD · 2009导师：Qiong LUO	—	Efficient Co-Location Pattern Discovery. Google, USA. Co-advised by Wei-Ying Ma of Microsoft Research Asia.；MPhil 2005
Mian Lu校友 · PhD · 2012导师：Qiong LUO	—	Accelerating Genome Sequence Analysis. Agency for Science, Techonology and Research (A*STAR), Singapore.
Robin Jun Yang校友 · PhD · 2013导师：Qiong LUO	—	Efficient Transactional Database Support on Flash Solid State Drives. Agency for Science, Technology and Research (A*STAR), Singapore.
Hao Liu校友 · PhD · 2017导师：Qiong LUO	—	Cross-Column Redundancy: Concept, Detection and Application. Baidu Research, Beijing, China. Co-advised by Lionel M. Ni.
Xiaoying Jia校友 · PhD · 2017导师：Qiong LUO	—	Cross-matching Big Astronomic Catalogs On Heterogeneous Clusters. NVIDIA, Beijing, China.
Xibo Zhou校友 · PhD · 2018导师：Qiong LUO	—	Data Management and Analysis on Taxi Trajectories. BOE Technology Group, Beijing, China. Co-advised by Lionel M. Ni.
Fengchao Peng校友 · PhD · 2018导师：Qiong LUO	—	Supervised and Unsupervised Learning for Temporal Data Analysis. Huawei, Shanghai, China. Co-advised by Lionel M. Ni.
Yun Wang校友 · PhD · 2018导师：Qiong LUO	—	Generating And Authoring Narrative Visualization For Data Insight Communication. Microsoft Research Asia, Beijing, China. Co-advised by Huamin Qu.
Shuang Qiu校友 · PhD · 2019导师：Qiong LUO	—	Parallelizing De Novo Assembly with Heterogeneous Processors. DJI, Shenzhen, China.
Shixuan Sun校友 · PhD · 2020导师：Qiong LUO	—	Accelerating In-Memory Subgraph Matching on a Single Machine. Postdoc at National University of Singapore, Singapore.
Yulin Che校友 · PhD · 2020导师：Qiong LUO	—	Accelerating Graph Structural Clustering Algorithms on Heterogeneous Processors. Huawei, Shenzhen, China.
Zhuohang Lai校友 · PhD · 2020导师：Qiong LUO	—	Accelerating Data-parallel Primitives and Multi-way Joins on Heterogeneous Processors. Huawei, Shanghai, China.
Lipeng Wang校友 · PhD · 2020导师：Qiong LUO	—	Accelerating Distributed Deep Learning Tasks on Image Datasets. Tencent, Shenzhen, China.
Zonghao Feng校友 · PhD · 2022导师：Qiong LUO	—	Accelerating Sequence Alignment Algorithms On Heterogeneous Processors. Morgan Stanley, Hong Kong, China.
Chuhan Shi校友 · PhD · 2023导师：Qiong LUOCSE	2023 HKUST PhD	Human-AI Collaborative Approaches to Supporting Multi-stage, Stochastic Multi-criteria Decision Making. Southeastern University, Nanjing, China. Co-advised by Xiaojuan Ma.
Xibo Sun校友 · PhD · 2024导师：Qiong LUOCSE	2024 HKUST PhD	Accelerating Continuous Subgraph Matching on Heterogeneous Processors. Tencent, Beijing, China.
Siya Qiu校友 · PhD · 2025导师：Qiong LUOIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD	Spatio-temporal Analysis of Maritime Movement: A Multi-Perspective Study on Vessel Trajectories. Huawei, Shenzhen, China. Primary advisor: Jing Tang.；共同指导；Individualized Interdisciplinary Program
Yiran Cheng校友 · PhD · 2025导师：Qiong LUOIndividualized Interdisciplinary Program (Artificial Intelligence)	2025 HKUST PhD	Efficient HiFi Read De Novo Assembly. Huawei Lab, Hong Kong,China. Co-advised by Yangqiu Song.；Individualized Interdisciplinary Program
Ruoqi Wang校友 · PhD · 2026导师：Qiong LUO	—	Robust and Efficient Astronomical Data Reconstruction and Analysis. Institute of AI for Industries, Chinese Academy of Sciences, Nanjing, China. Co-advised by Hao Cheng.
Zhuoyang Chen校友 · PhD · 2026导师：Qiong LUO	—	Protein Function Prediction with Sequence, Structure, and Protein-Protein Interaction Information. Wuxi Biologics, Shanghai, China. Co-advised by Weichuan Yu.
Chun Yi Choi (Stephen)校友 · MPhil · 2004导师：Qiong LUO	—	Template-Based Runtime Invalidation of Database-Generated Web Contents. Morgan Stanley, Hong Kong, China SAR.
Tsz Wai Chiu校友 · MPhil · 2008导师：Qiong LUO	—	WinyDB: Collaboratively Querying Sensor Networks through Handheld Devices. Price Waterhouse Coopers, Hong Kong, China SAR.
Yinan Li校友 · MPhil · 2009导师：Qiong LUO	—	Tree Indexing on Flash Disks. PhD program at the University of Wisconsin-Madison, USA.
Wenbin Fang校友 · MPhil · 2010导师：Qiong LUO	—	Mars: Accelerating MapReduce with Graphics Processors. PhD program at the University of Wisconsin-Madison, USA.
Yuwei Tan校友 · MPhil · 2012导师：Qiong LUO	—	Accelerating Genomic Sequence Compression with Graphics Processors. PhD program at University of Southern California, USA.
Jiuxin Zhao校友 · MPhil · 2012导师：Qiong LUO	—	Accelerating Site Frequency Spectrum Estimation with Graphics Processors. GAO Advisors, Beijing, China.
Junkai Wu校友 · MPhil · 2013导师：Qiong LUO	—	Accelerating All-Pairs Shortest Path Search on GPUs. Intel Shanghai, China.
Yan Zhao校友 · MPhil · 2014导师：Qiong LUO	—	Accelerating Betweenness Centrality Computation on Heterogeneous Processors. National Center of Supercomputing, UIUC, USA.
Senhong Wang校友 · MPhil · 2014导师：Qiong LUO	—	Accelerating In-memory Cross Match of Astronomical Catalogs. Google, USA.
Baoxue Zhao校友 · MPhil · 2014导师：Qiong LUO	—	Accelerating Astronomical Source Extraction with Graphics Processors. Baidu, China.
Ge Bai校友 · MPhil · 2014导师：Qiong LUO	—	Accelerating Lossless Data Compression with Graphics Processors. Net Ease, China.
Yishui Wu校友 · MPhil · 2016导师：Qiong LUO	—	Accelerating Protein Structure Alignment With Multicore CPUs and Graphics Processors. WeBank, Shenzhen, China.
Honghao Liu校友 · MPhil · 2022导师：Qiong LUO	—	CuGRIDDER: Efficient Radio Interferometric Imaging On the GPU. DJI, Shenzhen, China. Co-advised by Yang Xiang.
Zihan Meng校友 · MPhil · 2022导师：Qiong LUO	—	SimBlockPlus: An Extended Blockchain Network Simulator for Scalability Studies. GoodNotes, London, UK. Co-advised by Yi Yang.
Yixin Liu校友 · MPhil · 2024导师：Qiong LUOCSE	2024 HKUST MPhil	Fine-Tuning Pretrained Language Models with Time Series and Textual Data for Stock Movement Prediction. Beijing Fourth Paradigm Technology, Beijing, China. Co-advised by Nan Tang.
Xin Zhang校友 · PhD · 2026导师：Qiong LUOIndividualized Interdisciplinary Program (Data Science and Analytics)	—	共同指导；；Individualized Interdisciplinary Program
Moin MotiPhD导师：Dimitris PAPADIASCSE	—
Kai WangPhD导师：Dimitris PAPADIASCSE	2023 HKUST MPhil
Nikos Mamoulis校友 · PhD导师：Dimitris PAPADIAS DBLP · ORCID · OpenAlex DBLP 近三年 31 OpenAlex 近三年 33 引用 12,244 h-index 58	—	Honorary Professor, HKU；Professor, University of Ioannina
Panos Kalnis校友 · PhD导师：Dimitris PAPADIAS	—	Professor, KAUST
Yufei Tao校友 · PhD导师：Dimitris PAPADIAS	—	Professor, CUHK
Jun Zhang校友 · PhD导师：Dimitris PAPADIAS	—	原任 NTU Assistant Professor；Tencent Cloud Chief Architect / Principal Engineer
Kyriakos Mouratidis校友 · PhD导师：Dimitris PAPADIAS DBLP · ORCID · OpenAlex DBLP 近三年 9 OpenAlex 近三年 9 引用 3,534 h-index 26	—	Professor, Singapore Management University
Alexander Markowetz校友 · PhD导师：Dimitris PAPADIAS	—	首次任职 University of Bonn Assistant Professor
Yin (David) Yang校友 · PhD导师：Dimitris PAPADIAS DBLP · ORCID · OpenAlex DBLP 近三年 46 OpenAlex 近三年 53 引用 8,063 h-index 53	—	Associate Professor, Hamad Bin Khalifa University
Stavros Papadopoulos校友 · PhD导师：Dimitris PAPADIAS	—	原 Intel/MIT Big Data Lab Senior Research Scientist；TileDB founder
George Kellaris校友 · PhD导师：Dimitris PAPADIAS	—	原 Harvard CRCS postdoc；Lerna co-founder
Nikos Armenatzoglou校友 · PhD导师：Dimitris PAPADIAS	—	Senior Engineering Manager, Databricks
Panos Parchas校友 · PhD导师：Dimitris PAPADIAS	—	Software Development Manager, AWS Germany
Lefteris Ntaflos校友 · PhD导师：Dimitris PAPADIAS	—	Head of Training, ITCS Group Hong Kong
Ze WuPhD导师：Dimitris PAPADIASIIP	—	；Individualized Interdisciplinary Program
Dimitrios TsarasPhD导师：Dimitris PAPADIASCSE	—
Cheuk Yuen WongMPhil导师：Dimitris PAPADIASCSE	—
Teck Kwang TanMPhil导师：Dimitris PAPADIASCSE	—
Weizhen Ding校友 · MPhil · 2023导师：Dimitris PAPADIASCSE	—
Max Prior校友 · MPhil · 2023导师：Dimitris PAPADIASCSE	—
JIN, BuPhD, CSE导师：Long QUAN	—
HAO, DehaoPhD, CSE导师：Long QUAN	—
GAO, XiangjunPhD, CSE导师：Long QUAN	—
ZHANG, KaiyiPhD, CSE导师：Long QUAN	—
CHEN, Hongkai校友 · PhD, CSE · 2023导师：Long QUAN	2023 HKUST PhD, CSE
HUANG, Zhuofei校友 · MPhil, CSE · 2023导师：Long QUAN	2023 HKUST MPhil, CSE	共同指导
Honghui Zhang校友 · PhD · 2012导师：Long QUAN	2012 HKUST PhD	CTO, Muxin
Ping Tan校友 · PhD · 2007导师：Long QUAN	2007 HKUST PhD	Professor, HKUST
Gang Zeng校友 · PhD · 2006导师：Long QUAN	2006 HKUST PhD	Researcher, Peking University
Jingdong Wang校友 · VisGraph research alumnus导师：Long QUAN	—
Yichen Wei校友 · VisGraph research alumnus导师：Long QUAN	—
Jianxiong Xiao校友 · VisGraph research alumnus导师：Long QUAN	—
Lu Yuan校友 · VisGraph research alumnus导师：Long QUAN	—
Peng Zhao校友 · VisGraph research alumnus导师：Long QUAN	—
Jenson LeePh.D. · 2025-present导师：Pedro SANDER	—	co-advised by Ajay Joneja
Yunfan ZengPhD, CSE · 2024-present导师：Pedro SANDER	—
Xuezhen WangPhD, CSE · 2024-present导师：Pedro SANDER	—
Li Ma校友 · PhD, CSE · 2019–2023导师：Pedro SANDER	2023 HKUST PhD, CSE	Netflix
Rui HuPhD, IIP · 2021-present导师：Pedro SANDER	—
Xiaoyu Li校友 · Ph.D. · 2017-2021导师：Pedro SANDER	—	Tencent
Bo Zhang校友 · Ph.D. · 2015-2019导师：Pedro SANDER	—	Microsoft Research co-advised by Amine Bermak
Weidan Xiong校友 · Ph.D. · 2014-2019导师：Pedro SANDER	—	NTU Singapore co-advised by Ajay Joneja
Songfang Han校友 · Ph.D. · 2014-2019导师：Pedro SANDER 简历 · GitHub · Google Scholar · LinkedIn GitHub 关注 166 Stars 48	2013 Tongji University BS, Electrical Engineering	三维几何处理、重建、渲染与虚拟现实 SenseTime · Research Intern2017 秋季 Postdoctoral Researcher, UC San Diego SULab（2020-04 起）
Mingming He校友 · Ph.D. · 2015-2018导师：Pedro SANDER	—	USC postdoc
Ge Chen校友 · Ph.D. · 2010-2017导师：Pedro SANDER	—	J.P. Morgan
Jing Liao校友 · Ph.D. · 2011-2015导师：Pedro SANDER	—	Microsoft Research, Assistant Professor at City Univ of HK
Lei Yang校友 · Ph.D. · 2007-2011导师：Pedro SANDER	—	GPU 图形架构、实时渲染与抗锯齿 GPU Graphics Architect, NVIDIA
Hongwei Li校友 · Ph.D. · 2008-2010导师：Pedro SANDER	—	Microsoft co-advised by Philip Fu
Seoyoung JeongMPhil, CSE · 2025-present导师：Pedro SANDER	—	co-advised by Sai Kit Yeung；共同指导
Lingyi Feng校友 · M.Phil. · 2020-2024导师：Pedro SANDER	—	co-advised by Mingming Fan
Samarth Uttam校友 · M.Phil. · 2021-2023导师：Pedro SANDER	—	co-advised by Ajay Joneja
Yutong Zhao校友 · M.Phil. · 2019-2021导师：Pedro SANDER	2019–2021 HKUST MPhil	co-advised by Ajay Joneja
Zhaohua Li校友 · M.Phil. · 2012-2014导师：Pedro SANDER	—
Kenneth Tse校友 · M.Phil. · 2008-2010导师：Pedro SANDER	—	Mobile game developer in HK
Xuxiang Lin校友 · M.Phil. · 2008-2010导师：Pedro SANDER	—	Credit Suisse
Liang Hu校友 · M.Phil. · 2006-2009导师：Pedro SANDER	—	Google
Ryusuke Sugimoto校友 · B.Sc. / B.Eng. · 2018-2019导师：Pedro SANDER	—	Toronto
Yue Yu校友 · B.Sc. / B.Eng. · 2010-2011导师：Pedro SANDER	—	Stanford
Jingwan Lu校友 · B.Sc. / B.Eng. · FYT 2008-2009导师：Pedro SANDER	—	Princeton
Alex Yau校友 · B.Sc. / B.Eng. · FYT 2007-2008导师：Pedro SANDER	—	HKUST
Jiahe Xi校友 · B.Sc. / B.Eng. · 2007导师：Pedro SANDER	Zhejiang University	Oxford
Rui Fang校友 · B.Sc. / B.Eng. · FYT 2006-2007导师：Pedro SANDER	—	co-advised by Qiong Luo
Diego Nehab校友 · ATI Research Intern · Summer, 2005导师：Pedro SANDER	—
Joshua Barczak校友 · ATI Research Intern · Summer, 2005导师：Pedro SANDER	2003 University of Maryland, Baltimore County BS, Computer Science 2006 University of Maryland, Baltimore County MS, Computer Science	图形渲染、着色器与游戏引擎 ATI Research · Research Intern2005 夏季
ZHANG, FanxingPhD, Integrative Systems and Design导师：Pedro SANDER	—	共同指导
FUNG, Hei YuenMPhil, CSE导师：Pedro SANDER	—
HSU, Li-hsiuMPhil, CSE导师：Pedro SANDER	—
KOBUS CONRADO, Giovanna校友 · PhD, CSE · 2025导师：Pedro SANDER	2025 HKUST PhD, CSE
WANG, Sheng校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025导师：Pedro SANDER	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)
Yutong Zhao校友 · MPhil · 2011–2012导师：Pedro SANDER	2011–2012 HKUST MPhil
OLSSON, Christopher SvenPhD, Mechanical Engineering导师：Chi-Keung TANG	—	共同指导
TO, Tuan AnMPhil, CSE导师：Chi-Keung TANG	—	共同指导
TSE, Wai ChungMPhil, CSE导师：Chi-Keung TANG	—	共同指导
ZHAO, YuboMPhil, CSE导师：Chi-Keung TANG	—
LIU, Xinhang校友 · PhD, CSE · 2026导师：Chi-Keung TANG	2026 HKUST PhD, CSE
JI, Wen校友 · PhD, CSE · 2025导师：Chi-Keung TANG	2025 HKUST PhD, CSE	共同指导
FAN, Qi校友 · PhD, CSE · 2023导师：Chi-Keung TANG	2023 HKUST PhD, CSE	Associate Professor, Nanjing University
KE, Lei校友 · PhD, CSE · 2023导师：Chi-Keung TANG	2023 HKUST PhD, CSE	Senior Research Scientist, NVIDIA
SUN, Yanan校友 · PhD, CSE · 2023导师：Chi-Keung TANG	2023 HKUST PhD, CSE
TSANG, Siu Chung校友 · PhD, CSE · 2023导师：Chi-Keung TANG	2023 HKUST PhD, CSE	共同指导
KAO, Shiu-hong校友 · MPhil, CSE · 2025导师：Chi-Keung TANG	2025 HKUST MPhil, CSE
LIU, Yichen校友 · MPhil, CSE · 2024导师：Chi-Keung TANG	2024 HKUST MPhil, CSE
ZHANG, Hao校友 · MPhil, CSE · 2024导师：Chi-Keung TANG	2024 HKUST MPhil, CSE
Jia Chen校友 · PhD · 2009导师：Chi-Keung TANG	2009 HKUST PhD	Head of Data Science, Integrity and Core Experience, Grab
Jiaya Jia校友 · PhD · 2004导师：Chi-Keung TANG	2004 HKUST PhD	Chair Professor, HKUST
Shangzhe Wu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Assistant Professor, University of Cambridge CV 列为本科研究指导对象；所列机构为后续升学去向。 CV 同时列出其后续任职。
Yufan Deng校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	DPhil, University of Oxford CV 列为本科研究指导对象；所列机构为后续升学去向。
Yuhao Zhang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, Imperial College London CV 列为本科研究指导对象；所列机构为后续升学去向。
Mikaela Angelina C. Uy校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Qifeng Chen校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Associate Professor, HKUST CV 列为本科研究指导对象；所列机构为后续升学去向。 CV 同时列出其后续任职。
Haoye Cai校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Guanzhi Wang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Xiaoyuan Ni校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Tianyuan Dai校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Haozhi Qi校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Assistant Professor, University of Chicago CV 列为本科研究指导对象；所列机构为后续升学去向。 CV 同时列出其后续任职。
Yuyao Zhang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, Dartmouth College CV 列为本科研究指导对象；所列机构为后续升学去向。
Jihoon Chung校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, Princeton University CV 列为本科研究指导对象；所列机构为后续升学去向。
Hei Law校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Princeton University CV 列为本科研究指导对象；所列机构为后续升学去向。
Linguang Zhang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, Princeton University CV 列为本科研究指导对象；所列机构为后续升学去向。
Dingzeyu Li校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, Columbia University CV 列为本科研究指导对象；所列机构为后续升学去向。
Hsuan-ru Yang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, Columbia University CV 列为本科研究指导对象；所列机构为后续升学去向。
Qiao Gu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Haoyang Fang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Chunyan Bai校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Heshen Liu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Ji Liu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Lin Zhang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Cheng-hsin Wuu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Boyu Liu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Ziyan Zheng校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Lucen Zhao校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Rui Yan校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Hengyuan Hu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Rui Peng校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Yushi Sun校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Benren Hu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Junkai Huang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Yanbo Xu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Jianmeng Liu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Juntao Zhang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Qi Wu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Han Jiang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Texas at Austin CV 列为本科研究指导对象；所列机构为后续升学去向。
Ho Kei Cheng校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Illinois Urbana-Champaign CV 列为本科研究指导对象；所列机构为后续升学去向。
Xiang Li校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Illinois Urbana-Champaign CV 列为本科研究指导对象；所列机构为后续升学去向。
Jiarui Xu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, UC San Diego CV 列为本科研究指导对象；所列机构为后续升学去向。
Shaopeng Guo校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, UC San Diego CV 列为本科研究指导对象；所列机构为后续升学去向。
Abhishek Gupta校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, UC San Diego CV 列为本科研究指导对象；所列机构为后续升学去向。
Yanzhao Wang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, UCLA CV 列为本科研究指导对象；所列机构为后续升学去向。
Huaiqian Liu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, University of Washington CV 列为本科研究指导对象；所列机构为后续升学去向。
Shaoyu Chen校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, New York University CV 列为本科研究指导对象；所列机构为后续升学去向。
Xiaohui Zeng校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Toronto CV 列为本科研究指导对象；所列机构为后续升学去向。
Zhenmei Shi校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Wisconsin–Madison CV 列为本科研究指导对象；所列机构为后续升学去向。
Hang Yin校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Wisconsin–Madison CV 列为本科研究指导对象；所列机构为后续升学去向。
Ruida Wang校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Wisconsin–Madison CV 列为本科研究指导对象；所列机构为后续升学去向。
Hao Wu校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Wisconsin–Madison CV 列为本科研究指导对象；所列机构为后续升学去向。
Dehao Yuan校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	PhD, University of Maryland CV 列为本科研究指导对象；所列机构为后续升学去向。
Haosen Sun校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, Northwestern University CV 列为本科研究指导对象；所列机构为后续升学去向。
Yinwei Du校友 · Undergraduate research mentee导师：Chi-Keung TANG	—	MS, ETH Zurich CV 列为本科研究指导对象；所列机构为后续升学去向。
Yu-Wing Tai校友 · Graduate mentee导师：Chi-Keung TANG	—	Associate Professor, Dartmouth College
Sai Kit Yeung校友 · Graduate mentee导师：Chi-Keung TANG	—	Professor, HKUST
Cewu Lu校友 · Graduate mentee导师：Chi-Keung TANG	—	Professor, Shanghai Jiao Tong University
Yin Li校友 · VisGraph research alumnus导师：Chi-Keung TANG	—
Heung Sun Ng校友 · VisGraph research alumnus导师：Chi-Keung TANG	—
Ruonan Pu校友 · VisGraph research alumnus导师：Chi-Keung TANG	—
Dickson Wai Shun Tong校友 · VisGraph research alumnus导师：Chi-Keung TANG	—
Tai-Pang Wu校友 · VisGraph research alumnus导师：Chi-Keung TANG	—
Jinhao Zhu校友 · VisGraph research alumnus导师：Chi-Keung TANG	—
Bingnan ChenPhD · 2021导师：Ke YICSE	—	PhD, since Fall 2021
Zijun ChenPhD · 2022导师：Ke YICSE	—	PhD, since Fall 2022; co-advised with Nian Si
Binyang DaiPhD · 2022导师：Ke YICSE	—	PhD, since Fall 2022
Jianzhe YuPhD · 2023导师：Ke YICSE	—	PhD, since Fall 2023
Tian ShuPhD · 2024导师：Ke YICSE	—	PhD, since Fall 2024
Qi DongPhD · 2024导师：Ke YICSE	2026 HKUST MPhil	PhD, since Fall 2024
Zifei LiuMPhil · 2025导师：Ke YICSE	—	MPhil, since Spring 2025
Xiaoyu HanPhD · 2025导师：Ke YICSE	—	PhD, since Fall 2025
Yik Long TseMPhil · 2026导师：Ke YICSE	—	MPhil, since Fall 2026
Han YinPhD · 2026导师：Ke YICSE	—	PhD, since Fall 2026; co-advised with Lei Chen
Yuting Liang校友 · PhD 2025 · 2025导师：Ke YICSE	2025 HKUST PhD	Postdoctal Fellow at University of Toronto PhD 2025; now Postdoctal Fellow at University of Toronto
Dajun Sun校友 · PhD 2025 · 2025导师：Ke YICSE	2025 HKUST PhD	Researcher at Huawei Hong Kong Research Center PhD 2025; now Researcher at Huawei Hong Kong Research Center
Juanru Fang校友 · PhD 2025 · 2025导师：Ke YICSE GitHub GitHub 关注 0 Stars 2	2025 HKUST PhD	Assistant Lecturer at University of Hong Kong PhD 2025; now Assistant Lecturer at University of Hong Kong
Qiyao Luo校友 · PhD 2024 · 2024导师：Ke YICSE	2024 HKUST PhD	Researcher at Ant Group PhD 2024; now Researcher at Ant Group
Wei Dong校友 · PhD 2023 · 2023导师：Ke YICSE	2023 HKUST PhD	Assistant Professor at Nanyang Technological University PhD 2023; SIGMOD Jim Gray Doctoral Dissertation Award Runner-up; now Assistant Professor at Nanyang Technological University
Qichen Wang校友 · PhD 2022 · 2022导师：Ke YI	—	Assistant Professor at Nanyang Technological University PhD 2022; now Assistant Professor at Nanyang Technological University
Yuan Qiu校友 · PhD 2022 · 2022导师：Ke YI LinkedIn · GitHub · DBLP · ORCID · Google Scholar DBLP 近三年 7 GitHub 关注 17 Stars 4	—	Professor at Southeast University PhD 2022; now Professor at Southeast University
Yilei Wang校友 · PhD 2022 · 2022导师：Ke YI Google Scholar · GitHub GitHub 关注 32 Stars 418	—	Research Scientist at Alibaba Cloud PhD 2022; now Research Scientist at Alibaba Cloud
Ziyue Huang校友 · PhD 2022 · 2022导师：Ke YI	—	at Tencent PhD 2022; now at Tencent
Xiao Hu校友 · PhD 2019 · 2019导师：Ke YI	—	Assistant Professor at University of Waterloo PhD 2019; now Assistant Professor at University of Waterloo
Yu Chen校友 · PhD 2019 · 2019导师：Ke YI	—	at Alibaba Cloud PhD 2019; now at Alibaba Cloud
Bin Wu校友 · PhD 2017 · 2017导师：Ke YI	—	Senior Technology Research Expert at Alibaba Cloud PhD 2017; now Senior Technology Research Expert at Alibaba Cloud
Di Chen校友 · PhD 2017 · 2017导师：Ke YI	—	at Virtu Financial, Singapore PhD 2017; co-advised with Mordecai Golin; now at Virtu Financial, Singapore
Han Xu校友 · PhD 2016 · 2016导师：Ke YI	—	at Huawei PhD 2016; co-advised with Yunhao Liu; now at Huawei
Ge Luo校友 · PhD 2016 · 2016导师：Ke YI	—	Chief Scientist at DataYes PhD 2016; now Chief Scientist at DataYes
Lu Wang校友 · PhD 2015 · 2015导师：Ke YI GitHub GitHub 关注 1,228 Stars 16,124	—	at Google Switzerland PhD 2015; now at Google Switzerland
Xiaoyu Ji校友 · PhD 2015 · 2015导师：Ke YI	—	Professor at Zhejiang University PhD 2015; co-advised with Yunhao Liu; now Professor at Zhejiang University
Longfei Shangguan校友 · PhD 2015 · 2015导师：Ke YI Google Scholar · LinkedIn · X · GitHub GitHub 关注 10 Stars 7	—	Associate Professor at University of Pittsburgh PhD 2015; co-advised with Yunhao Liu; now Associate Professor at University of Pittsburgh
Zengfeng Huang校友 · PhD 2013 · 2013导师：Ke YI GitHub GitHub 关注 1 Stars 0	—	Professor at Fudan University PhD 2013; now Professor at Fudan University
Zhewei Wei校友 · PhD 2012 · 2012导师：Ke YI	—	Professor at Renmin University PhD 2012; now Professor at Renmin University
Qin Zhang校友 · PhD 2011 · 2011导师：Ke YI	—	Professor at Indiana University Bloomington PhD 2011; co-advised with Mordecai Golin; now Professor at Indiana University Bloomington
Haoqian Zhang校友 · MPhil 2019 · 2019导师：Ke YI	—	PhD student at EPFL MPhil 2019; now PhD student at EPFL
Junhong Cao校友 · MPhil 2019 · 2019导师：Ke YI	—	at Lyft MPhil 2019; now at Lyft
Serafeim Papadias校友 · MPhil 2018 · 2018导师：Ke YI	—	at Athena Research Center MPhil 2018; now at Athena Research Center
Dexter Lee校友 · MPhil 2018 · 2018导师：Ke YI	—	MPhil 2018
Wai Ming Tai校友 · MPhil 2015 · 2015导师：Ke YI	—	at Huawei Singapore MPhil 2015; now at Huawei Singapore
Hao Liu校友 · MPhil 2014 · 2014导师：Ke YI Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 110 GitHub 关注 54 Stars 2	—	Associate Professor at HKUST-GZ MPhil 2014; now Associate Professor at HKUST-GZ
Ching-Hin Lau校友 · MPhil 2009 · 2009导师：Ke YI	—	MPhil 2009
Wenqi Zhu校友 · MPhil 2008 · 2008导师：Ke YI	—	MPhil 2008
Konstantinos Tsakalidis校友 · Postdoc 2012 ~ 2013 · 2012–2013导师：Ke YI	—	Lecturer at University of Liverpool Postdoc 2012 ~ 2013; now Lecturer at University of Liverpool
Chi Hoi Yip校友 · Final-year thesis 2019 · 2019导师：Ke YI	—	Assistant Professor at HKUST Final-year thesis 2019; now Assistant Professor at HKUST
Xiao Wang校友 · Final-year thesis 2013 · 2013导师：Ke YI 简历 · Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 59 GitHub 关注 243 Stars 73	—	Associate Professor at Northwestern University Final-year thesis 2013; now Associate Professor at Northwestern University
Zhepeng Yan校友 · Final-year thesis 2010 · 2010导师：Ke YI	—	at Google US Final-year thesis 2010; now at Google US
Shuqing Wei校友 · PhD · 2024导师：Ke YIIndividualized Interdisciplinary Program (Intelligent Transportation)	—	共同指导；；Individualized Interdisciplinary Program
Chengfeng YePhD导师：Charles ZHANGCSE	—
Bowen ZhangPhD导师：Charles ZHANGCSE	—
Yibo JinPhD导师：Charles ZHANGCSE	—
Wei ChenPhD导师：Charles ZHANGCSE	—
Sixiang PengPhD导师：Charles ZHANGCSE	—
Shuhao FuPhD导师：Charles ZHANGCSE	—
Xiang ChenPhD导师：Charles ZHANGCSE	—
Chenyang SunPhD导师：Charles ZHANGCSE	—
Qi ZhangPhD导师：Charles ZHANGCSE	—
Yuanchen GaoPhD导师：Charles ZHANGCSE	—
Maryam Masoudian校友 · PhD导师：Charles ZHANGCSE	2026 HKUST PhD	Postdoc, University of Auckland
Anshunkang Zhou校友 · PhD导师：Charles ZHANGCSE	2025 HKUST PhD	Postdoc, HKUST
Yiyuan Guo校友 · PhD导师：Charles ZHANGCSE	2025 HKUST PhD	Huawei
Hao Ling校友 · PhD导师：Charles ZHANGCSE	2025 HKUST PhD	Tencent
Wensheng Tang校友 · PhD导师：Charles ZHANGCSE	2024 HKUST PhD	Huawei
Chengpeng Wang校友 · PhD导师：Charles ZHANGCSE	2023 HKUST PhD	Assistant Professor, NUS
Yuandao Cai校友 · PhD导师：Charles ZHANGCSE	2023 HKUST PhD	Huawei
Heqing Huang校友 · Postdoc导师：Charles ZHANG X · GitHub · Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 21 OpenAlex 近三年 23 引用 441 h-index 11 GitHub 关注 93 Stars 113	—	Assistant Professor, CityU Hong Kong
Peisen Yao校友 · PhD导师：Charles ZHANG	—	Assistant Professor, Zhejiang University
Jiajun Gong校友 · PhD导师：Charles ZHANGCSE	2023 HKUST PhD	Postdoc, NUS
Kexin Ma校友 · MPhil导师：Charles ZHANG	—
Qingkai Shi校友 · PhD导师：Charles ZHANG Google Scholar · DBLP · ORCID · X · GitHub · OpenAlex DBLP 近三年 30 OpenAlex 近三年 35 引用 1,341 h-index 17 GitHub 关注 132 Stars 87	—	Ant Financial
Gang Fan校友 · PhD导师：Charles ZHANG	—	SourceBrella Staff Engineer；后加入 Ant Financial
Rongxin Wu校友 · Postdoc导师：Charles ZHANG	—	Associate Professor, Xiamen University
Yepang Liu校友 · Postdoc导师：Charles ZHANG	—	Associate Professor, SUSTech
Richard Xiao校友 · PhD / Postdoc导师：Charles ZHANG	—	SourceBrella founder and CEO；后加入 Ant Financial
Jinguo (Andy) Zhou校友 · Postdoc导师：Charles ZHANG	—	SourceBrella co-founder；后加入 Ant Financial
Qirun Zhang校友 · Postdoc导师：Charles ZHANG	—	Associate Professor, Georgia Tech
Peng Liu校友 · PhD导师：Charles ZHANG	—	Researcher, IBM T.J. Watson
Jeff Huang校友 · PhD导师：Charles ZHANG	—	Professor, Texas A&M
Lingjie Huang校友 · MPhil导师：Charles ZHANG	—
Yushan Zhang校友 · MPhil导师：Charles ZHANG	—	Software Engineer, Tencent
Bin Xu校友 · MPhil导师：Charles ZHANG	—	Software Engineer, Facebook
Fan Yu校友 · MPhil导师：Charles ZHANG	—	Software Engineer, Pinduoduo
Pingjiang LiPhD导师：Charles ZHANGCSE	—
Hung-chun Chiu校友 · MPhil · 2026导师：Charles ZHANGCSE	—
Bangyan Du校友 · MPhil · 2025导师：Charles ZHANGCSE	—
TONG HaoweiPhD, CSE导师：Nevin Lianwen ZHANG	—	AI for Structural Biology
Wang JianmingPhD, CSE导师：Nevin Lianwen ZHANG	—	AI for Healthcare
CHEN Hsi ChenMPhil, CSE导师：Nevin Lianwen ZHANG	—	AI for Structural Biology
Kaican LiPhD, CSE导师：Nevin Lianwen ZHANG	—	Domain generalization, generative models, agentic AI
XIE Weiyan校友 · PhD, CSE · 2026导师：Nevin Lianwen ZHANG	2026 HKUST PhD, CSE	XAI, generative models, agentic AI
Lin ZhiPhD, CSE导师：Nevin Lianwen ZHANG	—	Reinforcement Learning for Robotics
WEI YuePhD, CSE导师：Nevin Lianwen ZHANG	—	HCI
ZHOU Xingzhi校友 · PhD, CSE · 2025导师：Nevin Lianwen ZHANG	2025 HKUST PhD, CSE	Huawei, Hong Kong
ZHAO Yinxiu校友 · PhD, IIP (AI) · 2024导师：Nevin Lianwen ZHANG	2024 HKUST PhD, IIP (AI)	Alibaba 共同指导
Dongkyu Lee校友 · PhD, CSE · 2023导师：Nevin Lianwen ZHANG	2023 HKUST PhD, CSE	Amazon, New York
JAUNG Stefan校友 · MPhil, CSE · 2023导师：Nevin Lianwen ZHANG	2023 HKUST MPhil, CSE	Ontra , New Jersey
TIAN Zhiliang校友 · PhD (2022 · 2022导师：Nevin Lianwen ZHANG	—	National Defense University
Xue Lanqing校友 · PhD (2021 · 2021导师：Nevin Lianwen ZHANG	—	Ant Financial Services Group Shanghai
LAM Wing Tung校友 · MPhil · 2021导师：Nevin Lianwen ZHANG	—
Farhan Khawar校友 · PhD (2020 · 2020导师：Nevin Lianwen ZHANG	—
Chen Zhourong校友 · PhD (2019 · 2019导师：Nevin Lianwen ZHANG	—	Bytedance Shanghai, formerly at Google USA
Li Xiaopeng校友 · PhD (2019 · 2019导师：Nevin Lianwen ZHANG LinkedIn · GitHub GitHub 关注 39 Stars 244	2019 HKUST PhD, CSE	代码 LLM、生成式 AI、Amazon CodeWhisperer 与 Amazon Q Google Cloud AI · Research Intern2018 Senior Applied Scientist, Amazon AWS
Leung Chun Fai校友 · MPhil (2018 · 2018导师：Nevin Lianwen ZHANG	—	Hong Kong Startup
Chen Peixian校友 · PhD · 2017导师：Nevin Lianwen ZHANG	—	Shanghai, Ant Financial Services Group
Liu April Hua校友 · PhD · 2015导师：Nevin Lianwen ZHANG	—	Assistant Professor, Shanghai University of Finance and Economics
Liu Tengfei校友 · PhD · 2015导师：Nevin Lianwen ZHANG	—	Senior Data Mining Engineer, Ant Financial Services Group
Leonard Kin Man Poon校友 · PhD · 2012导师：Nevin Lianwen ZHANG	—	Machine Learning Scientist, Barings, London
Wang Yi校友 · PhD · 2009导师：Nevin Lianwen ZHANG	—	Staff Technologist, Rolls-Royce, Singapore
Chen Tao校友 · PhD · 2008导师：Nevin Lianwen ZHANG	—	Director of Security and Risk Management, Ant Financial Service Group
Sam P. M. Choi校友 · PhD导师：Nevin Lianwen ZHANG	—	Assistant Professor, Hong Kong Open University
Weihong Zhang校友 · PhD导师：Nevin Lianwen ZHANG	—	CEO, Cmind , Boston
Haipeng Guo校友 · Postdoc导师：Nevin Lianwen ZHANG	—	Professor, Computer Science and Technology, United International College, Zhuhai
Zhang Jianfeng校友 · visiting scholar 2017 · 2017导师：Nevin Lianwen ZHANG	—
Zhou Xuezhong校友 · visiting scholar 2016 · 2016导师：Nevin Lianwen ZHANG	—
Wang Xiaofei校友 · visiting scholar 2014 · 2014导师：Nevin Lianwen ZHANG	—
Xu Zhaoxia校友 · visiting scholar 2012 · 2012导师：Nevin Lianwen ZHANG	—
Chen Mingxing校友 · MPhil导师：Nevin Lianwen ZHANG	—
Li Yan校友 · MPhil导师：Nevin Lianwen ZHANG	—
Hua Dong校友 · MPhil导师：Nevin Lianwen ZHANG	—
Lee Siu Shan Stephen校友 · MPhil导师：Nevin Lianwen ZHANG	—
Wenju Liu校友 · Postdoc导师：Nevin Lianwen ZHANG	—
CAO, ZhenxiaoPhD, CSE导师：Nevin Lianwen ZHANG	—
TALHA, MuhammadPhD, CSE导师：Nevin Lianwen ZHANG	—
WANG, ZhuomaPhD, IIP (Advanced Materials)导师：Nevin Lianwen ZHANG	—	共同指导
WANG, Xiasi校友 · PhD, IIP (Data Science and Analytics) · 2026导师：Nevin Lianwen ZHANG	2026 HKUST PhD, IIP (Data Science and Analytics)	共同指导
LIU, Xuantong校友 · PhD, IIP (Data Science and Analytics) · 2025导师：Nevin Lianwen ZHANG	2025 HKUST PhD, IIP (Data Science and Analytics)	共同指导
Waheed Gameel Gadallah GhaliJoint PhD导师：Brahim BENSAOUCSE	Assiut University BSc, Information Technology Assiut University MSc, Information Technology	wireless and data-centre networking 与 QMUL Ahmed M. A. Sayed 联合指导
Ahmed M. A. Sayed (Ahmed M. Abdelmoniem)校友 · PhD导师：Brahim BENSAOU	HKUST PhD, CSE	networked and distributed systems Associate Professor, Queen Mary University of London；此前 Huawei HK Senior Researcher、KAUST Research Scientist
Jiaqi TangPhD, ECE · 2025–导师：Qifeng CHEN Google Scholar · GitHub · LinkedIn · X · DBLP · ORCID · OpenAlex DBLP 近三年 29 OpenAlex 近三年 19 引用 17 h-index 1 GitHub 关注 34 Stars 860	2022 Northwestern Polytechnical University BEng, Data Science and Big Data Technology 2025 HKUST (Guangzhou) MPhil, AI 2025– HKUST PhD, ECE	LLM、多模态长时推理、递归改进、稳健性与安全 Tencent Hunyuan (LLM) · Research Intern Tencent Hunyuan (Multimodal RL) · Research Intern DeepRoute · Research Intern Sony · Research Intern Alibaba ATH · Research Intern SmartMore · Research Intern
Hanlin WangPhD, CSE导师：Qifeng CHEN	—
Xuanhua HePhD, CSE导师：Qifeng CHEN	The Hong Kong University of Science and Technology PhD in Computer Science and Engineering
I Chieh ChenPhD, CSE导师：Qifeng CHEN	—
Yue MaPhD, CSE导师：Qifeng CHEN GitHub · LinkedIn · Google Scholar GitHub 关注 605 Stars 3,992	Taiyuan University of Technology BEng, Computer Science 2024 Tsinghua University MS, Computer Science	图像视频生成、世界模型与可控 AIGC Meta · Research Intern Baidu · Research Intern Tencent AI Lab · Research Intern Tencent Hunyuan · Research Intern
Runyi YuPhD, CSE导师：Qifeng CHEN GitHub · Google Scholar GitHub 关注 102 Stars 351	2021 Beijing Normal University Bachelor 2024 Peking University Master	人形机器人、物理动画、视觉生成 Microsoft Research Asia · Research Intern
Zichen LiuPhD, CSE · 2023–导师：Qifeng CHEN GitHub GitHub 关注 109 Stars 518	2023 HKUST BSc, Data Science and Technology 2023–2027 expected HKUST PhD, CSE	交互式图像编辑、可控生成、实时视觉与世界模型 Apple · Machine Learning Engineer Intern2023-06–2023-08 Ant Group · Research Intern2024-06–
Trung Kien PhamPhD, CSE导师：Qifeng CHEN DBLP · ORCID · OpenAlex DBLP 近三年 9 OpenAlex 近三年 2 引用 0 h-index 0	HKUST BSc, Data Science and Computer Science 2024 HKUST MPhil 2024 HKUST MPhil, CSE	扩散模型、图像组合、视频生成 GMO-Z.com RUNSYSTEM · AI Intern2020-03–2020-05 viAct · AI Trainee2021-03–2021-08 co-supervised with Long Chen；共同指导
Nicholas ChanPhD, ECE导师：Qifeng CHEN	—
Yuen-Fui LauPhD, CSE导师：Qifeng CHEN	2024 HKUST MPhil
Zhefan RaoPhD, CSE导师：Qifeng CHEN	2023 HKUST MPhil
Zhaoyang LiuPhD, CSE导师：Qifeng CHEN	—
Qingyan BaiPhD, CSE导师：Qifeng CHEN	—
Na FanPhD, CSE导师：Qifeng CHEN	—
Guotao Meng校友 · PhD, ECE · 2026导师：Qifeng CHEN	2026 HKUST PhD, ECE
Hongyu Liu校友 · PhD, CSE · 2026导师：Qifeng CHEN Google Scholar · GitHub · X GitHub 关注 165 Stars 1,055	2026 HKUST PhD, CSE	视频生成、世界模型后训练、人本多模态空间智能
Zian QianPhD, CSE导师：Qifeng CHEN	2022 HKUST MPhil
Runtao Liu校友 · PhD, CSE · 2026导师：Qifeng CHEN	2026 HKUST PhD, CSE
Zhili Chen校友 · PhD, CSE · 2026导师：Qifeng CHEN	2026 HKUST PhD, CSE
Qiang Wen校友 · PhD, CSE · 2026导师：Qifeng CHEN	2026 HKUST PhD, CSE
Tianjia ZhangPhD, IIP导师：Qifeng CHEN	—
Ka Leong Cheng校友 · PhD, CSE · 2025导师：Qifeng CHEN Google Scholar · GitHub GitHub 关注 51 Stars 144	2025 HKUST PhD, CSE
Yueqi Xie校友 · PhD, CSE · 2025导师：Qifeng CHEN Google Scholar · GitHub GitHub 关注 70 Stars 264	2025 HKUST PhD, CSE
Jiapeng Zhu校友 · PhD, CSE · 2025导师：Qifeng CHEN	2025 HKUST PhD, CSE
Chao Zhao校友 · PhD, ECE · 2025导师：Qifeng CHEN Google Scholar	University of Birmingham Master 2025 HKUST PhD 2025 HKUST PhD, ECE	灵巧手、触觉多模态、人形机器人长时自主性 Assistant Professor, Jilin University
Jingye Chen校友 · PhD, CSE · 2025导师：Qifeng CHEN Google Scholar · GitHub GitHub 关注 248 Stars 115	2019 Fudan University BSc, Computer Science 2022 Fudan University Master, Computer Science 2022–2026 HKUST PhD, Computer Science 2025 HKUST PhD, CSE	文字与图像生成、世界模型 Johns Hopkins University · Summer Intern2021-04–2021-09 Microsoft Research Asia · Research Intern2022-02–2022-07；2022-12–2024-02；2024-11–2025-07 Adobe Research · Research Intern2024-04–2024-08 Canva Research · Research Intern2025-07–2025-11 Ant Group Research，世界模型与视频生成
Junming Chen校友 · PhD, IIP (AI) · 2025导师：Qifeng CHEN	2025 HKUST PhD, IIP (AI)
Yingqing He校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025导师：Qifeng CHEN	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)
Junhao Cai校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025导师：Qifeng CHEN	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)
Jun Cen校友 · PhD, IIP (Robotics and Autonomous Systems) · 2024导师：Qifeng CHEN Google Scholar · GitHub · LinkedIn GitHub 关注 145 Stars 1,109	2019 Zhejiang University BEng, Mechatronics Engineering 2020 HKUST MSc, Mechanical Engineering 2024 HKUST PhD, Robotics 2024 HKUST PhD, IIP (Robotics and Autonomous Systems)	具身 AI、世界动作模型、自动驾驶与三维分割 Hikvision · Algorithm Intern2020-03–2020-07 Alibaba Tongyi Lab · Research Intern2022-03–2023-03 MSRA · Research Intern2023-08–2024-05 Alibaba DAMO Academy · Algorithm Expert2024-08–2026-01 JD Explore Academy · Researcher2026-02– Researcher, JD Explore Academy
Maosheng Ye校友 · PhD, CSE · 2024导师：Qifeng CHEN	2024 HKUST PhD, CSE
Liya Ji校友 · PhD, IIP (Robotics and Autonomous Systems) · 2024导师：Qifeng CHEN	2024 HKUST PhD, IIP (Robotics and Autonomous Systems)
Chenyang Qi校友 · PhD, CSE · 2024导师：Qifeng CHEN 简历 · Google Scholar · GitHub GitHub 关注 93 Stars 1,255	Zhejiang University BEng, Electrical Engineering 2024 HKUST PhD 2024 HKUST PhD, CSE	多模态生成、交互式高分辨率视频 Microsoft Research Asia · Research Intern2022-06–2022-12 Google Research · Student Researcher2023-07–2023-11 Tencent AI Lab · Research Intern2023-01–2023-06 Adobe Research / Firefly · Research Intern2024-01–2024-04 Tencent · Research Scientist2024–2025 Google · Research Scientist2026– Research Scientist, Google Gemini Omni
Jiaxin Xie校友 · PhD, CSE · 2024导师：Qifeng CHEN GitHub · Google Scholar GitHub 关注 36 Stars 252	2018 Wuhan University Bachelor 2024 HKUST PhD 2024 HKUST PhD, CSE	三维视觉、深度估计和图像恢复
Yazhou Xing校友 · PhD, CSE · 2024导师：Qifeng CHEN	2024 HKUST PhD, CSE
Rongrong Gao校友 · PhD, CSE · 2024导师：Qifeng CHEN	2024 HKUST PhD, CSE
Hao Ouyang校友 · PhD, CSE · 2024导师：Qifeng CHEN GitHub GitHub 关注 95 Stars 119	CUHK Bachelor 2020 HKUST MPhil 2024 HKUST PhD 2024 HKUST PhD, CSE	生成模型、世界模型和图像编辑 Google Research · Research Intern Microsoft Research Asia · Research Intern Ant Research · Research Intern Tencent · Research Intern SenseTime · Research Intern Research Scientist, Ant Group
Zifan Shi校友 · PhD, CSE · 2024导师：Qifeng CHEN	Nanjing University Bachelor 2024 HKUST PhD, CSE	世界模型、三维与四维生成 ByteDance · Research Intern2021-09–2022-05 Ant Research · Research Intern2022-06–2023-04 Adobe Research · Research Scientist Intern2023-05–2023-08 Research Scientist, Adobe Research co-supervised with Dit-Yan Yeung；共同指导
Tengfei Wang校友 · PhD, CSE · 2023导师：Qifeng CHEN GitHub · Google Scholar · LinkedIn · DBLP · ORCID · OpenAlex DBLP 近三年 40 OpenAlex 近三年 39 引用 1,319 h-index 14 GitHub 关注 358 Stars 1,016	2023 HKUST PhD, CSE
Yue Wu校友 · PhD, CSE · 2023导师：Qifeng CHEN DBLP · ORCID · OpenAlex DBLP 近三年 4	2023 HKUST PhD, CSE
Chenyang Lei校友 · PhD · 2022导师：Qifeng CHEN GitHub GitHub 关注 260 Stars 2,096	—
Yisheng He校友 · PhD · 2022导师：Qifeng CHEN Google Scholar · GitHub	—
Haoran Song校友 · PhD · 2021导师：Qifeng CHEN 简历 · Google Scholar	2016 Harbin Institute of Technology BEng 2021 HKUST PhD, Robotics	自动驾驶预测、规划、端到端驾驶 Huawei ADS · Principal Engineer2021–2024 Horizon Robotics · 研发2024– Horizon Robotics；DrivePath 与 DriveTraj 研发 co-supervised with Michael Wang
Weihao Yuan校友 · PhD · 2020导师：Qifeng CHEN Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 45 OpenAlex 近三年 45 引用 1,168 h-index 15	Zhejiang University Bachelor, Automation; Minor in Finance 2020 HKUST PhD, Robotics	具身 AI、机器人强化学习、三维视觉 Alibaba Tongyi Lab · Multimodal Researcher Tenure-track Associate Professor, Nanjing University co-supervised with Michael Wang
Chan Ho Park校友 · MPhil, CSE · 2023导师：Qifeng CHEN	2023 HKUST MPhil, CSE
Zhao-heng Yin校友 · MPhil, ECE · 2023导师：Qifeng CHEN	2023 HKUST MPhil, ECE
Yuxiang He校友 · MPhil · 2023导师：Qifeng CHEN	—
Hyukryul Yang校友 · MPhil · 2020导师：Qifeng CHEN	—
Yuezhang Liu校友 · MPhil · 2021导师：Qifeng CHEN	—
Ching-Pui Wan校友 · MPhil · 2021导师：Qifeng CHEN	—
Chang Dae Park校友 · MPhil · 2021导师：Qifeng CHEN	—
Ji Hyeong Yoo校友 · MPhil · 2021导师：Qifeng CHEN	—
Minsoo Khang校友 · MPhil · 2022导师：Qifeng CHEN	—
Ka Ho Lee校友 · MPhil · 2022导师：Qifeng CHEN	—
JIA, YifeiPhD, CSE导师：Qifeng CHEN	—
KE, LeiPhD, Arts and Machine Creativity导师：Qifeng CHEN	—	共同指导
LU, YichongPhD, CSE导师：Qifeng CHEN	—
WANG, YifanPhD, CSE导师：Qifeng CHEN	—
XU, ShuangjiePhD, CSE导师：Qifeng CHEN	—
ZHAO, YaqiPhD, CSE导师：Qifeng CHEN	—
XI, ZichenPhD, IIP导师：Qifeng CHEN	—	共同指导
ZHA, JiajunPhD, IIP导师：Qifeng CHEN	—	共同指导
ZHENG, MingzhePhD, IIP导师：Qifeng CHEN	—	共同指导
CHAN, Nga TengMPhil, CSE导师：Qifeng CHEN	—
FANG, PengjunMPhil, CSE导师：Qifeng CHEN	—
LI, JiajunMPhil, CSE导师：Qifeng CHEN	—
LIN, YiMPhil, CSE导师：Qifeng CHEN	—
MORSI, Mohamed Sobhy MohamedMPhil, CSE导师：Qifeng CHEN	—
RUAN, JunhongMPhil, CSE导师：Qifeng CHEN	—
WU, Kam ManMPhil, CSE导师：Qifeng CHEN	—
FANG, Biqing校友 · PhD, IIP (AI) · 2026导师：Qifeng CHEN	2026 HKUST PhD, IIP (AI)	共同指导
YANG, Xin校友 · PhD, IIP (AI) · 2026导师：Qifeng CHEN	2026 HKUST PhD, IIP (AI)	共同指导
LI, Mingdong校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025导师：Qifeng CHEN	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)	共同指导
LIU, Hongji校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025导师：Qifeng CHEN	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)	共同指导
CHENG, Jie校友 · PhD, ECE · 2024导师：Qifeng CHEN	2024 HKUST PhD, ECE
ZHAN, Dekun校友 · MPhil, ECE · 2024导师：Qifeng CHEN	2024 HKUST MPhil, ECE
WANG, Qijun校友 · MPhil, IIP (AI) · 2023导师：Qifeng CHEN	2023 HKUST MPhil, IIP (AI)	共同指导
Junze Li校友 · PhD, CSE · 2022–2026导师：Xiaojuan MA Google Scholar · LinkedIn · X · GitHub GitHub 关注 9 Stars 1	2014–2018 UESTC Bachelor, Communication Engineering 2018–2022 EPFL Master, Communication Systems 2021–2022 Ludwig Maximilian University Munich Exchange Master Thesis Research 2022–2026 HKUST PhD, CSE 2026 HKUST PhD, CSE	Roche, Shanghai · Data Scientist Intern2019-07–2019-09 Credit Suisse, Lausanne · Natural Language Processing Intern2021-02–2021-07 Microsoft Research Asia, Beijing · Research Intern2026-02–2026-05
Dingdong Liu校友 · PhD, CSE · 2022–2026导师：Xiaojuan MA ORCID · Google Scholar · GitHub · LinkedIn · OpenAlex OpenAlex 近三年 9 引用 77 h-index 5 GitHub 关注 5 Stars 4	HKUST Bachelor, Computer Science and Data Science 2022–2026 HKUST PhD, CSE 2026 HKUST PhD, CSE	对话智能体的沟通能力、话轮协调、具身对话和临床访谈 co-supervised with Prof. Fugee Tsung, since Fall 2022
Hanfang LyuPhD candidate（2026-07 已通过答辩） · 2022-09–2026-10导师：Xiaojuan MA GitHub · CV · GitHub · Google Scholar 主页近三年论文 4 GitHub 关注 22 Stars 1	2018-09–2022-06 The Hong Kong University of Science and Technology BSc in Mathematics (Applied Mathematics), Computer Science (Additional Major) First Class Honors。 2022-09–2026-10 The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Xiaojuan Ma 与 Fugee Tsung；2026-07 已通过答辩。 2025-02–2026-05 The Hong Kong University of Science and Technology (Guangzhou) Cross-Campus Study Program 清水湾博士期间的跨校区学习项目。	HRI、HCI、以人为中心的 AI，以及混合现实机器人原型与交互界面。研究如何通过界面与机器人表达获取人类反馈。2022–2024 年在 INAIR Joint Lab 项目开发混合现实示教系统与 FARPLS 偏好标注系统；2024–2026 年研究建筑任务中的人机协作；2025-06 起研究机器型机器人出错时的表达及人类反应。 co-supervised with Prof. Fugee Tsung, since Fall 2022 主页论文4 2026-10-07（PDF 创建日期） 2024 FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers’ Preference Elicitation 2025 Signaling Human Intentions to Service Robots: Understanding the Use of Social Cues during In-Person Conversations 2025 “I Love the Internet Again”: Exploring the Interaction Inception of “TikTok Refugees” Flocking into Rednote 2026 Exploring Aggressors’ InMatch Cognitive and Emotional Formation and Toxic Behavior Trajectories in MOBA Games
Ziqi PanPhD, CSE · 2023-08–导师：Xiaojuan MA CV · GitHub · Instagram 主页近三年论文 7	2019-07–2023-07 Tsinghua University BSc in Computer Science and Technology 2021-10–2022-06 University of Oxford Visiting Student in Computer Science and Philosophy 清华本科期间的全额资助访问。 2023-08– The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Xiaojuan Ma；HKPFS。	HCI、社会计算与交互设计，研究技术如何辅助人与环境、人与人的互动，计划进一步研究具身与实体界面支持的人与自我互动。2020-10–2022-12 在清华 Pervasive Human Computer Interaction Laboratory 跟随 Xin Yi 研究手机挤压手势认证与 VR/AR 交互；2021-12–2022-09 在清华 Institute for Network Science and Cyberspace 研究基于眼动的图像质量评价；2022-10–2023-01 远程参与 CMU CHIMPS Lab 与 Stanford HCI Group 的 SaberIdentity 项目，由 Tianshi Li 与 Jackie Yang 共同指导。 Beijing Uxsino Software Co., Ltd. · Application and Algorithm Developer Intern2022-06–2022-08清华本科期间实习；设计并开发可由用户定义的敏感信息识别系统，使用 BERT-BiLSTM-attention-CRF 与机器学习。主页论文7 2026-02-25（PDF 创建日期） 2025 ACKnowledge: a computational framework for human compatible affordance-based interaction planning in real-world contexts 2025 From Platform Migration to Cultural Integration: the Ingress and Diffusion of #wlw from TikTok to RedNote in Queer Women Communities 2025 “I Love the Internet Again”: Exploring the Interaction Inception of “TikTok Refugees” Flocking into RedNote 2026 AI Clone Companions and “Dream Girl” Fans: How Idol-Based Agents Reshape Parasocial Relationships Across Real and Virtual Domains 2026 Friend, Foe, or Bot? Exploring Intergroup Dynamics in Hybrid Human-Bot Teams 2026 Unpacking the Use of AI-Generated Content in Chinese Online Discourse About Women’s Growth: Tensions and Opportunities 2026 “Without AI, I Would Never Share This Online”: Unpacking How LLMs Catalyze Women’s Sharing of Gendered Experiences on Social Media
Zuyu XuPhD, CSE · since Fall 2023导师：Xiaojuan MA	—
Yuanhao ZhangPhD, CSE · since Fall 2023导师：Xiaojuan MA	—
Assem ZhunisPhD, CSE · since Fall 2024导师：Xiaojuan MA	—
Kangyu YuanPhD, CSE · since Fall 2024导师：Xiaojuan MA	—
Qiaoyi ChenPhD, CSE · since Fall 2024导师：Xiaojuan MA	—
Xuanhui YangPhD, CSE · since Fall 2024导师：Xiaojuan MA	—
Shixu ZhouPhD, CSE · since Fall 2024导师：Xiaojuan MA	Fall 2022 - Summer 2024 HKUST (Guangzhou) MPhil
Yuying TangPhD, IIP · 2024–导师：Xiaojuan MA GitHub GitHub 关注 2 Stars 0	2017–2021 Central Academy of Fine Arts BFA, Film and Television Photography and Production 2021–2024 Tsinghua University MFA, Visual and Information Design 2022–2023 Politecnico di Milano MSc, Communication Design, dual degree 2024– HKUST PhD, IIP 2026–2027 Imperial College London Visiting PhD 2026–2027 University of the Arts London Visiting PhD	创造力、故事表达与人机协作 co-supervise with Prof. Huamin Qu, HKPFS recipient, since Fall 2024；共同指导
Runhua ZhangPhD, IIP · 2024–导师：Xiaojuan MA Google Scholar · X · LinkedIn	2017–2021 Sichuan University BEng, Industrial Design 2021–2024 Tongji University MA, Design 2022–2023 Aalto University Exchange, Arts, Design and Architecture 2024– HKUST PhD, IIP	人机交互、个人反思、游戏化学习与女性主义 HCI co-supervise with Prof. Huamin Qu, since Fall 2024
Weiying LiuPhD, CSE · since Fall 2025导师：Xiaojuan MA	—
Baiqiao ZhangPhD, CSE · since Fall 2025导师：Xiaojuan MA	2025 Shandong University / Australian National University Bachelor, Computer Science and Technology, joint program	人机对齐、记忆、信心、注意力与人格建模，多模态混合主动系统
Bolin ZhaoPhD, CSE · since Fall 2025导师：Xiaojuan MA	HKUST	co-supervised with Prof. Jun Han, since Fall 2025
Yiyao PengMPhil, CSE · since Fall 2025导师：Xiaojuan MA	—	co-supervised with Prof. Yang Wang, since Fall 2025
Tilmann BrunsPhD, CSE · since Spring 2026导师：Xiaojuan MA	—
Jiaxiong HuPost-doctoral Scholar · since Fall 2022导师：Xiaojuan MA	—
Heng ZhangPost-doctoral Scholar · since Spring 2025导师：Xiaojuan MA	—
Leye Wang校友 · Post-doctoral Scholar · Fall 2016 - Fall 2018导师：Xiaojuan MA 简历	—	co-mentored with Prof. Qiang Yang, Fall 2016 - Fall 2018, Assistant Professor, Peking University
Yanjun Lyu校友 · Post-doctoral Scholar · Summer 2025 - Spring 2026导师：Xiaojuan MA LinkedIn · GitHub GitHub 关注 1 Stars 0	—
Zeyu Huang校友 · PhD, CSE · 2021–2025导师：Xiaojuan MA	2025 HKUST PhD, CSE
Qian Zhu校友 · PhD, CSE · 2020–2024导师：Xiaojuan MA Google Scholar · GitHub · LinkedIn · DBLP · ORCID DBLP 近三年 16 GitHub 关注 78 Stars 681	2024 HKUST PhD, CSE
Shuai Ma校友 · PhD, CSE · 2020–2024导师：Xiaojuan MA	2024 HKUST PhD, CSE
Chengbo Zheng校友 · PhD, CSE · 2020–2024导师：Xiaojuan MA	2024 HKUST PhD, CSE
Qingyu Guo校友 · PhD, CSE · 2020–2024导师：Xiaojuan MA	2024 HKUST PhD, CSE Hong Kong University of Science and Technology
Jiehui Luo校友 · MPhil, CSE · 2022–2024导师：Xiaojuan MA	2024 HKUST MPhil, CSE
Chengzhong Liu校友 · PhD, CSE · 2020–2024导师：Xiaojuan MA	2024 HKUST PhD, CSE
Chuhan Shi校友 · PhD, CSE · 2019–2023导师：Xiaojuan MA 简历 · Google Scholar · GitHub GitHub 关注 1 Stars 0	2023 HKUST PhD, CSE	co-supervise with Prof. Qiong Luo, Fall 2019 - Summer 2023, associate professor @ Southeastern University；共同指导
Reza Hadi Mogavi校友 · PhD, CSE · 2018–2023导师：Xiaojuan MA	2023 HKUST PhD, CSE	co-supervised with Prof. Pan Hui, Winter 2018 - Spring 2023；共同指导
Wenjie Yang校友 · MPhil student · Fall 2020 - Summer 2022导师：Xiaojuan MA drive.google.com · GitHub GitHub 关注 0 Stars 0	Beijing Forestry University undergraduate
Feng Han校友 · PhD student · Fall 2018 - Spring 2022导师：Xiaojuan MA	Jilin University undergraduate	co-supervised with Prof. Jiheng Zhang, Fall 2018 - Spring 2022, Analyst @ CICC
Zhenhui Peng校友 · PhD student · Fall 2017 - Spring 2021导师：Xiaojuan MA 简历 · Google Scholar	—
Man Ching Ko校友 · TLE MPhil student · Spring 2020 - Spring 2021导师：Xiaojuan MA	—
Zhida Sun校友 · PhD student · Fall 2016 - Summer 2020导师：Xiaojuan MA Google Scholar · ORCID · GitHub · OpenAlex OpenAlex 近三年 20 引用 493 h-index 11 GitHub 关注 0 Stars 0	—
Zhenjie Zhao校友 · PhD student · Fall 2016 - Summer 2020导师：Xiaojuan MA GitHub GitHub 关注 33 Stars 33	—
Ziming Wu校友 · PhD student · Fall 2016 - Summer 2020导师：Xiaojuan MA	—
Meng Xia校友 · PhD student · Fall 2017 - Summer 2020导师：Xiaojuan MA	2020 HKUST PhD	人机协作、个性化教育、可视化与学习技术 Assistant Professor, CSE, Texas A&M University；Dream Lab 负责人 co-supervise with Prof. Huamin Qu, SENG Top RPg award recipient, Fall 2017 - Summer 2020, assistant professor @ Texas A&M University, previously postdoc @ KAIST and CMU
Taewook Kim校友 · MPhil student · Fall 2018 - Summer 2020导师：Xiaojuan MA	Hanyang University undergraduate
Mingfei Sun校友 · PhD student · Spring 2016 - Spring 2020导师：Xiaojuan MA LinkedIn · GitHub · Google Scholar GitHub 关注 104 Stars 241	—
Quan Li校友 · PhD student · Fall 2015 - Fall 2018导师：Xiaojuan MA DBLP · ORCID DBLP 近三年 76	—	co-supervise with Prof. Huamin Qu, Fall 2015 - Fall 2018, Associate Professor @ ShanghaiTech University
Andrew Cattle校友 · PhD student · Fall 2015 - Summer 2018导师：Xiaojuan MA	—	co-supervised with Prof. Qiang Yang, Fall 2015 - Summer 2018, faculty @ Northeastern University
Emily Yang Yang校友 · TLE MPhil student · 2015-2017导师：Xiaojuan MA	—	co-supervise with Prof. Pascale Fung, 2015-2017, UX Researcher @ Meta
Zeyu Xiong校友 · MPhil student · Fall 2022 - Summer 2024导师：Xiaojuan MA	—	co-supervised with Prof. Mingming Fan, Fall 2022 - Summer 2024, PhD @ ETH
Wenyuan Dai校友 · PhD student · Spring 2018 - Fall 2019导师：Xiaojuan MA	—	co-supervised with Prof. Qiang Yang, Spring 2018 - Fall 2019, General Manager @ 4Paradigm Corp.
Jinliang Deng校友 · MPhil student · Spring 2018 - Spring 2019导师：Xiaojuan MA	—	co-supervised with Prof. Qiang Yang, Spring 2018 - Spring 2019, PhD @ U of Tech, Sydney
Xiang Zhang校友 · MPhil student · Spring 2018 - Spring 2019导师：Xiaojuan MA	—	co-supervised with Prof. Qiang Yang, Spring 2018 - Spring 2019, Machine Learning Engineer @ Tencent
Cassie Lee Dai校友 · Visiting intern · Summer 2024导师：Xiaojuan MA	Harvard University
Qiuxin Du校友 · Visiting intern · Summer 2024导师：Xiaojuan MA	Beijing Institute of Technology
Xiaoyu Wang校友 · Research intern · Summer 2024导师：Xiaojuan MA	HKUST
Yumeng Wang校友 · Research intern · Summer 2024导师：Xiaojuan MA	HKUST undergraduate
Lveyang Zhang校友 · Research intern · Summer 2024导师：Xiaojuan MA	HKUST
Yue ZhangPhD, CSE · Summer 2024导师：Xiaojuan MA	Shenzhen University	共同指导
Yujing Zhang校友 · Visiting intern · Summer 2024导师：Xiaojuan MA	KTH
Xiyuan Wang校友 · Visiting student · Fall 2023导师：Xiaojuan MA	ShanghaiTech
Laixin Xie校友 · Visiting student · Fall 2023导师：Xiaojuan MA	ShanghaiTech
Sensen Gao校友 · Remote intern student · Summer 2023导师：Xiaojuan MA	Nankai University
Fei Nie校友 · Remote intern student · Summer 2020导师：Xiaojuan MA	HKUST
Hanqi Zhou校友 · Remote intern student · Summer 2020导师：Xiaojuan MA	Ulm University
Siyuan Chen校友 · Remote intern student · Summer 2020导师：Xiaojuan MA	University of Electronic Science and Technology of China
Zhihan Jiang校友 · Remote intern student · Summer 2020导师：Xiaojuan MA	Xiamen University
Yue Yu校友 · Remote intern student · Summer 2020导师：Xiaojuan MA	City University
Muyu Xu校友 · Remote intern student · Summer 2020导师：Xiaojuan MA	HKUST
Tim Ta Ying Cheng校友 · Research intern · Summer 2019导师：Xiaojuan MA	HKUST undergraduate
David Chuan-en Lin校友 · Research intern · Summer 2019导师：Xiaojuan MA	HKUST undergraduate
Yiding Liu校友 · Visiting student · Summer 2019导师：Xiaojuan MA	Hong Kong University undergraduate
Yulun Jiang校友 · Visiting student · Summer 2019导师：Xiaojuan MA	Wuhan University undergraduate
Meiziniu Li校友 · Visiting student · Summer 2019导师：Xiaojuan MA	Huazhong University of Science and Technology undergraduate
Yi Fei Cheng校友 · Visiting student · Summer 2019导师：Xiaojuan MA	Swarthmore College undergraduate
Yuji Zhang校友 · Visiting student · Summer 2019导师：Xiaojuan MA	Southeast University undergraduate
Jungsoo Lee校友 · Exchange student · Spring 2019导师：Xiaojuan MA	Korea University undergraduate
Hyeonjae Kim校友 · Intern student · Summer 2019导师：Xiaojuan MA	Hong Kong University of Science and Technology undergraduate
Sitong Wang校友 · Visiting student · Summer 2019导师：Xiaojuan MA	Chongqing University undergraduate
Ziming Chen校友 · Visiting intern · Summer 2018导师：Xiaojuan MA	Beijing University of Posts and Telecommunications undergraduate
Yunhwan Kwon校友 · Visiting student · Summer 2018导师：Xiaojuan MA	Dongguk University undergraduate
Manuele Reani校友 · Visiting Ph.D. · Spring 2018导师：Xiaojuan MA	University of Manchester
Michelle Wong校友 · Exchange student · Spring 2018导师：Xiaojuan MA	Smith College undergraduate
Jiaan Lu校友 · Exchange · Spring 2018导师：Xiaojuan MA	SJTU undergraduate
Minxuan Gao校友 · Exchange · Spring 2018导师：Xiaojuan MA	Tsinghua University undergraduate
Meng Meng Yan校友 · Visiting student · Summer 2017导师：Xiaojuan MA	KIT MPhil
Yiqing Mou校友 · Intern · Summer 2017导师：Xiaojuan MA	Hong Kong University undergraduate
Jiayue Fan校友 · Visiting intern · Summer 2017导师：Xiaojuan MA	Tsinghua University undergraduate
Mingjie Ye校友 · Visiting intern · Summer 2017导师：Xiaojuan MA	Zhejiang University undergraduate
Gehua Qin校友 · Visiting intern · Summer 2017导师：Xiaojuan MA	SJTU undergraduate
Isabella Flack校友 · Exchange · Fall 2016导师：Xiaojuan MA	University of Warwick undergraduate
Hong Peng校友 · Intern · Fall 2016导师：Xiaojuan MA	Hong Kong University undergraduate
Yuruten Onur校友 · Visiting Ph.D. · Fall 2016导师：Xiaojuan MA	EPFL
Zhehao Zhu校友 · Exchange · Fall 2016导师：Xiaojuan MA	Tsinghua University undergraduate
Wenchang Yang校友 · Visiting intern · Fall 2016导师：Xiaojuan MA	Jilin University undergraduate
Julien Bonnet校友 · Visiting intern · Summer 2016导师：Xiaojuan MA	École Nationale de lAviation Civile (ENAC
Xinyi Fu校友 · Visiting intern · Spring 2016导师：Xiaojuan MA	Tsinghua University
HU, XuningPhD, CSE导师：Xiaojuan MA	—
WANG, SiqiPhD, CSE导师：Xiaojuan MA	—	共同指导
LI, Zisu校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2026导师：Xiaojuan MA	2026 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts)	共同指导
Mingshi XuMPhil导师：Wilfred Siu-Hung NGCSE	—
Haoren Zhu校友 · PhD · 2025导师：Wilfred Siu-Hung NGCSE	—
Changlong Yu校友 · PhD · 2023导师：Wilfred Siu-Hung NGCSE	—
Chak Hei So校友 · MPhil · 2023导师：Wilfred Siu-Hung NGTechnology Leadership and Entrepreneurship	—
Vlasios Koutsos校友 · PhD · 2020–导师：Dimitris PAPADOPOULOSCSE	2020 HKUST MPhil 2026 HKUST PhD
Christodoulos PappasPhD · 2024–导师：Dimitris PAPADOPOULOSCSE	2024 HKUST MPhil
Kianush ArshiMPhil · 2025–导师：Dimitris PAPADOPOULOS	—
Alexandros BallaMPhil · 2026–导师：Dimitris PAPADOPOULOSCSE	—
Jonas BallwegPhD · 2024–导师：Dimitris PAPADOPOULOSCSE	—	与 Amir Goharshady co-supervised
Togzhan BarakbayevaPhD · 2021–导师：Dimitris PAPADOPOULOSCSE	—	与 Amir Goharshady co-supervised
Zhuo CaiPhD · 2022–导师：Dimitris PAPADOPOULOSCSE	—	与 Amir Goharshady co-supervised
Sergei NovozhilovPhD · 2022–导师：Dimitris PAPADOPOULOSCSE	—	与 Amir Goharshady co-supervised
Jiajun Xin校友 · PhD · 2025导师：Dimitris PAPADOPOULOSCSE	2025 HKUST PhD	Postdoctoral researcher, University of Sydney
Javad Ghareh Chamani校友 · PhD · 2022导师：Dimitris PAPADOPOULOS	—	Researcher, Huawei HKRC
Xian Wang校友 · MPhil · 2025导师：Dimitris PAPADOPOULOSCSE	2025 HKUST MPhil	CV 所列 PhD Student at University of Philadelphia
Xiangan Tian校友 · MPhil · 2025导师：Dimitris PAPADOPOULOSCSE	2025 HKUST MPhil	Software Engineer, BlockUp Solutions
Tai Tak Martin Yip校友 · MPhil · 2023导师：Dimitris PAPADOPOULOSCSE	2023 HKUST MPhil	Senior Cybersecurity Consultant, Deloitte
Arman Haghighi校友 · MPhil · 2021导师：Dimitris PAPADOPOULOS	—	Instructional Assistant, HKUST CSE
Yun Wang校友 · MPhil · 2020导师：Dimitris PAPADOPOULOS	—
Arman KeshazarMPhil导师：Dimitris PAPADOPOULOSCSE	—
Zihao ZhangMPhil导师：Dimitris PAPADOPOULOSCSE	—
Kianoush ArshiMPhil导师：Dimitris PAPADOPOULOSCSE	—
Yunfan LuPostdoc · Since Fall 2026导师：Yangqiu SONG 简历 · Google Scholar · GitHub · LinkedIn GitHub 关注 111 Stars 373	Nanjing University of Science and Technology Bachelor University of Chinese Academy of Sciences Master HKUST (Guangzhou) PhD	事件相机、计算成像与多模态视觉 Tencent Multimedia Laboratory · Research Intern2019-05–2020-02 DJI · Algorithm Engineer2020-07–2021-04
Haoran LiPostdoc · Since Spring 2025导师：Yangqiu SONG	Fall 2020-Fall 2024 HKUST PhD 2024 HKUST PhD, CSE	Enhancing Trustworthiness in Large Language Models: Perspectives on Privacy and Safety
Xi YangPostdoc · Since Spring 2025导师：Yangqiu SONG	—
Boyi ZhangPhD, CSE · Since Fall 2026导师：Yangqiu SONG	—
Qiao XiaoPhD, CSE · Since Fall 2026导师：Yangqiu SONG	—
Sirui ZhangPhD, CSE · Since Fall 2026导师：Yangqiu SONG	—
Lingyun XiePhD, CSE · Since Fall 2026导师：Yangqiu SONG	—
Hongyu LuoPhD, CSE · Since Fall 2026导师：Yangqiu SONG	2024-2026 HKUST MPhil 2026 HKUST MPhil, CSE	Can Language Models Imagine Without Seeing? EKPHRASIS: Measuring Visual Creative Ideation in Text-Only LLM
Chunyang LiPhD, CSE · Since Fall 2026导师：Yangqiu SONG GitHub · Google Scholar GitHub 关注 14 Stars 26	2024-2026 HKUST MPhil 2024 Tsinghua University BEng, Computer Science and Technology 2026 HKUST MPhil, CSE	语言模型认知能力、知识获取、适应推理与 LLM-as-a-judge
Dennis Hong Ting TSANGPhD, CSE · Since Fall 2026导师：Yangqiu SONG Google Scholar · ORCID · GitHub · LinkedIn GitHub 关注 14 Stars 2	HKUST BEng, Computer Science 2024-2026 HKUST MPhil 2026 HKUST MPhil, CSE	知识图谱构建、图推理、RAG、LLM 与智能体
Yisen GaoPhD, CSE · Since Fall 2025导师：Yangqiu SONG Google Scholar · DBLP · GitHub DBLP 近三年 35 GitHub 关注 3 Stars 0	2025 Beihang University Bachelor, Artificial Intelligence	神经图数据库、溯因与演绎推理、AI 数学与几何深度学习 Tencent · Qingyun Research Intern
Zhongwei XiePhD, CSE · Since Fall 2025导师：Yangqiu SONG	—
Haoyu HuangPhD, CSE · 2025–导师：Yangqiu SONG GitHub · X GitHub 关注 47 Stars 603	2019–2023 Beijing Jiaotong University BE, Computer Science 2024–2025 CUHK MSc, CSE 2025–2029 expected HKUST PhD, CSE	智能体后训练、参数化记忆与世界建模
Yufei LiPhD, CSE · Since Fall 2025导师：Yangqiu SONG	—
Xiyu RenPhD, CSE · Since Fall 2025导师：Yangqiu SONG	—
Yuxuan LiuPhD, CSE · Since Fall 2025导师：Yangqiu SONG GitHub · Google Scholar GitHub 关注 2 Stars 56	Harbin Institute of Technology Bachelor, Artificial Intelligence	自然语言处理、递归自我改进与智能体执行环境设计
Andy Yau Wai YIMPhD, CSE · Since Fall 2025导师：Yangqiu SONG	2023-2025 HKUST MPhil 2025 HKUST MPhil, CSE	Evaluating and Enhancing LLMs Agent with Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information
Changxuan FanPhD, CSE · Since Fall 2025导师：Yangqiu SONG	—
Tsz Ho CHANPhD, CSE · Since Fall 2025导师：Yangqiu SONG	2023 HKUST MPhil, CSE
Huihao JingPhD, CSE · 2025–导师：Yangqiu SONG Google Scholar · ORCID · GitHub GitHub 关注 17 Stars 11	2020–2024 HKUST BSc, Data Science and Technology 2023 夏季 Technical University of Munich Exchange, Informatics 2025– HKUST PhD, Computer Science	工具、记忆与多智能体工作流中的安全、隐私和上下文控制
Shurui ZhangPhD, CSE · Since Fall 2025导师：Yangqiu SONG	—	Co-supervised with Kani Chen
Wenbin HuPhD, CSE · Since Spring 2025导师：Yangqiu SONG	—
Peng XiePhD, CSE · Since Fall 2024导师：Yangqiu SONG	—	Co-supervised with Kani Chen
Tianshi ZhengPhD, CSE · 2024–导师：Yangqiu SONG Google Scholar · Semantic Scholar · GitHub 引用 622 h-index 13 GitHub 关注 31 Stars 0	HKUST Bachelor, Computer Science; Bachelor, General Business Management 2024– HKUST PhD, Computer Science	科学推理与发现、智能体评测
Baixuan XuPhD, CSE · 2024–导师：Yangqiu SONG ORCID · Semantic Scholar · GitHub · DBLP · OpenAlex DBLP 近三年 32 OpenAlex 近三年 38 引用 71 h-index 4 GitHub 关注 12 Stars 0	2020–2024 HKUST BSc, Computer Science and Mathematics 2024–2028 expected HKUST PhD, CSE	预训练代码和网页数据、agent 环境构建、SFT 与 RL 数据 Xiaomi MiMo · Research Intern2026-02–2026-09
Qing ZongPhD, CSE · Since Fall 2024导师：Yangqiu SONG GitHub GitHub 关注 52 Stars 68	2024 Harbin Institute of Technology, Shenzhen Bachelor, Computer Science and Technology	可靠、自我演化的智能体系统；模型可信性、置信表达与鲁棒性 Tencent Lightspeed Studios · Research Intern2026-01 起
Haochen ShiPhD, CSE · Since Fall 2024导师：Yangqiu SONG	—
Wei FanPhD, CSE · 2023-09–导师：Yangqiu SONG X · GitHub · Google Scholar · Semantic Scholar 引用 857 h-index 9 GitHub 关注 262 Stars 1,495	2017–2021 Huazhong University of Science and Technology BEng, Computer Science 2022–2023 HKUST MSc, Big Data Technology 2023-09– HKUST PhD, Computer Science	长程智能体、子智能体协作、法律推理与隐私 ByteDance, Shanghai · Software Development Engineer2021-07–2022-05 HKUST (Guangzhou), AI Thrust · Research Intern2022-06–2022-08 Amazon Rufus LLM, Palo Alto · Applied Scientist Intern2025-06–2025-12 Alibaba Qwen · Research Intern2026-01–
Zhaowei WangPhD, CSE · Since Fall 2023导师：Yangqiu SONG Google Scholar · GitHub · LinkedIn · X · DBLP DBLP 近三年 37 GitHub 关注 86 Stars 26	Fall 2021-Summer 2023 HKUST MPhil 2023 HKUST MPhil, CSE University of Edinburgh Visiting scholar	多模态长上下文、持久记忆与长程智能体 ByteDance Seed VLM · Research Intern
Jacky Chun Kit ChanPhD, CSE · Since Fall 2023导师：Yangqiu SONG	Fall 2021-Summer 2023 HKUST MPhil 2021 HKUST Master, Big Data Technology 2021–2023 HKUST MPhil, CSE	心智理论、主观世界建模、多智能体协作与强化学习推理 NVIDIA AI Technology Center · Research Intern2022–2024 Amazon, Palo Alto · Applied Scientist Intern
Zheye DengPhD, CSE · 2022-09–导师：Yangqiu SONG Google Scholar · Semantic Scholar · GitHub 引用 404 h-index 9 GitHub 关注 11 Stars 0	2016–2020 Peking University BSc, Computer Science 2022-09– HKUST PhD, Computer Science	结构化知识、LLM 后训练与智能体强化学习 ByteDance Douyin Data Team · R&D Engineer Intern2018-06–2018-10 Megvii Infrastructure Team · R&D Engineer2020-07–2022-08 Amazon Stores Foundational AI · Applied Scientist Intern2025-06–2025-12 Amazon Stores Foundational AI · Applied Scientist Intern2026-05–2026-08 Alibaba Alimama · Research Scientist Intern2026-01–2026-04
Wuganjing SongMPhil, CSE · Since Fall 2026导师：Yangqiu SONG	—
He WangMPhil, CSE · Since Fall 2026导师：Yangqiu SONG	—
TAM, Kiu WaiMPhil, CSE · Since Fall 2026导师：Yangqiu SONG	—
TANG, Chiu YeungMPhil, CSE · Since Fall 2026导师：Yangqiu SONG	—
Newt Nguyen NamMPhil, CSE · Since Fall 2026导师：Yangqiu SONG	—
Jerry, Ki Sen HUNGMPhil, CSE · Since Fall 2025导师：Yangqiu SONG	—
Anson, Tsun On KWOKMPhil, CSE · Since Fall 2025导师：Yangqiu SONG	—
Ka Wai CHUNGMPhil, CSE · 2025–导师：Yangqiu SONG Google Scholar	2021–2025 HKUST BEng, CSE; Extended Major in Artificial Intelligence 2025– HKUST MPhil, CSE	LLM 推理、智能体评测与自然语言处理
Bowen LiuMPhil, CSE · Since Fall 2025导师：Yangqiu SONG	—	Co-supervised with Xiaomeng Li；共同指导
Xingyan ChenMPhil, CSE · Since Fall 2024导师：Yangqiu SONG	—	Co-supervised with Kani Chen
Lucas Wun Yu CHANMPhil, CSE · Since Fall 2024导师：Yangqiu SONG GitHub · Google Scholar · LinkedIn · X GitHub 关注 28 Stars 42	HKUST Bachelor, Computer Science and Electronic Engineering, double major	表示学习、嵌入空间几何、隐式推理与量化 AI Alpha Sherpa Capital · Quantitative Research Intern Amber Group · AI Research Intern
Asif KHANMPhil, CSE · Since Fall 2024导师：Yangqiu SONG	—
Zirui WangMPhil, CSE · Since Fall 2022导师：Yangqiu SONG	—	Co-supervised with Qian Xu
Zizheng Lin校友 · PhD, CSE · 2019–2026导师：Yangqiu SONG	Fall 2019-Summer 2026 HKUST PhD 2026 HKUST PhD, CSE	Constraint Modeling in Natural Language Processing in the Era of Deep Learning faculty@Xiamen University of Technology
Jiayang Cheng校友 · PhD, CSE · 2023–2026导师：Yangqiu SONG LinkedIn · Google Scholar · Semantic Scholar · DBLP · ORCID DBLP 近三年 40	Fudan University Bachelor, Data Science Fall 2021-Summer 2023 HKUST MPhil Fall 2023-Spring 2026 HKUST PhD 2026 HKUST PhD, CSE	知识落地、类比推理与长期对话记忆 Amazon Rufus, Palo Alto · Applied Scientist Intern2025-06 起 Amazon Web Services AI Lab · Research Intern Alibaba Qwen
Weiqi Wang校友 · PhD, CSE · 2022–2026导师：Yangqiu SONG Google Scholar · Semantic Scholar · ORCID · GitHub · LinkedIn · DBLP · OpenAlex DBLP 近三年 63 OpenAlex 近三年 73 引用 300 h-index 11 GitHub 关注 76 Stars 12	2018-09–2022-06 Hong Kong University of Science and Technology Bachelor Degree in Computer Science and Mathematics Fall 2022-Spring 2026 HKUST PhD 2026 HKUST PhD, CSE Conceptualization to Metaphysical Reasoning: Frameworks and Benchmarks Towards Generalizable Reasoning	From Conceptualization to Metaphysical Reasoning: Frameworks and Benchmarks Towards Generalizable Reasoning Tencent Hunyuan in Beijing
Qi Hu校友 · PhD, CSE · 2020–2025导师：Yangqiu SONG	Fall 2020-Spring 2025 HKUST PhD 2025 HKUST PhD, CSE	Privacy-Preserved Learning on Graph-Structured Data Byte Dance in Shanghai
Jiaxin Bai校友 · PhD, CSE · 2020–2025导师：Yangqiu SONG	Fall 2020-Spring 2025 HKUST PhD 2025 HKUST PhD, CSE	Advancements in Knowledge Graph Reasoning: Innovative Approaches to Complex Query Answering and Logical Hypothesis Generation Postdoc@HKUST
Zihao Wang校友 · PhD, CSE · 2020–2025导师：Yangqiu SONG Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 41 GitHub 关注 55 Stars 42	Fall 2020-Spring 2025 HKUST PhD 2025 HKUST PhD, CSE	Querying Neural Graph Databases TSY Capital in Hong Kong
Ying Su校友 · PhD, IIP (AI) · 2020–2024导师：Yangqiu SONG Google Scholar · Semantic Scholar · ORCID · GitHub 引用 158 h-index 6 GitHub 关注 6 Stars 4	Fall 2020-Fall 2024 HKUST PhD 2024 HKUST PhD, IIP (AI)	Commonsense Knowledge Representation, Reasoning and Application Postdoc@HKU
Tianqing Fang校友 · PhD, CSE · 2019–2024导师：Yangqiu SONG	Fall 2019-Summer 2024 HKUST PhD 2024 HKUST PhD, CSE	Commonsense Knowledge Base Population and Reasoning for Inferential Knowledge Tencent AI Lab in Shenzhen
Xin Liu校友 · PhD, CSE · 2018–2023导师：Yangqiu SONG Google Scholar · GitHub GitHub 关注 64 Stars 3	Fall 2018-Summer 2023 HKUST PhD 2023 HKUST PhD, CSE	Theory and Practice: Graph Representation Learning For Subgraph Isomorphisms and Substructure-Augmented Applications Scientist@Amazon A9 in Palo Alto
Huiru Xiao校友 · PhD · Fall 2016-Summer 2022导师：Yangqiu SONG GitHub GitHub 关注 19 Stars 0	Fall 2016-Summer 2022 HKUST PhD	Learning with Hierarchical Data Lecturer@HKUST
Wenyi Xiao校友 · PhD · Fall 2016-Fall 2021导师：Yangqiu SONG	Fall 2016-Fall 2021 HKUST PhD	Path Learning in Complex Networks Scientist@Huawei in Hong Kong
Hongming Zhang校友 · PhD · Fall 2018-Summer 2021导师：Yangqiu SONG 简历 · Google Scholar · GitHub GitHub 关注 88 Stars 48	2016 HKUST MPhil Fall 2018-Summer 2021 HKUST PhD	Towards Commonsense Reasoning with Higher-order Selectional Preference over Eventualities Scientist@Tencent AI Lab in Seattle
Hongliang Dai校友 · PhD · Fall 2017-Summer 2021导师：Yangqiu SONG Google Scholar · GitHub GitHub 关注 9 Stars 25	Fall 2017-Summer 2021 HKUST PhD	Weak Supervision for Information Extraction Scientist@Tencent Jarvislab in Shenzhen
Ziqian Zeng校友 · PhD · Fall 2016-Summer 2021导师：Yangqiu SONG Google Scholar · GitHub GitHub 关注 30 Stars 6	Fall 2016-Summer 2021 HKUST PhD	On the Use of Auxiliary Information for Label-less Text Mining Tasks Assistant Professor@SCUT in Guangzhou
Yinghua Zhang校友 · PhD · Fall 2015-Spring 2021导师：Yangqiu SONG	Fall 2015-Spring 2021 HKUST PhD	Deep Transfer Learning: Generalization on Clean and Adversarial Data Research Engineer@Meituan in Shanghai Co-supervised with Prof. Qiang Yang, First Employment: Research Engineer@Meituan in Shanghai
Nedjma Ousidhoum校友 · PhD · Fall 2014-Summer 2021导师：Yangqiu SONG	Fall 2014-Summer 2021 HKUST PhD	On the Importance of Normalization of the Experimental Design of Multilingual Toxic Content Detection Postdoc@Cambridge Co-supervised with Prof. DY Yeung, First Employment: Postdoc@Cambridge
Jason Tsz Ho LI校友 · MPhil · 2024-2026导师：Yangqiu SONG	2024-2026 HKUST MPhil	Legal Data Augmentation in LLMs for Low-resourced Domains
Louis Chun Yi Bo校友 · MPhil · 2022-2024导师：Yangqiu SONG	2022-2024 HKUST MPhil	Educational Question Generation and Evaluation with Large Language Models Gap Year
Zihan Li校友 · MPhil, CSE · 2022–2024导师：Yangqiu SONG GitHub GitHub 关注 10 Stars 0	2022-2024 HKUST MPhil 2024 HKUST MPhil, CSE	Sparse Gradient Communication for Accelerating Distributed Deep Learning PhD@UToronto Co-supervised with Prof. Bo Li, First Employment: PhD@UToronto
Sehyun Choi校友 · MPhil, CSE · 2022–2024导师：Yangqiu SONG GitHub GitHub 关注 58 Stars 243	2022-2024 HKUST MPhil 2024 HKUST MPhil, CSE	Knowledge Grounded Generation with Inference-Time Optimization and Constrained Decoding Startup Company in Korea
Van Quyet DO校友 · MPhil, CSE · 2022–2024导师：Yangqiu SONG	Since Fall 2022 HKUST MPhil 2024 HKUST MPhil, CSE	ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases PhD@Virginia Tech
Cynwell Yik Lun Lau校友 · MPhil · Fall 2021-Fall 2023导师：Yangqiu SONG	Fall 2021-Fall 2023 HKUST MPhil	Better Questions for Better Answers: Generating High-quality QA Pairs HKMA
Gio Tsz Ho Chan校友 · MPhil · Fall 2021-Summer 2023导师：Yangqiu SONG	Fall 2021-Summer 2023 HKUST MPhil	Exploring Contextualized Conceptualization: An Evaluation of Prompt-Driven Responses in Diverse Language Models Research Engineer@Huawei Hong Kong
Ngo Yin Wong校友 · MPhil, CSE · 2019–2023导师：Yangqiu SONG	Fall 2019-Summer 2023 HKUST MPhil 2023 HKUST MPhil, CSE	Reasoning over Merged Semantic Graphs across Multiple Frameworks for Fact Verification Software Engineer@Amazon AWS in Hong Kong
Haowen Ke校友 · MPhil · Fall 2019-Summer 2022导师：Yangqiu SONG	Fall 2019-Summer 2022 HKUST MPhil	Personalised Knowledge-aware News Recommendation
Mutian He校友 · MPhil · Fall 2019-Spring 2022导师：Yangqiu SONG 简历 · Google Scholar · GitHub · LinkedIn · X · DBLP · ORCID DBLP 近三年 4 GitHub 关注 44 Stars 158	Fall 2019-Spring 2022 HKUST MPhil	Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization PhD@EPFL
Haojie Pan校友 · MPhil · Fall 2018-Spring 2020导师：Yangqiu SONG GitHub · LinkedIn · Google Scholar GitHub 关注 124 Stars 461	Fall 2018-Spring 2020 HKUST MPhil	Pragmatical Discourse Analysis in Dialogues Research Engineer@Alibaba):
Yan Liang校友 · MPhil · Fall 2016-Summer 2019导师：Yangqiu SONG	Fall 2016-Summer 2019 HKUST MPhil	Relation Discovery with Out-of-Relation Knowledge Base as Supervision Financial Industry
Ruixiang Zhang校友 · MPhil · Fall 2016-Summer 2018导师：Yangqiu SONG	Fall 2016-Summer 2018 HKUST MPhil	An Adversarial Approach to Few-Shot Learning PhD@UMontreal
WANG, ChenPhD, CSE导师：Yangqiu SONG	—
WANG, DengyuxingPhD, CSE导师：Yangqiu SONG	—	共同指导
ZHANG, JinhanPhD, IIP导师：Yangqiu SONG	—	共同指导
HAN, SiruiPhD, CSE导师：Yangqiu SONG	—	共同指导
SO, Tsz Yan AmandaPhD, Individualized Interdisciplinary Program (Innovation, Policy and Entrepreneurship)导师：Yangqiu SONG	—	共同指导
YUAN, ShuaiPhD, CSE导师：Yangqiu SONG	—
CAO, He校友 · PhD, IIP (AI) · 2025导师：Yangqiu SONG	2025 HKUST PhD, IIP (AI)	共同指导
CHENG, Yiran校友 · PhD, IIP (AI) · 2025导师：Yangqiu SONG	2025 HKUST PhD, IIP (AI)	共同指导
GUO, Yue校友 · PhD, IIP (Data Science and Analytics) · 2025导师：Yangqiu SONG	2025 HKUST PhD, IIP (Data Science and Analytics)	共同指导
YAO, Duanyi校友 · PhD, Individualized Interdisciplinary Program (Internet of Things) · 2025导师：Yangqiu SONG	2025 HKUST PhD, Individualized Interdisciplinary Program (Internet of Things)
ZHANG, Peiyan校友 · PhD, CSE · 2025导师：Yangqiu SONG	2025 HKUST PhD, CSE
XUE, Bohuan校友 · PhD, CSE · 2024导师：Yangqiu SONG	2024 HKUST PhD, CSE
LI, Tsz Ho校友 · MPhil, CSE · 2026导师：Yangqiu SONG	2026 HKUST MPhil, CSE
BO, Chun Yi Louis校友 · MPhil, CSE · 2024导师：Yangqiu SONG	2024 HKUST MPhil, CSE
PAN, Rui校友 · MPhil, CSE · 2024导师：Yangqiu SONG	2024 HKUST MPhil, CSE
LAU, Yik Lun校友 · MPhil, CSE · 2023导师：Yangqiu SONG	2023 HKUST MPhil, CSE
Qingyue WangPostdoc · 2024 Fall导师：Shuai WANG GitHub GitHub 关注 4 Stars 18	—
Ruochen ZhouPostdoc · 2025 Spring导师：Shuai WANG	—	与 Bo Li 共同指导博士后
Wai Kin WongPostdoc · 2025 Fall导师：Shuai WANGCSE	2019–2021 HKUST MPhil, CSE 2021–2025 HKUST PhD	PhD 论文：Enhancing Binary Analysis Tooling；MPhil 论文：Attacking deep learning-based anti-malware engines
Jiangrong WuPostdoc · 2026 Fall导师：Shuai WANG	—
Xiaoyu ZhangPostdoc · 2026 Fall导师：Shuai WANG	—
Yanzuo ChenPhD · 2021 Fall导师：Shuai WANGCSE	—
Yongkang ZhangPhD · 2021 Fall导师：Shuai WANGCSE 简历 · Google Scholar · DBLP · ORCID · GitHub DBLP 近三年 2 GitHub 关注 1 Stars 0	2017–2021 Wuhan University BEng, Computer Science and Technology 2021– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Shuai Wang；Xiaowen Chu	高性能、资源高效与安全的 GPU 云平台 Alibaba Group, Cluster Management Group · Research Intern2020-10–2021-07 Microsoft Research Asia, Networking Research Group · Research Intern2020-07–2020-10
Dong ChenPhD · 2022 Fall导师：Shuai WANGCSE GitHub GitHub 关注 18 Stars 4	2022 Peking University BSc, Computer Science	Alibaba Cloud · Research Intern（本科毕业前后、入读 HKUST 前）2022-02–2022-08 Nokia Bell Labs · Research Intern（PhD 期间）2023-06–2023-09 Nokia Bell Labs · Research Intern（PhD 期间）2024-04–2024-10 与 Wei Wang 共同指导；Bell Labs mentor Ruichuan Chen
Sen DengPhD · 2023 Fall导师：Shuai WANGCSE	—
Yiteng PengPhD · 2023 Fall导师：Shuai WANGCSE	USTC BEng, Computer Science	software testing、privacy-enhancing technologies 与 AI systems 的可靠性和安全 2023 年曾以 USTC 本科研究者身份来组
Xunguang WangPhD · 2023 Fall导师：Shuai WANGCSE Google Scholar	2019 China University of Geosciences, Wuhan BEng 2022 Harbin Institute of Technology, Shenzhen MEng	AI/LLM security、adversarial ML 硕士导师 Zheng Zhang
Zhaoyu WangPhD · 2023 Fall导师：Shuai WANGCSE GitHub GitHub 关注 19 Stars 8	2023 Tongji University Bachelor, Data Science and Technology	privacy-preserving and verifiable data management、ZKP analytic workflows 2022–2023 年曾以本科研究者或 RA 身份在组内研究
Kuan LiPhD · 2023 Fall导师：Shuai WANGCSE	—	与 Minhao Cheng 共同指导
Yanbo DaiPhD · 2024 Fall导师：Shuai WANGCSE	—
Ruixuan HuangPhD · 2024 Fall导师：Shuai WANGCSE	—
Zongyi LyuPhD · 2024 Fall导师：Shuai WANGCSE 简历 · GitHub GitHub 关注 1 Stars 0	2024 Harbin Institute of Technology, Shenzhen Bachelor	SE for AI、coding-agent testing、causality-based analysis 与 Shing-Chi Cheung 共同指导；本科导师 Cuiyun Gao
Liwen WangPhD · 2024 Fall导师：Shuai WANGCSE	—
Yuchong XiePhD · 2024 Fall导师：Shuai WANGCSE	—	与 Dongdong She 共同指导
Zhantong XuePhD · 2024 Fall导师：Shuai WANGCSE	—
Kunpeng ZhangPhD · 2024 Fall导师：Shuai WANGCSE	—
Yudong GaoPhD · 2025 Fall导师：Shuai WANGCSE	—
Xing HanPhD · 2025 Fall导师：Shuai WANGCSE	—
Mingyuan HuangPhD · 2025 Fall导师：Shuai WANGCSE	—
Zimo JiPhD · 2025 Fall导师：Shuai WANGCSE	—
Gengyang XuPhD · 2025 Fall导师：Shuai WANGCSE	—
Zheng ZhangPhD · 2025 Fall导师：Shuai WANGCSE	—
Yuguang ZhouPhD · 2025 Fall导师：Shuai WANGCSE	—
Hetian ShiPhD · 2026 Fall导师：Shuai WANGCSE	—
Taojie WangPhD · 2026 Fall导师：Shuai WANGCSE	—
Xinzhi ZhangPhD · 2026 Fall导师：Shuai WANG	—
Jeremy KulcsarPhD · 2026 Fall导师：Shuai WANGCSE	—	与 Georgios Korpas 共同指导
Xin WeiRA · 2025 Winter导师：Shuai WANG	—
Yifan MoRA · 2026 Spring导师：Shuai WANG	—
Daoyuan Wu校友 · Research Assistant Professor · 2024–2025导师：Shuai WANG	—	Assistant Professor @ Lingnan University
Wenxuan Wang校友 · Postdoc · 2024–2025导师：Shuai WANG	—	Assistant Professor @ Renmin University of China 国家级高层次青年人才计划
Hengcheng Zhu校友 · Postdoc · 2026导师：Shuai WANG	—
Zhibo Liu校友 · PhD · 2019–2023导师：Shuai WANGCSE	2023 HKUST PhD	PhD 论文：Towards Assessing and Enhancing Modern Software Reverse Engineering Associate Professor @ Nanjing University RGC Postdoc Fellow 2023–2025；国家级高层次青年人才计划；2023 CSE Best PhD Dissertation Award — Honorable Mention
Huaijin Wang校友 · PhD · 2019–2023导师：Shuai WANGCSE	2023 HKUST PhD	PhD 论文：Advanced Binary Similarity Analysis and Its Downstream Applications Professor @ Shandong University 2024–2026 任博士后；国家级高层次青年人才计划
Yuanyuan Yuan校友 · PhD · 2020–2024导师：Shuai WANGCSE	2024 HKUST PhD	PhD 论文：Side Channel Analysis for AI Infrastructures Assistant Professor @ Tsinghua University 国家级高层次青年人才计划；2024 CSE Best PhD Dissertation Award
Pingchuan Ma校友 · PhD · 2020–2024导师：Shuai WANGCSE	2024 HKUST PhD	PhD 论文：Algorithms, Applications, and Verification of Causal Structure Learning Professor @ Zhejiang University of Technology 2024–2025 任博士后；国家级高层次青年人才计划；HKUST Engineering PhD Research Excellence Award 2024–2025；2025 CSE Best PhD Dissertation Award
Zongjie Li校友 · PhD · 2021–2025导师：Shuai WANGCSE	2025 HKUST PhD	PhD 论文：Enhancing and Hardening Neural Code Model 2025 Ant InTech Technology Scholarship
Dongwei Xiao校友 · PhD · 2021–2025导师：Shuai WANGCSE	2025 HKUST PhD	PhD 论文：Improving the Reliability of Privacy-Enhancing Technology (PET) Systems
Zhenlan Ji校友 · PhD · 2021–2025导师：Shuai WANGCSE	2025 HKUST PhD	PhD 论文：Causality-Driven Interpretation and Inspection of Deep Learning Systems Assistant Professor @ Nara Institute of Science and Technology (NAIST), Japan
Hongyi LuPhD · 2022–2026导师：Shuai WANGCSE	2022–2026 HKUST PhD	PhD 论文：Memory Isolation in Modern Computing System Researcher @ NIO
Kun Hung LUNG校友 · MPhil · 2019–2021导师：Shuai WANG	2019–2021 HKUST MPhil, CSE	MPhil 论文：Sanitizer Check Debloating with Reinforcement Learning Engineer, cybersecurity startup
Wei Chen校友 · MPhil · 2019–2021导师：Shuai WANG	2019–2021 HKUST MPhil, CSE	MPhil 论文：Synthesizing High-Quality System Call Traces for OS Fuzz Testing PhD, HKUST
Qi Pang校友 · MPhil · 2020–2022导师：Shuai WANG	2020–2022 HKUST MPhil, CSE	MPhil 论文：Testing Models Solving Markov Decision Processes PhD, Carnegie Mellon University
Sen Li校友 · MPhil · 2022–2024导师：Shuai WANGCSE	2022–2024 HKUST MPhil, CSE	MPhil 论文：Towards Trustworthy Visual Generative Models: Reliable and Controllable Generation of Diffusion Models PhD, Penn State 与 Minhao Cheng 共同指导
Yichen Li校友 · MPhil · 2022–2024导师：Shuai WANGCSE	2022–2024 HKUST MPhil, CSE	MPhil 论文：Testing Secure Multi-Party Computation Compilers PhD, SUSTech
Ao Sun校友 · MPhil · 2023–2025导师：Shuai WANGCSE	2023–2025 HKUST MPhil, CSE 2023 University of Illinois Urbana-Champaign 本科在读	MPhil 论文：Enabling Explainable AI with Transformer Models: Opportunities and Limitations in Visual and Textual Concept Generation R&D Engineer, Huawei 2012 2023 年本科研究者条目列其后续去向为 HKUST PhD
LAU Pak Hin校友 · Undergraduate researcher · 2024导师：Shuai WANG	—
Yigit Sen校友 · Undergraduate researcher · 2024导师：Shuai WANG	—
Kaiwen Yang校友 · Research Assistant · 2024导师：Shuai WANG	—	PhD, Australian National University
Sarthak Singhal校友 · Undergraduate researcher · 2023导师：Shuai WANG	—	Security Intern, Deloitte
Qi Wu校友 · 2022-2023 · 2022–2023导师：Shuai WANG	—	MS, Carnegie Mellon University
Wenbo Li校友 · 2022-2023 · 2022–2023导师：Shuai WANG	—	MS, University of Southern California
Qihao He校友 · 2022-2023 · 2022–2023导师：Shuai WANG	—	MS, Texas A&M University
Wangkai Jin校友 · Research Intern · 2021导师：Shuai WANG	—	MSCS, Duke University
Yujie Wang校友 · 2020-2021 · 2020–2021导师：Shuai WANG	—	PhD, Washington University in St. Louis
Xirui Nie校友 · Research Intern · 2020导师：Shuai WANG	—	PhD, CUHK
Reiff Loris校友 · Undergraduate researcher导师：Shuai WANG	ETH Zurich 本科在读	Master, ETH Zurich
Nguyen Andy校友 · Undergraduate researcher导师：Shuai WANG	ETH Zurich 本科在读	Information Security Engineer, Google
Han Liu校友 · Postdoc · 2024–2026导师：Shuai WANG	—	Associate Professor, Nankai University
Congying Xu校友 · Postdoc · 2026导师：Shuai WANG	—	Research Scientist, Tencent Hunyuan
Zeyu QinPhD导师：Shuai WANGCSE	—
Xingzhi ZhangPhD导师：Shuai WANGCSE	—
Kaihua FuPostdoc · 2024–导师：Wei WANG	UESTC BSc Shanghai Jiao Tong University PhD
Wei GaoPostdoc · 2025–导师：Wei WANG GitHub · Google Scholar GitHub 关注 93 Stars 52	2019 Beihang University BEng Nanyang Technological University PhD	RL post-training systems、agentic AI infrastructure、world-model training/serving Alibaba Group · Researcher（个人主页列与 HKUST postdoc 并行）博士导师 Yonggang Wen、Tianwei Zhang；ROLL 核心贡献者
Wangbo ZhaoPostdoc · 2026–导师：Wei WANG	Northwestern Polytechnical University BSc Northwestern Polytechnical University MSc NUS PhD
Dong ChenPhD · 2022–导师：Wei WANGCSE GitHub GitHub 关注 18 Stars 4	2022 Peking University BSc, Computer Science	Alibaba Cloud · Research Intern（本科毕业前后、入读 HKUST 前）2022-02–2022-08 Nokia Bell Labs · Research Intern（PhD 期间）2023-06–2023-09 Nokia Bell Labs · Research Intern（PhD 期间）2024-04–2024-10 与 Shuai Wang 共同指导；HKUST RedBird Scholarship；曾在北京大学担任 TA；Bell Labs mentor Ruichuan Chen
Haoxuan YuPhD · 2022–导师：Wei WANGCSE	2022 USTC School of the Gifted Young BEng, Computer Science and Technology	HKUST RedBird Scholarship
Yuheng ZhaoPhD · 2022–导师：Wei WANGCSE	2022 Fudan University BSc, Computer Science and Technology	Microsoft Research Asia · Research Intern（本科期间） 2021 年参加 University of Chicago 研究项目；Microsoft Research Asia Stars of the Future Award
Hanfeng LuPhD · 2023–导师：Wei WANGCSE	2022-12 Grinnell College BA, Mathematics and Computer Science	本科研究：Representation Theory、Programming Language Theory、Reinforcement Learning、Linux Kernel 本科期间担任 CS 系 TA 和 peer mentor
Tianyuan WuPhD · 2024–导师：Wei WANGCSE	2021 ShanghaiTech University, School of Information Science and Technology BEng	Microsoft Research Asia · Research Intern（2024 入读 PhD 前）2022–2023 本科获 Excellent Undergraduate Thesis Award、Outstanding Undergraduate Award；Microsoft Research Asia Stars of the Future Award
Sheng YaoPhD · 2024–导师：Wei WANGCSE Google Scholar · GitHub GitHub 关注 0 Stars 0	2022 Ohio State University BSc, CSE	distributed ML systems、AI infrastructure Alibaba Cloud · Research Intern（PhD 期间，主页列当前） Magna Cum Laude；Ganobcik Family/Genesis Endowed Scholarship；入读 PhD 前在 SJTU IPADS 随 Zhaoguo Wang 任 RA 一年
Chaokun ChangPhD · 2024–导师：Wei WANGCSE	Fudan University BSc, Computer Science and Technology CUHK MPhil, CSE	Microsoft Shanghai · Intern AWS AI Lab Shanghai · Intern, ML systems 与 Bo Li 共同指导；Outstanding Undergraduate Award、Fanhai Scholar Award
Yukun ZhouPhD · 2024–导师：Wei WANGCSE GitHub GitHub 关注 24 Stars 4	2021 Nanjing University BEng, Software 2024 Tsinghua University MEng, Software	ML systems、distributed time-series DBMS 与 Binhang Yuan 共同指导；硕士导师 Jianmin Wang、Xiangdong Huang；2021 年南京大学优秀毕业生；Apache IoTDB Committer，2021-03–2024-06 开发维护时序元数据存储引擎
Xiaoxiao JiangPhD · 2024–导师：Wei WANGCSE	2024 Zhejiang University BEng, Computer Science and Technology	Outstanding Engineer Scholarship、First Class Scholarship
Lunxi CaoPhD · 2024–导师：Wei WANGCSE	2024 Tsinghua University BEng, Computer Science and Technology	2023 年 Academic Excellence Scholarship
Peng Ye校友 · PhD · 2026导师：Wei WANGCSE	2021 Tsinghua University BEng, Computer Science (IIIS / Yao Class) 2026 HKUST PhD	privacy-preserving machine learning 与 Bo Li 共同指导
Suyi Li校友 · PhD · 2025导师：Wei WANGCSE	2018 BUPT BSc, IoT Engineering 2019 Yale University MSc, Computer Science 2025 HKUST PhD	2015、2016 年 National Scholarship
Lingyun Yang校友 · PhD · 2025导师：Wei WANGCSE	2020 South China University of Technology, School of Computer Science and Engineering BEng 2025 HKUST PhD	Microsoft Research Asia · Research Intern（本科期间，一年） Senior Software Engineer (P7) in Alibaba under the Alibaba Star (阿里星) program. National Scholarship；本科期间参加编程竞赛并获奖
Zhifeng Jiang校友 · PhD · 2024导师：Wei WANGCSE DBLP · ORCID DBLP 近三年 8	2019 Zhejiang University BEng, Computer Science and Technology 2024 HKUST PhD	UC San Diego · Intern Huawei Research Institute · Intern Research Scientist at Huawei Technologies. Zhejiang Outstanding Graduate；2017 年 National Scholarship、He Zhijun Scholarship；2018 年浙江日报与阿里巴巴联合资助的 New Media Scholarship；曾在浙江大学担任 TA
Minchen Yu校友 · PhD · 2023导师：Wei WANGCSE LinkedIn · GitHub · Google Scholar · ORCID GitHub 关注 39 Stars 73	2018 Nanjing University, School of Software BSc 2023 HKUST PhD	Assistant Professor, School of Data Science , The Chinese University of Hong Kong, Shenzhen . National Scholarship、Huawei PhD Fellowship
Qizhen Weng校友 · PhD · 2022导师：Wei WANG 简历 · GitHub · DBLP · ORCID DBLP 近三年 12 GitHub 关注 139 Stars 3	2017 Shanghai Jiao Tong University, School of Information Security Engineering BEng 2022 HKUST PhD University of California, Berkeley Exchange student	Systems Researcher at the Shanghai AI Lab . Shanghai Outstanding Graduate；2016 年 CIDF Cyber-Security Scholarship；HKPFS 2017–2020
Huangshi Tian校友 · PhD · 2022导师：Wei WANG	Zhejiang University BEng, Computer Science and Technology 2022 HKUST PhD	Postdoctoral Fellow at the University of Toronto. 2014、2015 年 National Scholarship；HKPFS 2017–2020
Da Yan校友 · PhD · 2022导师：Wei WANG 简历 · GitHub GitHub 关注 0 Stars 0	2016-07 HUST, School of Electronic Information and Communications BEng 2022 HKUST PhD	Systems Researcher at Anthropic , New York City, NY, USA.
Mingzhe Li校友 · PhD · 2022导师：Wei WANG	2016-07 SUSTech BEng 2022 HKUST PhD	Research Scientist at A*STAR . HKUST–SUSTech 联合博士项目；与 Jin Zhang 共同指导
Luping Wang校友 · PhD · 2021导师：Wei WANG	2016 Tsinghua University BEng, Automation 2021 HKUST PhD	用机器学习优化大规模系统的运行与资源管理 Senior Software Engineer (P7) in Alibaba Cloud Intelligence under the Alibaba Star (阿里星) program. 与 Bo Li 非正式共同指导
Chengliang Zhang校友 · PhD · 2021导师：Wei WANG 简历 · LinkedIn · Google Scholar · GitHub GitHub 关注 79 Stars 152	2016-07 Harbin Institute of Technology, School of Software BEng 2021 HKUST PhD	Data Scientist at Seleya Technologies (a FinTech Startup in HK). HKPFS 2016–2019
Yinghao Yu校友 · PhD · 2019导师：Wei WANG	2015-07 Fudan University BSc, Electrical Engineering 2019 HKUST PhD UCLA Exchange student	Senior Software Engineer (P7) in Alibaba Cloud Intelligence under the Alibaba Star (阿里星) program. 与 Khaled B. Letaief 共同指导；HKPFS 2015–2018
Chen Chen校友 · PhD · 2018导师：Wei WANG DBLP · ORCID DBLP 近三年 57	2014 Tsinghua University BEng, Automation 2014–2018 HKUST PhD	Research Scientist at Huawei Research Lab, Hong Kong; then an Associate Professor, John Hopcroft Center for Computer Science, Shanghai Jiao Tong University . 与 Bo Li 共同指导；2013 年夏在 UC Santa Barbara 任 RA
Yunchuan Zheng校友 · MPhil · 2023导师：Wei WANGCSE	2019 Southeast University BEng, CSE 2023 HKUST MPhil	2016、2017 年 National Scholarship；Huawei PhD Fellowship
Xiandong Qi校友 · MPhil · 2019导师：Wei WANG	2016 SUSTech BEng 2019 HKUST MPhil	Software Engineer at AQUMON , Hong Kong. 与 SUSTech 的 Jin Zhang 共同指导；本科期间在 HKU 任 RA
Qinkai Duan校友 · Research Intern · 2024-06–2025-05导师：Wei WANG	2025 HKUST BSc	PhD, CSE, CUHK
Hao Wu校友 · Visiting PhD student · 2023-12–2024-12导师：Wei WANG	2025 HUST PhD	Postdoc, Computer Science, HKU
Pu Guo校友 · Research Intern · 2024-06–2024-09导师：Wei WANG	2023 University of Wisconsin–Madison BSc	MSc, CSE, UC San Diego
Shiqi He校友 · Research Intern · 2023-06–2023-08导师：Wei WANG	2020 Hong Kong Polytechnic University BSc 2023 University of British Columbia MASc	PhD, CSE, University of Michigan
Zhuohao Li校友 · Undergraduate Intern · 2023-02–2023-06导师：Wei WANG	2023 Shanghai Jiao Tong University BSc	PhD, Computer Science, UCLA
Tingjia Cao校友 · Research Intern · 2021-04–2021-08导师：Wei WANG	2020 Fudan University BSc, Computer Science and Technology	high-performance serverless computing systems PhD, Computer Science, University of Wisconsin–Madison
Junzhe Xia校友 · Undergraduate Intern · 2019–2021导师：Wei WANG	2021 HKUST BSc	MS, Computer Science, Stanford University
Baichen Yang校友 · Undergraduate Intern · 2018–2021导师：Wei WANG	2021 HKUST BSc	PhD, CSE, HKUST
Huancheng Puyang校友 · Undergraduate Intern · 2019–2021导师：Wei WANG	2021 HKUST BSc	PhD, CSE, CUHK
Xiaohe Cheng校友 · Undergraduate Intern · 2018–2019导师：Wei WANG	2020 HKUST BSc	Google
Shengkai Zhang校友 · Research Intern · 2015-10–2016-07导师：Wei WANG	HKUST MPhil	PhD, Electronic Information and Communications, HUST
A-Long Jin校友 · Research Intern · 2016-01–2016-06导师：Wei WANG	University of New Brunswick MSc	PhD, ECE, University of Waterloo
Jiayu AnPhD导师：Wei WANGCSE	—	共同指导
Xinyue TaoPhD导师：Wei WANGCSE	—
Yining WeiPhD导师：Wei WANGCSE	—
Tianyu FengPhD导师：Wei WANGCSE	—
Yuchen YangPhD导师：Wei WANGCSE	—
Dakai AnMPhil导师：Wei WANGCSE	—
Heyang SunMPhil导师：Wei WANGCSE	—	共同指导
Zhili Wang校友 · PhD · 2024导师：Wei WANGIndividualized Interdisciplinary Program (Data Science and Analytics)	2024 HKUST PhD	共同指导
Jiaying LinPostdoc Researcher导师：Dan XU	City U HK
Lian XuVisiting Postdoc Researcher导师：Dan XU	UWA
Fating Hong校友 · PhD, CSE · 2021–2026导师：Dan XU Google Scholar · GitHub · X · LinkedIn GitHub 关注 155 Stars 3,736	2018 South China University of Technology Bachelor, Computer Science and Technology 2021 Sun Yat-sen University Master, Computer Science and Technology 2026 HKUST PhD, Computer Science 2026 HKUST PhD, CSE SYSU	音视学习、数字人生成、人体动作编辑 Postdoctoral Fellow, KAUST；与 Peter Wonka 合作
Zhenxing Mi校友 · PhD, CSE · 2026导师：Dan XU 简历 · Google Scholar · GitHub GitHub 关注 126 Stars 667	Huazhong University of Science and Technology Bachelor, Automation Huazhong University of Science and Technology Master, Automation 2026 HKUST PhD, CSE HUST	多模态理解与生成、三维／四维重建、世界模型 Snap Research · Research Intern2024
Yang CaoPhD, CSE导师：Dan XU overleaf.com · X · Google Scholar · GitHub · LinkedIn · DBLP · ORCID · OpenAlex DBLP 近三年 12 OpenAlex 近三年 4 引用 22 h-index 3 GitHub 关注 116 Stars 655	Nankai U.	Megvii · Research Intern2019-04–2019-07
Yuxin WangPhD, CSE导师：Dan XU 简历 · Google Scholar · GitHub GitHub 关注 68 Stars 309	2019 USTC Bachelor USTC	三维操作、空间推理、结构化可编辑三维系统 SenseTime · Intern / Researcher2019–2022 Tencent · Research Intern2025–
Qicheng WangPhD, IIP (Robotics and Autonomous Systems)导师：Dan XU DBLP 近三年 16	HIT	co-supervised with Michael Yu Wang
Qi WangPhD, IIP (Robotics and Autonomous Systems)导师：Dan XU GitHub · Google Scholar GitHub 关注 6 Stars 34	SUSTech	co-supervised with Michael Yu Wang
Shuling ZhaoPhD, CSE导师：Dan XU Google Scholar · GitHub GitHub 关注 4 Stars 90	Tsinghua University Bachelor, Electronic Engineering Tsinghua U.	视频与音频驱动数字人生成、可动画三维人体
Yingji ZhongPhD, CSE导师：Dan XU Google Scholar · GitHub GitHub 关注 26 Stars 218	Peking University Master Peking U.	新视角合成、三维重建、世界模型的三维一致性
Jaehyeok KimPhD, CSE导师：Dan XU Google Scholar · GitHub GitHub 关注 12 Stars 20	HKUST Bachelor, Computer Science HKUST	三维场景重建编辑、动态人体 NeRF／3DGS Naver Clova · Research Intern
Xunzhi ZhengPhD, CSE导师：Dan XU	SJTU
Shaocong DongPhD, CSE · 2023–导师：Dan XU Google Scholar · GitHub GitHub 关注 12 Stars 357	2020 Beijing Institute of Technology BSc, Optoelectronics Information Science and Engineering 2023 Beijing Institute of Technology MSc, Optoelectronics Information Science and Engineering 2023– HKUST PhD, CSE BIT	高质量可控三维生成、扩散模型与 NeRF SenseTime · Research Intern2023-05–2023-09 Qcraft · Research Intern
Zedong (Jacky) WangPhD, CSE导师：Dan XU Google Scholar · X · LinkedIn · GitHub GitHub 关注 25 Stars 0	Huazhong University of Science and Technology BEng HUST	多任务学习、多模态理解与生成、模型架构 Apple AIML · Research Intern2026-03–2026-09
Jinfeng LiuPhD, CSE导师：Dan XU Google Scholar · GitHub GitHub 关注 15 Stars 187	2021 Shanghai Jiao Tong University Bachelor 2024 Shanghai Jiao Tong University Master SJTU	三维／四维重建、空间智能、世界模型
Chi YanPhD, CSE导师：Dan XU Google Scholar · GitHub GitHub 关注 37 Stars 302	2022 Northwestern Polytechnical University Bachelor 2022–2023 Shanghai Jiao Tong University PhD programme（离开项目） NWPU	多模态理解与空间智能
Yucheng WangPhD, CSE · 2024–导师：Dan XU X · LinkedIn · GitHub · Google Scholar · Semantic Scholar S2 近三年 6 引用 145 h-index 3 GitHub 关注 26 Stars 2	2023 ETH Zurich Exchange, Computer Science 2024 HKUST BSc, Computer Science; BEng, Electronic Engineering 2024– HKUST PhD, Computer Science HKUST	视觉语言模型、生成模型、三维表示 SmartMore · Research Intern2023-11–2024-01 ETH Zurich Computer Vision Laboratory · Research Intern2023-08–2023-11
Zipeng WangPhD, CSE导师：Dan XU 简历 · Google Scholar · GitHub GitHub 关注 7 Stars 210	Beihang University BEng HKUST (Guangzhou) MPhil HKUST(GZ)	高效三维重建与感知、事件相机现于 HKUST 跟随 Dan Xu 读博；此前 MPhil 在 HKUST (Guangzhou)，导师 Lin Wang
Qin GuoPhD, CSE · 2025–导师：Dan XU GitHub GitHub 关注 151 Stars 3,314	2022 Xidian University BEng, Information Security 2025 Peking University MS, Computer Science 2025– HKUST PhD, Computer Science Peking U.	图像视频生成编辑、交互世界模型 Alibaba DAMO Academy · Research Intern2024–2025 Pika Labs · Research Intern2024 Meituan · Research Intern2025–2026
Naman PorwalUndergraduate (Intern)导师：Dan XU	Indian Institute of Technology (IIT) Undergraduate
Zichen LiuUndergraduate (Intern)导师：Dan XU	HKUST Undergraduate
Hanrong Ye校友 · PhD, CSE · 2025导师：Dan XU	2025 HKUST PhD, CSE	Research Scientist at Nividia Research in Carlifornia , USA
Lewei Yao校友 · PhD, CSE · 2025导师：Dan XU	2025 HKUST PhD, CSE	Research Scientist at Huawei's Noah's Ark Lab in Hong Kong
Yuzhang Shang校友 · Visiting PhD Student导师：Dan XU Google Scholar · GitHub · LinkedIn GitHub 关注 32 Stars 372	—	Assistant Professor at University of Central Florida (UCF) , USA
Jingdong Zhang校友 · Research Assistant导师：Dan XU GitHub GitHub 关注 18 Stars 148	—	PhD candidate at Texas A&M University (TAMU) , USA
Siwei Yang校友 · Visiting Student导师：Dan XU	—	PhD candidate at University of California, Santa Cruz (UCSC) , USA
Yongtuo Liu校友 · PG Visiting Student导师：Dan XU	—	PhD candidate at University of Amsterdam (UVA) , Netherland
Yuanliang Ju校友 · UG Visiting Student导师：Dan XU	—	PhD candidate at University of Toronto (UoT) , Canada
Di Chang校友 · UG Visiting Student导师：Dan XU	—	PhD candidate at University of Southern California (USC) , USA
Xiaoyue Xu校友 · UG Visiting Student导师：Dan XU Google Scholar · GitHub · X GitHub 关注 12 Stars 3	—	PhD Candidate at Tsinghua University , China
GAO, YuanyuanPhD, CSE导师：Dan XU	—
GUO, ZilinPhD, CSE导师：Dan XU	—
RUAN, HongzhiPhD, CSE导师：Dan XU	—
ZHANG, TianruiPhD, CSE导师：Dan XU	—
MEI, Xiaodong校友 · PhD, CSE · 2026导师：Dan XU	2026 HKUST PhD, CSE
Xi WangResearch Assistant Professors导师：Hao CHEN GitHub · Google Scholar GitHub 关注 4 Stars 2	2013 Southwest University BEng, Software Engineering 2016 Sichuan University MSc, Computer Science and Technology 2020 CUHK PhD, CSE	医疗图像、复杂系统与医学物理
Hua-jun ZhouPostdoctoral Fellows导师：Hao CHEN GitHub 关注 32 Stars 248	—
Zheng-rui GuoPostdoctoral Fellows导师：Hao CHEN GitHub 关注 30 Stars 160	2026 HKUST PhD, CSE
Zi-yi LiuPostdoctoral Fellows导师：Hao CHEN GitHub 关注 2 Stars 11	—
Zhe XuPostdoctoral Fellows · 1997导师：Hao CHEN Google Scholar · GitHub GitHub 关注 7 Stars 25	2019 Xidian University BEng, Electronic Science and Technology 2024 Xidian University PhD, Electronic Science and Technology	多模态学习、视频理解、计算病理
Hong-Yi WangPostdoctoral Fellows导师：Hao CHEN	—	三维医学影像、计算病理、轻量模型
Yi-Jie LinPostdoctoral Fellows导师：Hao CHEN	Sichuan University PhD	稳健多模态自监督学习、交互与 agent 多模态学习、医疗 AI
Cheng JinPhD, CSE导师：Hao CHEN GitHub · Google Scholar GitHub 关注 30 Stars 60	UESTC 本科	病理图像分析、医疗影像基础模型
Feng-tao ZhouPhD, CSE导师：Hao CHEN	—
Hong-mei WangPhD, CSE导师：Hao CHEN GitHub 关注 7 Stars 1	—
Jia-bo MaPhD, CSE导师：Hao CHEN GitHub 关注 34 Stars 275	—
Jia-xin ZhuangPhD, CSE导师：Hao CHEN GitHub GitHub 关注 32 Stars 150	—
Juyoung BaePhD, CSE导师：Hao CHEN GitHub 关注 4 Stars 19	—
Wen-qiang LiPhD, CSE导师：Hao CHEN	—
Xiao-yu ZhengPhD, CSE导师：Hao CHEN GitHub 关注 3 Stars 3	—
Ying-xue XuPhD, CSE · 2022–导师：Hao CHEN	2019 South China University of Technology BEng, Computer Science 2022 South China University of Technology MSc, Computer Science 2022– HKUST PhD	计算病理、空间转录组、癌症多组学
Yu CaiPhD, ECE · 2022–导师：Hao CHEN 简历 · LinkedIn · GitHub · Google Scholar · ORCID · OpenAlex OpenAlex 近三年 18 引用 263 h-index 8 GitHub 关注 52 Stars 217	2022 Huazhong University of Science and Technology BEng, Electronic Information and Communications 2022– HKUST PhD, ECE	医学影像异常检测、计算病理、模型压缩 Co-supervision；共同指导
Ze-lin QiuPhD, CSE导师：Hao CHEN	—
Lin-shan WuPhD, CSE导师：Hao CHEN GitHub 关注 152 Stars 995	—
Shu YangPhD, CSE导师：Hao CHEN GitHub 关注 40 Stars 450	—
Su-nan HePhD, CSE · 2023–导师：Hao CHEN	2016–2020 Hefei University of Technology BS, Automation 2020–2023 Tsinghua University ME, Artificial Intelligence 2023– HKUST PhD, CSE	医学多模态基础模型、可解释医学 AI、临床智能体与长程工作流 Tencent YouTu · Researcher2021-07–2023-01 Microsoft Research Asia AI4Science · FA Talent2023-01–2023-07 JD Health TGT Project · Research Intern2026-04–
Wei-wen ZhangPhD, CSE · 2023-09–导师：Hao CHEN	2022 HKUST BSc, Data Science 2023 University of Hong Kong MSc, Computer Science 2023-09– HKUST PhD, CSE	计算病理学、内存高效学习 Co-supervision；共同指导
Ye-quan BiePhD, CSE导师：Hao CHEN	South China University of Technology BEng (Honors) UC Berkeley Visiting student, EECS	可信多模态基础模型、智能体、后训练与世界模型
Yi-hui WangPhD, CSE导师：Hao CHEN	—
Yu-xiang NiePhD, CSE · 2023–导师：Hao CHEN	2016–2020 Beijing Institute of Technology Bachelor 2023 Beijing Institute of Technology Master 2023– HKUST PhD, CSE	医学基础模型、医学智能体、自然语言处理与计算机视觉
Zhi-yuan CaiPhD, CSE导师：Hao CHEN GitHub 关注 8 Stars 33	—
Ali AbdollahiPhD, CSE导师：Hao CHEN GitHub 关注 3 Stars 0	—
Chen-Ran HuangPhD, CSE导师：Hao CHEN	—
De-Jia CaiPhD, CSE导师：Hao CHEN GitHub 关注 1 Stars 3	—
Jia-Rui Ou-YangPhD, CSE导师：Hao CHEN GitHub 关注 4 Stars 12	—
Ling LiangPhD, CSE导师：Hao CHEN	—
Qi-bo YuanPhD, CSE导师：Hao CHEN GitHub 关注 0 Stars 0	—
Qian ZengPhD, CSE导师：Hao CHEN GitHub 关注 5 Stars 28	—
Yi-Hang GaoPhD, CSE导师：Hao CHEN GitHub 关注 0 Stars 0	—
Zhi-xuan ChenPhD, CSE导师：Hao CHEN	2023 UESTC BEng, Electronic Science and Engineering 2023-09– HKUST PhD, CSE 2025 HKUST MPhil, CSE	多模态对齐、三维编码、区域理解与生成、强化学习后训练
Ke XuPhD, CSE导师：Hao CHEN GitHub 关注 0 Stars 0	—
Chen YuxiPhD, CSE导师：Hao CHEN	—
GAO RuiPhD, CSE导师：Hao CHEN Google Scholar · GitHub GitHub 关注 1 Stars 14	Fudan University BS UCLA MS	科学发现智能体、视觉语言模型与 LLM 强化学习
KWAK DowonPhD, CSE导师：Hao CHEN	—
Run-sheng LiuPhD, CSE导师：Hao CHEN	—
Siyuan DuanPhD, CSE导师：Hao CHEN Google Scholar · GitHub · ORCID · OpenAlex OpenAlex 近三年 6 引用 55 h-index 4 GitHub 关注 17 Stars 119	—	large vision-language models、foundation models for healthcare、physics-informed neural networks Alibaba · Research Intern2026-01–
Sylvia Chung Yan ShanPhD, CSE导师：Hao CHEN GitHub 关注 7 Stars 3	—
Xu JiahaoPhD, CSE导师：Hao CHEN Google Scholar · GitHub · LinkedIn GitHub 关注 15 Stars 51	2026 Wuhan University BEng, Computer Science, Hongyi Honors	医学图像、多模态基础模型与智能体
Juwon ParkMPhil, CSE导师：Hao CHEN	—
Lee HyunjinMPhil, CSE导师：Hao CHEN	—
Lu-yang Luo校友 · Alumni导师：Hao CHEN	—	Assistant Professor at Yale University
Hai-bo Jin校友 · PhD, CSE · 2025导师：Hao CHEN	2025 HKUST PhD, CSE 2025 HKUST PhD	Inception Institute of Artificial Intelligence, Abu Dhabi · Algorithm Engineer2019–2021 Alibaba DAMO Academy · Senior Algorithm Engineer Senior Algorithm Engineer, Alibaba DAMO Academy, Hangzhou
Hao-xuan Che校友 · PhD, CSE · 2025导师：Hao CHEN	Northwestern Polytechnical University BEng (Honors) 2025 HKUST PhD, CSE 2025 HKUST PhD	世界模型、多模态生成、AI 智能体 Huawei Hong Kong AI Lab · Principal Researcher Independent Researcher
Yi Lin校友 · PhD, CSE · 2024导师：Hao CHEN Google Scholar · ORCID · LinkedIn · GitHub · DBLP · OpenAlex · Semantic Scholar OpenAlex 近三年 37 引用 1,407 h-index 20 GitHub 关注 0 Stars 0	2016 Huazhong University of Science and Technology BE 2020 Huazhong University of Science and Technology ME 2024 HKUST PhD, CSE	数据高效、可信且面向临床的医学影像与多模态 AI Tencent Jarvis Lab · Full-time Researcher博士入学前 Postdoctoral Associate, Weill Cornell Medicine，合作导师 Yifan Peng
Ru-shan Zhang校友 · Alumni导师：Hao CHEN	2020–2024 HKUST BEng, Aerospace Engineering; BSc, Computer Science 2024– Georgia Tech PhD, Computational Science and Engineering 2024–2026 Georgia Tech MS, Mathematics	本科阶段参与医学 AI；博士阶段研究计算等离子体物理 PhD student, Georgia Tech
Hao Jiang校友 · PhD, CSE · 2026导师：Hao CHEN Google Scholar · GitHub · ORCID · OpenAlex GitHub 关注 4 Stars 9	2022 Waseda University MS 2022 UESTC MS, dual degree 2026 HKUST PhD, CSE	计算病理学、细胞学与生物学 Postdoctoral Fellow at Macau University of Science and Technology
Ren-ao Yan校友 · Alumni · 2023-07–2023-12导师：Hao CHEN	2021 Hunan University BSE, Communication Engineering 2024 Tsinghua University MS, Electronic Information 2024-09– University of Washington PhD, Mechanical Engineering	计算病理学、多实例学习、神经架构搜索与量化 PhD student, University of Washington
Jun-lin Hou校友 · Alumni导师：Hao CHEN	—	Associate Editor at Nature Medicine
CHENG, Ngai ShingPhD, CSE导师：Hao CHEN	—
HU, YikePhD, Civil Engineering导师：Hao CHEN	—	共同指导
DAI, RuyiPhD, CSE导师：Hao CHEN	—
NG, Ting KwongPhD, CSE导师：Hao CHEN	—
RUAN, YuyanPhD, Bioengineering导师：Hao CHEN	—	共同指导
WANG, MinghaoPhD, Bioengineering导师：Hao CHEN	—	共同指导
TAN, AndongPhD, CSE导师：Hao CHEN	—
SON, Moo Hyun校友 · MPhil, CSE · 2026导师：Hao CHEN	2026 HKUST MPhil, CSE
XIN, Yi校友 · MPhil, CSE · 2026导师：Hao CHEN	2026 HKUST MPhil, CSE
ZHAO, Chenyu校友 · MPhil, CSE · 2025导师：Hao CHEN	2025 HKUST MPhil, CSE
Zhen WangPostdoc导师：Long CHEN Google Scholar · GitHub GitHub 关注 0 Stars 0	Zhejiang University PhD, Computer Science and Technology · 导师 Jun Xiao	多模态生成与编辑
Lin LiResearch Assistant Professor · 2026–导师：Long CHEN GitHub · Google Scholar GitHub 关注 12 Stars 37	Zhejiang University PhD 2024 HKUST PhD	多模态大模型、具身智能与场景理解 Research Assistant Professor, HKUST CSE；合作导师 Tim Cheng、Long Chen with Prof. Tim Cheng
Yanghao WangPhD, CSE · 2024导师：Long CHEN Google Scholar GitHub 关注 0 Stars 59	Sichuan University BS Nanyang Technological University MS	流式视频交互与世界模型
Wei ChenPhD, CSE · 2024导师：Long CHEN	—
Jiazhen LiuPhD, CSE · 2024导师：Long CHEN Google Scholar · GitHub GitHub 关注 19 Stars 38	Shandong University, Weihai Bachelor, Computer Science Renmin University of China Master	图像匹配、多模态大模型、指代分割与推理
Chaolei TanPhD, CSE · 2024-09–导师：Long CHEN Google Scholar · GitHub GitHub 关注 6 Stars 0	2021 Sun Yat-sen University BEng, Telecommunication Engineering 2024 Sun Yat-sen University MEng, Computer Science and Technology 2024-09– HKUST PhD
Trung Kien PhamPhD, CSE · 2024导师：Long CHEN DBLP · ORCID · OpenAlex DBLP 近三年 9 OpenAlex 近三年 2 引用 0 h-index 0	HKUST BSc, Data Science and Computer Science 2024 HKUST MPhil, CSE	扩散模型、图像组合、视频生成 GMO-Z.com RUNSYSTEM · AI Intern2020-03–2020-05 viAct · AI Trainee2021-03–2021-08 with Prof. Qifeng Chen
Ziqi JiangPhD, CSE · 2025导师：Long CHEN Google Scholar · GitHub GitHub 关注 8 Stars 0	Zhejiang University BS	计算机视觉、机器学习、生成模型的理论与应用
Zhenqi HePhD, CSE · 2025–导师：Long CHEN Google Scholar · X · GitHub GitHub 关注 15 Stars 65	2018–2023 University of Hong Kong BSc, Mathematics; second major Computer Science 2023-09–2025-01 University of Hong Kong MSc, Artificial Intelligence 2025–2029 expected HKUST PhD, CSE	开放世界学习、多模态学习与组合泛化 Hong Kong Observatory · Research Intern2022-01–2023-01
Hongxu ChenPhD, CSE · 2025导师：Long CHEN GitHub GitHub 关注 6 Stars 2	USTC Bachelor, School of the Gifted Young USTC undergraduate	流匹配、扩散模型、模型合并与参数高效微调
Hongxiang LiPhD, CSE · 2025 秋季–导师：Long CHEN Google Scholar · GitHub GitHub 关注 2 Stars 0	Peking University Master	统一多模态模型与多模态大语言模型
Shaodong WangPhD, CSE · 2025导师：Long CHEN GitHub · Google Scholar GitHub 关注 3 Stars 0	UESTC Bachelor Peking University Master, Electronic and Computer Engineering	生成模型
Junzhang LiuPhD, CSE · 2025导师：Long CHEN Google Scholar · GitHub GitHub 关注 4 Stars 0	Syracuse University Bachelor Columbia University Master	自然语言处理与多模态推理
Yaoyang LiuPhD, CSE · 2025-09–导师：Long CHEN Google Scholar · GitHub GitHub 关注 6 Stars 1	2021-09–2025-06 University of Science and Technology of China BEng, Artificial Intelligence 2025-09– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Long Chen	高效、可控视频生成与交互式世界模型
Ruiliang GongPhD, CSE · 2026–导师：Long CHEN GitHub · LinkedIn · Google Scholar GitHub 关注 2 Stars 0	2022–2026 HKUST BEng, Computer Science; minor Mathematics 2025-02–2025-05 ETH Zurich Exchange, Computer Science 2026– HKUST PhD, CSE
Chun WangPhD, CSE · 2026导师：Long CHEN	Zhejiang University BEng, Computer Science, Turing Class	多模态学习
Mingzhi ChenPhD, CSE · 2026导师：Long CHEN Google Scholar · GitHub GitHub 关注 19 Stars 5	—	computer vision、multimodal learning；visual understanding、reasoning、generation
Jianyu LaiPhD, CSE · 2026导师：Long CHEN GitHub · Google Scholar GitHub 关注 12 Stars 36	2020–2024 South China University of Technology BEng, Automation 2024–2026 HKUST (Guangzhou) MPhil, Data Science and Analytics	多模态奖励模型、海报生成与编辑、摄影构图智能体 Meituan, Intelligent Vision Department · Research Intern2025-06–2026-02
Haoqi ZhangMPhil, CSE · 2025 秋季–导师：Long CHEN GitHub GitHub 关注 1 Stars 1	2025 CUHK, Shenzhen Bachelor, Computer Science and Engineering	多模态大语言模型
Thinh Dao (Will)MPhil, CSE · 2026导师：Long CHEN	—
Cunchun LiVisiting Students导师：Long CHEN	—
Zekai JiaVisiting Students导师：Long CHEN	Huazhong University of Science and Technology Undergraduate（在读）
Yixu WangVisiting Students导师：Long CHEN	University of Science and Technology of China Undergraduate（在读）
Jianming ZhangVisiting Students导师：Long CHEN	Tsinghua University Undergraduate（在读）
Tianqi ZhengVisiting Students导师：Long CHEN	University of Science and Technology of China Undergraduate（在读）
Huimin Yan校友 · Visiting PhD · 2026导师：Long CHEN	Shanxi University PhD
Yan Zhai校友 · Visiting PhD · 2026导师：Long CHEN	Communication University of China PhD
Jinpeng Wang校友 · Visiting PhD · 2025导师：Long CHEN	Tsinghua University PhD	Faculty at HIT Shenzhen
Zhexin Zhang校友 · Visiting PhD · 2025导师：Long CHEN	Hangzhou Dianzi University PhD
Kaifeng Gao校友 · Visiting PhD · 2024-09–2025-02导师：Long CHEN GitHub GitHub 关注 37 Stars 231	2016–2020 Zhejiang University BE, Ocean Engineering Zhejiang University PhD 2020–2025 Zhejiang University PhD	计算机视觉、多模态分析、视频生成与编辑 Research Engineer, Manycore Tech Inc.，Zihan Zhou 团队
Bofeng Wu校友 · Visiting PhD · 2024导师：Long CHEN	Hangzhou Dianzi University PhD
Chenyang Zhu校友 · Visiting Master · 2025-09–导师：Long CHEN GitHub · Google Scholar GitHub 关注 22 Stars 226	2024 Harbin Institute of Technology, Shenzhen BEng, Computer Science and Technology Tsinghua University Master	概念定制与视觉内容生成
Dingkun Zhang校友 · Visiting Master · 2026导师：Long CHEN Google Scholar · GitHub GitHub 关注 0 Stars 3	Harbin Institute of Technology, Shenzhen Bachelor HIT Shenzhen Master Harbin Institute of Technology, Shenzhen Master, Computer Science	视觉 token 压缩、持续学习、模型压缩与高效多模态大模型 OPPO AI Center · Research Intern2023-09 起
Wei Dai校友 · Visiting undergraduate · 2025导师：Long CHEN	USTC undergraduate
Junshan Huang校友 · Visiting undergraduate · 2024导师：Long CHEN	USTC undergraduate	PhD student, Rutgers University
Boyu Mi校友 · Visiting undergraduate · 2024导师：Long CHEN	Zhejiang University undergraduate	PhD student, Shanghai AI Lab
Zhitao HePhD, CSE导师：Yi R. FUNG	—	RebuttalAgent 共同指导
Shijue HuangPhD, CSE · 2025-09–导师：Yi R. FUNG Google Scholar · GitHub GitHub 关注 74 Stars 190	2018–2022 Harbin Institute of Technology Bachelor 2022–2025 Harbin Institute of Technology, Shenzhen Master 2025–2028 expected HKUST PhD	智能体强化学习、世界模型与递归自我改进
Zhaochen SuPhD, CSE导师：Yi R. FUNG Google Scholar · GitHub GitHub 关注 124 Stars 2,081	—	long-horizon general tool-use agents；multimodal-agent continual learning；AI for quant Shanghai AI Laboratory · Research Intern2023-11–2025-04 Moonshot AI (Kimi) · Agent Research Intern2025-08– MiniMax · Post-training Team Intern2025-06–2025-08 Kimi (Moonshot AI) · Agent Research Intern2025-08– Co-advised with Junxian He
Xinyu GengPhD, CSE导师：Yi R. FUNG	—	WebWatcher 共同指导
Qi HePhD, CSE · 2026-09–导师：Yi R. FUNG Google Scholar · GitHub · X GitHub 关注 5 Stars 12	Fudan University Bachelor, Data Science	推理强化学习、扩散语言模型、高效架构与端侧 AI
Yuchen HuangPhD, CSE导师：Yi R. FUNG GitHub · Google Scholar GitHub 关注 13 Stars 85	2023 Zhejiang University BS, Electronic Science and Technology	以人为本、可信的语言模型、视觉语言模型与智能体 Alibaba Tongyi Lab · Research Intern2025-09– HKPFS Fellow
Minghao LiuPhD, CSE · 2026–导师：Yi R. FUNG Google Scholar · LinkedIn · GitHub GitHub 关注 2 Stars 0	2022–2026 HKUST BEng, Computer Science; minor Mathematics 2024 秋季 Washington University in St. Louis Exchange 2026– HKUST PhD, CSE	可解释与可靠语言模型、智能体推理和可扩展评测环境
Zhennan ShenPhD, CSE · 2026-09–导师：Yi R. FUNG 简历 · X · LinkedIn · GitHub · Google Scholar GitHub 关注 27 Stars 8	2021–2025 Shanghai Jiao Tong University BE, Computer Science and Engineering 2026-09– HKUST PhD, CSE	语言模型智能体与长程代码智能体后训练 SJTU X-LANCE · Research Intern2023-07–2024-07 HKU NLP · Research Intern2024-07–2024-09 JD.com JoyAI · Research Intern2025-12–2026-04 Moonshot AI Kimi · Agent Training Intern2025-03–2025-12 MiniMax · Research Intern2026-06–
Guanyu JiangPhD, CSE · 2026-09–导师：Yi R. FUNG GitHub GitHub 关注 18 Stars 13	2022–2026 Zhejiang University BEng, Computer Science and Technology 2026-09– HKUST PhD, CSE	基础模型智能体、自主学习、可靠性与复杂真实场景 Tencent Hunyuan, Foundation Model Department · Qingyun Research Intern2026-10– 共同指导
Yiyang Fang (Vision)PhD, CSE导师：Yi R. FUNG 简历 · GitHub · Google Scholar GitHub 关注 20 Stars 197	2020–2024 Shandong University Bachelor, Computer Science and Technology 2024–2026 Wuhan University Master, Computer Science	多模态情绪识别与多模态大语言模型
Vu Duy Tung (audio-visual LLMs, MPhil Track)MPhil, CSE · 2026-07–导师：Yi R. FUNG	2026 VinUniversity Bachelor, Computer Science	LLM、多模态学习、自然语言处理与语音
Shujin Wu校友 · Research mentee导师：Yi R. FUNG	USC	UIUC PhD
Jianshu Zhang校友 · Research mentee导师：Yi R. FUNG	WuhanU	Northwestern PhD
Jaewoo Lee校友 · Research mentee导师：Yi R. FUNG	KAIST	UNC Chapel Hill PhD
Cheng Qian校友 · Research mentee导师：Yi R. FUNG	Tsinghua	UIUC PhD
Yumeng Wang校友 · Research mentee导师：Yi R. FUNG	HKUST	UIUC PhD
Steeve Kung-Hsiang Huang校友 · Research mentee导师：Yi R. FUNG	UIUC PhD	Salesforce AI
Ke Yang校友 · Research mentee导师：Yi R. FUNG	Tsinghua	UIUC PhD
Xueqing Wu校友 · Research mentee导师：Yi R. FUNG	UIUC	UCLA PhD
Hanning Zhang校友 · Research mentee导师：Yi R. FUNG	HKUST	UIUC
Lifan Yuan校友 · Research mentee导师：Yi R. FUNG	Huazhong HUST	UIUC PhD
Hehai Lin校友 · Research mentee导师：Yi R. FUNG	SYSU	HKUST-GZ PhD
Kath Choi校友 · Research mentee导师：Yi R. FUNG	CMU	UWaterloo PhD
Xinyan Liu校友 · Research mentee导师：Yi R. FUNG	PolyU	UMD PhD
Yuxin Li校友 · Research mentee导师：Yi R. FUNG	HKUST
Jiayu Liu校友 · Research mentee导师：Yi R. FUNG	HKUST
HUANG, YimingPhD, CSE导师：Yi R. FUNG	—	共同指导
SON, JuhyungPhD, IIP导师：Yi R. FUNG	—
TANG, LongxiangPhD, CSE导师：Yi R. FUNG	—
CHOI, Ka ManPhD, IIP导师：Yi R. FUNG	—	共同指导
GUO, DadiPhD, CSE导师：Yi R. FUNG	—
HU, ChenchangPhD, CSE导师：Yi R. FUNG	—	共同指导
MIN, RuiPhD, CSE导师：Yi R. FUNG	—
FAN, ZhiyuanMPhil, CSE导师：Yi R. FUNG	—
Yuxuan CaoPhD, CSE · 2025-09–导师：Junxian HE GitHub GitHub 关注 5 Stars 16	2018–2022 Zhejiang University Bachelor, Computer Science and Technology 2022–2025 Zhejiang University Master, Computer Science and Technology 2025-09– HKUST PhD, CSE	LLM 后训练、推理与图数据挖掘
Yanheng HePhD, CSE · 2026–导师：Junxian HE	2026 Shanghai Jiao Tong University BE, Computer Science, ACM Honors Class	智能体与世界模型
Yuzhen HuangPhD, CSE · 2024-02–导师：Junxian HE X · GitHub · Google Scholar · LinkedIn GitHub 关注 81 Stars 0	2019–2023 Shanghai Jiao Tong University Bachelor, Computer Science 2024-02– HKUST PhD, CSE	语言模型强化学习、自我改进、推理与规划、多模态理解和评测 Tencent WeChat · Research Intern2023-11–2024-01 TikTok AI Innovation Center, Singapore · Intern Research Scientist2025-01–2025-12 DeepSeek AI · Research Intern2026-01–
Junlong LiPhD, CSE · 2025-09–导师：Junxian HE X · GitHub · Google Scholar GitHub 关注 107 Stars 37	2018–2022 Shanghai Jiao Tong University BS, Computer Science, IEEE Honors Class 2022–2025 Shanghai Jiao Tong University MS, Computer Science and Engineering 2025–2028 expected HKUST PhD, CSE	语言模型推理、智能体评测、Document AI NVIDIA Research, DLER · Research Intern Microsoft Research Asia, NLC · Research Intern DeepSeek, LLM Alignment Team · Research Intern入读 HKUST 前
Junteng LiuPhD, CSE导师：Junxian HE GitHub GitHub 关注 12 Stars 0	2024 Shanghai Jiao Tong University BEng, Automation, IEEE Honors Class	递归自我改进、代码智能体、可验证反馈与强化学习 Apple MLR, Cupertino · Research Scientist Intern2026-04 起 MiniMax · Research Intern
Wei LiuPhD, CSE · 2024-09–导师：Junxian HE GitHub · DBLP · ORCID DBLP 近三年 18 GitHub 关注 101 Stars 20	2017–2021 South China Agricultural University BE, Computer Science 2021–2024 ShanghaiTech University MS, Computer Science 2024-09– HKUST PhD, Computer Science	可扩展强化学习、合成数据、代码智能体和测试时学习 Alibaba DAMO Academy · Research Intern2022-07–2023-10 Shanghai AI Laboratory · Research Intern2023-11–2024-08 TikTok AI Innovation Center, Singapore · Research Scientist Intern2025-06–2026-02 DeepSeek · Coding-agent research2026-06– Moonshot AI · Research2026-03–2026-05
Kashun ShumPhD, CSE · 2024-09–导师：Junxian HE GitHub · Google Scholar · LinkedIn · X 主页近三年论文 10	2018–2022 The Hong Kong University of Science and Technology BSc 2022-09–2024-08 The Hong Kong University of Science and Technology MPhil in Computer Science and Engineering 2024-09– The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Junxian He；HKPFS 与 RedBird PhD Scholarship。	代码智能体与多轮强化学习；数据驱动的预训练、可信语言模型、知识蒸馏和提示学习。硕士阶段研究提示学习与可信 LLM，博士阶段继续研究预训练数据和高效后训练。 Baidu China Co., Ltd. · Search and Strategy Department · Natural Language Processing Intern2021-06–2021-09本科期间在北京实习；开发电商搜索排序与 query–document 匹配，使用 ERNIE 改进商品属性检索。 Qwen Team · Research Intern2025-04–博士期间在北京实习，由 Binyuan Hui 指导；研究代码智能体的多轮强化学习，参与 Qwen3-Coder 系列。主页论文10 2024 FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation 2024 LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models 2024 Plum: Prompt Learning using Metaheuristic 2024 RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models 2025 An Improved Autoregressive Evaluation Paradigm for Large Language Models 2025 Predictive data selection: The data that predicts is the data that teaches 2025 Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering 2026 MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era 2026 Qwen3-Coder-Next Technical Report 2026 SWE-RM: Execution-free Feedback for Software Engineering Agents
Zhaochen SuPhD, CSE导师：Junxian HE Google Scholar · GitHub · LinkedIn · X 主页近三年论文 9 GitHub 关注 124 Stars 2,081	The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 由 Junxian He 与 Yi R. (May) Fung 共同指导。	长时程通用工具使用智能体、多模态推理与 AI for quant。 Shanghai AI Laboratory · Research Intern2023-11–2025-04个人主页列出的研究实习。 Moonshot AI (Kimi) · Agent Research Intern2025-08– MiniMax · Post-training Team Intern2025-06–2025-08参与 MiniMax-M2。 Kimi (Moonshot AI) · Agent Research Intern2025-08–研究长时程通用工具使用智能体；个人主页列出参与 Kimi K2 Thinking、K2.5、K2.6、K2.7 和 K3。 Co-advised with Yi R. Fung；共同指导主页论文9 2024 ConflictBank: A Benchmark for Evaluating Knowledge Conflicts in Large Language Models 2025 OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning 2025 Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers 2026 AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios 2026 Kimi K2.5: Visual Agentic Intelligence 2026 Kimi K3: Open Frontier Intelligence 2026 The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence 2026 The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution 2026 XSkill: Continual Learning from Experience and Skills in Multimodal Agents
Haoze WuMPhil, CSE导师：Junxian HE X · LinkedIn · GitHub · Google Scholar GitHub 关注 13 Stars 7	2025 Zhejiang University BEng, Computer Science, CKC Honors College	智能体强化学习的环境、密集监督、训练计算分配与泛化 MiniMax AI · Agentic RL research Shanghai AI Laboratory · Research experience
Weihao ZengPhD, CSE · 2025 Fall–导师：Junxian HE Google Scholar · X 主页近三年论文 6 GitHub 关注 99 Stars 118	2025 Fall– The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Junxian He。	LLM 后训练；长时程、真实场景智能体；通过强化学习与自我演化提升推理；高效后训练的数据工程。本人 README 分别列出 Toolathlon、SimpleRL、B-STaR、Deita 与 AutoEvol-Instruct。主页论文6 2024 Automatic Instruction Evolving for Large Language Models 2024 What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning 2025 B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners 2025 SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild 2026 Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification 2026 The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution
Jinghan ZhangPhD, CSE · 2024–导师：Junxian HE jinghan23.github.io · X · GitHub · Google Scholar · DBLP · CV · Google Scholar · X 主页近三年论文 5 DBLP 近三年 9 GitHub 关注 14 Stars 49	2019–2023 Southeast University Bachelor of Engineering in Artificial Intelligence 2024– The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Junxian He。	后训练与泛化、智能体推理、视觉语言模型推理、模型合并。主页另列长上下文建模与多轮推理。2023-11 至 2024-01 在 HKUST CSE 担任 Research Assistant，随后进入博士阶段。主页论文5 2024 Compression Represents Intelligence Linearly 2025 Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging 2025 Internalizing World Models via Self-Play Finetuning for Agentic RL 2025 Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas 2026 The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms
Wenshuo ZhaoPhD, CSE · 2026–导师：Junxian HE GitHub GitHub 关注 11 Stars 3	2022–2026 Zhejiang University BS, Computer Science and Technology 2026– HKUST PhD	LLM 推理、多智能体与数据可视化
Liangjun ZhongMPhil, CSE导师：Junxian HE	The Hong Kong University of Science and Technology MPhil in Computer Science and Engineering
Shiqi ChenVisitor (PhD)导师：Junxian HE GitHub GitHub 关注 55 Stars 314	City University of Hong Kong PhD	LLM 与 VLM 的事实性、解释性及模型合并
Hao LiVisitor (Master)导师：Junxian HE GitHub · Google Scholar 主页近三年论文 8	2020-09–2024-06 Beihang University Bachelor 2024-09– Beihang University Master School of AI；导师 Lei Sha。本人另列曾接受 Jing Shao、Jin-Ge Yao 与 Junxian He 指导。	AI 安全对齐与长时程推理；研究项目涵盖程序化工具编排、空间智能体评估、LLM 安全对齐与多模态安全。 Shanghai AI Lab · Research Intern2024-07–2025-07LLM 与 VLM 安全；本科毕业后开始，时间覆盖北航硕士阶段。 Beijing Academy of Artificial Intelligence (BAAI) · Research Intern2025-08–2026-01北航硕士期间实习；VLM 后训练与评估。 TikTok AI Innovation Center · Research Intern2026-03–2026-06北航硕士期间实习；Agentic RL。主页论文8 2024 ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings 2025 DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak 2025 Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment 2025 LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts 2025 VLSBench: Unveiling Visual Leakage in Multimodal Safety 2026 Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay 2026 Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT 2026 SafeSteer: Localized On-Policy Distillation for Efficient Safety Alignment
Chang Ma校友 · Visitor · 2023–2026导师：Junxian HE Google Scholar	Peking University BS, Computer Science HKU PhD University of Hong Kong PhD	自主、高效、可信智能体与科学发现 Postdoc, University of Washington；合作导师 Pang Wei Koh、Hanna Hajishirzi
Yiyun Deng校友 · Visitor · 2024–2026导师：Junxian HE	Tsinghua University Undergraduate
Ruochen Zhou校友 · Visitor · 2024–2025导师：Junxian HE	City University of Hong Kong PhD
Junlei Zhang校友 · Visitor · 2023–2025导师：Junxian HE	Westlake University PhD
Lueyang Zhang校友 · Visitor · 2025导师：Junxian HE	HKUST Undergraduate
Cheng Wang校友 · Visitor · 2025导师：Junxian HE Google Scholar · LinkedIn · GitHub GitHub 关注 48 Stars 144	NUS Undergraduate National University of Singapore	智能体 ByteDance · Algorithm Engineer Intern2025-01 起 ByteDance
Yuxuan Tong校友 · Visitor · 2023-07–2024-06导师：Junxian HE GitHub · Google Scholar GitHub 关注 345 Stars 267	2021–2025 expected Tsinghua University Bachelor, Computer Science and Technology Tsinghua University Undergraduate	长上下文复杂推理、强化学习系统和硬件感知算法 Carnegie Mellon University LTI · Research Intern2024-07–2025-02 ByteDance Seed-Infrastructures · Research Intern2025-02– ByteDance Seed
Cheng Yang校友 · Visitor · 2023导师：Junxian HE	Tsinghua University Master	PhD at UC San Diego
HU, Tianshuai校友 · PhD, IIP (Robotics and Autonomous Systems) · 2026导师：Junxian HE	2026 HKUST PhD, IIP (Robotics and Autonomous Systems)
WILIE, Bryan校友 · PhD, ECE · 2026导师：Junxian HE	2026 HKUST PhD, ECE	共同指导
Siting LuoPhD导师：Yaonan JINCSE	—
Zhengze XiaoPhD导师：Chaojian LICSE	2025 Beijing University of Posts and Telecommunications BEng
Tiancheng ZhaoPhD导师：Chaojian LI 简历 · Google Scholar · LinkedIn · GitHub GitHub 关注 1 Stars 0	2019–2023 Shandong University BEng, Data Science and Big Data Technology 2022 Spring University of Hong Kong Exchange 2024–2026 Georgia Tech MSc, Computer Science	software-hardware co-design、ML systems、HPC、3DGS、IPC simulation Xpeng · Software Development Intern2025 Summer A*STAR · Student Researcher2025 Fall Tencent · R&D Intern, WeChat HPC Group2026 Summer 硕士导师 Helen Xu；2023–2024 随 Jiasi Shen 研究代码理解
Chonghao ZhongPhD导师：Chaojian LICSE GitHub 关注 3 Stars 0	2023 Southwest Jiaotong University BSc 2026 Beijing Institute of Technology MSc
Xinyu GengPhD导师：Chaojian LICSE	—
Daniel LinPhD, CSE导师：Sehi L'YI visailab.com	2026 South China University of Technology BEng, Software Engineering · 导师 Zikun Deng 2026-09– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Sehi L’Yi	人机交互、数据可视化、人机协作
Elyssa AyuUndergraduate, Data Science and Technology导师：Sehi L'YI GitHub GitHub 关注 1 Stars 0	HKUST Undergraduate, Data Science and Technology	可视化、机器学习、计算生物学及临床专家可用的分析工具
Luna ChenExchange undergraduate导师：Sehi L'YI GitHub GitHub 关注 0 Stars 0	Universiti Putra Malaysia Undergraduate, Computer Science HKUST Exchange student	人机交互、AI 与可视化 Yiyue Chen；Universiti Putra Malaysia 本科，访问 HKUST。
Skylar Walters校友 · Research mentee · 2025-2025导师：Sehi L'YI 简历 · LinkedIn · GitHub GitHub 关注 1 Stars 1	—	PhD Student at UC Berkeley
Arthea Valderrama校友 · Research mentee · 2025-2025导师：Sehi L'YI	—	Master’s Student at Harvard Medical School
Astrid van den Brandt校友 · Research mentee · 2023-2024导师：Sehi L'YI GitHub · LinkedIn GitHub 关注 2 Stars 2	—	Postdoc at Harvard Medical School
Aditeya Pandey校友 · Research mentee · 2020-2021导师：Sehi L'YI 简历 · X · LinkedIn · GitHub · Google Scholar GitHub 关注 8 Stars 12	—	Visual Data Scientist at Eli Lilly and Company
Thomas Smits校友 · Research mentee · 2023-2025导师：Sehi L'YI GitHub GitHub 关注 7 Stars 0	—	PhD Student at Radboud University Medical Center
Lawrence Weru校友 · Research mentee · 2024-2025导师：Sehi L'YI	—	Secretariat IT Accessibility Officer at Commonwealth of Massachusetts
Sofía Rojas校友 · Research mentee · 2024-2024导师：Sehi L'YI	—	Machine Learning Engineer at Teradyne
Theresa Harbig校友 · Research mentee · 2023-2023导师：Sehi L'YI	—	Research Engineer at Erbe
Etowah Adams校友 · Research mentee · 2023-2024导师：Sehi L'YI X · Google Scholar · GitHub · LinkedIn GitHub 关注 26 Stars 142	—	PhD Student at Columbia University
Erica Stutz校友 · Research mentee · 2022-2022导师：Sehi L'YI	—	PhD Student at Yale University
Thanh Dung Ho校友 · Research mentee · 2019-2020导师：Sehi L'YI	—	Custom Engineering Specialist at Accenture
Eman AnsarMPhil, CSE · 2025–导师：Arpit NARECHANIA GitHub GitHub 关注 17 Stars 2	2021–2025 Carnegie Mellon University BSc, Computer Science; Machine Learning concentration 2025–2027 expected HKUST MPhil, CSE	以人为本 AI、具身认知、棋类可见行为与决策分析 Qatar Computing Research Institute · AI Cybersecurity Research Intern2023-05–2023-07
Fengjie WangPhD, CSE · 2025-08–导师：Arpit NARECHANIA Google Scholar · GitHub GitHub 关注 2 Stars 0	Sichuan University Bachelor, Computer Science and Technology 2024 Sichuan University Master, Computer Science and Technology	AI 辅助数据交流与计算笔记本交互工具
Jieliang YinPhD, IIP · 2025–present导师：Arpit NARECHANIA	—
Yanwei HuangPhD, CSE · 2025–present导师：Arpit NARECHANIA CV	2022 Zhejiang University BS, Computer Science 2025 Zhejiang University MS, Software Engineering · 导师 Yingcai Wu；Di Weng 2025-09– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Arpit Narechania	可视化、多智能体系统、数据科学、人机协作 ByteDance, Lark Suite · Frontend Engineer Intern2021-02–2021-06参与 Lark 前端与 SDK 开发。 HiThink Research · Research Intern2025-03–2025-08逻辑推理数据合成。
Jianheng OuyangMPhil, CSE · 2026-08–导师：Arpit NARECHANIA GitHub GitHub 关注 3 Stars 0	2026 South China University of Technology Bachelor 2026-08–2028-06 expected HKUST MPhil, CSE	人机交互与以人为本的交互式 AI
Thinh Nguyen TruongMPhil, CSE · 2026–present导师：Arpit NARECHANIA	—
Xiaoyu WangPhD, CSE · 2026–present导师：Arpit NARECHANIA GitHub GitHub 关注 10 Stars 2	Peking University, Yuanpei College BSc, Data Science The Hong Kong University of Science and Technology MSc, Big Data Technology The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Arpit Narechania	人机交互、新型输入输出技术、用户非语言交流线索 Institute of Computing Technology, Chinese Academy of Sciences · Research Intern研究导师 Tengxiang Zhang。
Zhiteng CaoPhD, CSE · 2026–present导师：Arpit NARECHANIA	—
Haichang Li校友 · PG Intern · Fall 2025导师：Arpit NARECHANIA	George Mason U.
Tenghao Ji校友 · PG Intern · Spring 2025导师：Arpit NARECHANIA	U. Michigan
Tong YiyaoUROP · Fall 2026导师：Arpit NARECHANIA	HKUST
Olivia Howe校友 · SRP · Summer 2026导师：Arpit NARECHANIA	U. Washington
Martin Tin校友 · SRP · Summer 2026导师：Arpit NARECHANIA	U. Toronto
Kushall Saraf校友 · SRP · Summer 2026导师：Arpit NARECHANIA	U. Toronto
Sujal Kaware校友 · IVISP · Summer 2026导师：Arpit NARECHANIA	IIT Kharagpur
Shuvam Dash校友 · IVISP · Summer 2026导师：Arpit NARECHANIA	IIT (ISM) Dhanbad
Waleed MunirUROP · Fall 2026导师：Arpit NARECHANIA	—
Yik Long WongUROP · Summer 2026 · Fall 2026导师：Arpit NARECHANIA	—
Siyu Jiang校友 · UROP · Summer 2026导师：Arpit NARECHANIA	—
Muhammad Zohaib IrfanCOMP 4910 · Fall 2026导师：Arpit NARECHANIA	—
Pak Ho Lam校友 · UROP · Spring 2026 · Summer 2026导师：Arpit NARECHANIA	—
Abdelrahman AwadallaFYT #1 · 2026–27导师：Arpit NARECHANIA	—
Arnav Bala校友 · UROP · Spring 2026导师：Arpit NARECHANIA	—
Nok ChanARIN 6900 · Fall 2026 · Spring 2027导师：Arpit NARECHANIA	—
Mridul Kumar Sharma校友 · ARIN 6900 · Spring 2026 · Summer 2026导师：Arpit NARECHANIA	—
Jingyi WangCSIT 6910 · Fall 2026导师：Arpit NARECHANIA	—
Ng Jia Sheng JasonCSIT 6910 · Fall 2026导师：Arpit NARECHANIA	—
LIU ZexuanCOMP 4971 · Fall 2026导师：Arpit NARECHANIA	—
Antariksh Verma校友 · COMP 4971 · Fall 2025 · Spring 2026导师：Arpit NARECHANIA	—
Abdullah Imtiaz校友 · COMP 4910 · Spring 2026导师：Arpit NARECHANIA	—
Hui Ka TaiFYP #1 · 2026–27导师：Arpit NARECHANIA	—
Kong Kwok HinFYP #1 · 2026–27导师：Arpit NARECHANIA	—
Zheng Ka CheongFYP #1 · 2026–27导师：Arpit NARECHANIA	—
Wong Ka HeiFYP #1 · 2026–27导师：Arpit NARECHANIA	—
Pranavi KuntrapakamFYP #2 · 2026–27导师：Arpit NARECHANIA	—
Kavya PareekFYP #2 · 2026–27导师：Arpit NARECHANIA	—
Anas BoutorFYP #2 · 2026–27导师：Arpit NARECHANIA	—
Zhang XingjianFYP #3 · 2026–27导师：Arpit NARECHANIA	—
Cheung Alan Pak ToFYP #3 · 2026–27导师：Arpit NARECHANIA	—
Su ZiwenFYP #4 · 2026–27导师：Arpit NARECHANIA	—
Tang Ho YeungFYP #4 · 2026–27导师：Arpit NARECHANIA	—
Leong Hok WengFYP #4 · 2026–27导师：Arpit NARECHANIA	—
Yeung Miu WanFYP #5 (w/ Dr. Lionel Parreaux) · 2026–27导师：Arpit NARECHANIA	—	Co-supervised with Lionel Parreaux
Oh YeontaekFYP #5 (w/ Dr. Lionel Parreaux) · 2026–27导师：Arpit NARECHANIA	—	Co-supervised with Lionel Parreaux
Chung Ho ManFYP #5 (w/ Dr. Lionel Parreaux) · 2026–27导师：Arpit NARECHANIA	—	Co-supervised with Lionel Parreaux
Lee EunseoFYP #5 (w/ Dr. Lionel Parreaux) · 2026–27导师：Arpit NARECHANIA	—	Co-supervised with Lionel Parreaux
Jerzy Jan Janeczek校友 · FYP #1 · 2025–26导师：Arpit NARECHANIA	—
Seokhyeon Hong校友 · FYP #1 · 2025–26导师：Arpit NARECHANIA	—
Angus Han Jern Loh校友 · FYP #1 · 2025–26导师：Arpit NARECHANIA	—
Arnav Kithania校友 · FYP #1 · 2025–26导师：Arpit NARECHANIA	—
Wong Ho Fung校友 · FYP #2 · 2025–26导师：Arpit NARECHANIA	—
Tsz Yan Giann Chung校友 · FYP #2 · 2025–26导师：Arpit NARECHANIA	—
Runxi HuangPhD · 2024 Fall–导师：Xiaomin OUYANGCSE Google Scholar · ORCID · GitHub · OpenAlex OpenAlex 近三年 6 引用 4 h-index 1 GitHub 关注 0 Stars 5	2018–2023 Beihang University BEng, Software Engineering 2023–2024 Nanyang Technological University MSc, Computer Control and Automation	efficient edge AI systems、mobile computing、multimodal learning、mobile GUI agents
Yizhen WangPhD · 2025 Fall–导师：Xiaomin OUYANGCSE	Zhejiang University BSc
Liyu ZhangPhD · 2025 Fall–导师：Xiaomin OUYANGCSE GitHub · Google Scholar · LinkedIn GitHub 关注 8 Stars 1	2021–2025 HKUST BEng, Computer Science 2023–2024 EPFL Exchange	AI-enhanced IoT systems
Yejia LiuPhD · 2025 Fall–导师：Xiaomin OUYANGCSE GitHub GitHub 关注 1 Stars 1	Shanghai Jiao Tong University BSc
Haoxian LiuMPhil · 2025 Fall–导师：Xiaomin OUYANGCSE	SUSTech BSc
Yuchen WangPhD · 2025 Fall–导师：Xiaomin OUYANGCSE	Tsinghua University BSc	与 Xiaomeng Li co-advised
Dehao WangPhD · 2026 Fall–导师：Xiaomin OUYANGCSE GitHub · Google Scholar GitHub 关注 0 Stars 6	2022–2026 Beijing Institute of Technology Bachelor, Electronic Science and Technology	non-invasive BCI、smart health、autonomous driving perception
Kun QianPhD · 2026 Fall–导师：Xiaomin OUYANGCSE	Huazhong University of Science and Technology BSc
Alex DingPhD/MPhil · 2026 Fall–导师：Xiaomin OUYANG	University of British Columbia BSc
Bin ZhouPhD · 2026 Fall–导师：Xiaomin OUYANGCSE	Sichuan Agricultural University BSc HKUST MSc	与 Kani Chen co-supervised
Hengle JiangUndergraduate researcher · 2024 Fall–导师：Xiaomin OUYANG	SUSTech 本科在读
Larry Kwun Ho LiuUndergraduate researcher · 2025 Spring–导师：Xiaomin OUYANG	HKUST 本科在读
Yuchen Wang (UG)Undergraduate researcher · 2025 Spring–导师：Xiaomin OUYANG	HKUST 本科在读
Lanxuan HongUndergraduate researcher · 2025 Spring–导师：Xiaomin OUYANG	HKUST 本科在读
Hongyu ChenUndergraduate researcher · 2025 Summer–导师：Xiaomin OUYANG	HKUST 本科在读
Jiajun FuUndergraduate researcher · 2025 Summer–导师：Xiaomin OUYANG	USTC 本科在读
Yolanda LauPhD · 2024 Spring–导师：Xiaomin OUYANG	University College London PhD	Xiaomin Ouyang 为 secondary supervisor
Zihan DingPhD导师：Xiaomin OUYANGCSE	—
John (Chun Kit) LamPhD导师：Lionel PARREAUX	—	HKPFS
Chun Yin ChauPhD导师：Lionel PARREAUXCSE	—	HKPFS；2024 年完成本组 MPhil 后继续 PhD
Cunyuan GaoPhD导师：Lionel PARREAUXCSE	—
Yijia (Anto) ChenPhD导师：Lionel PARREAUXCSE	—	HKPFS
Anson YeungPhD导师：Lionel PARREAUX	—	HKPFS
David (Ching Hang) MakPhD导师：Lionel PARREAUX	—	由 M-Labs 资助 PhD
Heung Tung AuPhD导师：Lionel PARREAUXCSE	—
Mark (Pui Hei) NgPhD导师：Lionel PARREAUXCSE	—	HKPFS
Maxime MulderPhD导师：Lionel PARREAUXCSE	—
Andong Fan校友 · MPhil · 2022–2024导师：Lionel PARREAUXCSE	2024 HKUST MPhil
Luyu Cheng校友 · PhD · 2021–2026导师：Lionel PARREAUXCSE	2026 HKUST PhD
Ishan Bhanuka校友 · MPhil · 2022–2024导师：Lionel PARREAUXCSE	2024 HKUST MPhil
Ruqing Yang校友 · MPhil · 2023–2025导师：Lionel PARREAUXCSE	2025 HKUST MPhil
Chun Kit LamPhD导师：Lionel PARREAUXCSE	—
Sin Hang YeungPhD导师：Lionel PARREAUXCSE	—
Ching Hang MakPhD导师：Lionel PARREAUXCSE	—
Yuchong XiePhD · 2024 Fall–导师：Dongdong SHECSE	Shanghai Jiao Tong University BSc Shanghai Jiao Tong University MSc	Kimi · Research Intern, RL team Qwen · Research Intern, foundation-model cyber team 与 Shuai Wang co-advised；曾参加 SJTU 0ops team
Shuangjie YaoPhD · 2024 Fall–导师：Dongdong SHECSE Google Scholar · GitHub · LinkedIn · X GitHub 关注 10 Stars 39	2019–2023 Shanghai Jiao Tong University BEng, Computer Science and Technology 2026-04–2026-08 Columbia University Visiting Scholar	program analysis、formal methods、neuro-symbolic AI Tencent · Research Intern, Hunyuan 2024-02–08 在 HKUST 任 RA；2026-04–08 在 Columbia University 访问（本人主页日期）
Zesen LiuPhD · 2025 Fall–导师：Dongdong SHECSE Google Scholar · GitHub GitHub 关注 9 Stars 21	Xidian University BSc	Tencent · Research Intern, Hunyuan
Kaikai ZhangPhD · 2025 Fall–导师：Dongdong SHECSE GitHub GitHub 关注 8 Stars 13	Shanghai Jiao Tong University Bachelor, Computer Science and Technology	LLM cybersecurity、vulnerability discovery/reproduction/patching、cyber agents Qwen foundation-model cyber team · Research Intern（PhD 期间，主页列当前）
Zhixiang ZhangPhD · 2026 Fall–导师：Dongdong SHECSE GitHub GitHub 关注 5 Stars 3	Fudan University Bachelor, Software Engineering	AI security、agentic RL、LLM-agent robustness/privacy
Zihan Zhang即将加入 · Incoming PhD · 2027 Fall–导师：Dongdong SHE	SUSTech BSc	Incoming PhD
Haoyang LiuMPhil导师：Dongdong SHECSE	—
Qiao Zhang校友 · MPhil · 2026导师：Dongdong SHECSE	—
Shangyu LiPhD导师：Jiasi SHENCSE	UESTC Bachelor HKUST Master	program synthesis、code generation、symbolic-neural methods
Sizhe ZhongPhD导师：Jiasi SHENCSE	South China University of Technology Bachelor, Computer Science and Technology	软件工程、程序设计语言
Huiri TanPhD导师：Jiasi SHENCSE GitHub GitHub 关注 30 Stars 101	2022 Wuhan University Bachelor, Software Engineering	PL、SE、ML；multi-agent language design and program analysis ；本科毕业后在 Tsinghua SIGS 任 research staff
Jialu YangPhD导师：Jiasi SHENCSE GitHub GitHub 关注 11 Stars 6	2020–2024 Shanghai Jiao Tong University BEng, Software Engineering	programming languages、software engineering ；本科最后一年随 IPADS Yubin Xia 研究
Jingyi ChenPhD导师：Jiasi SHENCSE GitHub GitHub 关注 1 Stars 1	2024 Nankai University BS, Computer Science and Technology 2024– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Shing-Chi Cheung；Jiasi Shen	AI for Software Engineering、检索增强代码生成 co-supervised with Shing-Chi Cheung
Zhaoyang ZhangPhD导师：Jiasi SHENCSE ORCID · GitHub GitHub 关注 12 Stars 0	—	program synthesis、program translation 及软件工程应用
Ahmed ZaherPhD导师：Jiasi SHENCSE	Tanta University BSc HKUST MPhil 2025-04–2025-06 Aarhus University Research visit	parameterized algorithms/complexity、program analysis、compiler optimization co-supervised with Amir Goharshady；Aarhus host Andreas Pavlogiannis；HKPFS
Kerim KochekovPhD导师：Jiasi SHENCSE	—	co-supervised with Amir Goharshady
Pavel HudecPhD导师：Jiasi SHENCSE GitHub · CV GitHub 关注 0 Stars 0	2021 Charles University in Prague Bc, General Mathematics · 导师 Jan Šťovíček	参数化算法、程序验证、SMT 求解、抽象解释、Markov 决策过程 Jane Street · Quantitative Trading Intern2020-07–2020-09远程参与 London 团队，研究交易量与波动率模型。 co-supervised with Amir Goharshady；HKPFS
Meibo RenPhD导师：Jiasi SHENCSE	—
Tanapoom SermchaiwongPhD导师：Jiasi SHENCSE	2026 HKUST MPhil
Yikun WangPhD导师：Jiasi SHENCSE	—
Chenqi LiuMPhil导师：Jiasi SHENCSE	—	2024 UROP 后转 MPhil
Soroush Farokhnia校友 · PhD · 2026导师：Jiasi SHENCSE Google Scholar	2026 HKUST PhD	与 Amir Goharshady 共同指导
Xuran Cai校友 · MPhil · 2025导师：Jiasi SHENCSE GitHub · Google Scholar GitHub 关注 10 Stars 51	2025 HKUST MPhil	与 Amir Goharshady 共同指导
Zhaorun Lin校友 · MPhil · 2025导师：Jiasi SHENCSE 简历 · Google Scholar · ORCID · GitHub · LinkedIn GitHub 关注 5 Stars 4	2025 HKUST MPhil	与 Amir Goharshady 共同指导
Kuo Chen校友 · UROP / RA · 2023–2024 / 2025–2026导师：Jiasi SHEN	—
Yichuan Li校友 · PGVIS · 2025导师：Jiasi SHEN	—
Jiaze Wang校友 · RA · 2024–2025导师：Jiasi SHEN	—
Siyu Chen校友 · RA · 2023–2024导师：Jiasi SHEN GitHub 关注 132 Stars 381	—	PhD, Purdue
Tiancheng Zhao校友 · Postgraduate researcher · 2023–2024导师：Jiasi SHEN	—	Georgia Tech graduate student；后续 PhD 随 HKUST Chaojian Li
Jiayi Qian校友 · UROP · 2025–2026导师：Jiasi SHEN	—
Junping Wang校友 · UROP · 2025–2026导师：Jiasi SHEN	—
Ivan (Yin Fung) Lok校友 · UROP · 2025导师：Jiasi SHEN	—
Li Zhang校友 · UROP · 2025导师：Jiasi SHEN	—
Puyang Zhang校友 · UROP · 2024–2025导师：Jiasi SHEN	—
Xiaoyan Guo校友 · HKUST–USTC summer intern · 2025导师：Jiasi SHEN 简历 · GitHub GitHub 关注 1 Stars 0	—	PhD, University of Virginia
Yuhua Zhao校友 · UROP · 2024导师：Jiasi SHEN	—
Chaobo Jia校友 · UGVIS · 2024导师：Jiasi SHEN 简历 · Google Scholar · GitHub GitHub 关注 76 Stars 82	—
Sirui Xie校友 · UGVIS · 2023导师：Jiasi SHEN	—
Jerry Wu校友 · MIT UROP / MEng · 2017–2018导师：Jiasi SHEN	—	与 Martin Rinard 共同指导
Varun Mangalick校友 · MIT SuperUROP · 2017–2018导师：Jiasi SHEN	—	与 Martin Rinard 共同指导
Zelin GaoPhD, CSE导师：Yinghao XU Google Scholar · GitHub · X GitHub 关注 46 Stars 1	Jilin University BEng Zhejiang University MEng	三维视觉、图形学、生成模型与可交互世界模型
Yihang ChenPhD, CSE · 2026–导师：Yinghao XU	2022–2026 Zhejiang University BEng, Software Engineering 2026– HKUST PhD, CSE	Ant Group · Research Intern2025-09–2026-07
Jiahao ShaoPhD, CSE · 2026-09–导师：Yinghao XU 简历 · Google Scholar · X · GitHub GitHub 关注 90 Stars 396	2020–2024 Zhejiang University BEng, Automation 2026-09– HKUST PhD, Computer Science	多模态学习、生成建模与具身通用智能体 Ant Group · Research Intern，host Yujun Shen2024-04–2026-05 Robbyant · Research Intern，host Yinghao Xu2026-05–
Yishu ShenPhD, CSE导师：Yinghao XU Google Scholar · GitHub GitHub 关注 4 Stars 12	2025 秋季 HKUST Exchange, CSE 2026 Shanghai Jiao Tong University BEng, Industrial Design (Mechanical)	可规模化数据采集、灵巧操作与实体机器人系统 Ant Group · Research Intern
Jiaqi LiaoPhD, CSE导师：Yinghao XU X · GitHub GitHub 关注 7 Stars 21	—	VLM/WAM post-training、egocentric embodied video generation、long-video understanding、RL post-training Ant Group · Research Intern, VLM & WAM Post-training
Shuai YangPhD, CSE导师：Yinghao XU GitHub GitHub 关注 10 Stars 10	—	embodied AI、open-ended robot instruction following、3D world understanding、robot manipulation、VLM/VLA
Yiming LuoVisiting student导师：Yinghao XU Google Scholar · GitHub · LinkedIn GitHub 关注 67 Stars 25	University of Hong Kong	访问学生；来源机构为 University of Hong Kong
Jiacheng DongVisiting student导师：Yinghao XU GitHub GitHub 关注 20 Stars 207	2024–2028 expected Zhejiang University, ZJU-UIUC Institute；University of Illinois Urbana-Champaign BS, Electrical Engineering，双学位项目（在读）	视觉基础模型、具身基础模型 RobbyAnt · Research Intern2026-04–导师 Yinghao Xu。 Tsinghua University, AIR · Research Intern2026-01–2026-05导师 Yan Wang。访问学生；来源机构为 Zhejiang University
Shangzhan ZhangVisiting student导师：Yinghao XU GitHub GitHub 关注 80 Stars 2	2022 Zhejiang University BE, Electronic Science and Technology 2025 Zhejiang University MEng, Computer Science · 导师 Sida Peng；Xiaowei Zhou 2025– University of Oxford PhD（在读） · 导师 Christian Rupprecht	智能体、视觉语言模型、物理世界基础模型 Ant Research · Research Intern2023–20252023–2025 年导师 Nan Xue、Yujun Shen；2025 年另一段记录列导师 Yinghao Xu。 Adobe Research · Research Intern2025导师 Zifan Shi、Kalyan Sunkavalli。访问学生；来源机构为 University of Oxford
Yuzhuo AoVisiting student导师：Yinghao XU 简历 · GitHub GitHub 关注 5 Stars 0	HKUST	访问学生；来源机构为 HKUST
Linzhuo ChenResearch Intern导师：Yinghao XU	Nankai University Master · 导师 Ming-Ming Cheng Nanjing University PhD（在读） · 导师 Yao Yao	三维基础模型、三维重建 RobbyAnt · Research Intern导师 Yinghao Xu。
Yudong JinResearch Intern导师：Yinghao XU GitHub 关注 6,519 Stars 139,708	—
Jian GaoResearch Intern导师：Yinghao XU GitHub · Google Scholar GitHub 关注 58 Stars 4	2016-09–2020-06 Wuhan University BS, Remote Sensing 2020-09–2023-06 Wuhan University MS, Pattern Recognition 2024-09– Nanjing University PhD, Computer Science（在读） · 导师 Yao Yao；Tieniu Tan	真实感三维重建 RobbyAnt · Research Intern2025-09–导师 Yinghao Xu。
Shuaiting LiResearch Intern导师：Yinghao XU GitHub GitHub 关注 9 Stars 20	2023 Zhejiang University, College of Information Science and Electronic Engineering 本科 2023-09– Zhejiang University, College of Information Science and Electronic Engineering PhD（在读） · 导师 Haibin Shen	模型压缩、向量量化、边缘加速器、大模型量化感知训练、世界动作模型推理系统 VIVO Mobile Communication · Research Intern2024-03–2025-09 RobbyAnt · Research Intern导师 Yinghao Xu、Zifan Shi。
Yuze He校友 · Research mentee导师：Yinghao XU Google Scholar · GitHub GitHub 关注 0 Stars 0	—	PhD, Tsinghua University 教师主页 Alumni 所列过往研究成员
Chuhao Chen校友 · Research mentee导师：Yinghao XU GitHub GitHub 关注 47 Stars 209	—	PhD, Carnegie Mellon University 教师主页 Alumni 所列过往研究成员
Mingrui Yu校友 · Research mentee导师：Yinghao XU Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 20 GitHub 关注 168 Stars 830	—	Postdoc, UC Berkeley 教师主页 Alumni 所列过往研究成员
Junke Wang校友 · Research mentee导师：Yinghao XU GitHub GitHub 关注 157 Stars 953	—	Research Scientist, ByteDance Seed 教师主页 Alumni 所列过往研究成员
Zifan Shi校友 · Research mentee导师：Yinghao XU	—	Research Scientist, Adobe 教师主页 Alumni 所列过往研究成员
Qihang Zhang校友 · Research mentee导师：Yinghao XU Google Scholar · GitHub GitHub 关注 144 Stars 411	—	Senior Research Scientist, Robbyant 教师主页 Alumni 所列过往研究成员
Ruizhi Shao校友 · Research mentee导师：Yinghao XU 简历 · Google Scholar · GitHub · X GitHub 关注 244 Stars 1,143	—	Senior Research Scientist, Rhoda AI 教师主页 Alumni 所列过往研究成员
Tong Wu校友 · Research mentee导师：Yinghao XU X · GitHub GitHub 关注 555 Stars 1,361	—	Assistant Professor, Fudan University 教师主页 Alumni 所列过往研究成员
Xian Liu校友 · Research mentee导师：Yinghao XU 简历 · Google Scholar · GitHub · X · LinkedIn GitHub 关注 187 Stars 983	—	Research Scientist, xAI 教师主页 Alumni 所列过往研究成员
Jianyuan Wang校友 · Research mentee导师：Yinghao XU 简历 · Google Scholar · X · GitHub GitHub 关注 784 Stars 521	—	PhD, University of Oxford VGG 教师主页 Alumni 所列过往研究成员
Hao He校友 · Research mentee导师：Yinghao XU Google Scholar · GitHub GitHub 关注 65 Stars 750	—	PhD, CUHK MMLab 教师主页 Alumni 所列过往研究成员
Qingyan Bai校友 · Research mentee导师：Yinghao XU	—	PhD, HKUST 教师主页 Alumni 所列过往研究成员
Shengqu Cai校友 · Research mentee导师：Yinghao XU 简历 · Google Scholar · Semantic Scholar · GitHub · X · LinkedIn GitHub 关注 84 Stars 773	—	PhD, Stanford University 教师主页 Alumni 所列过往研究成员
Zhengfei Kuang校友 · Research mentee导师：Yinghao XU 简历 · Google Scholar · GitHub · X GitHub 关注 59 Stars 57	—	Research Scientist, NVIDIA 教师主页 Alumni 所列过往研究成员
Hansheng Chen校友 · Research mentee导师：Yinghao XU	—	PhD, Stanford University 教师主页 Alumni 所列过往研究成员
Yang Zheng校友 · Research mentee导师：Yinghao XU 简历 · Google Scholar · GitHub · X GitHub 关注 100 Stars 577	—	PhD, Stanford University 教师主页 Alumni 所列过往研究成员
Ran YanPhD · 2023 Fall–导师：Binhang YUANCSE Google Scholar · GitHub · LinkedIn GitHub 关注 11 Stars 0	Peking University BSc
Fangyu DingPhD · 2024 Fall–导师：Binhang YUANCSE GitHub · LinkedIn GitHub 关注 21 Stars 2	2017–2021 SJTU BEng, Computer Science 2021–2024 SJTU MEng, Computer Science	probabilistic methods、diffusion language models
Guangxin HePhD · 2024 Fall–导师：Binhang YUANCSE GitHub GitHub 关注 1 Stars 0	University of Chinese Academy of Sciences Bachelor ICT, Chinese Academy of Sciences Master	LLM systems、augmented generation
Zipeng QiuPhD · 2024 Fall–导师：Binhang YUANCSE	Fudan University BSc
You PengPhD · 2024 Fall–导师：Binhang YUANCSE Google Scholar · LinkedIn · GitHub GitHub 关注 1 Stars 0	2019–2024 University of Toronto BSc, Data Science and Statistics	database-related LLM agents、ML systems Apache IoTDB · Database Assistant Intern（本科期间）2020-07–2021-07 Fidelity Investments Canada · Machine Learning Analytics（本科期间）2022-05–2023-04
Chenyue LiPhD · 2024 Fall–导师：Binhang YUANCSE	2019–2024 University of Toronto Honours BSc, Computer Science	AI for Science、database/distributed systems Huawei Canada · Assistant Engineer, R&D Co-op（本科期间）2022-05–2023-09 Voithos Labs · Software Engineer, part-time（本科期间）2023-09–2024-04
Yukun ZhouPhD · 2024 Fall–导师：Binhang YUANCSE GitHub GitHub 关注 24 Stars 4	Nanjing University BSc Tsinghua University MSc	与 Wei Wang co-supervised
Ding PanPhD · 2025 Spring–导师：Binhang YUANCSE	Shanghai Jiao Tong University BSc Peking University MSc
Xu XuPhD · 2025 Fall–导师：Binhang YUANCSE	Harbin Institute of Technology BSc Peking University MSc
Jiayi ChengPhD · 2025 Fall–导师：Binhang YUANCSE	Cornell University BSc Cornell University MSc
Xiaochen MaPhD · 2026 Spring–导师：Binhang YUANCSE	Sichuan University BSc
Daifeng LiPhD · 2026 Fall–导师：Binhang YUANCSE	USTC BSc
Wenshuang LiPhD · 2026 Fall–导师：Binhang YUANCSE	Tsinghua University BSc
Jiarui Zhang即将加入 · Incoming PhD · 2027 Fall–导师：Binhang YUAN	Tsinghua University BSc
Ka Chun Mok即将加入 · Incoming PhD · 2027 Fall–导师：Binhang YUAN	HKUST BSc
Youhe Jiang校友 · RA · 2026导师：Binhang YUAN GitHub · LinkedIn · Google Scholar GitHub 关注 86 Stars 61	—	PhD, University of Cambridge
Tianyi Bai校友 · PhD · 2026导师：Binhang YUANCSE 简历 · Google Scholar · GitHub GitHub 关注 54 Stars 95	2026 HKUST PhD	Tech lead, Tencent（首次任职）
Ximin LiPhD导师：Binhang YUANIIP	—	；Individualized Interdisciplinary Program
Yaofu LiuPhD导师：Binhang YUANAMC · 艺术与机器创造力	—	共同指导；
Hyeonjae Kim校友 · MPhil · 2026导师：Binhang YUANCSE	—
Jiashu Wang校友 · MPhil · 2026导师：Binhang YUANCSE	—
Yijia FangPhD · 2026–导师：Mingxun ZHOUCSE	2026– HKUST PhD
Yue ZhangPhD · 2026–导师：Mingxun ZHOUCSE	2026– HKUST PhD
Maolin WangResearch Assistant Professor · 2023–导师：Tim Kwang-Ting CHENG	2015 Tsinghua University BEng 2020 University of Hong Kong PhD	机器学习计算架构
Chen YangPostdoctoral Fellow · 2025–导师：Tim Kwang-Ting CHENG	2019 Huazhong University of Science and Technology BEng 2024 City University of Hong Kong PhD	隐私保护医学图像分析与多模态学习
Lin LiResearch Assistant Professor · 2024–导师：Tim Kwang-Ting CHENG	2024 Zhejiang University PhD	多模态大模型、开放世界感知与场景理解 Tim Cheng
Songchen MaPostdoctoral Fellow · 2024–导师：Tim Kwang-Ting CHENG	2019 Jilin University BEng 2024 Tsinghua University PhD	类脑计算架构、AI 芯片与智能系统
Pingcheng DongPhD Student · 2022–导师：Tim Kwang-Ting CHENGECE	Southern University of Science and Technology BEng in Microelectronic Science and Engineering The Hong Kong University of Science and Technology PhD（在读）	硬件感知模型压缩、AI 芯片与 3D 视觉加速器 Tim Cheng
Xixi JiangPhD Student · 2023–导师：Tim Kwang-Ting CHENGECE	2019 Huazhong University of Science and Technology Bachelor's degree 2022 Huazhong University of Science and Technology Master's degree The Hong Kong University of Science and Technology PhD（在读）	计算机视觉与医学图像分析 Tim Cheng
Yongkun WuPhD Student · 2022–导师：Tim Kwang-Ting CHENGECE	Nanjing University Bachelor's degree The Hong Kong University of Science and Technology PhD（在读）	AI 芯片系统、存内计算、软硬件协同设计 Tim Cheng; Chi-Ying Tsui; Fengbin Tu
Yonghao TanPhD Student · 2023–导师：Tim Kwang-Ting CHENGECE	2023 Southern University of Science and Technology BEng in Microelectronic Science and Engineering The Hong Kong University of Science and Technology PhD（在读）	AI 芯片软硬件协同设计、计算机视觉和 3D 处理 Tim Cheng
Fengshi TianPhD Student · 2021–导师：Tim Kwang-Ting CHENGECE	2021 Fudan University BEng in Microelectronics Science and Engineering The Hong Kong University of Science and Technology PhD（在读）	神经形态计算、专用架构和存内计算 Tim Cheng; Chi-Ying Tsui
Kunming ShaoPhD Student · 2023–导师：Tim Kwang-Ting CHENGECE	2023 South China University of Technology BEng in Microelectronics The Hong Kong University of Science and Technology PhD（在读）	AI 加速器、存内计算和计算机体系结构 Chi-Ying Tsui; Tim Cheng 共同指导
Xihao GuanPhD Student · 2022–导师：Tim Kwang-Ting CHENGECE	North University of China Bachelor's degree HKUST Master's in Integrated Circuit Design Engineering The Hong Kong University of Science and Technology PhD（在读）	存内计算、忆阻器与 AI 硬件加速器 Chi-Ying Tsui; Tim Cheng 共同指导
Yu CaiPhD Student · 2022–导师：Tim Kwang-Ting CHENGECE	2022 Huazhong University of Science and Technology BEng in Electronic and Information Engineering The Hong Kong University of Science and Technology PhD（在读）	医学图像分析与计算机视觉 Tim Cheng; Hao Chen
Weiwen ZhangPhD Student · 2023–导师：Tim Kwang-Ting CHENGCSE	HKUST Bachelor's in Data Science and Technology University of Hong Kong Master's in Computer Science and Engineering The Hong Kong University of Science and Technology PhD（在读）	深度学习、医学图像分析与计算病理 Tim Cheng; Hao Chen
Shucheng DuPhD Student · 2025–导师：Tim Kwang-Ting CHENGECE	2024 Beijing Institute of Technology Bachelor's in Engineering The Hong Kong University of Science and Technology PhD（在读）	边缘 AI 推理芯片、算法、软件栈与硬件协同设计 AI Chip Center for Emerging Smart Systems (ACCESS) · Research Intern2024 年本科毕业后、2025 年博士入组前 Tim Cheng
Yangyi ZhangPhD Student · 2025–导师：Tim Kwang-Ting CHENGECE	2022 Southern University of Science and Technology BEng in Microelectronic Science and Engineering The Hong Kong University of Science and Technology PhD（在读） 2025 Southern University of Science and Technology MEng in Electronic Science and Technology	AI 芯片与神经网络的软硬件协同设计 Tim Cheng
Shih-Yang (Sean) Liu校友 · PhD Student · 2022 - 2026导师：Tim Kwang-Ting CHENGCSE	2026 The Hong Kong University of Science and Technology PhD
Dong Zhang校友 · Postdoc and RAP · 2022 - 2025导师：Tim Kwang-Ting CHENG	—
Xijie Huang校友 · PhD Student · 2020 - 2025导师：Tim Kwang-Ting CHENGCSE	2025 The Hong Kong University of Science and Technology PhD
Jingyu He校友 · PhD Student · 2020 - 2025导师：Tim Kwang-Ting CHENGECE	2025 The Hong Kong University of Science and Technology PhD	共同指导
Shuhan Li校友 · PhD Student · 2019 - 2025导师：Tim Kwang-Ting CHENGCSE	2025 The Hong Kong University of Science and Technology PhD
Yi Lin校友 · PhD Student · 2022 - 2024导师：Tim Kwang-Ting CHENGCSE	2024 The Hong Kong University of Science and Technology PhD	共同指导
Benteng Ma校友 · Postdoctoral Researcher · 2022 - 2024导师：Tim Kwang-Ting CHENG	—
Jeffry Wicaksana校友 · PhD Student · 2019 - 2024导师：Tim Kwang-Ting CHENGECE	2024 The Hong Kong University of Science and Technology PhD
Huimin Wu校友 · PhD Student · 2019 - 2024导师：Tim Kwang-Ting CHENGCSE	2024 The Hong Kong University of Science and Technology PhD
Weihang Dai校友 · PhD Student · 2019 - 2023导师：Tim Kwang-Ting CHENGCSE	2023 The Hong Kong University of Science and Technology PhD
Xiaofeng Hou校友 · Postdoctoral Researcher · 2021 - 2023导师：Tim Kwang-Ting CHENG	—
Fengbin Tu校友 · Postdoctoral Researcher · 2022 - 2023导师：Tim Kwang-Ting CHENG	—
Shichao Li校友 · PhD Student · 2016 - 2022导师：Tim Kwang-Ting CHENG	—
Zechun Liu校友 · PhD Student · 2016 - 2021导师：Tim Kwang-Ting CHENG	—
Yuyang Wang校友 · PhD Student · 2015 - 2021导师：Tim Kwang-Ting CHENG	—
Zengqiang Yan校友 · PhD and Postdoc · 2016 - 2020导师：Tim Kwang-Ting CHENG	—
Guang Chen校友 · MPhil Student · 2017 - 2020导师：Tim Kwang-Ting CHENG	—
Zhiwei Wang校友 · Postdoctoral Researcher · 2019 - 2020导师：Tim Kwang-Ting CHENG	—
Chong Huang校友 · PhD Student · 2014 - 2020导师：Tim Kwang-Ting CHENG	—
Leilai Shao校友 · PhD Student · 2015 - 2020导师：Tim Kwang-Ting CHENG	—
Hui Pan校友 · MPhil Student · 2016 - 2019导师：Tim Kwang-Ting CHENG	—
Nicole Fern校友 · PhD and Visiting · 2011 - 2018导师：Tim Kwang-Ting CHENG	—
Miguel Lastras校友 · PhD and Visiting · 2010 - 2017导师：Tim Kwang-Ting CHENG	—
Jonghyeon JuPhD Student导师：Tim Kwang-Ting CHENGECE	The Hong Kong University of Science and Technology PhD（在读）
Yuzhang WangPhD Student导师：Tim Kwang-Ting CHENGECE	The Hong Kong University of Science and Technology PhD（在读）
Vernon Rego校友 · PhD Student · June 1985导师：Lionel M. NI	1985 Michigan State University PhD	Modeling and Analysis of Token-Passing Computer Networks a full professor with the Department of Computer Science, Purdue University.（履历所载）履历列出的博士指导关系。
Chong-Wei Xu校友 · PhD Student · May 1986导师：Lionel M. NI	1986 Michigan State University PhD	Dynamic Process Migration for Load Balancing in Distributed Sys tems a full professor with the Department of Computer Science, Georgia Southern University.（履历所载）履历列出的博士指导关系。
Thomas B. Gendreau校友 · PhD Student · May 1987导师：Lionel M. NI	1987 Michigan State University PhD	A Unified Environment for Distributed Computing an associate professor with the Department of Computer Science, University of Wisconsin, Lacrosse.（履历所载）履历列出的博士指导关系。
Ching-Farn E. Wu校友 · PhD Student · August 1987导师：Lionel M. NI	1987 Michigan State University PhD	Application of Logical Circuit Representation to CMOS Circuit Design and Verification a senior MTS with IBM Watson Research Center.（履历所载）履历列出的博士指导关系。
Taieb Znati校友 · PhD Student · May 1988导师：Lionel M. NI	1988 Michigan State University PhD	Design and Analysis of Local Area Network Protocols for Distributed Real-time Applications a full professor with the Department of Computer Science, University of Pittsburgh and US NSF Division Director.（履历所载）履历列出的博士指导关系。
Chung-Ta King校友 · PhD Student · June 1988导师：Lionel M. NI	1988 Michigan State University PhD	Pipelined Data Parallel Algorithms: Concept, Design, and Modeling Associate Dean in College of EECS and full professor with the Department of Computer Sci ence, National Tsing Hua University, Taiwan.（履历所载）履历列出的博士指导关系。
Bruce McMillin校友 · PhD Student · June 1988导师：Lionel M. NI	1988 Michigan State University PhD	Reliable Parallel Processing: The Application Oriented Paradigm a full professor with the Department of Computer Science, Missouri University of Science and Technology.（履历所载）履历列出的博士指导关系。
Youran Lan校友 · PhD Student · July 1988导师：Lionel M. NI	1988 Michigan State University PhD	Interprocessor Communication in Distributed-Memory Multiprocessors an associate professor with the Department of Computer Science, University of Missouri at Columbia (passed away in 2002).（履历所载）履历列出的博士指导关系。
Jiann Liao校友 · PhD Student · June 1989导师：Lionel M. NI	1989 Michigan State University PhD	Verification of MOS Circuits at the Switch Level a senior engineer with Integrated Device Technology, San Jose, CA.（履历所载）履历列出的博士指导关系。
Xian-He Sun校友 · PhD Student · May 1990导师：Lionel M. NI	1990 Michigan State University PhD	Parallel Computation Models: Representation, Analysis, and Applica tions Professor and Chair with the Department of Computer Science, Illinois Institute of Technology, Chicago, IL.（履历所载）履历列出的博士指导关系。
Carl B. Erickson校友 · PhD Student · May 1991导师：Lionel M. NI	1991 Michigan State University PhD	Design and Evaluation of a Hierarchical Bus Multiprocessor professor with the Department of Information Technology, Uppsala University, Sweden.（履历所载）履历列出的博士指导关系。
Xiaola Lin校友 · PhD Student · December 1991导师：Lionel M. NI	1991 Michigan State University PhD	Multicast Communication in Multicomputer Networks full professor with the School of Information Science and Technology, Sun Yat-Sen University, China.（履历所载）履历列出的博士指导关系。
Honda Shing校友 · PhD Student · January 1992导师：Lionel M. NI	1992 Michigan State University PhD	A Conflict-Free Memory Design for Shared-Memory Multiproces sors co-founder and CTO of Intervideo Corp., San Jose, California, now PhD candidate in Physics at UC Berkeley.（履历所载）履历列出的博士指导关系。
Ten-Hwan Tzen校友 · PhD Student · February 1992导师：Lionel M. NI	1992 Michigan State University PhD	Advanced Loop Optimization: Dependence Uniformization and Trapezoid Self-Scheduling manager of C++ compiler group at Microsoft Corporation, Wash ington.（履历所载）履历列出的博士指导关系。
Jayashree Ramanathan校友 · PhD Student · July 1992导师：Lionel M. NI	1992 Michigan State University PhD	Data Placement in Shared-Virtual-Memory Multiprocessors with Non-Uniform Memory Access Times manager at IBM, Austin, Texas.（履历所载）履历列出的博士指导关系。
Christopher J. Glass校友 · PhD Student · July 1992导师：Lionel M. NI	1992 Michigan State University PhD	Designing Maximally Adaptive Algorithms for Wormhole Rout ing: The Turn Model (received the Outstanding Paper honor at the 1992 International Symposium on Computer Architecture) with Pharmacia & Upjohn Corp., Kalamazoo, Michigan.（履历所载）履历列出的博士指导关系。
Arun K. Nanda校友 · PhD Student · September 1992导师：Lionel M. NI	1992 Michigan State University PhD	A Framework for Multiprocessor Performance Characterization and Calibration (received the Outstanding Paper Award at the 1992 International Conference on Parallel Processing) manager at Microsoft Corp., Washington.（履历所载）履历列出的博士指导关系。
Hong Xu校友 · PhD Student · October 1994导师：Lionel M. NI	1994 Michigan State University PhD	Compilation-Time Data Decomposition Optimization for Data Parallel Programs Director of Engineering at Cisco Systems Inc., San Jose, CA.（履历所载）履历列出的博士指导关系。
Stephen W. Turner校友 · PhD Student · January 1995导师：Lionel M. NI	1995 Michigan State University PhD	Processor Scheduling in a Distributed-Memory Computing Environment (received the Best Student Paper Award at Supercomputing'94) an associate professor with the Department of Computer Science, University of Michigan at Flint.（履历所载）履历列出的博士指导关系。
Edgar T. Kalns校友 · PhD Student · May 1995导师：Lionel M. NI	1995 Michigan State University PhD	Scalable Data Redistribution Services for Distributed-Memory Ma chines Entrepreneurial Computer Scientist, SRI International, San Francisco.（履历所载）履历列出的博士指导关系。
Chi-Ming Chiang校友 · PhD Student · May 1995导师：Lionel M. NI	1995 Michigan State University PhD	Multicasting in Multistage Interconnection Networks Director of Product Development, Delta Electronics, Inc., Taiwan.（履历所载）履历列出的博士指导关系。
Yew-Huey Liu校友 · PhD Student · August 1996导师：Lionel M. NI	1996 Michigan State University PhD	A Framework for Distributed Web Services (received the Out standing Paper Award at the 1996 International Conference on Parallel and Distributed Systems) senior MTS at IBM Watson Research Center.（履历所载）履历列出的博士指导关系。
Wenjian Qiao校友 · PhD Student · September 1997导师：Lionel M. NI	1997 Michigan State University PhD	Network Routing and Planning in Switch-based Networks MTS at IBM Research Triangle Park, Raleigh, North Carolina.（履历所载）履历列出的博士指导关系。
Natawut Nupaiorj校友 · PhD Student · May 1998导师：Lionel M. NI	1998 Michigan State University PhD	Multicast Communication: From Platform-Independent Modeling to Platform-Dependent Tuning (received the Outstanding Paper Award at the 1996 International Conference on Parallel Processing) an associate professor with the Department of Computer Science at Chulalongkorn University, Thailand.（履历所载）履历列出的博士指导关系。
Wei-Kuo Liao校友 · PhD Student · December 1999导师：Lionel M. NI	1999 Michigan State University PhD	Bounded-Cell-Loss-Ratio Flow Control and Reliable ABR Mul ticast an assistant professor with the Department of Communication Engineering, National Chiao Tung University, Hsinchu, Taiwan.（履历所载）履历列出的博士指导关系。
Xipeng Xiao校友 · PhD Student · April 2000导师：Lionel M. NI	2000 Michigan State University PhD	Providing QoS in the Internet (received the 1997 ACM Best Graduate Research Contest Award) Director of Marketing, Huawei Europe, Germany（履历所载）履历列出的博士指导关系。
Fan Du校友 · PhD Student · August 2001导师：Lionel M. NI	2001 Michigan State University PhD	Supporting Real-Time and Multimedia Applications in Wireless Networks MTS at Green Packet Network Inc., San Jose, CA.（履历所载）履历列出的博士指导关系。
Yong Chen校友 · PhD Student · May 2002导师：Lionel M. NI	2002 Michigan State University PhD	CoStore: A Storage Cluster Architecture Using Network Attached Storage Devices MTS at Microsoft Corp., Redmond, Washington.（履历所载）履历列出的博士指导关系。
Vibhavasu Vuppala校友 · PhD Student · May 2002导师：Lionel M. NI	2002 Michigan State University PhD	Virtual Network Ports Vice President of Information Tech nology, QGS Inc., Michigan.（履历所载）履历列出的博士指导关系。
Pei Zheng校友 · PhD Student · May 2003导师：Lionel M. NI	2003 Michigan State University PhD	A Cluster Architecture Supporting Network Emulation Head and Sen ior Manager of Samsung AT&T/T-Mobile R&D lab in Bellevue, Washington.（履历所载）履历列出的博士指导关系。
Yunhao Liu校友 · PhD Student · July 2004导师：Lionel M. NI	2004 Michigan State University PhD	Building Efficient and Secured Peer-to Peer Systems Professor and Dean of Software College, Tsing Hua University, Beijing, China.（履历所载） co-supervised with Prof. Li Xiao
Abhishek P. Patil校友 · PhD Student · July 2005导师：Lionel M. NI	2005 Michigan State University PhD	Overlay Multicast in MANETs Senior Wireless Engineer, Corp. R&D Systems division, Qualcomm, San Diego, CA（履历所载） co-supervised with Prof. Abdol Esfahanian
Hongbo Zhou校友 · PhD Student · July 2005导师：Lionel M. NI	2005 Michigan State University PhD	Autoconfiguration and Security for Wireless Networks an associate professor with the Department of Computer Science, Slippery Rock University, Slippery Rock, PA.（履历所载） co-supervised with Prof. Matt Mutka
Feng Zhu校友 · PhD Student · June 2006导师：Lionel M. NI	2006 Michigan State University PhD	Secure and Private Service Discovery in Pervasive Computing Environments an assistant professor with the Department of Com puter Science, University of Alabama in Huntsville, Huntsville, AL. （履历所载） co-supervised with Prof. Matt Mutka
Yanmin Zhu校友 · PhD Student · July 2007导师：Lionel M. NI	2007 HKUST PhD	Low-Power Event Detection and Wakeup Scheduling in Wireless Sensor Networks Research Associate at Imperial College London, now Associate Professor in the Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China（履历所载）履历列出的博士指导关系。
Jian Ma校友 · PhD Student · July 2007导师：Lionel M. NI	2007 HKUST PhD	The Impact of Radio Signal Strength on the Design of Wireless Sensor Net works Vice President of Quantitative Research in Equity Derivatives Group, J.P. Morgan, Hong Kong（履历所载）履历列出的博士指导关系。
Yunhuai Liu校友 · PhD Student · August 2008导师：Lionel M. NI	2008 HKUST PhD	Probabilistic Topology Control in Wireless Sensor Networks (re ceived the 2008 IEEE ICDCS Outstanding Paper Award) Deputy Director and Associate Researcher of IoT Lab, The Third Research Institute of Ministry of Public Security, Shanghai（履历所载）履历列出的博士指导关系。
Quanbin Chen校友 · PhD Student · August 2008导师：Lionel M. NI	2008 HKUST PhD	General Clustering Framework in Wireless Sensor Networks Manager, HSBC, Hong Kong（履历所载）履历列出的博士指导关系。
Yiyang Zhao校友 · PhD Student · April 2010导师：Lionel M. NI	2010 HKUST PhD	Localization and Tracking Based on RFID Technologies Postdoc Researcher, Tsinghua University, Beijing（履历所载）履历列出的博士指导关系。
Dian Zhang校友 · PhD Student · May 2010导师：Lionel M. NI	2010 HKUST PhD	Localizing Transceiver-free Objects: The RF-Based Approaches Assistant Professor at Shenzhen University, Shenzhen, China（履历所载）履历列出的博士指导关系。
Yanyan Yang校友 · PhD Student · June 2010导师：Lionel M. NI	2010 HKUST PhD	Channel Assignment and Its Applications in Wireless Networks Financial Analyst, Deutsche Bank AG, London, UK（履历所载）履历列出的博士指导关系。
Kaishun Wu校友 · PhD Student · June 2011导师：Lionel M. NI	2011 HKUST PhD	Communication over Interference in Wireless Networks (received the 2012 Hong Kong Young Scientist Award) Research Assistant Professor at the Hong Kong University of Science and Technology.（履历所载）履历列出的博士指导关系。
Siyuan Liu校友 · PhD Student · August 2011导师：Lionel M. NI	2011 HKUST PhD	Incomplete Data Analysis in Smart City Applications Research Scientist at Carnegie Mellon University.（履历所载）履历列出的博士指导关系。
Hoi-Lun Ngan校友 · PhD Student · September 2012导师：Lionel M. NI	2012 HKUST PhD	Resource Optimization in Wireless Communication Systems: From Worthless to Valuable Equity Derivatives Developer at Royal Bank of Scotland Group, Hong Kong.（履历所载）履历列出的博士指导关系。
Wuman Luo校友 · PhD Student · December 2012导师：Lionel M. NI	2012 HKUST PhD	Efficient Algorithms for Frequent Path Finding and Similarity Join in Massive Multi-dimensional Datasets Research Assistant Professor at the Hong Kong Uni versity of Science and Technology（履历所载）履历列出的博士指导关系。
Haoyu Tan校友 · PhD Student · December 2012导师：Lionel M. NI	2012 HKUST PhD	An Efficient Storage System for Big Trajectory Data Research Assistant Professor at the Hong Kong University of Science and Technology（履历所载）履历列出的博士指导关系。
Xiaonan Guo校友 · PhD Student · August 2013导师：Lionel M. NI	2013 HKUST PhD	From Localization to Floor Plan Identification Research Asso ciate at Singapore Management University（履历所载）履历列出的博士指导关系。
Jiansu Pu校友 · PhD Student · August 2013导师：Lionel M. NI	2013 HKUST PhD	Visual Summarization and Analy sis of Spatio-Temporal Data Research Associate at the Hong Kong University of Science and Technology（履历所载） co-supervised with Prof. Huamin Qu
Min Gao校友 · PhD Student · April 2014导师：Lionel M. NI	2014 HKUST PhD	Monitoring and Application of Wire less Sensor Networks Executive Director of Division of Internet of Things, Guangzhou HKUST Fok Ying Tung Research Institute（履历所载） co-supervised with Prof. Qian Zhang
Haochao Li校友 · PhD Student · May 2014导师：Lionel M. NI	2014 HKUST PhD	Towards Efficient Communication in WLANs Based on Cross-Layer De sign Research Associate at the Hong Kong University of Science and Technology（履历所载）履历列出的博士指导关系。
Jiang Xiao校友 · PhD Student · May 2014导师：Lionel M. NI	2014 HKUST PhD	Enhancing WLAN-based Indoor Localization with Channel State Infor mation Research Associate at the Hong Kong University of Science and Technology（履历所载）履历列出的博士指导关系。
Ye Ding校友 · PhD Student · June 2014导师：Lionel M. NI	2014 HKUST PhD	AVATAR: A System for the Analysis of Vast Amount of Trajectories and Roads Research Associate at the Hong Kong University of Science and Technology （履历所载）履历列出的博士指导关系。
Hongzi Zhu校友 · PhD Student · January 2009导师：Lionel M. NI	2009 Shanghai Jiao Tong University PhD	On New-Generation Intelligent Transportation Information Services Using Vehicular Sensor Networks, Shanghai Jiao Tong University Assistant Professor at Shanghai Jiao Tong University, Shanghai, China（履历所载）履历列出的博士指导关系。
Huajian Mao校友 · PhD Student · May 2013导师：Lionel M. NI	2013 National University of Defense Technology PhD	Research on Key Technologies of Mobile Storage and Spatial Temporal Data Analysis in Cloud Environment, National University of Defense Technology Research Associate, Academy of Military Medical Sciences, Beijing, China（履历所载）履历列出的博士指导关系。
Maocheng Li校友 · MPhil Student导师：Lionel M. NI	The Hong Kong University of Science and Technology MPhil	Lecturer, HKUST CSE
Hao Zhang校友 · PhD Student · 2023–2024 年度毕业论文奖记录导师：Lionel M. NI	—	与 Harry Shum 共同指导。
Ceyu XuResearch Assistant Professor导师：Yuan XIE	Duke University PhD in Computer Science	机器学习硬件加速器、大语言模型、压缩量化与 AI for EDA
Xueqi LiPostdoctoral Researcher导师：Yuan XIE	2021 Southeast University BS in Electrical Engineering 2026 Tsinghua University PhD in Integrated Circuits（网页标注预计2026年取得）	存内计算架构与芯片、专用架构和软硬件协同设计
Jun XiaPostdoctoral Researcher导师：Yuan XIE	2023 East China Normal University PhD	边缘—云智能系统与可信 AI 博士导师 Mingsong Chen；曾在 Notre Dame 跟随 Yiyu Shi 从事博士后研究。
Weikai XuPostdoctoral Researchers导师：Yuan XIE	Peking University Doctoral study in Integrated Circuits	新型器件存内计算与搜索、硬件—算法协同设计
Yiyang YuanPostdoctoral Researcher导师：Yuan XIE	2021 Beijing Institute of Technology BS in Electronic Information Engineering 2025 Institute of Microelectronics, Chinese Academy of Sciences PhD in Microelectronics and Solid State Electronics	存内计算、RISC-V、AI 加速器与具身智能博士导师 Feng Zhang。
Shirui ZhaoPostdoc Researcher导师：Yuan XIE	Northwestern Polytechnical University BSc in Electrical and Electronics Engineering 2015 University of Chinese Academy of Sciences MSc in Microelectronics KU Leuven PhD	RISC-V 异构多核、概率机器学习、神经符号计算和流片博士导师 Marian Verhelst；博士后导师 Yuan Xie。
Zeyu Zhu即将加入 · Incoming Postdoctoral Researcher导师：Yuan XIE	Institute of Automation, Chinese Academy of Sciences PhD student	大语言模型、图神经网络和软硬件协同设计个人成员页列博士导师 Jian Cheng，并写明 incoming postdoctoral researcher。
Ningzhi AiPhD Student导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	预取器、分支预测器和 AI 计算架构
Xin FanPhD Student导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	数据中心互连、通信和 scale-up 系统
Yanqin LiPhD Student导师：Yuan XIEECE	Institute of Computing Technology, Chinese Academy of Sciences MS The Hong Kong University of Science and Technology PhD（在读）
Zihan LinPhD Student导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	3D 视觉与具身 AI
Qi LiuPhD Student导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	密码与推理加速器、FPGA 后端优化及硬件形式化验证
Ruyi SongPhD Student导师：Yuan XIEECE	Zhejiang University Bachelor's degree Zhejiang University Master's degree The Hong Kong University of Science and Technology PhD（在读）	3D 集成电路
Wenhao SunPhD Student导师：Yuan XIEECE	Institute of Computing Technology, Chinese Academy of Sciences MS The Hong Kong University of Science and Technology PhD（在读）	具身 AI 与机器人体系结构
Xiangfeng SunPhD Student导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	计算机体系结构与 VLSI
Renati TuerhongPhD Student导师：Yuan XIE	Peking University Bachelor's degree The Hong Kong University of Science and Technology PhD（在读）	3D Gaussian Splatting 和具身 AI 的硬件架构 2026-10-17 官方 RPG 记录列为 HKUST Electronic and Computer Engineering 在读 PhD，由 Yuan Xie 指导。
Hongyi WangPhD Student导师：Yuan XIEECE	Tsinghua University Master's degree The Hong Kong University of Science and Technology PhD（在读）	软硬件协同设计、FPGA 加速器与具身 AI
Yiran XiaPhD Student · 2025–导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	AI 应用专用硬件、系统支持和 AI 辅助 EDA
Zhaohui YangPhD Student · 2024-09–导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	量子计算机系统和容错量子计算
Jiangnan YuPhD Student导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	硬件加速器、高性能计算与 AI
Ruiyun ZhangPhD Student导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	连续变量量子系统、容错量子计算与量子编译器
Ziyi ZhouPhD Student导师：Yuan XIEECE	Southeast University BS in Computer Science Dartmouth College MS in Computer Science The Hong Kong University of Science and Technology PhD（在读）	大语言模型、具身 AI 与 AI 加速器
Shiyu HuangExchange Student导师：Yuan XIE	Nanjing University Undergraduate in Integrated Circuit Design and Integrated System	计算机架构和高效计算系统
Bohan LiExchange Student导师：Yuan XIE	South China University of Technology Undergraduate in Microelectronics	架构级功耗性能建模、CPU 微架构
Yi Shi即将加入 · Incoming Visiting Student导师：Yuan XIE	Nanjing University Undergraduate in Integrated Circuit Design and Integrated System	AI 加速器、GPU 计算与高效 LLM 推理
Yi Sun即将加入 · Incoming PhD Student导师：Yuan XIE	—	计算机体系结构与 AI for architecture
Xinyao Wang即将加入 · Incoming Visiting Student导师：Yuan XIE	Tsinghua University Undergraduate in Electrical Engineering	存内计算和专用加速器
Xunyuan Liu即将加入 · Incoming Visiting Student导师：Yuan XIE	Tsinghua University Undergraduate in Electrical Engineering	智能体系统与硬件优化
Yi Xu即将加入 · Incoming PhD Student导师：Yuan XIE	Tsinghua University Undergraduate in Electrical Engineering	AI 基础设施与专用计算架构
Fengbin Tu校友 · Postdoctoral Researcher · 2022导师：Yuan XIE	Tsinghua University PhD	HKUST
Lei Deng校友 · Postdoctoral Researcher · 2020导师：Yuan XIE	2012 University of Science and Technology of China BE in Mechanical Engineering and Automation 2017 Tsinghua University PhD in Instrument Science and Technology	Tsinghua University
Jiayi Huang校友 · Postdoctoral Researcher · 2022导师：Yuan XIE	Zhejiang University BE Texas A&M University PhD	Alibaba
Weitao Li校友 · Postdoctoral Researcher · 2020导师：Yuan XIE	Tsinghua University PhD	Tsinghua University
Xin Ma校友 · Postdoctoral Researcher · 2019导师：Yuan XIE	2009 University of Science and Technology of China BS 2014 College of William and Mary PhD	Software Engineer at Google
Xing Hu校友 · Postdoctoral Researcher · 2019导师：Yuan XIE	Huazhong University of Science and Technology BS Chinese Academy of Sciences PhD	Chinese Academy of Science
Yongsoo Joo校友 · Postdoctoral Researcher · 2010导师：Yuan XIE	Seoul National University PhD	Associate Professor at Kookmin University
Lian Duan校友 · Postdoctoral Researcher · 2010导师：Yuan XIE	Peking University PhD
Guyue Huang校友 · PhD student · 2024导师：Yuan XIE	2020 Tsinghua University BE
Anbang Wu校友 · PhD student · 2024导师：Yuan XIE	Zhejiang University BE in Computer Science Zhejiang University ME in Computer Science
Yuke Wang校友 · PhD student · 2024导师：Yuan XIE	University of Electronic Science and Technology of China BE in Software Engineering
Zhaodong Chen校友 · PhD student · 2024导师：Yuan XIE	—
Nan Wu校友 · PhD student · 2023导师：Yuan XIE	2016 Tsinghua University BS in Electronic Engineering 2018 University of California, Santa Barbara MS
Bangyan Wang校友 · PhD student · 2023导师：Yuan XIE	—
Zheng Qu校友 · PhD student · 2023导师：Yuan XIE	2018 Tsinghua University BS in Electronic Engineering
Wenqin Huangfu校友 · PhD student · 2022导师：Yuan XIE	2016 Tsinghua University BS in Electronic Engineering
Gushu Li校友 · PhD student · 2022导师：Yuan XIE	2015 Tsinghua University BE in Electronic Engineering 2015–2017 University of Chicago PhD study
Jilan Lin校友 · PhD student · 2022导师：Yuan XIE	Tsinghua University BE in Electronic Engineering
Minyu Yan校友 · PhD student · 2020导师：Yuan XIE	Chinese Academy of Sciences PhD	Chinese Academy of Science, Assistant Professor
Liu Liu校友 · PhD student · 2022导师：Yuan XIE	University of Electronic Science and Technology of China BS University of California, Santa Barbara MS	Rensselaer Polytechnic Institute
Xinfeng Xie校友 · PhD student · 2022导师：Yuan XIE	Peking University BS	Meta
Tianqi Tang校友 · PhD student · 2022导师：Yuan XIE	2014 Tsinghua University BS 2017 Tsinghua University MS	Meta
Boyuan Feng校友 · PhD student · 2022导师：Yuan XIE	—	Meta
Liang Ling校友 · PhD student · 2022导师：Yuan XIE	2015 Beijing University of Posts and Telecommunications BS 2017 University of Southern California MS
Abanti Basak校友 · PhD student · 2021导师：Yuan XIE	Princeton University BS	Ampere
Peng Gu校友 · PhD student · 2021导师：Yuan XIE	Tsinghua University BS	Google
Dylan Stow校友 · PhD student · 2020导师：Yuan XIE	Harvey Mudd College BS in Engineering University of California, Santa Barbara MS in ECE 2020 University of California, Santa Barbara PhD in ECE	AMD
Itir Akgun校友 · PhD student · 2020导师：Yuan XIE	University of Illinois Urbana-Champaign BS 2020 University of California, Santa Barbara PhD in ECE	Qualcomm
Maohua Zhu校友 · PhD student · 2020导师：Yuan XIE	Tsinghua University BS Tsinghua University MS 2020 University of California, Santa Barbara PhD in ECE	Start-up
Kaisheng Ma校友 · PhD student · 2018导师：Yuan XIE	Peking University BS 2018 Pennsylvania State University PhD in CSE	Assistant Professor at Tsinghua University
Shuangchen Li校友 · PhD student · 2017导师：Yuan XIE	Tsinghua University BS Tsinghua University MS 2017 University of California, Santa Barbara PhD	Alibaba DAMO Lab
Hsiang-Yun Cheng校友 · PhD student · 2016导师：Yuan XIE	National Taiwan University BS National Taiwan University MS 2016 Pennsylvania State University PhD	Assistant Professor at Academia Sinica, Taiwan
Ping Chi校友 · PhD student · 2016导师：Yuan XIE	Tsinghua University BS Tsinghua University MS 2016 University of California, Santa Barbara PhD	Architect at Intel Corporation
Jia Zhan校友 · PhD student · 2016导师：Yuan XIE	Harbin Institute of Technology BS 2016 University of California, Santa Barbara PhD	Software Engineer at Uber
Qiaosha Zou校友 · PhD student · 2015导师：Yuan XIE	Huazhong University of Science and Technology BS 2015 Pennsylvania State University PhD	Now Assistant Professor at Fudan University
Jing Xie校友 · PhD student · 2015导师：Yuan XIE	Peking University BS North Carolina State University MS 2015 Pennsylvania State University PhD	GPU Staff Engineer at Qualcomm
Matt Poremba校友 · PhD student · 2015导师：Yuan XIE	Pennsylvania State University BS 2015 Pennsylvania State University PhD	Researcher at AMD
Cong Xu校友 · PhD student · 2014导师：Yuan XIE	Peking University BS 2014 Pennsylvania State University PhD	Senior Researcher at HP Lab
Jue Wang校友 · PhD student · 2014导师：Yuan XIE	Tsinghua University BS Tsinghua University MS 2014 Pennsylvania State University PhD	Software Engineer at Google
Jishen Zhao校友 · PhD student · 2014导师：Yuan XIE	Zhejiang University BS Zhejiang University MS 2014 Pennsylvania State University PhD	Associate Professor at UCSD
Tao Zhang校友 · PhD student · 2014导师：Yuan XIE	Peking University BS Peking University MS 2014 Pennsylvania State University PhD	Architect at Alibaba T-head
Dimin Niu校友 · PhD student · 2013导师：Yuan XIE	Tsinghua University BS Tsinghua University MS 2013 Pennsylvania State University PhD	Researcher at Alibaba DAMO Academy
Jin Ouyang校友 · PhD student · 2012导师：Yuan XIE	Peking University BS 2012 Pennsylvania State University PhD	GPU Architect at AMD
Yibo Chen校友 · PhD student · 2011导师：Yuan XIE	Tsinghua University BS Tsinghua University MS 2011 Pennsylvania State University PhD	Engineering Manager at Google
Guangyu Sun校友 · PhD student · 2011导师：Yuan XIE	Tsinghua University BS Tsinghua University MS 2011 Pennsylvania State University PhD	Associate Professor at Peking University
Xiangyu Dong校友 · PhD student · 2011导师：Yuan XIE	Shanghai Jiao Tong University BS 2011 Pennsylvania State University PhD	Staff SWE at Google
Mike Debole校友 · PhD student · 2010导师：Yuan XIE	Pennsylvania State University BS 2010 Pennsylvania State University PhD	Researcher at IBM
Soumya Eachempati校友 · PhD student · 2010导师：Yuan XIE	Indian Institute of Technology BS 2010 Pennsylvania State University PhD	Performance Architect for Server Platform at Intel
Prasanth Mangalagiri校友 · PhD student · 2010导师：Yuan XIE	Indian Institute of Technology BS Indian Institute of Technology MS 2010 Pennsylvania State University PhD	Senior Staff Engineer at Intel
Xiaoxia Wu校友 · PhD student · 2010导师：Yuan XIE	Tsinghua University BS Tsinghua University MS 2010 Pennsylvania State University PhD	Staff Engineer at Synopsys
Balaji Vaidyanathan校友 · PhD student · 2009导师：Yuan XIE	University of Madras BS 2009 Pennsylvania State University PhD	Senior Data Scientist at Walmart Lab
Feng Wang校友 · PhD student · 2008导师：Yuan XIE	Fudan University BS Fudan University MS 2008 Pennsylvania State University PhD	GPU Performance Architect at Intel
Yu Wang校友 · PhD student · 2007导师：Yuan XIE	2007 Tsinghua University PhD	Department Chair of EE at Tsinghua University
Wei-Lun Hung校友 · PhD student · 2006导师：Yuan XIE	National Tsinghua University BS National Tsinghua University MS 2006 Pennsylvania State University PhD	Software Engineer at Goldmen Saches
Pengfei Xu校友 · MS student · 2023导师：Yuan XIE	Shanghai Jiao Tong University BE
Yang Zhao校友 · MS student · 2019导师：Yuan XIE	Fudan University BS Fudan University MS	Rice University
Russell Barnes校友 · MS student · 2017导师：Yuan XIE	2015 Oregon State University BS in Electrical and Computer Engineering	Now at Qualcomm
Linuo Xue校友 · MS student · 2017导师：Yuan XIE	Harbin Institute of Technology BS	Now at Synopsys
Ziyang Qi校友 · MS student · 2016导师：Yuan XIE	Tsinghua University BS 2016 University of California, Santa Barbara MS	Now at Yahoo
Ivan Stalev校友 · MS student · 2015导师：Yuan XIE	Pennsylvania State University BS 2015 Pennsylvania State University MS	Now at VSCO
Yang Zheng校友 · MS student · 2015导师：Yuan XIE	Peking University BS 2015 Pennsylvania State University MS	Now at Google
Angeline Brown校友 · MS student · 2011导师：Yuan XIE	Jackson State University BS 2011 Pennsylvania State University MS
Paul Falkenstern校友 · MS student · 2008导师：Yuan XIE	2008 Pennsylvania State University MS	Now at Lockheed Martin
Charles Addo-Quaye校友 · MS student · 2007导师：Yuan XIE	2007 Pennsylvania State University MS	Now at Purdue
Han-wei Chen校友 · MS student · 2007导师：Yuan XIE	2007 Pennsylvania State University MS	Now at Intellectual Property Attorney
Melvin Eze校友 · MS student · 2007导师：Yuan XIE	2007 Pennsylvania State University MS	Now at Penn State
Yinkun Xue校友 · MS student · 2006导师：Yuan XIE	2006 Pennsylvania State University MS	Now at Siemens Inc.
Tom Richardson校友 · MS student · 2005导师：Yuan XIE	2005 Pennsylvania State University MS	Now at Availink Inc.
Ziyu Gu校友 · Exchange Student · 2025导师：Yuan XIE	Tsinghua University MS
Rachel Reyes校友 · Undergraduate Researcher · 2017导师：Yuan XIE	University of California, Santa Barbara BS
Nicole Moghaddas校友 · Undergraduate Researcher · 2016导师：Yuan XIE	University of California, Santa Barbara BS
Chunqing Liu校友 · Undergraduate Researcher · 2016导师：Yuan XIE	University of California, Santa Barbara BS
Zhansaya Abdikarimova校友 · Undergraduate Researcher · 2016导师：Yuan XIE	University of California, Santa Barbara BS	Now at Amazon
Jiayi Jiang校友 · Undergraduate Researcher · 2016导师：Yuan XIE	University of California, Santa Barbara BS	Now at UCLA
Matthew Ruth校友 · Undergraduate Researcher · 2015导师：Yuan XIE	University of California, Santa Barbara BS
Hsuan Cheng校友 · Undergraduate Researcher · 2015导师：Yuan XIE	University of California, Santa Barbara BS	Now at CMU
Zhiwang Zhang校友 · Undergraduate Researcher · 2015导师：Yuan XIE	Pennsylvania State University BS	Columbia University
Deanna Chnarrs校友 · Undergraduate Researcher · 2009导师：Yuan XIE	Pennsylvania State University BS	Now at Lockheed Martin
Benjamin Hvostal校友 · Undergraduate Researcher · 2008导师：Yuan XIE	Pennsylvania State University BS	Now at Intel
Shiyi LiuPhD Student导师：Yuan XIEECE	The Hong Kong University of Science and Technology PhD（在读）	AI 计算机架构，计算性能与能效优化
Haokai PangPhD Student · 2025-2029导师：Hongbo FUIIP	BIT BSc ETH Zurich MS The Hong Kong University of Science and Technology PhD（在读）	共同导师为 Anyi Rao
Jianxin HuangPhD Student · 2025-2029导师：Hongbo FUIIP	Tongji BSc The Hong Kong University of Science and Technology PhD（在读）	共同导师为 Anyi Rao
Zi-Chen XiPhD Student · 2025-2029导师：Hongbo FUIIP	Tsinghua Bachelor Tsinghua Master The Hong Kong University of Science and Technology PhD（在读）	共同导师为 Qifeng Chen
Boyu LiPhD Student · 2025-2029导师：Hongbo FUAMC · 艺术与机器创造力简历	2023 Xi’an Jiaotong University BEng in Automation The Hong Kong University of Science and Technology (Guangzhou) MPhil The Hong Kong University of Science and Technology PhD（在读）	生成式 AI 创作支持工具、AR/VR 三维交互、动画创作与三维内容编辑共同导师为 Zeyu Wang。硕士阶段由 Zeyu Wang、Huamin Qu 指导；博士阶段由 Hongbo Fu、Zeyu Wang 指导
Liheng ChenMPhil student (HKUST) · 2025-2027导师：Hongbo FU	Beijing Normal Bachelor	共同导师为 Anyi Rao
Zixuan YePhD Student · 2025-2029导师：Hongbo FUIIP	HUST BE HUST Master The Hong Kong University of Science and Technology PhD（在读）	主导师为 Wenhan Luo。共同指导
Gongye LiuPhD Student · 2025-2029导师：Hongbo FUIIP	Beihang BE Tsinghua (Shenzhen MSc The Hong Kong University of Science and Technology PhD（在读）	主导师为 Wenhan Luo。共同指导
Songlin YangPhD Student · 2025-2029导师：Hongbo FUIIP LinkedIn · GitHub · Google Scholar GitHub 关注 19 Stars 145	Nanjing University of Aeronautics and Astronautics BEng 2024 Institute of Automation, Chinese Academy of Sciences MS The Hong Kong University of Science and Technology PhD（在读）	生成与理解统一、多模态推理、电影长视频生成、创作者与模型协同学习 Tencent Video AI Center · Student Researcher Nanyang Technological University MMLab · Research Associate SenseTime Research, Content Generation Group · Research Intern Microsoft Research Asia, Machine Learning Group · Research Intern SenseTime Research, Identity Verification Group · Research Intern 主导师为 Anyi Rao。共同指导硕士导师为 Wei Wang、Jing Dong；博士导师为 Anyi Rao、Hongbo Fu。2026 年获 Tencent Project UP (Qingyun)
Junrong HuangPhD student (CityUHK) · 2023-2027导师：Hongbo FU	ZJU BE CMU MS	共同导师为 Jing Liao
Jiaye LengPhD student (CityUHK) · 2023-2027导师：Hongbo FU 简历 · Google Scholar · LinkedIn · ORCID · GitHub · OpenAlex OpenAlex 近三年 4 引用 63 h-index 5 GitHub 关注 2 Stars 0	China University of Mining and Technology BEng 2023 Beihang University Master City University of Hong Kong PhD（在读）	Human–AI Interaction、Creativity Support、Extended Reality 共同导师为 Miu Ling Lam 硕士导师为 Lili Wang；博士导师为 Hongbo Fu、Miu-Ling Lam。2023-05 加入 Hongbo Fu 团队任 RA，2023-09 开始 CityU 博士。
Qiaochu WangPhD student (CityUHK) · 2021-2025导师：Hongbo FU	ZJU BE Johns Hopkins MS	共同导师为 Manfred Lau
Jie Zhou校友 · PhD student (CityUHK) · 2020-2025导师：Hongbo FU GitHub · Google Scholar GitHub 关注 32 Stars 723	2017 Southeast University BSc in Computer Science and Technology 2020 Shanghai Jiao Tong University Master in Computer Technology 2025 City University of Hong Kong PhD	草图三维建模、三维角色动画与可控 AIGC Tencent YouTu Lab · Research Intern2019-07–2020-03 共同导师为 Miu Ling Lam 硕士导师为 Lizhuang Ma；博士导师为 Hongbo Fu、Miu-Ling Lam。2022-05 至 2022-09 在 CUHK Shenzhen GAP Lab 访问。
Linzi Qu校友 · PhD student (CityUHK) · 2021-2025导师：Hongbo FU GitHub GitHub 关注 1 Stars 1	2018 Xidian University BEng in Electronic Information Engineering 2021 Xidian University Master in Control Engineering and Science 2025 City University of Hong Kong PhD	可控人物内容生成、草图交互、角色动画共同导师为 Miu Ling Lam 硕士导师为 Xinbo Gao；博士导师为 Hongbo Fu、Miu-Ling Lam。2025-02 起访问清华 Yebin Liu 组，2022-05 至 2022-09 曾访问 CUHK Shenzhen GAP Lab。
Hui Ye校友 · Postdoc (HKUST) · 2022-2025导师：Hongbo FU Google Scholar · LinkedIn · ORCID · GitHub · OpenAlex GitHub 关注 2 Stars 0	University of Science and Technology of China BA in Communication；Minor in Computer Science and Technology City University of Hong Kong PhD	GenAI 与 AR/VR 支持的内容创作、交互设计、人机交互与传播研究 Assistant Professor, Department of Interactive Media, Hong Kong Baptist University 博士导师为 Hongbo Fu。后在 CityUHK 与 HKUST 担任 RGC Postdoctoral Fellow。
Chufeng Xiao校友 · PhD student (CityUHK) · 2019-2024导师：Hongbo FU Google Scholar · GitHub · ORCID · LinkedIn · OpenAlex OpenAlex 近三年 5 引用 374 h-index 7 GitHub 关注 21 Stars 145	2019 South China University of Technology BEng 2024 City University of Hong Kong PhD	统一多模态生成、可控 AIGC、草图驱动图像与三维内容创作 Huawei, Artificial Intelligence Laboratory (Leibniz) · Senior Researcher2025-02– Senior Researcher, Artificial Intelligence Laboratory (Leibniz), Huawei，2025-02 起本科导师为 Shengfeng He，博士导师为 Hongbo Fu；2024-06 起在 HKUST 与 Wenhan Luo、Yike Guo 开展博士后研究。
Xuanyu Wang校友 · PhD student (CityUHK) · 2020-2024导师：Hongbo FU 简历 · Google Scholar · LinkedIn · GitHub · DBLP · ORCID · OpenAlex DBLP 近三年 5 OpenAlex 近三年 4 引用 199 h-index 5 GitHub 关注 0 Stars 0	2018 Xi’an Jiaotong University BEng in Computer Science and Technology 2024 City University of Hong Kong PhD Xi’an Jiaotong University PhD	AR/VR 远程呈现、远程会议与协同交互 Assistant Professor, School of Mechanical Engineering and XJTU-POLIMI Joint School, Xi’an Jiaotong University 共同导师为 Weizhan Zhang from XJTU 取得 CityU 与 XJTU 两个博士学位；导师 Hongbo Fu、Weizhan Zhang，外部共同导师 Christian Sandor。曾在 CityU Kening Zhu 的 MEI Lab 做博士后。
Deng Yu校友 · PhD student (CityUHK) · 2018-2023导师：Hongbo FU Google Scholar · GitHub GitHub 关注 7 Stars 15	China U of Petroleum MSc	Sketch-based Shape and Structure Analysis in Design and Fabrication Assistant Professor, Shandong University CityU 博士及博士后研究，与 Hongbo Fu、Miu-Ling Lam、Manfred Lau 合作；曾在浙江大学、中国科学院访问。
Taizhou Chen校友 · PhD student (CityUHK) · 2018-2022导师：Hongbo FU 简历 · Google Scholar · GitHub GitHub 关注 6 Stars 16	—	Deep Learning Based Gesture Sensing Techniques for Wearable Devices Lecturer / Assistant Professor, Shantou University Main Supervisor: Dr. Kening Zhu CityU 博士导师为 Kening Zhu、Hongbo Fu。
Wanchao Su校友 · PhD student (CityUHK) · 2016-21导师：Hongbo FU 简历 · Google Scholar · DBLP · GitHub DBLP 近三年 16 GitHub 关注 12 Stars 91	Dalian University of Technology Bachelor in Information Management and Systems 2021 City University of Hong Kong PhD	计算机图形学、人机交互、深度生成模型与创意实践 Research Fellow, SensiLab, Monash University 博士导师为 Hongbo Fu；后在 CityU 与 Jing Liao 开展博士后研究。
Yilan Chen校友 · PhD student (CityUHK) · 2014-21导师：Hongbo FU	SCUT BE	Sketching Interfaces with Structure and Context Cues an Algorithm Engineer, ASML-Brion, China
Pui Chung Wong校友 · PhD student (CityUHK) · 2015-20导师：Hongbo FU	CityUHK Bachelor	Eyes-Free Interaction on Wearables beyond Touch Screen co-supervised by Dr. Kening Zhu
Bin Chen校友 · PhD student (CityUHK) · 2015-19导师：Hongbo FU Google Scholar · ORCID · DBLP · OpenAlex DBLP 近三年 10	—	Lecturer, University of Melbourne Main Supervisor: Dr. Miu-Ling Lam CityU 博士导师为 Miu-Ling Lam、Hongbo Fu；曾在 Max Planck Institute 与 Karol Myszkowski 开展博士后研究，在 Cambridge 与 Rafal Mantiuk 访问合作。
Kin Chung Kwan校友 · Post-doc (CityUHK) · 2017-20导师：Hongbo FU Google Scholar · LinkedIn · ORCID · OpenAlex OpenAlex 近三年 0 引用 233 h-index 7	2009 The Chinese University of Hong Kong BSc 2015 The Chinese University of Hong Kong PhD	Assistant Professor, California State University, Sacramento，2023 起博士导师 Tien-Tsin Wong；2017–2020 年在 CityU 与 Hongbo Fu 开展博士后研究。
Xin Yang校友 · Post-doc under Hong Kong Scholars Scheme (香江學者) · 2017-19导师：Hongbo FU	Jilin University Bachelor	a Professor at Dalian University of Technology, China
Bin Bao校友 · MPhil (CityUHK) · 2010-2017导师：Hongbo FU	CityUHK MPhil	Flexible Vectorization and Colorization Tools for Line Drawings a Lecturer at Shangdong Women's University, China
Quoc Huy Phan校友 · PhD student (CityUHK) · 2012-2016导师：Hongbo FU	—	Data-driven Methods for Capturing and Replicating Artistic Styles in Graphical Design a Postdoc at University of Bath, UK co-supervised by Dr. Antoni Chan, now a Postdoc at University of Bath, UK
Andy Li校友 · PhD student (CityUHK) · 2010-2015导师：Hongbo FU	CityUHK Bachelor	Accuracy, Accessibility and Extensibility in Mobile Device Interaction a Senior Researcher at Beeinventor, Hong Kong
Shizhe Zhou校友 · Visiting PhD student / Research Fellow · 2010–2011；2017–2018导师：Hongbo FU GitHub GitHub 关注 4 Stars 0	2011 Zhejiang University PhD in Applied Mathematics	an Associate Professor at Hunan University, China 2012 年 INRIA 博士后，2012–2015 年任职 USTC。
Dong Du校友 · Visiting PhD student from University of Science and Technology of China · 2017-18导师：Hongbo FU 简历 · X · GitHub · Google Scholar · ORCID · OpenAlex GitHub 关注 21 Stars 10	2014 Nanjing University of Science and Technology BSc 2021 University of Science and Technology of China PhD	Associate Professor, Nanjing University of Science and Technology 博士导师为 Ligang Liu、Xiaoguang Han；2017–2018 年在 Hongbo Fu 组访问。
Wenlong Meng校友 · Visiting Master student from Ningbo University · 2017-18导师：Hongbo FU	—	an Assistant Professor at Harbin Institute of Technology
Pengfei Xu校友 · Phd student (HKUST) · 2011-2015导师：Hongbo FU Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 23 OpenAlex 近三年 26 引用 370 h-index 10	2009 Zhejiang University BSc in Mathematics 2012 The Hong Kong University of Science and Technology MPhil in CSE 2015 The Hong Kong University of Science and Technology PhD in CSE	自动或交互式视觉内容创作、计算机图形学与人机交互 Tsinghua University · Research Intern2009-09–2010-01 Associate Professor, Shenzhen University，2023-08 起 co-supervised by Prof. Chiew-Lan Tai 博士导师为 Chiew-Lan Tai、Hongbo Fu；2015-02 至 2016-02 在 HKUST 任博士后。
Zhe Huang校友 · Postdoc (CityUHK) · 2015-2016导师：Hongbo FU	—	Senior Algorithm Researcher, INTELLIFUSION
Yongwei Nie校友 · Visiting PhD student from Wuhan University · 2014导师：Hongbo FU	—	an Associate Professor at South China University of Technology, China
Changqing Zou校友 · Visiting PhD student from Chinese Academy of Sciences · 2013-2014导师：Hongbo FU	—	a ZJU100 Young Professor at Zhejiang University
Jiyuan Zhang校友 · Visiting PhD student from Peking University · 2013-2014导师：Hongbo FU	—
Xiaoguang Han校友 · Research Associate (CityUHK) · 2011-2013导师：Hongbo FU DBLP · ORCID · OpenAlex DBLP 近三年 115 OpenAlex 近三年 1 引用 0 h-index 0	—	an Assistant Professor at Chinese University of Hong Kong (Shenzhen
Hanlin Zheng校友 · Visting PhD student from Zhejiang University · 2011-2012导师：Hongbo FU	—
Jia Chen校友 · Senior Research Associate · 2010导师：Hongbo FU	—	Head of Data Science, Integrity and Core Experience at Grab, Singapore
Qingnan (James) Zhou校友 · Visiting PhD student from New York University · 2010导师：Hongbo FU	—	a Research Engieer at Adobe Research
Ziwei ChiPhD Student导师：Hongbo FUAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）
Longji HuangPhD Student导师：Hongbo FUAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Hengyu MengPhD Student导师：Hongbo FUAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）
Hanxiao SunPhD Student导师：Hongbo FUAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Bo YangPhD Student导师：Hongbo FUAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Jieliang YinPhD Student导师：Hongbo FUIIP	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Haslett, DavidResearch Assistant Professor导师：Janet Hui-wen HSIAO	The Chinese University of Hong Kong PhD	词义表征、大语言模型的分词与解释
Zheng, MercuryResearch Assistant Professor导师：Janet Hui-wen HSIAO	University of Hong Kong PhD in Cognitive Psychology	视觉认知、眼动、EEG、人本和可解释 AI 博士导师 Janet Hsiao。
He, Dongcheng AlexPostdoctoral Researcher导师：Janet Hui-wen HSIAO	—
Zhao, ChenyangPostdoctoral Researcher导师：Janet Hui-wen HSIAO	—
Teng, XiaoruPhD Student导师：Janet Hui-wen HSIAO	University of Hong Kong Bachelor of Social Sciences, Psychology and Chinese Language and Literature	协作学习、走神与共同注意
Qi, Ruoxi JenniferPhD Student导师：Janet Hui-wen HSIAO	University of Hong Kong Bachelor of Social Sciences, Psychology	AI 行为、人类对 AI 的理解、心理语言学
Yang, Yumeng AlicePhD Student & Lab Manager导师：Janet Hui-wen HSIAOSocial Science	University of California, Los Angeles Bachelor's in Psychology The Hong Kong University of Science and Technology PhD（在读）	物体检测中的眼动模式、视觉搜索和认知障碍
Zhang, JinhanPhD Student导师：Janet Hui-wen HSIAOIIP	Johns Hopkins University Bachelor's in Computer Science and Neuroscience The Hong Kong University of Science and Technology PhD（在读）	认知科学、AI 模型机制、人本解释与概念学习
Lam, Sze Man校友 · Former MPhil Student & Research Assistant · 2009-2012导师：Janet Hui-wen HSIAO	—
Wong, Yetta校友 · Former Postdoc · 2010-2012导师：Janet Hui-wen HSIAO	—
Cheung, Kloser校友 · Former Research Assistant · 2009-2011导师：Janet Hui-wen HSIAO	—
Cheung, Kit校友 · Former Research Assistant · 2010-2011导师：Janet Hui-wen HSIAO	—
Schmitz, Remy校友 · Former Postdoc · 2012-2013导师：Janet Hui-wen HSIAO	—
Chen, Jing校友 · Former MPhil Student · 2012-2014导师：Janet Hui-wen HSIAO	—
Galmar, Bruno校友 · Former Postdoc · 2012-2015导师：Janet Hui-wen HSIAO	—
Liu, Tianyin校友 · Former PhD student · 2011-2015导师：Janet Hui-wen HSIAO	—
Chung, Harry校友 · Former MPhil student · 2013-2015导师：Janet Hui-wen HSIAO	—
Tso, Richie校友 · Former MPhil & PhD student · 2010-2016导师：Janet Hui-wen HSIAO	—
Chuk, Tim校友 · Former PhD student · 2012-2016导师：Janet Hui-wen HSIAO	—
Cheung, Tommy校友 · Former MPhil student · 2014-2016导师：Janet Hui-wen HSIAO	—
Yeung, Andrew校友 · Former Full-time RA · 2015-2016导师：Janet Hui-wen HSIAO	—
Zhang, Tep校友 · Former MPhil · 2015-2017导师：Janet Hui-wen HSIAO	—
Chan, Cynthia校友 · Former PhD Student · 2014-2019导师：Janet Hui-wen HSIAO	—
Li, Sara校友 · Former PhD Student · 2014-2017导师：Janet Hui-wen HSIAO	—
Cheng, Cherry校友 · Former PhD Student · 2014-2017导师：Janet Hui-wen HSIAO	—
An, Jeehye校友 · Former Full-time RA · 2019-2020导师：Janet Hui-wen HSIAO	—
Kwok, Jocelyn校友 · Former PhD Student · 2020-2022导师：Janet Hui-wen HSIAO	—
Fung, Herrick校友 · Former MPhil Student · 2022-2023导师：Janet Hui-wen HSIAO	—
Liu, Guoyang校友 · Former Postdoc · 2022-2023导师：Janet Hui-wen HSIAO	—
Anita Liao校友 · Former MPhil and Ph.D. student · 2020-2025导师：Janet Hui-wen HSIAO	—
Leila KhalatbariPhD Student导师：Janet Hui-wen HSIAOIIP	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Yue ZhangPhD Student导师：Janet Hui-wen HSIAOCSE	The Hong Kong University of Science and Technology PhD（在读）
Tim, Yue Him WongVisiting Scholar导师：Sai-Kit YEUNG	—
Yingshu Chen校友 · PhD Student · 毕业于 2024导师：Sai-Kit YEUNGCSE	2024 The Hong Kong University of Science and Technology PhD	Co-advised with Prof. Ajay Joneja
Huajian Huang校友 · PhD Student · 毕业于 2023导师：Sai-Kit YEUNGCSE	2023 The Hong Kong University of Science and Technology PhD	Co-advised with Prof. Qifeng Chen
Jaeyeon Kim校友 · PhD Student · 毕业于 2024导师：Sai-Kit YEUNGCSE	2024 The Hong Kong University of Science and Technology PhD
Ziqiang Zheng校友 · PhD Student · 毕业于 2025导师：Sai-Kit YEUNGCSE	2025 The Hong Kong University of Science and Technology PhD
Tuan Anh Vu校友 · PhD Student · 毕业于 2024导师：Sai-Kit YEUNGCSE	2024 The Hong Kong University of Science and Technology PhD
Truong Quang TrungPhD Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology PhD（在读）
Guo XiaopengPhD Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology PhD（在读）
Shaun XuPhD Student导师：Sai-Kit YEUNG	—	实验室成员页使用的姓名。
Ka Chun ShumPhD Student导师：Sai-Kit YEUNGCSE	The Hong Kong University of Science and Technology PhD（在读）
Ha Tan SangPhD Student · 毕业于 2023导师：Sai-Kit YEUNG	2023 The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD（在读）	2026-10-17 官方 RPG 记录列为 Integrative Systems and Design 在读 PhD，曾于 2023 年取得 Computer Science and Engineering MPhil，均由 Sai-Kit Yeung 指导。
Yiwei ChenPhD Student导师：Sai-Kit YEUNGCSE	The Hong Kong University of Science and Technology PhD（在读）
Zhu YipengPhD Student · 毕业于 2024导师：Sai-Kit YEUNG	2024 The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD（在读）	2026-10-17 官方 RPG 记录列为 Integrative Systems and Design 在读 PhD，曾于 2024 年取得同专业 MPhil，均由 Sai-Kit Yeung 指导。
Guocheng ShaoPhD Student导师：Sai-Kit YEUNGCSE	The Hong Kong University of Science and Technology PhD（在读）
Hanwen ZhangPhD Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology PhD（在读）
Yuk Kwan WongPhD Student · 毕业于 2026导师：Sai-Kit YEUNG	2026 The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD（在读）	2026-10-17 官方 RPG 记录列为 Integrative Systems and Design 在读 PhD，曾于 2026 年取得同专业 MPhil，均由 Sai-Kit Yeung 指导。
Echo ChanMPhil Student导师：Sai-Kit YEUNG	—	实验室成员页使用的姓名。
Wai Chung TseMPhil Student导师：Sai-Kit YEUNGCSE	The Hong Kong University of Science and Technology MPhil（在读）
Seoyoung JeongMPhil Student导师：Sai-Kit YEUNGCSE	The Hong Kong University of Science and Technology MPhil（在读）
Tuan-An ToMPhil Student导师：Sai-Kit YEUNGCSE	The Hong Kong University of Science and Technology MPhil（在读）
Tuong Vy Truong ThuyMPhil Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology MPhil（在读）
Yukai ZhangUndergraduate Student导师：Sai-Kit YEUNG	—
Yuchen LiangUndergraduate Student导师：Sai-Kit YEUNG	—
Ho Kiu Holdee PangUndergraduate Student导师：Sai-Kit YEUNG	—
Carson ChanUndergraduate Student导师：Sai-Kit YEUNG	—
Kam Wai LaiUndergraduate Student导师：Sai-Kit YEUNG	—
RickyUndergraduate Student导师：Sai-Kit YEUNG	—
Luk Wang LokUndergraduate Student导师：Sai-Kit YEUNG	—
Toby LiUndergraduate Student导师：Sai-Kit YEUNG	—
Fuchang Liu校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Principal Lecturer Hangzhou Normal University
Boxin Shi校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Assistant Professor Peking University
Duc Thanh Nguyen校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG Google Scholar	Ho Chi Minh University of Science BSc Asian Institute of Technology MSc University of Wollongong PhD	目标检测、分割、模式识别、机器学习与视频分析 Senior Lecturer, Deakin University
Binh-Son Hua校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG Google Scholar · GitHub GitHub 关注 3 Stars 2	2015 National University of Singapore PhD	真实感图像与三维合成、计算机图形学与视觉 VinAI · Research Scientist2020–2023 Assistant Professor, Trinity College Dublin 博士导师 Kok-Lim Low；曾在 SUTD 与 Sai-Kit Yeung、University of Tokyo 与 Toshiya Hachisuka 开展博士后研究。
Oliver Weeger校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Assistant Professor Technische Universität Darmstadt
Xuequan Lu校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	Zhejiang University PhD	视觉计算与三维空间 AI Associate Professor and ARC Future Fellow, The University of Western Australia 曾在 Nanyang Technological University 任 Research Fellow 两年多。
Shasha Mao校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Associate Professor Xidian University
Junyan Wang校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Postdoctoral scholar Laboratory of Neuro imaging (LONI), USC
Zhe Wu校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Computer Vision Engineer DJI
Guoxuan Zhang校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Astar.ai, Inc
Tien Dung Dinh校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Postdoc research fellow Ghent University
Zhiyuan Zhang校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Assistant Professor of Practice Singapore Management University
Georges Nader校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	R&D Engineer Ubisoft La Forge France
Qianwen Chao校友 · Postdoctoral Researcher导师：Sai-Kit YEUNG	—	Lecturer Xidian University
Tian Feng校友 · PhD Student导师：Sai-Kit YEUNG	—	Associate Professor Zhejiang University
Zhipeng Mo校友 · PhD Student导师：Sai-Kit YEUNG	—	Senior Research Scientist Samsung Research America
Quang-Hieu Pham校友 · PhD Student导师：Sai-Kit YEUNG	2014 Ho Chi Minh University of Science Bachelor 2020 Singapore University of Technology and Design PhD	Lyft Level 5 · Research Intern2020-02 起 Meta Reality Labs · Research Intern2020-08 起 Lyft Level 5 · Software Engineer2021-05 起 Woven by Toyota · Senior Software Engineer Senior Software Engineer, Woven by Toyota 博士导师为 Sai-Kit Yeung、Gemma Roig。
Lap-Fai (Craig) Yu校友 · PhD Student导师：Sai-Kit YEUNG	—	Associate Professor George Mason University Co-advised with Prof. Demetri Terzopoulos (UCLA)
Noah Duncan校友 · PhD Student导师：Sai-Kit YEUNG GitHub GitHub 关注 34 Stars 26	—	Co-founder WorkPatterns Co-advised with Prof. Demetri Terzopoulos (UCLA)
Chi-Fu Lai, William校友 · PhD Student导师：Sai-Kit YEUNG	—	Assistant Professor Hong Kong Metropolitan University Co-advised with Prof. Chi-Wing Fu
Pallavi Mohan校友 · PhD Student导师：Sai-Kit YEUNG	—	Senior Scientist & Solutions Architect NVIDIA Munich Co-advised with Prof. Wooi Boon Goh (NTU)
Nguyen Truong Hai校友 · MPhil Student · 毕业于 2024导师：Sai-Kit YEUNGCSE	University of Science, VNU-HCM BSc in Computer Science 2024 The Hong Kong University of Science and Technology MPhil in CSE Northeastern University PhD（在读）	规划与预判的世界模型、第一与第三人称视频动作理解 VinAI Research · Research Resident2022-03–2022-07 Huawei Hong Kong Research Center · AI Research Engineer2024-11–2025-04 Fulbright AI Institute, Fulbright University Vietnam · Research Assistant in Computer Vision（Google-funded）2025-08–2026-08 PhD Student, FarSight Lab, Northeastern University HKUST MPhil 导师为 Sai-Kit Yeung；Northeastern 博士导师为 Lorenzo Torresani
Liang Haixin校友 · MPhil Student · 毕业于 2024导师：Sai-Kit YEUNGISD	2024 The Hong Kong University of Science and Technology MPhil
Van Nhan Tran校友 · MPhil Student · 毕业于 2023导师：Sai-Kit YEUNGISD	2023 The Hong Kong University of Science and Technology MPhil	Associate R&D Engineer Think N Kreate Ltd.
Hong Wing Pang校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Computer Vision Engineer Ficha Inc
Mashiat Lamisa校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Product Engineer Sparkmate Hong Kong HKUST President's Cup 2021
Mikaela Angelina Uy校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG 简历 · LinkedIn · GitHub · Google Scholar · X GitHub 关注 129 Stars 728	National University of Singapore Master Stanford University PhD The Hong Kong University of Science and Technology Undergraduate	三维视觉、几何处理、图形学、机器人与空间智能 NVIDIA, Learning and Perception Research · Research Scientist Google, Project Starline · Research Intern博士期间 Adobe Research · Research Intern博士期间 Autodesk AI Lab · Research Intern博士期间 Research Scientist, Learning and Perception Research, NVIDIA Stanford 博士导师 Leonidas Guibas。
Xue Li校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Software Engineer Facebook
Benjamin Kang Yue Sheng校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Programmer New Future Holdings
Rufus Wong校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Senior Software Engineer HOPE Technik
Samuel Chin校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Graduate Student MIT
Daniel Teo Guangwei校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Founder in Residence Antler
Yu Han Quek校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Erik Khanh Nguyen校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Senior Software Engineer Endowus
Sng Han Jie校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Associate Software Engineer GovTech
Charmaine Wee校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Developer Engineer A*STAR - Agency for Science, Technology and Research
Tat Lin Lee校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Consultant McKinsey & Company
JiaWang Bian校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG GitHub · Google Scholar · ORCID · Semantic Scholar GitHub 关注 374 Stars 2,464	2016 Nankai University BEng 2022 University of Adelaide PhD	空间智能、三维与四维重建、生成式 AI、世界模型 ByteDance Seed · Research Scientist Nanyang Assistant Professor, Nanyang Technological University 本科导师为 Ming-Ming Cheng；博士导师为 Ian Reid、Chunhua Shen；曾在 Oxford、MBZUAI 开展博士后研究。
Zheng Hui Er校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Senior System Analyst GSafety Technology Pte. Ltd
Lin Chen-Hsin校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Andy Luong校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	Founder Slimcase.co
Kimberly Villalobos Carballo校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—	PhD Student MIT
Lutong (Tracy) Cheng校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Wang Fan校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Sida Yao校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Gao Xing校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Hanyao Chen校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Willam Koh校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Lingyue Ma校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Xiao Yong校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Yile Wang校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Yifan Zhou校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Yunfeng Li校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Ziwei Chen校友 · Master / Undergraduate Student导师：Sai-Kit YEUNG	—
Dengyang JiangPhD Student导师：Sai-Kit YEUNGAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Zhen Qiang WuPhD Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology PhD（在读）
Jiahao LuPhD Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Yinzhe XuPhD Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology PhD（在读）
Xuan Tung NguyenMPhil Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology MPhil（在读）
Markus RummelMPhil Student导师：Sai-Kit YEUNGMarine Environmental Science	The Hong Kong University of Science and Technology MPhil（在读）	共同指导
Jiayi XuMPhil Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology MPhil（在读）	共同指导
Shi Long YangMPhil Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology MPhil（在读）
Ho ChanMPhil Student导师：Sai-Kit YEUNGISD	The Hong Kong University of Science and Technology MPhil（在读）
Yingqing He校友 · PhD Student · 毕业于 2025导师：Sai-Kit YEUNGIndividualized Interdisciplinary Program (Robotics and Autonomous Systems)	2025 The Hong Kong University of Science and Technology PhD	共同指导
Kirill ShatilovPostdoc导师：Tristan C. BRAUD GitHub GitHub 关注 7 Stars 5	2026 HKUST PhD
Siyan HuPhD导师：Tristan C. BRAUD	—
Xiaozhu HuPhD导师：Tristan C. BRAUD	Beijing University of Posts and Telecommunications 本科, Industrial Design 2022 Tsinghua University 硕士, CS · 导师 Chun Yu	GUI 可用性与无障碍、普适感知、老年照护机器人 Tsinghua Future Lab · Research intern2018、2019 Summer 与 Mingming Fan 共同指导
Zhen WuPhD导师：Tristan C. BRAUD Google Scholar · GitHub GitHub 关注 2 Stars 1	—	交互叙事、材料交互、声音交互；Orchid 创作工具
Yukun ZhaoPhD导师：Tristan C. BRAUD	—
Yuchao ZhuoPhD导师：Tristan C. BRAUD	—
King Fung Leo LeeMPhil导师：Tristan C. BRAUD	—
Cho Kiu Anya LeungMPhil导师：Tristan C. BRAUD	—
Sum Yi Christine MaMPhil导师：Tristan C. BRAUD	—
Ahmad Alhilal校友 · Postdoc · 2024导师：Tristan C. BRAUD GitHub GitHub 关注 7 Stars 32	—	自适应实时流、云渲染 XR、可扩展视觉计算 2024-12 起 Aalto University 博士后
Turzo Bose校友 · MPhil · 2022–2026导师：Tristan C. BRAUD	—
Huajian Huang校友 · Postdoc · 2024–2026导师：Tristan C. BRAUD GitHub GitHub 关注 74 Stars 951	Sun Yat-Sen University BEng 2023 HKUST PhD, Computer Science · 导师 Sai-Kit Yeung	全景感知、视觉定位、建图、SLAM、3D vision
Serkan Kumyol校友 · MPhil · 2023–2026导师：Tristan C. BRAUD	—
Changkun Liu校友 · PhD · 2021–2026导师：Tristan C. BRAUD LinkedIn · GitHub · Google Scholar GitHub 关注 17 Stars 142	2017–2021 Shanghai Jiao Tong University BEng, Electronic Science and Technology 2021–2026 HKUST PhD, CSE	视觉定位、3D 重建、AR/VR Intel Asia-Pacific R&D · 研发经历2020-06–2021-05 Ant Research · Research Intern2025-01–2025-06 Google · Student Researcher2026-01–2026-04 2024-04–08 访问 University of Oxford Active Vision Laboratory
Vi Jun Sean Yong校友 · MPhil · 2022–2025导师：Tristan C. BRAUD	—
Xuetong WangPhD导师：Tristan C. BRAUD	—	共同指导；Individualized Interdisciplinary Program
Simin YangPhD导师：Tristan C. BRAUD	—	共同指导；Individualized Interdisciplinary Program
Junjie ZhangPhD导师：Tristan C. BRAUD	—	共同指导；Individualized Interdisciplinary Program
Lin Chen校友 · PhD · 2025导师：Tristan C. BRAUD	—	共同指导；Computer Science and Engineering
Ehsan-ul Haq校友 · PhD · 2023导师：Tristan C. BRAUD	—	共同指导；Computer Science and Engineering
Kit Yung Lam校友 · PhD · 2023导师：Tristan C. BRAUD	—	共同指导；Individualized Interdisciplinary Program
Chun Ho Park校友 · MPhil · 2023导师：Tristan C. BRAUD	—	共同指导；Computer Science and Engineering
Sergei Sorokin校友 · MPhil · 2023导师：Tristan C. BRAUD	—	共同指导；Computer Science and Engineering
Anish Krishna Vallapuram校友 · MPhil · 2023导师：Tristan C. BRAUD	—	共同指导；Computer Science and Engineering
Bin PuPostdoc导师：Xiaomeng LI	2022 Hunan University PhD, Computer Science	医学图像、计算机视觉、超声成像 2021–2022 访问 NTU AI.R Lab 与 CBCR Lab
Hui TangPostdoc · 2023-09–导师：Xiaomeng LI X · GitHub · Google Scholar · ORCID · OpenAlex GitHub 关注 54 Stars 55	2014–2018 South China University of Technology BE, Information Engineering 2018–2023 South China University of Technology PhD, Information and Communication Engineering · 导师 Kui Jia	少样本学习、域适应、多模态融合、模型解释、医学影像 DexForce Technology · Research Intern2022-02–2022-05
Meng LanPostdoc导师：Xiaomeng LI	—
Zhuangzhuang ChenPostdoc · 2024–导师：Xiaomeng LI	2020– Shenzhen University 博士研究, Computer Science and Software Engineering	模型校准、异常检测、主动学习、裂缝识别与分割
Xinpeng Ding校友 · PhD / Postdoc · 2021-09–2026-01导师：Xiaomeng LI Google Scholar · GitHub GitHub 关注 0 Stars 0	2014–2018 Xidian University BE, Software Engineering 2018–2021 Xidian University ME, Information and Communication Engineering · 导师 Xinbo Gao；Nannan Wang 2021–2025 HKUST PhD, ECE · 导师 Xiaomeng Li	具身 AI、视频理解、多模态大模型、医学图像 Alibaba DAMO Academy · Research Intern2020-07–2021-07 Huawei Noah’s Ark Lab · Research Intern2024-05–2025-05 2026-02 起西安电子科技大学杭州研究院 Professor 2025-08–2026-01 为 HKUST 博士后
Ningshu LiPhD · 2024 Fall–导师：Xiaomeng LI	—
Shanshan SongPhD · 2024 Fall–导师：Xiaomeng LI	—
Honglong YangPhD · 2024 Fall–导师：Xiaomeng LI	—
Jixiang ChenPhD · 2023 Fall–导师：Xiaomeng LI	—
Marawan ElbatelPhD · 2023 Fall–导师：Xiaomeng LI CV · Google Scholar · GitHub · LinkedIn GitHub 关注 65 Stars 75	2021 Cairo University BSc, Computer Engineering 2023 University of Girona；University of Cassino；University of Burgundy Erasmus Mundus Master, Medical Imaging · 导师 Robert Martí 2023-09– The Hong Kong University of Science and Technology PhD, Computer Engineering（在读） · 导师 Xiaomeng Li	临床多模态智能体、医学影像、数据高效学习、联邦学习与跨机构验证 University of Bradford, AIRe Lab · Research Intern2020-09–2021-02导师 Daniel Neagu；COVID-19 数据研究。 Dell Technologies · BSc Researcher2021-03–2021-07产业资助的本科毕业论文，研究可扩展视频监控与接触追踪。 HKPFS；2025 年任 MICCAI SIG AFRICAI 副主席
Jiarong GuoPhD · 2023 Fall–导师：Xiaomeng LI	—
Yi QinPhD · 2023 Fall–导师：Xiaomeng LI Google Scholar · X · LinkedIn	South China University of Technology BEng, Automation	心脏医学影像、多模态学习、生成模型与可信医疗 AI
Haonan WangPhD · 2023 Fall–导师：Xiaomeng LI	—
Lehan WangPhD · 2023 Fall–导师：Xiaomeng LI	—
Chuang ZhaoPhD · 2024-12–导师：Xiaomeng LI GitHub · Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 29 OpenAlex 近三年 38 引用 370 h-index 8 GitHub 关注 70 Stars 33	—	AI for Science、agentic modeling、information retrieval；healthcare、generative recommendation、LLM reasoning、RAG NetEase · Research Intern2020-12–2022-05 Lenovo AI Lab · Research Intern2022-05–2023-08 Xiaomeng Li 指导，Xiaofang Zhou 共同指导
Qixiang ZhangPhD · 2023 Fall–导师：Xiaomeng LI	—
Yao DuPhD · 2022 Fall–导师：Xiaomeng LI	—
Zheang HuaiPhD · 2022 Fall–导师：Xiaomeng LI	—
Tianqi XiangPhD · 2022 Fall–导师：Xiaomeng LI	—
Bodong DuPhD导师：Xiaomeng LI	—	曾在本组访问；现列官方在读博士
Xuanqi HuangPhD导师：Xiaomeng LI	—	曾在本组访问；现列官方在读博士
Chenchang HuPhD导师：Xiaomeng LI	—	曾在本组访问；现列官方在读博士
Kabir MuhammadVisiting student · 2025-02–导师：Xiaomeng LI	—
Lingfeng HePhD导师：Xiaomeng LI	—
Yiming HuangPhD导师：Xiaomeng LI	—
Jingyu LuPhD导师：Xiaomeng LI	—
Chi WenPhD导师：Xiaomeng LI	—
Zhipeng XuPhD导师：Xiaomeng LI	—
Siqi WangPhD导师：Xiaomeng LI	—
Yuchen WangPhD导师：Xiaomeng LI	—
Xinrui ZhouPhD导师：Xiaomeng LI	—
Sungjun ChoMPhil导师：Xiaomeng LI	—
Bowen LiuMPhil导师：Xiaomeng LI	—
Yi Li校友 · PhD · 2022–2026导师：Xiaomeng LI	—
Hualiang Wang校友 · PhD · 2022–2026导师：Xiaomeng LI LinkedIn · GitHub · Google Scholar · Semantic Scholar S2 近三年 4 引用 692 h-index 12 GitHub 关注 14 Stars 19	2022 Zhejiang University MSc · 导师 Haoji Hu；Zuozhu Liu 2026 HKUST PhD · 导师 Xiaomeng Li	计算机视觉与医学影像 SenseTime · Research Intern2020-12 Alibaba DAMO Academy · Research Intern2021-05
Xinyue Xu校友 · PhD · 2022–2026导师：Xiaomeng LI Google Scholar · LinkedIn · GitHub GitHub 关注 10 Stars 1	Australian National University Bachelor of Advanced Computing, Honours · 导师 Amanda Barnard；Amanda Parker 2026-07 HKUST PhD · 导师 Xiaomeng Li	模型鲁棒性、可解释性、AI safety Pivotal Research · AI Safety Fellow2026 CUHK 博士后，合作导师 Weiyang Liu、Pheng-Ann Heng；Pivotal AI Safety Fellow HKPFS；曾访问 Cambridge，导师 Adrian Weller、Weiyang Liu
Jiewen Yang校友 · PhD · 2022–2026导师：Xiaomeng LI	—
Yiqun Lin校友 · PhD · 2025导师：Xiaomeng LI	—	University College London 博士后
Huimin Wu校友 · PhD · 2024导师：Xiaomeng LI	—	Beijing Institute for General Artificial Intelligence 共同指导
Weihang Dai校友 · PhD · 2023导师：Xiaomeng LI	—	Biotech startup 共同指导
Benteng Ma校友 · RA导师：Xiaomeng LI	—	The Hong Kong Polytechnic University 博士后
Ce Wang校友 · Postdoc导师：Xiaomeng LI	—	Sun Yat-Sen University Assistant Professor
Qiang Zhai校友 · Postdoc导师：Xiaomeng LI	—	Sichuan Agricultural University Associate Professor
Qinmin Zheng校友 · Postdoc导师：Xiaomeng LI	—	Beihang University Associate Professor
Sucheng Ren校友 · RA · 2022 Summer导师：Xiaomeng LI 简历 · Google Scholar · GitHub GitHub 关注 123 Stars 1,430	South China University of Technology BSc South China University of Technology MSc · 导师 Shengfeng He 2023– Johns Hopkins University PhD, CS · 导师 Alan Yuille；Cihang Xie	计算机视觉、视觉语言模型、视频理解 Apple · Research Intern ByteDance Seed · Research Intern Microsoft Research Asia · Research Intern Johns Hopkins University PhD
Jingwen Yang校友 · UROP · 2021–2022导师：Xiaomeng LI	HKUST BEng, CS	UCLA Master
Yiduo Yu校友 · FYP · 2021–2022导师：Xiaomeng LI 简历 · GitHub · LinkedIn GitHub 关注 5 Stars 1	2018–2022 HKUST BSc, CS；Minor in Business 2022–2024 Carnegie Mellon University Master of Computational Data Science	Carnegie Mellon University Master
Yiwen Zou校友 · FYP · 2021–2022导师：Xiaomeng LI	HKUST BEng, CS	UC San Diego Master
Xiaoxiao Liang校友 · MSc · 2021导师：Xiaomeng LI	—	HKUST (Guangzhou) PhD
Huifeng Yao校友 · MPhil · 2024导师：Xiaomeng LI	—
Hanwei Fan校友 · MPhil · 2023导师：Xiaomeng LI	—	共同指导
Wei LiPhD · 2024 Spring–导师：Zili MENG Google Scholar · GitHub GitHub 关注 0 Stars 0	Hangzhou Dianzi University BEng, CS Tsinghua University MEng, CS · 导师 Fengyuan Ren	实时通信、网络系统、动态二进制翻译
Jiayang XuPhD · 2024 Fall–导师：Zili MENG	Peking University BSc, CS
Yibin ShenPhD · 2024 Fall–导师：Zili MENG GitHub GitHub 关注 2 Stars 0	2020–2024 Southeast University BEng, CS	无线网络、视频流传输、AI 系统 Huawei, Data Communication · Information engineer intern2023-06–2023-09
Hua MengPhD · 2024 Fall–导师：Zili MENG Google Scholar · LinkedIn · GitHub GitHub 关注 2 Stars 2	Nanjing University BSc, CS 2021 HKUST MSc, Big Data Technology	实时通信、VR 通信、网络架构 Kuaishou · 视频与音频编辑工程2021–2024 Google · 网络与数据中心实习 Microsoft · 网络与数据中心实习 2025 Huawei PhD Fellowship
Xiangjie HuangPhD · 2025 Fall–导师：Zili MENG	Communication University of China BEng, CS Central South University MEng, CS
Bochun ZhangPhD · 2025 Fall–导师：Zili MENG	Beijing University of Posts and Telecommunications BEng, CS Tsinghua University MEng, CS
Man Hin YeungMPhil · 2026 Spring–导师：Zili MENG	HKUST BEng, Electronic Engineering
Zijie LiRA · 2025-11–导师：Zili MENG	—
Pengwen Qi校友 · 本科研究 · 2025–2026导师：Zili MENG	—
Hyun Hu Park校友 · 本科研究 · 2023–2025导师：Zili MENG	—
Eric Mok Ka Chun校友 · 本科研究 · 2024–2025导师：Zili MENG	—
Michael Wang Shao-Fu校友 · 本科研究 · 2024–2025导师：Zili MENG	—
Marco Tam校友 · 本科研究 · 2023–2024导师：Zili MENG	—
Miranda Drummond校友 · 本科研究 · 2024–2025导师：Zili MENG	—
Jinyi Zhuang校友 · 本科研究 · 2023–2024导师：Zili MENG	—
Martin Lee校友 · 本科研究 · 2023–2024导师：Zili MENG	—
Yasna Noushirvani校友 · Visitor · 2025-07–2025-09导师：Zili MENG	Sharif University of Technology 学生
Maxime Bruno校友 · Visitor · 2025-02–2025-07导师：Zili MENG	École Normale Supérieure de Lyon 学生
Zhewen Yang校友 · RA · 2024-05–2024-12导师：Zili MENG GitHub GitHub 关注 13 Stars 0	2017–2021 Xi’an Jiaotong University BEng, CS 2023–2024 Johns Hopkins University MEng, CS 2025– Northeastern University PhD, Computer Engineering	网络系统、测量、数据中心 ByteDance Virtual Network Group · PhD Research Intern2026-01–2026-08 Northeastern University PhD
Runze LiuPhD · 2026 Fall–导师：Ling PAN	Tsinghua University MEng, EE	HKPFS
Jiale DingPhD · 2026 Fall–导师：Ling PAN	Fudan University BEng, AI	HKPFS
Wenrui ZhouPhD · 2026 Fall–导师：Ling PAN	Beijing Institute of Technology BEng, CS	HKPFS
Yuxiao YePhD · 2025 Fall–导师：Ling PAN	Beijing Institute of Technology MEng, CS
Ziqi WangPhD · 2025 Fall–导师：Ling PAN	Southern University of Science and Technology MEng, EE
Jiashun LiuPhD · 2025 Fall–导师：Ling PAN	Tianjin University MEng, CS
Haoran HePhD · 2024 Spring–导师：Ling PAN	Shanghai Jiao Tong University BEng, CS
Yuanhang LiPhD · 2022 Fall–导师：Ling PAN	—	共同指导
Chunhui LiMPhil · 2024 Fall–导师：Ling PAN	—
Zihao WuVisiting student导师：Ling PAN	Tianjin University 硕士在读
Baoshun TongVisiting student导师：Ling PAN	Sun Yat-Sen University 博士在读
Taeyoung Yun校友 · Visiting student · 2024-09–2025-03导师：Ling PAN 简历 · LinkedIn · GitHub · Google Scholar GitHub 关注 25 Stars 98	2018–2022 KAIST BSc, ISE and CS 2022–2024 KAIST MSc, AI 2024– KAIST PhD, Industrial and Systems Engineering · 导师 Jinkyoo Park	生成模型的潜空间采样、离策略强化学习、多智能体决策 Kakao Recommendation Team · Intern2021-03–2021-08 Mila · Research Intern, Yoshua Bengio2025-06–2025-11 KAIST PhD
Yili Jin校友 · Visiting student · 2024-02–2024-08导师：Ling PAN GitHub · DBLP · ORCID DBLP 近三年 30 GitHub 关注 0 Stars 0	2017–2021 Sun Yat-Sen University BEng 2021–2023 CUHK Shenzhen MPhil · 导师 Fangxin Wang 2023–2026 McGill University PhD · 导师 Xue Liu	Spatial intelligence、Embodied AI、World Models Huawei 2012 Labs · Software Development Intern2020-10–2021-05 Microsoft Research Asia · Research Intern2022-06–2023-02 Microsoft Research Asia · Research Intern2025-08–2025-11 2026-06 起 SFU 博士后；2026-05 创办 MirrorSpace Technology
Mingkai TangPhD导师：Ling PAN	—	Computer Science and Engineering
Xianghao KongPhD导师：Anyi RAO	Beihang University	HKPFS；Tencent Project UP Scholarship
Tianyi Tony ZhangPhD · 2025-09–导师：Anyi RAO	2024-07 Nanyang Technological University Master	电影修复、AI 影视与视效 Hong Kong Design Institute · Assistant Lecturer2024-08– RESTITUO · AI 4K 影视修复创业项目2025-03– HKUST AI Film Festival 联合发起人，2026 General Chair
Songlin YangPhD导师：Anyi RAO LinkedIn · GitHub · Google Scholar GitHub 关注 19 Stars 145	Nanjing University of Aeronautics and Astronautics BEng CASIA, NLPR MSc · 导师 Wei Wang；Jing Dong	统一多模态模型、可控视频生成 Tencent Video AI Center · Student Researcher SenseTime · Research Intern Microsoft Research Asia · Research Intern Anyi Rao、Hongbo Fu 指导；2026 Tencent Project UP Scholarship
Songchun ZhangPhD导师：Anyi RAO	Zhejiang University
Zeyu ZhangPhD导师：Anyi RAO	The University of Hong Kong
Yiyang LuoPhD导师：Anyi RAO	Nanyang Technological University
Yihang JiangPhD导师：Anyi RAO	HKUST
Zhe WangPhD导师：Anyi RAO	ShanghaiTech University
Longji HuangPhD导师：Anyi RAO	University of Toronto	HKPFS
Mingchen LiPhD导师：Anyi RAO	HKUST (Guangzhou)
Yinhan ZhangPhD导师：Anyi RAO GitHub GitHub 关注 14 Stars 173	2024 Taiyuan University of Technology BEng, Data Science and Big Data Technology HKUST (Guangzhou) MPhil, AI	世界模型、实时交互视频生成、图像与视频生成 JD Retail · MLLM Algorithm Intern2023-11–2024-04商品匹配、难负例挖掘、属性对齐。 Baidu Financial Services · NLP Algorithm Intern2023-07–2023-11意图识别与金融客服模型。 TeleAI, China Telecom AI Research Institute · Video Generation Research Intern2024-11–2025-11可控人物动作生成、VAST 1.0 基础模型与视频数据管线。 Tencent Hunyuan · Research Intern2024-05–2024-07文图对齐、查询重写、多轮对话图像生成与模型路由。 Pyoh Technology · 编程教育硬件创业项目2024– Tencent Games · Research Intern2026-01–游戏世界模型。
Houyuan ChenPhD导师：Anyi RAO	Nanjing University
Xuyi YangPhD导师：Anyi RAO	Wuhan University
Zeqian ZhangPhD导师：Anyi RAO	City University of Hong Kong
Pei YangPhD导师：Anyi RAO	Wuhan University
Shiqin HouPhD导师：Anyi RAO	The Central Academy of Drama	影视制作与 AIGC 叙事参与 30 余部电影制作；AAAI 2026 Creative Video Gold Award
Jiayi ZhouMPhil导师：Anyi RAO Google Scholar · LinkedIn · GitHub GitHub 关注 7 Stars 0	Zhejiang University	Huamin Qu 与 Anyi Rao 共同指导
Zhuoran ZhaoVisiting PhD导师：Anyi RAO LinkedIn · Google Scholar · GitHub · DBLP · ORCID · OpenAlex DBLP 近三年 11 OpenAlex 近三年 1 引用 23 h-index 2 GitHub 关注 0 Stars 0	South China University of Technology BEng National University of Singapore MSc HKUST (Guangzhou) PhD 在读 · 导师 Pan Hui；Anyi Rao	Tencent LightSpeed · Research Intern2026-03– 访问 MMLab@HKUST
Liufang ChenArtist导师：Anyi RAO	Peking University	AI 影视创作北京国际电影节与威尼斯 AI 电影奖项
Jiayan ChenArtist导师：Anyi RAO	The Central Academy of Drama	数字艺术与影视 Asian Digital Art Exhibitions 2026
Ivy Mengyao ZhangArtist导师：Anyi RAO 简历	2021–2025 Savannah College of Art and Design BFA, Painting 2025– HKUST MA, Arts and Machine Creativity	AI 与绘画、跨媒介艺术 SCAD summa cum laude
Yudi XieRA导师：Anyi RAO	Wuhan University
Siyu HuangRA导师：Anyi RAO	Sun Yat-sen University
Xiangze MengRA导师：Anyi RAO	HKUST (Guangzhou)
Zheng Wei校友 · PhD导师：Anyi RAO	Beijing Film Academy	Huamin Qu、Pan Hui 与 Anyi Rao 指导
Haiying HePhD导师：Anyi RAO	—	共同指导
Ho Hin KwanPhD导师：Anyi RAO	—
Baiqi LiPhD导师：Anyi RAO	—	共同指导
Yuyao ZhangPhD导师：Anyi RAO	—	共同指导
Jianxin HuangPhD导师：Anyi RAO	—	共同指导
Yexin LiuPhD导师：Anyi RAO	—	共同指导
Xuran MaPhD导师：Anyi RAO	—	共同指导
Haokai PangPhD导师：Anyi RAO	—	共同指导
Haoze ZhengPhD导师：Anyi RAO	—	共同指导
Jiting LiuPhD · 2025 Fall–导师：Qijia SHAO LinkedIn · Google Scholar · GitHub GitHub 关注 5 Stars 0	2022 Northeastern University, China BSc, CS 2024 Columbia University MSc, CS	面向健康的移动与普适感知；SwimHR 和 Joey Microsoft Research Asia · Research Assistant2024 2024–2025 在 HKUST 任 RA；RedBird Scholarship
Jinhe WenPhD · 2025 Fall–导师：Qijia SHAO	Nanjing University 本科, Applied Physics University of California San Diego 硕士 · 导师 Haojian Jin	HCI、健康、教育、安全与隐私、游戏；mixed-methods 与多利益相关方研究
Yujing ZhangPhD · 2025 Fall–导师：Qijia SHAO	KTH MSc
Yuxuan WengPhD · 2025 Fall–导师：Qijia SHAO	HKUST MSc
Ziqi LiuMPhil · 2025 Fall–导师：Qijia SHAO 简历 · Google Scholar · ORCID · GitHub · LinkedIn · OpenAlex GitHub 关注 0 Stars 0	2025 Tsinghua University BEng · 导师 Yuntao Wang；Haipeng Mi	移动和可穿戴感知、自然交互、健康；PreTap、手机眼动与嗅觉增强 MR 与 Cambridge Dong Ma 合作
Junxiao ChenPhD · 2026 Fall–导师：Qijia SHAO	Tsinghua University BSc
Zeyu LuoRA · 2025 Spring–导师：Qijia SHAO	HKUST MSc
Xuye You本科研究 · 2026 Summer–导师：Qijia SHAO	HKUST 本科在读
Madi LiangRA · 2026 Summer–导师：Qijia SHAO	University of Queensland MSc
Xiangjie Tang校友 · Visiting student · 2025–2026导师：Qijia SHAO	—	Seoul National University PhD
Ziyi Xu校友 · 本科研究 · 2025–2026导师：Qijia SHAO	—	HKUST PhD
Yuchao Wang校友 · RA · 2025–2026导师：Qijia SHAO	—	HKUST MPhil
Jerry Yue Gong校友 · RA · 2025 Spring–2026 Spring导师：Qijia SHAO	HKUST MSc	HKUST PhD
Sibo Wang校友 · Visiting student · 2026 Summer导师：Qijia SHAO	Tongji University MSc
Grier JonesPost-Doc导师：Arno JACOBSEN	—
Herbert WoisetschlägerPhD Student导师：Arno JACOBSEN	—
Yifang TianPhD Student导师：Arno JACOBSEN	—
Michael Dang'anaPhD Student导师：Arno JACOBSEN	—
Yuqiu ZhangPhD Student导师：Arno JACOBSEN	—
Shashank MotepalliPhD Student导师：Arno JACOBSEN	—
Michalis BachrasPhD Student导师：Arno JACOBSEN	—
Pouya KananianPhD Student导师：Arno JACOBSEN	—
Gabriel PaulosPhD Student导师：Arno JACOBSEN	—
Shiquan ZhangPhD Student导师：Arno JACOBSEN	—
Jana VatterPhD Student导师：Arno JACOBSEN	—
Nikolai MerkelPhD Student导师：Arno JACOBSEN	—
Yunhao MaoPhD Student导师：Arno JACOBSEN	—
Jawad TahirPhD Student导师：Arno JACOBSEN	—
Fei PanPhD Student导师：Arno JACOBSEN	—
Zongxin LiuMASc Student导师：Arno JACOBSEN	—
Ben ChengUndergraduate Student导师：Arno JACOBSEN	—
Songlin Hu校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Chunyang Ye校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Kaiwen Zhang校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Christoph Goebel校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Balasubramaneyam Maniymaran校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Ruben Mayer校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Reza Sherafat Kazemzadeh校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Jian Li校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Christoph Doblander校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Tilmann Rabl校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Jiehan Zhou校友 · Postdoctoral Researcher导师：Arno JACOBSEN	—
Alex Cheung校友 · PhD Student导师：Arno JACOBSEN	—
Pooya Salehi校友 · PhD Student导师：Arno JACOBSEN	—
Alexander Erben校友 · PhD Student导师：Arno JACOBSEN	—
Victor Del Razo校友 · PhD Student导师：Arno JACOBSEN	—
José Rivera校友 · PhD Student导师：Arno JACOBSEN	—
Charles Zhang校友 · PhD Student导师：Arno JACOBSEN	—
Thomas Kriechbaumer校友 · PhD Student导师：Arno JACOBSEN	—
Anwar Ul Haq校友 · PhD Student导师：Arno JACOBSEN	—
Matthias Kahl校友 · PhD Student导师：Arno JACOBSEN	—
Milenko Petrovic校友 · PhD Student导师：Arno JACOBSEN	—
Vinod Muthusamy校友 · PhD Student导师：Arno JACOBSEN	—
Kianoosh Mokhtarian校友 · PhD Student导师：Arno JACOBSEN	—
Guoli Li校友 · PhD Student导师：Arno JACOBSEN	—
Mohammad Sadoghi校友 · PhD Student导师：Arno JACOBSEN	—
Gengrui Zhang校友 · PhD Student导师：Arno JACOBSEN	—
Haifeng Liu校友 · PhD Student导师：Arno JACOBSEN	—
Mingwen Chen校友 · PhD Student导师：Arno JACOBSEN	—
Martin Jergler校友 · PhD Student导师：Arno JACOBSEN	—
Lixia Chen校友 · PhD Student导师：Arno JACOBSEN	—
Jeeta Ann Chacko校友 · PhD Student导师：Arno JACOBSEN	—
Chen Chen校友 · PhD Student导师：Arno JACOBSEN	—
Young Yoon校友 · PhD Student导师：Arno JACOBSEN	—
Pezhman Nasirifard校友 · PhD Student导师：Arno JACOBSEN	—
René Schwermer校友 · PhD Student导师：Arno JACOBSEN	—
Zhengdao Xu校友 · PhD Student导师：Arno JACOBSEN	—
Amirhesam Shahvarani校友 · PhD Student导师：Arno JACOBSEN	—
Elias Stehle校友 · PhD Student导师：Arno JACOBSEN	—
Daniel Jorde校友 · PhD Student导师：Arno JACOBSEN	—
Mohammadreza Najafi校友 · PhD Student导师：Arno JACOBSEN	—
Sofia Tijanic校友 · Graduate Student导师：Arno JACOBSEN	—
Anton Sugolov校友 · Undergraduate Student导师：Arno JACOBSEN	—
Markus Saers校友 · Postdoc / PhD · 2011导师：De Kai	2011 The Hong Kong University of Science and Technology Postdoc / PhD	Uppsala University 共同指导
Marine Carpuat校友 · PhD · 2008导师：De Kai	2008 The Hong Kong University of Science and Technology PhD
Karteek Addanki校友 · PhD · 2016导师：De Kai	2016 The Hong Kong University of Science and Technology PhD
Jackie Lo Chi Kiu校友 · PhD / MPhil · 2018导师：De Kai	2018 The Hong Kong University of Science and Technology PhD / MPhil	MPhil 2009
Meriem Beloucif校友 · PhD · 2018导师：De Kai	2018 The Hong Kong University of Science and Technology PhD
Yuchen YanPhD导师：De Kai	—
Serkan KumyolPhD导师：De Kai	—
Tyler BarthMPhil导师：De Kai	—
Ken Lee Wing Kuen校友 · MPhil · 2005导师：De Kai	2005 The Hong Kong University of Science and Technology MPhil
LUK Sui Hei校友 · 本科毕业设计学生 · 2021 - 2022导师：Desmond Yau Chat TSOI	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WU Ho Yin Hollis校友 · 本科毕业设计学生 · 2021 - 2022导师：Desmond Yau Chat TSOI	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WONG Nok Kan校友 · 本科毕业设计学生 · 2021 - 2022导师：Desmond Yau Chat TSOI	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WAT Po Hong校友 · 本科毕业设计学生 · 2021 - 2022导师：Desmond Yau Chat TSOI	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LIANG Yu Yi校友 · 本科毕业设计学生 · 2020 - 2021导师：Desmond Yau Chat TSOI	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SHIH Ho Yin校友 · 本科毕业设计学生 · 2020 - 2021导师：Desmond Yau Chat TSOI	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SHUM Ka Chun校友 · 本科毕业设计学生 · 2020 - 2021导师：Desmond Yau Chat TSOI	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
YEH Ka Chi校友 · 本科毕业设计学生 · 2020 - 2021导师：Desmond Yau Chat TSOI	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LAW Man Hei校友 · 本科毕业设计学生 · 2019 - 2020导师：Desmond Yau Chat TSOI	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LEUNG Hoi Ting校友 · 本科毕业设计学生 · 2019 - 2020导师：Desmond Yau Chat TSOI	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SO Yan Tung校友 · 本科毕业设计学生 · 2019 - 2020导师：Desmond Yau Chat TSOI	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHOW Tsz Ki校友 · 本科毕业设计学生 · 2019 - 2020导师：Desmond Yau Chat TSOI	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LAU Kwun Pong校友 · 本科毕业设计学生 · 2018 - 2019导师：Desmond Yau Chat TSOI	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHAN Hiu Tung校友 · 本科毕业设计学生 · 2018 - 2019导师：Desmond Yau Chat TSOI	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
TAM Tung Man校友 · 本科毕业设计学生 · 2018 - 2019导师：Desmond Yau Chat TSOI	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHOW Ka Chun校友 · 本科毕业设计学生 · 2018 - 2019导师：Desmond Yau Chat TSOI	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LUK Sui Hei校友 · 本科毕业设计学生 · 2021 - 2022导师：Cecia Ki CHAN	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WU Ho Yin Hollis校友 · 本科毕业设计学生 · 2021 - 2022导师：Cecia Ki CHAN	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WONG Nok Kan校友 · 本科毕业设计学生 · 2021 - 2022导师：Cecia Ki CHAN	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WAT Po Hong校友 · 本科毕业设计学生 · 2021 - 2022导师：Cecia Ki CHAN	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LIANG Yu Yi校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SHIH Ho Yin校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SHUM Ka Chun校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
YEH Ka Chi校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LEUNG Hang Kam校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	SumNews: Automatic News Summarization System
LEUNG Hin Fung校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	SumNews: Automatic News Summarization System
TO Ming San校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	SumNews: Automatic News Summarization System
CHAU Shun Wai校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	SumNews: Automatic News Summarization System
TANG Cheuk Kit校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	Mobile App for Health and Well Being Best Computer Engineering FYP Award
CHAN Sze Long校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	Mobile App for Health and Well Being Best Computer Engineering FYP Award
ZOU Zhao Ning校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	Mobile App for Health and Well Being Best Computer Engineering FYP Award
MAK Yuet Hang校友 · 本科毕业设计学生 · 2020 - 2021导师：Cecia Ki CHAN	—	Virtual Butler (VR): Automated Personal Assistant
LEUNG Chun Ting Nick校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	USTravel Advisor
SUEN Tsz Wing校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	USTravel Advisor
WONG Kit Ming John校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	USTravel Advisor
WONG Man Long Anson校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	USTravel Advisor
Perry Hayes LO校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	A Mobile Game for Promoting Health and Well-Being
Ling Chung CHEUNG校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	A Mobile Game for Promoting Health and Well-Being
Sze Sze TSE校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	A Mobile Game for Promoting Health and Well-Being
Ka Chun YAU校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	A Mobile Game for Promoting Health and Well-Being
CHAN Tin Hang校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	A Smart Medicine Reminder and Pill Tracking System
CHU Long Wai校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	A Smart Medicine Reminder and Pill Tracking System
YAN Kuen Chiu校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	A Smart Medicine Reminder and Pill Tracking System
LAW Man Hei校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LEUNG Hoi Ting校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SO Yan Tung校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHOW Tsz Ki校友 · 本科毕业设计学生 · 2019 - 2020导师：Cecia Ki CHAN	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LAU Kwun Pong校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHAN Hiu Tung校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
TAM Tung Man校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHOW Ka Chun校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
FUNG Yuen Laam校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	A Mobile App for Health-related Recommendations: Helpthy
LAM Tsz Yeung校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	A Mobile App for Health-related Recommendations: Helpthy
WONG Ho Chun校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	A Mobile App for Health-related Recommendations: Helpthy
YIP Tsz Hin校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	A Mobile App for Health-related Recommendations: Helpthy
Lau Wing Shing校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	Mobile Application for Diet-based Recipe Recommendation
Leung Chun Lok校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	Mobile Application for Diet-based Recipe Recommendation
Wong Heng Kwong校友 · 本科毕业设计学生 · 2018 - 2019导师：Cecia Ki CHAN	—	Mobile Application for Diet-based Recipe Recommendation
Junwei ZhouPhD Student · Fall 2025–导师：Yu-Wing TAI Google Scholar · GitHub GitHub 关注 27 Stars 57	2025 Huazhong University of Science and Technology BEng Dartmouth College PhD（在读）	三维与四维视觉、生成模型、空间与物理理解、世界模型博士导师为 Yu-Wing Tai；此前与 UC Merced 的 Ming-Hsuan Yang、Lu Qi、Xueting Li 及 HUST 的 Xinggang Wang 合作。
Ziyang MaiPhD Student · Fall 2025–导师：Yu-Wing TAI GitHub · Google Scholar GitHub 关注 13 Stars 10	2023 Shenzhen University Honors Bachelor in Computer Science 2025 The Hong Kong University of Science and Technology (Guangzhou) MPhil Dartmouth College PhD（在读）	视频生成 Adobe Research, Seattle · Research Scientist Intern2026-06–2026-09 本科与 Hui Huang、Xu Wang 合作；MPhil 导师 Ying-Cong Chen；博士导师 Yu-Wing Tai。
Yuyao ZhangPhD Student · Fall 2024–导师：Yu-Wing TAI Google Scholar	Dartmouth College PhD（在读） 2023 École polytechnique fédérale de Lausanne Exchange 2024 The Hong Kong University of Science and Technology BSc in Data Science and Technology	多模态生成模型、高效扩散模型、多模态 Agent 系统本科与 Xiaomeng Li、Yu-Wing Tai、Chi-Keung Tang 合作；2023-06 至 2024-05 任 HKUST RA；2022-09 至 2023-02 在 EPFL 交换。博士导师 Yu-Wing Tai。
Xinyi WangMS Student · Fall 2026–导师：Yu-Wing TAI	—
Lihan LiMS Student · Fall 2026–导师：Yu-Wing TAI	—
Benson WangMS Student · Fall 2026–导师：Yu-Wing TAI	—
Wanning HeMS Student · Winter 2026–导师：Yu-Wing TAI	—
Yu ShiMS Student · Winter 2026–导师：Yu-Wing TAI	—
Yiwen Yan校友 · MS Student · Fall 2025–Summer 2026导师：Yu-Wing TAI	—
Youran Qu校友 · MS Student · Winter 2026–Spring 2026导师：Yu-Wing TAI	—
Yuening Cai校友 · MS Student · Fall 2025–Spring 2026导师：Yu-Wing TAI	—
Alexandar Huang-Menders校友 · Undergraduate / MS Student · Fall 2024–Spring 2025（本科）；Fall 2025–Winter 2026（MS）导师：Yu-Wing TAI	—	本科荣誉论文《SmartAvatar: Text- and Image-Guided Human Avatar Generation with VLM AI Agents》 Engineer, Palantir, New York City
Thang Nguyen校友 · MS Student · Summer 2024–Summer 2025导师：Yu-Wing TAI	—	与 Dartmouth Thayer School of Engineering 的 Peter Chin 共同指导。
Dung D. TranUndergraduate Student · Spring 2026–导师：Yu-Wing TAI	—
Jake Jump校友 · Undergraduate Student · Winter 2026–Spring 2026导师：Yu-Wing TAI	—	本科荣誉论文《Reliability-Aware Mixture-of-Agents for Robust AI-Generated Image Detection》
Andy Xu校友 · Undergraduate Student · Winter 2026–Spring 2026导师：Yu-Wing TAI	—	本科荣誉论文《Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems》
Sonia Bendre校友 · Undergraduate Student · Fall 2024–Spring 2025导师：Yu-Wing TAI	—	本科荣誉论文《Scalable Linear Attention for Video Diffusion with Positional Encoding Interpolation》 Associate Product Manager, Databricks, San Francisco
Xinhang Liu校友 · Former advisee导师：Yu-Wing TAI 简历 · GitHub · Google Scholar GitHub 关注 77 Stars 370	—	Research Engineer, Light Robotics, Shenzhen
Lei Ke校友 · Former advisee导师：Yu-Wing TAI	—	Senior Research Scientist, Tencent AI Seattle Lab
Qi Fan校友 · Former advisee导师：Yu-Wing TAI Google Scholar · GitHub GitHub 关注 126 Stars 1,404	—	Assistant Professor, Nanjing University
Yanan Sun校友 · Former advisee导师：Yu-Wing TAI	—	Researcher, Shanghai AI Lab
Ho Kei (Rex) Cheng校友 · Former advisee导师：Yu-Wing TAI X · GitHub · Google Scholar GitHub 关注 619 Stars 9,301	—	Research Scientist, Luma AI
Shangzhe Wu校友 · Former advisee导师：Yu-Wing TAI 简历 · GitHub · Google Scholar · X GitHub 关注 262 Stars 1,679	—	Assistant Professor, University of Cambridge
Hao-Shu Fang校友 · Former advisee导师：Yu-Wing TAI 简历 · GitHub · Google Scholar GitHub 关注 616 Stars 455	—	Assistant Professor, University of Maryland, College Park
Hyeokhyen Kwon校友 · Former advisee导师：Yu-Wing TAI ORCID · Google Scholar · GitHub · X	—	Assistant Professor, Emory University
Gayoung Lee校友 · Former advisee导师：Yu-Wing TAI Google Scholar	—	Researcher, NAVER AI Lab
Jinsun Park校友 · Former advisee导师：Yu-Wing TAI GitHub GitHub 关注 62 Stars 413	—	Assistant Professor, Pusan National University
Donghyeon Cho校友 · Former advisee导师：Yu-Wing TAI Google Scholar	—	Associate Professor, Hanyang University
Tae-Hyun Oh校友 · Former advisee导师：Yu-Wing TAI	—	Associate Professor, KAIST
Jaesik Park校友 · Former advisee导师：Yu-Wing TAI	—	Associate Professor, Seoul National University
Thomas Kerkhoven校友 · PhD Student导师：Tony F. CHAN	—
Diana Resasco校友 · PhD Student导师：Tony F. CHAN	—
Ray Tuminaro校友 · PhD Student导师：Tony F. CHAN	—
Charles Tong校友 · PhD Student导师：Tony F. CHAN	—
Wai-Kin Tsui校友 · PhD Student导师：Tony F. CHAN	—
June Donato校友 · PhD Student导师：Tony F. CHAN	—
Jennifer Chang校友 · PhD Student导师：Tony F. CHAN	—
Jian-Ping Shao校友 · PhD Student导师：Tony F. CHAN	—
Tedd Szeto校友 · PhD Student导师：Tony F. CHAN	—
David Strong校友 · PhD Student导师：Tony F. CHAN	—
Ilya Sharapov校友 · PhD Student导师：Tony F. CHAN	—
Manchung Yeung校友 · PhD Student导师：Tony F. CHAN	—
Susie Go校友 · PhD Student导师：Tony F. CHAN	—
Justin Wan校友 · PhD Student导师：Tony F. CHAN	—
Peter Blomgren校友 · PhD Student导师：Tony F. CHAN	—
Chiu-Kwong Wong校友 · PhD Student导师：Tony F. CHAN	—
Haomin Zhou校友 · PhD Student导师：Tony F. CHAN	—
Jamylle Carter校友 · PhD Student导师：Tony F. CHAN	—
Berta Sandberg校友 · PhD Student导师：Tony F. CHAN	—
Sung-Ha Kang校友 · PhD Student导师：Tony F. CHAN	—
David Huckaby校友 · PhD Student导师：Tony F. CHAN	—
Bing Song校友 · PhD Student导师：Tony F. CHAN	—
Wei Zhu校友 · PhD Student导师：Tony F. CHAN	—
Mark Moelich校友 · PhD Student导师：Tony F. CHAN	—
Andy Yip校友 · PhD Student导师：Tony F. CHAN	—
Fred Park校友 · PhD Student导师：Tony F. CHAN	—
Kenton Sze校友 · PhD Student导师：Tony F. CHAN	—
Ronald Lui校友 · PhD Student导师：Tony F. CHAN	—
Kangyu Ni校友 · PhD Student导师：Tony F. CHAN	—
Tim Lee校友 · PhD Student导师：Tony F. CHAN	—
Mingqiang Zhu校友 · PhD Student导师：Tony F. CHAN	—
Ernie Esser校友 · PhD Student导师：Tony F. CHAN	—
Ethan Miller校友 · PhD Student导师：Tony F. CHAN	—
Alvin Wong校友 · PhD Student导师：Tony F. CHAN	—
Eric Radke校友 · PhD Student导师：Tony F. CHAN	—
Matthew Keegan校友 · PhD Student导师：Tony F. CHAN	—
Wai Yee Peter Wong校友 · PhD Student · 1992导师：Dik-Lun LEE	1992 Ohio State University PhD
Wang-Chien Lee校友 · PhD Student · 1996导师：Dik-Lun LEE	1996 Ohio State University PhD
Dik-Lun Lee校友 · PhD Student · 1980–1985导师：Frederick H. LOCHOVSKY	1985 University of Toronto PhD
Zeyu Hu校友 · PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology PhD	LightSpeed Studios, Singapore
Jingyuan Liu校友 · PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology PhD	Postdoc, University of Tokyo
Xuyang Bai校友 · PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology PhD	Machine Learning Engineer, Apple
Craig Lei Li校友 · PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology PhD	Assistant Professor, University of Virginia
Qingkun Su校友 · PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology PhD	Alibaba AI Lab
Jingbo Liu校友 · PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology PhD	Machine Learning Engineer, Apple
Pengfei Xu校友 · MPhil / PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD	Associate Professor, Shenzhen University 与 Hongbo Fu 共同指导。
Youyi Zheng校友 · PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology PhD	Researcher, Zhejiang University
Hongbo Fu校友 · PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology PhD	Professor / Acting Head, Arts and Machine Creativity, HKUST
Oscar Kin-Chung Au校友 · MPhil / PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD	Assistant Professor, School of Creative Media, CityUHK
Nelson Siu-Hang Chu校友 · MPhil / PhD Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD	Founder, Expresii
Shenlai Gao校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Jianhui Zhang校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Xuren Zhou校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Sisi Wu校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Lu (Arthur) Chen校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Tian Han校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Jackson Yuen校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Hengli Yin校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Menglin Chen校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Jianwei Le校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Alan Hui Zhao校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Jacky Chun-Kin Fong校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Janice Yim-Hung Chan校友 · MPhil Student导师：Chiew-Lan TAI	The Hong Kong University of Science and Technology MPhil
Jiyuan Zhang校友 · Visiting PhD / Research Intern · 2014-07–2015-01导师：Chiew-Lan TAI	Peking University PhD student
Hao Wang校友 · Visiting PhD / Research Intern · 2012-03–2012-08导师：Chiew-Lan TAI	Nanjing University PhD student
Yirui Wu校友 · Visiting PhD / Research Intern · 2012-03–2012-08；2014-08–2015-01导师：Chiew-Lan TAI	Nanjing University PhD student
Yu-Shuen Wang校友 · Visiting PhD / Research Intern · 2007-09–2008-01导师：Chiew-Lan TAI	National Cheng Kung University PhD student
James Hung-Kuo Chu校友 · Visiting PhD / Research Intern · 2007-09–2008-01导师：Chiew-Lan TAI	National Cheng Kung University PhD student
Tong Lu校友 · Visiting PhD / Research Intern导师：Chiew-Lan TAI	Nanjing University PhD student
Dashan Gao校友 · PhD Student导师：Qiang YANG	HKUST PhD	Minimum Information Leakage in Vertical Federated Learning. Co-supervision with Professors Xin Yao and Kai Chen. Dr Co-supervision with Professors Xin Yao and Kai Chen
Di Chai校友 · PhD Student · 2025导师：Qiang YANG	2025 HKUST PhD	Secure and Practical Federated Matrix Factorization. 2025. Dr
Liya Ji校友 · PhD Student导师：Qiang YANG	HKUST PhD	Accurate probability estimates from large-scale data in the applications of display advertising Dr Co-supervised with Chen, Qifeng)
Han Tian校友 · PhD Student导师：Qiang YANG	HKUST PhD	Network congestion control with deep reinforcement learning Dr Assistant Professor, USTC Co-supervised with Kai Chen), Assistant Professor at USTC, Thesis: Network congestion control with deep reinforcement learning Dr
Xueyang Wu校友 · PhD Student导师：Qiang YANG	HKUST PhD	Federated transfer learning under heterogeneous data · Dr
Guangneng Hu校友 · PhD Student导师：Qiang YANG	HKUST PhD	Deep and adversarial knowledge transfer in recommendation · Dr Xidian University
Zheng Li校友 · PhD Student导师：Qiang YANG	HKUST PhD	Neural knowledge transfer for low-source sentiment analysis : cross-domain, cross-task & cross-lingual Dr Amazon
Yexin Li校友 · PhD Student导师：Qiang YANG	HKUST PhD	Deep reinforcement learning in urban computing Dr JD.com
Yinghua Zhang校友 · PhD Student导师：Qiang YANG	HKUST PhD	Deep transfer learning : generalization on clean and adversarial data · Dr Meituan
Lili Zhao校友 · PhD Student导师：Qiang YANG	HKUST PhD	Active transfer learning for recommendation system · Dr Tencent
Wenyuan Dai校友 · PhD Student导师：Qiang YANG	HKUST PhD	Lower the barrier of machine learning : meta learning for transfer learning and autoML Dr 4th Paradigm
Kaixiang Mo校友 · PhD Student导师：Qiang YANG	HKUST PhD	Transfer reinforcement learning for task-oriented dialogue systems Dr SHEIN
Ben Tan校友 · PhD Student导师：Qiang YANG	HKUST PhD	Distant domain transfer learning Dr Tencent
Bin Wu校友 · PhD Student导师：Qiang YANG	HKUST PhD	Machine recognition of music emotion and the correlation with musical timbre · Dr Tencent Co-supervised with Andrew Horner), Tencent
Zhongqi Lu校友 · PhD Student导师：Qiang YANG	HKUST PhD	Selective transfer learning for cross domain recommendation Dr China University of Petroleum
Ying Wei校友 · PhD Student导师：Qiang YANG	HKUST PhD	Heterogeneous transfer learning · Dr Nanyang Technological University
Bo Liu校友 · PhD Student导师：Qiang YANG	HKUST PhD	Transferable bandit · Dr ByteDance
George (Georgios) Trimponias校友 · PhD Student · 2015导师：Qiang YANG	2015 HKUST PhD	Game-Theoretic Design for Assignment and Ranking in Online Advertising and Human Computation, Huawei Noah's Ark Lab
Ruiming Xie校友 · MPhil Student导师：Qiang YANG	HKUST MPhil	Transfer learning for one-class recommendation based on matrix factorization Dr
Yin Zhu校友 · PhD Student · 2014导师：Qiang YANG	2014 HKUST PhD	Activity Recognition via Social Knowledge Transfer. July 21, 2014. Dr
Erheng Zhong校友 · PhD Student · 2014导师：Qiang YANG	2014 HKUST PhD	Composite Social Network Analysis (PDF) Yahoo! Labs., USA. Dr
Derek Hao Hu校友 · PhD Student · 2012导师：Qiang YANG	2012 HKUST PhD	Learning based Activity Recognition (PDF) Microsoft (Bing) at Redmond, Washington, USA. Dr
Weizhu Chen校友 · PhD Student · 2012导师：Qiang YANG	2012 HKUST PhD	An Associative Characterization of Click Models in Web Search (PDF) Vice President, Microsoft（主页精选校友栏）
Simone Marini校友 · PhD Student · 2012导师：Qiang YANG	2012 HKUST PhD	Qualitative and Quantitative Protein Interaction Prediction with Machine Learning Postdoc in Italy. Dr
Evan Wei Xiang校友 · PhD Student · 2012导师：Qiang YANG	2012 HKUST PhD	Transfer Learning with Open Web Data (PDF) Baidu.com Dr
Weike Pan校友 · PhD Student · 2012导师：Qiang YANG	2012 HKUST PhD	Transfer Learning in Collaborative Filtering (PDF) Assistant Professor at Shenzhen University, Shenzhen, China
Jinliang Deng校友 · MPhil Student导师：Qiang YANG	HKUST MPhil	Order Dispatching for Electric Vehicles by Deep Multi-Objective Reinforcement Learning
Xiang Zhang校友 · MPhil Student导师：Qiang YANG	HKUST MPhil	Transfer hierarchical attention network for generative dialog system
Wenya Zhu校友 · MPhil Student导师：Qiang YANG	HKUST MPhil	Generative dialogue system with knowledge base
Caigao Jiang校友 · MPhil Student导师：Qiang YANG	HKUST MPhil	Large scale WiFi indoor localization
Si Shen校友 · MPhil Student导师：Qiang YANG	HKUST MPhil	New perspectives on search click modeling · Dr
Nathan Nan Liu校友 · PhD Student · 2011导师：Qiang YANG	2011 HKUST PhD	Ranking Oriented Approach to Context Aware Recommendation (PDF) Yahoo! Labs. Dr
Bin Cao校友 · PhD Student · 2011导师：Qiang YANG	2011 HKUST PhD	Collaborative and Transfer Learning in Recommendations (PDF) Microsoft Research Asia. Dr
Vincent Wenchen Zheng校友 · PhD Student · 2011导师：Qiang YANG	2011 HKUST PhD	Learning with Limited Data in Sensor-based Human Behavior Recognition (PDF) Institute for Infocomm Research, Singapore. Webank. Dr
Qian Xu校友 · PhD Student / Postdoctoral Researcher · 2010导师：Qiang YANG	2010 HKUST PhD	Knowledge Transfer for Solving the Data Scarcity Problem for Machine Learning in Boinformatics (PDF). Baidu.com; WeBank. Dr Co-supervised with Hong Xue
Can Yang校友 · PhD Student · 2011导师：Qiang YANG	2011 HKUST PhD	SNP data analysis in genome-wide association studies (PDF) Professor at Math Department, HKUST Dr Co-supervised with Weichuan Yu
Sinno Jialin Pan校友 · PhD Student · 2010导师：Qiang YANG	2010 HKUST PhD	Feature-based Transfer Learning with Real-world Applications (PDF). 2010- 2014: Institute for Infocomm Research, Singapore. 2014 -: Nanyang Professor at Nanyang Technological University (NTU), Singapore Professor at Chinese University of Hong Kong. Dr
Jeffrey Junfeng Pan校友 · PhD Student · 2007导师：Qiang YANG	2007 HKUST PhD	Learning-based Localization in Wireless and Sensor Networks (PDF) Facebook Dr
Dou Shen校友 · PhD Student · 2007导师：Qiang YANG	2007 HKUST PhD	Learning Based Web Query Understanding (PDF). co-founder: BuzzLabs, and 2011-2012: Senior Director, CityGrid Media. 2012-2014: Director of Advertisement Union, Baidu Inc. 2014- : Director of Search and Personalization, Baidu Inc. Beijing, China
Hui Wang校友 · MPhil Student导师：Qiang YANG	HKUST MPhil	Web-log Mining for Quantitative Temporal-Event Prediction WeChat. Dr
Jie Yin校友 · PhD Student · 2006导师：Qiang YANG	2006 HKUST PhD	Probabilistic Activity Recognition from Low-Level Sensors (PDF). Research Scientist, CSIRO, Australia
Hong Cheng校友 · MPhil Student导师：Qiang YANG	HKUST MPhil	Mining Case Bases for Action Recommendation Professor at Chinese University of Hong Kong
Henry Zhang校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	Mining web logs for prediction models in WWW caching and prefetching
Ian T.Y. Lee校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	Classification Pruning for Web-request Prediction Microsoft
Jing Wu校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	Amdocs
Sheng Li校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	Activating Case-Based Reasoning with Active Databases Seagate Software
Hai- jing Fang校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc
Hui Zhang校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	Professor at University of Manitoba, Canada
Zhong Zhang校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning, July 1999 Professor in University of Lethbridge, Canada
Zhen Michael Zhang校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	Model Based Predictive Prefetching
Sandra Hayden校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	NASA Ames, USA
Gunter Mussbac校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc
Jun Zhu校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc
Kirsti Racine校友 · MSc Student导师：Qiang YANG	Simon Fraser University MSc	Maintaining Case Bases IBM Canada
Philip Fong校友 · Research Student Student导师：Qiang YANG	—	Machine Learning Theory. 1994 - 1996 Professor at University of Calgary, Canada
Stephanie Ellis校友 · MSc Student导师：Qiang YANG	University of Waterloo MSc	Class Table Scheduling with AI. 1994-1996
Cheryl Murray校友 · MSc Student导师：Qiang YANG	University of Waterloo MSc	An Evaluation of the Temporal Coherence Heuristic in Partial-Order Planning. Dr
Steven Woods校友 · PhD Student导师：Qiang YANG	University of Waterloo PhD	Vice President, Google Canada（主页精选校友栏）
Eugene Fink校友 · MSc Student导师：Qiang YANG	University of Waterloo MSc	Characterizing and Learning Primary Effects in Planning. At CMU (Last PhD student of Herb Simon)
Alex Chan校友 · MSc Student导师：Qiang YANG	University of Waterloo MSc	Partial Order Planning Microsoft
Chunxu Zhang校友 · Postdoctoral Researcher导师：Qiang YANG	—
Xiaojin Zhang校友 · Postdoctoral Researcher导师：Qiang YANG	—
Hao Liu校友 · Postdoctoral Researcher导师：Qiang YANG	—
Zelei Liu校友 · Postdoctoral Researcher导师：Qiang YANG	—
Leye Wang校友 · Postdoctoral Researcher导师：Qiang YANG	—
Wei Hui校友 · Postdoctoral Researcher导师：Qiang YANG	—
Yiqiang Chen校友 · Postdoctoral Researcher导师：Qiang YANG	—
Huayan校友 · Postdoctoral Researcher导师：Qiang YANG	—
Rong Pan校友 · Postdoctoral Researcher导师：Qiang YANG	—
Shuangyin Li校友 · Postdoctoral Researcher导师：Qiang YANG	—
Qi Liu校友 · Postdoctoral Researcher导师：Qiang YANG	—
Hankz Zhuo校友 · Postdoctoral Researcher导师：Qiang YANG	—
Yidong Shen校友 · Visiting Professor · 2001-03–2002-08导师：Qiang YANG	—
Chunyan Miao校友 · Postdoctoral Fellow · 2001-04–2002-03导师：Qiang YANG	—
Yong Wang校友 · Postdoctoral Fellow · 1998-09–1999-09导师：Qiang YANG	—
Geof Glass校友 · Postdoctoral Fellow · 1997-05–1999-08导师：Qiang YANG	—
Peter Leung校友 · Postdoctoral Fellow · 1997-05–1998-08导师：Qiang YANG	—
Leslia Chow校友 · Postdoctoral Fellow · 1997-09–1998-08导师：Qiang YANG	—
Christina Carrick校友 · Postdoctoral Fellow · 1998-09–1999-09导师：Qiang YANG	—
Wei-Dong Yu校友 · Postdoctoral Fellow · 1996–1997导师：Qiang YANG	—
Michael Boeur校友 · Postdoctoral Fellow · 1995–1996导师：Qiang YANG	—
Eddie Kim校友 · Postdoctoral Fellow · 1995–1998导师：Qiang YANG	—
Tianqi Chen校友 · Research Intern导师：Qiang YANG	—	Faculty, Carnegie Mellon University
Wing Yin LaiMPhil Student导师：Dit-Yan YEUNG	—
Shuangjie XuPhD Student导师：Dit-Yan YEUNG	—
Kam Fai Chan校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Chief Technical Officer, PenCalc Technology
Hong Chang校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Professor, University of Chinese Academy of Sciences; formerly at Xerox Research Centre Europe
Kai Chen校友 · PhD Student导师：Dit-Yan YEUNG 简历 · GitHub · X · Google Scholar GitHub 关注 77 Stars 125	Fudan University Bachelor in Computer Science The Hong Kong University of Science and Technology PhD	数据驱动的可靠多模态 AI、多模态大模型、三维视觉世界模型与模型反馈本科导师 Yanwei Fu；博士导师 Dit-Yan Yeung。2019-06 至 2019-09 在 Indiana University Bloomington 与 David Crandall 访问合作，2018-09 至 2019-01 在 Manchester 与 Tingting Mu 交换合作。
Kwok Wai William Cheung校友 · PhD Student导师：Dit-Yan YEUNG DBLP · ORCID · OpenAlex DBLP 近三年 26 OpenAlex 近三年 14 引用 3,463 h-index 28	The Hong Kong University of Science and Technology PhD	Associate Vice-President and Professor, Hong Kong Baptist University
Tsz Him Cheung校友 · PhD Student · 2025导师：Dit-Yan YEUNG	2025 The Hong Kong University of Science and Technology PhD	Lecturer, Hong Kong University of Science and Technology
Ping Man Sam Choi校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Assistant Professor, Hong Kong Metropolitan University
Tsz Ting Chung校友 · PhD Student导师：Dit-Yan YEUNG 简历 · Google Scholar · GitHub · LinkedIn GitHub 关注 6 Stars 13	The Chinese University of Hong Kong Bachelor, First Class Honours The Hong Kong University of Science and Technology PhD	自然语言处理、大语言模型推理能力分析与训练博士导师 Dit-Yan Yeung；本人感谢 Lemao Liu、Mo Yu 的研究指导。
Zhihan Gao校友 · PhD Student导师：Dit-Yan YEUNG 简历 · Google Scholar · GitHub · LinkedIn · X GitHub 关注 54 Stars 165	2016 Peking University BSc in Physics 2024 The Hong Kong University of Science and Technology PhD in CSE	机器学习、时空建模与地球科学 AI Algorithm Engineer, ByteDance
Chenhan Jiang校友 · PhD Student导师：Dit-Yan YEUNG 简历 · X · LinkedIn · Google Scholar · GitHub GitHub 关注 0 Stars 1	2019 Sun Yat-sen University Master The Hong Kong University of Science and Technology PhD	三维生成与感知、场景理解、二维与三维检测与表征学习 SenseTime · Research Intern2018-01–2018-12 Huawei Noah's Ark Lab · Researcher2019-12–2022-06 硕士导师 Liang Lin、Xiaodan Liang；2022-09 开始 HKUST 博士，导师 Dit-Yan Yeung。2025-02 至 2025-11 访问 Imperial College London，导师 Jiankang Deng。
Tin Yau James Kwok校友 · PhD Student导师：Dit-Yan YEUNG Google Scholar	The University of Hong Kong BSc in Electrical and Electronic Engineering The Hong Kong University of Science and Technology PhD	机器学习、深度学习、数据挖掘与人工智能 Professor, Hong Kong University of Science and Technology; formerly at Hong Kong Baptist University
Siyi Li校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Senior Research Engineer, Sea AI Lab; formerly at Tencent
Wu-Jun Li校友 · PhD Student导师：Dit-Yan YEUNG	2003 Nanjing University BSc 2006 Nanjing University MEng 2010 The Hong Kong University of Science and Technology PhD	人工智能、机器学习、大数据、智慧医疗、AI for Science Professor, Nanjing University; formerly at Shanghai Jiao Tong University 博士导师 Dit-Yan Yeung；2010–2013 任职 Shanghai Jiao Tong University。
Nedjma Djouhra Ousidhoum校友 · PhD Student导师：Dit-Yan YEUNG	2010 University of Science and Technology Houari Boumediene (USTHB) Bachelor in Computer Science 2012 University of Science and Technology Houari Boumediene (USTHB) Master in Software Engineering 2021 The Hong Kong University of Science and Technology PhD in Computer Science	自然语言处理、计算社会科学、自动事实核查、低资源语言与偏见 Lecturer, Cardiff University; formerly at University of Cambridge 博士导师 Yangqiu Song、Dit-Yan Yeung；后在 Cambridge 与 Andreas Vlachos 开展博士后研究。
Meng Qin校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Assistant Researcher, Peng Cheng National Laboratory
Xingjian Shi校友 · PhD Student导师：Dit-Yan YEUNG GitHub GitHub 关注 824 Stars 532	2014 Shanghai Jiao Tong University BEng 2018 The Hong Kong University of Science and Technology PhD	多模态生成模型、多模态 AutoML、地球科学深度学习 OpenAI · Member of Technical Staff Boson AI · Model Development Lead Amazon · Senior Applied Scientist Member of Technical Staff, OpenAI; formerly at Boson AI and Amazon AWS 博士导师 Dit-Yan Yeung。
Zifan Vivian Shi校友 · PhD Student导师：Dit-Yan YEUNG	Nanjing University Bachelor The Hong Kong University of Science and Technology PhD	世界模型、生成模型、三维与四维视觉 ByteDance · Research Intern2021-09–2022-05 Ant Research · Research Intern2022-06–2023-04 Adobe Research · Research Intern2023-05–2023-08 Adobe Research · Research Scientist Research Scientist, Adobe Research 博士导师 Dit-Yan Yeung、Qifeng Chen；2023-10 至 2024-03 访问 Stanford，导师 Gordon Wetzstein。
Lin Sun校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Head of Perception, Samsung Strategy and Innovation Center
Ting Sun校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Applied Scientist, Amazon; formerly at Gatik, Canada and Huawei
Gang Wang校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Director of AI Assistant, Xiaomi Technology; formerly at Tencent and Microsoft Research Asia
Hao Wang校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	机器学习、人工智能、统计学习与深度学习 Assistant Professor, Rutgers University; formerly at Massachusetts Institute of Technology
Naiyan Wang校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Distinguished Scientist, Xiaomi; formerly at TuSimple
Junjie Wu校友 · PhD Student · 2020-09–2026-01导师：Dit-Yan YEUNG 简历 · Google Scholar · LinkedIn · GitHub GitHub 关注 5 Stars 18	2020 Sun Yat-sen University BSc in Statistics 2026 The Hong Kong University of Science and Technology PhD	大模型后训练、奖励建模与 Agent 评测 Tencent AI Lab, NLP Group · Research Intern2021-06–2024-01 Tencent WeChat AI · Research Intern2024-05–2025-05 Meta GenAI · Research Intern2025-06–2026-01 Tencent · Senior Researcher2026-02– Senior Researcher, Tencent 博士导师 Dit-Yan Yeung；2024-09 至 2025-02 在 Yale NLP 访问，导师 Arman Cohan。
Yuan Yuan校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Assistant Professor, Boston College; formerly at Massachusetts Institute of Technology, and Alibaba
Yu Zhang校友 · PhD Student导师：Dit-Yan YEUNG Google Scholar · GitHub GitHub 关注 2 Stars 3	Nanjing University Bachelor Nanjing University Master The Hong Kong University of Science and Technology PhD	机器学习、模式识别、数据挖掘、面向基础模型的学习方法 Associate Professor, Southern University of Science and Technology; formerly at Hong Kong University of Science and Technology, and Hong Kong Baptist University
Yi Zhen校友 · PhD Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology PhD	Machine Learning Engineer, LinkedIn; formerly at Baidu Research, Georgia Institute of Technology, Duke University, and Huawei
Siyuan Zhou校友 · PhD Student导师：Dit-Yan YEUNG Google Scholar · GitHub GitHub 关注 11 Stars 141	2022 Peking University BSc in Computer Science The Hong Kong University of Science and Technology PhD	生成模型、世界模型、机器人学习扩展 Tencent WXG · Research Intern2021-09–2021-12 Tencent Robotics X Lab · Research Intern2024-08–2025-06 Seed · Research Intern2025-06 起博士导师 Dit-Yan Yeung；与 Chuang Gan、Yilun Du 合作。2023-06 至 2023-09 访问 MIT-IBM Watson AI Lab。
Wai Lun Chan校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Yun Kwan Emprise Chan校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Jingni Chen校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Chun Hom Eddy Cheung校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Wai Lun Johnson Cheung校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Ka Wing Joe Cho校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Calvin Chow校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Wei Kevin Fan校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Xianghong Fang校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
On Tik Andy Fung校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
We Ming William Go校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Guangyuan Hao校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Jeongseok Hyun校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Kin Fai Epsilon Ip校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Pak Keung Steven Lai校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Ho Yu Ivan Lam校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Ying Yee Ava Lau校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Leonard Lausen校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Hiu Chung Martin Law校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Jinseok Lee校友 · MPhil Student导师：Dit-Yan YEUNG Google Scholar · GitHub · LinkedIn GitHub 关注 7 Stars 26	The Hong Kong University of Science and Technology MPhil
Fei Allen Mi校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Yang Ruan校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Yusen Sun校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Siu Shing Calvin Tang校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Zheng Tang校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Feng Lily Tian校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Yanxin Wang校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Zhiyang Wang校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Chi Ho John Wong校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Man Ho Daniel Wong校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Feng Xiong校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Lei Xiong校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Yimin Xiong校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Chiu Wai Yan校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Chun Kit Yeung校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Kei Wai Kiwi Yeung校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Lap Fai Craig Yu校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology BBA The Hong Kong University of Science and Technology BEng in Computer Science The Hong Kong University of Science and Technology MPhil in Computer Science University of California, Los Angeles PhD in Computer Science	混合现实、计算设计、游戏设计、图形学、视觉与人机交互 Great Victory Legends, Inc. · Co-Founder Microsoft Research Asia, Internet Graphics Group · Research experience Professor, George Mason University；Co-Founder, Great Victory Legends, Inc. UCLA 博士导师 Demetri Terzopoulos；曾在 MIT、Stanford 访问。
Cancheng Zeng校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Jie Zhou校友 · MPhil Student导师：Dit-Yan YEUNG	The Hong Kong University of Science and Technology MPhil
Guoli Ye校友 · PhD Student · 2012导师：Brian Kan-Wing MAK	—	Speaker-Ensemble Hidden Markov Modeling for Automatic Speech Recognition
Padmanabhan Krishnamurthy校友 · 本科研究学生 · 2019导师：Brian Kan-Wing MAK	—	Helen — AI 唇读无障碍设备
Amrutavarsh Sanganabasappa Kinagi校友 · 本科研究学生 · 2019导师：Brian Kan-Wing MAK	—	Helen — AI 唇读无障碍设备
LEVIERO校友 · 本科研究学生 · 2015导师：Brian Kan-Wing MAK	—	Leap Motion 手势辅助触摸屏
Andrianto Li校友 · 本科研究学生 · 2015导师：Brian Kan-Wing MAK	—	Leap Motion 手势辅助触摸屏
Leung Ka Chun校友 · 本科研究学生 · 2016导师：Brian Kan-Wing MAK	—	Leap Motion 手语转语音
Cheung Yat Laam校友 · 本科研究学生 · 2016导师：Brian Kan-Wing MAK	—	Leap Motion 手语转语音
To Wun Yin校友 · 本科研究学生 · 2016导师：Brian Kan-Wing MAK	—	Leap Motion 手语转语音
Tam Chi Yan校友 · 本科研究学生 · 2016导师：Brian Kan-Wing MAK	—	Leap Motion 手语转语音
Gupta Akanksha校友 · 本科研究学生 · 2017导师：Brian Kan-Wing MAK	—	Text-to-Sign: English Text to American Sign Language
Arshad Mohammed Arslan校友 · 本科研究学生 · 2017导师：Brian Kan-Wing MAK	—	Text-to-Sign: English Text to American Sign Language
Fesci Onur校友 · 本科研究学生 · 2017导师：Brian Kan-Wing MAK	—	Text-to-Sign: English Text to American Sign Language
Borar Sheetal校友 · 本科研究学生 · 2017导师：Brian Kan-Wing MAK	—	Text-to-Sign: English Text to American Sign Language
Zhe Niu校友 · PhD Student · 毕业于 2026导师：Brian Kan-Wing MAKCSE	2026 The Hong Kong University of Science and Technology PhD
Ronglai Zuo校友 · PhD Student · 毕业于 2024导师：Brian Kan-Wing MAKCSE	2024 The Hong Kong University of Science and Technology PhD
Chun Fung Ranzo Huang校友 · MPhil Student · 毕业于 2023导师：Brian Kan-Wing MAKCSE	2023 The Hong Kong University of Science and Technology MPhil
Albert C. S. Chung校友 · MPhil Student导师：Helen C. SHEN	The Hong Kong University of Science and Technology MPhil 2001 University of Oxford PhD	Professor, HKUST CSE

产业合作与实习机构

01.AI

1 位教师 · 1 条合作与实习记录

Huamin QU成员实习与工作经历
XUE Haiwei · 硕士阶段 · Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern

2x4 Beijing

1 位教师 · 1 条合作与实习记录

Huamin QU成员实习与工作经历
MA Hanlu · Designer

4Paradigm

1 位教师 · 1 条合作与实习记录

Song GUO成员实习与工作经历
Fangqi Zhu · 2023-04–2023-12 · Research Intern（入读 HKUST PhD 前）

4th Paradigm

1 位教师 · 1 条合作与实习记录

Qiang YANG创业
个人主页列为公司共同创办人。

A*STAR

1 位教师 · 1 条合作与实习记录

Chaojian LI成员实习与工作经历
Tiancheng Zhao · 2025 Fall · Student Researcher

ACCESS

1 位教师 · 1 条合作与实习记录

Tim Kwang-Ting CHENG成员实习与工作经历
Shucheng Du · 2025 年入读博士前 · 成员自述本科毕业后在 ACCESS 实习。

Adaptive Machines, Inc

1 位教师 · 1 条合作与实习记录

Arpit NARECHANIA资助研究项目
提升用户对 AI 数据分析的信任；负责人；2026–

Adobe

8 位教师 · 15 条合作与实习记录

Jiaya JIAAdobe Research · 研究合作
2007 年合作研究
Jiaya JIAAdobe Systems Incorporated · 资助研究项目
Generative AI；负责人；2025–
Qifeng CHENAdobe Systems Incorporated · 资助研究项目
视觉智能基础研究；负责人；2023–
Qifeng CHENAdobe Research · 成员实习与工作经历
Zifan Shi · 2023-05–2023-08 · Research Scientist Intern；HKUST 博士阶段；2023-10–2024-03 另赴 Stanford 访问；Research Scientist Intern
Qifeng CHENAdobe Research · 成员实习与工作经历
Jingye Chen · 2024-04–2024-08 · Research Intern；MSRA 首段与 JHU 在博士入学前；2022-12 起 MSRA、Adobe 和 Canva 经历在 HKUST 博士阶段；Research Intern
Qifeng CHENAdobe Research / Firefly · 成员实习与工作经历
Chenyang Qi · 2024-01–2024-04 · Research Intern；四段实习均发生在 2024 年博士毕业前；Research Intern
Arpit NARECHANIAAdobe Research · 研究实习与产品转化
2021–2023 实习；CV 记载数据准备研究进入 Adobe 产品与 Adobe Sneaks
Arpit NARECHANIAAdobe Systems Incorporated · 资助研究项目
人机协作的生成式用户界面；负责人；2026–
Yinghao XUAdobe Research · 成员实习与工作经历
Shangzhan Zhang · 2025 · Research Intern · 导师 Zifan Shi、Kalyan Sunkavalli。
Sai-Kit YEUNGAdobe Research · 成员实习与工作经历
Mikaela Angelina Uy · PhD at Stanford · 本人主页明确列为 Stanford 博士期间的 research internship。
Sai-Kit YEUNGAdobe Research · 成员实习与工作经历
Mikaela Angelina Uy · 博士期间 · Research Intern
Anyi RAO研究资助
2024 年 Adobe gift fund，2026 年主持人工智能研究项目。
Yu-Wing TAIAdobe Research, Seattle · 成员实习与工作经历
Ziyang Mai · 2026-06–2026-09 · PhD at Dartmouth · 博士期间研究实习，导师为 Yijun Li、Soo Ye Kim、Zhe Lin。；Research Scientist Intern
Dit-Yan YEUNGAdobe Research · 成员实习与工作经历
Zifan Vivian Shi · 2023-05–2023-08 · PhD · Research Scientist Intern，导师 Zhixin Shu。；Research Intern
Dit-Yan YEUNGAdobe Research · 成员实习与工作经历
Zifan Vivian Shi · Research Scientist

AI Chip Center for Emerging Smart Systems (ACCESS)

1 位教师 · 1 条合作与实习记录

Tim Kwang-Ting CHENG成员实习与工作经历
Shucheng Du · 2024 年本科毕业后、2025 年博士入组前 · Research Intern

Alibaba

17 位教师 · 28 条合作与实习记录

Xiaofang ZHOU成员实习与工作经历
Weijie Shi · 2025-05–2025-08 · Intern（PhD 期间）
Song GUO成员实习与工作经历
Jian Liu · 2021-08–2021-10 · Software Dev Engineer Intern（入读 HKUST PhD 前）
Song GUOAlibaba DAMO Academy, Vision Technology Lab · 成员实习与工作经历
Bohai Gu · 2024-01–2024-09 · Research Intern（硕士毕业及转入 HKUST 阶段）
Yike GUOAlibaba Tongyi Wan · 成员实习与工作经历
LIU, Xinyu · 2025-05–2025-12 · Research Intern；HKUST 博士阶段；Research Intern
Bo LIAlibaba (China) Co., Ltd · 资助研究项目
牵头项目 HKUST-Alibaba Joint Lab on Big Data and AI（2024 -）
Huamin QUAlibaba Cloud · 成员实习与工作经历
MA Hanlu · 2023-07 起 · Designer
James Tin-Yau KWOKAlibaba Tongyi Qwen-VL · 成员实习与工作经历
Yunhao Gou · 2026-01– · Research Intern；2022 年起在 HKUST 读博；ByteDance 经历跨越入学时间，Qwen-VL 经历处于博士阶段；Research Intern
Qifeng CHENAlibaba Tongyi Lab · 成员实习与工作经历
Jun Cen · 2022-03–2023-03 · Research Intern；Tongyi 与 MSRA 在博士阶段；Hikvision 在硕士阶段；Alibaba 与 JD 全职工作始于毕业前后；Research Intern
Qifeng CHENAlibaba DAMO Academy · 成员实习与工作经历
Jun Cen · 2024-08–2026-01 · Algorithm Expert
Qifeng CHENAlibaba ATH · 成员实习与工作经历
Jiaqi Tang · Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern
Qifeng CHENAlibaba Tongyi Lab · 成员实习与工作经历
Weihao Yuan · Multimodal Researcher
Yangqiu SONGAlibaba Qwen · 成员实习与工作经历
Wei Fan · 2026-01– · Research Intern；Amazon 与 Qwen 在 HKUST 博士阶段；GZ 实习和 ByteDance 全职经历在博士入学前；Research Intern
Yangqiu SONGAlibaba Alimama · 成员实习与工作经历
Zheye Deng · 2026-01–2026-04 · Research Scientist Intern；2022-09 入读 HKUST；Amazon 与 Alimama 在博士阶段；ByteDance 为本科阶段，Megvii 为本科毕业后的全职经历；Research Scientist Intern
Shuai WANGAlibaba Group, Cluster Management Group · 成员实习与工作经历
Yongkang Zhang · 2020-10–2021-07 · Research Intern
Shuai WANGAlibaba Cloud · 成员实习与工作经历
Dong Chen · 2022-02–2022-08 · Research Intern（本科毕业前后、入读 HKUST 前）
Wei WANGAlibaba (China) Co., Ltd · 资助研究项目
参与项目 HKUST-Alibaba Joint Lab on Big Data and AI（2024 -）
Wei WANGAlibaba Cloud · 成员实习与工作经历
Dong Chen · 2022-02–2022-08 · Research Intern（本科毕业前后、入读 HKUST 前）
Wei WANGAlibaba Cloud · 成员实习与工作经历
Sheng Yao · Research Intern（PhD 期间，主页列当前）
Wei WANGAlibaba Group · 成员实习与工作经历
Wei Gao · Researcher（个人主页列与 HKUST postdoc 并行）
Dan XUAlibaba DAMO Academy · 成员实习与工作经历
Qin Guo · 2024–2025 · Research Intern；Pika 与 Alibaba 主要在硕士阶段；Meituan 经历覆盖博士入学后；Research Intern
Hao CHEN成员实习与工作经历
Siyuan Duan · 2026-01– · Research Intern；个人主页在 2025-10 报告获博士录取；2026-01 起实习；Research Intern
Hao CHENAlibaba DAMO Academy · 成员实习与工作经历
Hai-bo Jin · Senior Algorithm Engineer
Yi R. FUNGAlibaba Tongyi Lab · 成员实习与工作经历
Yuchen Huang · 2025-09– · Research Intern；HKUST 博士阶段；Research Intern
Junxian HEAlibaba DAMO Academy · 成员实习与工作经历
Wei Liu · 2022-07–2023-10 · Research Intern；2024-09 入读 HKUST；TikTok 在博士阶段，上海 AI 实验室与 Alibaba 在硕士阶段；Research Intern
Yuan XIEAlibaba Group · 任职
个人简介列出 Alibaba Group 产业经历。
Xiaomeng LIAlibaba DAMO Academy · 成员实习与工作经历
Xinpeng Ding · 2020-07–2021-07 · Research Intern
Xiaomeng LIAlibaba DAMO Academy · 成员实习与工作经历
Hualiang Wang · 2021-05 · Research Intern
Zili MENG本人研究实习
2021 年秋在 XG Lab 实习，mentor 为 Chen Sun。

Alpha Sherpa Capital

1 位教师 · 1 条合作与实习记录

Yangqiu SONG成员实习与工作经历
Lucas Wun Yu CHAN · Quantitative Research Intern；成员 MPhil 主页所列当前与此前实习；Quantitative Research Intern

Altizure

1 位教师 · 1 条合作与实习记录

Long QUAN联合创办企业
与 HKUST 毕业生共同创办照片三维重建平台

Amazon

2 位教师 · 8 条合作与实习记录

Yangqiu SONGAmazon A9 / Rufus · 访问任职
2022–2026 Visiting Academic Scholar
Yangqiu SONGAmazon Rufus LLM, Palo Alto · 成员实习与工作经历
Wei Fan · 2025-06–2025-12 · Applied Scientist Intern；Amazon 与 Qwen 在 HKUST 博士阶段；GZ 实习和 ByteDance 全职经历在博士入学前；Applied Scientist Intern
Yangqiu SONGAmazon Stores Foundational AI · 成员实习与工作经历
Zheye Deng · 2025-06–2025-12 · Applied Scientist Intern；2022-09 入读 HKUST；Amazon 与 Alimama 在博士阶段；ByteDance 为本科阶段，Megvii 为本科毕业后的全职经历；Applied Scientist Intern
Yangqiu SONGAmazon Rufus, Palo Alto · 成员实习与工作经历
Jiayang Cheng · 2025-06 起 · Applied Scientist Intern；HKUST 博士阶段；Applied Scientist Intern
Yangqiu SONGAmazon Stores Foundational AI · 成员实习与工作经历
Zheye Deng · 2026-05–2026-08 · Applied Scientist Intern；2022-09 入读 HKUST；Amazon 与 Alimama 在博士阶段；ByteDance 为本科阶段，Megvii 为本科毕业后的全职经历；Applied Scientist Intern
Yangqiu SONGAmazon, Palo Alto · 成员实习与工作经历
Jacky Chun Kit Chan · Applied Scientist Intern；NVIDIA 经历覆盖 MPhil 及随后求学阶段；Amazon 为主页所列博士期间当前实习；Applied Scientist Intern
Yangqiu SONGAmazon Web Services AI Lab · 成员实习与工作经历
Jiayang Cheng · Research Intern；HKUST 博士阶段；Research Intern
Dit-Yan YEUNG成员实习与工作经历
Xingjian Shi · Senior Applied Scientist

Amber Group

1 位教师 · 1 条合作与实习记录

Yangqiu SONG成员实习与工作经历
Lucas Wun Yu CHAN · AI Research Intern；成员 MPhil 主页所列当前与此前实习；AI Research Intern

AMD Research

1 位教师 · 1 条合作与实习记录

Yuan XIE任职
2012–2013 年任 Senior Manager and Principal Researcher。

Ant Group

6 位教师 · 14 条合作与实习记录

Huamin QUAnt Research, LingBot · 成员实习与工作经历
Yihao MENG · 2024-06–2026-04 · Research Scientist Intern；HKUST 博士阶段；分别与 Haoqi Fan、Sanja Fidler、Hao Ouyang 和 Yujun Shen 团队合作；Research Scientist Intern
Huamin QU成员实习与工作经历
XUE Haiwei · 硕士阶段 · Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
Charles ZHANG联合研究
主页列 2023 Outstanding Collaboration。
Qifeng CHENAnt Research · 成员实习与工作经历
Zifan Shi · 2022-06–2023-04 · Research Intern；HKUST 博士阶段；2023-10–2024-03 另赴 Stanford 访问；Research Intern
Qifeng CHEN成员实习与工作经历
Zichen Liu · 2024-06– · Research Intern；Ant Group 为 2023 年博士入学后的经历；Apple 为本科毕业当年；Research Intern
Qifeng CHENAnt Research · 成员实习与工作经历
Hao Ouyang · Research Intern；成员个人主页所列经历；Research Intern
Yinghao XUAnt Research · 成员实习与工作经历
Shangzhan Zhang · 2023–2025 · Research Intern · 2023–2025 年导师 Nan Xue、Yujun Shen；2025 年另一段记录列导师 Yinghao Xu。
Yinghao XU成员实习与工作经历
Jiahao Shao · 2024-04–2026-05 · Research Intern，host Yujun Shen；2026-09 入读 HKUST；Robbyant 实习跨入学时间，Ant Group 实习在此前；Research Intern，host Yujun Shen
Yinghao XU成员实习与工作经历
Yihang Chen · 2025-09–2026-07 · Research Intern；浙江大学本科阶段，早于 HKUST 博士入学；Research Intern
Yinghao XU成员实习与工作经历
Yishu Shen · Research Intern；个人主页在 2026 年入学前记录的实习；Research Intern
Yinghao XU成员实习与工作经历
Jiaqi Liao · Research Intern, VLM & WAM Post-training；成员个人主页所列经历；Research Intern, VLM & WAM Post-training
Tristan C. BRAUDAnt Research · 博士研究实习
Changkun Liu 2025-01–06 在蚂蚁研究院实习。
Tristan C. BRAUDAnt Research · 成员实习与工作经历
Changkun Liu · 2025-01–2025-06 · 博士阶段 Research Intern。；Research Intern
Dit-Yan YEUNGAnt Research · 成员实习与工作经历
Zifan Vivian Shi · 2022-06–2023-04 · PhD · Research Intern，导师 Yujun Shen。；Research Intern

Apache IoTDB

1 位教师 · 1 条合作与实习记录

Binhang YUAN成员实习与工作经历
You Peng · 2020-07–2021-07 · Database Assistant Intern（本科期间）

Apple

4 位教师 · 4 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Zichen Liu · 2023-06–2023-08 · Machine Learning Engineer Intern；Ant Group 为 2023 年博士入学后的经历；Apple 为本科毕业当年；Machine Learning Engineer Intern
Dan XUApple AIML · 成员实习与工作经历
Zedong (Jacky) Wang · 2026-03–2026-09 · Research Intern；HKUST 博士阶段；Research Intern
Junxian HEApple MLR, Cupertino · 成员实习与工作经历
Junteng Liu · 2026-04 起 · Research Scientist Intern；HKUST 博士阶段；MiniMax-M1、M2 核心贡献者；Research Scientist Intern
Xiaomeng LI成员实习与工作经历
Sucheng Ren · Research Intern

ASTRI

1 位教师 · 1 条合作与实习记录

Roland T. CHIN任职
2001–2003 年借调担任 Information Technology 副总裁。

AT&T Bell Laboratories

1 位教师 · 1 条合作与实习记录

Tim Kwang-Ting CHENG任职
1988–1993 年的研究任职。

ATI Research

1 位教师 · 1 条合作与实习记录

Pedro SANDER成员实习与工作经历
Joshua Barczak · 2005 夏季 · Research Intern；UMBC 硕士阶段；Research Intern

ATI Research / AMD

1 位教师 · 1 条合作与实习记录

Pedro SANDER任职
2003–2006 从高级软件工程师至 Staff Software Engineer

Autodesk AI Lab

1 位教师 · 2 条合作与实习记录

Sai-Kit YEUNG成员实习与工作经历
Mikaela Angelina Uy · PhD at Stanford · 本人主页明确列为 Stanford 博士期间的 research internship。
Sai-Kit YEUNG成员实习与工作经历
Mikaela Angelina Uy · 博士期间 · Research Intern

AWS AI Lab Shanghai

1 位教师 · 1 条合作与实习记录

Wei WANG成员实习与工作经历
Chaokun Chang · Intern, ML systems

Baidu

3 位教师 · 3 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Yue Ma · Research Intern；成员个人主页所列经历；Research Intern
Junxian HEBaidu China Co., Ltd. · Search and Strategy Department · 成员实习与工作经历
Kashun Shum · 2021-06–2021-09 · Natural Language Processing Intern · 本科期间在北京实习；开发电商搜索排序与 query–document 匹配，使用 ERNIE 改进商品属性检索。
Anyi RAOBaidu Financial Services · 成员实习与工作经历
Yinhan Zhang · 2023-07–2023-11 · NLP Algorithm Intern · 意图识别与金融客服模型。

BBC

1 位教师 · 1 条合作与实习记录

Yike GUO研究合作
官方履历列出的产业研究与咨询合作

Beihang University Hangzhou Innovation Institute

1 位教师 · 1 条合作与实习记录

Song GUO成员实习与工作经历
Dazhao Du · 2023-07–2025-03 · Algorithm Engineer（入读 HKUST 前）

Beijing Academy of Artificial Intelligence (BAAI)

1 位教师 · 1 条合作与实习记录

Junxian HE成员实习与工作经历
Hao Li · 2025-08–2026-01 · Research Intern · 北航硕士期间实习；VLM 后训练与评估。

Beijing Uxsino Software Co., Ltd.

1 位教师 · 1 条合作与实习记录

Xiaojuan MA成员实习与工作经历
Ziqi Pan · 2022-06–2022-08 · Application and Algorithm Developer Intern · 清华本科期间实习；设计并开发可由用户定义的敏感信息识别系统，使用 BERT-BiLSTM-attention-CRF 与机器学习。

Bell Laboratories

1 位教师 · 1 条合作与实习记录

De Kai访问研究
1995 年访问研究经历。

Boeing

2 位教师 · 2 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。
Frederick H. LOCHOVSKY访问研究
1997–1998 年任 Visiting Scientist。

Boson AI

1 位教师 · 1 条合作与实习记录

Dit-Yan YEUNG成员实习与工作经历
Xingjian Shi · Model Development Lead

BYD Auto Industry Company Limited

1 位教师 · 1 条合作与实习记录

Yi R. FUNG资助研究项目
自监督学习与声学场景建模下的多说话人分离与降噪；负责人；2025–

ByteDance

12 位教师 · 18 条合作与实习记录

Xiaofang ZHOU成员实习与工作经历
Xi Zhao · 2025-11–2026-01 · Visiting researcher（PhD 期间）
Song GUOByteDance Seed · 学生实习与论文合作
Fangqi Zhu 2024–2026 在 Robotics、Multimodal 实习；IRASim、WMPO 有 ByteDance 共同作者。
Song GUO成员实习与工作经历
Dazhao Du · 2022-07–2022-11 · Algorithm Engineer Intern（硕士期间）
Song GUOByteDance Seed · 成员实习与工作经历
Fangqi Zhu · 2024-03–2025-09 · Research Intern, Robotics（入读 HKUST 前开始，延续至 PhD 期间）
Song GUOByteDance Seed · 成员实习与工作经历
Fangqi Zhu · 2025-09–2026-05 · Research Intern, Multimodal（PhD 期间）
Huamin QUByteDance Seed · 成员实习与工作经历
Yihao MENG · 2026-08– · Research Scientist Intern；HKUST 博士阶段；分别与 Haoqi Fan、Sanja Fidler、Hao Ouyang 和 Yujun Shen 团队合作；Research Scientist Intern
James Tin-Yau KWOKByteDance AI Lab · 成员实习与工作经历
Yunhao Gou · 2022-01–2023-03 · Research Intern；2022 年起在 HKUST 读博；ByteDance 经历跨越入学时间，Qwen-VL 经历处于博士阶段；Research Intern
Qifeng CHEN成员实习与工作经历
Zifan Shi · 2021-09–2022-05 · Research Intern；HKUST 博士阶段；2023-10–2024-03 另赴 Stanford 访问；Research Intern
Yangqiu SONGByteDance Douyin Data Team · 成员实习与工作经历
Zheye Deng · 2018-06–2018-10 · R&D Engineer Intern；2022-09 入读 HKUST；Amazon 与 Alimama 在博士阶段；ByteDance 为本科阶段，Megvii 为本科毕业后的全职经历；R&D Engineer Intern
Yangqiu SONGByteDance, Shanghai · 成员实习与工作经历
Wei Fan · 2021-07–2022-05 · Software Development Engineer
Yangqiu SONGByteDance Seed VLM · 成员实习与工作经历
Zhaowei Wang · Research Intern；个人主页并列列为 HKUST 在读博士与当前 Seed VLM 实习；Research Intern
Junxian HE成员实习与工作经历
Cheng Wang · 2025-01 起 · Algorithm Engineer Intern；个人主页所列经历，随后列为 ByteDance 在职；Algorithm Engineer Intern
Junxian HEByteDance Seed-Infrastructures · 成员实习与工作经历
Yuxuan Tong · 2025-02– · Research Intern；清华本科阶段；HKUST 访问研究时段为 2023-07–2024-06；Research Intern
Arpit NARECHANIAByteDance, Lark Suite · 成员实习与工作经历
Yanwei Huang · 2021-02–2021-06 · Frontend Engineer Intern · 参与 Lark 前端与 SDK 开发。
Sai-Kit YEUNGByteDance Seed · 成员实习与工作经历
JiaWang Bian · Research Scientist
Xiaomeng LIByteDance Seed · 成员实习与工作经历
Sucheng Ren · Research Intern
Zili MENGByteDance Virtual Network Group · 成员实习与工作经历
Zhewen Yang · 2026-01–2026-08 · PhD Research Intern
Dit-Yan YEUNG成员实习与工作经历
Zifan Vivian Shi · 2021-09–2022-05 · PhD · Research Intern，导师 Yujun Shen。；Research Intern

Canva Research

1 位教师 · 1 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Jingye Chen · 2025-07–2025-11 · Research Intern；MSRA 首段与 JHU 在博士入学前；2022-12 起 MSRA、Adobe 和 Canva 经历在 HKUST 博士阶段；Research Intern

CARIAD (Volkswagen Group)

1 位教师 · 1 条合作与实习记录

Long CHEN成员实习与工作经历
Chong Cheng · 2021-10–2022-03 · Research Intern；个人主页列出跨硕士、博士阶段的经历；LONG Group 将其列为 HKUST (Guangzhou) 访问博士

Carnegie Mellon University LTI

1 位教师 · 1 条合作与实习记录

Junxian HE成员实习与工作经历
Yuxuan Tong · 2024-07–2025-02 · Research Intern；清华本科阶段；HKUST 访问研究时段为 2023-07–2024-06；Research Intern

CC&T Technologies

1 位教师 · 1 条合作与实习记录

Lionel M. NI创业
1998–2001 年共同创办并担任 CEO。

CCF-Tencent

1 位教师 · 1 条合作与实习记录

Hao CHEN资助研究项目
医学多模态基础模型；负责人；2025

China Construction Bank

1 位教师 · 1 条合作与实习记录

Yike GUO历史产业合作
2020 年欧洲科学院访谈中本人列举的中国企业合作对象，合作背景为计算与大数据研究。

China Mobile

1 位教师 · 1 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。

China Telecom TeleAI

1 位教师 · 1 条合作与实习记录

Anyi RAO成员研究经历
Yinhan Zhang 2024-11–2025-11 在 AIGC Research Group 从事视频生成研究。

China Unicom (Hong Kong) Operations Limited

2 位教师 · 2 条合作与实习记录

Xiaofang ZHOU资助研究项目
牵头项目 HKUST-China Unicom Joint Laboratory on Smart Society（2023 - 2026）
Kai CHEN资助研究项目
参与项目 HKUST-China Unicom Joint Laboratory on Smart Society（2023 - 2026）

Cisco

1 位教师 · 1 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。

Compathnion Technology

1 位教师 · 1 条合作与实习记录

Gary Shueng-Han CHAN技术转化
定位、室内导航和 StayHomeSafe 转化项目在导师主页列示。

Credit Suisse, Lausanne

1 位教师 · 1 条合作与实习记录

Xiaojuan MA成员实习与工作经历
Junze Li · 2021-02–2021-07 · Natural Language Processing Intern；MSRA 为 HKUST 博士阶段；Credit Suisse 与 Roche 为 EPFL 硕士阶段；Natural Language Processing Intern

DeepRoute

1 位教师 · 1 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Jiaqi Tang · Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern

Deeproute.ai

1 位教师 · 1 条合作与实习记录

Janet Hui-wen HSIAO研究项目
Fundamental Research on Human Robot Interaction and Psychology，2025-09–2035-08，担任 PI。

DeepSeek

1 位教师 · 1 条合作与实习记录

Junxian HE成员实习与工作经历
Wei Liu · 2026-06– · Coding-agent research

DeepSeek AI

1 位教师 · 1 条合作与实习记录

Junxian HE成员实习与工作经历
Yuzhen Huang · 2026-01– · Research Intern；2024-02 入读 HKUST；DeepSeek 与 TikTok 在博士阶段，WeChat 在入学前；Research Intern

DeepSeek, LLM Alignment Team

1 位教师 · 1 条合作与实习记录

Junxian HE成员实习与工作经历
Junlong Li · 入读 HKUST 前 · Research Intern；主页明确 DeepSeek 在 HKUST 入学前；当前 NVIDIA 实习与 HKUST 博士并列；Research Intern

Dell Technologies

1 位教师 · 1 条合作与实习记录

Xiaomeng LI成员实习与工作经历
Marawan Elbatel · 2021-03–2021-07 · BSc Researcher · 产业资助的本科毕业论文，研究可扩展视频监控与接触追踪。

Deloitte Forensic

1 位教师 · 1 条合作与实习记录

Tsz Him CHEUNG产业实习项目
指导 Data Analytics - Deloitte Forensic，项目页标为 On-going。

DexForce Technology

1 位教师 · 1 条合作与实习记录

Xiaomeng LI成员实习与工作经历
Hui Tang · 2022-02–2022-05 · Research Intern

DJI

1 位教师 · 1 条合作与实习记录

Yangqiu SONG成员实习与工作经历
Yunfan Lu · 2020-07–2021-04 · Algorithm Engineer

Duxiaoman Technology (Beijing) Co., Ltd.

1 位教师 · 1 条合作与实习记录

Yike GUO资助研究项目
金融信贷慢思考大模型；负责人，合作成员 Sirui Han、Dong Lou；2024–

Educational Testing Service

1 位教师 · 1 条合作与实习记录

Xiaojuan MA研究实习
2006–2007 用户体验实习

ETH Zurich Computer Vision Laboratory

1 位教师 · 1 条合作与实习记录

Dan XU成员实习与工作经历
Yucheng Wang · 2023-08–2023-11 · Research Intern；两段均为本科阶段，早于 2024 年博士入学；Research Intern

Ethereum Foundation

1 位教师 · 1 条合作与实习记录

Dimitris PAPADOPOULOS基金会资助
PI，Honest Maximum Extractable Value for Ethereum Block Builders；2024–2026；HK$227,284。

Facebook AI Research

1 位教师 · 1 条合作与实习记录

Junxian HE研究经历
2019

Fidelity Investments Canada

1 位教师 · 1 条合作与实习记录

Binhang YUAN成员实习与工作经历
You Peng · 2022-05–2023-04 · Machine Learning Analytics（本科期间）

Ford

1 位教师 · 1 条合作与实习记录

Arpit NARECHANIA研究合作与系统部署
Georgia Tech 博士阶段汽车系统分析工具已部署到 Ford 生产环境

Fortune Ever Global

1 位教师 · 1 条合作与实习记录

Ling PAN研究项目
2026 年起主持带推理与记忆增强的交互生成视频项目。

Fortune Ever Global Limited

1 位教师 · 1 条合作与实习记录

Long CHEN资助研究项目
增强图像生成以支持多模态推理与理解；负责人；2025–

Fulbright AI Institute, Fulbright University Vietnam

1 位教师 · 1 条合作与实习记录

Sai-Kit YEUNG成员实习与工作经历
Nguyen Truong Hai · 2025-08–2026-08 · Research Assistant in Computer Vision（Google-funded）

Gabi Education Limited

1 位教师 · 1 条合作与实习记录

Huamin QU成员实习与工作经历
FUNG Ka Yan · Founder

GigaAI

1 位教师 · 1 条合作与实习记录

Yike GUO成员实习与工作经历
YANG, Zhiqin · 2024-06–2024-09 · Algorithm Intern；HKUST 博士入学前；Algorithm Intern

GMO-Z.com RUNSYSTEM

2 位教师 · 2 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Trung Kien Pham · 2020-03–2020-05 · AI Intern；本科阶段；早于 2024 年博士入学；AI Intern
Long CHEN成员实习与工作经历
Trung Kien Pham · 2020-03–2020-05 · AI Intern；本科阶段；早于 2024 年博士入学；AI Intern

Goldman Sachs

1 位教师 · 1 条合作与实习记录

Pedro SANDER任职
1997 年夏季系统设计与实现

Google

10 位教师 · 14 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。
Chi-Keung TANG研究资助
CV 列为工业捐赠来源
Nevin Lianwen ZHANGGoogle Cloud AI · 成员实习与工作经历
Li Xiaopeng · 2018 · Research Intern；HKUST 博士阶段（2014–2019）；Research Intern
Qifeng CHENGoogle Research · 成员实习与工作经历
Chenyang Qi · 2023-07–2023-11 · Student Researcher
Qifeng CHEN成员实习与工作经历
Chenyang Qi · 2026– · Research Scientist
Qifeng CHENGoogle Research · 成员实习与工作经历
Hao Ouyang · Research Intern；成员个人主页所列经历；Research Intern
Yangqiu SONG研究实习
2007–2008
Shuai WANGGoogle Asia Pacific Pte Ltd · 资助研究项目
牵头项目 Exploiting and Mitigating Side Channels in AI Infrastructures（2023 - 2024）
Sai-Kit YEUNGGoogle, Project Starline · 成员实习与工作经历
Mikaela Angelina Uy · PhD at Stanford · 本人主页明确列为 Stanford 博士期间的 research internship。
Sai-Kit YEUNGGoogle, Project Starline · 成员实习与工作经历
Mikaela Angelina Uy · 博士期间 · Research Intern
Tristan C. BRAUDGoogle / Android XR · 博士研究经历
Changkun Liu 2026-01–04 任 Student Researcher，2025-06 在 Android XR 做邀请报告。
Tristan C. BRAUD成员实习与工作经历
Changkun Liu · 2026-01–2026-04 · 博士阶段 Student Researcher。；Student Researcher
Zili MENG成员实习与工作经历
Hua Meng · 网络与数据中心实习
Dit-Yan YEUNG学生奖学金
Naiyan Wang 于 2014 年获 Google PhD Fellowship in Machine Learning。

Great Victory Legends, Inc.

1 位教师 · 1 条合作与实习记录

Dit-Yan YEUNG成员实习与工作经历
Lap Fai Craig Yu · Co-Founder

GSK

1 位教师 · 1 条合作与实习记录

Yike GUO研究合作
官方履历列出的产业研究与咨询合作

Guangzhou Transcend Information Technology

1 位教师 · 1 条合作与实习记录

Xiaomeng LI联合项目
2025 年起主持基于右心声学造影的卵圆孔未闭 AI 诊疗平台。

Guangzhou Zaidao Information Technology Co., Ltd.

1 位教师 · 1 条合作与实习记录

Huamin QU成员实习与工作经历
Zhonghua Sheng · Co-founder

Hangzhou Rutone Technology Co., Ltd.

1 位教师 · 1 条合作与实习记录

Long CHEN资助研究项目
高效、鲁棒多模态理解与生成；负责人；2025–

Hangzhou Santan Medical Technology

1 位教师 · 1 条合作与实习记录

Xiaomeng LI联合项目
2026 年起主持腔镜手术机器人的高临场感实时视觉感知项目，与 Tim Cheng 合作。

Hikvision

1 位教师 · 1 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Jun Cen · 2020-03–2020-07 · Algorithm Intern；Tongyi 与 MSRA 在博士阶段；Hikvision 在硕士阶段；Alibaba 与 JD 全职工作始于毕业前后；Algorithm Intern

HiThink Research

1 位教师 · 1 条合作与实习记录

Arpit NARECHANIA成员实习与工作经历
Yanwei Huang · 2025-03–2025-08 · Research Intern · 逻辑推理数据合成。

HKGAI

1 位教师 · 1 条合作与实习记录

Yike GUO成员实习与工作经历
YANG, Zhiqin · 2025-08–2025-10 · Algorithm Intern；博士入学当年的经历；Algorithm Intern

HKU NLP

1 位教师 · 1 条合作与实习记录

Yi R. FUNG成员实习与工作经历
Zhennan Shen · 2024-07–2024-09 · Research Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Research Intern

HKUST (Guangzhou), AI Thrust

1 位教师 · 1 条合作与实习记录

Yangqiu SONG成员实习与工作经历
Wei Fan · 2022-06–2022-08 · Research Intern；Amazon 与 Qwen 在 HKUST 博士阶段；GZ 实习和 ByteDance 全职经历在博士入学前；Research Intern

HKUST-Kaisa Joint Research Institute

1 位教师 · 1 条合作与实习记录

Dimitris PAPADOPOULOS联合研究资助
PI，AUTI: A Verifiable and Privacy-Preserving Auditing Platform；Seed Fund；2021–2022；HK$627,000。

HNA

1 位教师 · 1 条合作与实习记录

Yike GUO历史产业合作
2020 年欧洲科学院访谈中本人列举的中国企业合作对象，合作背景为计算与大数据研究。

Hong Kong Design Institute

1 位教师 · 1 条合作与实习记录

Anyi RAO成员实习与工作经历
Tianyi Tony Zhang · 2024-08– · Assistant Lecturer

Hong Kong Observatory

1 位教师 · 1 条合作与实习记录

Long CHEN成员实习与工作经历
Zhenqi He · 2022-01–2023-01 · Research Intern；香港大学本科阶段，早于 HKUST 博士入学；Research Intern

Hong Kong Offshore Liquefied Natural Gas Terminal

1 位教师 · 1 条合作与实习记录

Sai-Kit YEUNG研究项目
参与非干扰海底勘测软体机器鱼项目，2023–2027。

Hong Kong Supernet

1 位教师 · 1 条合作与实习记录

Vincent Y. S. SHEN创业
创办香港首家获牌商业互联网服务提供商，1996 年出售后成为 Pacific Internet。

Hong Kong Tramways

2 位教师 · 2 条合作与实习记录

Hong Kong Tsure Biotechnology Co., Limited

1 位教师 · 1 条合作与实习记录

Hao CHEN资助研究项目
与 Innovation and Technology Fund 联合资助循环肿瘤细胞自动检测与分析平台；负责人；2025–

Horizon Robotics

2 位教师 · 2 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Haoran Song · 2024– · 研发
Long CHEN成员实习与工作经历
Chong Cheng · 2025-08–2026-05 · Research Intern；个人主页列出跨硕士、博士阶段的经历；LONG Group 将其列为 HKUST (Guangzhou) 访问博士

HP

1 位教师 · 1 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。

HSBC Global Services (Hong Kong) Limited

1 位教师 · 1 条合作与实习记录

James Tin-Yau KWOK资助研究项目
与 Innovation and Technology Fund 联合资助实时多模态数字人与知识图谱检索增强系统；负责人；2026–

Huawei

28 位教师 · 43 条合作与实习记录

Xiaofang ZHOUHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 Adaptive Proximity Queries for High-Density Point Cloud Data in Dynamic Environments（2024 -）
Xiaofang ZHOUHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 Optimization of Data Curation for Cost-effective LLM Training（2024 - 2026）
Xiaofang ZHOUHuawei Research Hong Kong · 成员实习与工作经历
Jimmy Kwun Hang Lau · 2025-08–2026-01 · Research Intern（MPhil 阶段后期）
Xiaofang ZHOU成员实习与工作经历
Sherry Sau Lai Yip · 2026-09– · Intern（MPhil 期间）
Song GUOHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 Innovative Architecture Design of GPU/CPU/SSD Multi-Level Collaborative LLM Model（2025 -）
Yike GUO研究合作
官方履历列出的产业研究与咨询合作
Yike GUO历史产业合作
2020 年欧洲科学院访谈中本人列举的中国企业合作对象，合作背景为计算与大数据研究。
Huamin QU成员实习与工作经历
XUE Haiwei · 硕士阶段 · Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。
Charles ZHANG联合研究
主页列 2021、2022 Huawei Distinguished Collaborator。
Charles ZHANGHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 Trustworthy Parallel Software（2023 -）
Charles ZHANGHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 Trustwothiness of Basic Software（2023 -）
Qifeng CHENHuawei ADS · 成员实习与工作经历
Haoran Song · 2021–2024 · Principal Engineer
Xiaojuan MAHuawei Noah’s Ark Lab · 任职
2012–2015 研究员
Dimitris PAPADOPOULOS企业资助
PI，Developing Blockchain-friendly Cryptographic Tools for Private Verifiable Queries；Innovation Research Program OPEN 2018；2019–2020；HK$390,000。
Yangqiu SONGHuawei Noah’s Ark Lab · 访问任职
2012–2013
Yangqiu SONGHuawei Technologies Co., Ltd. · 资助研究项目
知识图谱构建与大模型应用融合（2025–）；智能隐私助手 IPA（2024–，与 Innovation and Technology Fund 联合资助）；负责人
Wei WANGHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 Holistic Approaches to Accelerating Distributed Inference of Large Language Models Phase II（2025 -）
Wei WANGHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 Holistic Approaches to Accelerating Distributed Inference of Large Language Models（2024 - 2025）
Wei WANGHuawei Research Institute · 成员实习与工作经历
Zhifeng Jiang · Intern
Dan XUHuawei Technologies Co., Ltd. · 资助研究项目
面向自动驾驶的四维场景重建，一期 2024–、二期 2025–；负责人
Hao CHENHuawei Hong Kong AI Lab · 成员实习与工作经历
Hao-xuan Che · Principal Researcher
Long CHENHuawei Technologies Co., Ltd. · 资助研究项目
基于扩散模型的视觉理解与生成；负责人；2024–
Yaonan JINHuawei Taylor Lab · 过往任职
曾任 researcher，与 Pinyan Lu 合作。
Arpit NARECHANIAHuawei Technologies Co., Ltd. · 资助研究项目
多模型智能体的生成式用户界面；负责人；2025–
Xiaomin OUYANGHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 Foundation Model-Assisted Complex Sensing and Personalized Feedback on Mobile Devices（2024 - 2026）
Lionel PARREAUXHuawei R&D · 研究工作坊
2024-07 组页记录与 Vladimir Rubanov、Anton Soldatov 围绕 OpenHarmony、ArkTS 的 mini-workshop。
Lionel PARREAUXHuawei Technologies Co., Ltd. · 资助研究项目
牵头项目 No Projects. A Lightweight Type System for Scope and Effect Safety with Complete Bidirectional & Boolean-algebraic Type Inference（2024 -）
Binhang YUANHuawei Canada · 成员实习与工作经历
Chenyue Li · 2022-05–2023-09 · Assistant Engineer, R&D Co-op（本科期间）
Hongbo FUHuawei, Artificial Intelligence Laboratory (Leibniz) · 成员实习与工作经历
Chufeng Xiao · 2025-02– · Senior Researcher
Sai-Kit YEUNGHuawei Hong Kong Research Center · 成员实习与工作经历
Nguyen Truong Hai · 2024-11–2025-04 · AI Research Engineer
Xiaomeng LIHuawei Noah’s Ark Lab · 博士研究实习
Xinpeng Ding 在 2024-05–2025-05 进行研究实习，随后博士毕业、任本组博士后，2026-02 加入西安电子科技大学杭州研究院。
Xiaomeng LIHuawei Noah’s Ark Lab · 成员实习与工作经历
Xinpeng Ding · 2024-05–2025-05 · HKUST 博士期间的研究实习；2025 年博士毕业。；Research Intern
Zili MENG学生奖学金
Hua Meng 获 2025 Huawei PhD Fellowship。
Zili MENG联合项目
2024–2025 主持基于 QoE 的多场景传输加速和调度；2025 年起主持面向 AI 端侧体验的端云传输机制 Phase II。
Zili MENGHuawei, Data Communication · 成员实习与工作经历
Yibin Shen · 2023-06–2023-09 · Information engineer intern
Ling PAN研究项目
2024–2026 主持多样性驱动强化学习的大语言模型对齐、泛化与性能改进。
Ling PANHuawei 2012 Labs · 成员实习与工作经历
Yili Jin · 2020-10–2021-05 · Software Development Intern
Qijia SHAO联合项目
2025 年起主持 Continuous User State Monitoring via Ubiquitous Sensing，研究持续用户状态感知。
Zhenguo LI任职
Noah’s Ark Lab 的 AI Theory Lab 主任与 Principal Researcher。
Qiang YANG研究实验室
2012–2014 年为 Noah’s Ark Lab 创始主任。
Dit-Yan YEUNG学生奖学金
学生页列 Chenhan Jiang 2022、Kai Chen 2020、Meng Qin 2020 获 Huawei PhD Fellowship Award。
Dit-Yan YEUNGHuawei Noah's Ark Lab · 成员实习与工作经历
Chenhan Jiang · 2019-12–2022-06 · Researcher

IBM

2 位教师 · 2 条合作与实习记录

IBM Research

1 位教师 · 1 条合作与实习记录

Frederick H. LOCHOVSKY访问研究
1983 年在 San Jose 研究院任 Visiting Scientist。

IBM Research-China

1 位教师 · 1 条合作与实习记录

Yangqiu SONG任职
2009–2010 Staff Researcher

Imsight Technology Co., Limited

1 位教师 · 1 条合作与实习记录

Hao CHEN资助研究项目
与 Innovation and Technology Fund 联合资助 HER2 FISH 图像定量分析（2023–2025）及多模态 COVID-19 辅助诊断（2022–2024）；负责人

Inception Institute of Artificial Intelligence, Abu Dhabi

1 位教师 · 1 条合作与实习记录

Hao CHEN成员实习与工作经历
Hai-bo Jin · 2019–2021 · Algorithm Engineer

Information Dimensions Incorporated

1 位教师 · 1 条合作与实习记录

Dik-Lun LEE咨询
1992 年休假期间担任技术顾问；该公司后来被 OpenText 收购。

InforSense

1 位教师 · 1 条合作与实习记录

Yike GUO创办企业，历史记录
2020 年本人访谈记述：创办 Imperial College 衍生企业 InforSense，技术用于制药业大数据处理；公司于 2009 年出售。

Innovation and Technology Fund, Qianxin International Co. Limited

3 位教师 · 3 条合作与实习记录

Institute of Computing Technology, Chinese Academy of Sciences

1 位教师 · 1 条合作与实习记录

Arpit NARECHANIA成员实习与工作经历
Xiaoyu Wang · Research Intern · 研究导师 Tengxiang Zhang。

Intel

2 位教师 · 2 条合作与实习记录

Huamin QU成员实习与工作经历
LI Haobo · 两年以上，博士入学前 · Industry experience
Yuan XIE联合实验室
2026 年成立 HKUST–Intel Joint Laboratory，开展高能效近存计算架构与软硬件协同研究。

Intel Asia-Pacific R&D

1 位教师 · 1 条合作与实习记录

Tristan C. BRAUD成员实习与工作经历
Changkun Liu · 2020-06–2021-05 · 研发经历

International Digital Economy Academy

1 位教师 · 1 条合作与实习记录

Song GUO成员实习与工作经历
Fangqi Zhu · 2022-09–2023-03 · Research Intern, DataStory AI Lab（入读 HKUST PhD 前）

Internet MPAS / eCyberPay.com

1 位教师 · 1 条合作与实习记录

Vincent Y. S. SHEN创业
1999 年共同创办 Web 小额支付公司，后来由 Vertex Group 收购。

Jane Street

1 位教师 · 1 条合作与实习记录

Jiasi SHEN成员实习与工作经历
Pavel Hudec · 2020-07–2020-09 · Quantitative Trading Intern · 远程参与 London 团队，研究交易量与波动率模型。

Jazzyear

1 位教师 · 1 条合作与实习记录

Huamin QU成员实习与工作经历
CAO Yifan · 读博前 · Journalist / Editor

JD Explore Academy

1 位教师 · 1 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Jun Cen · 2026-02– · Researcher

JD Health TGT Project

1 位教师 · 1 条合作与实习记录

Hao CHEN成员实习与工作经历
Su-nan He · 2026-04– · Research Intern；JD Health 在 HKUST 博士阶段；MSRA、Tencent 为博士入学前经历；Research Intern

JD Retail

1 位教师 · 1 条合作与实习记录

Anyi RAO成员实习与工作经历
Yinhan Zhang · 2023-11–2024-04 · MLLM Algorithm Intern · 商品匹配、难负例挖掘、属性对齐。

JD.com

1 位教师 · 1 条合作与实习记录

Yuan XIE实验室合作伙伴
FACT Lab 的 Sponsors & Partners 列出 JD.com。

JD.com JoyAI

1 位教师 · 1 条合作与实习记录

Yi R. FUNG成员实习与工作经历
Zhennan Shen · 2025-12–2026-04 · Research Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Research Intern

Johns Hopkins University

1 位教师 · 1 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Jingye Chen · 2021-04–2021-09 · Summer Intern；MSRA 首段与 JHU 在博士入学前；2022-12 起 MSRA、Adobe 和 Canva 经历在 HKUST 博士阶段；Summer Intern

JP Morgan

1 位教师 · 1 条合作与实习记录

Xiaofang ZHOU成员实习与工作经历
Elton Chun Chai Li · 2025-10–2026-04 · Intern（MPhil 期间）

Kakao Recommendation Team

1 位教师 · 1 条合作与实习记录

Ling PAN成员实习与工作经历
Taeyoung Yun · 2021-03–2021-08 · Intern

Khosla Labs

1 位教师 · 1 条合作与实习记录

Arpit NARECHANIA任职
2015–2018 Full Stack Data Scientist

Kimi

1 位教师 · 2 条合作与实习记录

Dongdong SHE学生实习
Yuchong Xie 在 RL team 实习。
Dongdong SHE成员实习与工作经历
Yuchong Xie · Research Intern, RL team

Kimi (Moonshot AI)

2 位教师 · 2 条合作与实习记录

Yi R. FUNG成员实习与工作经历
Zhaochen Su · 2025-08– · Agent Research Intern
Junxian HE成员实习与工作经历
Zhaochen Su · 2025-08– · Agent Research Intern · 研究长时程通用工具使用智能体；个人主页列出参与 Kimi K2 Thinking、K2.5、K2.6、K2.7 和 K3。

Koln 3D Medical Manufacture

1 位教师 · 1 条合作与实习记录

Xiaomeng LI联合项目
2023 年起主持 Auto-Bone，从 X-ray 自动重建三维模型并支持骨科植入物 3D 打印。

KPMG

1 位教师 · 1 条合作与实习记录

Yike GUO研究合作
官方履历列出的产业研究与咨询合作

Kuaishou

3 位教师 · 3 条合作与实习记录

Chi-Keung TANG研究资助
CV 列为工业捐赠来源
Zili MENG成员实习与工作经历
Hua Meng · 2021–2024 · 视频与音频编辑工程
Yu-Wing TAI任职
2020–2023 年任视频技术 Senior Research Director。

Kuaishou Kling

1 位教师 · 1 条合作与实习记录

Yike GUO成员实习与工作经历
LIU, Xinyu · 2026-03–2026-07 · Research Intern；HKUST 博士阶段；Research Intern

Lenovo AI Lab

1 位教师 · 1 条合作与实习记录

Xiaomeng LI成员实习与工作经历
Chuang Zhao · 2022-05–2023-08 · Research Intern

Liska Biometry Inc.

1 位教师 · 1 条合作与实习记录

Song GUO创办企业
CV 列 co-founder、chief architect，2001–2006。

Lumovia

1 位教师 · 1 条合作与实习记录

Arpit NARECHANIA联合创办企业
2018–2019 AR、5G 物理教育创业

Lyft Level 5

1 位教师 · 2 条合作与实习记录

Sai-Kit YEUNG成员实习与工作经历
Quang-Hieu Pham · 2020-02 起 · 本人主页宣布加入实习。；Research Intern
Sai-Kit YEUNG成员实习与工作经历
Quang-Hieu Pham · 2021-05 起 · Software Engineer

M-Labs

1 位教师 · 1 条合作与实习记录

Lionel PARREAUX学生资助
David Mak 的 PhD 由 M-Labs 资助。

MCC

1 位教师 · 1 条合作与实习记录

Vincent Y. S. SHEN任职
1985 年加入研究联盟，后来领导约 60 人的 Software Technology Program。

Megvii

1 位教师 · 1 条合作与实习记录

Dan XU成员实习与工作经历
Yang Cao · 2019-04–2019-07 · Research Intern；2019 年个人主页所列经历；Research Intern

Megvii Infrastructure Team

1 位教师 · 1 条合作与实习记录

Yangqiu SONG成员实习与工作经历
Zheye Deng · 2020-07–2022-08 · R&D Engineer

Megvii Research

1 位教师 · 1 条合作与实习记录

Song GUO成员实习与工作经历
Jian Liu · 2022-05–2023-08 · Research Intern（入读 HKUST PhD 前）

Meituan

2 位教师 · 2 条合作与实习记录

James Tin-Yau KWOK成员实习与工作经历
Weisen Jiang · 2015–2017 · Engineer
Dan XU成员实习与工作经历
Qin Guo · 2025–2026 · Research Intern；Pika 与 Alibaba 主要在硕士阶段；Meituan 经历覆盖博士入学后；Research Intern

Meituan Academy of Robotics Shenzhen

1 位教师 · 1 条合作与实习记录

Fangzhen LIN资助研究项目
仓库机器人群的路径规划与任务分配；负责人；2024–2025

Meituan, Intelligent Vision Department

1 位教师 · 1 条合作与实习记录

Long CHEN成员实习与工作经历
Jianyu Lai · 2025-06–2026-02 · Research Intern；HKUST (Guangzhou) MPhil 阶段，早于清水湾博士阶段；Research Intern

Meridian Innovation, HKSTP

1 位教师 · 1 条合作与实习记录

Huamin QU成员实习与工作经历
FANSEU KAMHOUA, Barakeel · Software Engineer, R&D

Meta GenAI

1 位教师 · 1 条合作与实习记录

Dit-Yan YEUNG成员实习与工作经历
Junjie Wu · 2025-06–2026-01 · PhD · 本人履历列为 Research Scientist Intern。；Research Intern

Meta Reality Labs

2 位教师 · 2 条合作与实习记录

Sai-Kit YEUNG成员实习与工作经历
Quang-Hieu Pham · 2020-08 起 · 本人主页宣布加入实习。；Research Intern
Anyi RAO本人研究实习
加入 HKUST 前曾在 Meta Reality Labs 实习。

MetaX Integrated Circuits (Shanghai) Co, Ltd.

4 位教师 · 4 条合作与实习记录

Xiaofang ZHOU资助研究项目
牵头项目 HKUST-MetaX Joint Laboratory for Advanced AI Computing（2024 -）
Song GUO资助研究项目
参与项目 HKUST-MetaX Joint Laboratory for Advanced AI Computing（2024 -）
Kai CHEN资助研究项目
参与项目 HKUST-MetaX Joint Laboratory for Advanced AI Computing（2024 -）
Binhang YUAN资助研究项目
参与项目 HKUST-MetaX Joint Laboratory for Advanced AI Computing（2024 -）

Microsoft

26 位教师 · 41 条合作与实习记录

Lei CHENMicrosoft Research Asia · 资助研究项目
牵头项目 A Deep Learning Algorithm for Aging Prediction Based on Plasma Protein（2022 - 2024）
Lei CHENMicrosoft Research Asia · 资助研究项目
牵头项目 EXPLAINABLE AI: A Hybrid Approach with Visualization, Model, Knowledge and Metamorphic Relation（2020 - 2024）
Shing-Chi CHEUNGMicrosoft Research Asia · 资助研究项目
参与项目 EXPLAINABLE AI: A Hybrid Approach with Visualization, Model, Knowledge and Metamorphic Relation（2020 - 2024）
Yike GUOMicrosoft Research Asia · 成员实习与工作经历
CHENG, Sitong · 2021-02–2021-05 · Industry experience；BUPT 本科阶段；Industry experience
Jiaya JIAMicrosoft Research · 访问研究
2003–2004 访问研究
Huamin QUMicrosoft Research Asia · 资助研究项目
可视化、模型、知识与蜕变关系结合的可解释 AI；参与；2020–2024
Huamin QUMicrosoft Research Asia · 成员实习与工作经历
XUE Haiwei · 硕士阶段 · Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
Qian ZHANGMicrosoft Research Asia · 资助研究项目
牵头项目 Developing an AI-Driven Cognitive Assessment Tool Utilizing Visual Stimuli（2025 - 2026）
Qian ZHANGMicrosoft Research Asia · 资助研究项目
牵头项目 HKUST-Microsoft MoE Key Joint Laboratory（2024 - 2026）
Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。
Pedro SANDERMicrosoft Research · 研究实习
2000、2001、2002 年夏季图形研究实习
Pedro SANDERMicrosoft DirectX · 研究实习
1998 年夏季测试软件工程实习
Chi-Keung TANGMicrosoft Research Asia · 访问任职
2007–2008 Visual Computing Group sabbatical
Qifeng CHENMicrosoft Research Asia · 成员实习与工作经历
Jingye Chen · 2022-02–2022-07；2022-12–2024-02；2024-11–2025-07 · Research Intern；MSRA 首段与 JHU 在博士入学前；2022-12 起 MSRA、Adobe 和 Canva 经历在 HKUST 博士阶段；Research Intern
Qifeng CHENMicrosoft Research Asia · 成员实习与工作经历
Chenyang Qi · 2022-06–2022-12 · Research Intern；四段实习均发生在 2024 年博士毕业前；Research Intern
Qifeng CHENMicrosoft Research Asia · 成员实习与工作经历
Runyi Yu · Research Intern；成员个人主页所列经历；Research Intern
Qifeng CHENMicrosoft Research Asia · 成员实习与工作经历
Hao Ouyang · Research Intern；成员个人主页所列经历；Research Intern
Xiaojuan MAMicrosoft Research Asia · 资助研究项目
面向协作工作与交流的 Agentic Media；负责人；2026–
Xiaojuan MAMicrosoft Research Asia, Beijing · 成员实习与工作经历
Junze Li · 2026-02–2026-05 · Research Intern；MSRA 为 HKUST 博士阶段；Credit Suisse 与 Roche 为 EPFL 硕士阶段；Research Intern
Yangqiu SONGMicrosoft Research Asia · 任职
2010–2012 Associate Researcher
Shuai WANGMicrosoft Research Asia, Networking Research Group · 成员实习与工作经历
Yongkang Zhang · 2020-07–2020-10 · Research Intern
Wei WANGMicrosoft Research Asia · 成员实习与工作经历
Tianyuan Wu · 2022–2023 · Research Intern（2024 入读 PhD 前）
Wei WANGMicrosoft Research Asia · 成员实习与工作经历
Yuheng Zhao · Research Intern（本科期间）
Wei WANGMicrosoft Shanghai · 成员实习与工作经历
Chaokun Chang · Intern
Wei WANGMicrosoft Research Asia · 成员实习与工作经历
Lingyun Yang · Research Intern（本科期间，一年）
Hao CHENMicrosoft Research Asia AI4Science · 成员实习与工作经历
Su-nan He · 2023-01–2023-07 · FA Talent
Junxian HEMicrosoft Research Asia, NLC · 成员实习与工作经历
Junlong Li · Research Intern；主页明确 DeepSeek 在 HKUST 入学前；当前 NVIDIA 实习与 HKUST 博士并列；Research Intern
Arpit NARECHANIAMicrosoft Research · 研究实习
2020 年研发用于检查和修复 Human-AI 对话错误的技术
Lionel M. NIMicrosoft Research Asia · 联合实验室
2004-11–2014-12 任 HKUST 中国教育部 / Microsoft Research Asia IT Key Lab 主任。
Hongbo FUMicrosoft Research Asia, Machine Learning Group · 成员实习与工作经历
Songlin Yang · 本人履历列出的 Research Intern 经历。；Research Intern
Xiaomeng LIMicrosoft Research Asia · 成员实习与工作经历
Sucheng Ren · Research Intern
Zili MENG成员实习与工作经历
Hua Meng · 网络与数据中心实习
Ling PANMicrosoft Research Asia · 奖学金
Ling Pan 获 2020 Microsoft Research PhD Fellowship；访问校友 Yili Jin 有两段 MSRA 研究实习。
Ling PANMicrosoft Research Asia · 成员实习与工作经历
Yili Jin · 2022-06–2023-02 · Research Intern
Ling PANMicrosoft Research Asia · 成员实习与工作经历
Yili Jin · 2025-08–2025-11 · Research Intern
Anyi RAOMicrosoft Research Asia · 成员实习与工作经历
Songlin Yang · Research Intern
Qijia SHAOMicrosoft Research Asia · 成员经历
Jiting Liu 在入读本组 PhD 前于 2024 年担任 MSRA Research Assistant。
Qijia SHAOMicrosoft Research Asia · 成员实习与工作经历
Jiting Liu · 2024 · Research Assistant
Yu-Wing TAIMicrosoft Research Asia · 本人博士实习
2007-09–2008-06 年全职学生实习。
Dit-Yan YEUNGMicrosoft Research Asia / Baidu · 学生奖学金
Hao Wang 于 2015 年获 Microsoft Research Asia Fellowship Award、Baidu Scholarship。
Dit-Yan YEUNGMicrosoft Research Asia, Internet Graphics Group · 成员实习与工作经历
Lap Fai Craig Yu · Research experience

Mila

1 位教师 · 1 条合作与实习记录

Ling PAN成员实习与工作经历
Taeyoung Yun · 2025-06–2025-11 · Research Intern, Yoshua Bengio

MiniMax

2 位教师 · 5 条合作与实习记录

Yi R. FUNG成员实习与工作经历
Zhaochen Su · 2025-06–2025-08 · Post-training Team Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Post-training Team Intern
Yi R. FUNG成员实习与工作经历
Zhennan Shen · 2026-06– · Research Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Research Intern
Junxian HE成员实习与工作经历
Zhaochen Su · 2025-06–2025-08 · Post-training Team Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Post-training Team Intern · 参与 MiniMax-M2。
Junxian HE成员实习与工作经历
Junteng Liu · Research Intern；HKUST 博士阶段；MiniMax-M1、M2 核心贡献者；Research Intern
Junxian HEMiniMax AI · 成员实习与工作经历
Haoze Wu · Agentic RL research

MirrorSpace Technology

1 位教师 · 1 条合作与实习记录

Ling PAN校友创业
访问校友 Yili Jin 于 2026-05 创办，方向为空间智能、具身 AI 与世界模型。

Moonshot AI

1 位教师 · 1 条合作与实习记录

Junxian HE成员实习与工作经历
Wei Liu · 2026-03–2026-05 · Research

Moonshot AI (Kimi)

2 位教师 · 2 条合作与实习记录

Yi R. FUNG成员实习与工作经历
Zhaochen Su · 2025-08– · Agent Research Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Agent Research Intern
Junxian HE成员实习与工作经历
Zhaochen Su · 2025-08– · Agent Research Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Agent Research Intern

Moonshot AI Kimi

1 位教师 · 1 条合作与实习记录

Yi R. FUNG成员实习与工作经历
Zhennan Shen · 2025-03–2025-12 · Agent Training Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Agent Training Intern

MSRA

1 位教师 · 1 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Jun Cen · 2023-08–2024-05 · Research Intern；Tongyi 与 MSRA 在博士阶段；Hikvision 在硕士阶段；Alibaba 与 JD 全职工作始于毕业前后；Research Intern

MTR Academy

1 位教师 · 1 条合作与实习记录

Ling PAN研究项目
2024 年起主持多智能体强化学习用于轻轨自动化项目，与 Hai Yang 合作。

Nanjing Jiangxing Lianjia Intelligent Technology Co Ltd., Nanjing Municipal Science and Technology Bureau

1 位教师 · 1 条合作与实习记录

Qian ZHANG资助研究项目
参与项目 Power equipment diagnosis system based on multimodal fusion large model（2024 - 2026）

Nanyang Technological University MMLab

1 位教师 · 1 条合作与实习记录

Hongbo FU成员实习与工作经历
Songlin Yang · Research Associate

Naver Clova

1 位教师 · 1 条合作与实习记录

Dan XU成员实习与工作经历
Jaehyeok Kim · Research Intern；成员个人主页所列经历；Research Intern

NetEase

1 位教师 · 1 条合作与实习记录

Xiaomeng LI成员实习与工作经历
Chuang Zhao · 2020-12–2022-05 · Research Intern

New World Development

1 位教师 · 1 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。

Nokia Bell Labs

2 位教师 · 4 条合作与实习记录

Shuai WANG成员实习与工作经历
Dong Chen · 2023-06–2023-09 · Research Intern（PhD 期间）
Shuai WANG成员实习与工作经历
Dong Chen · 2024-04–2024-10 · Research Intern（PhD 期间）
Wei WANG成员实习与工作经历
Dong Chen · 2023-06–2023-09 · Research Intern（PhD 期间）
Wei WANG成员实习与工作经历
Dong Chen · 2024-04–2024-10 · Research Intern（PhD 期间）

NVIDIA

5 位教师 · 6 条合作与实习记录

Song GUONVIDIA GEAR · 学生实习
Fangqi Zhu 自 2026-05 研究 robot world models。
Song GUONVIDIA GEAR · 成员实习与工作经历
Fangqi Zhu · 2026-05– · Research Intern, world models（PhD 期间）
Huamin QUNVIDIA Spatial Intelligence Lab · 成员实习与工作经历
Yihao MENG · 2026-05–2026-08 · Research Scientist Intern；HKUST 博士阶段；分别与 Haoqi Fan、Sanja Fidler、Hao Ouyang 和 Yujun Shen 团队合作；Research Scientist Intern
Yangqiu SONGNVIDIA AI Technology Center · 成员实习与工作经历
Jacky Chun Kit Chan · 2022–2024 · Research Intern；NVIDIA 经历覆盖 MPhil 及随后求学阶段；Amazon 为主页所列博士期间当前实习；Research Intern
Junxian HENVIDIA Research, DLER · 成员实习与工作经历
Junlong Li · Research Intern；主页明确 DeepSeek 在 HKUST 入学前；当前 NVIDIA 实习与 HKUST 博士并列；Research Intern
Sai-Kit YEUNGNVIDIA, Learning and Perception Research · 成员实习与工作经历
Mikaela Angelina Uy · Research Scientist

OKX Exchange

1 位教师 · 1 条合作与实习记录

Dimitris PAPADOPOULOS企业资助
PI，Efficient zkDEX – Perpetuals based on new zero-knowledge techniques；2024–2025；HK$780,000。

OpenAI

1 位教师 · 1 条合作与实习记录

Dit-Yan YEUNG成员实习与工作经历
Xingjian Shi · Member of Technical Staff

OPPO AI Center

1 位教师 · 1 条合作与实习记录

Long CHEN成员实习与工作经历
Dingkun Zhang · 2023-09 起 · Research Intern；硕士学生个人主页所列，早于 2025-10 开始的 HKUST 访问经历；Research Intern

Peng Cheng Laboratory

1 位教师 · 1 条合作与实习记录

Xiaofang ZHOU成员实习与工作经历
Zhenjun Huang · 2026-09– · Intern（PhD 期间；PCL Scholarship）

Pfizer

1 位教师 · 1 条合作与实习记录

Yike GUO研究合作
官方履历列出的产业研究与咨询合作

Pika Labs

1 位教师 · 1 条合作与实习记录

Dan XU成员实习与工作经历
Qin Guo · 2024 · Research Intern；Pika 与 Alibaba 主要在硕士阶段；Meituan 经历覆盖博士入学后；Research Intern

Pivotal Research

1 位教师 · 1 条合作与实习记录

Xiaomeng LI成员实习与工作经历
Xinyue Xu · 2026 · AI Safety Fellow

Protocol Labs

1 位教师 · 1 条合作与实习记录

Dimitris PAPADOPOULOS研究捐赠
CI，Adaptive VCBF and Applications to Proof of Space；2022；US$50,000。

Pyoh Technology

1 位教师 · 1 条合作与实习记录

Anyi RAO成员实习与工作经历
Yinhan Zhang · 2024– · 编程教育硬件创业项目

Qatar Computing Research Institute

1 位教师 · 1 条合作与实习记录

Arpit NARECHANIA成员实习与工作经历
Eman Ansar · 2023-05–2023-07 · AI Cybersecurity Research Intern；Carnegie Mellon 本科阶段；AI Cybersecurity Research Intern

Qcraft

1 位教师 · 1 条合作与实习记录

Dan XU成员实习与工作经历
Shaocong Dong · Research Intern；SenseTime 经历跨越硕士毕业与博士入学时间；Research Intern

Qwen

2 位教师 · 4 条合作与实习记录

Junxian HEQwen Team · 成员实习与工作经历
Kashun Shum · 2025-04– · Research Intern · 博士期间在北京实习，由 Binyuan Hui 指导；研究代码智能体的多轮强化学习，参与 Qwen3-Coder 系列。
Dongdong SHE学生实习
Yuchong Xie、Kaikai Zhang 在 foundation-model cyber team 实习。
Dongdong SHE成员实习与工作经历
Yuchong Xie · Research Intern, foundation-model cyber team
Dongdong SHEQwen foundation-model cyber team · 成员实习与工作经历
Kaikai Zhang · Research Intern（PhD 期间，主页列当前）

RaSpect Intelligence Inspection

1 位教师 · 1 条合作与实习记录

Xiaomeng LI联合项目
2023–2025 参与数据有限条件下的建筑外墙缺陷检测模型项目。

RESTITUO

1 位教师 · 2 条合作与实习记录

Anyi RAO学生创业
Tianyi Zhang 自 2025-03 参与 AI 4K 电影修复创业项目。
Anyi RAO成员实习与工作经历
Tianyi Tony Zhang · 2025-03– · AI 4K 影视修复创业项目

Robbyant

1 位教师 · 1 条合作与实习记录

Yinghao XU成员实习与工作经历
Jiahao Shao · 2026-05– · Research Intern，host Yinghao Xu；2026-09 入读 HKUST；Robbyant 实习跨入学时间，Ant Group 实习在此前；Research Intern，host Yinghao Xu

RobbyAnt

1 位教师 · 5 条合作与实习记录

Yinghao XU任职与研发管理
Staff Research Scientist，带领世界模型和具身 AI 研究组；主页同时列研究实习入口
Yinghao XU成员实习与工作经历
Jian Gao · 2025-09– · Research Intern · 导师 Yinghao Xu。
Yinghao XU成员实习与工作经历
Jiacheng Dong · 2026-04– · Research Intern · 导师 Yinghao Xu。
Yinghao XU成员实习与工作经历
Linzhuo Chen · Research Intern · 导师 Yinghao Xu。
Yinghao XU成员实习与工作经历
Shuaiting Li · Research Intern · 导师 Yinghao Xu、Zifan Shi。

Roche

1 位教师 · 1 条合作与实习记录

Yike GUO研究合作
官方履历列出的产业研究与咨询合作

Roche, Shanghai

1 位教师 · 1 条合作与实习记录

Xiaojuan MA成员实习与工作经历
Junze Li · 2019-07–2019-09 · Data Scientist Intern；MSRA 为 HKUST 博士阶段；Credit Suisse 与 Roche 为 EPFL 硕士阶段；Data Scientist Intern

Salesforce Research

1 位教师 · 1 条合作与实习记录

Junxian HE研究经历
2020

Samsung Research America

1 位教师 · 1 条合作与实习记录

Qijia SHAO本人实习与产品算法
2023 年研究 rPPG 血氧估计，获 Samsung A1 patent；CV 记载方法进入手机和电视产品。

Seed

1 位教师 · 1 条合作与实习记录

Dit-Yan YEUNG成员实习与工作经历
Siyuan Zhou · 2025-06 起 · PhD · 本人主页列为 Seed Research Intern。；Research Intern

SenseTime

7 位教师 · 9 条合作与实习记录

Pedro SANDER成员实习与工作经历
Songfang Han · 2017 秋季 · Research Intern；博士学习期间；Research Intern
Qifeng CHEN成员实习与工作经历
Hao Ouyang · Research Intern；成员个人主页所列经历；Research Intern
Dan XU成员实习与工作经历
Yuxin Wang · 2019–2022 · 个人主页所列 2019–2022 年实习及研究经历；Intern / Researcher
Dan XU成员实习与工作经历
Shaocong Dong · 2023-05–2023-09 · Research Intern；SenseTime 经历跨越硕士毕业与博士入学时间；Research Intern
Xiaomeng LI成员实习与工作经历
Hualiang Wang · 2020-12 · Research Intern
Anyi RAO本人和学生实习
本人有 SenseTime 实习经历，Songlin Yang 也记录相关研究实习。
Anyi RAO成员实习与工作经历
Songlin Yang · Research Intern
Yu-Wing TAI任职
2015–2016 年任 Principal Research Scientist，负责移动平台双摄方案。
Dit-Yan YEUNG成员实习与工作经历
Chenhan Jiang · 2018-01–2018-12 · Master · 本人履历列出的硕士阶段 Research Intern 经历。；Research Intern

SenseTime Research, Content Generation Group

1 位教师 · 1 条合作与实习记录

Hongbo FU成员实习与工作经历
Songlin Yang · 本人履历列出的 Research Intern 经历。；Research Intern

SenseTime Research, Identity Verification Group

1 位教师 · 1 条合作与实习记录

Hongbo FU成员实习与工作经历
Songlin Yang · 本人履历列出的 Research Intern 经历。；Research Intern

SenseTime Shanghai

1 位教师 · 1 条合作与实习记录

Song GUO成员实习与工作经历
Sikai Bai · 2022-05–2023-01 · Intern（硕士毕业后、HKUST 入读前）

Sensible Lab Limited

1 位教师 · 1 条合作与实习记录

Dan XU资助研究项目
与 Innovation and Technology Fund 联合资助可编辑三维场景与实时渲染的视频制作；负责人；2025–

Shanghai AI Laboratory

4 位教师 · 11 条合作与实习记录

Song GUOShanghai AI Lab · 学生实习
Tao Han 的 GitHub 个人介绍列当前实习；Jian Liu 列 2023–2024 实习。
Song GUO成员实习与工作经历
Tao Han · 2022-04–2024-01 · Research Assistant, AI4Science（入读 HKUST PhD 前）
Song GUOShanghai AI Lab · 成员实习与工作经历
Jian Liu · 2023-09–2024-07 · Research Intern（入读 HKUST PhD 前）
Song GUOShanghai AI Lab · 成员实习与工作经历
Tao Han · Research Intern（PhD 期间，GitHub 自述）
Song GUO成员实习与工作经历
Xiaocheng Lu · Research Intern, AI4Science（本人简介所列此前经历）
Dan XUShanghai AI Lab · 资助研究项目
无监督三维场景分解的大规模 NeRF 重建；负责人；2023–
Yi R. FUNG成员实习与工作经历
Zhaochen Su · 2023-11–2025-04 · Research Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Research Intern
Junxian HE成员实习与工作经历
Zhaochen Su · 2023-11–2025-04 · Research Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Research Intern · 个人主页列出的研究实习。
Junxian HE成员实习与工作经历
Wei Liu · 2023-11–2024-08 · Research Intern；2024-09 入读 HKUST；TikTok 在博士阶段，上海 AI 实验室与 Alibaba 在硕士阶段；Research Intern
Junxian HEShanghai AI Lab · 成员实习与工作经历
Hao Li · 2024-07–2025-07 · Research Intern · LLM 与 VLM 安全；本科毕业后开始，时间覆盖北航硕士阶段。
Junxian HE成员实习与工作经历
Haoze Wu · Research experience

Shenzhen Annet Information System, Co., Ltd.

2 位教师 · 2 条合作与实习记录

Qifeng CHEN资助研究项目
多模态乳腺癌筛查、诊断与疗效预测；参与；2023–2026
Hao CHEN资助研究项目
多模态乳腺癌筛查、诊断与新辅助化疗效果预测；负责人；2023–2026

Shenzhen Broadcare Medical Robot Co., Ltd.

1 位教师 · 1 条合作与实习记录

Hao CHEN资助研究项目
医学大模型；负责人；2025–。此前合作核磁共振乳腺癌诊断、分型与预后评估项目，2022–2024

Shenzhen RabbitPre Intelligence Technology Co., Ltd.

1 位教师 · 1 条合作与实习记录

Long CHEN资助研究项目
图像与视频生成；负责人；2025–

Shenzhen Yitu Intelligent Technology Co., Ltd

1 位教师 · 1 条合作与实习记录

Hao CHEN资助研究项目
与 Innovation and Technology Fund 联合资助多模态影像引导的肝癌介入消融系统；负责人；2024–

Siemens Corporate Research, Princeton

1 位教师 · 1 条合作与实习记录

Albert Chi-Shing CHUNG成员实习与工作经历
Wai Kong (Max) Law · 2009-03–2009-08 · HKUST 博士阶段实习；2010 年博士毕业；Intern

Signify / Philips Research

1 位教师 · 1 条合作与实习记录

Qijia SHAO本人研究实习
2021 年研究传感器数据处理、概率模型与完整处理流水线，并提交专利。

SJTU X-LANCE

1 位教师 · 1 条合作与实习记录

Yi R. FUNG成员实习与工作经历
Zhennan Shen · 2023-07–2024-07 · Research Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Research Intern

SmartMore

3 位教师 · 3 条合作与实习记录

Jiaya JIA创办企业
2019 年创办，任董事长；CUHK 2023 年公开讲者履历所载。
Qifeng CHEN成员实习与工作经历
Jiaqi Tang · Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern
Dan XU成员实习与工作经历
Yucheng Wang · 2023-11–2024-01 · Research Intern；两段均为本科阶段，早于 2024 年博士入学；Research Intern

Snap Research

2 位教师 · 2 条合作与实习记录

Dan XU成员实习与工作经历
Zhenxing Mi · 2024 · Research Intern；HKUST 博士阶段；Research Intern
Qijia SHAO本人研究实习
2022 年研究 AR/VR motion-to-photon latency，发表 N-euro Predictor。

Sony

1 位教师 · 1 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Jiaqi Tang · Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern

SourceBrella / Ant Group

1 位教师 · 1 条合作与实习记录

Charles ZHANG成果商业化
SourceBrella 于 2020 年被 Ant Group 收购；多位校友参与创办或工程研发。

Starwiz Technology Co. Ltd / Stellerus Technology Limited

1 位教师 · 1 条合作与实习记录

Xiaojuan MA资助研究项目
中国空间站温室气体排放源监测；参与；2025–

SUI Foundation

1 位教师 · 1 条合作与实习记录

Dimitris PAPADOPOULOS研究奖助
PI，Verifiable Time-lock puzzles and their Applications in Blockchains；2025–2029；HK$194,592。

Sun Hung Kai Properties

1 位教师 · 1 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。

Suzhou Inston Technology

1 位教师 · 1 条合作与实习记录

Xiaomeng LI联合项目
2024–2025 参与磁电随机存取存储器的存算一体系统项目。

TCL

1 位教师 · 1 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。

TCL Corporate Research (Hong Kong) Co., Limited

1 位教师 · 1 条合作与实习记录

Qifeng CHEN资助研究项目
与 Innovation and Technology Fund 联合资助超分辨率视频增强；负责人；2023–2026

TCL Corporation

1 位教师 · 1 条合作与实习记录

Charles ZHANG资助研究项目
牵头项目 The research and development of MID technology（2012 - 2025）

TeleAI, China Telecom AI Research Institute

1 位教师 · 1 条合作与实习记录

Anyi RAO成员实习与工作经历
Yinhan Zhang · 2024-11–2025-11 · Video Generation Research Intern · 可控人物动作生成、VAST 1.0 基础模型与视频数据管线。

Tencent

21 位教师 · 47 条合作与实习记录

Song GUOTencent Hunyuan3D · 学生实习与产品研发
Jian Liu 参与 Hunyuan3D 2.0、Studio 的 low-poly generation，并与腾讯团队发表 mesh generation 工作。
Song GUOTencent Youtu Lab · 成员实习与工作经历
Jinxiang Lai · 2020–2024 · Computer Vision Algorithm Researcher（2024 入读 HKUST PhD 前）
Song GUOTencent Hunyuan · 成员实习与工作经历
Jian Liu · 2024-08–2025-06 · Research Intern（入读 HKUST PhD 前）
Song GUOTencent Hunyuan · 成员实习与工作经历
Jian Liu · 2025-07–2026-07 · Qingyun Research Intern（2025-09 入读 PhD 前开始，延续至 PhD 期间）
Song GUOTencent PCG · 成员实习与工作经历
Dazhao Du · 2026-03– · Research Intern（PhD 期间）
Song GUOTencent Video · 成员实习与工作经历
Bohai Gu · Research Intern, AI Technology Center
Yike GUOTencent LightSpeed · 成员实习与工作经历
YANG, Zhiqin · 2025-11–2026-02 · Algorithm Intern；HKUST 博士阶段；Algorithm Intern
Huamin QU成员实习与工作经历
XUE Haiwei · 硕士阶段 · Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
Huamin QU成员实习与工作经历
CAO Yifan · 读博前 · Journalist / Editor
Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。
James Tin-Yau KWOK成员实习与工作经历
Weisen Jiang · 2017–2019 · Research Scientist
Chi-Keung TANG研究资助
CV 列为工业捐赠来源
Qifeng CHENTencent AI Lab · 成员实习与工作经历
Chenyang Qi · 2023-01–2023-06 · Research Intern；四段实习均发生在 2024 年博士毕业前；Research Intern
Qifeng CHEN成员实习与工作经历
Chenyang Qi · 2024–2025 · Research Scientist
Qifeng CHENTencent Hunyuan (Multimodal RL) · 成员实习与工作经历
Jiaqi Tang · Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern；Research Intern
Qifeng CHENTencent Hunyuan · 成员实习与工作经历
Yue Ma · Research Intern；成员个人主页所列经历；Research Intern；Research Intern
Qifeng CHEN成员实习与工作经历
Hao Ouyang · Research Intern；成员个人主页所列经历；Research Intern
Yangqiu SONGTencent AI Lab · 资助研究项目
常识推理中的蕴涵关系；负责人；2022–
Yangqiu SONGTencent Multimedia Laboratory · 成员实习与工作经历
Yunfan Lu · 2019-05–2020-02 · Research Intern；加入 KnowComp 博士后前的经历；Research Intern
Yangqiu SONGTencent Lightspeed Studios · 成员实习与工作经历
Qing Zong · 2026-01 起 · Research Intern；HKUST 博士阶段；Research Intern
Yangqiu SONG成员实习与工作经历
Yisen Gao · Qingyun Research Intern；个人主页并列列为 HKUST 在读博士与当前腾讯实习；Qingyun Research Intern
Dan XU成员实习与工作经历
Yuxin Wang · 2025– · Research Intern；SenseTime 为入组前工作；Tencent 为 HKUST 博士阶段；Research Intern
Hao CHENTencent YouTu · 成员实习与工作经历
Su-nan He · 2021-07–2023-01 · Researcher
Hao CHENTencent Jarvis Lab · 成员实习与工作经历
Yi Lin · 博士入学前 · Full-time Researcher
Long CHEN成员实习与工作经历
Chong Cheng · 2026-05– · Qingyun Research Intern；个人主页列出跨硕士、博士阶段的经历；LONG Group 将其列为 HKUST (Guangzhou) 访问博士
Yi R. FUNGTencent Hunyuan, Foundation Model Department · 成员实习与工作经历
Guanyu Jiang · 2026-10– · Qingyun Research Intern；HKUST 博士阶段；Qingyun Research Intern
Junxian HETencent WeChat · 成员实习与工作经历
Yuzhen Huang · 2023-11–2024-01 · Research Intern；2024-02 入读 HKUST；DeepSeek 与 TikTok 在博士阶段，WeChat 在入学前；Research Intern
Chaojian LI成员实习与工作经历
Tiancheng Zhao · 2026 Summer · R&D Intern, WeChat HPC Group
Dongdong SHETencent Hunyuan · 学生实习
Shuangjie Yao、Zesen Liu 实习。
Dongdong SHE成员实习与工作经历
Shuangjie Yao · Research Intern, Hunyuan
Dongdong SHE成员实习与工作经历
Zesen Liu · Research Intern, Hunyuan
Hongbo FUTencent YouTu Lab · 成员实习与工作经历
Jie Zhou · 2019-07–2020-03 · Master · 计算机技术硕士期间研究实习。；Research Intern
Hongbo FU成员实习与工作经历
Yulin Shen · 2026-07– · PhD · 利用空间输入开展可控 3D Gaussian Splatting 生成与编辑。
Hongbo FUTencent Video AI Center · 成员实习与工作经历
Songlin Yang · Student Researcher
Zili MENG系统部署与本人实习
AFR 部署于腾讯云游戏；2020 年在腾讯 Cloud Game Team 实习。
Ling PAN研究项目
2024–2025 主持基于游戏世界模型与 GFlowNets 的通用强化学习智能体项目。
Anyi RAO联合项目
2025 年起主持自然语言驱动的多镜头相机运动可控视频生成项目；Xianghao Kong 与 Songlin Yang 获 Project UP Scholarship。
Anyi RAOTencent Hunyuan · 成员实习与工作经历
Yinhan Zhang · 2024-05–2024-07 · Research Intern · 文图对齐、查询重写、多轮对话图像生成与模型路由。
Anyi RAOTencent Games · 成员实习与工作经历
Yinhan Zhang · 2026-01– · Research Intern · 游戏世界模型。
Anyi RAOTencent LightSpeed · 成员实习与工作经历
Zhuoran Zhao · 2026-03– · Research Intern
Anyi RAOTencent Video AI Center · 成员实习与工作经历
Songlin Yang · Student Researcher
Yu-Wing TAI任职与学生实习
2017–2020 年任 YouTu Research Director；CV 记载招聘超过 30 位学生实习生。
Dit-Yan YEUNGTencent AI Lab, NLP Group · 成员实习与工作经历
Junjie Wu · 2021-06–2024-01 · PhD · Research Intern。；Research Intern
Dit-Yan YEUNGTencent WXG · 成员实习与工作经历
Siyuan Zhou · 2021-09–2021-12 · Undergraduate · 本科阶段 Research Intern。；Research Intern
Dit-Yan YEUNGTencent WeChat AI · 成员实习与工作经历
Junjie Wu · 2024-05–2025-05 · PhD · Research Intern。；Research Intern
Dit-Yan YEUNGTencent Robotics X Lab · 成员实习与工作经历
Siyuan Zhou · 2024-08–2025-06 · PhD · Research Intern。；Research Intern
Dit-Yan YEUNG成员实习与工作经历
Junjie Wu · 2026-02– · Senior Researcher

TikTok AI Innovation Center

1 位教师 · 1 条合作与实习记录

Junxian HE成员实习与工作经历
Hao Li · 2026-03–2026-06 · Research Intern · 北航硕士期间实习；Agentic RL。

TikTok AI Innovation Center, Singapore

1 位教师 · 2 条合作与实习记录

Junxian HE成员实习与工作经历
Yuzhen Huang · 2025-01–2025-12 · Intern Research Scientist；2024-02 入读 HKUST；DeepSeek 与 TikTok 在博士阶段，WeChat 在入学前；Intern Research Scientist
Junxian HE成员实习与工作经历
Wei Liu · 2025-06–2026-02 · Research Scientist Intern；2024-09 入读 HKUST；TikTok 在博士阶段，上海 AI 实验室与 Alibaba 在硕士阶段；Research Scientist Intern

Trumptech Digital Education Services Limited

1 位教师 · 1 条合作与实习记录

Huamin QU资助研究项目
与 Innovation and Technology Fund 联合资助 K–12 计算思维的个性化分析与反馈平台；负责人；2023–2025

Tsinghua Future Lab

1 位教师 · 1 条合作与实习记录

Tristan C. BRAUD成员实习与工作经历
Xiaozhu Hu · 2018、2019 Summer · Research intern

Tsinghua PBCSF

1 位教师 · 1 条合作与实习记录

Long CHEN成员实习与工作经历
Chong Cheng · 2023-09–2024-06 · Research Intern (LLM & Agent)；个人主页列出跨硕士、博士阶段的经历；LONG Group 将其列为 HKUST (Guangzhou) 访问博士

Tsinghua University

1 位教师 · 1 条合作与实习记录

Hongbo FU成员实习与工作经历
Pengfei Xu · 2009-09–2010-01 · Before MPhil · 本科毕业后、MPhil 入学前的研究实习。；Research Intern

Tsinghua University AIR

1 位教师 · 1 条合作与实习记录

Yike GUO成员实习与工作经历
LIU, Xinyu · 2022-04–2023-10 · Research Intern；HKUST 博士入学前；Research Intern

Tsinghua University, AIR

1 位教师 · 1 条合作与实习记录

Yinghao XU成员实习与工作经历
Jiacheng Dong · 2026-01–2026-05 · Research Intern · 导师 Yan Wang。

UC San Diego

1 位教师 · 1 条合作与实习记录

Wei WANG成员实习与工作经历
Zhifeng Jiang · Intern

UMP

1 位教师 · 1 条合作与实习记录

Gary Shueng-Han CHAN研究支持
导师主页列为研究支持企业。

University of Bradford, AIRe Lab

1 位教师 · 1 条合作与实习记录

Xiaomeng LI成员实习与工作经历
Marawan Elbatel · 2020-09–2021-02 · Research Intern · 导师 Daniel Neagu；COVID-19 数据研究。

UQI Tecnology Co., Ltd.

1 位教师 · 1 条合作与实习记录

Qifeng CHEN资助研究项目
计算机视觉与具身智能；负责人；2026–

viAct

2 位教师 · 2 条合作与实习记录

Qifeng CHEN成员实习与工作经历
Trung Kien Pham · 2021-03–2021-08 · AI Trainee；本科阶段；早于 2024 年博士入学；AI Trainee
Long CHEN成员实习与工作经历
Trung Kien Pham · 2021-03–2021-08 · AI Trainee；本科阶段；早于 2024 年博士入学；AI Trainee

VinAI

1 位教师 · 1 条合作与实习记录

Sai-Kit YEUNG成员实习与工作经历
Binh-Son Hua · 2020–2023 · Research Scientist

VinAI Research

1 位教师 · 1 条合作与实习记录

Sai-Kit YEUNG成员实习与工作经历
Nguyen Truong Hai · 2022-03–2022-07 · Research Resident

VIVO Mobile Communication

1 位教师 · 1 条合作与实习记录

Yinghao XU成员实习与工作经历
Shuaiting Li · 2024-03–2025-09 · Research Intern

Voithos Labs

1 位教师 · 1 条合作与实习记录

Binhang YUAN成员实习与工作经历
Chenyue Li · 2023-09–2024-04 · Software Engineer, part-time（本科期间）

WeBank

3 位教师 · 3 条合作与实习记录

Yangqiu SONG联合实验室
HKUST-WeBank Joint Lab 联合主任
Tim Kwang-Ting CHENG联合实验室
HKUST–WeBank Joint Lab 主任。
Qiang YANG任职
2018–2025 年任 Chief AI Officer。

WeBank-HKUST Joint Lab

1 位教师 · 1 条合作与实习记录

Dimitris PAPADOPOULOS联合实验室项目
Co-PI，Federated Learning at Scale: Systems, Security and Applications；2019–2021；HK$2,243,107。

WebEx

1 位教师 · 1 条合作与实习记录

Lionel M. NI联合研究机构
2004-11–2007-02 任 WebEx/HKUST Information Technology Institute 主任。

WeChat

1 位教师 · 1 条合作与实习记录

Qiang YANG顾问与联合实验室
2015–2018 年任首席技术顾问并领导 WeChat–HKUST Joint Research Lab。

WeChat / Tencent

1 位教师 · 1 条合作与实习记录

Kai CHEN联合实验室
Kai Chen 任 WeChat–HKUST Joint Lab for Artificial Intelligence Technology（WHAT Lab）主任。

Well-link

1 位教师 · 1 条合作与实习记录

Zili MENG系统部署
Tooth 在 Well-link Cloud Gaming 部署。

Westwell Holdings (Hong Kong) Limited

1 位教师 · 1 条合作与实习记录

Dan XU资助研究项目
多层停车场 SLAM；负责人；2025–

WiCi

1 位教师 · 1 条合作与实习记录

Zili MENG创业项目
主页介绍 venture-backed startup，围绕 GPU 与 Wi-Fi 的计算基础设施开发。

Woven by Toyota

1 位教师 · 1 条合作与实习记录

Sai-Kit YEUNG成员实习与工作经历
Quang-Hieu Pham · Senior Software Engineer

Xiaomi MiMo

1 位教师 · 1 条合作与实习记录

Yangqiu SONG成员实习与工作经历
Baixuan Xu · 2026-02–2026-09 · Research Intern；HKUST 博士阶段；MiMo-V2.6 系列核心贡献者；Research Intern

Xpeng

1 位教师 · 1 条合作与实习记录

Chaojian LI成员实习与工作经历
Tiancheng Zhao · 2025 Summer · Software Development Intern

Zero Dynamic Medical Technology

1 位教师 · 1 条合作与实习记录

Song GUO创办企业
CV 列 co-founder、chief scientist，2021 起。

Zhejiang ZEEKR Automobile Research and Development Company

1 位教师 · 1 条合作与实习记录

Dan XU资助研究项目
自动驾驶多模态多任务学习、开放世界场景建模与检测；负责人；2023–

Zhenjiang Duoyou Network Technology Co., Ltd.

1 位教师 · 1 条合作与实习记录

Yangqiu SONG资助研究项目
知识图谱游戏行业数据平台联合研发；参与；2021–2024

人工智能（27 位教师）

教师	职称与实验室	主要研究方向
Song GUO郭嵩	Chair Professor and Associate Head Pervasive Intelligence Lab；HKUST Center of Physical AI	Large language model；Physical AI；Machine learning systems
Jiaya JIA賈佳亞	Chair Professor Jiaya Jia 研究组	视觉理解与计算成像；多模态与生成模型；模型推理与 RL
Albert Chi-Shing CHUNG鍾志成	Professor HKUST Research Center for Medical Imaging and Analysis	医学配准；医学分割与泛化；显微图像与恢复
James Tin-Yau KWOK郭天佑	Professor James Kwok 研究组	机器学习与优化；生成和基础模型；时间序列与应用
Fangzhen LIN林方真	Professor Fangzhen Lin 研究组	知识表示与逻辑；程序语义与验证；多智能体与现代推理系统
Nevin Lianwen ZHANG張連文	Professor Nevin L. Zhang 研究组	概率模型与潜结构；可信学习；语言、agent 与生物医学
Qifeng CHEN陳启峰	Associate Professor Qifeng Chen 研究组	视觉生成与编辑；视觉感知与恢复；机器人与自动驾驶
Yangqiu SONG宋陽秋	Associate Professor KnowComp	知识图谱与知识计算；Enterprise data agents；Agent memory 与可信性
Hao CHEN陳浩	Assistant Professor SmartX Lab	大模型与可信医疗 AI；计算病理与多组学；AI for Science 与干预系统
Long CHEN陳隆	Assistant Professor LONG Group	多模态理解与关系；可控生成与编辑；统一模型与 flow matching
Yi R. FUNG馮一人	Assistant Professor MMSense Lab	可信推理与对齐；多模态 agent 与 RAG；社会文化与领域应用
Junxian HE何俊賢	Assistant Professor Junxian He 研究组 / HKUST NLP	语言模型训练与数据；长程推理与智能体
Sehi L'YI李世熙	Assistant Professor VisAI Lab	科学可视化与工具链；Human–AI collaboration 与可解释性；生物医学与无障碍
Yinghao XU徐英豪	Assistant Professor HKUST XU Lab	3D 表示与基础模型；视频世界模型；具身 AI
Zihan ZHANG張子函	Assistant Professor Zihan Zhang 研究组	强化学习理论；在线学习与博弈；凸优化
Tim Kwang-Ting CHENG鄭光廷	Chair Professor Vision and System Design Lab (VSDL)	高效模型、量化与端侧生成；软硬件协同与存算一体；医学视觉与强化学习
Yuan XIE謝源	Chair Professor JC STEM Lab of Future Advanced Computing Technologies (FACT Lab)	AI 系统与近存计算；AI for architecture 与 EDA；跨层计算技术
Janet Hui-wen HSIAO蕭惠文	Professor Attention Brain and Cognition Lab (ABC) / AI Ethics and Governance Lab	计算认知与注意机制；视觉和语言认知；以用户理解为目标的 XAI
Sai-Kit YEUNG楊世傑	Professor Vision, Graphics and Computational Design (VGD) Group	三维视觉与图形学；海洋 AI 与数据基础设施；计算设计与交互系统
Xiaomeng LI李小萌	Associate Professor XMed Lab	跨模态医学图像蒸馏与视网膜疾病诊断；区域感知多模态大语言模型与可解释生物医学系统；开放环境视觉语言目标检测与口腔影像诊断
Ling PAN潘玲	Assistant Professor Intelligent Decision-Making Lab	深度强化学习与可塑性；GFlowNets 与多样性采样；多智能体与智能决策应用
Anyi RAO饒安逸	Assistant Professor Multimedia Creativity Lab / Multimedia Studio	Generative AI；World Models；Computer Vision
De Kai吳德愷	Professor of Engineering Education AI Education Ambassador Senior Lecturer	Artificial intelligence；Human language and music technology；Computational linguistics
Tsz Him CHEUNG張梓謙	Lecturer	数据中心 AI 与数据效率；AI 与编程教育
Lin LI李琳	Research Assistant Professor	Multimodal foundation models；Generative AI；Embodied AI
Changsheng LU盧長勝	Research Assistant Professor	Computer Vision；Machine Learning；Robotics
Zhenguo LI	Adjunct Professor	Machine learning；Generative AI；AI agent

视觉与图形（19 位教师）

教师	职称与实验室	主要研究方向
Jiaya JIA賈佳亞	Chair Professor Jiaya Jia 研究组	视觉理解与计算成像；多模态与生成模型；模型推理与 RL
Huamin QU屈華民	Chair Professor VisLab	可视化与分析；Human-centered AI；创作与跨学科计算媒体
Albert Chi-Shing CHUNG鍾志成	Professor HKUST Research Center for Medical Imaging and Analysis	医学配准；医学分割与泛化；显微图像与恢复
Long QUAN權龍	Professor Computer Vision Group / VisGraph	多视几何与三维重建；生成式空间表征
Pedro SANDER辛達德	Professor Pedro Sander 研究组	实时渲染与图形硬件；神经场与高斯表征；图像视频创作
Chi-Keung TANG鄧智強	Professor Chi-Keung Tang 研究组	视觉理解与分割；图形与三维生成；学习与视觉推理
Qifeng CHEN陳启峰	Associate Professor Qifeng Chen 研究组	视觉生成与编辑；视觉感知与恢复；机器人与自动驾驶
Dan XU徐旦	Associate Professor Dan Xu 研究组	3D 场景理解与重建；结构化与多任务视觉；生成模型
Hao CHEN陳浩	Assistant Professor SmartX Lab	大模型与可信医疗 AI；计算病理与多组学；AI for Science 与干预系统
Long CHEN陳隆	Assistant Professor LONG Group	多模态理解与关系；可控生成与编辑；统一模型与 flow matching
Yinghao XU徐英豪	Assistant Professor HKUST XU Lab	3D 表示与基础模型；视频世界模型；具身 AI
Hongbo FU傅紅波	Professor Hongbo's Group	草图驱动内容创作；可控生成与几何一致性；人机协作与创意工具
Sai-Kit YEUNG楊世傑	Professor Vision, Graphics and Computational Design (VGD) Group	三维视觉与图形学；海洋 AI 与数据基础设施；计算设计与交互系统
Tristan C. BRAUD	Assistant Professor XRIM Lab	Virtual reality (VR) / augmented reality (AR)；Human-computer interaction；Ubiquitous and pervasive computing
Xiaomeng LI李小萌	Associate Professor XMed Lab	跨模态医学图像蒸馏与视网膜疾病诊断；区域感知多模态大语言模型与可解释生物医学系统；开放环境视觉语言目标检测与口腔影像诊断
Anyi RAO饒安逸	Assistant Professor Multimedia Creativity Lab / Multimedia Studio	Generative AI；World Models；Computer Vision
Desmond Yau Chat TSOI蔡友集	Associate Professor of Engineering Education Senior Lecturer Center for Engineering Education Innovation	Computer vision；Image processing；Multimedia technology
Linping YUAN袁林萍	Research Assistant Professor VisLab AR/VR Team	Virtual and augmented reality；Data visualization；Human-computer interaction
Yu-Wing TAI戴宇榮	Adjunct Professor Visual AI Lab @ Dartmouth	Deep learning；Computer vision；Image/video processing

数据与知识（15 位教师）

教师	职称与实验室	主要研究方向
Xiaofang ZHOU周曉方	Otto Poon Professor of Engineering Chair Professor and Head Jockey Club STEM Lab of Data Science Foundations（DSF）；INAIR 等联合实验室	Spatiotemporal and multimedia databases；Data mining；Data quality management
Raymond Chi-Wing WONG黃智榮	Professor and Associate Head	Big data；Data mining；Database systems
Lei CHEN陳雷	Chair Professor Database Research Group；Knowledge Base、ML、Big Graph、Spatial Temporal/Crowdsourcing、Blockchain、DB4AI 子方向	Data-driven machine learning；Crowdsourcing-based data processing；Uncertain and probabilistic databases
Yike GUO郭毅可	Chair Professor Yike Guo 研究组	数据科学与科学应用；音乐与多模态生成；AI for Science 与金融
Qiong LUO羅瓊	Professor Rapids Group；Accord、GALLOP、Star Flow	Big data management；Database systems；Parallel and distributed systems
Dimitris PAPADIAS白德善	Professor	Data management；Algorithms；Graph data management and analytics
Ke YI易珂	Professor hkustDB 相关数据库理论与系统组	Database theory and algorithms；Data security and privacy；Parallel and distributed algorithms
Wilfred Siu-Hung NG吳兆鴻	Associate Professor	Social computing；Web searching；Data analytics
Chaojian LI李朝鑒	Assistant Professor Sponge Computing Lab	Algorithm-hardware co-design；Computer architecture and systems；AI infrastructure and systems
Binhang YUAN袁彬航	Assistant Professor Relaxed System Lab	Data management systems for machine learning；Distributed machine learning systems；Heterogeneous and decentralized foundation-model systems
Lionel M. NI倪明選	Chair Professor	计算系统与普适计算的长期积累；近期视觉生成合作；金融 AI 与评测合作
Arno JACOBSEN	Visiting Professor Middleware Systems Research Group (MSRG)	分布式系统与中间件；云计算与机器学习系统；量子信息与可持续计算
Wai Ting LEUNG梁煒霆	Associate Professor of Engineering Education Senior Lecturer	Information retrieval；Data mining；Data visualization
Cecia Ki CHAN陳祈	Lecturer	Information extraction；Text mining；Big data
Maocheng LI李懋成	Lecturer	Spatial crowdsourcing；Differential privacy；Secure multiparty computation

网络与系统（23 位教师）

教师	职称与实验室	主要研究方向
Song GUO郭嵩	Chair Professor and Associate Head Pervasive Intelligence Lab；HKUST Center of Physical AI	Large language model；Physical AI；Machine learning systems
Bo LI李波	Chair Professor	Large-scale internet content distribution；Peer-to-peer systems；Internet topology
Qian ZHANG張黔	Tencent Professor of Engineering Chair Professor Qian Group；Digital Life Research Center	Computer networking；Wireless systems；Cyber-physical systems
Gary Shueng-Han CHAN陳雙幸	Professor Smart IoT and Sensing Systems Group	Smart sensing and IoT；Cloud and fog/edge AI；Indoor positioning and mobile computing
Kai CHEN陳凱	Professor iSING Lab；WeChat-HKUST Joint Lab（WHAT Lab）	Data center networking；Machine learning systems；Privacy-preserving computing
Mo LI李默	Professor Wireless And Networked Distributed Sensing（WANDS）	Wireless and Mobile Computing；Smart City and Urban Data Analytics；Low Altitude Systems and Communications
Brahim BENSAOU彭卲邦	Associate Professor	Computer networking；Computer systems networking and telecommunications；Data center networks
Wei WANG王威	Associate Professor	Big data；Parallel and distributed systems；Cloud computing
Chaojian LI李朝鑒	Assistant Professor Sponge Computing Lab	Algorithm-hardware co-design；Computer architecture and systems；AI infrastructure and systems
Xiaomin OUYANG歐陽小敏	Assistant Professor Mobile, Intelligent, and Networked System（MINSys）Group	Machine learning for Internet of Things (IoT)；Mobile computing；Smart health
Tim Kwang-Ting CHENG鄭光廷	Chair Professor Vision and System Design Lab (VSDL)	高效模型、量化与端侧生成；软硬件协同与存算一体；医学视觉与强化学习
Lionel M. NI倪明選	Chair Professor	计算系统与普适计算的长期积累；近期视觉生成合作；金融 AI 与评测合作
Yuan XIE謝源	Chair Professor JC STEM Lab of Future Advanced Computing Technologies (FACT Lab)	AI 系统与近存计算；AI for architecture 与 EDA；跨层计算技术
Tristan C. BRAUD	Assistant Professor XRIM Lab	Virtual reality (VR) / augmented reality (AR)；Human-computer interaction；Ubiquitous and pervasive computing
Zili MENG孟子立	Assistant Professor SPARK Lab	Real-time Intelligence & Low-Latency Video Streaming；Computer Networks & Transport Protocols；LLM Systems & Edge Intelligence
Qijia SHAO邵琪佳	Assistant Professor Ubiquitous X Lab	普适计算与织物生理感知；移动人机交互与意图预测；以人为中心的健康AI与多模态大语言模型辅助
Arno JACOBSEN	Visiting Professor Middleware Systems Research Group (MSRG)	分布式系统与中间件；云计算与机器学习系统；量子信息与可持续计算
Cindy Xin LI李昕	Assistant Professor of Engineering Education Senior Lecturer Center for Engineering Education Innovation	Computer networking；Engineering education；Computer architecture
Alex Ngok LAM林岳	Assistant Professor of Engineering Education Lecturer	Computer systems networking and telecommunications；Communication and internet policy；Computer networking
Songfan LI李松璠	Research Assistant Professor Low Altitude Economy Research Center (LAERC)	Wireless Networking；Internet of Things (IoT)；Sensor Networks
Wenjun LYU呂文俊	Research Assistant Professor	Human-centric cyber-physical systems；Embodied intelligence；Human-robot collaboration
Wentao XIE謝文濤	Research Assistant Professor	Ubiquitous computing；Machine learning for sensing systems；Smart healthcare
Jie ZHANG張婕	Research Assistant Professor Pervasive Intelligence Lab (PEI Lab)	Edge AI；Machine Learning Systems；Privacy-Preserving Computing

软件与编程语言（10 位教师）

教师	职称与实验室	主要研究方向
Shing-Chi CHEUNG張成志	Chair Professor CASTLE Research Group	Software testing and analysis；AI and mobile software development；Generative and spreadsheet programming
Fangzhen LIN林方真	Professor Fangzhen Lin 研究组	知识表示与逻辑；程序语义与验证；多智能体与现代推理系统
Qiong LUO羅瓊	Professor Rapids Group；Accord、GALLOP、Star Flow	Big data management；Database systems；Parallel and distributed systems
Charles ZHANG張川	Professor Cybersecurity Laboratory；Clearblue	Program analysis；Software security；Software engineering
Shuai WANG王帥	Associate Professor	Software and system security；Binary-level security techniques；Security and privacy on emerging platforms
Junxian HE何俊賢	Assistant Professor Junxian He 研究组 / HKUST NLP	语言模型训练与数据；长程推理与智能体
Lionel PARREAUX	Assistant Professor TACO Lab — Types, Abstraction, Compilers & Optimization	Type systems；Compiler optimization；Metaprogramming
Dongdong SHE佘東冬	Assistant Professor	Software systems and security；Program analysis and testing；Machine learning
Jiasi SHEN沈嘉思	Assistant Professor Software Automation Research Group	Programming languages；Program analysis；Program transformation
Gibson LAM林傑遜	Assistant Professor of Engineering Education Senior Lecturer	Web services；Multimedia technology；Internet technologies

理论计算机科学（8 位教师）

教师	职称与实验室	主要研究方向
Siu-Wing CHENG鄭紹榮	Professor Theoretical Computer Science Group	Algorithms；Geometry processing；Data structures
Cunsheng DING丁存生	Professor	Coding theory；Combinatorics；Cryptography
Ke YI易珂	Professor hkustDB 相关数据库理论与系统组	Database theory and algorithms；Data security and privacy；Parallel and distributed algorithms
Sunil ARYA安雅信	Associate Professor	Algorithms；Data structures and computational geometry
Yaonan JIN金耀楠	Assistant Professor	Algorithmic game theory；Online algorithms；Combinatorial optimization
Zihan ZHANG張子函	Assistant Professor Zihan Zhang 研究组	强化学习理论；在线学习与博弈；凸优化
Mingxun ZHOU周銘洵	Assistant Professor	Applied cryptography；Differential privacy；Security and privacy in machine learning
Ling PAN潘玲	Assistant Professor Intelligent Decision-Making Lab	深度强化学习与可塑性；GFlowNets 与多样性采样；多智能体与智能决策应用

网络安全（6 位教师）

教师	职称与实验室	主要研究方向
Cunsheng DING丁存生	Professor	Coding theory；Combinatorics；Cryptography
Charles ZHANG張川	Professor Cybersecurity Laboratory；Clearblue	Program analysis；Software security；Software engineering
Dimitris PAPADOPOULOS	Associate Professor	Blockchain security；Computer security；Cryptography
Shuai WANG王帥	Associate Professor	Software and system security；Binary-level security techniques；Security and privacy on emerging platforms
Dongdong SHE佘東冬	Assistant Professor	Software systems and security；Program analysis and testing；Machine learning
Mingxun ZHOU周銘洵	Assistant Professor	Applied cryptography；Differential privacy；Security and privacy in machine learning

人机交互（12 位教师）

教师	职称与实验室	主要研究方向
Huamin QU屈華民	Chair Professor VisLab	可视化与分析；Human-centered AI；创作与跨学科计算媒体
Andrew B. HORNER康立德	Professor Andrew Horner 研究组	计算音乐与声音合成；音乐情绪与感知；AI 混音与 mashup
Xiaojuan MA麻曉娟	Associate Professor Xiaojuan Ma 研究组	Human-engaged AI；对话与机器人；健康、教育、创作与沉浸交互
Sehi L'YI李世熙	Assistant Professor VisAI Lab	科学可视化与工具链；Human–AI collaboration 与可解释性；生物医学与无障碍
Arpit NARECHANIA	Assistant Professor DataVisards	可视化分析与来源追踪；自然语言与 Human-Agent interaction；应用系统
Hongbo FU傅紅波	Professor Hongbo's Group	草图驱动内容创作；可控生成与几何一致性；人机协作与创意工具
Janet Hui-wen HSIAO蕭惠文	Professor Attention Brain and Cognition Lab (ABC) / AI Ethics and Governance Lab	计算认知与注意机制；视觉和语言认知；以用户理解为目标的 XAI
Tristan C. BRAUD	Assistant Professor XRIM Lab	Virtual reality (VR) / augmented reality (AR)；Human-computer interaction；Ubiquitous and pervasive computing
Anyi RAO饒安逸	Assistant Professor Multimedia Creativity Lab / Multimedia Studio	Generative AI；World Models；Computer Vision
Qijia SHAO邵琪佳	Assistant Professor Ubiquitous X Lab	普适计算与织物生理感知；移动人机交互与意图预测；以人为中心的健康AI与多模态大语言模型辅助
De Kai吳德愷	Professor of Engineering Education AI Education Ambassador Senior Lecturer	Artificial intelligence；Human language and music technology；Computational linguistics
Linping YUAN袁林萍	Research Assistant Professor VisLab AR/VR Team	Virtual and augmented reality；Data visualization；Human-computer interaction

Xiaofang ZHOU

周曉方

Otto Poon Professor of Engineering Chair Professor and Head

个人主页 · 学校档案 · 档案

实验室: Jockey Club STEM Lab of Data Science Foundations（DSF）；INAIR 等联合实验室
博士毕业于: The University of Queensland · 1994
研究主线: Spatiotemporal and multimedia databases；Data mining；Data quality management；Big data analytics；Machine learning；Vector/graph retrieval and data selection

累计引用: 21,369次
h-index: 69
2024–2026 论文: 127篇
在组成员: 22人

研究方向

Spatiotemporal and multimedia databases
Data mining
Data quality management
Big data analytics
Machine learning
Vector/graph retrieval and data selection
当前学生项目包含点云检索、vector index、Graph RAG、data selection 与 NL2SQL。

CSIRO 的空间信息、UQ DKE 的数据与知识工程延续至 HKUST；当前学生项目包括点云检索、路径优化、vector index、Graph RAG、数据选择、NL2SQL。近年论文仍同时做查询代数、ANN 索引与图学习。

复杂数据问题驱动，索引算法与 AI 数据基础设施并行

Wolverine 关注动态索引不变量；CRPQ 关注查询计划代数；学生题目将新模型与数据管理结合。

代表论文与近期发表

2024Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively DefensePVLDB

研究问题: 动态攻击会变化，针对固定模式的图防御失效。
核心方法: ADGNN 主动注入 guardian nodes，以梯度优化扰乱攻击并保护脆弱节点。
实验结果: 4 个真实图数据集上有效，并可结合既有被动防御。
实验条件与边界: 依赖可添加 guardian nodes 的平台能力和指定 injective threat model。
课题组研究线: 数据质量/完整性扩展到图学习安全。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Wolverine: Highly Efficient Monotonic Search Path Repair for Graph-based ANN Index UpdatesPVLDB

研究问题: 删除向量会破坏 ANN 图搜索路径与 recall。
核心方法: 修复 monotonic paths；2-hop 限域与候选筛选控制代价。
实验结果: 9 个数据集相对 FreshDiskANN 删除吞吐最高 11 倍，更新中 recall 更稳定。
实验条件与边界: 收益依赖更新负载与图索引；近似搜索的质量条件仍在。
课题组研究线: 从静态检索走向动态 vector database。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2026A Unified Query Planning Framework for Conjunctive Regular Path QueriesPVLDB

研究问题: CRPQ 中 subgraph matching 与 RPQ 优化缺统一计划空间。
核心方法: hypergraph query model、六个核心算子与代数改写，配合 cost-based plan selection。
实验结果: 在 MillenniumDB、Neo4j 上实现，以 WDBench/LDBC SNB 查询评估获得加速。
实验条件与边界: 本文称 near-optimal plan；cost estimation 和实际查询分布影响收益。
课题组研究线: 延续数据库查询规划基础。
核阅章节: Abstract、Introduction（开头）

2024–2026 论文目录（共 127 篇）

2026 年35 篇

2025 年41 篇

2024 年51 篇

实验室与成员

Jockey Club STEM Lab of Data Science Foundations（DSF）；INAIR 等联合实验室

博士生: 14
硕士生: 4
博士后: 3
RA、访问与其他: 1

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Spatiotemporal and multimedia databases；Data mining；Data quality management；Big data analytics；Machine learning；Vector/graph retrieval and data selection

在组成员22

成员	教育背景	研究方向与经历
Jiawei LiPhD · 2023-09–CSE	Jacobs University Bremen	Semantic Search in Large-Scale Point Cloud Databases
Elton Chun Chai LiMPhil · 2024-09–CSE	HKUST	Routing Optimization in Reconfigurable Cargo Networks JP Morgan · Intern（MPhil 期间）2025-10–2026-04
Harry Jounghoon KimMPhil · 2024-09–CSE	the Chinese University of Hong Kong	Indexing and Search in Vector Databases Huawei Fellowship 部分资助
Zhenjun HuangPhD · 2024-09–	Beihang University	Graph RAG Peng Cheng Laboratory · Intern（PhD 期间；PCL Scholarship）2026-09– PCL Scholarship Scheme
Weijie ShiPhD · 2024-09–CSE	Soochow University	Data Selection and Query Diversification for LLM Alibaba · Intern（PhD 期间）2025-05–2025-08
Zhoujin TianPhD · 2024-09–CSE	Beihang University	Advanced Vector Query Processing Huawei Fellowship 部分资助
Junle ChenPhD · 2025-09–CSE	Harbin Institute of Technology	Agentic Travel Planning Using LLMs
Sherry Sau Lai YipMPhil · 2025-09–CSE	HKUST	NL2SQL Huawei · Intern（MPhil 期间）2026-09– 2025-06–08 曾在组内任 RA
Selena SongPhD · 2026-09–CSE	The University of Queensland	2026-02 起曾在组内任 RA
Yongqi LiPhD · 2026-09–CSE	Wuhan University
Zhicheng HuPhD · 2026-09–CSE	UIUC	2026-02 起曾在组内任 RA
Nujibieke ShabuerjiangPhD · 2026-09–CSE	HKUST	2025-04 起曾在组内任 RA
Kehao MiaoPhD · 2026-09–CSE	Nanyang Technological University
David Sheung Yuen ChanMPhil · 2026-09–CSE	PolyU HK
Shiwen WuPhD · 2022–2026CSE	Peking University	Data Matching in the Era of Language Models: From Data Preparation to Data Access
Zizhuo XuPostdoctoral Fellow · 2026-03–Individualized Interdisciplinary Program (Data Science and Analytics)	2021–2026 HKUST PhD Cornell University	博士阶段在广州校区，主导师 Lei Li，Xiaofang Zhou 共同指导
Yue PangPostdoctoral Fellow · 2025-08–	—
Chrysanthi KosyfakiPostdoctoral Fellow · 2025-05–	—
Mengping ShiLab Manager · 2025-12–	—
Chun Chau LiPhDIIP	—	共同指导
Zhengjun HuangPhDCSE	—
Chuang ZhaoPhDECE	—	共同指导

即将加入3

成员	教育背景	研究方向与经历
Erwin Hurtado即将加入 · Incoming PhD · 2027-09 起	Universidad Panamericana
Yichao Liu即将加入 · Incoming PhD · 2027-09 起	Tsinghua University
Ruicheng Li即将加入 · Incoming PhD · 2027-09 起	Tsinghua University

校友与去向165

成员	教育背景	研究方向与经历
Yehong Xu校友 · Postdoc · 2021–2026CSE	2026 HKUST PhD The University of Queensland	Global Routing in Road Networks HKUST as a postdoc.
Xi Zhao校友 · PhD · 2022–2026CSE	2025-06–2025-08 NUS Visiting researcher 2026 HKUST PhD Huazhong University of Science and Technology	Approximate Search in High-dimensional Spaces ByteDance · Visiting researcher（PhD 期间）2025-11–2026-01 ByteDance. HKPFS；2021-09–2022-08 曾在组内任 RA
Jiawen Zhang校友 · PhD · 2021–2026	Chinese Academy of Sciences	Microsoft Research Asia in Singapore. 主导师 Jia Li；2023-08–2024-06 曾访问本组
Zhihan Luo校友 · PhD · 2021–2026	The University of Queensland	AMap (Gao De), a subsidiary of Alibaba. 主导师 Lei Li
Jipeng Zhang校友 · PhD · 2021–2025CSE	2025 HKUST PhD University of Electronic Science and Technology of China	Enhancing Large Language Model via Data-Centric View: Strategies for Selection, Synthesis, and Evaluation Microsoft Research Asia in Singapore. 2023-12 前由 Tong Zhang 指导
Yao Tian校友 · PhD · 2021–2025CSE	2025 HKUST PhD Zhejiang University	Bridging Databases and AI: from Efficient Vector Retrieval to Intelligent Data Systems ByteDance.
Jing Zhao校友 · PhD · 2021–2025CSE	2025 HKUST PhD Soochow University	Just-in-time Predictive Query Processing in Road Networks
Renjie Pi校友 · PhD · 2021–2025CSE	2025 HKUST PhD The University of Hong Kong	Visual Perception Enhanced Multimodal Large Language Models NVIDIA USA. 2023-12 前由 Tong Zhang 指导
Xinjie Zhou校友 · PhD · 2021–2025Individualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD Shanghai Jiao Tong University	Scalable Shortest Path Query Processing on Dynamic Graphs Huawei. 主导师 Lei Li；共同指导
Jianheng Tang校友 · PhD · 2021–2025Individualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD Sun Yat-sen University	Graph-based Anomaly Detection, Similarity Computation, and Reasoning Exploration ByteDance. 与 Jia Li 共同指导；2023-09–2024-07 曾访问本组
Yue Cui校友 · PhD · 2021–2025CSE	2025 HKUST PhD University of Electronic Science and Technology of China	Fairness-alignment in Data-centric Machine Learning: From Regularization to Equilibrium Alibaba.
Boyu Ruan校友 · PhD · 2017–2021	Tsinghua University	Large-scale graph algorithms Researcher at the Hong Kong Huawei Research Center. 2023-07–2024-11 任 STEM Talent Fellow
Mengxuan Zhang校友 · PhD · 2018–2021	Dalian University of Technology	Dynamic index maintenance for road networks and graphs Senior Lecturer at the Australian National University, Australia.
Ruiyuan Zhang校友 · PhD · 2016–2020	Aachen University of Technology	Microgrid Data Analytics researcher at the HK Generative AI Center (HKGAI). 与 UQ Power Engineering 的 Tapan Saha 共同指导；2022-07–2025-07 任 STEM Talent Fellow
Doris Dan He校友 · PhD · 2016–2019	Peking University	Diversity query processing in spatiotemporal databases Data Scientist in the Queensland Government.
Pingfu Cao校友 · PhD · 2016–2019	East China Normal University	Large-scale transport network data analytics Associate Professor at Soochow University, China.
Bolong Zheng校友 · PhD · 2014–2017	Huazhong University of Science and Technology	Spatiotemporal databases 曾任 Aalborg University 博士后；Professor, Huazhong University of Science and Technology 2016-01–08 曾任组内博士后
Douglas Alves Peixoto校友 · PhD · 2015–2018	Universidade Federal de Viçosa	Parallel spatiotemporal database systems works for IBM Brazil.
Lei Li校友 · PhD · 2014–2018	Harbin Institute of Technology	Time-dependent routing algorithms in road networks Assistant Professor at HKUST (GZ Campus). 2018-10–2022-01 在 UQ 任博士后
Xingzhong Du校友 · PhD · 2014–2017	Nanjing University	Video databases Senior Applied Scientist at Oracle.
Saeid Hosseini校友 · PhD · 2012–2017	Queensland University of Technology	Using location information from social media Associate Professor at Sohar University, Oman. 2013–2015 为非全日制博士阶段
Wen Hua校友 · PhD · 2011–2015	Renmin University of China	Entity linking 曾任 UQ Lecturer；Associate Professor, Hong Kong Polytechnic University 2016–2017 任博士后；2011-09–12 曾以中国人民大学学生身份在组内研究实习
Haozhou Wang校友 · PhD · 2012–2015	the University of Queensland	In-memory Trajectory Databases；2011 年项目：Trajectory-based location ranking works for EMC China. 2011 年曾为组内 Project Student
Ada Han Su校友 · PhD · 2012–2015	Nanjing University	Quality-aware trajectory query processing Associate Professor at the University of Electrical Science and Technology of China.
Dat T. Huynh校友 · PhD · 2010–2014	HoChiMinh City University of Technology	Entity Extraction from Unstructured Data on the Web
Zhixu Li校友 · PhD · 2009–2013	Renmin University of China	Harvesting the Web for Linking and Imputing String Data in Databases Professor at Renmin University, China.
Felix Qing Xie校友 · PhD · 2009–2012	the University of Science and Technology of China	Approximation and Exploration of Streaming Time Series Data Associate Professor at Wuhan University of Technology.
Kexin Xie校友 · PhD · 2008–2012	the University of Queensland 2008 University of Queensland MEng	Supporting Real-time Query Processing for Advanced Spatial Database Applications；MEng 论文：Supporting Data Provenance and Lineage Analysis for SQL Queries Senior Director & Architect, Software Engineering at Salesforce, USA.
Shuo Shang校友 · PhD · 2009–2012	Peking University	Spatial Query Processing for Trip Planning and Location Recommendation Professor at University of Electronic Science and Technology of China.
Jia Zhu校友 · PhD · 2006–2012	Bond University	Robust Name Disambiguation Framework for Large Databases Associate Professor in South China Normal University. 非全日制博士；2024-05–08 以 Zhejiang Normal University 研究人员身份访问
Kevin Kai Zheng校友 · PhD · 2009–2012	Fudan University	Uncertainty Management in Spatiotemporal Database Professor at University of Electronic Science and Technology of China.
Xiangmin Zhou校友 · PhD · 2005–2008	Northeast University	Similarity Search In Large Video Database Lecturer at RMIT University, Australia.
Saeid Asadi校友 · PhD · 2004–2008	—	Dealing with Geographic Information in Location-Based Search Engines Associate Professor at Shahed University, Iran.
Ke Deng校友 · PhD · 2004–2007	Griffith University	Distance Ranking in Constraint-Based Spaces: An Elemental Problem in Spatial Query Processing Senior Lecturer at RMIT University, Australia. 2007-10–2012-12 任博士后
Helen Zi Huang校友 · PhD · 2003–2007	Tsinghua University	Summarization-based Similarity Search for Complex Databases Professor and ARC Future Fellow at UQ. ARC Future Fellow
Sai Sun校友 · PhD · 2002–2006	Nanjing University	Multiresolution and Semantic Caching: A Framework for Network-based Spatial Applications Research Scientist position at the National ICT Australia (NICTA). 2006 年曾任博士后
Sham Prasher校友 · PhD · 2001–2005	the University of Queensland	Query Processing in Multiresolution Spatial Databases 创业后在 Mana Wind, Australia 工作 2011-04–2013-03 任博士后，随后创业
Kevin Kai Xu校友 · PhD · 2000–2004	Shanghai Jiao Tong University	Database Support for Multiresolution Terrain Models Associate Professor at the University of Nottingham, UK.
Jimmy Kwun Hang Lau校友 · MPhil · 2024–2026CSE	2026 HKUST MPhil the Chinese University of Hong Kong	Temporal RAG Huawei Research Hong Kong · Research Intern（MPhil 阶段后期）2025-08–2026-01 Huawei Research HK.
Oscar Zhonghan Chen校友 · MPhil · 2023-09–2025-12CSE	2025 HKUST MPhil The University of Toronto	Cardinality Estimation for Similarity Search: A Locality Sensitive Hashing Approach Huawei.
Yue Liu校友 · MPhil · 2023-09–2025-12CSE	2026 HKUST MPhil Zhejiang University	On Faithful Citations in Retrieval Augmented Generation Tencent. 2023-03–08 曾任 RA；早期团队页记其随后转入组内 PhD
Jian Yang校友 · MPhil · 2024-06 毕业	The South China University of Technology	Huawei. 主导师 Zheyi Wen；2023-08–2024-06 访问本组
Ziyi Liu校友 · PhD · 2019–2021	QUT	Constraint shortest path problems Professor at Soochow University. 2019-10 入读 MPhil，2021-06 转为 Wen Hua 指导的 PhD；2023-12–2025-12 任 Research Assistant Professor
Xuanyi Zhang校友 · MPhil · 2019-04–2021-06	the University of California Santa Cruz	An experimental study on constrained shortest path algorithms in road networks
Runhui Wang校友 · MPhil · 2017–2019	Peking University	Parallel Graph Algorithms PhD candidate at Rutgers University, USA.
Bingyu Yi校友 · MPhil · 2013-08–2016-12	Xi'an Jiaotong University
Xin Li校友 · Visiting researcher · 2011-09–2014-06	Renmin University of China Master student
Jiping Wang校友 · MPhil · 2012-10–2014-07	Tsinghua University	Efficient Distance-based Query Processing in Spatial Networks
Yiyue Gao校友 · MPhil · 2007-09–2009-03	—	Comprehensive Evaluation of Image Color Features for CBIR Systems Associate Advisor：Heng Tao Shen
Bill Zhang校友 · MPhil · 2004-08–2006-02	—	Data-Intensive Mediator-based Web Services Composition with Self-tuning Histogram with Mincom in Denver, USA.
Callum McDonald校友 · Project Student · 2011	—	Excerpt-level web search
Doug Cathepole校友 · MEng · 2008	—	Efficiency in Visualizing Large-Scale Moving Objects
Ji Tao Gan校友 · MSc · 2008	—	Approximate Join Algorithms for Data Record Linking
Benjamin Cheviot校友 · MSc · 2007	—	Using Google Earth as a web search interface
Sittichai Thongnopparat校友 · MSc · 2005	—	Address extract from Web pages
Li Yang校友 · MSc · 2004	—	Semi-structured language processing for biological data at tom.com in Beijing, China. 与 UQ CBIT 合作
Yanqiu Richard Zhu校友 · MSc · 2004	—	主导师 Hoylen Sue、Linda Bird（DSTC）
George Eng-Huan Pek校友 · MSc · 2002	—	Wrapper Validation
David Horgan校友 · Hons · 2004	—	Progressive Spatial Vector Data Exchange
Wei Yuan Ong校友 · Hons · 2004	—	主导师 Hoylen Sue、Linda Bird（DSTC）
Lynn Teo校友 · Hons · 2003	—	Visualization and Surface Matching of 3D Protein Strictures
Wissam (Sam) Hmud校友 · Hons · 2003–2004	—	XML Containment Join Processing
Christopher Lim校友 · Hons · 2003	—	Databases for the Grid
Brendan Tse校友 · Hons · 2002	—	Managing Bioinformatics Data
Alex Hai Luong校友 · Hons · 2002	—	Evolution of Schemata within Bioinformatics: Tracking the Ensemble Database
Darko Javanovic校友 · Hons · 2001	—	Web Wrapper Development and Maintenance using Wrapper Generator Interface
Anecia Johnston校友 · Hons · 2001	—	Extracting Real Estate Information From the World Wide Web
Travis Fusae校友 · Hons · 2001	—	Proposal for an Improved License Management System through a Case Study Analysis
Dan Sketcher校友 · Hons · 2001	—	Terrain Data Simplification and Visualization
Keith Blair校友 · Hons · 2000	—	Find the Shortest Paths for Sea Turtle Migration: From a Spatial Database Perspective
Luke Boyce校友 · Hons · 2000	—	Join Non-Compatible Quadtrees
Frank Penkava校友 · Hons · 2000	—	A Study on Information Completeness and Search Speed in the World Wide Web Environment
Jackson Carroll校友 · Hons · 2000	—	Spatial Data Generalization for Internet and Mobile Applications
Joe Yates校友 · Hons · 1999	—	Map-Based Interface for Navigating the Web
Steve Broderick校友 · Hons · 1999	—	Efficiency in Querying Multiple Websites in XML
Jingzhi Fang校友 · STEM Talent Fellow · 2024-09–2025-12	—	researcher at Huawei.
Qintian Guo校友 · STEM Talent Fellow · 2024-08–2026-01	—	Professor at Beijing Institute of Technology.
Jingliang Deng校友 · Postdoc · 2024-03–2026-01	—	Professor at Beihang University.
Bilan Chen校友 · Research Assistant · 2024-01–2025-11	—
Hedy Yijin Song校友 · Visiting researcher · 2025 Summer	Cornell
Lauren Lee校友 · Visiting researcher · 2025 Summer	Yale
Chen Song校友 · Research Assistant · 2025-03–2025-08	—
Lei Zou校友 · Visiting researcher · 2025-05–2025-07	—	来自 Peking University
Shimin Di校友 · Research Assistant Professor · 2023-12–2025-04	—	Professor at Southeast University, China. 2022-02 起为 STEM Talent Fellow
Zihan Luo校友 · PhD · 2024-01–2024-08Individualized Interdisciplinary Program (Data Science and Analytics)	2026 HKUST PhD	共同指导
Kai Huang校友 · Postdoc · 2021-05–2023-08	—	Assistant Professor position at Macao University of Science and Technology. 2022-02 起为 STEM Talent Fellow
Gaoya Ouyang校友 · Research Assistant · 2022-03–2023-06	—
Qiyu Liu校友 · STEM Talent Fellow · 2022-03–2023-06	—
Dan He校友 · Postdoc · 2020-01–2022-12	—	Research Scientist position at Queensland Government.
Pingfu Chao校友 · Postdoc · 2020-01–2021-07	—	Associate Professor position at Soochow University.
Jiangfeng Xu校友 · Postdoc · 2019-12–2020-11	—	Associate Professor position at Soochow University.
Junhao Gan校友 · Postdoc · 2017-03–2018-07	—	Lecturer position at The University of Melbourne.
Sibo Wang校友 · Postdoc · 2017-04–2018-12	—	Assistant Professor position at The Chinese University of Hong Kong.
Quoc Viet Hung Nguyen校友 · Postdoc · 2015–2017	—	Lecturer position at Griffith University.
Hongzhi Yin校友 · Postdoc · 2015–2018	—	Lecturer position at UQ.
Kevin Zheng校友 · Postdoc · 2012–2016	—	Professor position at Soochow University.
Han Su校友 · Postdoc · 2015-01 起	—	postdoc position at the University of Southern California, USA.
Yi Yang校友 · Postdoc · 2013-05–2014-01	—	Senior Lecturer position at the University of Technology, Sydney.
Henning Koehler校友 · Postdoctoral Research Fellow · 2008-08–2011-02	—	Senior Lecturer position at Massey University, New Zealand.
Laurianne Sitbon校友 · Postdoctoral Fellow · 2010-03–2010-09	—	Lecturer position at QUT.
Gabriel Fung校友 · Postdoctoral Research Fellow · 2008-01–2009-12	—	postdoc position at the University of Arizona.
Stella Liping Wang校友 · Postdoctoral Research Fellow · 2008-03–2009-03	—	postdoc position at Victoria University, Australia.
Qing Liu校友 · Postdoc · 2006	—	Research Scientist position with CSIRO ICT Centre.
Yanfeng Shu校友 · Postdoc · 2006	—	Research Scientist position with CSIRO ICT Centre.
Mohamed Rafi Feroze校友 · Research Officer · 2006	—	do PhD at UQ.
Ye Liu校友 · PhD · 2024-05–2024-11	University of Science and Technology of China PhD student
Zhifei Yu校友 · Visiting researcher · 2024-08–2024-09	Huazhong University of Science and Technology 本科在读
Yuanzhe Li校友 · Visiting researcher · 2024-08–2024-09	Southern University of Science and Technology 本科在读
Zhetao Zheng校友 · PhD · 2023-08–2024-02	University of Electronic Science and Technology of China PhD student
Weijia Zhang校友 · PhD · 2023-09–2024-04	HKUST Guangzhou PhD student
Jianfeng Qu校友 · PhD · 2017-10 起 12 个月	Jilin University PhD 在读	CSC 资助
Kankan Zhao校友 · PhD · 2017-11 起 12 个月	Renmin University of China PhD 在读	CSC 资助
Fengmei Jin校友 · Visiting researcher · 2017-07 起 12 个月	Renmin University of China Master student
Guangfeng Liu校友 · Visiting researcher · 2017-06–2018-06	—	来自 Soochow University 的访问教授
Liwei Wang校友 · Visiting researcher · 2017-12 起 12 个月	Wuhan University	CSC 资助；2008-09–2010-07 曾有一次访问
Yan Zhao校友 · PhD · 2017-07–2017-09	Soochow University PhD 在读
Wenling Zhang校友 · Visiting researcher · 2017-11–2018-04	Soochow University
Jiali Yang校友 · Visiting researcher · 2017-11–2018-04	Soochow University
Anqi Zhao校友 · Visiting researcher · 2017-11–2018-04	Soochow University
Kangzhi Zhao校友 · PhD · 2017-06–2017-08	Tsinghua University PhD 在读
Juan Deng校友 · Visiting researcher · 2017–2018	Wuhan University
Haiqiang Yang校友 · PhD · 2016-09 起 12 个月	Harbin Institute of Technology PhD student	CSC 资助
Thanh Tam Nguyen校友 · PhD · 2016-08-14–2017-02-14	EPFL PhD student
Bohan Li校友 · Visiting researcher · 2016-01 起 12 个月	—	来自 NanHang University；CSC 资助访问
Yuan Su校友 · Visiting researcher · 2016-05 起 12 个月	—	来自 BeiYou University；CSC 资助访问
Hailong Liu校友 · Visiting researcher · 2015-01–2016-12	—	来自 Northwestern Polytechnical University；CSC 资助访问
Tieke He校友 · PhD · 2013-09–2015-09	Nanjing University PhD student	CSC 资助访问
Wen-Chih Peng校友 · Visiting researcher · 2014-07–2015-07	—	来自 National Chiao Tung University, Taiwan
Lei Zhao校友 · Visiting researcher · 2014-08–2015-08	—	来自 Soochow University；江苏省资助访问
Xian Wu校友 · Visiting researcher · 2014-08–2015-08	—	来自 Soochow University；CSC 资助访问
Kang Qiu校友 · Visiting researcher · 2013-06–2014-06	—	来自淄博市公安局；CSC 资助访问
Yuwie Peng校友 · Visiting researcher · 2013-01–2014-01	—	来自 Wuhan University；CSC 资助访问
Ivor Tsang校友 · Visiting researcher · 2012-12	—	来自 Nanyang Technological University
Yilun Cai校友 · PhD · 2012-08–2012-12	the University of Hong Kong PhD 在读	导师 Nikos Mamoulis
Elisa Bertino校友 · Visiting researcher · 2012-05	—	来自 Purdue University
Timos Sellis校友 · Visiting researcher · 2012-03	—	来自 National Technical University of Athens
Jian Pei校友 · Visiting researcher · 2012-03	—	来自 Simon Fraser University
Hanan Samet校友 · Visiting researcher · 2012-04	—	来自 University of Maryland
Chen Xu校友 · Visiting researcher · 2011-04–2011-07	—	来自 East China Normal University；研究实习
Reynold Cheng校友 · Visiting researcher · 2011-06	—	来自 University of Hong Kong
Fuhao Zou校友 · Postdoc · 2010-06–2011-07	—	来自 Huazhong University of Science and Technology；CSC 资助博士后
Kyoji Kawagoe校友 · Visiting researcher · 2010-03–2010-09	—	来自 Ritsumeikan University；休假访问
Jing Yang校友 · PhD · 2009-08–2010-07	Renmin University of China PhD student
Peter Scheuemann校友 · Visiting researcher · 2010-05	—	来自 Northwestern University；休假访问
Huangliang Sun校友 · Visiting researcher · 2008-09–2009-08	—	来自 Shenyang Jianzhu University；休假访问
Kuien Liu校友 · PhD · 2008-11–2009-11	Institute of Software, Chinese Academy of Sciences PhD student
Wei Lu校友 · PhD · 2008-01–2009-01	Renmin University of China PhD student
Hu Xu校友 · PhD · 2008-01–2009-01	Huazhong University of Science and Technology PhD student	CSC 资助研究实习
Wendy Wen-Rong Jiang校友 · Visiting researcher · 2007-04–2008-04	—	来自 Shanghai Second Polytechnic University；休假访问
Guowei Yang校友 · Visiting researcher · 2008-08–2008-10	—	来自 Hohai University；研究实习
Hoang Quang校友 · Visiting researcher · 2008-08–2008-10	—	来自 Hui University, Vietnam；UN 资助访问
Himanshu Prakash校友 · Visiting researcher · 2007-05–2007-07	—	来自 IIT Kanpur；研究实习
Mitsuaki Nakasumi校友 · Visiting researcher · 2006-04–2007-03	—	来自 Komazawa University；休假访问
Hyu Chan Park校友 · Visiting researcher · 2005-08–2007-02	—	来自 Korea Maritime University；休假访问
Yuan Shi校友 · Visiting researcher · 2006-09–2007-03	Wuhan University	研究实习
Boxuan Zhai校友 · Visiting researcher · 2006-09–2007-03	Wuhan University	研究实习
Jeffrey Yu校友 · Visiting researcher · 2006-07	—	来自 CUHK
Tim Merrett校友 · Visiting researcher · 2006-04	—	来自 McGill University；休假访问
Xia Cao校友 · Visiting researcher · 2005-09–2005-12	—	来自 National University of Singapore；研究实习
Jizhou Lou校友 · Visiting researcher · 2005-07–2005-11	—	来自 Harbin Institute of Technology；研究实习
Haijun Wu校友 · Visiting researcher · 2004-07–2005-07	—	来自 Nanjing University；休假访问
Zhiyong Peng校友 · Visiting researcher · 2004-11	—	来自 Wuhan University
Guihai Chen校友 · Visiting researcher · 2000-07–2000-08	—	来自 Nanjing University
Sanglu Lu校友 · Visiting researcher · 1999	—	来自 Nanjing University
Wei Chen (Soochow visiting PhD)校友 · Visiting PhD · 2016-10 起 12 个月	Soochow University PhD 在读	CSC 资助访问

教育与履历

教育背景

1984
Nanjing University
BSc, Computer Science
1987
Nanjing University
MSc, Computer Science
1994
The University of Queensland
PhD, Computer Science

任职经历

1994–1999
CSIRO
Senior research scientist; Spatial Information Systems group head
1999
University of Queensland
加入教师队伍
2004–2020
University of Queensland
Professor of Computer Science
2006–2020
University of Queensland
Professor; DKE group and Data Science discipline leader
HKUST CSE
Otto Poon Professor of Engineering; Chair Professor; Head

学术服务

数据库资深学者与系负责人，主线覆盖复杂数据管理。

业界合作与实习

合作机构: 3家
合作记录: 4条
成员产业经历: 6条

学校项目记录列有企业资助的研究项目。

MetaX Integrated Circuits (Shanghai) Co, Ltd. 资助研究项目
牵头项目 HKUST-MetaX Joint Laboratory for Advanced AI Computing（2024 -）
Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 Adaptive Proximity Queries for High-Density Point Cloud Data in Dynamic Environments（2024 -）
Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 Optimization of Data Curation for Cost-effective LLM Training（2024 - 2026）
China Unicom (Hong Kong) Operations Limited 资助研究项目
牵头项目 HKUST-China Unicom Joint Laboratory on Smart Society（2023 - 2026）

成员实习与产业经历

2025-10–2026-04
Elton Chun Chai Li · JP Morgan
Intern（MPhil 期间）
2025-05–2025-08
Weijie Shi · Alibaba
Intern（PhD 期间）
2025-08–2026-01
Jimmy Kwun Hang Lau · Huawei Research Hong Kong
Research Intern（MPhil 阶段后期）
2025-11–2026-01
Xi Zhao · ByteDance
Visiting researcher（PhD 期间）
2026-09–
Zhenjun Huang · Peng Cheng Laboratory
Intern（PhD 期间；PCL Scholarship）
2026-09–
Sherry Sau Lai Yip · Huawei
Intern（MPhil 期间）

学术影响与网络关注

计算标准

院系样本分位

累计引用86P86

h-index88P88

2024–2026 论文92P92

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 706 篇 · i10-index 336 · 截至 2026-10-17

Song GUO

郭嵩

Chair Professor and Associate Head

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: Pervasive Intelligence Lab；HKUST Center of Physical AI
博士毕业于: University of Ottawa · 2006
研究主线: Large language model；Physical AI；Machine learning systems；Agentic AI Theory；Generalized World Model；Edge-Native AI System；Pervasive AI Application

累计引用: 32,372次
h-index: 88
2024–2026 论文: 277篇
在组成员: 36人

研究方向

Large language model
Physical AI
Machine learning systems
Agentic AI Theory
efficient reasoning、test-time alignment、multi-agent collaboration。
Generalized World Model
world model、physical intelligence、embodied reinforcement learning。
Edge-Native AI System
AI PC、cloud-edge-end collaboration、Chinese GPU。
Pervasive AI Application
embodied AI、AI for Science、AI-generated content。

较早工作围绕网络、分布式学习与边缘资源；2024 QuickDrop 继续 federated learning/unlearning，2025 CoMoE 继续边缘模型部署。IRASim 到 WMPO 展现从 action-conditioned 视频世界模型到 world-model policy optimization 的连续推进。当前组内同时保留理论、系统和应用分工。

多团队并行、系统资源约束与模型算法结合

QuickDrop 处理去学习时间；CoMoE 处理 memory/offloading；IRASim 与 WMPO 构成机器人预测到策略学习的相邻路线。

代表论文与近期发表

2024QuickDrop: Efficient Federated Unlearning via Synthetic Data GenerationMiddleware

研究问题: 联邦数据删除需要重复计算或保留大量历史梯度，成本高。
核心方法: 训练中用 gradient matching 合成 client-specific 小数据集，后续以其执行梯度上升去学习和恢复。
实验结果: 3 个数据集、5 个基线下，报告相对重训最高 463 倍加速、相对既有 FU 方法 65–218 倍加速，并维持相近模型效用。
实验条件与边界: 去除效果属于所测数据与攻击评估；其经验遗忘结果与形式化隐私保证各自核验。
课题组研究线: 延续分布式学习的成本、数据控制与系统效率。
核阅章节: Abstract、Introduction（开头）、Conclusion

2025IRASim: A Fine-Grained World Model for Robot ManipulationICCV；已读 2025 作者稿

研究问题: 机器人策略评估和规划需要覆盖细粒度物体交互的 action-conditioned simulator。
核心方法: 视频 diffusion transformer 加入 frame-level action-conditioning，对齐动作与生成视频，并用于 policy evaluation 与 planning。
实验结果: 在论文任务上展示长时程高分辨率预测；Push-T planning 的 IoU 从 0.637 提升到 0.961。
实验条件与边界: 结论明确生成尚未达到实时；后续方向为 diffusion distillation 加速。生成质量、物理真实性和真实机器人成功率分开评价。
课题组研究线: 为 WMPO 等模型内策略优化提供世界模型基础。
核阅章节: Abstract、Introduction（开头）、§5 Conclusion, Limitation and Future Work

2026WMPO: World Model-based Policy Optimization for Vision-Language-Action ModelsICLR；已读 2025 作者稿

研究问题: VLA 依赖演示，真实机器人 RL 交互样本昂贵。
核心方法: 以 pixel-based world model 产生与 VLA 视觉预训练相容的轨迹，在模型中执行 on-policy GRPO。
实验结果: 模拟与真实机器人实验支持样本效率、性能、自我纠正和泛化收益。
实验条件与边界: RL 阶段免真实环境交互有明确范围；世界模型的训练数据、奖励和模型偏差仍影响部署。
课题组研究线: 沿 IRASim 的 action-conditioned 预测扩展到强化学习策略更新。
核阅章节: Abstract、Introduction（开头）、Conclusion

2025CoMoE: Collaborative Optimization of Expert Aggregation and Offloading for MoE-based LLMs at EdgearXiv 预印本

研究问题: MoE 的参数存储和动态 expert 加载使移动边缘设备受内存与网络限制。
核心方法: 联合 expert aggregation、offloading 与调度，依据设备资源、网络、输入和移动性适配。
实验结果: 作者报告约 70% memory reduction、相对 expert-offloading 方法 10.5% latency reduction；7.4B 模型内存从 15.6 GB 降到 4.7 GB。
实验条件与边界: 结果取预印本与指定 edge testbed；实验条件及模型精度损失应随部署配置复核。
课题组研究线: 继续 cloud-edge-end 资源管理线，LLM 为当前工作负载。
核阅章节: Abstract、Introduction（开头）、Conclusion

2024–2026 论文目录（共 277 篇）

2026 年87 篇

2025 年79 篇

2024 年111 篇

实验室与成员

Pervasive Intelligence Lab；HKUST Center of Physical AI

博士生: 27
硕士生: 4
博士后: 3
RA、访问与其他: 2

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Large language model；Physical AI；Machine learning systems；Agentic AI Theory；Generalized World Model；Edge-Native AI System；Pervasive AI Application

在组成员36

成员	教育背景	研究方向与经历
Haoxi LiPhD · 2024–CSE LinkedIn · Google Scholar · ORCID · GitHub GitHub 关注 1 Stars 0	2019–2023 Northwestern Polytechnical University 本科 2024– HKUST PhD, CSE	large reasoning models、metacognition、agentic RL、vision-language agents Fleet leader
Xiaosong MaPost-doctoral Fellow · 2025–	2015–2019 Southeast University BSc, Information Engineering 2019–2022 Southeast University MEng, Cyber Science 2022 入学 Hong Kong Polytechnic University PhD, Computer Science	Agentic AI Theory；federated learning、edge computing、machine-learning security
Enze MaPhD · 2024–CSE	2018–2022 Hong Kong Polytechnic University BEng, Civil Engineering 2022–2023 HKUST MSc, Intelligent Building Technology and Management	computer vision、multimodal LLMs
Haoyue ZhangPhD · 2024–CSE GitHub 关注 3 Stars 7	2016–2020 Southwest Jiaotong University BSc, Electronic Information 2020–2023 Institute of Computing Technology, Chinese Academy of Sciences MSc, Computer Applied Technology	efficient LLM reasoning、Edge AI、machine learning
Sikai BaiPhD · 2024–CSE	2015–2019 China University of Geosciences, Wuhan Bachelor, Information Engineering 2019–2022 Northwestern Polytechnical University Master, AI/Optics/Electronics	computer vision、federated learning、vision-language models SenseTime Shanghai · Intern（硕士毕业后、HKUST 入读前）2022-05–2023-01 ；2023-01–08 在 PolyU 任 RA，与 Jie Zhang 合作
Yongjiang LiuPhD · 2024–CSE	2014–2018 Northwestern Polytechnical University BSc, Aeronautical Engineering 2018–2021 Northwestern Polytechnical University MSc, Computer Science and Technology	LLMs、few-shot learning
Xuanzhi FengPhD · 2025–CSE	—	Agentic AI Theory
Peiran XuMPhil · 2026–CSE	—	Agentic AI Theory
Zeyu LiuMPhil · 2024–CSE	2019–2023 Shandong University BEc, Finance	computer vision、AI for Science
Haodong WangPhD · 2024–CSE	2020–2024 Harbin Institute of Technology 本科, Mathematics 2024–2028（个人档案所列） HKUST PhD, CSE	ML systems、on-device inference、LLM quantization Fleet leader
Jian LinPhD · 2024–CSE Google Scholar · GitHub GitHub 关注 0 Stars 7	2015–2019 Jiangxi University of Science and Technology BE, Information and Computing Science 2020–2023 Shantou University MSc, Computer Science and Technology	computing systems、LLM agents、serverless computing 硕士导师 Jianlong Xu；2022-09–2023-04 在中山大学、香港理工大学任 RA，合作导师 Wuhui Chen、Song Guo
Qianli LiuPhD · 2024–CSE Google Scholar · ORCID · GitHub GitHub 关注 1 Stars 8	2024 Hong Kong Polytechnic University BSc, Computing; minor Applied Mathematics	stateful AI systems、distributed MoE serving、inference-state/KV-cache management
Yufeng YangMPhil · 2026–CSE	—	Edge-Native AI System
Jiazhi MiPhD · 2025–CSE	—	Edge-Native AI System
Pengfei WuPhD · 2025–CSE	—	Edge-Native AI System
Zile WangPhD · 2025–CSE	—	Edge-Native AI System
Yangjia HuPhD · 2026–CSE 简历 · GitHub GitHub 关注 7 Stars 6	2022–2026 USTC BSc, Computer Science and Technology	AI infrastructure for LLM/VLM/world models；computer architecture
Fangqi ZhuPhD · 2024–CSE Google Scholar · GitHub GitHub 关注 6 Stars 0	2017-09–2021-06 Wuhan University BEng, Software Engineering 2021-09–2024-01 Harbin Institute of Technology, Shenzhen MEng, Computer Science and Technology 2024– HKUST PhD, CSE	robot learning、world models、reinforcement learning International Digital Economy Academy · Research Intern, DataStory AI Lab（入读 HKUST PhD 前）2022-09–2023-03 4Paradigm · Research Intern（入读 HKUST PhD 前）2023-04–2023-12 ByteDance Seed · Research Intern, Robotics（入读 HKUST 前开始，延续至 PhD 期间）2024-03–2025-09 ByteDance Seed · Research Intern, Multimodal（PhD 期间）2025-09–2026-05 NVIDIA GEAR · Research Intern, world models（PhD 期间）2026-05– 个人主页计划 2027 年毕业并进入 industry job market Fleet C leader；NVIDIA 合作者为 Shenyuan Gao、Yuke Zhu、Jim Fan
Xiaoyi PangPost-doctoral Fellow · 2024– Google Scholar · ORCID · GitHub · OpenAlex OpenAlex 近三年 30 引用 1,028 h-index 15 GitHub 关注 0 Stars 0	2018 Wuhan University BEng, Information Security 2023 Wuhan University PhD, Cyberspace Security	edge intelligence、end-edge-cloud、privacy/security、IoT、mobile crowdsensing 博士导师 Zhibo Wang；2019-09–12 在 CUHK 随 John C.S. Lui 任 RA
Hui LiuPhD · 2026–CSE	—	Generalized World Model
Quanxin ShouPhD · 2025–CSE	2021–2025 Beihang University Bachelor, Automation	robot learning、world models for embodied agents
Zhengyang YanMPhil · 2025–CSE	—	Generalized World Model
Junhao LiPhD · 2026–CSE	—	Generalized World Model
Yikun MiaoPhD · 2026–CSE	—	Generalized World Model
Jian LiuPhD · 2025–CSE GitHub · DBLP · ORCID DBLP 近三年 39 GitHub 关注 113 Stars 1,539	2018-09–2022-06 Harbin Institute of Technology Bachelor, Software Engineering 2022-09–2024-12（CV） Harbin Institute of Technology Master, Computer Science 2025-09– HKUST PhD, CSE	artist-style mesh generation、3D creation、3D worlds 与 sim-to-real Alibaba · Software Dev Engineer Intern（入读 HKUST PhD 前）2021-08–2021-10 Megvii Research · Research Intern（入读 HKUST PhD 前）2022-05–2023-08 Shanghai AI Lab · Research Intern（入读 HKUST PhD 前）2023-09–2024-07 Tencent Hunyuan · Research Intern（入读 HKUST PhD 前）2024-08–2025-06 Tencent Hunyuan · Qingyun Research Intern（2025-09 入读 PhD 前开始，延续至 PhD 期间）2025-07–2026-07 Fleet D leader；Tencent mentors 为 Chunchao Guo、Biwen Lei
Bohai GuPhD · 2024–CSE GitHub GitHub 关注 2 Stars 219	2017–2021 UESTC BEng, Software Engineering 2021–2024 Institute of Software, Chinese Academy of Sciences MSc, Software Engineering	interactive video world models、image/video AIGC Alibaba DAMO Academy, Vision Technology Lab · Research Intern（硕士毕业及转入 HKUST 阶段）2024-01–2024-09 Tencent Video · Research Intern, AI Technology Center
Hao ChenPhD · 2024–CSE Google Scholar · GitHub GitHub 关注 8 Stars 83	2017–2021 Shandong University BEng, Communication Engineering 2021–2024 Zhejiang University MSc, Aeronautical and Astronautical Science	AI for Science、numerical weather prediction、computer vision 硕士导师 Zheming Lu
Jinxiang LaiPhD · 2024–CSE Google Scholar · GitHub GitHub 关注 8 Stars 103	2013–2017 Guangdong University of Technology BEng, Optoelectronics Information Science and Engineering 2017–2020 Guangdong University of Technology MSc, Electronic Science and Technology	computer vision、multimodal LLMs、few-shot learning Tencent Youtu Lab · Computer Vision Algorithm Researcher（2024 入读 HKUST PhD 前）2020–2024 硕士导师 Liang Lei
Tao HanPhD · 2024–CSE GitHub 关注 98 Stars 658	2015–2019 Northwestern Polytechnical University BEng, Transportation Equipment and Control Engineering 2019–2022 Northwestern Polytechnical University MSc, Computer Science and Technology	AI for Science、numerical weather prediction、computer vision Shanghai AI Laboratory · Research Assistant, AI4Science（入读 HKUST PhD 前）2022-04–2024-01 Shanghai AI Lab · Research Intern（PhD 期间，GitHub 自述）硕士导师 Qi Wang；上海 AI 实验室合作导师 Lei Bai、Wanli Ouyang
Xiaocheng LuPhD · 2024–CSE GitHub 关注 0 Stars 78	2015–2019 Northwestern Polytechnical University BSc, Automation 2019–2022 Northwestern Polytechnical University MEng, Computer Science	large language/vision models、AIGC、AI for Science、low-shot learning Shanghai AI Laboratory · Research Intern, AI4Science（本人简介所列此前经历）硕士导师 Qi Wang；上海 AI 实验室合作导师 Lei Bai、Wanli Ouyang
Dazhao DuPhD · 2025–CSE	2016–2020 Tsinghua University BSc, Control Engineering 2020–2023 University of Chinese Academy of Sciences MSc, CSE	multimodal LLMs、video understanding ByteDance · Algorithm Engineer Intern（硕士期间）2022-07–2022-11 Beihang University Hangzhou Innovation Institute · Algorithm Engineer（入读 HKUST 前）2023-07–2025-03 Tencent PCG · Research Intern（PhD 期间）2026-03–
Hualei ZhangPhD · 2025–CSE	—	Pervasive AI Generative Content
Linsen WangPost-doctoral Fellow · 2026–	—	Pervasive AI Generative Content
Jian ChenSenior Research Scientist	—
Jie ZhangResearch Assistant Professor · 2024-09–	2011–2015 China University of Geosciences BEng 2015–2018 China University of Geosciences MEng 2019–2022 Hong Kong Polytechnic University PhD	edge computing、federated learning、distributed AI、foundation models 博士导师 Song Guo；2022–2024 在 PolyU 任 postdoc
Weixiang ZhangPhDIIP	—	共同指导；；Individualized Interdisciplinary Program

校友与去向1

成员	教育背景	研究方向与经历
Zicong Hong校友 · Postdoctoral Research Fellow · 2025-01–2025-10 简历	2015-09–2020-07 Sun Yat-sen University BEng, Software Engineering 2020-09–2025-01 Hong Kong Polytechnic University PhD	cloud-edge-end AI systems Scientist, EPFL Distributed Computing Lab，2025-11 起；与 Rachid Guerraoui 合作博士与 HKUST postdoc 导师 Song Guo；2023 ETH Zürich、2024 University of Aizu visiting scholar

成员

教育背景

研究方向与经历

Zicong Hong校友 · Postdoctoral Research Fellow · 2025-01–2025-10

简历

2015-09–2020-07 Sun Yat-sen University

BEng, Software Engineering

2020-09–2025-01 Hong Kong Polytechnic University

PhD

cloud-edge-end AI systems

Scientist, EPFL Distributed Computing Lab，2025-11 起；与 Rachid Guerraoui 合作

博士与 HKUST postdoc 导师 Song Guo；2023 ETH Zürich、2024 University of Aizu visiting scholar

教育与履历

教育背景

1991–1995
Huazhong University of Science and Technology
BEng, Computer Engineering
1995–1998
Beijing University of Posts and Telecommunications
MEng, Computer Engineering
2006
University of Ottawa
PhD, Computer Science

任职经历

2006–2007
University of Northern British Columbia
Assistant Professor
2006
University of British Columbia
NSERC Postdoctoral Fellow
2007–2011
University of Aizu
Associate Professor
2011–2013
University of Aizu
Senior Associate Professor
2014–2016
University of Aizu
Professor
2016–2023
Hong Kong Polytechnic University
Professor; Edge Intelligence Lab Director
2019–2021
Hong Kong Polytechnic University
Associate Head, Research and Development
2023–
HKUST
Chair Professor, CSE and ECE; Director, Center of Physical AI
HKUST Department of Computer Science and Engineering
Associate Head, Research and Knowledge Transfer

学术服务

分布式计算与边缘智能背景的 Chair Professor，现任 Physical AI 中心主任，公开荣誉含学会 Fellow 与技术成就奖。

现任 CSE/ECE Chair Professor 与 Physical AI 中心主任。

公开 CV 列博士学习期 2001–2005；学校学位栏列 PhD 2006。

指导方式与组内生活

实验室分为四个 research fleet，每个 fleet 由一名博士生担任 leader；RAP、research scientist、postdoc 与博士生共同开展项目。

组内组织

四个 fleet 的学生 leader 分别为 Haoxi Li、Haodong Wang、Fangqi Zhu、Jian Liu。

课题选择

招募页列 world models、VLA、learning from failures、自我纠正和真实机器人部署。

学生自主研究目标学生记录

Jian Liu 将 artist-style 3D mesh creation、3D worlds 与 sim-to-real 写为自己的长期目标。

业界合作与实习

合作机构: 8家
合作记录: 8条
成员产业经历: 20条

成员公开履历覆盖 NVIDIA GEAR、ByteDance Seed、Tencent Hunyuan3D 和上海 AI Lab；教授 CV 另列两项创业角色。

NVIDIA GEAR 学生实习
Fangqi Zhu 自 2026-05 研究 robot world models。
ByteDance Seed 学生实习与论文合作
Fangqi Zhu 2024–2026 在 Robotics、Multimodal 实习；IRASim、WMPO 有 ByteDance 共同作者。
Tencent Hunyuan3D 学生实习与产品研发
Jian Liu 参与 Hunyuan3D 2.0、Studio 的 low-poly generation，并与腾讯团队发表 mesh generation 工作。
Shanghai AI Lab 学生实习
Tao Han 的 GitHub 个人介绍列当前实习；Jian Liu 列 2023–2024 实习。
Zero Dynamic Medical Technology 创办企业
CV 列 co-founder、chief scientist，2021 起。
Liska Biometry Inc. 创办企业
CV 列 co-founder、chief architect，2001–2006。
Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 Innovative Architecture Design of GPU/CPU/SSD Multi-Level Collaborative LLM Model（2025 -）
MetaX Integrated Circuits (Shanghai) Co, Ltd. 资助研究项目
参与项目 HKUST-MetaX Joint Laboratory for Advanced AI Computing（2024 -）

成员实习与产业经历

2020–2024
Jinxiang Lai · Tencent Youtu Lab
Computer Vision Algorithm Researcher（2024 入读 HKUST PhD 前）
2021-08–2021-10
Jian Liu · Alibaba
Software Dev Engineer Intern（入读 HKUST PhD 前）
2022-05–2023-01
Sikai Bai · SenseTime Shanghai
Intern（硕士毕业后、HKUST 入读前）
2022-09–2023-03
Fangqi Zhu · International Digital Economy Academy
Research Intern, DataStory AI Lab（入读 HKUST PhD 前）
2022-05–2023-08
Jian Liu · Megvii Research
Research Intern（入读 HKUST PhD 前）
2022-07–2022-11
Dazhao Du · ByteDance
Algorithm Engineer Intern（硕士期间）
2022-04–2024-01
Tao Han · Shanghai AI Laboratory
Research Assistant, AI4Science（入读 HKUST PhD 前）
2023-04–2023-12
Fangqi Zhu · 4Paradigm
Research Intern（入读 HKUST PhD 前）
2023-09–2024-07
Jian Liu · Shanghai AI Lab
Research Intern（入读 HKUST PhD 前）
2023-07–2025-03
Dazhao Du · Beihang University Hangzhou Innovation Institute
Algorithm Engineer（入读 HKUST 前）
2024-03–2025-09
Fangqi Zhu · ByteDance Seed
Research Intern, Robotics（入读 HKUST 前开始，延续至 PhD 期间）
2024-08–2025-06
Jian Liu · Tencent Hunyuan
Research Intern（入读 HKUST PhD 前）
2024-01–2024-09
Bohai Gu · Alibaba DAMO Academy, Vision Technology Lab
Research Intern（硕士毕业及转入 HKUST 阶段）
2025-09–2026-05
Fangqi Zhu · ByteDance Seed
Research Intern, Multimodal（PhD 期间）
2025-07–2026-07
Jian Liu · Tencent Hunyuan
Qingyun Research Intern（2025-09 入读 PhD 前开始，延续至 PhD 期间）
2026-05–
Fangqi Zhu · NVIDIA GEAR
Research Intern, world models（PhD 期间）
2026-03–
Dazhao Du · Tencent PCG
Research Intern（PhD 期间）
Bohai Gu · Tencent Video
Research Intern, AI Technology Center
Tao Han · Shanghai AI Lab
Research Intern（PhD 期间，GitHub 自述）
Xiaocheng Lu · Shanghai AI Laboratory
Research Intern, AI4Science（本人简介所列此前经历）

学术影响与网络关注

计算标准

院系样本分位

累计引用94P94

h-index97P97

2024–2026 论文99P99

年度发表论文（同题去重）

111

2024

2025

2026

来源：OpenAlex · 累计收录作品 1,174 篇 · i10-index 528 · 截至 2026-10-17

Raymond Chi-Wing WONG

黃智榮

Professor and Associate Head

个人主页 · 学校档案 · 档案

博士毕业于: Chinese University of Hong Kong · 2008
研究主线: Big data；Data mining；Database systems

累计引用: 5,523次
h-index: 40
2024–2026 论文: 65篇
在组成员: 14人

研究方向

长期研究 top-k/regret、隐私、空间路径、查询算法和数据挖掘；2024–2025 继续 label-constrained path 与交互多样性，同时参与表格数据清洗和自然语言数据分析。

明确查询模型、算法保证与数据实验

PCSP 把正则路径约束做成索引；interactive top-k 给提问复杂度；Auto-Test 从语料学习数据质量约束。

代表论文与近期发表

2024PCSP: Efficiently Answering Label-Constrained Shortest Path Queries in Road NetworksPVLDB

研究问题: 最短路径需满足 road-label 的正则语言限制。
核心方法: 预计算两类 partially constrained paths，组合查询并剪枝 hoplinks。
实验结果: 实测约 100 μs 查询，相对最佳比较方法最高两个数量级加速。
实验条件与边界: 动态边标签/距离维护列为未来工作。
课题组研究线: 路径查询与索引的一条持续线。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in TablesSIGMOD

研究问题: 表格清洗常需专家逐表指定约束。
核心方法: 从表语料统计检验学习 semantic-domain constraints，并优化蒸馏为核心约束集。
实验结果: 可直接发现真实表格错误，也可补充现有清洗约束；给质量保证。
实验条件与边界: 自动约束的适用性受语料覆盖与语义域识别影响。
课题组研究线: 扩展数据质量与结构化数据应用。
核阅章节: Abstract、Introduction（开头）

2025Interactive Learning for Diverse Top-k SetICDE

研究问题: 用户难以提前准确写 utility function，top-k 又缺多样性。
核心方法: TDIA 与 HDIA 通过交互学习偏好并加入 diversity。
实验结果: 二维和多维情形分别给用户交互代价的渐近最优保证，实验降低提问数。
实验条件与边界: 依赖具体 utility/反馈模型；真实用户行为需额外研究。
课题组研究线: 延续 regret/top-k 与人参与查询。
核阅章节: Abstract、Introduction（开头）

2024–2026 论文目录（共 65 篇）

2026 年22 篇

2025 年20 篇

2024 年23 篇

实验室与成员

博士生: 12
硕士生: 2

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Big data；Data mining；Database systems

在组成员14

成员	教育背景	研究方向与经历
Hon Hing CHAKPhDCSE	—	；MPhil 2022
Rubin LIPhDCSE	—
Hao LIUPhDCSE	—
Kaibin LUPhDCSE	—
Hong SUPhDCSE	—
Weile TANPhDCSE	—
Xubang XIONGPhDCSE	—
Jinming ZHANGPhDCSE	—
Kit Shun ChengPhDCSE	—
Jinwei LuPhDCSE	—
Sisuo LyuPhDCSE	—
Yukai SunPhDCSE	—
Hyun Fung KwongMPhilCSE	—
Ka Kit LuiMPhilCSE	—

校友与去向35

成员	教育背景	研究方向与经历
Junjie LIU校友 · MPhil · 2026CSE	2026 HKUST MPhil	Software Engineer, Investment Company
Qixu CHEN校友 · PhD · 2025CSE	2025 HKUST PhD	Researcher, Huawei Research
Yinzhao YAN校友 · PhD · 2025CSE	2025 HKUST PhD	Researcher, Huawei Research
Libin WANG校友 · PhD · 2024CSE	2024 HKUST PhD	Associate Professor, Northwestern Polytechnical University
Yuanfeng SONG校友 · PhD · 2024CSE	2024 HKUST PhD	Researcher, ByteDance
Weicheng WANG校友 · PhD · 2023CSE	2023 HKUST PhD	Tenure-Track Professor, Beijing Institute of Technology (Zhuhai)
Xiaotian YOU校友 · MPhil · 2023	—	Software Engineer, Jane Street
Tianwen CHEN校友 · PhD · 2022	—	Machine Learning Engineer, Kuaishou ；MPhil 2019
Dandan LIN校友 · PhD · 2021	—	Applied Researcher, Tencent WeChat Business Group
Yuen Hoi LAU校友 · MPhil · 2021	—	Senior Quantitative Analyst, MacroValue Investors
Zheng ZHANG校友 · MPhil · 2021	—	Developer, Alibaba
James Shing Chun YIP校友 · MPhil · 2020	—	Private tutor
Harry Kai Ho CHAN校友 · PhD · 2019	—	Lecturer, University of Sheffield ；MPhil 2015
Min XIE校友 · PhD · 2019	—	Researcher, Shenzhen Institute of Computing Science
Sepanta ZEIGHAMI校友 · MPhil · 2019	—	PhD, University of Southern California
Victor Junqiu WEI校友 · PhD · 2018	—	Researcher, Huawei Noah’s Ark Lab
Ken Chung Hin KWOK校友 · MPhil · 2018	—	R&D, HKUST
Minhao JIANG校友 · PhD · 2017	—	R&D, TuSimple
Joe Wing Ho LIN校友 · MPhil · 2017	—	Lecturer, HKCC
Kwok Wai WONG校友 · MPhil · 2016	—	Research Assistant, Hang Seng Management College
Chengxi YANG校友 · MPhil · 2016	—	R&D, SenseTime
Coleman YU校友 · MPhil · 2016	—	PhD, Kyoto University
Cheng LONG校友 · PhD · 2015	—	Assistant Professor, Nanyang Technological University
Peng PENG校友 · PhD · 2015	—	Senior Algorithm Engineer, Alibaba
Dickson Kin Long HO校友 · MPhil · 2015	—	R&D, Radica
Pakawadee PENGCHAROEN校友 · MPhil · 2015	—	Business Analyst, Phatra Securities
Bin ZHANG校友 · MPhil · 2013	—	Software Development Engineer, Amazon
Yu PENG校友 · PhD · 2012	—	Technology Analyst, JP Morgan
Liangliang YE校友 · MPhil · 2011	—	R&D, Merrill Lynch
Lian LIU校友 · MPhil · 2010	—	PhD, University of Southern California
Qian WAN校友 · MPhil · 2010	—	PhD, University of Wisconsin-Madison
Manohar (Manu) Kaul校友 · Visiting student	—
Qi Wang校友 · Visiting student	—
Tae Jun Lee校友 · Graduate student	—	Co-founder, StoreRush
Tianlang He校友 · PhD · 2026CSE	—	共同指导；

教育与履历

教育背景

2002
Chinese University of Hong Kong
BSc, CSE
2004
Chinese University of Hong Kong
MPhil, CSE
2008
Chinese University of Hong Kong
PhD, CSE

任职经历

2004–2005
CUHK / Lifewood ITF project
R&D Assistant
2007-08–2007-09
IBM T.J. Watson Research Center
Research summer intern
2012–2014
HKUST
Associate Director, CPEG Program
2014–2016
HKUST
Director, CPEG Program
2017–2019
HKUST
Director, Risk Management and Business Intelligence Program
2019–2021
HKUST
Associate Director, Data Science and Technology Program
HKUST CSE
Professor; Associate Head (Education)

学术服务

数据库算法与交互查询研究者，教学和本科科研职责较多。

学术影响与网络关注

计算标准

院系样本分位

累计引用54P54

h-index63P63

2024–2026 论文74P74

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 339 篇 · i10-index 105 · 截至 2026-10-17

Lei CHEN

陳雷

Chair Professor

个人主页 · 学校档案 · 档案

实验室: Database Research Group；Knowledge Base、ML、Big Graph、Spatial Temporal/Crowdsourcing、Blockchain、DB4AI 子方向
博士毕业于: University of Waterloo · 2005
研究主线: Data-driven machine learning；Crowdsourcing-based data processing；Uncertain and probabilistic databases；Web information management；Multimedia systems；Knowledge bases and big graphs；Spatial-temporal crowdsourcing；Blockchain and DB4AI；Privacy and time-series databases

累计引用: 23,285次
h-index: 75
2024–2026 论文: 198篇
在组成员: 25人

研究方向

Data-driven machine learning
Crowdsourcing-based data processing
Uncertain and probabilistic databases
Web information management
Multimedia systems
Knowledge bases and big graphs
主页列 Knowledge Base、Big Graph、Data-Driven ML 三组。
Spatial-temporal crowdsourcing
主页分组与近期 time-dependent road network 插单工作相连。
Blockchain and DB4AI
主页另列 Blockchain、DB4AI 研究组；方向名称按公开组页保留。
Privacy and time-series databases
主页列 privacy、multimedia/time-series databases。

从 multimedia/time-series、uncertain/probabilistic databases 与 web data，延伸到 crowdsourcing、knowledge graph、GNN、blockchain 与 DB4AI。2024–2026 样本同时保留路网算法、learned index 机制分析和大图训练系统。

多子组的问题域与数据库方法交叉

近期三篇在不同领域仍以算法复杂度、硬件利用和真实数据验证为核心。

代表论文与近期发表

2024Real-time Insertion Operator for Shared Mobility on Time-Dependent Road NetworksPVLDB

研究问题: 静态旅行时间假设在共享出行实时插单中不成立。
核心方法: compound travel-time summary，利用 FIFO 性质将最佳插入处理降到线性时间和空间。
实验结果: 3 个真实应用数据集，最高 44.5 倍快于比较方法。
实验条件与边界: 线性结论使用指定 time-dependent road network 与 FIFO 条件。
课题组研究线: 持续时空/crowdsourcing 服务算法。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Why Are Learned Indexes So Effective but Sometimes Ineffective?PVLDB

研究问题: PGM 理论效果与实际 memory-bound 查询出现差距。
核心方法: 分析索引高度与内部搜索，设计 PGM++ 的混合 search 和 cost-based 参数调整。
实验结果: 同空间查询相对 PGM 最高 2.31 倍、相对 SOTA 最高 1.56 倍。
实验条件与边界: 复杂度结论有论文内分布/模型前提；硬件成本需校准。
课题组研究线: 以分布与硬件机制分析改进 learned indexes（AI for DB）。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2026Efficient GNN Training on Giant Graphs with Collective Batching and SchedulingPVLDB

研究问题: 固定 CPU/GPU batching 绑定导致算力、PCIe 空闲。
核心方法: MorphGL 自适应分派 batching，Dual-Buffer Scheduling 协同训练阶段。
实验结果: 3 个十亿边图、4 种机器，较 SALIENT/DUCATI 最高 2.76/2.2 倍。
实验条件与边界: 调度问题 NP-hard；给界的迭代方法与实际机器配置共同决定效果。
课题组研究线: 承接 Sancus/DAHA 等图训练效率路线。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 198 篇）

2026 年58 篇

2025 年74 篇

2024 年66 篇

实验室与成员

Database Research Group；Knowledge Base、ML、Big Graph、Spatial Temporal/Crowdsourcing、Blockchain、DB4AI 子方向

博士生: 21
硕士生: 2
博士后: 2

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Data-driven machine learning；Crowdsourcing-based data processing；Uncertain and probabilistic databases；Web information management；Multimedia systems；Knowledge bases and big graphs；Spatial-temporal crowdsourcing；Blockchain and DB4AI；Privacy and time-series databases

Knowledge Base

个人主页列出的研究分组。

Data-Driven Machine Learning

个人主页列出的研究分组。

Big Graph

个人主页列出的研究分组。

Spatial Temporal and Crowdsourcing

个人主页列出的研究分组。

Blockchain

个人主页列出的研究分组。

DB4AI

个人主页列出的研究分组。

在组成员25

成员	教育背景	研究方向与经历
YeongSeo JungPhDCSE	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Linrui LIPhDCSE	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Jialiang WANGPhDCSE	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Eunseo JUNGMPhilCSE	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Luyu QIUPhDCSE	—	Ph.D Student (Part-time) in Department of Computer Science and Engineering, HKUST
Yuchen LIUPhD	—	Ph.D Student in Department of Computer Science and Engineering, HKUST
Chengmin WU (Rebacca)PhD	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Jianxia LINPhD	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Zhifeng JiaPhDIndividualized Interdisciplinary Program (Data Science and Analytics)	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11；Individualized Interdisciplinary Program
Yubo WANGPhDCSE	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Fei TENGPhDCSE	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Yueying LIUPhD	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Shi CHENPhDIndividualized Interdisciplinary Program (Data Science and Analytics)	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11；共同指导；Individualized Interdisciplinary Program
Tianhao TANGPhDCSE	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Chunming MAPhD	—	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Qixiao ZhongMPhil	—	graph data management
Yuxiang ZengPostdoc	—	spatial-temporal crowdsourcing
Qiyu LiuPostdoc	—	spatial-temporal crowdsourcing
Siyuan HanPhDCSE	Harbin Institute of Technology BEng HKUST MSc, IT	database and blockchain systems
Pengze ChenPhDCSE	Sun Yat-sen University BEng HKUST MSc, BDT	database and blockchain systems
Chouyue HuangPhDAtmospheric Environmental Science	—	共同指导；
Tong LiPhDCSE	—	共同指导；
Ran LiPhDIndividualized Interdisciplinary Program (Data Science and Analytics)	—	；Individualized Interdisciplinary Program
Qiqi ZhouPhDCSE	—
Zhiyuan LiPhDCSE	—

校友与去向51

成员	教育背景	研究方向与经历
Zheng LIU校友 · PhD · 2018	—	researcher at MSRA. Doctor, Graduated in August 2018, now researcher at MSRA.
Yongqi ZHANG校友 · PhD · 2020 GitHub · Google Scholar · ORCID GitHub 关注 38 Stars 58	—	researcher at 4Paradigm. Doctor, Graduated in March 2020, now researcher at 4Paradigm.
Shimin DI校友 · PhD · 2022 Google Scholar · DBLP · GitHub · ORCID DBLP 近三年 78 GitHub 关注 4 Stars 2	—	Postdoc at HKUST. Doctor, Graduated in January 2022, now Postdoc at HKUST.
Jingshu PENG校友 · PhD · 2022	—	Doctor, Graduated in September 2022.
Haoyang LI校友 · PhDCSE	2023 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST
Likang WANG校友 · PhDCSE	2024 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST
Ge LV校友 · PhDCSE	2023 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST
Jia LI校友 · PhDCSE	2024 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST
Xujia LI校友 · PhDIndividualized Interdisciplinary Program (Data Science and Analytics)	2024 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST；Individualized Interdisciplinary Program
Hanmo LIU校友 · PhDIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST；共同指导；Individualized Interdisciplinary Program
Shihong GAO校友 · PhDIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD	Ph.D Student in Department of Computer Science and Engineering, HKUST；共同指导；Individualized Interdisciplinary Program
Hao XIN校友 · PhDCSE	2024 HKUST PhD	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Jiawei Zhou校友 · PhDIndividualized Interdisciplinary Program (Data Science and Analytics)	2026 HKUST PhD	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11；Individualized Interdisciplinary Program
Yushi SUN校友 · PhDCSE	2025 HKUST PhD	knowledge graph construction/refinement Knowledge Base 组页，更新于 2024-03-11
Xueling LIN (Sherry)校友 · Graduate student	—
Meng RUI (Rachel)校友 · Graduate student	—
Yunfan CHEN校友 · Graduate student	—
Anxin Tian校友 · PhDIndividualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD	graph data management ；Individualized Interdisciplinary Program
Xun Jian校友 · PhD	—	graph data management
Yue Wang校友 · PhD	—	graph data management
Zijian Li校友 · PhD	—	graph data management
Xiaofei Zhang校友 · PhD	—	graph data management
Xiang Lian校友 · PhD	—	graph data management
Yongxin Tong校友 · PhD · 2014	—	Professor, Beihang University
Yingxia Shao校友 · RA	—	graph data management
Wenjie Liu校友 · Visitor	—	graph data management
Maocheng Li校友 · PhDCSE	2025 HKUST PhD	spatial-temporal crowdsourcing
Jiachuan Wang校友 · PhDCSE	2024 HKUST PhD	spatial-temporal crowdsourcing
Zengyang Gong校友 · PhDCSE	2025 HKUST PhD	spatial-temporal crowdsourcing
Zhao Chen校友 · PhD · 2020	—
Libin Zheng (Robin)校友 · PhD · 2019	—	Associate Professor, Sun Yat-sen University
Peng Cheng校友 · PhD · 2017	—	Researcher / Associate Professor, East China Normal University
Chen Cao校友 · PhD · 2014	—
Rui Fu校友 · MPhil · 2015	—
Leihao Xia校友 · MPhil · 2015	—
Ziyuan Zhao校友 · MPhil · 2015	—	WeChat, Tencent
Jiayang Tu (Fiona)校友 · MPhil · 2018	—	Lenovo HK
Manli Yu校友 · MPhil · 2021	—
Zihuan Xu校友 · PhDCSE	Sichuan University BEng HKUST MSc, IT 2023 HKUST PhD	database and blockchain systems
Wangze Ni校友 · PhDCSE	Zhejiang University BEng HKUST MPhil, TLE 2023 HKUST PhD	database and blockchain systems
Weijie Sun校友 · PhDCSE	Zhejiang University BEng 2026 HKUST PhD	database and blockchain systems
Nian Chen校友 · MPhil	Zhejiang University BA HKUST MPhil, TLE
Weihong Wang校友 · RA	Huazhong University of Science and Technology BEng
Xin Zhang校友 · PhD · 2026Individualized Interdisciplinary Program (Data Science and Analytics)	—	；Individualized Interdisciplinary Program
Jingzhi Fang校友 · PhD · 2024CSE	—
Alexander Tiannan Zhou校友 · PhD · 2024CSE	—
Man Li校友 · PhD · 2023Industrial Engineering and Decision Analytics	—	共同指导；
Yiming Li校友 · PhD · 2023CSE	—
Xueyang Wu校友 · PhD · 2023CSE	—	共同指导；
Mengxuan Li校友 · MPhil · 2025CSE	—
Kai Hiu Chung校友 · MPhil · 2023CSE	—

教育与履历

教育背景

1994
Tianjin University
BSc, Computer Science
1997
Asian Institute of Technology
Master, Computer Science
2005
University of Waterloo
PhD, Computer Science

任职经历

HKUST CSE
Chair Professor

学术服务

数据库与数据驱动计算资深教师，覆盖多个交叉分支。

主页确认 IEEE Fellow、ACM Distinguished Scientist；SIGMOD 2015 Test-of-Time；Sancus 获 VLDB 2022 Best Research Paper。

业界合作与实习

合作机构: 1家
合作记录: 2条
成员产业经历: 0条

学校项目记录列有企业资助的研究项目。

Microsoft Research Asia 资助研究项目
牵头项目 A Deep Learning Algorithm for Aging Prediction Based on Plasma Protein（2022 - 2024）
Microsoft Research Asia 资助研究项目
牵头项目 EXPLAINABLE AI: A Hybrid Approach with Visualization, Model, Knowledge and Metamorphic Relation（2020 - 2024）

学术影响与网络关注

计算标准

院系样本分位

累计引用90P90

h-index93P93

2024–2026 论文96P96

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 1,047 篇 · i10-index 410 · 截至 2026-10-17

Shing-Chi CHEUNG

張成志

Chair Professor

个人主页 · 学校档案 · 档案

实验室: CASTLE Research Group
博士毕业于: Imperial College London / University of London · 1994
研究主线: Software testing and analysis；AI and mobile software development；Generative and spreadsheet programming；Software analytics；Cybersecurity

累计引用: 8,888次
h-index: 48
2024–2026 论文: 71篇
在组成员: 15人

研究方向

长期测试、fault localization、mobile/web、smart contract 与 spreadsheet；当前主线使用静态分析、验证、经验研究与 agentic AI 处理软件工程真实问题。

测试/分析基础、实证故障与 AI 工具结合

MR-Adopt 用 LLM 后接 data-flow 与 oracle；Opera 复用 library tests 找 compiler frontend bugs；MASLeak 分析协作系统边界。

代表论文与近期发表

2024MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic TestingASE

研究问题: hard-coded metamorphic tests 缺输入变换，无法泛化新样例。
核心方法: LLM 扩展例子并生成 transformation，用 data-flow 修剪与输出关系验证选择。
实验结果: 72% MR 的变换泛化到全部准备输入；line coverage 增 10.62%、mutation score 增 18.91%。
实验条件与边界: 泛化范围是评测输入集，受 LLM 与已存在 MR 约束。
课题组研究线: 延续 metamorphic testing 与自动程序分析。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025A Tale of Two DL Cities: When Library Tests Meet CompilerICSE

研究问题: DL compiler model-loading 阶段测试不足。
核心方法: Opera 从 library tests 抽取 operator instances，模板迁移并按多样性排序。
实验结果: 8 frontends、3 compilers 上发现 170 个此前未知 bug，其中 90 个获确认或修复。
实验条件与边界: 确认数与总报告数分开；依赖 test migration 的 API 覆盖。
课题组研究线: 复用已有软件测试知识验证新执行边界。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2026IP Leakage Attacks Targeting LLM-Based Multi-Agent SystemsUSENIX Security（主页名 MASLeak）；已读 2025 作者稿

研究问题: 黑盒多 agent 应用的配置、prompt 与拓扑可能被输入查询泄露。
核心方法: MASLeak 构造跨 agent 传播、保留信息的查询，评测 synthetic 与作者搭建的真实平台应用。
实验结果: 810 个 synthetic MAS；文中报告 prompt/instruction 平均成功率 87%、architecture 92%。
实验条件与边界: 数字取自 2025 v3 作者稿与受控部署；最终 2026 版需比对。
课题组研究线: 把软件系统边界测试扩展到 agent 架构。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 71 篇）

2026 年21 篇

2025 年33 篇

2024 年17 篇

实验室与成员

CASTLE Research Group

博士生: 11
硕士生: 4

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Software testing and analysis；AI and mobile software development；Generative and spreadsheet programming；Software analytics；Cybersecurity

在组成员15

成员	教育背景	研究方向与经历
Meiziniu LiPhDCSE GitHub GitHub 关注 10 Stars 14	2020 HUST BSc, AI and Automation	LLM-driven software testing；TensorFlow/PyTorch library analysis PhD student working on deep learning library testing；曾随 UIUC Lingming Zhang 访问研究
Tsz-On LiPhDCSE	—	neural-symbolic test generation PhD student working on neural-symbolic test generation
Xiao ChenPhDCSE	—	neural-symbolic code analysis and test update PhD student working on neural-symbolic code analysis and test update
Xiaolei LiPhDCSE	—	neural-symbolic fault detection for mobile apps PhD student working on neural-symbolic fault detection for mobile apps
Songqiang ChenPhDCSE DBLP · ORCID DBLP 近三年 30	Wuhan University Bachelor Wuhan University Master	AI4SE、SE4AI、metamorphic testing PhD student working on neural-symbolic software engineering；本科和硕士导师 Xiaoyuan Xie
Weiqi LuPhDCSE	—	neural-symbolic fault detection for data visualization software PhD student working on neural-symbolic fault detection for data visualization software
Dongze LiPhDCSE GitHub 关注 0 Stars 0	—	intelligent software engineering PhD student working on intelligent software engineering
Jingyi ChenPhDCSE GitHub GitHub 关注 1 Stars 1	2024 Nankai University BS, Computer Science and Technology 2024– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Shing-Chi Cheung；Jiasi Shen	AI for Software Engineering、检索增强代码生成 PhD student
Zongyi LyuPhDCSE 简历 · GitHub GitHub 关注 1 Stars 0	2024 Harbin Institute of Technology, Shenzhen Bachelor	SE for AI、coding-agent testing、causality-based analysis PhD student；本科导师 Cuiyun Gao
Xiaohan Zhong, ElaineMPhilCSE	—	software engineering and Generative AI MPhil student working on software engineering and Generative AI
Hau Ching Lo, YoannaMPhilCSE	—	software engineering and Generative AI MPhil student working on software engineering and Generative AI
Zhengdong HuangPhDCSE	—
Yuanmin XiePhDCSE	—
Yu Hang ChowMPhilCSE	—
Tsz Tou ChuiMPhilCSE	—

校友与去向53

成员	教育背景	研究方向与经历
Wing-Kwong Chan, Ricky校友 · Postdoc · 2005–2006 DBLP · ORCID DBLP 近三年 18	2004 University of Hong Kong PhD	Associate Professor, City University of Hong Kong PhD 2004, HKU
Lu Liu校友 · PhD · 2026CSE 简历 · GitHub GitHub 关注 4 Stars 6	2026 HKUST PhD	Enhancing Smart Contract Security: Empirical Characterization, Fault Analysis, and Vulnerability Detection Huawei Huawei PhD 2026
Congying Xu校友 · PhD · 2026CSE	2026 HKUST PhD	Automated and Effective Metamorphic Testing: Relation Discovery, Deduction, and Generation PhD 2026
Haoyang Ma校友 · PhD · 2025CSE	2025 HKUST PhD	Fault Characterization and Testing for Domain-Specific Compilers ByteDance ByteDance PhD 2025
Hengcheng Zhu校友 · PhD · 2025CSE DBLP · ORCID DBLP 近三年 21	2025 HKUST PhD	Towards Emulating Interactions for Effective Software Testing PhD 2025
Jiarong Wu校友 · PhD · 2025CSE	2025 HKUST PhD	Towards Bridging Human Requirements and Program Synthesis Huawei Huawei PhD 2025
Wuqi Zhang校友 · PhD · 2024CSE	2024 HKUST PhD	Defect Detection for Smart Contracts and Blockchain Applications MegaETH MegaETH PhD 2024
Ka Wing Yoyo Yeung校友 · MPhil · 2024CSE	2024 HKUST MPhil	Incorporating Domain-Specific Insights for Automated Test Generation MPhil 2024
Jialun Cao校友 · PhD · 2024CSE	2024 HKUST PhD	Towards Automatic Testing and Fault Localization in Natural Language Processing Systems Research Assistant Professor, HKUST Research Assistant Professor, HKUST PhD 2024
Jiajun Hu校友 · PhD · 2024CSE	2024 HKUST PhD	Towards Automated Testing of WebViews in Android Applications Huawei (Hong Kong) Huawei (Hong Kong) PhD 2024
Huaxun Huang校友 · PhD · 2023CSE GitHub GitHub 关注 3 Stars 0	2023 HKUST PhD	Towards Automatic Detection and Repair of Compatibility Issues in Android Apps Xiamen University Xiamen University PhD 2023
Yongqiang Tian校友 · Dual-PhD · 2023CSE	2023 HKUST PhD	Assessing the Reliability of Deep Learning Applications Monash University Monash University Dual-PhD 2023
Ching Hang Mak, David校友 · MPhil · 2023CSE	2023 HKUST MPhil	Test Dependency Minimization for Java Programs PhD student, HKUST PhD student, HKUST MPhil 2023
Yuqing Quan校友 · MPhil · 2023CSE	2023 HKUST MPhil	Restation: Effective Identifying Dependencies between Restful APIs via Dynamic Analysis MPhil 2023；共同指导
Hang Xu校友 · MPhil · 2020	—	Coverage-Directed Differential Testing of EVM Implementations Tencent Tencent MPhil 2020
Lili Wei校友 · PhD · 2020 GitHub GitHub 关注 36 Stars 4	—	Taming Fragmentation-Induced Compatibility Issues in Android Applications McGill University McGill University PhD 2020
Mijung Kim校友 · PhD · 2019	—	Towards Practical Automated Software Testing UNIST UNIST PhD 2019
Ming Wen校友 · PhD · 2019 DBLP · ORCID DBLP 近三年 28	—	Utilizing Code Change Information for Better Automated Debugging Huazhong University of Science and Technology (HUST) Huazhong University of Science and Technology (HUST) PhD 2019
King Sun Chan校友 · MPhil · 2018	—	Assessing Relative Code Complexity Introduced by Optional Features to a Software Product Line MPhil 2018
Rongxin Wu校友 · PhD · 2017	—	Automated Techniques for Diagnosing Crashing Bugs Xiamen University Xiamen University PhD 2017
Valerio Terragni校友 · PhD · 2017	—	Towards Effective Regression Testing of Concurrent Programs University of Auckland University of Auckland PhD 2017
Yepang Liu校友 · PhD · 2015	—	Automated Analysis of Energy Efficiency and Execution Performance for Mobile Applications Southern University of Science and Technology (SUSTech) Southern University of Science and Technology (SUSTech) PhD 2015
Wanjun Chen, Melody校友 · MPhil · 2015	—	Automatic Spreadsheet Cell Clustering and Smell Detection using Strong and Weak Features Goldman Sachs Goldman Sachs MPhil 2015
Yueqi Li校友 · PhD · 2015	—	Scalable Symbolic Analysis of Large Real World Programs Using API Abstraction and Execution Histories Entrepreneur Entrepreneur PhD 2015；MPhil 2010 MPhil 2010
Qiaona Hong校友 · MPhil · 2013	—	The Anatomy of Developer Social Networks Bank of America Bank of America MPhil 2013
Tate Poon校友 · MPhil · 2012	—	A Study of Eliminating Irrelevant Access Patterns for Fault Localization in Concurrent Programs OGCIO OGCIO MPhil 2012
Liping Gao校友 · MPhil · 2011	—	Failure Proximity for Context-Aware Applications Sogou Tech Sogou Tech MPhil 2011
Cham-ho Ting, Ivan校友 · MPhil · 2010	—	Testing Strategy in Discovering Faults in Workflow MPhil 2010
Xinming Wang, Rubin校友 · PhD · 2010	—	Automatic Localization of Code Omission Faults Lakala Finance Lakala Finance PhD 2010
Zhifeng Lai校友 · PhD · 2010	—	Effective Detection of Atomic-Set Serializability Violation in Multithreaded Programs AIA AIA PhD 2010
Dongming Xu校友 · MPhil · 2009	—	On the testing of the RFID security MPhil Computer Science and Technology 2009
Chunlin Zhu校友 · MPhil · 2009	—	Classify and Rank Daikon Invariants on Embedded Systems CMB Capital International ( 招银国际 ) ) MPhil 2009
Chunyang YE, Jerry校友 · PhD · 2008	—	Atomicity Analysis for Service Composition Professor, Hainan University Professor, Hainan University PhD 2008
Chang XU校友 · PhD · 2008	—	Inconsistency Detection and Resolution for Context-Aware Pervasive Computing Professor, Department of Computer Science, Nanjing University Nanjing University PhD 2008
Tsz Hin NG, Sam校友 · PhD · 2008	—	The Effects of Pre-deploying Design Patterns on Software Changes PCCW PCCW PhD 2008
Mian Qin校友 · MPhil · 2008	—	Wireless Sensor Network Fault Localization Thesis: Wireless Sensor Network Fault Localization MPhil 2008
Yuet-Mei LO, Cindy校友 · MPhil · 2005	—	Business Process Atomicity Analysis Supporting Late Task Property Bindings MPhil 2005
Yu-Ho YIU, Matt校友 · MSc · 2005	—	HSBC MSc 2005
Wing-Leung CHAN, Christina校友 · MSc · 2004	—	MSc 2004
Sze-Chit HO, Cedric校友 · MPhil · 2004	—	A Framework for the Verification of Watermarking Protocols. Google, Mountain View, USA Google, Mountain View, USA MPhil 2004
Chin-Ching TSOI, Lancelot校友 · MSc · 2004	—	Pacific Supernet MSc 2004
Sze-Wan LEE, Yoki校友 · MSc · 2003	—	Project Manager, PeopleSoft MSc 2003
Kelvin LEUNG校友 · MSc · 2002	—	MSc 2002
Hanif CURREEM校友 · MPhil · 2002	—	Digital Copyright Management. ABN AMRO ABN AMRO MPhil 2002
Zhengdong Xu校友 · MPhil · 2001	—	Testing of Distributed Multimedia Systems. MPhil 2001
Ting-Pong IP, Vincent校友 · MSc · 2000	—	Cathay Pacific MSc 2000
Ka-Cheong WONG校友 · MPhil · 2000	—	Digital Rights Protection Against Watermark Attacks. AsiaPacific.net AsiaPacific.net MPhil 2000
Man-Yee CHAN校友 · MPhil · 1999	—	Extending White Box Testing to Database Applications. to Database Applications. MPhil 1999
Chi-Yung LAM校友 · MPhil · 1999	—	Modeling and Analyzing Web-Based Information Systems. Web-Based Information Systems. MPhil 1999
Kam-Fai LEUNG校友 · MPhil · 1998	—	A Framework for the Flexible Coupling of Groupware Widgets. Standard Chartered Bank Standard Chartered Bank MPhil 1998
Kwok-Hung CHEUNG, Herman校友 · MPhil · 1998	—	Compositional Analysis of Distributed Software Systems. Enterpreneur Enterpreneur MPhil 1998
Kam-Keung WONG校友 · MPhil · 1997	—	Distributed Multimedia Authoring using Software Structures. MPhil 1997
Chun-Man LO校友 · MPhil · 1996	—	Verification of Dense Real-Time Distributed Systems by Using Discrete-Time Methods. MPhil 1996

教育与履历

教育背景

University of Hong Kong
BEng, Electrical Engineering
1994
Imperial College London / University of London
PhD, Computing

任职经历

1994–
HKUST CSE
Faculty; currently Chair Professor

学术服务

软件测试与分析资深教师，培养与领域服务有明确记录。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

学校项目记录列有企业资助的研究项目。

Microsoft Research Asia 资助研究项目
参与项目 EXPLAINABLE AI: A Hybrid Approach with Visualization, Model, Knowledge and Metamorphic Relation（2020 - 2024）

学术影响与网络关注

计算标准

院系样本分位

累计引用68P68

h-index70P70

2024–2026 论文77P77

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 484 篇 · i10-index 183 · 截至 2026-10-17

Yike GUO

郭毅可

Chair Professor

个人主页 · 学校档案 · 档案

实验室: Yike Guo 研究组
博士毕业于: Imperial College London · 1994
出生与年龄: 1962 年生 · 63–64 岁
研究主线: 数据科学与科学应用；音乐与多模态生成；AI for Science 与金融

累计引用: 21,913次
h-index: 70
2024–2026 论文: 217篇
在组成员: 65人

研究方向

数据科学与科学应用
数据挖掘、机器学习、分布式数据与大规模 scientific applications。
音乐与多模态生成
语言音乐表征、长歌曲生成、音频视频条件统一。
AI for Science 与金融
分子表示、生命科学以及金融 AI 等跨领域应用；岗位含 DXM joint lab director。

长期科学数据挖掘与机器学习是官方稳定方向，近期合作明显包含科学表示学习和创意 AI。2024 分子知识增强学习、2025 YuE、2026 AudioX 展示跨领域模型研究；它们反映团队合作版图，无法据此断定本人日常主导的具体课题和学生任务。

跨领域研究平台与大型合作

官方科学应用覆盖面广，近期工作中有大规模数据、模型与开源发布；直接监督机制需要本人和学生补充。

代表论文与近期发表

2024APK-MRL: An Adaptive Pre-training Framework with Knowledge-enhanced for Molecular Representation LearningIEEE BIBM 2024

研究问题: 分子对比学习受数据依赖与增强造成知识稀缺限制。
核心方法: 融合分层骨架与化学语义先验，形成知识增强自适应预训练。
实验结果: 作者报告 drug-target interaction 和分子属性预测上相较基线有竞争力，并公开代码。
实验条件与边界: 仅有 computational experiments 摘要；不能推断新药有效性、实验室验证或临床结果。
课题组研究线: 体现数据科学和领域知识整合的科学应用。
核阅章节: Abstract（完整摘要）

2025YuE: Scaling Open Foundation Models for Long-Form Music GenerationarXiv 2025

研究问题: 长 lyrics-to-song 需要同时保持歌词对齐、段落结构和伴奏质量。
核心方法: Track-decoupled next-token prediction、结构渐进条件、多任务多阶段训练，扩展音乐 in-context learning。 Introduction 区分长程依赖、多声部信号、歌唱音素与配对数据稀缺；CLAP-score 与人评未必对齐，需音乐专用指标。
实验结果: 摘要报告最多 5 分钟音乐、trillion-token 训练及 MARBLE 理解任务表现；v2 对比段指出仍落后于 Suno V4。
实验条件与边界: 结论将声学保真、混音、和弦及配器知识、更深韵律情感控制和弱覆盖文化继续列为改进方向。
课题组研究线: 从音乐符号理解推进到完整长音频基础模型。
核阅章节: Abstract（完整）、1 Introduction（完整）、13 Conclusion and Future Work（完整）、v2 第 6.1 节商业系统比较（搜索返回）

2026AudioX: A Unified Framework for Anything-to-Audio GenerationICLR 2026；所读 arXiv v3

研究问题: 音频生成需在同一框架中处理不同控制模态和大规模高质量监督。
核心方法: Multimodal Adaptive Fusion 合并文本、视频、音频条件；IF-caps 含超过 7M 样本。
实验结果: 作者报告多任务优于所比方法，尤其文本到音频与音乐。
实验条件与边界: 本档使用 v3 数据口径；任意模态组合和生产可控性需查完整实验。
课题组研究线: 扩展为跨模态的声音生成平台。
核阅章节: Abstract（完整摘要）

2025FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning EvaluationACL 2025

研究问题: 通用多模态评测不足以反映高知识密度金融报告与图表分析的要求。
核心方法: 构建逾 1.1 万金融样本，覆盖 18 个领域、6 类资产、10 类主要图表与 21 个子类；20 名标注者参与验证。FinScore 纳入幻觉惩罚和领域归一化。
实验结果: 评测 6 个专有和 11 个开源模型；引言报告领先模型总体表现仅略高于 50%，不同提示下预测标准差低于 1%。
实验条件与边界: 主要是选择题和计算题，无法完整刻画现实分析流程；复杂概念可能留下标注偏差。尚未覆盖音视频、实时数据和噪声输入。评测分数不代表真实投资回报或金融决策效用。
课题组研究线: 为其金融数据科学方向提供具体证据，贡献是领域数据与诊断评测，和音乐生成、生命科学表示形成多应用并行。
核阅章节: Abstract（完整）、1 Introduction（完整）、6 Conclusion（完整）、Limitations（完整）

2024–2026 论文目录（共 217 篇）

2026 年89 篇

2025 年82 篇

2024 年46 篇

实验室与成员

Yike Guo 研究组

博士生: 64
硕士生: 1

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

数据科学与科学应用；音乐与多模态生成；AI for Science 与金融

在组成员65

成员	教育背景	研究方向与经历
CHEN, JialiangPhD, IIP	—	共同指导
CHEN, LongPhD, IIP	—	共同指导
CHEN, PengyuPhD, IIP	—
CHEN, WenqiPhD, CSE	—
DU, MengfeiPhD, IIP	—	共同指导
FAN, LiaoyuanPhD, Arts and Machine Creativity	—	共同指导
HUANG, YidanPhD, IIP	—	共同指导
LIAO, XinyaoPhD, IIP	—	共同指导
LIN, ZikangPhD, IIP	—
WANG, DengyuxingPhD, CSE	—
WANG, DongyuPhD, Arts and Machine Creativity	—	共同指导
XU, HuaPhD, ECE	—
YANG, JianPhD, IIP	—
YANG, ZhiqinPhD, IIP · 2025– Google Scholar · GitHub · LinkedIn GitHub 关注 23 Stars 292	Nanjing University of Science and Technology BS 2024 Beihang University MS 2025– HKUST PhD	LLM 推理与偏好对齐、智能体记忆、协同学习 GigaAI · Algorithm Intern2024-06–2024-09 Tencent LightSpeed · Algorithm Intern2025-11–2026-02 HKGAI · Algorithm Intern2025-08–2025-10 共同导师 Yike Guo、Wei Xue
ZHANG, XiaojiePhD, IIP	—	共同指导
ZHANG, ZifuPhD, Arts and Machine Creativity	—	共同指导
ZHAO, HengyuePhD, IIP	—
ZHENG, HuajiangPhD, IIP	—
ZHENG, MingxuanPhD, ECE	—
ZHOU, WuyouPhD, IIP	—	共同指导
BIAN, WeizhenPhD, IIP	—	共同指导
CUI, YakunPhD, IIP	—	共同指导
DENG, NingPhD, IIP	—	共同指导
GU, HaoPhD, IIP	—	共同指导
GUO, YijiePhD, IIP	—
KOU, ZhizhuoPhD, IIP	—	共同指导
LI, RuoxiPhD, IIP	—	共同指导
LIN, SidaPhD, IIP	—
LU, GuoyingPhD, IIP	—	共同指导
NING, Evan KPhD, CSE	—
SHI, XuanyuPhD, IIP	—
SUN, JiapengPhD, IIP	—	共同指导
WANG, DuorongPhD, IIP	—
WANG, YurenPhD, CSE	—
ZHANG, JingyiPhD, IIP	—
ZHANG, YantingPhD, IIP	—	共同指导
ZHANG, ZhenyuanPhD, IIP · 2025-02– GitHub · Google Scholar GitHub 关注 14 Stars 31	2021 Nanjing University of Science and Technology BEng, Software Engineering HKUST 入学前 Nanjing University of Science and Technology PhD study, direct entry 2025-02– HKUST PhD, Artificial Intelligence	智能体记忆、动作生成、VLA 与具身智能共同导师 Yike Guo、Wei Xue；此前在 NJUST 随 Jianfeng Lu 读直博。
ZHOU, QinyiPhD, IIP	—
ZHOU, YujinPhD, IIP	—	共同指导
ZHU, JunqiPhD, IIP	—	共同指导
ZHU, QiyuanPhD, IIP	—
CAI, YiyangPhD, IIP	—
CAO, ChuxuePhD, IIP	—	共同指导
CHAN, Chi-minPhD, IIP	—
CHEN, BaoyangPhD, IIP	—	共同指导
CHENG, SitongPhD, IIP · 2024-09– GitHub · Google Scholar GitHub 关注 19 Stars 74	2017–2021 Beijing University of Posts and Telecommunications BEng 2021–2022 CUHK MSc, Computer Science 2024-09– HKUST PhD	音频理解与生成、表达性同步语音到语音翻译 Microsoft Research Asia · Industry experience2021-02–2021-05 共同导师 Wei Xue、Yike Guo
HAN, SiruiPhD, CSE	—
JIA, XianzhangPhD, IIP	—
JIANG, ChunyangPhD, IIP	—
JIN, YizhuPhD, IIP	—	共同指导
JU, ChengyiPhD, CSE	—
LI, YanPhD, IIP	—
LIU, XinyuPhD, IIP · 2024-01– GitHub · Google Scholar GitHub 关注 11 Stars 121	Xidian University BEng, Communication Engineering Xidian University MSc, Computer Science and Technology 2024-01– HKUST PhD, Artificial Intelligence	可控视频生成和编辑、统一多模态理解生成、强化学习后训练 Tsinghua University AIR · Research Intern2022-04–2023-10 Alibaba Tongyi Wan · Research Intern2025-05–2025-12 Kuaishou Kling · Research Intern2026-03–2026-07 共同导师 Yike Guo、Wenhan Luo
LIU, YulongPhD, CSE	—
LU, YiwenPhD, IIP	—
SIMA, QiePhD, IIP	—
WANG, ZhiqiangPhD, IIP	—	共同指导
XU, YuchengPhD, CSE	—
ZHU, ChuanboPhD, IIP	—
ZHU, HanPhD, IIP	—	共同指导
LI, MengfeiPhD, IIP	—
TIAN, ZeyuePhD, IIP	—
YUAN, RuibinPhD, IIP	—
ZHOU, ZiyaPhD, IIP	—
PENG, SiyuMPhil, IIP	—	共同指导

校友与去向8

成员	教育背景	研究方向与经历
CHEN, Jianyi校友 · PhD, IIP · 2026	2026 HKUST PhD, IIP	共同指导
CHI, Xiaowei校友 · PhD, IIP · 2026	2026 HKUST PhD, IIP
LI, Lujun校友 · PhD, IIP · 2026	2026 HKUST PhD, IIP
LI, Peng校友 · PhD, IIP · 2026	2026 HKUST PhD, IIP
QI, Xingqun校友 · PhD, IIP · 2026 Google Scholar	Beijing University of Posts and Telecommunications / Queen Mary University of London Bachelor, joint program 2022 Beijing University of Posts and Telecommunications Master 2026 HKUST PhD, IIP	三维人体运动建模、医学图像分析与生物特征识别导师 Yike Guo；共同导师 Qifeng Liu
YE, Zhen校友 · PhD, IIP · 2026	2026 HKUST PhD, IIP	共同指导
ZENG, Min校友 · PhD, ECE · 2025	2025 HKUST PhD, ECE
WEN, Pengcheng校友 · MPhil, IIP · 2026	2026 HKUST MPhil, IIP	共同指导

教育与履历

教育背景

1985
Tsinghua University
Bachelor, Computing Science
1994
Imperial College London
PhD, Computing
导师 John Darlington

任职经历

2002–
Imperial College London
Professor of Computing
2009 年售出
InforSense (Imperial College spin-out)
Founder
2014–
Imperial College London
Founding Director, Data Science Institute
2015–2020
Shanghai University
Non-Executive Dean, Computer Engineering and Science
2020–2022
Hong Kong Baptist University
Vice-President (Research and Development); Graduate School Dean
2022-12–
HKUST
Provost; Chair Professor, CSE

学术服务

资深数据科学研究者兼大学管理者，学术地位、组织职责与实际带生安排应分别确认。

1962 年出生于上海；凤凰网《君品谈》2024-03-07 人物访谈所载。

2024 年《君品谈》访谈将人和机器互相理解、技术释放创造性工作的空间作为其 AI 研究愿景。

博士导师为 John Darlington。

2020 年本人访谈将真实、大规模产业问题与跨学科大数据研究相联系，列举铁路安全与污染等应用。

指导方式与组内生活

博士毕业生去向

在 2020 年欧洲科学院访谈中，郭毅可表示其博士毕业生中有多人已在制药行业担任高级技术负责人。

业界合作与实习

合作机构: 10家
合作记录: 11条
成员产业经历: 7条

GSK（research collaboration）；Pfizer（research collaboration）；Roche（research collaboration）；KPMG（research collaboration）；Huawei（research collaboration）；BBC（research collaboration）

GSK 研究合作
官方履历列出的产业研究与咨询合作
Pfizer 研究合作
官方履历列出的产业研究与咨询合作
Roche 研究合作
官方履历列出的产业研究与咨询合作
KPMG 研究合作
官方履历列出的产业研究与咨询合作
Huawei 研究合作
官方履历列出的产业研究与咨询合作
BBC 研究合作
官方履历列出的产业研究与咨询合作
Duxiaoman Technology (Beijing) Co., Ltd. 资助研究项目
金融信贷慢思考大模型；负责人，合作成员 Sirui Han、Dong Lou；2024–
InforSense 创办企业，历史记录
2020 年本人访谈记述：创办 Imperial College 衍生企业 InforSense，技术用于制药业大数据处理；公司于 2009 年出售。
Huawei 历史产业合作
2020 年欧洲科学院访谈中本人列举的中国企业合作对象，合作背景为计算与大数据研究。
HNA 历史产业合作
2020 年欧洲科学院访谈中本人列举的中国企业合作对象，合作背景为计算与大数据研究。
China Construction Bank 历史产业合作
2020 年欧洲科学院访谈中本人列举的中国企业合作对象，合作背景为计算与大数据研究。

成员实习与产业经历

2021-02–2021-05
CHENG, Sitong · Microsoft Research Asia
Industry experience；BUPT 本科阶段；Industry experience
2022-04–2023-10
LIU, Xinyu · Tsinghua University AIR
Research Intern；HKUST 博士入学前；Research Intern
2024-06–2024-09
YANG, Zhiqin · GigaAI
Algorithm Intern；HKUST 博士入学前；Algorithm Intern
2025-11–2026-02
YANG, Zhiqin · Tencent LightSpeed
Algorithm Intern；HKUST 博士阶段；Algorithm Intern
2025-08–2025-10
YANG, Zhiqin · HKGAI
Algorithm Intern；博士入学当年的经历；Algorithm Intern
2025-05–2025-12
LIU, Xinyu · Alibaba Tongyi Wan
Research Intern；HKUST 博士阶段；Research Intern
2026-03–2026-07
LIU, Xinyu · Kuaishou Kling
Research Intern；HKUST 博士阶段；Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用88P88

h-index90P90

2024–2026 论文98P98

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 986 篇 · i10-index 300 · 截至 2026-10-17

Wikipedia 人物条目

近 12 个月浏览量: 3,154次

Jiaya JIA

賈佳亞

Chair Professor

个人主页 · 学校档案 · 档案

实验室: Jiaya Jia 研究组
博士毕业于: HKUST · 2004
研究主线: 视觉理解与计算成像；多模态与生成模型；模型推理与 RL

累计引用: 76,881次
h-index: 109
2024–2026 论文: 88篇
在组成员: 30人

研究方向

视觉理解与计算成像
图像视频理解、恢复、分割、计算成像；具有多年视觉与图形学积累。
多模态与生成模型
VLM、omni-cognition、视频生成和编辑。
模型推理与 RL
长链推理、奖励学习、视觉推理与 VLA。

2011—2012 图像平滑与结构提取获得多年后的 test-of-time 认可；2023—2024 的 LISA、LongLoRA、Mini-Gemini 将视觉研究与语言模型连接；2024—2026 的 Step-DPO、Lyra、VisionReasoner 扩展到细粒度奖励、语音与多任务感知。由公开论文可见明显扩张，多模态感知和可控生成维持连续；研究强度与个人指导参与程度需分别询问。

长期视觉基础上的大模型平台与方法扩展

既有视觉算法和当前跨模态模型形成较宽研究组合；选题同时包含模型系统、训练目标与评测。

代表论文与近期发表

2024Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMsarXiv 2024

研究问题: 整答案偏好学习难以识别长数学推理链中的局部错误。
核心方法: 以推理步骤为偏好单位，构建 10K step-wise pairs，并比较自生成与外部分布数据。
实验结果: 摘要报告 Qwen2-72B-Instruct 在 MATH 70.8%、GSM8K 94.0%；超过 70B 模型以少于 500 步训练获得近 3% MATH 改善。
实验条件与边界: 结果依赖题目、基座和数据生成流程。
课题组研究线: 把视觉组的学习系统能力扩展到细粒度推理监督。
核阅章节: Abstract（完整摘要）

2025Lyra: An Efficient and Speech-Centric Framework for Omni-CognitionICCV 2025

研究问题: Omni 模型对语音及其与其他模态整合覆盖不足。
核心方法: 复用开放模型和 multi-modality LoRA，加入 latent regularizer、extractor；使用 1.5M 多模态样本与 12K 长语音样本。
实验结果: 作者报告多项视觉语言、视觉语音、语音语言任务的先进表现，并使用较少计算和训练数据。
实验条件与边界: 不能仅凭摘要认定全面最优。
课题组研究线: 从图像语言扩展到以语音为中心的全模态接口。
核阅章节: Abstract（完整摘要）

2026VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement LearningICLR 2026（教师出版页）

研究问题: 检测、分割与计数任务需要共享感知与推理能力。
核心方法: 统一奖励机制与 multi-object cognitive learning，在输出前生成结构化推理过程。 Introduction 补充 7B 模型使用 7K 样本；奖励涵盖格式、非重复、multi-object IoU 和 L1，匹配结合 batch computation 与 Hungarian algorithm。
实验结果: 作者在 10 项任务上评估；相对 Qwen2.5VL，在 COCO、ReasonSeg、CountBench 分别报告 29.1%、22.1%、13.2% 的相对增益。
实验条件与边界: 统一目标仍限定 detection、segmentation 和 counting 等感知；忠实性结论来自作者人评，独立复核与跨域验证未执行。
课题组研究线: 连接既有感知任务和当前 reasoning RL。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Conclusion（完整）

2025DreamOmni: Unified Image Generation and EditingCVPR 2025；2024 初版预印本

研究问题: 文本生图模型与指令、拖拽等编辑任务缺少统一框架和规模化训练数据。
核心方法: 统一文本生成与多种编辑任务，以贴纸式元素合成高质量配对编辑数据，联合训练文本生图和编辑。引言比较计算分配相近的 U-Net 与 DiT，采用高分辨率 latent 计算及残差连接；以 VLM 替代纯文本编码器，统一处理图像与语言提示。
实验结果: 摘要和结论报告合成数据管线增强文字、位置、数量、颜色与几何控制，联合训练同时支持概念理解和编辑要求。
课题组研究线: 覆盖统一图像生成与编辑方向，与三维生成和多模态推理形成相邻分支。
核阅章节: Abstract（完整，CVPR 与 arXiv 交叉核对）、1 Introudction（Introduction，原文如此拼写；完整）、5 Conclusion（完整）

2024–2026 论文目录（共 88 篇）

2026 年28 篇

2025 年39 篇

2024 年21 篇

实验室与成员

Jiaya Jia 研究组

博士生: 29
博士后: 1

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

视觉理解与计算成像；多模态与生成模型；模型推理与 RL

在组成员30

成员	教育背景	研究方向与经历
LU ChangshengPostdoc · 2025 - present	—
WANG YiboPhD, CSE · 2026 - present	—
YAO HuanjinPhD, CSE · 2026 - present	—
ZHOU YiduanPhD, CSE · 2026 - present	—
GONG YiPhD, CSE · 2026 - present	—
SUN BentengPhD, CSE · 2026 - present	—
WANG JianPhD, CSE · 2026 - present	—
PENG ShangpinPhD, CSE · 2026 - present	—
ZHAO XiaoruiPhD, CSE · 2026 - present	—
TUO KaiwenPhD, CSE · 2026 - present	—
ZHENG ShenghePhD, CSE · 2026 - present	—
HUANG JiehuiPhD, CSE · 2025 - present	—
ZHANG WenhuPhD, CSE · 2025 - present	—
YE JinhuiPhD, CSE · 2025 - present	—
CHEN YuxinPhD, CSE · 2025 - present	—
ZHANG XichenPhD, CSE · 2025 - present	—
WANG ZixuanPhD, CSE · 2025 - present	—
CHU MengPhD, CSE · 2024 - present	—
QU TianyuanPh.D. student · 2024 - present	—
LIANG FengfengPhD, CSE · 2024 - present	—
LIU YuqiPh.D. student · 2024 - present	—
ZHU ZhengPh.D. student · 2024 - present	—
YANG SenqiaoPh.D. student · 2024 - present	—
GUI HaokunPhD, CSE · 2024 - present	—
WU SitongPh.D. student · 2023 - present	—
ZHU mingkangPh.D. student · 2023 - present	—
XIA BinPh.D. student · 2023 - present	—
YU ShaozuoPh.D. student · 2022 - present	—
LUO, HaotianPhD, CSE	—
ZHANG, YuweiPhD, CSE	—

校友与去向61

成员	教育背景	研究方向与经历
LU Fanbin校友 · Ph.D. · 2021 - 2026	—	Research Scientist @ Tencent
LI Jingyao校友 · Ph.D. · 2022 - 2026	—	Research Scientist @ Baidu
WANG Chengyao校友 · Ph.D. · 2022 - 2026	—	Research Scientist @ Tencent
PENG Bohao校友 · Ph.D. · 2022 - 2026	—	Research Scientist @ Huawei
LIU Shaoteng校友 · Ph.D. · 2021 - 2025	—	Research Scientist @ Adobe Research
ZHANG Yuechen校友 · Ph.D. · 2021 - 2025	—	Research Scientist @ Xiaomi MIMO
LI Yanwei校友 · Ph.D. · 2020 - 2024	—	Assistant Professor @ SJTU
ZHONG Zhisheng校友 · Ph.D. · 2021 - 2025	—	Researcher @ Tencent
CHEN Yixin校友 · Ph.D. · 2020 - 2024	—	Researcher
LAI Xin校友 · Ph.D. · 2020 - 2024	—	Researcher at ByteDance
CHEN Yukang校友 · Ph.D. · 2020 - 2024	—	Researcher at NVidia
CHU Ruihang校友 · Ph.D. · 2020 - 2024	—	Researcher at Alibaba
QIAN Shengju校友 · Ph.D. · 2019 - 2023	—	Researcher at Tencent
YANG Zetong校友 · Ph.D. · 2019 - 2023	—	Researcher at PJLab
HU Tao校友 · Ph.D. · 2019 - 2023	—	Researcher at ByteDance
LI Wenbo校友 · Ph.D. · 2019 - 2023	—	Researcher at Huawei
LU Liying校友 · MPhil. · 2019 - 2023	—	Ph.D. at EPFL
CHEN Yilun校友 · Ph.D. · 2018 - 2022	—	Researcher at Shanghai AI Laboratory
CUI Jiequan校友 · Ph.D. · 2018 - 2022	—	Professor at Hefei University of Technology
TIAN Zhuotao校友 · Ph.D. · 2018 - 2022	—	Assistant Professor at HIT
XU Xiaogang校友 · Ph.D. · 2018 - 2022	—	Assistant Professor at Zhejiang University
CHEN Pengguang校友 · Ph.D. · 2018 - 2022	—	Research Leader at SmartMore
QI Lu校友 · Ph.D. · 2017 - 2021	—	Professor at Wuhan University
WU Ruizheng校友 · Ph.D. · 2017 - 2021	—	Research Leader at SmartMore
JIANG Li校友 · Ph.D. · 2017 - 2021	—	Assistant Professor at CUHK (Shenzhen
LIN Huaijia校友 · Ph.D. · 2017 - 2021	—	Researcher at ZOOM
WANG Yi校友 · Ph.D. · 2017 - 2021	—	Researcher at Shanghai AI Laboratory
WANG Ruixing校友 · Ph.D. · 2016 - 2021	—	Leader at DJI
CHEN Yingcong校友 · Ph.D. · 2016 - 2020	—	Assistant Professor at HKUST (Guangzhou
GAO Hongyun校友 · MPhil. · 2015 - 2019	—	PhD student at University of Cambridge
ZHAO Hengshuang校友 · Ph.D. · 2015 - 2019	—	Assistant Professor at HKU
QI Xiaojuan校友 · Ph.D. · 2014 - 2018	—	Associate Professor at HKU
ZHANG Hong校友 · MPhil. · 2015 - 2018	—	Researcher at Baidu
ZHOU Chao校友 · MPhil. · 2014 - 2018	—	Co-founder of SmartMore
LI Ruiyu校友 · Ph.D. · 2014 - 2018	—	Co-founder of SmartMore
LIU Shu校友 · Ph.D. · 2014 - 2018	—	Co-founder of SmartMore
TAO Xin校友 · Ph.D. · 2013 - 2018	—	Researcher at Kuaishou
LIN Di校友 · Ph.D. · 2012 - 2016	—	Associate Professor at Tianjin University
SHEN Xiaoyong校友 · Ph.D. · 2013 - 2016	—	Co-founder of SmartMore
LIAO Renjie校友 · M.Phil. · 2013 - 2015	—	Assistant Professor at UBC
SHI Jianping校友 · Ph.D. · 2011 - 2015	—	Research Director at SenseTime
YAN Qiong校友 · Ph.D. · 2008 - 2013	—	Scientist at SenseTime
LU Cewu校友 · Ph.D. · 2008 - 2013	—	Shanghai Jiao Tong University Distinguished Professor, Changjiang Scholar Distinguished Professor of the Ministry of Education China
XU Li校友 · Ph.D. · 2007 - 2010	—	Chairman and CEO at SenseTime Group Ltd
ZHANG Qi校友 · M.Phil. · 2012 - 2014	—	Sr. Director, Product & Innovation at NEX Team Inc
ZHENG Shicheng校友 · M.Phil. · 2011 - 2013	—	Quantitative Researcher at Citadel Securities
WANG Liwei校友 · M.Phil. · 2011 - 2013	—	Assistant Professor at CUHK
WU Tai-Pang校友 · Postdoc · 2010	—	CTO at Jiuling
XIA Yang校友 · Master · 2011 - 2013	—	Tech Lead Manager, Staff Software Engineer at Google
DAI Zhenlong校友 · M.Phil. · 2009 - 2012	—	Portfolio Manager at WorldQuant
QIN Zenglu校友 · M.Phil. · 2008 - 2012	—
XU Yi校友 · M.Phil. · 2009 - 2011	—
HUNG Chun Ho校友 · M.Phil. · 2009 - 2011	—	Software Engineer at Quora
LIU Renting校友 · M.Phil. · 2006 - 2008	—
CHEN Jianing校友 · M.Phil. · 2007 - 2009	—
CHUNG Hin Shun校友 · M.Phil. · 2007 - 2009	—
FENG Wei校友 · Postdoc · 2008	—	Professor at Tianjin University
XU Leilei校友 · M.Phil. · 2005 - 2007	—
XIONG Wei校友 · M.Phil. · 2005 - 2007	—	Partner, GenAI Infrastructure & Solutions, Microsoft CoreAI
TAO Chenjun校友 · M.Phil. · 2005 - 2008	—
SHAN Qi校友 · M.Phil. · 2006 - 2008	—

教育与履历

教育背景

2004
HKUST
PhD, Computer Science

任职经历

2003–2004
Microsoft Research
Visiting Scholar
2004–2024；2015 晋升教授
CUHK
Assistant Professor; Professor
2007
Adobe Research
Collaborative research
2019–
SmartMore
Founder and Board Chairman
2024–
HKUST
Chair Professor

学术服务

资深视觉研究者，现任 Chair Professor 和 Von Neumann Institute Director；计算成像的长期影响与当前大模型研究可分别核验。

2019 年创办 SmartMore，任 Founder and Board Chairman。

业界合作与实习

合作机构: 3家
合作记录: 4条
成员产业经历: 0条

Microsoft Research（research visit）；Adobe Research（research collaboration）

Microsoft Research 访问研究
2003–2004 访问研究
Adobe Research 研究合作
2007 年合作研究
Adobe Systems Incorporated 资助研究项目
Generative AI；负责人；2025–
SmartMore 创办企业
2019 年创办，任董事长；CUHK 2023 年公开讲者履历所载。

学术影响与网络关注

计算标准

院系样本分位

累计引用98P98

h-index98P98

2024–2026 论文82P82

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 427 篇 · i10-index 256 · 截至 2026-10-17

Wikipedia 人物条目

近 12 个月浏览量: 1,117次

Bo LI

李波

Chair Professor

个人主页 · 学校档案 · 档案

博士毕业于: University of Massachusetts Amherst · 1993
研究主线: Large-scale internet content distribution；Peer-to-peer systems；Internet topology；Cloud computing；Green computing；Federated learning security；Differential privacy learning theory

累计引用: 17,675次
h-index: 67
2024–2026 论文: 98篇
在组成员: 11人

研究方向

Large-scale internet content distribution
Peer-to-peer systems
Internet topology
Cloud computing
Green computing
Federated learning security
近期 Lotto 工作研究联邦学习中安全、公平的客户端选择。
Differential privacy learning theory
近期论文研究 pure-private agnostic learning 与 realizable-to-agnostic transformation。

从 Coolstreaming、P2P 与内容分发延伸到数据中心、云、网络控制及学习优化；近年与 Wei Wang、Peng Ye 的工作包含 federated learning 安全与 private learning 样本复杂度。

网络系统主线与隐私理论合作并行

历史 biography 与近年共同作者论文支持两类方向；三篇原文体现威胁模型与可证明保证。

代表论文与近期发表

2024Lotto: Secure Participant Selection against Adversarial Servers in Federated LearningUSENIX Security

研究问题: 恶意 FL server 可通过选择 compromised clients 破坏 honest-majority 假设。
核心方法: 客户端可验证随机参与；对 informed selection 使用细化池内随机选择。
实验结果: 理论约束 compromised 比例，实验 time-to-accuracy 接近不安全选择。
实验条件与边界: 安全性依赖总体 dishonest 基率与协议假设。
课题组研究线: 分布式系统的选择层成为安全机制。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level PrivacyICML

研究问题: pure-DP agnostic learning 的样本/用户复杂度仍有缺口。
核心方法: 对任意概念类与 threshold 分别构造 learner。
实验结果: item-level 达 polylog 因子内最优；user-level 上界改进，threshold 近紧。
实验条件与边界: 一般 user-level 概念类仍有上下界差距；不同用户样本量留作后续。
课题组研究线: 持续 private learning 理论合作。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Private Realizable-to-Agnostic Transformation with Near-Optimal Sample ComplexityCOLT

研究问题: 通用 private learner 转换在任意 ε 下多出 1/ε 样本代价。
核心方法: 改进 realizable-to-agnostic 构造。
实验结果: 额外复杂度约为 VC(C)/α²，消除该项 ε 依赖，并推进 private prediction。
实验条件与边界: 渐近界含 polylog 项与给定 DP/learning 假设。
课题组研究线: 接续 2024 private agnostic learning。
核阅章节: Abstract、Introduction（开头）

2024–2026 论文目录（共 98 篇）

2026 年29 篇

2025 年35 篇

2024 年34 篇

实验室与成员

博士生: 8
硕士生: 3

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Large-scale internet content distribution；Peer-to-peer systems；Internet topology；Cloud computing；Green computing；Federated learning security；Differential privacy learning theory

在组成员11

成员	教育背景	研究方向与经历
Jiayu AnPhDCSE	—
Zichen TangPhDCSE	—
Chaokun ChangPhDCSE	—	共同指导；
Zheng ChenPhDCSE	—
Tong LiPhDCSE	—
Ruizhe ShaoPhDCSE	—
Boran SunPhDCSE	—
Jieling YuPhDCSE	—
Yuanyuan HuangMPhilCSE	—
Hanzhi YouMPhilCSE	—
Yixin YangMPhilCSE	—

校友与去向6

成员	教育背景	研究方向与经历
Yue Deng校友 · PhD · 2026CSE	—
Peng Ye校友 · PhD · 2026CSE	—
Changyang He校友 · PhD · 2024CSE	—
Lin Zhang校友 · PhD · 2023CSE	—
Tianyi Zhang校友 · MPhil · 2026CSE	—
Zihan Li校友 · MPhil · 2024CSE	—	共同指导；

教育与履历

教育背景

1987
Tsinghua University
BEng, Computer Science
1989
Tsinghua University
MEng, Computer Science
1993
University of Massachusetts Amherst
PhD, Electrical and Computer Engineering

任职经历

HKUST CSE
Chair Professor

学术服务

资深网络研究者，历史核心贡献为 Internet content distribution。

个人主页 biography 记录 IEEE Fellow、2011 国家自然科学二等奖；Coolstreaming 获 IEEE INFOCOM 2015 Test-of-Time。

业界合作与实习

合作机构: 2家
合作记录: 2条
成员产业经历: 0条

学校项目记录列有企业资助的研究项目。

Innovation and Technology Fund, Qianxin International Co. Limited 资助研究项目
参与项目 AC-Xray: A Platform for Dependability Assessment of Large Language Models in Industrial Sectors（2026 -）
Alibaba (China) Co., Ltd 资助研究项目
牵头项目 HKUST-Alibaba Joint Lab on Big Data and AI（2024 -）

学术影响与网络关注

计算标准

院系样本分位

累计引用83P83

h-index84P84

2024–2026 论文84P84

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 675 篇 · i10-index 290 · 截至 2026-10-17

Huamin QU

屈華民

Chair Professor

个人主页 · 学校档案 · 档案

实验室: VisLab
博士毕业于: Stony Brook University · 2004
研究主线: 可视化与分析；Human-centered AI；创作与跨学科计算媒体

累计引用: 12,422次
h-index: 59
2024–2026 论文: 156篇
在组成员: 38人

研究方向

可视化与分析
信息可视化、urban informatics、社交网络、图数据、金融与教育数据。
Human-centered AI
可解释 AI、human-AI teaming、AI for visualization。
创作与跨学科计算媒体
数据叙事、动画、沉浸式媒体、艺术和 multimodal communication。

长期城市、文本、网络与学习数据可视化积累，逐步扩展到模型解释和人机协作。WaitGPT 用可视化把 agent 分析过程变得可检查，动画工具综述系统整理人机分工，DuoDrama 将反思支持扩到创作。近期 LLM 研究延续可视化的理解、控制和表达职能。

可视化系统与以人为中心的跨领域研究

公开研究同时关注算法、交互设计和真实领域用户；大组与跨项目合作使课题风格多样。

代表论文与近期发表

2024WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code VisualizationUIST 2024

研究问题: 聊天式数据分析把原始代码展示给用户，检验逻辑和纠错成本高。
核心方法: 实时把 LLM 生成代码转成交互操作图，支持逐步骤查看、验证和修改；形成性研究 N=8。代码逐行执行，图节点显示运行时中间状态；修改时保留 sandbox state，可以恢复或重跑局部分析。
实验结果: N=12 用户研究报告更易监控与引导分析、发现错误并提升对结果的信心。
实验条件与边界: 作者明确原型限 Python、Pandas、Matplotlib 和表格数据；线性流图未覆盖 loop 等控制流，20 列以上 glyph 扩展性有限。用户被提示查看图，存在实验偏倚。
课题组研究线: 可视化介入 agent 执行过程。
核阅章节: Abstract（完整）、1 Introduction（完整）、8 Discussion（完整）、9 Conclusion（完整）

2025Reflecting on Design Paradigms of Animated Data Video ToolsCHI 2025

研究问题: 数据视频工具需要协调视觉、动作、叙事和音频，现有设计范式缺少整体梳理。
核心方法: 以制作什么和如何支持协作为两维，分析 46 个工具的人机工作分配。
实验结果: 形成多组件创建和协同的设计分类，指出整体工具链空白。
实验条件与边界: 这是综述与框架研究；收录排除 VR、普通非数据视频及部分文字动画，结论受语料范围约束。
课题组研究线: 延续数据叙事，并系统审视自动化与用户创作控制。
核阅章节: Abstract（完整）、Introduction 与 Survey Landscape（搜索返回段）

2026DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human ReflectionCHI 2026

研究问题: 编剧需要角色内部体验和整体故事外部评价两种反馈。
核心方法: 从 9 位专业编剧形成性研究与表演理论提出 ExReflect，agent 先体验角色再转换为评价角色。
实验结果: 14 位专业编剧研究报告反馈质量、对齐和反思深度、丰富度提升。
实验条件与边界: 结果限于剧本修订与所选原型；长期作者能力和成片质量未由摘要证明。
课题组研究线: 把人机协作研究扩展到艺术创作中的反思过程。
核阅章节: Abstract（完整摘要）

2024PyGWalker: On-the-fly Assistant for Exploratory Visual Data AnalysisIEEE VIS 2024 short paper

研究问题: 计算笔记本中的程序化数据处理与交互式视觉探索之间存在工作流切换成本。
核心方法: 提供可由 Python 一行调用的 shelf-builder 图形界面；声明式表示与计算、渲染解耦，可接浏览器、Python kernel 和外部数据库。
实验结果: 论文报告 2024 年 6 月累计 61.2 万下载、1.05 万 GitHub stars，支持工具传播与实际采用判断。下载和星标本身不构成分析效果改善的受控证据。论文进一步统计 536 个依赖该工具的公开仓库和 7 篇研究文章，给出应用整合案例。
实验条件与边界: 当时主要依赖 Vega-Lite，复杂定制仍需更低层渲染能力；交互要求用户学习操作。自然语言输入和记录逐步分析溯源在 Discussion 中属于开发中或未来能力，不能当作该版本已完成的结果。
课题组研究线: 延续可视分析工具与真实工作流的路线，连接开源软件生态和研究原型。该文的 Hao Chen 来自 Kanaries，不能与 HKUST 医疗 AI 教师 jhc 混同。
核阅章节: Abstract（完整）、4 Discussion（完整）、5 Conclusion（完整）、1 Related Work（完整）、2.1 Overview（完整）、2.3 Information Representation（完整）、3 Release and Usage（完整）

2024–2026 论文目录（共 156 篇）

2026 年51 篇

2025 年68 篇

2024 年37 篇

实验室与成员

VisLab

博士生: 26
硕士生: 9
博士后: 2
RA、访问与其他: 1

所在单位: HKUST CSE、AIS、EMIA
地点: Clear Water Bay, Hong Kong

可视化与分析；Human-centered AI；创作与跨学科计算媒体

在组成员38

成员	教育背景	研究方向与经历
YUAN LinpingResearch Assistant Professor · Sep. 2024 - now 简历 · GitHub · Google Scholar GitHub 关注 44 Stars 31	2019 Xi’an Jiaotong University Bachelor, Software Engineering Hong Kong University of Science and Technology Sep. 2024 - now PhD 2024 HKUST PhD, CSE Xi'an Jiaotong University Desktop to Virtual Reality	VR/AR、人机交互、数据可视化与空间计算
Kam Kwai WONGPostdoc · since Mar. 2026 - now ORCID · OpenAlex OpenAlex 近三年 23 引用 450 h-index 12	HKUST Bachelor, CSE HKUST PhD 2026 HKUST PhD, CSE HKUST	可视分析、沉浸式交互、人机协作与集体决策
Kento ShigyoPostdoc · Oct. 2025 - now	Hong Kong University of Science and Technology PhD 2025 HKUST PhD, IIP Kobe University UG
MA ZhengyangPhD, Individualized Interdisciplinary Program (Computational Media and Arts) · since Aug. 2020	Birmingham University/China Academy of Arts
CHEN ZixinPhD, CSE · since Aug. 2022 GitHub GitHub 关注 17 Stars 18	HKUST
Zhonghua ShengPhD, IIP · since Aug. 2023 GitHub GitHub 关注 0 Stars 0	2012 HKUST MPhil, CSE	Guangzhou Zaidao Information Technology Co., Ltd. · Co-founder
Yihao MENGPhD, CSE · 2023– GitHub · Google Scholar GitHub 关注 68 Stars 711	2019–2023 Xi’an Jiaotong University BS, Artificial Intelligence, Qian Xuesen College Honors Class 2023– HKUST PhD, CSE	视频生成与世界模型 Ant Research, LingBot · Research Scientist Intern2024-06–2026-04 ByteDance Seed · Research Scientist Intern2026-08– NVIDIA Spatial Intelligence Lab · Research Scientist Intern2026-05–2026-08
FANSEU KAMHOUA, BarakeelPhD, CSE · 2023-08– GitHub · DBLP · LinkedIn DBLP 近三年 1 GitHub 关注 3 Stars 0	HKUST MSc, Industrial Engineering 2023-08– HKUST PhD, CSE Nelson Mandela University BTech, Industrial Engineering	数据可视化、模式发现与实时图像处理 Meridian Innovation, HKSTP · Software Engineer, R&D
SHI YuzhePhD, CSE · since Jan. 2024	—	人机混合智能系统、认知模型、群体交流与领域专用语言
HE YujiaPhD, CSE · 2024-02– GitHub GitHub 关注 3 Stars 0	2021 Shanghai Jiao Tong University BS, Electronic and Computer Engineering 2021 University of Michigan, Ann Arbor BS, Computer Science	体育计算与攀岩训练、表现辅助系统
XU ShuchangPhD, CSE · since Aug. 2024 GitHub GitHub 关注 13 Stars 24	Tsinghua University BA/Mphil Tsinghua University Bachelor Tsinghua University Master MIT Media Lab Visiting PhD	感知、记忆、行为层面的 AI 辅助认知与无障碍系统
ZHANG WenshuoPhD, CSE · since Aug. 2024 LinkedIn · GitHub · Google Scholar GitHub 关注 10 Stars 18	2024 Xi’an Jiaotong University BS, Automation 2024 Xi’an Jiaotong University Bachelor, Accounting, ACCA Track Xi'an Jiaotong University University of Hong Kong Exchange, Electrical and Electronic Engineering	多轮对话与智能体中的人机对齐、用户行为建模及数据增强
Runhua ZHANGPhD, IIP · 2024– Google Scholar · X · LinkedIn	2017–2021 Sichuan University BEng, Industrial Design 2021–2024 Tongji University MA, Design 2024– HKUST PhD, IIP Sichuan University and Tongji University 2022–2023 Aalto University Exchange, Arts, Design and Architecture	人机交互、个人反思、游戏化学习与女性主义 HCI co-supervised with Prof. Xiaojuan Ma, from Sichuan University and Tongji University, since Aug. 2024；共同指导
MA HanluPhD, IIP · 2024-09– LinkedIn · GitHub GitHub 关注 0 Stars 0	2019-12–2020-04 Northeastern University Exchange Student 2020 Tsinghua University BFA, Visual Communication 2022 Politecnico di Milano MSc，双学位 2023 Tsinghua University MFA, Information Art and Design	数据可视化、数据叙事、数据驱动艺术、人机交互 Alibaba Cloud · Designer2023-07 起 2x4 Beijing · Designer
TANG YuyingPhD, IIP · 2024– GitHub GitHub 关注 2 Stars 0	Central Academy of Fine Arts and Tsinghua University 2017–2021 Central Academy of Fine Arts BFA, Film and Television Photography and Production 2021–2024 Tsinghua University MFA, Visual and Information Design 2022–2023 Politecnico di Milano MSc, Communication Design, dual degree 2024– HKUST PhD, IIP 2026–2027 Imperial College London Visiting PhD 2026–2027 University of the Arts London Visiting PhD	创造力、故事表达与人机协作
CHEN BaoyangPhD, IIP · since Aug. 2024	CAFA/Columbia
LI, Chun YinPhD, CSE · since Aug. 2025	Zhejiang University
YU YuePhD, IIP · since Aug. 2025	HKUST BSc, Social Science and Computer Science 2025 HKUST MPhil, CSE 2025 HKUST MPhil, Computer Science HKUST	社会流动与不平等的计算研究、图像视频创作的人机协作 co-supervised with Cameron Campbell, HKPF, since Aug. 2025
WANG JinduPhD, CSE · since Aug. 2024 Google Scholar · X · GitHub GitHub 关注 1 Stars 0	Xi’an Jiaotong University BS, Software Engineering Xi'an Jiaotong University	可穿戴计算、认知科学、情境感知及 AR/VR 多模态交互
XUE HaiweiPhD, IIP · since Aug. 2026	Tsinghua University Mphil Tsinghua University Master, Electronic Information	多模态理解与生成、视频推理、语音驱动数字人、交互设计与生成安全 Tencent · Algorithm Intern硕士阶段 Microsoft Research Asia · Algorithm Intern硕士阶段 Huawei · Algorithm Intern硕士阶段 01.AI · Algorithm Intern硕士阶段 Ant Group · Algorithm Intern硕士阶段
ZHOU JiayiMPhil, IIP · since Aug. 2024 Google Scholar · LinkedIn · GitHub GitHub 关注 7 Stars 0	Zhejiang University	生成式 AI 与计算机视觉辅助的非线性视觉叙事、数据可视化与 HCI
LIANG, DanxuanMPhil, CSE · since Aug. 2025	HKUST
WONG, Hiu TungMPhil, CSE · since Aug. 2025	—
XU, BiyingMPhil, CSE · since Aug. 2025	—
YANG, DongjieMPhil, CSE · since Aug. 2025	—
YE, YilinMPhil, CSE · since Aug. 2025	—
ZHANG, XinyuMPhil, CSE · since Aug. 2026	—
LUO, YichaoMPhil, CSE · since Aug. 2026	VisLab Alumni
DEDELER, Elif GamzePhD, IIP	—
KHALATBARI, LeilaPhD, IIP	—
KONG, XianghaoPhD, IIP	—	共同指导
WANG, ZhePhD, IIP	—	共同指导
ZHANG, SongchunPhD, IIP	—	共同指导
ZHANG, ZeyuPhD, IIP	—	共同指导
ZHONG, ZhizhouPhD, IIP	—	共同指导
WANG, ZihaoPhD, IIP	—	共同指导
KUZMIN, IuriiPhD, Individualized Interdisciplinary Program (Computational Media and Arts)	—
YANG, FanMPhil, IIP	—	共同指导

校友与去向167

成员	教育背景	研究方向与经历
SHENG Rui校友 · PhD, CSE · 2021–2026 Google Scholar · GitHub GitHub 关注 13 Stars 3	2021 Wuhan University BS 2026 HKUST PhD, CSE Wuhan University	生物医学发现、医疗健康中的以人为本 AI 与可视分析 Incoming Postdoctoral Researcher, Northeastern University Human-Centered AI Lab，Dakuo Wang 团队
Yihan Hou校友 · PhD in CMA of HKUST (GZ · Aug. 2022 - Aug. 2026	—	co-supervsied with Wei Zeng, Aug. 2022 - Aug. 2026
TAKAHIRA Kentaro校友 · PhD, CSE · 2022–2026	2026 HKUST PhD, CSE Kyoto University
Leixian, SHEN校友 · PhD, CSE · 2023–2026 GitHub GitHub 关注 2 Stars 6	2026 HKUST PhD, CSE	Microsoft Research Asia
LI Haobo校友 · PhD, CSE · 2022–2026 ORCID · Google Scholar · GitHub · OpenAlex GitHub 关注 5 Stars 16	South China University of Technology BS Shanghai Jiao Tong University MS 2026 HKUST PhD, CSE Sun Yat-Sen University/Shanghai Jiaotong University	数据可视化、气候多模态对齐与数字孪生 Intel · Industry experience两年以上，博士入学前 Shanghai AI Lab
WEI Zheng校友 · PhD, IIP · 2024–2026	2026 HKUST PhD, IIP Beijing Film Academy	KAIST as postdoc
XIE Liwenhan校友 · PhD, CSE · 2020–2026 Google Scholar · Semantic Scholar · ORCID · LinkedIn · X · GitHub · OpenAlex OpenAlex 近三年 8 引用 242 h-index 7 GitHub 关注 55 Stars 394	Peking University BSc 2026 HKUST PhD, CSE 2026 HKUST PhD Peking University	人机交互、表达技术与创意支持工具 Research Fellow, NUS School of Computing, Palette Lab（2026-07 起）
Ziwei Wu校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2020–2025	2025 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts)	University of Macao as tenure-track assistant professor co-supervised with Prof. Kang Zhang, Aug. 2020 - Aug. 2025, joined University of Macao as tenure-track assistant professor.；共同指导
Kento Shigyo校友 · PhD · Aug. 2020 - 2025	Kobe University
CAO Yifan校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2020–2025	Zhejiang University Bachelor, Chinese Literature and Linguistics, CKC Honors College CUHK MA, Global Communication 2025 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts) 2025 HKUST PhD, IIP (Computational Media and Arts) Zhejiang University	HCI、社会计算、数字人文与区块链数据可视分析 Tencent · Journalist / Editor读博前 Jazzyear · Journalist / Editor读博前 co-supervised with Prof. Yang Wang, Aug. 2020 - Aug. 2025
JIN Xiaofu校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2022–2025	2025 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts) Beijing University of Posts and Telecommunications(BUPT	Cognitive Bridges to Digital Inclusion: A Gerontological Framework for Autonomous Technology Learning in Late Adulthood Co-supervised with Prof. FAN mingming, from Beijing University of Posts and Telecommunications(BUPT；共同指导
HE Jianben校友 · PhD, CSE · 2020–2024	2024 HKUST PhD, CSE Huazhong University of Science and Technology	Interactive Visual Analytics for Multimodal Video Data Exploration and Model Steering Co-supervised with Prof. ZHANG Qian, from Huazhong University of Science and Technology, Aug. 2020- Dec. 2024
LIN Yanna校友 · PhD, CSE · 2020–2024 GitHub GitHub 关注 12 Stars 0	Sun Yat-sen University Bachelor, Software Engineering Hong Kong University of Science and Technology PhD 2024 HKUST PhD, CSE Sun Yat-Sen University	多模态意图表达、AI 推理解释与调试、数据决策 Postdoctoral Researcher, University of Waterloo，Jian Zhao 的 WVisdom Lab
JIN Zhihua校友 · PhD, CSE · 2019–2024	2024 HKUST PhD, CSE Chu Kochen Honors College	Visual Analytics for Data-Centric Machine Learning
LO Yu Ho校友 · PhD, CSE · 2020–2024 Google Scholar	Chinese University of Hong Kong BSc, Computer Science HKUST MPhil, Computer Science 2024 HKUST PhD, CSE	误导性可视化的识别、自动检测与预防 Software Engineer博士入学前，数年
FUNG Ka Yan校友 · PhD, IIP · 2021–2024	Hong Kong Polytechnic University BA, Retail and Service Management HKUST MPhil, Technology, Leadership and Entrepreneurship University of Duisburg-Essen MPhil, Contemporary East Asian Studies 2024 HKUST PhD, IIP Hong Kong University of Science and Technology	包容教育、情绪支持机器人与教育技术 Gabi Education Limited · Founder co-supervised with Prof. Shenghui Song, from Hong Kong University of Science and Technology, Aug. 2021 - Aug. 2024；共同指导
LI Haotian校友 · PhD, CSE · 2020–2024	2024 HKUST PhD, CSE Hong Kong University of Science and Technology	Bridging Data Analysis and Storytelling with Human-AI Collaborative Tools MSRA
Wenchao Li校友 · PhD, CSE · 2017–2023	2023 HKUST PhD, CSE Sichuan University and CAS	Interactive Visualization Systems For Narrative-driven Data Exploration And Communication Huawei Cloud
Xian Xu校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2020–2023 GitHub · Google Scholar GitHub 关注 8 Stars 1	2023 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts) Hong Kong University of Science and Technology PhD Central Academy of Drama	Cinematic Storytelling in Data-driven Videos: Guidelines and Design Space Tenure-track Assistant Professor, Lingnan University, Department of Digital Arts and Creative Industries；Associate, Cambridge Digital Humanities co-supervised with David Yip, from Central Academy of Drama, 2020 - 2023, joined EMIA, HKUST as research assistant professor；共同指导
Wai Tong校友 · PhD, CSE · 2018–2023 简历 · GitHub · X · LinkedIn GitHub 关注 29 Stars 14	2023 HKUST PhD, CSE	AR/VR/MR、沉浸式可视化与人机交互 Assistant Professor, Texas A&M University；VVAI Lab 负责人 co-supervised with Prof. T.C. Pong, 2018-2023, now tenure-track assistant professor at Texas A&M University
Zezheng Feng校友 · PhD, CSE · 2019–2023 GitHub GitHub 关注 1 Stars 0	2013–2017 Northeastern University, China BEng, Software Engineering 2017–2018 Loughborough University MSc, Computer Science 2019–2023 HKUST PhD, CSE 2023 HKUST PhD, CSE	大数据分析、可视化、可解释机器学习与城市计算 Associate Professor, Software College, Northeastern University, China co-supervise with Prof. Shuang-hua Yang, 2019-2023. Now associate professor at Northeastern University China
Zhenhua Xu校友 · PhD, CSE · 2018–2023	2023 HKUST PhD, CSE Harbin Institute of Technology	Automatic Generation of Vector Maps by Imitation Learning for Autonomous Driving HKU as postdoc co-supervised with Prof. Ming Liu, Aug. 2018 - Jan. 2023, joined HKU as postdoc
Furui Cheng校友 · PhD student · 2018- 2022	Beihang University	Interactive Visual Analytics for Human-Centered AI ETH as postdoc
Xingbo Wang校友 · PhD student · Aug. 2018 - Aug. 2022	Wuhan University	Interactive Visual Analytics For Understanding And Facilitating Human Communication Cornell Unversity as postdoc
Leni Yang校友 · PhD student · Aug. 2018 - Aug. 2022	University of Electronic Science and Technology of China	Guidance On Data Storytelling: Making Data Stories Understandable And Compelling For The General Public
WU Aoyu校友 · PhD · Aug. 2019 - Aug. 2022	HKUST	Efficient Creation and Analysis of Visualizations for Data Communication PhD program
Yifang Wang校友 · PhD student · Aug. 2018 - Aug. 2022	Zhejiang University	Interactive Visual Analytics for Career Mobility Northwestern University USA as postdoc, to join Florida State University as a tenure-track assistant professor in the Department of Computer Science in August 2025
Dong Sun校友 · PhD student · Aug. 2017-Aug. 2021 GitHub GitHub 关注 5 Stars 0	2017 Zhejiang University Bachelor, Computer Science and Technology Zhejiang University	数据可视化、可解释机器学习、AutoML 与 HCI co-supervised with Prof. T.C. Pong, Aug. 2017-Aug. 2021
Xinhuan Shu校友 · PhD student · Aug. 2017-Aug. 2021 GitHub GitHub 关注 12 Stars 1	HKUST PhD Zhejiang University	Enhancing Data-driven Storytelling with Animated Visualization the University of Edinburgh as postdoc. joined Newcastle University as lecturer
Meng Xia校友 · PhD student · Aug. 2017 - Aug. 2020	2020 HKUST PhD Hangzhou Dianzi University and Zhejiang University	人机协作、个性化教育、可视化与学习技术 Assistant Professor, CSE, Texas A&M University；Dream Lab 负责人 co-supervised with Prof. Xiaojuan Ma, Aug. 2017 - Aug. 2020, joined KASIT/CMU as postdoc. joined the Department of Computer Science and Engineering at Texas A&M University as a tenure-track assistant professor
Haipeng Zeng校友 · PhD Student · Aug. 2015 - Aug. 2020 Google Scholar	Sun Yat-sen University BS, Mathematics HKUST PhD, CSE Sun Yat-sen University	可视分析、智能交通、多模态人类交流、可解释 AI 与城市计算 Associate Professor, School of Intelligent Systems Engineering, Sun Yat-sen University
Qianwen Wang校友 · PhD student in ECE · Jun. 2016 - Dec. 2019	Xi'an Jiaotong University	Harvard University as postdoc. joined the CSE department at the University of Minnesota, Twin Cities (UMN) as a tenure-track Assistant Professor
Yao Ming校友 · PhD student · Aug. 2016 - Dec. 2019	Tsinghua University	Visualization For Explainable Machine Learning Bloomberg AI Group at New York City as research scientist
Qiaomu Shen校友 · PhD student · Feb. 2016 - Dec. 2019	Sichuan University	Towards Better Perception of Urban Information: A Visualization Perspective
Zhutian Chen校友 · PhD Student · Aug. 2015 - Dec. 2019 DBLP · ORCID · OpenAlex DBLP 近三年 29 OpenAlex 近三年 22 引用 1,400 h-index 23	South China University of Technology	Towards Futuristic Visual StoryTelling: Authoring Data-Driven Infographics in Augmented Reality UC San Diego/Harvard as postdoc. Joined the CSE department at the University of Minnesota, Twin Cities (UMN) as a tenure-track Assistant Professor
Xuanwu Yue校友 · PhD student · Aug. 2016 - Dec. 2019	Shandong University	Financial Intelligence and Strategy Extraction via Visual Analysis Approaches Sinovation Ventures AI institute at Nanjing
Mingqian Zhao校友 · PhD student in BIEN · Sep. 2015 - Dec. 2019	Chu Kochen Honors College
Ke Xu校友 · PhD student in ECE · Aug. 2019 Google Scholar · GitHub GitHub 关注 1 Stars 1	Nanjing University	Interactive Visual Anomaly detection and Its Applications tenure-track associate professor at Nanjing University
Dongyu Liu校友 · PhD Student · Aug. 2019 Google Scholar · X · LinkedIn	Chu Kochen Honors College	Combining Automated Analysis with Interactive Visualizations for Spatio-temporal Data Analysis MIT as postdoc. Now tenure-track assistant professor at the CS Department at UC Davis
Quan Li校友 · PhD Student · Dec. 2018 GitHub GitHub 关注 2 Stars 0	Wuhan University/Tsinghua University	Interactive Visual Analytics on Representation and Dynamics of Online Game Community WeBank, Now Assistant Professor at ShanghaiTech University
Xun Zhao校友 · PhD student · Dec. 2018	Huazhong University of Science and Technology	Visual Explanation of Black Box Algorithms Research Scientist at Shanghai AI Laboratory co-supervised with Prof. Dik-Lun Lee, defended at Dec. 2018, now Research Scientist at Shanghai AI Laboratory
Yuanzhe Chen校友 · PhD Student · Oct. 2018	Shanghai Jiaotong University	Visual Analytics of Temporal Event Data
Qing Chen校友 · PhD Student · Aug. 2018	Zhejiang University Massive Open Online Courses	Visual Analytics and Storytelling of Data from Massive Open Online Courses INRIA as postdoc, now associate professor at Tongji University
Yun Wang校友 · PhD Student · Jul. 2018	Fu Dan University	Generating and Authoring Narrative Visualization for Data Insight Communication co-supervised with Qiong Luo, graduated at Jul. 2018, senior researcher at MSRA
Yong Wang校友 · PhD Student · Jul. 2018	HIT and Huazhong University of Technology	Towards Better Perception of Graph Visualization postdoc at HKUST, now assistant professor at Nanyang Technological University. Previously at Singapore Management University
Siwei Fu校友 · PhD Student · Jun. 2018 简历 · Google Scholar	Sun Yat-sen University	Visual Analytics of Online Communication assistant professor at Zhejiang University, previously at Zhejiang Lab
Yanhong Wu校友 · PhD Student · Aug. 2017 简历 · LinkedIn · X	—	On the Scalability of Large Graph Visualization IBM Watson, USA
Wenchao Wu校友 · PhD Student · Aug. 2016	Shanghai Jiaotong University	Visual Analytics of Urban Dynamics Based on Human Mobility Data researcher at Siemens Corporate Technology) (co-supervised with Prof. Lionel Ni co-supervised with Prof. Lionel Ni
Yixian Zheng校友 · PhD Student · Aug. 2016	Shanghai Jiaotong University	Visual Analytics of Bi-Directional and Cluster Movements researcher at China Electronics Technology Group ) (co-supervised with Prof. Lionel Ni co-supervised with Prof. Lionel Ni
Panpan Xu校友 · PhD · Dec. 2014 GitHub · X · Google Scholar GitHub 关注 81 Stars 31	Chu Kochen Honors College	Visual Analysis of Heterogenous and dynamic graphs Amazon, previously at Bosch Research, USA
Conglei Shi校友 · PhD · Aug. 2014	Shanghai Jiaotong University Web Log Data	Visual Analysis of User Behavior From Web Log Data IBM T. J. Watson, USA
Jiansu Pu校友 · PhD · Aug. 2013	Beihang University	Visual Summarization and Analysis of Spatio-Temporal Data professor at University of Electronic Science and Technology of China co-supervised with Lionel Ni, graduated at Aug. 2013, from Beihang University, now professor at University of Electronic Science and Technology of China.
Nan CAO校友 · PhD · Aug. 2012 Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 66 OpenAlex 近三年 56 引用 5,502 h-index 43	Northwestern Polytechnic University	Visual Analysis of Relational Patterns in Multidimensional Data professor at Tongji University, previously faculty at New York University Shanghai and research scientist at IBM T. J. Watson Research Center, USA. Awardee of China's 1000 Talented Youth Program
Weiwei CUI校友 · PhD · Aug. 2011	Tsinghua University	Visual Summarization and Exploration of Text Streams lead researcher at Microsoft Research Asia
Yingcai WU校友 · PhD · Dec. 2009 DBLP · ORCID DBLP 近三年 109	South China University of Technology	Interactive Editing and Automatic Evaluation of Direct Volume Rendered Images professor at Zhejiang University, previously at Microsoft Research Asia. Awardee of China's 1000 Talented Youth Program
Hong ZHOU校友 · PhD · Summer 2009	Zhejiang University	Visual Clustering in Parallel Coordinates and Graphs faculty at Shenzhen University
Ming-Yuen CHAN校友 · PhD · Summer 2009	University of Hong Kong	Quality Enhancement and Relation-Aware Exploration pipeline for Volume Visualization Master of Philosophy (Mphil) Students (34): Office of the Government Chief Information Officer (OGCIO) of HKSAR
LUO Yan校友 · MPhil, CSE · 2024–2026 GitHub · ORCID · OpenAlex OpenAlex 近三年 7 引用 17 h-index 3 GitHub 关注 4 Stars 3	2026 HKUST MPhil, CSE Huazhong University of Science and Technology
Chen Chang校友 · MPhil, CSE · 2024–2025	2025 HKUST MPhil, CSE Shanghai Jiaotong University
LI Yanjia校友 · Mphil in CSE · Aug. 2023 - Aug. 2025	—	PhD program of IEDA of HKUST, HKPFS co-supervised with Jia Liu, Aug. 2023 - Aug. 2025, joined PhD program of IEDA of HKUST, HKPFS
Renfei Huang校友 · Mphil student · Aug. 2018	Chu Kochen Honors College
KIM, Seonggyeom校友 · Mphil · 2022	City University of Hong Kong
Ayush GUPTA校友 · Mphil · 2022	HKUST
MU Yifan校友 · Mphil · 2022	HKUST
ZHOU Yihong校友 · Mphil · since Aug. 2019	Birmingham University
Reshika P V校友 · Mphil · since Aug. 2020	—
JEON, Cheol Su校友 · Mphil · Aug. 2019 - Aug. 2021	Chinese University of Hong Kong
Ku Bon Kyung校友 · Mphil · Aug. 2018-Aug. 2020	HKUST	iFUNDit: Visual Profiling of Fund Investment Styles
Ka Wing Tsang校友 · Mphil · Aug. 2018 - Aug. 2020	HKUST
Abishek PURI校友 · Mphil · Jul. 2019	HKUST	Morgan Stanley
Xavier Pierre Francois PLANTAZ校友 · Mphil in TLE · Jul. 2018	Tsinghua University
LI Zhen校友 · Mphil · Jul. 2018	Tsinghua University	a start-up
Hammad Haleem校友 · Mphil Student · Jul. 2018	—	Goldman Sachs Hong Kong
Chengjin Li校友 · TLE Mphil Student · Aug. 2016	Massive Open Online Courses	A Narrative Visualization System for Peaks in Video Clickstreams from Massive Open Online Courses
Yi Yang校友 · Mphil Student · Mar. 2016	Nanjing University	VISTopic: A Visual Analytic System to Explore Document Collections Using Hierarchical Latent Tree Models
Naveen Pitipornvivat校友 · Mphil Student · Jan. 2016	—	Dynamic Ego-Network Visualization co-supervised with Danny Tsang, graduated at Jan. 2016
Yang Liu校友 · Mphil Student · Aug. 2012	HKUST	Large Scale Visualization of 3D Urban Reconstruction co-supervised with Long Quan
Wenbin Wu校友 · Mphil Student · Jul. 2014	Huazhong University of Technology	Visual Summary of Large Graphs
He LIU校友 · MPhil Student · Jul. 2011	HKUST	Visual analysis of route diversity Microsoft Beijing
Yuan GAO校友 · Mphil Student · 2011	HKUST	Visual analytics of taxi drivers' income and mobility intelligence Google Shanghai
Lu Lu校友 · Mphil Student · 2011	Beihang University	Visualization of map-matching for vehicle trajectories
Haomian Wang校友 · MPhil Student · Summer 2009	University of Science and Technology	Visualization techniques for 3D urban environments
Wai-Ho MAK校友 · MPhil Student · Spring 2009	HKUST	Occlusion-resolving direct volume rendering
Ka-Kei CHUNG校友 · MPhil Student · Summer 2009	HKUST	Interactive visual optimization and analysis for RFID system performance
Kai-Lun CHUNG校友 · MPhil Student · 2008	HKUST	A comprehensive parallel coordinates system for air pollution analysis
Wing-Yi CHAN校友 · MPhil Student · 2009	HKUST	Visualizing the semantic structure in classical music works
Ming-Yuen CHAN校友 · Mphil Student · Summer 2006	HKUST	Transfer function design and view selection for angiographic visualization RAP, Postdocs, Visiting Scholars, Visiting Interns and Research Assistants (43) PhD program co-supervised with Albert Chung, graduated at Summer 2006, from HKUST, joined PhD program.
WU Ziwei校友 · Postdoc · Sep. 2025 - Aug. 2026	Hong Kong University of Science and Technology PhD	University of Macao as tenure-track AP
Yuzhe Jiang校友 · PhD student · since Aug. 2018	University of Chinese Academy of Sciences
Sicheng Song校友 · Postdoc · 2023 - Mar. 2025 GitHub GitHub 关注 2 Stars 1	East China Normal University PhD	East China Normal University (ECNU) as assitant professor
GIOVANNANGELI Loann校友 · Postdoc · Feb. 2024 - Aug. 2024	University of Bordeaux PhD	associate professor at University of Bordeaux, France
Jiachen Wang校友 · Postdoc · Sep. 2023 - Aug. 2024 Google Scholar · DBLP · ORCID DBLP 近三年 16	Zhejiang University PhD	assistant professor at Zhejiang University
Leni Yang校友 · Postdoc · Dec. 2022 - Aug. 2024 GitHub GitHub 关注 4 Stars 0	HKUST PhD	postdoc at INRIA
Alex Zikai Wen校友 · Postdoc · since Jul. 2021 - 2023	Cornell University PhD	assistant professor at University of Washington Tacoma School of Engineering & Technology
WEI Huan校友 · RA/PhD · Aug. 2019 - 2023 LinkedIn · Google Scholar	Beijing University of Posts and Telecommunications
Xingbo Wang校友 · Postdoc · Sep. 2022 - Jun. 2023 GitHub · LinkedIn · Google Scholar · DBLP · ORCID DBLP 近三年 33 GitHub 关注 25 Stars 55	HKUST PhD	postdoc at Cornel University
Mengling Qiao校友 · Postdoc · Jul. 2022 - Jan. 2023	Wuhan University PhD
Meng Xia校友 · Postdoc · Oct. 2020 - Mar. 2021	2020 HKUST PhD	人机协作、个性化教育、可视化与学习技术 Assistant Professor, CSE, Texas A&M University；Dream Lab 负责人
Zhutian Chen校友 · Postdoc · Mar. 2020 - Oct. 2020 DBLP · ORCID · OpenAlex DBLP 近三年 29 OpenAlex 近三年 22 引用 1,400 h-index 23	—	postdoc at The University California, San Diego
Rong Zhang校友 · Postdoc · Jan. 2018 - Aug. 2020	Jan. 2018 -	lecturer at HKUST GZ
XU Min校友 · Research Assistant · Sep. 2018 - Sep. 2020	—
LI Haotian校友 · RA · Sep. 2019-2020	Hong Kong University of Science and Technology
Reshika P V校友 · RA · since Sep. 2019- Aug. 2020	—
LIN Yating校友 · visiting student from Xi'an Jiaotong University · Aug. 2019 - Feb. 2020	Xi'an Jiaotong University
Kam Kwai WONG校友 · Research Assistant · since Sep. 2019 ORCID · OpenAlex OpenAlex 近三年 23 引用 450 h-index 12	HKUST Bachelor, CSE 2026 HKUST PhD, CSE	可视分析、沉浸式交互、人机协作与集体决策
Pablo Fernandez Acin校友 · visiting student from Spain · since Aug. 2019	Spain
HAO Jiahui校友 · visiting student from Zhejiang University · since Sep. 2019	Zhejiang University
Ke Xu校友 · Postdoc · Sep. 2019 - Nov. 2019	—
WANG Zian校友 · Visiting PG student from China Academy of Arts · 2019	China Academy of Arts
Gurparkash Singh校友 · Visiting UG student from IIT Bombay · 2019	IIT Bombay
WANG Xi校友 · Visiting PG student from China Academy of Arts · 2019	China Academy of Arts
Kento Shigyo校友 · Visiting PG student from Kobe University · Mar. 2019	Kobe University
JIN Zhihua校友 · Visiting Intern from Chu Kochen Honors College · since Aug. 2018	Chu Kochen Honors College
ZHANG Liguo校友 · visiting professor · Dec. 2017 - Dec. 2018	—
SU Yijia校友 · Research Assistant · Jan. 2017 - Dec. 2018	—
MU Xing校友 · Research Assistant · Mar. 2017 - Dec. 2018	—
YUAN Linping校友 · Visiting Intern from Xi'an Jiaotong University · Feb. 2018- Mar. 2018	2019 Xi’an Jiaotong University Bachelor, Software Engineering 2024 HKUST PhD, CSE Xi'an Jiaotong University	VR/AR、人机交互、数据可视化与空间计算
Bing Ni校友 · Research Associate and Computer Officer · since Mar. 2016	—
XIE Liwenhan校友 · Visiting Intern from Peking University · Aug. 2018 Google Scholar · Semantic Scholar · ORCID · LinkedIn · X · GitHub · OpenAlex OpenAlex 近三年 8 引用 242 h-index 7 GitHub 关注 55 Stars 394	Peking University BSc 2026 HKUST PhD Peking University	人机交互、表达技术与创意支持工具 Research Fellow, NUS School of Computing, Palette Lab（2026-07 起）
Alexander Merle Franklin校友 · Visiting UG student from Pomona College · 2018	Pomona College
Kristanto Sean N校友 · Research Assistant · Nov. 2016	—
Shaozu Cao校友 · PhD student · Aug. 2016 - Dec. 2017	Xi'an Jiaotong University
Haiyan Yang校友 · Research Assistant · Mar. 2016 - Aug. 2017	—
Janice CHUI校友 · Visiting UG student from MIT · Jul. 2016	MIT
Shuye Sun校友 · Visiting PG student from China Academy of Arts · Nov. 2015 - Apr. 2016	China Academy of Arts
Zhipeng Wang校友 · Visiting PG student from China Academy of Arts · Nov. 2015 - Apr. 2016	China Academy of Arts
Kuansheng Zou校友 · Visiting Scholar from Jiangsu Normal University · Dec. 2014 - Nov. 2015	Jiangsu Normal University
Chunyan Ma校友 · Visiting Scholar from Northwestern Polytechnical University · Dec. 2014 - Nov. 2015	Northwestern Polytechnical University
Wang Xi校友 · Visiting Intern from Beijing University of Posts and Telecommunications · Aug. 2015 - Sep. 2015	Beijing University of Posts and Telecommunications
Weifeng Chen校友 · Visiting Scholar from Zhejiang University of Finance and Economics · Sep. 2015 - Nov. 2015	Zhejiang University of Finance and Economics
Yuhua Liu校友 · Visiting Intern from East China Normal University · Mar. 2015 - Aug. 2015	East China Normal University	associate professor at Zhejiang University of Finance and Economics
Qiaomu Shen校友 · Visiting Intern and Research Assistant · since Jun. 2014	Sichuan University
Fangzhou Guo校友 · Visiting Intern and Research Assistant from Zhejiang University · Sep. 2014	Zhejiang University
Jiayi Xu校友 · Research Assistant · Sep. 2014 - Jul. 2015	—	PhD of Ohio State University at 2015
Zhiguang Zhou校友 · Visiting Scholar from Zhejiang University of Finance and Economics · Jan. 2015 - Apr. 2015	Zhejiang University of Finance and Economics
Jiayu Tang校友 · Visiting Intern from Tsinghua University · Jul. 2013 - Aug. 2013	Tsinghua University
Guodao Sun校友 · Visiting Intern from Zhejiang University of Technology · Feb. 2013 - Jun. 2013	Zhejiang University of Technology	professor at Zhejiang University of Technology
Fan Du校友 · Visiting Intern from Zhejiang University · Sep. 2012 - Mar. 2013	Zhejiang University	PhD of University of Maryland at 2013
Shiguo Huang校友 · Visiting Scholar from Fujian Agriculture and Forestry University · Jul. 2013 - Aug. 2013	Fujian Agriculture and Forestry University
Li Liu校友 · Visiting Scholar from Beijing Technology and Business University · Sep. 2012 - Jun. 2013	Beijing Technology and Business University
Yunhai WANG校友 · Research Assistant from China Academy of Science · 2010	China Academy of Science	Professor at Renmin University
Anbang XU校友 · Research Assistant from Beijing Normal University · 2007	Beijing Normal University	PhD of UIUC at 2009) (Now Nvidia
Xiaotao YANG校友 · Research Assistant from Fudan University · 2007	Fudan University
Zhengmao XIE校友 · Visiting Scholar from Peking University · 2006	Peking University
Ying TANG校友 · Visiting Scholar from Zhejiang University · 2005	Zhejiang University	Professor of Computer Science, Zhejiang University of Technology) Selected UROP/FYP students:
WANG Yanbang校友 · UROP at 2017/2018 · 2017	—	Ms of Stanford at 2019
GU Qiao校友 · UROP at 2018 · 2018	—	Ms of CMU at 2019
DU Xinnan校友 · FYP at 2018 · 2018	—	Ms of CMU at 2019
ZHU Xinyu校友 · FYP at 2018 · 2018	—	Ms of CMU at 2018
YU Zheqing校友 · FYP at 2018 · 2018	—	Ms of Berkeley at 2018
CHEN Shaoyu校友 · UROP at 2015 · 2015	—	PhD of NYU at 2017
ZOU Yuxuan校友 · UROP at 2015 · 2015	—	UIUC at 2017
DENG Bowen校友 · UROP at 2015 · 2015	—	CMU at 2017
WU Tongshuang校友 · UROP at 2014 · 2014	—	PhD of University of Washington at 2016; IEEE PacificVis Best Notes Award) (Now assistant professor at CMU
Po Ming Law校友 · FYT at 2015 · 2015	—	PhD of Georgia Tech at 2016; The HKUST Academic Achievement Medal Winner
CHAN Yuek Yin校友 · UROP and FYP at 2015 · 2015	—	PhD of New York University at 2016; Best FYP and ASM Technology Award Winner; UROP Award First Runner Up; IEEE VAST Challenge Honorable Mention; now researcher at Adobe Research
WANG Tianyu校友 · UROP at 2015 · 2015	—	PhD of Duke University at 2016; IEEE VAST Challenge Honorable Mention
WANG Ding校友 · FYP at 2014 · 2014	—	PhD of University of California, San Diego at 2015
GAO Lisheng校友 · FYP at 2014 · 2014	—	Msc of Carnegie Mellon University at 2016; The HKUST Academic Achievement Medal Winner
XU Lanxiao校友 · UROP at 2014 · 2014	—	Msc of Carnegie Mellon University at 2015
YU Yue校友 · UROP at 2009 · 2009	HKUST BSc, Social Science and Computer Science 2025 HKUST MPhil, Computer Science	社会流动与不平等的计算研究、图像视频创作的人机协作 PhD of Stanford at 2011
WU You校友 · UROP at 2008 · 2008	—	PhD of Duke at 2010
LIU Jingbo校友 · UROP at 2008 · 2008	—	PhD of HKUST at 2010
ZHUO Wei校友 · UROP at 2007 and 2008 · 2007	—	PhD of Georgia Tech at 2009; The HKUST Academic Achievement Medal
CHAN Wing Yi校友 · UROP at 2005 and 2006 · 2005	—	Mphil of HKUST at 2007; The HKUST Academic Achievement Medal Winner) University and Professional Activities:
FAN, Pak Ming校友 · PhD, CSE · 2024	2024 HKUST PhD, CSE
KVASOV, Andrei校友 · MPhil, CSE · 2023	2023 HKUST MPhil, CSE

教育与履历

教育背景

Xi’an Jiaotong University
BS, Mathematics
Stony Brook University
MS, Computer Science
2004
Stony Brook University
PhD, Computer Science

任职经历

2004–2010
HKUST
Assistant Professor
2010–2015
HKUST
Associate Professor
2015–
HKUST
Professor
2020
HKUST (Guangzhou)
Founding Acting Head, CMA
2021–
HKUST
Founding Head, EMIA
HKUST
Chair Professor, CSE; Founding Dean, AIS

学术服务

可视化领域资深领导者，兼有跨学科组织与博士培养职责。

指导方式与组内生活

博士毕业生致谢记载每周 office hours、持续写作与反思训练、直接反馈和独立选题空间。

交流安排学生记录

Leixian Shen（2026）与 Haobo Li（2026）的博士致谢均记载每周 office hours，讨论文献、研究想法、表达与决策方法。

研究训练学生记录

Haobo Li（2026）记载组内使用 BBS、读书笔记、项目进展与自我反思，持续练习表达和研究判断。

反馈方式学生记录

Kam Kwai Wong（2026）与 Liwenhan Xie（2026）在致谢中描述导师直接说明评价及其理由，并给予独立探索问题的空间。

研究访问学生记录

Kento Shigyo（2025）记载自己在日本读硕士期间赴 VisLab 进行两个月研究实习。

个别支持与交流学生记录

Yanna Lin（2024）记载，遇到困难时导师会安排一对一讨论，并持续提供每周 office hours；她在博士期间参加会议和交流的行程覆盖 7 个国家、10 多个城市。

研究判断与访问资助学生记录

Zhutian Chen（2019）记载导师帮助他区分工程投入与研究贡献，并为访问产业和学术机构提供经济支持。

训练要求学生记录

Haobo Li（2026）称导师要求严格，会给出直接批评；其致谢将持续输入、写作、项目汇报、自我反思与独立判断视为核心训练。

业界合作与实习

合作机构: 2家
合作记录: 2条
成员产业经历: 17条

Trumptech Digital Education Services Limited；Microsoft Research Asia

Trumptech Digital Education Services Limited 资助研究项目
与 Innovation and Technology Fund 联合资助 K–12 计算思维的个性化分析与反馈平台；负责人；2023–2025
Microsoft Research Asia 资助研究项目
可视化、模型、知识与蜕变关系结合的可解释 AI；参与；2020–2024

成员实习与产业经历

2023-07 起
MA Hanlu · Alibaba Cloud
Designer
2024-06–2026-04
Yihao MENG · Ant Research, LingBot
Research Scientist Intern；HKUST 博士阶段；分别与 Haoqi Fan、Sanja Fidler、Hao Ouyang 和 Yujun Shen 团队合作；Research Scientist Intern
2026-08–
Yihao MENG · ByteDance Seed
Research Scientist Intern；HKUST 博士阶段；分别与 Haoqi Fan、Sanja Fidler、Hao Ouyang 和 Yujun Shen 团队合作；Research Scientist Intern
2026-05–2026-08
Yihao MENG · NVIDIA Spatial Intelligence Lab
Research Scientist Intern；HKUST 博士阶段；分别与 Haoqi Fan、Sanja Fidler、Hao Ouyang 和 Yujun Shen 团队合作；Research Scientist Intern
硕士阶段
XUE Haiwei · Tencent
Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
硕士阶段
XUE Haiwei · Microsoft Research Asia
Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
硕士阶段
XUE Haiwei · Huawei
Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
硕士阶段
XUE Haiwei · 01.AI
Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
硕士阶段
XUE Haiwei · Ant Group
Algorithm Intern；成员主页明确列在清华硕士阶段；Algorithm Intern
Zhonghua Sheng · Guangzhou Zaidao Information Technology Co., Ltd.
Co-founder
FANSEU KAMHOUA, Barakeel · Meridian Innovation, HKSTP
Software Engineer, R&D
MA Hanlu · 2x4 Beijing
Designer
两年以上，博士入学前
LI Haobo · Intel
Industry experience
读博前
CAO Yifan · Tencent
Journalist / Editor
读博前
CAO Yifan · Jazzyear
Journalist / Editor
博士入学前，数年
LO Yu Ho
Software Engineer
FUNG Ka Yan · Gabi Education Limited
Founder

学术影响与网络关注

计算标准

院系样本分位

累计引用79P79

h-index79P79

2024–2026 论文93P93

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 578 篇 · i10-index 245 · 截至 2026-10-17

Qian ZHANG

張黔

Tencent Professor of Engineering Chair Professor

个人主页 · 学校档案 · 档案

实验室: Qian Group；Digital Life Research Center
博士毕业于: Wuhan University · 1999
研究主线: Computer networking；Wireless systems；Cyber-physical systems；Mobile computing；Cybersecurity；Smart health and mobile sensing

累计引用: 21,168次
h-index: 68
2024–2026 论文: 79篇
在组成员: 60人

研究方向

Computer networking
Wireless systems
Cyber-physical systems
Mobile computing
Cybersecurity
Smart health and mobile sensing
主页当前兴趣含 IoT、smart health、mobile computing/sensing；已读工作覆盖血压和呼吸疾病。

从 wireless networking、cognitive radio 与协议转向 IoT、mobile sensing 和 smart health。当前项目覆盖呼吸、神经疾病、血压、肌骨康复、食品光谱与交互，安全和网络仍在官方方向内。

物理/生理机制、低成本传感与临床协作

组公开声明平衡算法、系统和真实验证；三篇样本使用不同传感模态和真实受试者。

代表论文与近期发表

2024AI-driven system for non-contact continuous nocturnal blood pressure monitoring using fiber optic ballistocardiographyCommunications Engineering

研究问题: 持续夜间血压测量与睡眠舒适性冲突。
核心方法: 枕下光纤 BCG、深特征与生理 fiducial features、边缘个性化和睡姿识别。
实验结果: 158 位受试者的公开与自采数据评估，覆盖多血压范围和睡眠条件。
实验条件与边界: 系统使用个性化设置，实验结果对应论文的传感与姿态条件。
课题组研究线: 延续无创日常健康感知。
核阅章节: Abstract、Introduction（开头）、Discussion（开头）

2024Contactless Arterial Blood Pressure Waveform Monitoring with mmWave RadarIMWUT；UbiComp 2025 展示

研究问题: 逐搏 ABP 波形需要细粒度、无接触重建。
核心方法: mmFormer、beamforming 数据增强、ECG/PPG 跨模态 teacher-student。
实验结果: 43 人 LOSO waveform correlation 0.903，点误差均值 -0.14 mmHg、标准差 7.48 mmHg。
实验条件与边界: 系统要求相对静坐；多姿态和多人场景留作后续。
课题组研究线: 从离散血压估计走向波形与心脏指标。
核阅章节: Abstract、Introduction（开头）、§8.1 Usage Scenario、§10 Concluding Remarks

2025AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regionsnpj Digital Medicine

研究问题: 基层 COPD 急性加重筛查受专业人员与主观报告限制。
核心方法: 手机引导深呼吸和咳嗽录音，结合声学 foundation model 与多模态 fusion-attention。
实验结果: 多中心研究报告 AUC 0.955；记录操作点 sensitivity 89.9%、specificity 93.8%。
实验条件与边界: 健康经济收益来自模型推算；筛查准确率与真实医疗结局分别验证。
课题组研究线: 延续 commodity-device 呼吸健康与医院合作。
核阅章节: Abstract、Introduction（开头）、Discussion（开头）

2024–2026 论文目录（共 79 篇）

2026 年18 篇

2025 年37 篇

2024 年24 篇

实验室与成员

Qian Group；Digital Life Research Center

博士生: 14
硕士生: 42
博士后: 3
RA、访问与其他: 1

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Computer networking；Wireless systems；Cyber-physical systems；Mobile computing；Cybersecurity；Smart health and mobile sensing

在组成员60

成员	教育背景	研究方向与经历
Wentao Xie (谢文涛)Research Assistant ProfessorCSE X · LinkedIn · Google Scholar	2024 HKUST PhD, CSE	ubiquitous sensors、interaction、smart healthcare、wearables
Haiyan Hu (胡海燕)PostdocCSE Google Scholar · GitHub GitHub 关注 0 Stars 0	2020 Wuhan University BEng, Computer Science and Technology	smart healthcare、optical sensing、health data mining、low-cost spectroscopy
Huixin Dong (董慧鑫)Postdoc	HUST PhD	IoT、AI、contactless sensing
Qingyong Hu (胡清泳)PostdocCSE	2015–2020 USTC BSc, Computer Science and Technology	mmWave human-centric contactless sensing、AIoT
Xinyi Zhang (张欣怡)PhDCSE	2017–2021 Zhejiang University BEng, Electrical Engineering	smart health、wearable computing、AIoT、HCI
Chi Xu (徐驰)PhDCSE GitHub GitHub 关注 33 Stars 22	2023 SUSTech Bachelor	smart healthcare、HCI、software engineering
Shanwen Chen (陈善文)PhDCSE	Shandong University Bachelor, CSE
Jinjian Wang (汪金剑)PhDCSE	HUST BEng, Electronic Information Engineering	hardware design、embedded systems、wireless sensing for health
Yizhen Zhang (张怡桢)PhDCSE GitHub	2020–2024 Nankai University BSc, Software Engineering	smart healthcare、HCI
Jingqi Lin (林静琦)PhDCSE	2021–2025 HUST BEng, Communication Engineering	smart sensing、multimodal intelligence
Yuxin Tan (谭雨欣)PhDCSE	Sichuan University BEng, Cyber Security	ubiquitous computing、smart healthcare、ML for sensing
Yuyao Wu (吴雨垚)PhDECE	HUST BEng, Electronic Information Engineering	multimodal perception、endpoint deployment
Junyao Peng (彭俊尧)MPhilCSE	HUST BEng, Communications	medical engineering integration、hardware、embedded algorithms
Xuange LiangPhDCSE	—
Ruilian RuPhDIIP	—	共同指导；；Individualized Interdisciplinary Program
Ziming ZhangPhDCSE	—
Qiyuan ZhuPhDIIP	—	共同指导；；Individualized Interdisciplinary Program
Zhifeng JiaPhDIndividualized Interdisciplinary Program (Data Science and Analytics)	—	共同指导；；Individualized Interdisciplinary Program
Tianjia ZhangPhDIIP	—	共同指导；；Individualized Interdisciplinary Program
Chenghao ChangMPhilTIE · 科技创新与创业	—
Jiaying ChenMPhilTIE · 科技创新与创业	—
Kaiyu ChenMPhilTIE · 科技创新与创业	—
Linying DuanMPhilTIE · 科技创新与创业	—
Zetao FanMPhilTIE · 科技创新与创业	—
Chuyue GongMPhilTIE · 科技创新与创业	—
Ming Sum Jonathan HoMPhilTIE · 科技创新与创业	—
Ka Yan HongMPhilTIE · 科技创新与创业	—
Lei HuaMPhilTIE · 科技创新与创业	—
Lei HuangMPhilTIE · 科技创新与创业	—
Runchang JiangMPhilTIE · 科技创新与创业	—
Yuxuan KeMPhilTIE · 科技创新与创业	—
Danyal Faisal KhanMPhilTIE · 科技创新与创业	—
Pui Man LeeMPhilTIE · 科技创新与创业	—
Jieying LiMPhilTIE · 科技创新与创业	—
Shiyi LiMPhilTIE · 科技创新与创业	—
Haotian LinMPhilTIE · 科技创新与创业	—
Chaoyang LiuMPhilTIE · 科技创新与创业	—
Fangzhou LiuMPhilTIE · 科技创新与创业	—
Xin LiuMPhilTIE · 科技创新与创业	—
Kuang LuoMPhilTIE · 科技创新与创业	—
Linghui MiaoMPhilTIE · 科技创新与创业	—
Zulei MuMPhilTIE · 科技创新与创业	—
Huiling PanMPhilTIE · 科技创新与创业	—
Jialin PanMPhilTIE · 科技创新与创业	—
Ruiling PuMPhilTIE · 科技创新与创业	—
Hong ShengMPhilTIE · 科技创新与创业	—
Kaixin WangMPhilTIE · 科技创新与创业	—
Yuchao WangMPhilTIE · 科技创新与创业	—
Ziming WangMPhilTIE · 科技创新与创业	—
Yang WeiMPhilTIE · 科技创新与创业	—
Zeyu WuMPhilTIE · 科技创新与创业	—
Lin XiangMPhilTIE · 科技创新与创业	—
Siyu YanMPhilTIE · 科技创新与创业	—
Liu YangMPhilTIE · 科技创新与创业	—
Hei Chung YauMPhilTIE · 科技创新与创业	—
Xuyang ZhangMPhilTIE · 科技创新与创业	—
Zhihao ZhangMPhilTIE · 科技创新与创业	—
Mingze ZhaoMPhilTIE · 科技创新与创业	—
Yifei LinMPhilIIP	—	；Individualized Interdisciplinary Program
TARANJIT-SINGHMPhilTIE · 科技创新与创业	—

校友与去向50

成员	教育背景	研究方向与经历
Chenggao Li (李承高)校友 · PhD studentCSE	2026 HKUST PhD
Baichen Yang (杨柏辰)校友 · PhD studentCSE GitHub GitHub 关注 8 Stars 2	2026 HKUST PhD
Meng Xue校友 · PostDoc	—	mobile and ubiquitous computing Shandong University
Yandao Huang校友 · Ph.D.Individualized Interdisciplinary Program (Internet of Things)	2025 HKUST PhD	smart healthcare and HAR ；共同指导；Individualized Interdisciplinary Program
Yinan Zhu校友 · Ph.D.CSE	2026 HKUST PhD	radio-light-visual sensing and IoT
Yanbin Gong校友 · Ph.D.CSE	2025 HKUST PhD	smart healthcare
Yuxuan Zhou校友 · Ph.D.CSE	2025 HKUST PhD	wireless sensing
Zirui Huang校友 · Mphil	—	musculoskeletal rehabilitation
Jiaxi Zhang校友 · MphilCSE	2025 HKUST MPhil	musculoskeletal rehabilitation
Linfei Ge校友 · Ph.D.CSE	2024 HKUST PhD	acoustic sensing
Hua Kang校友 · Ph.D.CSE	2023 HKUST PhD	IoT
Huangxun Chen校友 · Ph.D.	—	mobile and secure computing and IoT
Chenyu Huang校友 · Ph.D.	—	blockchain and mobile computing
Zeyu Wang校友 · Ph.D.	—	mobile computing
Qianyi Huang校友 · Ph.D.	—	mobile computing and IoT
Lin Yang校友 · Ph.D.	—	big mobile data analysis Huawei Corp.
Zhice Yang校友 · PostDoc	—	Mobile applications and Wireless Networks Shanghai Tech. University
Wei Wang校友 · RAP	—	Wireless Networks and IoT Huazhong Univ. of Science and Technology
Lu Wang校友 · PostDoc	—	wireless communications and networking Shenzhen Univ.
Jin Zhang校友 · Ph.D. and PostDoc	—	Wireless Cooperative Communication and Networking ；Ph.D.
Qing Liao校友 · Ph.D.	—	bioinformatics
Yanjiao Chen校友 · Ph.D.	—	Spectrum management for Cognitive Radio Networks
Jiansong Zhang校友 · Ph.D.	—	wireless LAN based networking and system
Xiaojun FENG校友 · Ph.D.	—	Vehicular Wireless Sensor Networks
Peng LIN校友 · Ph.D.	—	Cognitive Radio Networks and Dynamic Spectrum Management
Dawei CHEN校友 · Ph.D.	—	Resource Management and Spectrum Measurement in Cognitive - Networks
Chengqi SONG校友 · Ph.D.	—	Wireless Network Security
Ji LUO校友 · Ph.D.	—	Mobile Sensor Networking
Juncheng JIA校友 · Ph.D.	—	Cognitive Radio Networks and Dynamic Spectrum Management
Peng GUO校友 · PostDoc	—	protocol design for wireless sensor networks
Yan Mei校友 · MPhil	—	IoT
Yingjie Chen校友 · MPhil	—	Wireless Networks
Qinghong Chen校友 · MPhil	—
Zhe Lin校友 · MPhil	—	IoT in healthcare
Fan Zhang校友 · MPhil	—
Linlin YANG校友 · MPhil	—	network ad
Eric Lo校友 · MPhil	—	Cooperative MAC for Wireless Networks
XiaoRui PAN校友 · MPhil	—	Wireless Healthcare and Sensor Networks
Xing XU校友 · MPhil	—	Wireless Sensor Networking
Christopher LIM校友 · MPhil	—	Multi-radio Wireless Mesh Networks
HuiCheng (Addison) CHI校友 · Addison	—	CHI MPhil): P2P-based VoD service
Xiaoxi TANG校友 · MPhil	—	Wireless Healthcare
Zhong SHEN校友 · MPhil	—	Wireless Sensor Networks
Yanfeng Zhu校友 · co-supervised Ph.D. from Tsinghua University	—
Qing Chen校友 · co-supervised Ph.D. from Tsinghua University	—
Meng Zhang校友 · co-supervised Ph.D. from Tsinghua University	—
Jianben He校友 · PhD · 2024CSE	—	共同指导；
Qiucan Huang校友 · MPhil · 2024IIP	—	；Individualized Interdisciplinary Program
Manhao Situ校友 · MPhil · 2023IIP	—	；Individualized Interdisciplinary Program
Xinyuan Xu校友 · MPhil · 2023IIP	—	；Individualized Interdisciplinary Program

教育与履历

教育背景

1994
Wuhan University
BSc, Computer Science
1996
Wuhan University
MSc, Computer Science
1999
Wuhan University
PhD, Computer Science

任职经历

1999-07–2005
Microsoft Research Asia
Researcher；Wireless and Networking Group Research Manager
2005-09
HKUST
加入 CSE 教师队伍
HKUST CSE
Tencent Professor of Engineering and Chair Professor
HKUST Division of Integrative Systems and Design
Head and Chair Professor
HKUST
Program Director, MPhil in Technology Innovation and Entrepreneurship
HKUST
Co-Director, HKUST–Huawei Joint Laboratory

学术服务

无线与智慧健康的资深交叉研究者。

主页确认 IEEE Fellow、HKAE Fellow、2024 RGC Senior Research Fellow；曾任 IEEE TMC Editor-in-Chief（2020–2022）。

Head 职务所属单位为 Division of Integrative Systems and Design；CSE 职称为 Chair Professor，冠名教授职为 Tencent Professor of Engineering。

业界合作与实习

合作机构: 2家
合作记录: 3条
成员产业经历: 0条

学校项目记录列有企业资助的研究项目。

Microsoft Research Asia 资助研究项目
牵头项目 Developing an AI-Driven Cognitive Assessment Tool Utilizing Visual Stimuli（2025 - 2026）
Microsoft Research Asia 资助研究项目
牵头项目 HKUST-Microsoft MoE Key Joint Laboratory（2024 - 2026）
Nanjing Jiangxing Lianjia Intelligent Technology Co Ltd., Nanjing Municipal Science and Technology Bureau 资助研究项目
参与项目 Power equipment diagnosis system based on multimodal fusion large model（2024 - 2026）

学术影响与网络关注

计算标准

院系样本分位

累计引用85P85

h-index85P85

2024–2026 论文79P79

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 837 篇 · i10-index 407 · 截至 2026-10-17

Wikipedia 人物条目

近 12 个月浏览量: 394次

Gary Shueng-Han CHAN

陳雙幸

Professor

个人主页 · 学校档案 · 档案

实验室: Smart IoT and Sensing Systems Group
博士毕业于: Stanford University · 1999
研究主线: Smart sensing and IoT；Cloud and fog/edge AI；Indoor positioning and mobile computing；Video/user/data analytics and mining；IT entrepreneurship and technology transfer；健康与物流 AIoT 部署

累计引用: 8,101次
h-index: 37
2024–2026 论文: 22篇
在组成员: 11人

研究方向

Smart sensing and IoT
Cloud and fog/edge AI
Indoor positioning and mobile computing
Video/user/data analytics and mining
IT entrepreneurship and technology transfer
健康与物流 AIoT 部署
失智走失搜寻、医疗与物流传感系统；以多年运行反馈形成研究课题。

早期 video-on-demand、multimedia/networking 延伸至定位与移动计算，再到 AIoT、医疗健康、物流和场景感知。主页明确研究员与工程人员协作，部署问题驱动算法研究；DECS 与 DeMo 提供多年运行证据，GUFU 与 EMDUL 处理部署中的漂移与数据缺口。

产业运营问题驱动的感知算法与长期部署

公开研究说明与两篇部署论文相互支持，部署持续多年且报告具体用户、站点与案例。

代表论文与近期发表

2024Experiences of Deploying a Citywide Crowdsourcing Platform to Search for Missing People with DementiaMobiCom

研究问题: 城市中失智老人走失搜寻需要兼顾低成本、覆盖和社区参与。
核心方法: DECS 结合 BLE tags、志愿者手机、gateway 与时空行为信息，在香港持续部署并迭代。
实验结果: 论文报告 3,100 个家庭、45,000 次 app 下载、254 起走失案例及四年部署经验。
实验条件与边界: 覆盖与响应依志愿者和基础设施；观察数据用于描述运行表现，因果效果需额外设计。
课题组研究线: 将移动定位和 IoT 系统推进到真实公共服务。
核阅章节: Abstract、Introduction（开头）、Conclusion

2025DeMo: Experiences of Deploying a Large-Scale Indoor Delivery Monitoring SystemIEEE TMC；扩展既有部署工作

研究问题: 大型室内物流需识别推车速度、路径与目的地违规，密集指纹采集成本高。
核心方法: 组合 IMU、BLE 与修改后的无线传播模型，建立 fingerprint-free delivery monitoring。
实验结果: 自 2020 年起在 12 个地铁站、约 200 商铺运行；记录 74,537 次配送、6,193.2 km。观察到违规比例从 19% 降至 0.9%。
实验条件与边界: 多年运营数据中存在人员与流程共同变化；论文记录的改善幅度属于该部署。
课题组研究线: 与城市感知、物流技术转化主线相连。
核阅章节: Abstract、Introduction（开头）、Conclusion

2025Graph-based Fingerprint Update Using Unlabelled WiFi SignalsIMWUT

研究问题: WiFi fingerprint 随时间变化，重新标注位置代价大。
核心方法: GUFU 将 RSS/AP 结构建成图，以 GNN/link prediction 利用未标注信号更新既有指纹。
实验结果: 4 个场地、跨 1–8 个月数据中，RSS prediction error 降 21.4%，localization error 降 29.8%。
实验条件与边界: 依赖既有 fingerprint 与信号相似性提供的空间约束；跨不同设备/环境的收益另测。
课题组研究线: 围绕定位系统持续维护与分布漂移。
核阅章节: Abstract、Introduction（开头）、Conclusion

2026Expanding mmWave Datasets for Human Pose Estimation with Unlabeled Data and LiDAR DatasetsCVPR

研究问题: mmWave pose estimation 的标注数据稀缺，跨环境泛化有限。
核心方法: EMDUL 以时间一致性筛选 pseudo labels，并用闭式 LiDAR-to-mmWave 转换和 flow-based point filtering 扩充数据。
实验结果: 论文报告 HPE error 在域内降 15.1%、域外降 18.9%。
实验条件与边界: LiDAR 到 mmWave 的转换近似与伪标签质量限制迁移；结果依感知条件与任务集。
课题组研究线: 由定位扩展到 RF spatial intelligence，持续处理真实感知数据约束。
核阅章节: Abstract、Introduction（开头）、Conclusion

2024–2026 论文目录（共 22 篇）

2026 年2 篇

2025 年10 篇

2024 年10 篇

实验室与成员

Smart IoT and Sensing Systems Group

博士生: 5
硕士生: 6

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Smart sensing and IoT；Cloud and fog/edge AI；Indoor positioning and mobile computing；Video/user/data analytics and mining；IT entrepreneurship and technology transfer；健康与物流 AIoT 部署

在组成员11

成员	教育背景	研究方向与经历
Song Sizhe AndyPhDCSE LinkedIn · GitHub · Google Scholar GitHub 关注 15 Stars 21	2017–2021 HKUST BSc, Computer Science and General Mathematics 2020 Spring Purdue University Exchange 2023-08 HKUST MPhil, Computer Science and Engineering	video analytics、action recognition；MPhil 论文：Flow-Count: An Efficient Flow-Based Video Crowd Counting Network
Peng Zhuoxuan SamuelPhDCSE	2022 HKUST BSc, Computer Science 2024-08 HKUST MPhil, Computer Science and Engineering	3D human sensing、video understanding；MPhil 论文：Single Domain Generalization for Crowd Counting
Tu TianyuPhDCSE	—	Multi-modal IoT sensing
Chiu Ka Ho AlexPhDCSE	2025-11 HKUST MPhil, Computer Science and Engineering	AIoT sensing；MPhil 论文：Graph-based Fingerprint Update Using Unlabelled WiFi Signals
Zhang Yukai JimPhDCSE	—	VLM
Yang Lin LisaMPhilCSE	—	Video analytics
Zhu Boan BruceMPhilCSE	—	Video analytics
Jian Yu Kei JaneMPhilCSE	—	Pervasive localization
Chang JoshuaMPhilCSE	—	3D reconstruction
Ta Ngoc LinhMPhilCSE	—	3D reconstruction
Lieu Kaixuan RyanMPhilCSE	—	AIoT sensing

校友与去向71

成员	教育背景	研究方向与经历
Zhong Shuhan校友 · Postdoctoral Fellow · 2026-06–2026-08CSE	2026-03 HKUST PhD, Computer Science and Engineering	PhD 论文：Multivariate Time Series Analysis with Deep Learning
Liu Mengyun Amy校友 · Postdoctoral Fellow · 2020-06–2022-10	—
He Suining Henry校友 · Postdoctoral Fellow · 2016-09–2016-10	2016-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Enhancing Accuracy for Fingerprint-based Indoor Localization
Zheng Zeyu Linda校友 · Postdoctoral Fellow · 2013-10–2014-05	—
Long Fei校友 · Postdoctoral Fellow · 2010-10–2011-09	—
Jin Xing校友 · Postdoctoral Fellow · 2007-09–2008-08	2007-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Topology Inference and Tree Construction for Topology-Aware Overlay Streaming
Zheng Guifeng校友 · Postdoctoral Fellow · 2006-08–2008-03	—
Lin Lidong校友 · Postdoctoral Fellow · 2007-02–2007-10	—
Chen Jiancong Kent校友 · Postdoctoral Fellow · 2004-09–2005-08	2004-07 HKUST PhD, Computer Science	PhD 论文：Mixed-Mode Wireless Networks: Framework and Power Control Issues
He Tianlang校友 · PhD · 2026CSE	2026-02 HKUST PhD, Computer Science and Engineering	PhD 论文：Overcoming Data Distribution Shift in AIoT Mobile Sensing
Chen Jierun校友 · PhD · 2025CSE	2025-01 HKUST PhD, Computer Science and Engineering	PhD 论文：Efficient Neural Networks for Image Recognition and Generation on the Edge
Chang Zhangyu校友 · PhD · 2023CSE	2015-08 HKUST MPhil, Computer Science and Engineering 2023-12 HKUST PhD, Computer Science and Engineering	PhD 论文：Approximation Algorithms for Auto-Scaling Video Cloud；MPhil 论文：Bucket-filling: An Asymptotically Optimal Video-on-demand Network with Source Coding
Zhuo Weipeng Steve校友 · PhD · 2023CSE Google Scholar · GitHub GitHub 关注 28 Stars 8	2013-08 HKUST MPhil, Computer Science and Engineering 2023-12 HKUST PhD, Computer Science and Engineering	PhD 论文：Area Classification for RF Signals: A Graph Neural Network Approach；MPhil 论文：Contjunction: Indoor Localization Based on Junction of Signal Contours
Li Guanyao校友 · PhD · 2022	2022-05 HKUST PhD, Computer Science and Engineering	PhD 论文：Spatial-Temporal Data Mining: Co-Location Detection and Flow Forecasting
Tan Jiajie校友 · PhD · 2021	2021-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Efficient RF-based Location Sensing
Wong Wang Kit Jerry校友 · PhD · 2019	2019-07 HKUST PhD, Computer Science and Engineering	PhD 论文：Optimization of User Association for Wireless Local Area Networks
Zhang Bo校友 · PhD · 2016	2016-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Efficient Live Video Streaming for Wireless Multi-hop Networks
Ren Dongni Tony校友 · PhD · 2014	2009-08 HKUST MPhil, Computer Science and Engineering 2014-08 HKUST PhD, Computer Science and Engineering	PhD 论文：Next-Generation Video Streaming Networks；MPhil 论文：Fast-Mesh: A Low-Delay High-Bandwidth Mesh for Peer-to-Peer Live Streaming
Ma Mengyao校友 · PhD · 2009	2009-01 HKUST PhD, Computer Science and Engineering	PhD 论文：Error Resilience and Concealment Techniques for Packet Video Transmission 与 Oscar Au（ECE）共同指导
Yiu Wai Pun Ken校友 · PhD · 2008	2004-08 HKUST MPhil, Computer Science 2008-01 HKUST PhD, Computer Science and Engineering	PhD 论文：Offering Reliability and Interactivity for Peer-to-Peer Streaming；MPhil 论文：Secure Overlay Multicast
He Jingyi校友 · PhD · 2004	2004-08 HKUST PhD, Electrical and Electronic Engineering	PhD 论文：Routing and Channel Assignment in Optical and Wireless Networks 与 Danny Tsang（ECE）共同指导
Wu Bohuai校友 · MPhil · 2024CSE	2024-06 HKUST MPhil, Computer Science and Engineering	MPhil 论文：A Spatial-Temporal Multitask Deep-Learning Pipeline to Predict CT Perfusion Parameters
Bai Haoyue校友 · MPhil · 2022	2022-05 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
Kwok Ka Kit Alex校友 · MPhil · 2022	2022-01 HKUST MPhil, Technology Leadership and Entrepreneurship	MPhil 论文：Enabling Smart Car Park Adoption with Innovative AI Camera: A Design Thinking Approach
Zhang Zheng Murphy校友 · MPhil · 2021	2021-12 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Fusing RF and IMU Signals with HMM in a Docked Phone for Indoor Carpark Navigation
Wong Man Yu Willis校友 · MPhil · 2021	2021-09 HKUST MPhil, Computer Science and Engineering	MPhil 论文：SiFu: A Generic and Robust Multimodal Signal Fusion Platform for Pervasive Localization
Fung Ka Yan Gabi校友 · MPhil · 2021	2021-08 HKUST MPhil, Technology Leadership and Entrepreneurship	MPhil 论文：Research and Development of A Novel Mobile Chinese Application for Dyslexia Pre-screening
Wen Song校友 · MPhil · 2019	2019-12 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Unsupervised Video Super-Resolution with Temporal Consistency using GAN
Deng Zhiheng校友 · MPhil · 2019	2019-09 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Sifu: A Fingerprint-based Localization Framework to Fuse Heterogeneous Signals
Zhang Yifeng John校友 · MPhil · 2019	2019-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：AHEG: Attention-based Heterogeneous Graph Convolutional Networks
Mar Wing Lun Hugo校友 · MPhil · 2018	2018-08 HKUST MPhil, Technology Leadership and Entrepreneurship	MPhil 论文：Fingerprint-based Indoor Sensing: Technology and Commercialization
Han Lichao校友 · MPhil · 2018	2018-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Path Construction Under MAC Address Randomization
Chow Ka Ho Samuel校友 · MPhil · 2018	2018-06 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Efficient Locality Classification for Indoor Fingerprint-based Systems
Raghuraman Sathish校友 · MPhil · 2017	2017-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Scalable Video Broadcasting on Fog: Implementation and Experimental Study
Thakur Avishek Kumar校友 · MPhil · 2017	2017-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Coverage Control and Channel Assignment for WLANs with Maximum Power Association
Wu Hang校友 · MPhil · 2017	2017-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Efficient Indoor Localization with Geomagnetism
Zhuang Qidong Alan校友 · MPhil · 2016	2016-08 HKUST MPhil, Technology Leadership and Entrepreneurship	MPhil 论文：From Cloud to Fog: Scaling up a Network with Crowd-sourcing
Au Ka Wai David校友 · MPhil · 2016	2016-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Optimizing Auto-scaling Virtual Machines for a Cloud-based VoD Data Center
Lin Wenbin Ben校友 · MPhil · 2015	2015-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Indoor Localization and Fingerprint Update with Altered Access Points
Dai Jie校友 · MPhil · 2015	2015-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Delay Optimization for Multi-source Multi-channel Overlay Live Streaming
Hu Tianyang校友 · MPhil · 2015	2015-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Towards Practical Deployment of Wi-Fi Fingerprint-Based Indoor Localization
Xiong Hongzheng Andy校友 · MPhil · 2015	2015-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Movie Allocation and Traffic Distribution Optimization for Auto-Scaling Virtual Machines in a Cloud VoD Data Center
Ji Bo校友 · MPhil · 2014	2014-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Chameleon: Survey-Free Updating of Fingerprint Database for Indoor Localization
Xu Zhuolin Fannie校友 · MPhil · 2012	2012-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Optimizing Segment Storage and Retrieval for Distributed Video-on-Demand
Hong Wa Lun Warner校友 · MPhil · 2011	2011-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：CRAG: Game-Based Joint Channel and Routing Assignment for Wireless Mesh Networks
Li Jingwei Aaron校友 · MPhil · 2011	2011-01 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Distributed and Cooperative Segment Caching for Mobile Peer-to-Peer Interactive Streaming
Yuen Chun Ho校友 · MPhil · 2010	2010-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Scalable Peer-to-Peer Monitoring: Design and Measurement
Xia Pengye Henry校友 · MPhil · 2010	2010-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Optimal Bandwidth Assignment for Multiple-Description-Coded Video
Cheng Chi Him校友 · MPhil · 2010	2010-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Collaborative ISP-CP Live Streaming
Yue Xiaonan John校友 · MPhil · 2010	2010-07 HKUST MPhil, Computer Science and Engineering	MPhil 论文：CACAO: Distributed Client-Assisted Channel Assignment Optimization for Uncoordinated WLANs
He Ting Eric校友 · MPhil · 2010	2010-04 HKUST MPhil, Computer Science and Engineering	MPhil 论文：\piMesh: Practical Implementation of a Low-Cost Wireless Mesh for Indoor Networking
Li Yue Tung Hillman校友 · MPhil · 2009	2009-10 HKUST MPhil, Computer Science and Engineering	MPhil 论文：RMesh: A Low-Delay Robust Mesh for Dynamic Peer-to-Peer Streaming Network
Chan Kam Hung Kelvin校友 · MPhil · 2009	2009-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：SPANC: Optimizing Scheduling Delay for Peer-to-Peer Live Streaming
Tang Ho Shing Wilson校友 · MPhil · 2008	2008-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：POPCA: Optimizing Segment Caching for Peer-to-Peer On-Demand Streaming
Chan Chi Fung Michael校友 · MPhil · 2008	2008-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：MOLE: Multi-Hop Object Location in Wireless Mesh Networks
Li Shenjie校友 · MPhil · 2008	2008-05 HKUST MPhil, Computer Science and Engineering	MPhil 论文：BOPPER: Broadcast-Based Peer-to-Peer Error Recovery for Wireless Video
Wong Chi Fai Michael校友 · MPhil · 2007	2007-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：CACAO: Client-Assisted Channel Assignment Optimization for Uncoordinated Home WLANs
Cheung Victor校友 · MPhil · 2006	2006-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Distributed Position Estimation for Wireless Sensor Networks
Leung Man Fung Stanley校友 · MPhil · 2006	2006-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Peer-to-Peer Collaborative Streaming among Mobiles for Video Broadcasting
Cheng Kan Leung校友 · MPhil · 2006	2006-08 HKUST MPhil, Computer Science and Engineering	MPhil 论文：Offering Differentiated Services for Peer-to-Peer Streaming
Ho Chi Wang Jody校友 · MPhil · 2006	2006-08 HKUST MPhil, Computer Science	MPhil 论文：Fast Video Transcoding and Graphics Hardware Acceleration 与 Oscar Au（ECE）共同指导
Wong Kin Fung Simon校友 · MPhil · 2004	2004-08 HKUST MPhil, Computer Science	MPhil 论文：Lateral Error Recovery for Application-Level Multicast
Cheuk Kin Wai Roger校友 · MPhil · 2004	2004-08 HKUST MPhil, Computer Science	MPhil 论文：Island Multicast: The Combination of IP Multicast and Application Layer Multicast
Wong Wan Ching William校友 · MPhil · 2003	2003-08 HKUST MPhil, Computer Science	MPhil 论文：SALM: An Efficient Application-level Multicast Protocol for Dynamic Groups
Zheng Xing校友 · MPhil · 2003	2003-07 HKUST MPhil, Computer Science	MPhil 论文：Ultrasound Image Processing and Transmission for Medical Applications 与 Albert Chung 共同指导
Chan Kin Ching校友 · MPhil · 2001	2001-08 HKUST MPhil, Computer Science	MPhil 论文：Distributed Server Approach for Large-Scale Secure Multicast
Lee Tak Wan, Angus校友 · MPhil · 2001	2001-08 HKUST MPhil, Computer Science	MPhil 论文：Joint Allocation of FEC and Bandwidth across Layers for Video Multicast over Wired and Wireless Networks
Yeung Siu Hong Ivan校友 · MPhil · 2000	2000-09 HKUST MPhil, EE	MPhil 论文：Providing Cost-Effective Networked Video Services by Means of Data Broadcasting and Delay-Aware Scheduling 与 Ted Kok 共同指导
Ning Luo校友 · PhD · 2025Individualized Interdisciplinary Program (Innovation, Policy and Entrepreneurship)	—	共同指导
Wing Ho Cheung校友 · MPhil · 2026CSE	—
Adriel Abraham Intan校友 · MPhil · 2026CSE	—

教育与履历

教育背景

1993
Princeton University
BSE, Electrical Engineering
1994
Stanford University
MSE, Electrical Engineering
1999
Stanford University
PhD, Electrical Engineering

任职经历

HKUST CSE
Professor

学术服务

网络与感知系统的应用研究及技术转化型教授；有多年部署与可核验社会服务荣誉。

指导方式与组内生活

公开新生指南要求学生自主驱动议题、完成研究并清楚表达；采用弹性工时，强调到校互动、及时沟通与团队协作。

师生关系

指南建议将导师视为研究同事；学生推动研究议程，并在会面中说明问题价值、已做工作与方法依据。

到校与响应

工作时数采用弹性安排；指南期望至少一半工作时间在办公室或校园，白天对邮件保持合理响应。

辅助工作

TA、审稿、demo、汇报、产业项目及会议组织等辅助任务通常每周不超过 10 小时。

研究训练

重视创造力、广度与深度、数学工具、独立批判思考、完整交付及英文写作汇报。

个人生活

指南鼓励休闲时间继续音乐、阅读、运动等个人兴趣。

业界合作与实习

合作机构: 13家
合作记录: 13条
成员产业经历: 0条

研究员与工程人员联合开展多年部署，导师主页列企业支持和技术转化。

Boeing 研究支持
导师主页列为研究支持企业。
China Mobile 研究支持
导师主页列为研究支持企业。
Cisco 研究支持
导师主页列为研究支持企业。
Google 研究支持
导师主页列为研究支持企业。
HP 研究支持
导师主页列为研究支持企业。
Huawei 研究支持
导师主页列为研究支持企业。
Microsoft 研究支持
导师主页列为研究支持企业。
New World Development 研究支持
导师主页列为研究支持企业。
Sun Hung Kai Properties 研究支持
导师主页列为研究支持企业。
TCL 研究支持
导师主页列为研究支持企业。
Tencent 研究支持
导师主页列为研究支持企业。
UMP 研究支持
导师主页列为研究支持企业。
Compathnion Technology 技术转化
定位、室内导航和 StayHomeSafe 转化项目在导师主页列示。

学术影响与网络关注

计算标准

院系样本分位

累计引用67P67

h-index58P58

2024–2026 论文44P44

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 313 篇 · i10-index 127 · 截至 2026-10-17

Kai CHEN

陳凱

Professor

个人主页 · 学校档案 · 档案

实验室: iSING Lab；WeChat-HKUST Joint Lab（WHAT Lab）
博士毕业于: Northwestern University · 2012
研究主线: Data center networking；Machine learning systems；Privacy-preserving computing

累计引用: 7,407次
h-index: 45
2024–2026 论文: 101篇
在组成员: 29人

研究方向

2010–2017 聚焦数据中心地址、光交换、负载均衡与 flow/coflow；2018–2025 延续网络控制、NIC/FPGA 与 ML 通信；GREEN 将集群调度目标扩展到碳效率。

从硬件/网络瓶颈到端到端系统实现

Tassel 有 FPGA 原型，FuseLink 集成 NCCL，GREEN 在 TACC 上验证；招募明确要求独立立项、开发、写论文。

代表论文与近期发表

2024Fast, Scalable, and Accurate Rate Limiter for RDMA NICsSIGCOMM

研究问题: RNIC rate limiter 同时要求精度、flow 数和包速率。
核心方法: Tassel 分层拆分 flow 与 packet 限速，用 batching/filtering 提速。
实验结果: FPGA 达 125 Mpps、16K flows，限速范围 100 Kbps–100 Gbps。
实验条件与边界: 硬件结果属于所测 FPGA 与 RNIC 架构。
课题组研究线: 延续可扩展 NIC 数据路径研究。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Enabling Efficient GPU Communication over Multiple NICs with FuseLinkOSDI

研究问题: 静态 GPU–NIC 绑定导致不均衡 ML 流量下热点 NIC。
核心方法: 利用高速机内连接，GPU 转发至空闲 NIC，集成 NCCL。
实验结果: 最高 212 GBps GPU 间带宽；所测 MoE throughput 最高 1.3 倍。
实验条件与边界: 收益依赖机内/机间拓扑及流量不均衡。
课题组研究线: 以数据中心网络能力支撑 ML workload。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025GREEN: Carbon-efficient Resource Scheduling for Machine Learning ClustersNSDI

研究问题: 只优化 JCT 的调度忽略碳排与电力变化。
核心方法: 联合 schedule、scale、time shifting；保持每日处理能力。
实验结果: TACC 实验碳排最高降 41.2%、峰值功率降 12%，时间效率代价 3.6%–5.9%。
实验条件与边界: 收益依赖碳强度时间曲线与可推迟任务。
课题组研究线: 把既有调度主线加入新的资源目标。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 101 篇）

2026 年36 篇

2025 年33 篇

2024 年32 篇

实验室与成员

iSING Lab；WeChat-HKUST Joint Lab（WHAT Lab）

博士生: 24
硕士生: 3
博士后: 2

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Data center networking；Machine learning systems；Privacy-preserving computing

在组成员29

成员	教育背景	研究方向与经历
Jinbin HuPostDoc · 2022 简历	—	PostDoc, Fall 2022
Bowen LiuPostDoc · 2024 Google Scholar · GitHub GitHub 关注 6 Stars 0	2019 Northeastern University BEng 2024 Nanjing University PhD, Computer Science and Technology	host network architecture、datacenter networking、distributed systems、edge computing PostDoc, Fall 2024；博士导师 Wanchun Dou；Axio open-source project
Hao XuPhD · 2020CSE	—	PhD student, Fall 2020
Liming ZhangPhD · 2022CSE	—	PhD student, Fall 2022
Xinyang HuangPhD · 2023CSE GitHub GitHub 关注 34 Stars 39	2021 UESTC BEng, Network Engineering 2023 HKUST MPhil, Computer Science	host network architecture、RDMA NICs/SmartNICs、OS、datacenter networking PhD student, Fall 2023；参与 Axio；与 Junxue Zhang、Bowen Liu 合作
Decang SunPhD · 2023CSE	—	PhD student, Fall 2023
Yijun SunPhD · 2023CSE	—	PhD student, Fall 2023
Xinyu YangPhD · 2023CSE	—	PhD student, Fall 2023
Yuxuan LiPhD · 2024CSE	—	PhD student, Fall 2024
Qijing LiPhD · 2024CSE	—	PhD student, Fall 2024
Pengbo LiPhD · 2024CSE	—	PhD student, Fall 2024
Xiangzhou LiuPhD · 2024CSE	—	PhD student, Fall 2024
Yunxuan ZhangPhD · 2024CSE	—	PhD student, Fall 2024
Zhaoxiang BaoPhD · 2025CSE	—	PhD student, Fall 2025
Yu LiuPhD · 2025CSE	—	PhD student, Fall 2025
Linkai SongPhD · 2025CSE	—	PhD student, Fall 2025
Zihao WangPhD · 2025CSE	—	PhD student, Fall 2025
Songrun XiePhD · 2025CSE	—	PhD student, Fall 2025
Feiyuan ZhangPhD · 2025CSE	2025 HKUST MPhil	PhD student, Fall 2025
Zhaoshuo LiuPhDCSE	—
Zixun SuPhDCSE	—
Tao FanPhDCSE	—
Shuoling LiuPhDCSE	—
Hangyu LinPhDCSE	—
Xingxing TangPhDCSE	—
Sheng WanPhDCSE	—
Zhuo ChenMPhilCSE	—
Daoping ZhangMPhilCSE	—
Xianfei WangMPhilCSE	—

校友与去向63

成员	教育背景	研究方向与经历
Wenxue Li校友 · PhD #20 · 2025CSE 简历 · Google Scholar · LinkedIn · GitHub GitHub 关注 30 Stars 2	2025 HKUST PhD	PhD #20, 2025
Zhenghang Ren校友 · PhD #19 · 2025CSE	2025 HKUST PhD	PhD #19, 2025
Liu Yang校友 · PhD #18 · 2025CSE	2025 HKUST PhD	PhD #18, co-supervise with Prof. Qiang Yang, 2025
Xudong Liao校友 · PhD #17 · 2025CSE 简历 · GitHub GitHub 关注 46 Stars 26	2025 HKUST PhD	PhD #17, 2025
Kaiqiang Xu校友 · PhD #16 · 2025CSE	2025 HKUST PhD	PhD #16, 2025
Yilun Jin校友 · PhD #15 · 2025CSE 简历 · LinkedIn · Google Scholar · GitHub GitHub 关注 38 Stars 129	2025 HKUST PhD	PhD #15, co-supervise with Prof. Qiang Yang, 2025
Hao Wang校友 · PhD #14 · 2025CSE DBLP · ORCID DBLP 近三年 60	2025 HKUST PhD Shanghai Jiaotong Univ.	PhD #14, 2025；Intern student Intern student, from Shanghai Jiaotong Univ.
Zilong Wang校友 · PhD #13 · 2025CSE GitHub GitHub 关注 31 Stars 5	2025 HKUST PhD	PhD #13, 2025
Xinchen Wan校友 · PhD #12 · 2025CSE 简历 · Google Scholar · GitHub · LinkedIn GitHub 关注 38 Stars 0	2025 HKUST PhD	PhD #12, 2025
Di Chai校友 · PhD #11 · 2025CSE GitHub GitHub 关注 46 Stars 188	2025 HKUST PhD	PhD #11, co-supervise with Prof. Qiang Yang, 2025
Weiyan Wang校友 · PhD #10 · 2023CSE 简历 · Google Scholar · LinkedIn · GitHub GitHub 关注 3 Stars 0	2023 HKUST PhD	Researcher at Tencent PhD #10, 2023, Researcher at Tencent
Chaoliang Zeng校友 · PhD #9 · 2023CSE GitHub GitHub 关注 38 Stars 2	2023 HKUST PhD	Chip Architect at BitIntelligence PhD #9, 2023, Chip Architect at BitIntelligence
Han Tian校友 · PhD #8 · 2023CSE Google Scholar · GitHub GitHub 关注 23 Stars 11	2023 HKUST PhD	Assistant Professor, USTC PhD #8, 2023, Assistant Professor, USTC
Yiding Wang校友 · PhD #7 · 2023CSE 简历 · Google Scholar · LinkedIn	2023 HKUST PhD	Researcher at Huawei PhD #7, 2023, Researcher at Huawei
Junxue Zhang校友 · PhD #6 · 2022 DBLP · ORCID DBLP 近三年 34	—	Professor, USTC PhD #6, 2022, Professor, USTC
Gaoxiong Zeng校友 · PhD #5 · 2021	—	Researcher at Huawei, Gifted Young Award PhD #5, 2021, Researcher at Huawei, Gifted Young Award
Shuihai Hu校友 · PhD #4 · 2019 简历 · GitHub GitHub 关注 23 Stars 4	—	Researcher at Huawei PhD #4, 2019, Researcher at Huawei
Hong Zhang校友 · PhD #3 · 2019 Google Scholar · GitHub · LinkedIn · X · DBLP · ORCID DBLP 近三年 6 GitHub 关注 32 Stars 84	—	Assistant Professor, University of Waterloo PhD #3, 2019, Assistant Professor, University of Waterloo
Li Chen校友 · PhD #2 · 2018 GitHub · Google Scholar · LinkedIn · X · ORCID · DBLP DBLP 近三年 91 GitHub 关注 164 Stars 84	—	Researcher at Zhongguancun Lab PhD #2, 2018, Researcher at Zhongguancun Lab
Wei Bai校友 · PhD #1 · 2017 简历 · GitHub · LinkedIn · Google Scholar GitHub 关注 215 Stars 75	—	Principal Architect at NVIDIA PhD #1, 2017, Principal Architect at NVIDIA
Tingting Xu校友 · PostDoc 2026 · 2026 简历 · Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 2 GitHub 关注 1 Stars 0	—	Assistant Professor, Shenzhen University PostDoc 2026, Assistant Professor, Shenzhen University
Xiaojin Zhang校友 · PostDoc 2023 · 2023 简历 · GitHub GitHub 关注 1 Stars 0	—	Assistant Professor, Huazhong University of Science and Technology PostDoc 2023, Assistant Professor, Huazhong University of Science and Technology
Hao Liu校友 · PostDoc 2021 · 2021 Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 110 GitHub 关注 54 Stars 2	—	Assistant Professor, HKUST-Guangzhou PostDoc 2021, Assistant Professor, HKUST-Guangzhou
Wenxin Li校友 · PostDoc 2019 · 2019	—	Professor, Tianjin University PostDoc 2019, Professor, Tianjin University
Yuchao Zhang校友 · PostDoc 2018 · 2018	—	Professor, Beijing University of Posts and Telecommunications PostDoc 2018, Professor, Beijing University of Posts and Telecommunications
Hengky Susanto校友 · PostDoc · 2016	—	Principle Researcher Scientist at Huawei PostDoc, 2016, Principle Researcher Scientist at Huawei
Yuxuan Qin校友 · MPhil 2024 · 2024CSE	2024 HKUST MPhil	MPhil 2024
Mingxuan Fan校友 · MPhil 2024 · 2024CSE	2023 HKUST MPhil	MPhil 2024
Xiaodian Cheng校友 · MPhil 2023 · 2023CSE	2023 HKUST MPhil	MPhil 2023
Shuowei Cai校友 · MPhil 2023 · 2023CSE	2023 HKUST MPhil	MPhil 2023
Ding Tang校友 · MPhil 2022 · 2022	—	MPhil 2022
Yiqing Ma校友 · MPhil 2021 · 2021	—	MPhil 2021
Cengguang Zhang校友 · MPhil 2021 · 2021	—	MPhil 2021
Zhuoyi Peng校友 · MPhil 2021 · 2021	—	MPhil 2021
Duowen Liu校友 · MPhil 2021 · 2021	—	MPhil 2021
Zhaorong Liu校友 · MPhil 2021 · 2021	—	MPhil 2021
Jingrong Chen校友 · MPhil 2020 · 2020	—	MPhil 2020
Ge Chen校友 · MPhil 2020 · 2020	—	MPhil 2020
Zhaoxiong Yang校友 · MPhil 2020 · 2020	—	MPhil 2020
Jiacheng Xia校友 · MPhil 2019 · 2019	—	MPhil 2019
Qinghe Jing校友 · MPhil 2019 · 2019	—	MPhil 2019
Bairen Yi校友 · MPhil 2019 · 2019	—	MPhil 2019
Justinas Lingys校友 · MPhil 2018 · 2018	—	MPhil 2018
Baochen Qiao校友 · MPhil 2018 · 2018	—	MPhil 2018
Yang Peng校友 · MPhil 2014 · 2014	—	MPhil 2014
Ye Tao校友 · MPhil 2014 · 2014	—	MPhil 2014
Ziyang Li校友 · Intern student	National Univ. of Defense Technology	Intern student, from National Univ. of Defense Technology
Jinzhen Bao校友 · Intern student	National Univ. of Defense Technology	Intern student, from National Univ. of Defense Technology
Zhuotao Liu校友 · Intern student GitHub GitHub 关注 3 Stars 0	Univ. of Illinois Urbana-Champaign	Intern student, from Univ. of Illinois Urbana-Champaign
Weiyu Zhang校友 · Intern student	Shanghai Jiaotong Univ.	Intern student, from Shanghai Jiaotong Univ.
Yangming Zhao校友 · Intern student	Univ. of Electronic Science and Technology of China	Intern student, from Univ. of Electronic Science and Technology of China
Weicheng Sun校友 · Intern student	Shanghai Jiaotong Univ.	Intern student, from Shanghai Jiaotong Univ.
Zhouwang Fu校友 · Intern student	Shanghai Jiaotong Univ.	Intern student, from Shanghai Jiaotong Univ.
Hao Jin校友 · Intern student	Nanjing Univ.	Intern student, from Nanjing Univ.
Libin Liu校友 · Intern student	Shandong Univ.	Intern student, from Shandong Univ.
Kun Guo校友 · Visiting scholar	Fuzhou University	Visiting scholar, from Fuzhou University
Xuangou Wu校友 · Visiting scholar	Anhui Univ. of Technology	Visiting scholar, from Anhui Univ. of Technology
Deke Guo校友 · Visiting scholar	National Univ. of Defense Technology	Visiting scholar, from National Univ. of Defense Technology
Hangxing Wu校友 · Visiting scholar	Univ. of Science and Technology Beijing	Visiting scholar, from Univ. of Science and Technology Beijing
Dezun Dong校友 · Visiting scholar	National Univ. of Defense Technology	Visiting scholar, from National Univ. of Defense Technology
Dashan Gao校友 · PhD · 2025CSE	—
Sizai Hou校友 · PhD · 2025Individualized Interdisciplinary Program (Internet of Things)	—	；Individualized Interdisciplinary Program
Xu Geng校友 · PhD · 2024CSE	—

教育与履历

教育背景

2004
USTC
BSc, Computer Science
2007
USTC
MSc, Computer Science
2012
Northwestern University
PhD, Computer Science

任职经历

2012-07
HKUST
加入 CSE 教师队伍
HKUST CSE
Professor; Director, iSING Lab and WeChat–HKUST WHAT Lab

学术服务

数据中心网络与 ML 系统的持续系统研究者。

业界合作与实习

合作机构: 3家
合作记录: 3条
成员产业经历: 0条

学校项目记录列有企业资助的研究项目。

MetaX Integrated Circuits (Shanghai) Co, Ltd. 资助研究项目
参与项目 HKUST-MetaX Joint Laboratory for Advanced AI Computing（2024 -）
China Unicom (Hong Kong) Operations Limited 资助研究项目
参与项目 HKUST-China Unicom Joint Laboratory on Smart Society（2023 - 2026）
WeChat / Tencent 联合实验室
Kai Chen 任 WeChat–HKUST Joint Lab for Artificial Intelligence Technology（WHAT Lab）主任。

学术影响与网络关注

计算标准

院系样本分位

累计引用63P63

h-index67P67

2024–2026 论文86P86

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 351 篇 · i10-index 135 · 截至 2026-10-17

Siu-Wing CHENG

鄭紹榮

Professor

个人主页 · 学校档案 · 档案

实验室: Theoretical Computer Science Group
博士毕业于: University of Minnesota · 1992
研究主线: Algorithms；Geometry processing；Data structures；Theoretical computer science

累计引用: 3,022次
h-index: 30
2024–2026 论文: 9篇
在组成员: 4人

研究方向

早期 mesh generation、manifold reconstruction、geometric shortest path、point location；后续 self-improving algorithms 与 fair allocation；2023–2025 形成 Fréchet curve simplification、search、distance 的连续成果。

计算几何结构与复杂度界驱动

同一距离空间下连续改进 VC dimension、强次二次近似与 streaming 保证。

代表论文与近期发表

2024Solving Fréchet Distance Problems by Algebraic Geometric MethodsSODA

研究问题: 曲线 Fréchet metric 的范围空间复杂度与精确查询问题。
核心方法: 引入代数几何工具分析曲线 metric balls。
实验结果: VC dimension 上界改进为 O(dk log(km))，并得到 simplification、range/NN search、distance oracle 精确解。
实验条件与边界: 适用给定曲线顶点数与维度模型；高维参数影响成本。
课题组研究线: 将几何结构用于多类曲线算法。
核阅章节: Abstract、Introduction（开头）

2025Constant Approximation of Fréchet Distance in Strongly Subquadratic TimeSTOC

研究问题: 强次二次时间内获得常数 Fréchet 近似。
核心方法: 随机化几何算法，并扩展到 discrete Fréchet。
实验结果: 固定维度下 7+ε 近似，时间 O(n m^0.99 log(n/ε))，成功概率至少 1−1/n^6。
实验条件与边界: 该结论属于近似算法，精确算法复杂度另有边界；近似因子和固定维度是重要前提。
课题组研究线: 延续距离计算复杂度改进。
核阅章节: Abstract、Introduction（开头）

2025Simplification of Trajectory StreamsSoCG；2026 期刊扩展

研究问题: 流式轨迹压缩需要小空间、快速更新与质量保证。
核心方法: 针对 δ-simplification 和 k-simplification 设计 streaming algorithms。
实验结果: 输出点数至多 2opt−2 或 2k−2，同时给 1+ε Fréchet 保证。
实验条件与边界: 输出顶点允许不属于输入；复杂度对维度和 1/ε 依赖较大。
课题组研究线: 从离线曲线问题推进到在线传感数据。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 9 篇）

2026 年2 篇

2025 年3 篇

2024 年4 篇

实验室与成员

Theoretical Computer Science Group

博士生: 4

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Algorithms；Geometry processing；Data structures；Theoretical computer science

在组成员4

成员	教育背景	研究方向与经历
Guanyu JiangPhDCSE	—
Ziyu ZhouPhDCSE	—
Xinru GuoPhDCSE	—
Zhitao HePhDCSE	—

校友与去向2

成员	教育背景	研究方向与经历
Man Ting Wong校友 · PhD · 2026CSE	—
Haoqiang Huang校友 · PhD · 2025CSE Google Scholar · GitHub GitHub 关注 0 Stars 0	USTC Bachelor, Computer Science and Technology 2025 HKUST PhD	computational geometry、trajectory/time-series algorithms Staff Engineer, Huawei Beijing

成员

教育背景

研究方向与经历

Man Ting Wong校友 · PhD · 2026CSE

—

Haoqiang Huang校友 · PhD · 2025CSE

Google Scholar · GitHub

GitHub 关注: 0
Stars: 0

USTC

Bachelor, Computer Science and Technology

2025 HKUST

PhD

computational geometry、trajectory/time-series algorithms

Staff Engineer, Huawei Beijing

教育与履历

教育背景

1992
University of Minnesota
PhD, Computer Science

任职经历

2007-09–2011-08
HKUST CSE
Associate Head
2013-08–2014-12
HKUST CSE
Acting Head
2016-01–2019-12
HKUST School of Engineering
Associate Dean, Undergraduate Studies
HKUST CSE
Professor

学术服务

计算几何与几何算法资深研究者。

学术影响与网络关注

计算标准

院系样本分位

累计引用40P40

h-index47P47

2024–2026 论文27P27

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 283 篇 · i10-index 63 · 截至 2026-10-17

Albert Chi-Shing CHUNG

鍾志成

Professor

个人主页 · 学校档案 · 档案

实验室: HKUST Research Center for Medical Imaging and Analysis
研究主线: 医学配准；医学分割与泛化；显微图像与恢复

累计引用: 5,397次
h-index: 37
2024–2026 论文: 10篇
在组成员: 5人

研究方向

医学配准
形变、群组模板、脑肿瘤缺失对应与物理约束。
医学分割与泛化
血管、脑和器官分割，domain adaptation，低比特模型。
显微图像与恢复
荧光图像去噪、超分辨率和自监督方法。

长期方向持续集中在医学图像分割和配准。2024 EfficientQ 解决部署与量化，2025 InstantGroup 降低群组模板成本，2026 UPIR 处理术前术后缺失解剖对应。近期采用 VAE 和物理正则服务于具体医学成像瓶颈，问题主线稳定。

医学成像问题与算法约束长期积累

论文持续关注解剖对应、模板偏差、3D 模型成本与可靠形变，方法选择随问题变化。

代表论文与近期发表

2024EfficientQ: An Efficient and Accurate Post-Training Neural Network Quantization Method for Medical Image SegmentationMedical Image Analysis 97, 103277

研究问题: 医学 3D 模型量化需要较少标注数据和较短优化时间。
核心方法: 逐层 ADMM 量化，加入权重正则和位置自适应注意以处理病灶类别失衡。
实验结果: LiTS、BraTS2020 实验报告准确率与优化速度优势；单 GPU、一个校准样本下，3D U-Net 量化少于 5 分钟。
实验条件与边界: 结论针对 CNN 医学分割与特定精度设置。
课题组研究线: 延续医学分割并处理实际模型部署成本。
核阅章节: Abstract（完整）、Introduction（公开摘要页返回的研究设计段）、Conclusion（公开页返回首段）

2025InstantGroup: Instant Template Generation for Scalable Group of Brain MRI RegistrationIEEE Transactions on Image Processing；所读 arXiv v3

研究问题: 群组 MRI 配准的模板生成成本高，已有学习方法常固定 group size。
核心方法: 共享权重 Dual VAE 对输入潜变量取均值，DIM 约束模板无偏性，STAM 对齐 subject 和 template。 Discussion 比较平均融合与 attention 融合，后者参数从 1.3M 增至 2.1M，DSC 74.33 与 74.23，支持采用更简单平均融合。
实验结果: 作者在 OASIS、ADNI 报告数秒生成多种组大小模板，并改善无偏性与配准精度。
实验条件与边界: 证据集中在单模态脑 MRI；可作为传统迭代配准的初始模板生成器，后续细化与诊断用途应分别评估。
课题组研究线: 把长期群组配准研究推进为更可扩展的模板表示。
核阅章节: Abstract（完整）、I Introduction（完整）、VI Discussion（完整）、VII Conclusion（完整）

2026Uncertainty-Guided Physics-Informed Image Registration for Brain Tumor MRI with Missing CorrespondencesIEEE ISBI 2026

研究问题: 肿瘤术前与复发影像存在缺失对应，二值屏蔽难处理边界不确定性与非物理形变。
核心方法: UPIR 学习 residual-based voxel uncertainty，并用平衡、本构与能量约束的应力场正则分区约束形变。
实验结果: BraTS-Reg 上近肿瘤平均配准误差相对 DIRAC 减少 3.7%、相对 NR-IAM 减少 9.4%，保持低 folding ratio。
实验条件与边界: 评估限于 BraTS-Reg。
课题组研究线: 延续该组缺失对应和形变可靠性的专门研究。
核阅章节: Abstract（完整摘要）

2026Continuous Diffusion Model for Self-supervised Denoising and Super-Resolution on Fluorescence Microscopy ImagesSpringer 论文集章节；内容依据出版页完整摘要

研究问题: 荧光显微成像难取得高质量监督真值，固定放大倍数限制联合去噪与超分辨率模型的使用。
核心方法: 提出自监督 Continuous Diffusion Model，在连续空间迭代恢复无噪声图像，支持任意分辨率输出。
实验结果: 摘要报告相较所选监督和自监督方法，RMSE 与 SSIM 平均改善分别为 30.5%、7.4%，定性结果保留更多细节与结构。
课题组研究线: 补足显微成像恢复方向，显示团队在配准与分割之外也研究低监督的连续图像表示。
核阅章节: Abstract（完整摘要）

2024–2026 论文目录（共 10 篇）

2026 年3 篇

2025 年3 篇

2024 年4 篇

实验室与成员

HKUST Research Center for Medical Imaging and Analysis

博士生: 3
硕士生: 2

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

医学配准；医学分割与泛化；显微图像与恢复

在组成员5

成员	教育背景	研究方向与经历
YU, JiemingPhD, CSE	—
CHAN, Yin Lai LyndonPhD, CSE	—
KWAN, Leong Chit JeffPhD, CSE	—
TING, Chin KanMPhil, CSE	—
CHONG, Shing YukMPhil, CSE	—

校友与去向33

成员	教育背景	研究方向与经历
Ziyi He校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
Wen Ji校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
TSANG, Siu Chung校友 · PhD, CSE · 2023	2023 HKUST PhD, CSE	The Chinese University of Hong Kong
Rui Gan校友 · PhD · 2006	2006 HKUST PhD	Lecturer, Peking University（2009 年加入）
Wilbur Chun Kit Wong校友 · PhD · 2006	2003 HKUST MPhil 2006 HKUST PhD	Thomson Reuters（2009 年加入）在组内担任博士后：2006-09–2006-10；2007-12–2009-08
Jue (John) Wu校友 · PhD · 2008	2008 HKUST PhD	Postdoctoral Fellow, PICSL, University of Pennsylvania（2009 年加入）在组内担任博士后：2008-09–2009-02
Wai Kong (Max) Law校友 · PhD · 2010	2006 HKUST MPhil 2010 HKUST PhD	Siemens Corporate Research, Princeton · Intern2009-03–2009-08 Postdoctoral Fellow, GE Healthcare / University of Western Ontario（2010 年加入）
Shu (Billy) Liao校友 · PhD · 2010	2007 HKUST MPhil 2010 HKUST PhD	Postdoctoral Fellow, UNC Chapel Hill（2010 年加入）
Yi Shan (Lisa) Luo校友 · PhD · 2012	2012 HKUST PhD	Medical Physicist, Hong Kong Sanatorium & Hospital（2012 年加入）
Ning (Joanna) Zhu校友 · PhD · 2014	2014 HKUST PhD	Postdoctoral Scholar, Stanford School of Medicine（2014 年加入）
Ronald Wai King So校友 · PhD · 2017	2009 HKUST MPhil 2017 HKUST PhD	Resident Physicist, Princess Margaret Hospital
Siqi (Portia) Bao校友 · PhD · 2017	2017 HKUST PhD	R&D Engineer, Baidu, Shenzhen
Pei (Wynonna) Wang校友 · PhD · 2020	2020 HKUST PhD	Data Scientist, Natixis, Hong Kong
Yongxiang (Jason) Huang校友 · PhD · 2021	2021 HKUST PhD	R&D Engineer, Tencent, Shenzhen
Yishuo Zhang校友 · PhD · 2022	2022 HKUST PhD	Huawei
Rongzhao Zhang校友 · PhD · 2022	2022 HKUST PhD	Shanghai AI Laboratory
Jierong Wang校友 · PhD · 2022	2022 HKUST PhD	Hong Kong Sanatorium & Hospital
Tony Chi Wing Mok校友 · PhD · 2022	2022 HKUST PhD	Alibaba
Ho Ming Chan校友 · MPhil · 2003	2003 HKUST MPhil
Xing Zhang校友 · MPhil · 2003	2003 HKUST MPhil	共同导师 Gary Chan
Jian Ye校友 · MPhil · 2005	2005 HKUST MPhil	Mathematics；共同导师 Yang Xiang
Ming Yuen Chan校友 · MPhil · 2006	2006 HKUST MPhil	共同导师 Huamin Qu
Wai Ho (Tommy) Tang校友 · MPhil · 2007	2007 HKUST MPhil
Yuan (Vincent) Yuan校友 · MPhil · 2008	2008 HKUST MPhil
Kai Ho (William) Wu校友 · MPhil · 2014	2014 HKUST MPhil
Qing (Chloe) Zhang校友 · MPhil · 2017	2017 HKUST MPhil	ECE
Han Zhang校友 · MPhil · 2022	2022 HKUST MPhil
Kam Keung (KK) Lau校友 · Postdoctoral Researcher · 2005-12–2006-06	—
Zhenyu (Terry) He校友 · Postdoctoral Researcher · 2007-01–2009-02	—	Associate Professor, Huazhong University of Science and Technology
Yee Man (Shirley) Wong校友 · MSc project student · 2002	2002 HKUST MSc
Wai Ip Choi校友 · MSc project student · 2004	2004 HKUST MSc
Cherrie Ng校友 · MSc project student · 2004	2004 HKUST MSc
Wenchao Cai校友 · Research group member · 2005-09–2006-12	—

教育与履历

教育背景

1995
University of Hong Kong
BEng, Computer Engineering
1998
HKUST
MPhil, Computer Science
2001
University of Oxford
DPhil, Engineering Science

任职经历

2001–2002
MIT AI Laboratory
Visiting Scientist
2014–2021
HKUST
Professor
2020–2021
HKUST
Associate Dean of Engineering (Undergraduate Studies)
2022–2023
University of Exeter
Chair in Artificial Intelligence
2023–
HKUST
Professor
2023–
HKUST Research Center for Medical Imaging and Analysis
Director

学术服务

资深医学影像教授，强项有明确的领域挑战与学术服务证据。

业界合作与实习

合作机构: 0家
合作记录: 0条
成员产业经历: 1条

成员实习与产业经历

2009-03–2009-08
Wai Kong (Max) Law · Siemens Corporate Research, Princeton
HKUST 博士阶段实习；2010 年博士毕业；Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用53P53

h-index58P58

2024–2026 论文28P28

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 237 篇 · i10-index 93 · 截至 2026-10-17

Cunsheng DING

丁存生

Professor

个人主页 · 学校档案 · 档案

博士毕业于: University of Turku · 1997
出生与年龄: 1962 年生 · 63–64 岁
研究主线: Coding theory；Combinatorics；Cryptography

累计引用: 12,333次
h-index: 63
2024–2026 论文: 26篇
在组成员: —人

研究方向

长期研究 stream ciphers、序列复杂度、difference sets 与编码；2024–2026 持续推进 cyclic/negacyclic、self-dual、BCH、MDS extension 和 support designs。

代数构造与参数界的长期基础研究

样本从新 code families、minimum-distance 下界到 MDS 等价刻画，沿同一数学基础累积。

代表论文与近期发表

2024Self-Dual Negacyclic Codes With Variable Lengths and Square-Root-Like Lower Bounds on the Minimum DistancesIEEE Transactions on Information Theory

研究问题: 构造具有较大 minimum distance 的 self-dual negacyclic codes。
核心方法: 针对 odd prime power q 构造多个变长度 code families。
实验结果: 在给定长度族中距离下界至少 √n，小 q 短长度与已知优良参数可比较。
实验条件与边界: 存在性与距离保证限定具体有限域和长度族；不覆盖任意 n。
课题组研究线: 持续 self-dual/negacyclic 编码构造。
核阅章节: Abstract、Introduction（开头）

2025When Does the Extended Code of an MDS Code Remain MDS?IEEE Transactions on Information Theory

研究问题: MDS code 经第二类 extension 后何时仍为 MDS。
核心方法: 将问题等价于 dual code 的 covering radius 与 deep hole。
实验结果: 给 iff 条件，dual covering radius 为 k 且 extension vector 为其 deep hole；用于 GRS 等族。
实验条件与边界: 属于数学刻画，实际求 deep holes 的难度仍依具体码族。
课题组研究线: 把编码 extension 与覆盖半径理论联系。
核阅章节: Abstract、Introduction（开头）、§VIII Summary and Concluding Remarks

2026Repeated-Root Cyclic Codes with Optimal Parameters or Best Parameters KnownIEEE Transactions on Information Theory；公共稿 2024

研究问题: repeated-root cyclic codes 的优良无限族研究不足。
核心方法: 构造距离 3/4、6/8/10 等多个无限族及二进制族。
实验结果: 稿件给 27 个长度至 254、q∈{2,4,8} 的 optimal 或 best-known 参数码。
实验条件与边界: best-known 是稿件时点的比较；2026 出版版与 2024 作者稿可能有修订。
课题组研究线: 延续代码族构造和可证明参数优化。
核阅章节: Abstract、Introduction（开头）

2024–2026 论文目录（共 26 篇）

2026 年7 篇

2025 年4 篇

2024 年15 篇

实验室与成员

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Coding theory；Combinatorics；Cryptography

校友与去向2

成员	教育背景	研究方向与经历
Ning Lu校友 · PhD · 2026CSE	—
Tingfang Chen校友 · PhD · 2025CSE	—

教育与履历

教育背景

1988
Xidian University
Master, Applied Mathematics
导师 Guozhen Xiao
1992–1994
University of Karlsruhe
Computer Science study
导师 Thomas Beth
1997
University of Turku
PhD
导师 Arto Salomaa

任职经历

1988–1992
Xidian University
Lecturer, Mathematics
1997–2000
National University of Singapore
Assistant Professor
2000–
HKUST CSE
Faculty
2008–
HKUST CSE
Professor

学术服务

代数编码、序列与组合构造的资深研究者。

2022 年专刊传记明确记载出生日期为 1962-01-16；截至 2026-10-17 为 64 岁。

学术影响与网络关注

计算标准

院系样本分位

累计引用78P78

h-index82P82

2024–2026 论文48P48

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 312 篇 · i10-index 183 · 截至 2026-10-17

Andrew B. HORNER

康立德

Professor

个人主页 · 学校档案 · 档案

实验室: Andrew Horner 研究组
博士毕业于: University of Illinois Urbana-Champaign · 1993
研究主线: 计算音乐与声音合成；音乐情绪与感知；AI 混音与 mashup

累计引用: 1,483次
h-index: 18
2024–2026 论文: 3篇
在组成员: 3人

研究方向

计算音乐与声音合成
音乐合成、音色、音频工程和声音设计。
音乐情绪与感知
音高、力度、演奏技法和乐器的情绪特性；聆听与体验研究。
AI 混音与 mashup
自动选材、重排、和声表征、diffusion 混音与感知评价。

早期声音合成与音色情绪研究持续到 2024 的乐器情绪实验；2024—2026 开始以 diffusion、GNN 和 latent decoupling 改进混音及 mashup，同时保留主观聆听评价。连续目标是音乐结构和人类听觉体验，算法随创作任务发展。

计算音乐系统与感知实验结合

自动混音使用信号指标，mashup 使用聆听测试；需同时具备音频处理、音乐结构和实验设计兴趣。

代表论文与近期发表

2024Diffusion Models for Automatic Music MixingIEEE BigData 2024

研究问题: 自动修正音轨频率与电平不均衡，使混音更清晰协调。
核心方法: 随机修改已混好 stems 的 STFT 模拟失衡，把失衡混音与原混音差视为 noise，用 diffusion 逆过程恢复。
实验结果: 作者报告 signal-to-distortion ratio 相对自动混音基线提高，并提供音频样本。
实验条件与边界: 摘要主要结果是信号指标；对音乐风格和人类偏好的泛化需要聆听研究。
课题组研究线: 把信号处理与生成去噪模型用于音乐制作。
核阅章节: Abstract（完整摘要）

2025Chord Latent Decoupling for Music MashupsIEEE BigData 2025

研究问题: 按调性或和弦标签匹配难以支持可控跨曲重组。
核心方法: 音色不变训练与对抗目标分离 harmony latent 和旋律、节奏、音色等其他信息，再联合解码。
实验结果: 作者报告 latent 和声距离与感知兼容性相关，和声转移能产生连贯且可解释 mashup。
实验条件与边界: 摘要明确指出监督粒度、信息泄漏和 decoder fidelity 限制；相关性与主观质量需要保留实验范围。
课题组研究线: 将音乐结构从规则匹配推进到可编辑潜变量。
核阅章节: Abstract（完整摘要）

2026Melodical Mashup of Classical Pieces: How to Maximize Audience Enjoyment?160th AES Convention，2026-05-28

研究问题: 把古典旋律片段重组后，什么变化与听众喜爱相关。
核心方法: 对西方古典旋律 mashup 做聆听测试，考察音高、速度和熟悉度。
实验结果: 公开摘要说明初步发现与进一步收集问卷的计划；未给可复核效应方向和数字。
实验条件与边界: 结果成熟度与统计结论保持未确认。
课题组研究线: 保留以音乐体验为评价中心的研究方式。
核阅章节: Abstract（完整摘要）

2025Learning to rank music mashupsProceedings of Meetings on Acoustics 56, 035004；ASA/ICA 2025，2025-10-23 发表

研究问题: 自动 mashup 的传统相容性规则与听众偏好关联有限，需要能选择曲目片段并预测组合排序的系统。
核心方法: 使用 HT Demucs 分离声部，检测鼓的主节奏并进行强拍对齐；4 种声部交换策略从 10 首歌曲产生 360 个 mashup。以 108 名听众的选择构造成对排序数据，结合 OpenL3 嵌入、策略编码和逻辑回归预测同一基础曲目的组合偏好。
实验结果: 作者报告测试成对准确率 0.72，四种策略平均 Spearman 排序相关为 0.710；传统 mashability 基线为 0.095。
实验条件与边界: 样本只有 10 首曲目，听众为 18 至 30 岁大学生。节奏方案要求鼓声，和声对齐使用已知调性元数据。实验测量同一基础歌曲下的组合排序，跨曲库和无鼓音乐的泛化仍需验证。
课题组研究线: 用听觉实验为自动创作系统建立可学习的偏好目标，连接了其长期音乐感知研究与近期生成、混音研究。
核阅章节: Abstract（完整摘要）、1 Introduction（完整）、2 Related Works（完整）、3 Framework（完整）、4 Listening Test（完整）、5 Learning to Rank Music Mashups（完整）、6 Conclusion（完整）

2024The emotional characteristics of the violin with different pitches, dynamics, and vibratoProceedings of Meetings on Acoustics 55, 035004；2024 卷，2025-03-14 公开发表

研究问题: 音高、力度和颤音如何改变单个小提琴音的效价、唤醒度和情绪标签。
核心方法: 25 名参与者评价 16 个单音，使用 9 点效价与唤醒量表，并判断 16 类情绪词是否适用。
实验结果: 摘要报告音高影响最大，高音提高唤醒；颤音其次，更强颤音降低效价并提高唤醒；更强力度提高效价且降低唤醒。情绪类别与四象限间关系存在复杂性。
实验条件与边界: 相邻 JASA 会议摘要使用 24 人、32 个音，属于另一个文本版本；本条数字严格采用 POMA 正式文章。
课题组研究线: 延续其音乐音色与情绪感知主线，为生成模型所需的可控情绪目标提供实验依据。
核阅章节: Abstract（完整摘要）

2024–2026 论文目录（共 3 篇）

2025 年1 篇

2025 · IEEE Big DataChord Latent Decoupling for Music Mashups

2024 年2 篇

实验室与成员

Andrew Horner 研究组

博士生: 2
硕士生: 1

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

计算音乐与声音合成；音乐情绪与感知；AI 混音与 mashup

在组成员3

成员	教育背景	研究方向与经历
CHAU, Yu Foon DarinPhD, CSE	2026 HKUST MPhil, CSE
DINH, Anh DungPhD, CSE	—
WEXLER, David SolomonMPhil, IIP	—	共同指导

校友与去向7

成员	教育背景	研究方向与经历
WU, Xinyang校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE
LAW, Man Hei校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
SONG, Wenyi校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
LEUNG, Hoi Ting校友 · MPhil, CSE · 2023	2023 HKUST MPhil, CSE
Bin Wu校友 · PhD · 2015	2015 HKUST PhD	Director of Lyra Lab, Tencent Music Entertainment Group 共同导师 Andrew Horner、Qiang Yang
Simon Siu-Hang Lui校友 · PhD · 2011	2011 HKUST PhD	Chief Expert (Audio), Huawei Hong Kong Research Center
Jinyuan Jia校友 · PhD · 2004	2004 HKUST PhD	Professor, Tongji University

教育与履历

教育背景

1993
University of Illinois Urbana-Champaign
PhD, Computer Science

任职经历

HKUST
Professor

学术服务

计算音乐资深教授，研究和教学均长期围绕声音与人的感受。

学术影响与网络关注

计算标准

院系样本分位

累计引用28P28

h-index28P28

2024–2026 论文16P16

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 243 篇 · i10-index 32 · 截至 2026-10-17

James Tin-Yau KWOK

郭天佑

Professor

个人主页 · 学校档案 · 档案

实验室: James Kwok 研究组
博士毕业于: HKUST · 1996
研究主线: 机器学习与优化；生成和基础模型；时间序列与应用

累计引用: 22,077次
h-index: 64
2024–2026 论文: 109篇
在组成员: 25人

研究方向

机器学习与优化
核方法、低秩学习、多任务与多目标优化、meta-learning。
生成和基础模型
Diffusion、LLM 推理、模型合并、剪枝、模型路由与多模态安全。
时间序列与应用
时间序列预测和生成，视觉、语音、分子与药物应用。

早年核方法、非凸优化、低秩矩阵和模型压缩形成算法基础。2024—2026 继续推进 Pareto、多任务、模型合并及时间序列 diffusion，LLM 与 agent 论文是更广方法版图的一部分。可核对的连续性在于结构化表示、优化与资源效率。

通用学习方法与应用协同

相邻年度的 Pareto manifold 和 Pareto merging 复用多目标思想；时间序列工作保留独立的方法和应用主线。

代表论文与近期发表

2024Efficient Pareto Manifold Learning with Low-Rank StructureICML 2024，Spotlight（教师页）

研究问题: 多任务的连续 Pareto 前沿近似在任务多时参数成本高。
核心方法: 主网络加低秩矩阵表示不同偏好模型，辅以正交正则和共享特征。
实验结果: 作者报告相较 baselines 更好的表现，任务数较多时优势明显。
实验条件与边界: 最优性与经验前沿需要分别理解。
课题组研究线: 延续低秩结构与多目标优化。
核阅章节: Abstract（完整摘要）

2025Pareto Merging: Multi-Objective Optimization for Preference-Aware Model MergingICML 2025

研究问题: 单一合并模型难满足不同任务偏好。
核心方法: 把各基座任务效果作为多目标，通过参数高效结构一次学习偏好条件化的 Pareto 模型集。偏好无关基座加偏好相关的低秩 tensor 个性化模型，以单次优化生成不同任务折中。
实验结果: 作者报告生成多种折中模型，并在测试准确率上优于所比较合并方法。
实验条件与边界: 所读 arXiv 结论将扩展到 large language models 列为 future work；不能把本文实验结论直接当作 LLM 合并已验证结果。
课题组研究线: 将 2024 的多目标表示推进到预训练模型合并。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Conclusion（完整）

2026Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series GenerationICLR 2026

研究问题: 潜空间生成难保留局部时间细节，数据空间生成难刻画高层多模态分布。
核心方法: L2D-Diff 先建模压缩潜表示分布，再引导数据空间 diffusion 细化。
实验结果: 作者报告单模态和多模态时间序列数据集上的改进，消融支持双空间必要性。
实验条件与边界: 保留隐私是应用动机，不能据此认定差分隐私保证。
课题组研究线: 延续时间序列建模并把层次表示用于生成。
核阅章节: Abstract（完整摘要）

2024MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsICLR 2024；初版预印本为 2023

研究问题: 开源语言模型在数学多步推理上的表现受到训练题目多样性限制。
核心方法: 从 GSM8K、MATH 训练题构造正向改写、反向未知量问题和答案推理路径；以答案正确性进行筛选，形成 MetaMathQA，再微调 LLaMA-2。
实验结果: 所读 v4 HTML 与 ICLR 正式摘要中，7B 在 GSM8K 为 66.5%、MATH 为 19.8%；70B 在 GSM8K 为 82.3%。arXiv 摘要页保留 66.4%、19.4% 的旧数字，本条采用正文与正式版口径。
实验条件与边界: 结论聚焦给定基础模型和两类数学 benchmark。数据多样性与样本筛选有效性的实验，尚不能单独推出任意开放问题推理能力；训练数据沿既有题库扩展，跨领域泛化需要另测。
课题组研究线: 补充基础模型的数据构造方向。与多目标优化形成方法上的互补，一个控制训练数据，一个控制模型参数的任务权衡。
核阅章节: Abstract（v4 HTML 完整；ICLR 正式摘要交叉核对）、1 Introduction（完整）、5 Concluding Remarks（完整）

2024–2026 论文目录（共 109 篇）

2026 年46 篇

2025 年34 篇

2024 年29 篇

实验室与成员

James Kwok 研究组

博士生: 18
硕士生: 7

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

机器学习与优化；生成和基础模型；时间序列与应用

在组成员25

成员	教育背景	研究方向与经历
Philipp BlankenhagenPhD, CSE	—
Shuhao ChenPhD, CSE	—	co-supervised with Yu Zhang
Yunhao GouPhD, CSE · 2022– 简历 · GitHub · Google Scholar GitHub 关注 2 Stars 108	UESTC 本科，Software Engineering 2022– HKUST PhD, CSE	MLLM／LLM 后训练、MoE、多模态表示 ByteDance AI Lab · Research Intern2022-01–2023-03 Alibaba Tongyi Qwen-VL · Research Intern2026-01– co-supervised with Yu Zhang
Ruping HuangPhD, CSE	—	co-supervised with Yu Zhang
Yibo YanPhD student	—	co-supervised with Xuming Hu
Zaifei YangPhD, CSE	—
Yuyan ZhouPhD, CSE	—
Ziyu ZhouPhD, CSE	2026 HKUST MPhil	共同指导
Xilin CaoMPhil, CSE	—
Kai Syun HouMPhil, CSE	—
Weiqing XuMPhil, CSE	—
CHAN, Pui HeiPhD, IIP	—
DENG, ChingPhD, IIP	—
ZHU, YichenPhD, CSE	—
ZHU, YimingPhD, IIP (AI)	—	共同指导
ANCHALPhD, IIP	—	共同指导
DELIKOURA, IrisPhD, IIP	—
PANG, Ching ChristiePhD, IIP	—	共同指导
WU, ZePhD, IIP	—	共同指导
CHEUNG, Chi SanPhD, IIP	—	共同指导
TSUI, Yuk HangPhD, IIP	—
HARNE, Aastha MukundMPhil, IIP	—
LEE, Pak NinMPhil, CSE	—
CHAI, Wen JyeMPhil, IIP	—
POON, Chung HooMPhil, CSE	—

校友与去向26

成员	教育背景	研究方向与经历
Zhili Liu校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE
Yanbin Wei校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE	co-supervised with Yu Zhang
Weiyu Chen校友 · PhD, CSE · 2026 Google Scholar · GitHub GitHub 关注 0 Stars 0	2026 HKUST PhD 2026 HKUST PhD, CSE	扩散语言模型、高效 LLM、多目标学习 Research Assistant Professor, Hong Kong Institute of AI for Science, CityUHK
Hansi Yang校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
Lifeng Shen校友 · PhD, IIP (AI) · 2024	2024 HKUST PhD, IIP (AI)	副教授，重庆邮电大学人工智能学院；2024 年加入共同指导
Weisen Jiang校友 · PhD, CSE · 2024 Google Scholar · OpenReview	2012 South China University of Technology BEng, Automation 2015 University of Chinese Academy of Sciences MSc, Operations Research 2024 HKUST PhD, Computer Science 2024 HKUST PhD, CSE	大模型、深度学习、AI for Science Meituan · Engineer2015–2017 Tencent · Research Scientist2017–2019 Professor, South China University of Technology（2026–） co-supervised with Yu Zhang
Han Shi校友 · PhD student · 2022 Google Scholar · GitHub · X GitHub 关注 11 Stars 13	Tsinghua University Bachelor, Electronic Engineering 2022 HKUST PhD	生成模型、神经架构设计、AutoML Principal Researcher, Huawei Noah’s Ark Lab (Hong Kong)
Shuai Zheng校友 · PhD student · 2019	2015 HKUST MPhil
Lu Hou校友 · PhD student · 2019	—
Yaqing Wang校友 · PhD student · 2019 Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 32 GitHub 关注 1 Stars 1	—	co-supervised with Lionel Ni
Quanming Yao校友 · PhD student · 2018	—
Wei Bi校友 · PhD student · 2015	—
Leon Wenliang Zhong校友 · PhD student · 2014	—
Kai Zhang校友 · PhD student · 2008	—
Ivor Tsang校友 · PhD student · 2007 DBLP DBLP 近三年 217	2003 HKUST MPhil
Nai Chit Fung校友 · MPhil, CSE · 2024	2024 HKUST MPhil, CSE
Jincheng Yu校友 · MPhil, CSE · 2024	2024 HKUST MPhil, CSE
Runsheng Yu校友 · MPhil, CSE · 2024	2024 HKUST MPhil, CSE
Lawrence Chan校友 · MPhil student · 2021	—
Minsam Kim校友 · MPhil student · 2020	—
Zachary William Wellmer校友 · MPhil student · 2019	—
Diwen Xu校友 · MPhil student · 2018	—
Xiawei Guo校友 · MPhil student · 2017	—
Yihai Huang校友 · MPhil student · 2015	—
Pak-Ming Cheung校友 · MPhil student · 2006	—
Calvin Chu校友 · MPhil student · 2005	—

教育与履历

教育背景

University of Hong Kong
BSc, Electrical and Electronic Engineering
1996
HKUST
PhD, Computer Science
导师 Dit-Yan Yeung

任职经历

HKUST
Professor
Hong Kong Baptist University
Assistant Professor

学术服务

资深机器学习教授，组织服务和方法积累均有明确证据。

1996 年获得 The Hong Kong University of Science and Technology 的 PhD in Computer Science。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 4条

HSBC Global Services (Hong Kong) Limited

HSBC Global Services (Hong Kong) Limited 资助研究项目
与 Innovation and Technology Fund 联合资助实时多模态数字人与知识图谱检索增强系统；负责人；2026–

成员实习与产业经历

2015–2017
Weisen Jiang · Meituan
Engineer
2017–2019
Weisen Jiang · Tencent
Research Scientist
2022-01–2023-03
Yunhao Gou · ByteDance AI Lab
Research Intern；2022 年起在 HKUST 读博；ByteDance 经历跨越入学时间，Qwen-VL 经历处于博士阶段；Research Intern
2026-01–
Yunhao Gou · Alibaba Tongyi Qwen-VL
Research Intern；2022 年起在 HKUST 读博；ByteDance 经历跨越入学时间，Qwen-VL 经历处于博士阶段；Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用89P89

h-index83P83

2024–2026 论文87P87

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 488 篇 · i10-index 182 · 截至 2026-10-17

Mo LI

李默

Professor

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: Wireless And Networked Distributed Sensing（WANDS）
博士毕业于: HKUST · 2010
研究主线: Wireless and Mobile Computing；Smart City and Urban Data Analytics；Low Altitude Systems and Communications；Internet of Things (IoT) and AIoT

累计引用: 11,949次
h-index: 58
2024–2026 论文: 32篇
在组成员: 26人

研究方向

长期研究物理世界的 sensing/networking/data analytics；Wi-Fi/RFID、LoRa、城市数据处理与 wearable learning 连续发展；2024 Penetrative AI 把 LLM 世界知识用于同一传感问题。

无线系统与真实感知任务积累，兼做新方法探索

SateRIoT 有商品硬件部署，ContrastSense 处理 wearable domain shift，Penetrative AI 明示 preliminary exploration。

代表论文与近期发表

2024Penetrative AI: Making LLMs Comprehend the Physical WorldHotMobile；公共扩展稿

研究问题: LLM 能否直接解释 IoT 传感信号与物理任务。
核心方法: 区分 textualized 与 digitized signals，探索活动感知与 ECG 心率例子。
实验结果: 报告初步可行性，显示 LLM 世界知识可参与传感推理。
实验条件与边界: 属于早期探索，模型、提示与任务覆盖有限；无通用物理理解证明。
课题组研究线: 沿长期 IoT 感知目标引入 LLM。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024SateRIoT: High-performance Ground-Space Networking for Rural IoTMobiCom

研究问题: 农村 IoT 卫星上行窗口短、空间链路不一致。
核心方法: bursty-link prediction 加多跳 flooding 与优先队列共享链路。
实验结果: COTS satellite/LoRa 部署报告单 gateway 能耗约低 3.3 倍、延迟最高降 5.6 倍。
实验条件与边界: 实地 4 gateways 与 trace-driven 规模实验；不同星座链路需复核。
课题组研究线: 延续 LoRa/LPWA 的无线协议与实测传统。
核阅章节: Abstract、Introduction（检索原文段）、Conclusion（检索原文段）

2024ContrastSense: Domain-invariant Contrastive Learning for In-the-wild Wearable SensingIMWUT；UbiComp 2025 展示

研究问题: 标签稀缺与用户/设备 domain shift 同时存在。
核心方法: domain/time labels 约束对比 loss 和 negative selection，fine-tuning 加参数惩罚。
实验结果: 跨用户 HAR 与 EMG gesture 的平均 F1 分别提升 8.9% 和 5.6%。
实验条件与边界: 训练使用来源域数据和 domain labels。
课题组研究线: 持续处理移动感知落地的域泛化。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 32 篇）

2026 年10 篇

2025 年12 篇

2024 年10 篇

实验室与成员

Wireless And Networked Distributed Sensing（WANDS）

博士生: 12
硕士生: 7
博士后: 3
RA、访问与其他: 4

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Wireless and Mobile Computing；Smart City and Urban Data Analytics；Low Altitude Systems and Communications；Internet of Things (IoT) and AIoT

在组成员26

成员	教育背景	研究方向与经历
Songfan LIResearch Assistant Professor · 2025	University of Electronic Science and Technology of China Ph.D. Hong Kong University of Science and Technology, China Postdoc
Wenjun LYUResearch Assistant Professor · 2026	Rutgers University Ph.D.
Yanbo ZHANGPostdoc · 2023	Harbin Institute of Technology, China B.E. Nanyang Technological University, Singapore Ph.D.
Rong DINGPostdoc · 2026	Shanghai Jiao Tong University Ph.D.
Yiyao WANPostdoc · 2026	Nanjing University of Aeronautics and Astronautics Ph.D.
Jingcan CHENPhD · 2023CSE	Fudan University, China B.S.
Qirui YANGPhD · 2023CSE	Tsinghua University, China B.E.
Zhuoran CHENPhD · 2024CSE	Nanyang Technological University, Singapore B.E.
Mengxuan SONGPhD · 2024CSE	Zhejiang University, China B.E.
Zhaoteng YEPhD · 2024CSE	University of Electronic Science and Technology of China, China B.E.
Boya LIUPhD · 2025CSE	Zhejiang University, China B.E. Zhejiang University, China M.E.
Zhenyu RENPhD · 2025CSE	Southern University of Science and Technology, China B.E. Southern University of Science and Technology, China M.E.
Ningbo LIPhD · 2026CSE	Southwest Jiaotong University B.E. Tsinghua University M.S.
Zihe LIUPhD · 2026CSE	Hong Kong University of Science and Technology B.Eng.
Qing LUOPhD · 2026CSE	University of Science and Technology of China, China B.E. Shanghai Jiao Tong University, China M.E.
Ko Chi SIUResearch Assistant · 2026	Hong Kong University of Science and Technology B.Eng.
Haoyu DENGPhD · 2025CSE	University of Electronic Science and Technology of China B.E.
Tsz Ho FANMPhil · 2025CSE	The Hong Kong University of Science and Technology B.Sc.
Chun Ming WUMPhil · 2025CSE	The Hong Kong University of Science and Technology B.Sc.
Zilin ZENGMPhil · 2025CSE	The Hong Kong University of Science and Technology, China B.E.
Jiahong LIUMPhil · 2026CSE	Southern University of Science and Technology B.E.
Zijian WANGMPhil · 2026CSE	University of Electronic Science and Technology of China B.E.
Hei Chung YAUMPhil Student · 2026	The Hong Kong University of Science and Technology, China B.Sc.
Jiayuan ZHANGMPhil · 2026CSE	University of Electronic Science and Technology of China B.Eng.
Xinyue LIVisiting Student · 2026	Peking University Ph.D.
Andreas KUSTERPhD Student · 2022–2000	Swiss Federal Institute of Technology, Switzerland B.Sc. Swiss Federal Institute of Technology, Switzerland M.Sc.

校友与去向30

成员	教育背景	研究方向与经历
Agustinus Wellson TENGOURTIUS校友 · Research Assistant · 2016–2019	—	Professional Officer @ SIT@NYP
Amalinda GAMAGE校友 · Postdoc · 2023–2024	—	Research Fellow @ National University of Singapore
Chu CAO校友 · Postdoc · 2024	—	Associate Professor @ South China University of Technology
Edward Ong Yong SENG校友 · Research Associate · 2021–2023	—	IoT Application Engineer @ Rolls Royce
Gaole DAI校友 · PhD Student · 2022–2026	—	Algorithm Engineer @ Tencent
Han HAO校友 · Visiting PhD · 2022–2023	—	PhD Student @ Xi'An Jiaotong University
Huanle ZHANG校友 · Research Assistant · 2014–2016	—	Associate Professor @ Shandong University
Huatao XU校友 · PhD Student · 2020–2024–2026	—	Senior Reseacher @ ByteDance
Hyungjun YOON校友 · Visiting PhD · 2022	—	PhD Student @ KAIST
Jansen Christian LIANDO校友 · Research Assistant · 2014–2019–2023	—	Managing Director @ BITS
Jiajue OU校友 · PhD Student · 2016	—	Scientist @ Mercurics Pte. Ltd
Jinlong E校友 · Postdoc · 2018–2019	—	Lecturer @ Renming University of China
Kaiqi LIU校友 · PhD Student · 2024	—	Data engineer @ Bytedance
Mingqian LI校友 · PhD Student · 2023	—	Postdoc @ Zhijiang Lab
Panrong TONG校友 · PhD Student · 2020–2021	—	Senior Algorithm Engineer @ DAMO Academy, City Brain Lab
Pengfei ZHOU校友 · PhD Student · 2016–2019–2021	—	Assistant Professor @ University of Pittsburgh
Qirui LIU校友 · Visiting PhD · 2022–2023	—	Postdoc @ Peking University
Shengyu LI校友 · Postdoc · 2025–2026	—	Information Security Manager @ Anker Innovation
Shiqi JIANG校友 · PhD Student · 2018	—	Senior Researcher @ Microsoft Research
Shuyu SHI校友 · Postdoc · 2016–2018	—	Research Associate Professor @ Nanjing University
Sijie JI校友 · PhD Student · 2023	—	Schmidt Science Fellow @ California Institute of Technology
Wan DU校友 · Postdoc · 2012–2017	—	Associate Professor @ UC Merced
Weiping SUN校友 · Postdoc · 2018–2020	—	Staff Engineer @ Samsung Research
Xiaoyun MO校友 · PhD Student · 2022	—	Senior Machine Learning Engineer @ OPPO Research Institute
Ya NAN校友 · PhD Student · 2024	—	Quantitative Researcher & Developer @ Abu Dhabi Investment Authority
Yaxiong XIE校友 · PhD Student · 2017–2018	—	Assistant Professor @ University at Buffalo
Yuanqing ZHENG校友 · PhD Student · 2014	—	Associate Professor @ Hong Kong Polytechnic University
Yuxiao HOU校友 · PhD Student · 2017	—	Postdoc @ Delft University
Zhenjiang LI校友 · Visiting PhD · 2010–2012–2015	—	Associate Professor @ City University of Hong Kong
Zhidan LIU校友 · Postdoc · 2015–2017	—	Associate Professor @ Shenzhen University

教育与履历

教育背景

Tsinghua University
BSc, Computer Science and Technology
2010
HKUST
PhD

任职经历

2020 年 ACM 访谈时
Nanyang Technological University
Associate Professor
2023–
HKUST CSE
Professor

学术服务

无线感知、IoT 与移动系统资深研究者。

2020 年 ACM 访谈介绍 Atheros CSI tool、LoRa 测量与 AIoT 研究路线。

指导方式与组内生活

开放工具与研究方向

ACM 访谈说明通过开源 Atheros CSI tool 支持研究者获取商用 WiFi 的 channel state information；关注感知与计算资源异构的 AIoT 系统。

学术影响与网络关注

计算标准

院系样本分位

累计引用77P77

h-index77P77

2024–2026 论文56P56

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 290 篇 · i10-index 155 · 截至 2026-10-17

Fangzhen LIN

林方真

Professor

个人主页 · 学校档案 · 档案

实验室: Fangzhen Lin 研究组
博士毕业于: Stanford University · 1991
研究主线: 知识表示与逻辑；程序语义与验证；多智能体与现代推理系统

累计引用: 4,091次
h-index: 27
2024–2026 论文: 33篇
在组成员: 3人

研究方向

知识表示与逻辑
非单调推理、answer set programming、因果规则、动作与规划。
程序语义与验证
一阶逻辑、循环不变量和递推分析。
多智能体与现代推理系统
博弈、社会选择、路线规划、语言模型知识获取与视觉 agent。

ASSAT、动作理论和形式化规划是长期贡献；2024 CAV 继续解决可验证循环表达式，2025 Pixel Reasoner 把操作与探索引入视觉推理，2026 ProAct 用显式任务图约束主动行为。当前大模型研究保留可操作知识、状态和规划结构，与早期逻辑路线有实质连接。

形式推理与可执行 agent 桥接

公开成果同时保留证明型程序分析和基于任务结构的学习系统；具体课题可落在非常不同的方法传统。

代表论文与近期发表

2024On Polynomial Expressions with C-Finite Recurrences in Loops with Nested Nondeterministic BranchesCAV 2024

研究问题: 嵌套非确定分支与非线性更新使单变量递推难以求闭式解。
核心方法: 搜索满足 c-finite recurrence 的有界次数多项式表达式，分析其有限向量空间并计算基；特殊条件下可降为线性方程。
实验结果: 作者给出 sound、semi-complete 方法，并把一种特殊情形接入 SMT verifier，验证更多非线性程序。
实验条件与边界: 半完备性、次数和递推阶数约束需要保留。
课题组研究线: 直接延续程序逻辑与可验证推理主线。
核阅章节: Abstract（完整）、Introduction（正文主要例子与贡献）、Conclusion（搜索返回完整段）

2025Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement LearningNeurIPS 2025（官方出版记录）

研究问题: 纯文本 CoT 难充分检查高信息密度图像和视频。
核心方法: 先以合成轨迹训练 zoom-in、select-frame 等操作，再用 curiosity-driven RL 平衡像素操作与文本推理。
实验结果: 所读 v3 的 7B 模型报告 V* 84%、TallyQA-Complex 74%、InfographicsVQA 84%。
实验条件与边界: 结果依赖视觉工具及特定 benchmark。
课题组研究线: 将规划中的动作选择思想用于视觉证据主动获取。
核阅章节: Abstract（完整摘要）

2026ProAct: A Benchmark and Multimodal Framework for Structure-Aware Proactive ResponseICML 2026（官方出版记录）

研究问题: 主动 agent 需要决定何时、如何行动，现有资源难覆盖任务依赖和并行机会。
核心方法: ProAct-75 包含 75 任务、91,581 step annotations 与显式任务图；ProAct-Helper 用状态检测和熵驱动启发式搜索选择动作。 Introduction 说明数据含 5,383 视频及 495 自采 clips，任务图编码 AND/OR 依赖和并行线程。
实验结果: 摘要报告触发检测 mF1 改善 6.21%、one-step 决策多节省 0.25 步、并行动作率增加 15.58%。
实验条件与边界: 评测以任务图作为已知输入，规划器采用轻量 graph-constrained heuristic。
课题组研究线: 保留显式结构与规划，学习模型承担感知和状态识别。
核阅章节: Abstract（完整）、1 Introduction（完整）、7 Conclusion（完整）

2024–2026 论文目录（共 33 篇）

2026 年13 篇

2025 年18 篇

2024 年2 篇

实验室与成员

Fangzhen Lin 研究组

博士生: 3

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

知识表示与逻辑；程序语义与验证；多智能体与现代推理系统

在组成员3

成员	教育背景	研究方向与经历
WANG, HaozhePhD, CSE	—
WU, YangfanPhD, CSE	—
ZHU, XiaomengPhD, CSE	—

校友与去向13

成员	教育背景	研究方向与经历
FANG, Biqing校友 · PhD, IIP (AI) · 2026	2026 HKUST PhD, IIP (AI)
ZHU, Fengming校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE
CHEN, Junming校友 · PhD, IIP (AI) · 2025	2025 HKUST PhD, IIP (AI)	共同指导
PAN, Yuxin校友 · PhD, IIP (AI) · 2025	2025 HKUST PhD, IIP (AI)
SINGH, Hitarth校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
SONG, Jaewoo校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
SHOU, Ziyi校友 · PhD, CSE · 2024	2024 HKUST PhD, CSE
WANG, Chenglin校友 · PhD, CSE · 2024	2024 HKUST PhD, CSE
LI, Meizi校友 · MPhil, CSE · 2026	2026 HKUST MPhil, CSE
WANG, Qijun校友 · MPhil, IIP (AI) · 2023	2023 HKUST MPhil, IIP (AI)	共同指导
Haodi Zhang校友 · PhD · 2016	2016 HKUST PhD	Associate Professor, Shenzhen University
Ning Ding校友 · PhD · 2014	2014 HKUST PhD	Associate Director, UBS
Pingzhong Tang校友 · PhD · 2010	2010 HKUST PhD	Founder, Turing Sense

教育与履历

教育背景

1983
Fuzhou University
BS, Computer Science
1986
Peking University
MS, Computer Science
1991
Stanford University
PhD, Computer Science

任职经历

1991–1992
Stanford University
Research Scientist
1992–1996
University of Toronto
Research Scientist
HKUST
Professor

学术服务

知识表示与逻辑 AI 的资深教师，有持续至现代 agent 的形式推理研究。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

Meituan Academy of Robotics Shenzhen

Meituan Academy of Robotics Shenzhen 资助研究项目
仓库机器人群的路径规划与任务分配；负责人；2024–2025

学术影响与网络关注

计算标准

院系样本分位

累计引用46P46

h-index41P41

2024–2026 论文57P57

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 242 篇 · i10-index 60 · 截至 2026-10-17

Qiong LUO

羅瓊

Professor

个人主页 · 学校档案 · 档案

实验室: Rapids Group；Accord、GALLOP、Star Flow
博士毕业于: University of Wisconsin-Madison · 2002
研究主线: Big data management；Database systems；Parallel and distributed systems；Graph data management and analytics；Modern-hardware data management；Data processing for e-science

累计引用: 7,515次
h-index: 37
2024–2026 论文: 23篇
在组成员: 6人

研究方向

Big data management
Database systems
Parallel and distributed systems
Graph data management and analytics
Modern-hardware data management
Accord 项目与 GPU acceleration for data analytics。
Data processing for e-science
GALLOP 面向 genomics；Star Flow 面向 astronomical data。

GPUQP、Mars 到 Accord/GALLOP/Star Flow，主线是数据密集计算映射到现代硬件；2024 TenGraph 复用 tensor runtime，2025 蛋白结构算法、2026 BitDP 延续科学与 ML 工作负载。

长周期硬件感知数据系统与科学协作

项目跨多年持续存在；TenGraph 复用 tensor infrastructure，BitDP 联合数值与通信，蛋白 alignment 给数学 solver。

代表论文与近期发表

2024TenGraph: A Tensor-Based Graph Query EnginePVLDB

研究问题: 图查询不规则且已有系统难全面利用 GPU。
核心方法: CUS 图表示与 tensor-based query operators，建立 PyTorch prototype。
实验结果: 同引擎 GPU 相对 CPU 约 50–100 倍，比较多个 CPU/GPU 系统。
实验条件与边界: 数据为 in-memory graph；跨硬件倍数与同硬件算法比较需分开。
课题组研究线: 延续异构 hardware-aware 图处理。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025epLSAP-Align: a non-sequential protein structural alignment solver with entropy-regularized partial linear sum assignment problem formulationBioinformatics

研究问题: 远缘蛋白的非顺序相似性难兼顾精度和效率。
核心方法: partial LSAP 的 entropy-relaxed surrogate，用 Sinkhorn 求解并集成 TM-align/MICAN。
实验结果: 7 个测试集总体提升结构 overlap；epLSAP-TM 同设置至少比 USalign2 快 22%。
实验条件与边界: 全局最优对应松弛 solver；仍可能需去除 outlier correspondence。
课题组研究线: 将数据算法与 e-science 问题结合。
核阅章节: Abstract（公开全文抽取）、§1 Introduction、§2.1–2.5、§3.1、§4 Conclusion

2026BitDP: Ultra-low-bit Communication for Data Parallelism in LLM TrainingAAAI

研究问题: data parallel 的梯度通信在低带宽下限制训练。
核心方法: 选择性 1/2-bit linear-weight 梯度量化、channel-adaptive scales 与兼容 collective 的通信。
实验结果: 通信量最高减少 32 倍，论文报告精度损失小于 1%；GPT-13B 64 GPU 吞吐实验。
实验条件与边界: 通信量比不等同端到端倍数；embedding/bias 等梯度保留全精度。
课题组研究线: 沿跨硬件资源效率推进 ML 训练。
核阅章节: Abstract（公开全文抽取）、Introduction、Method/gradient quantization、Conclusion

2024–2026 论文目录（共 23 篇）

2026 年5 篇

2025 年10 篇

2024 年8 篇

实验室与成员

Rapids Group；Accord、GALLOP、Star Flow

博士生: 5
硕士生: 1

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Big data management；Database systems；Parallel and distributed systems；Graph data management and analytics；Modern-hardware data management；Data processing for e-science

在组成员6

成员	教育背景	研究方向与经历
Chiyu HaoMPhil · 2026–CSE Google Scholar · ORCID · GitHub GitHub 关注 0 Stars 15	2025 Shanghai Jiao Tong University BEng, Computer Science and Technology	systems and machine learning MPhil, started in 2026；本科导师 Shixuan Sun；曾随 NUS Bingsheng He、CUHK Sibo Wang 研究
Kai ChengPhD · 2025–CSE	—	PhD, started in 2025
Ziting WangPhD · 2025–CSE	—	PhD, started in 2025
Le XuPhD · 2025–CSE GitHub 关注 13 Stars 2	—	PhD, started in 2025
Yicheng HuPhD · 2022–CSE GitHub 关注 3 Stars 2	—	PhD, started in 2022
Xiaozhe RenPhD · 2020–CSE	—	PhD, part-time, started in 2020

校友与去向40

成员	教育背景	研究方向与经历
Wenwei Xue校友 · PhD · 2007	—	Event Detection for Sensor Networks. Postdoc at National University of Singapore, Singapore.
Jing Zhao校友 · PhD · 2007	—	Full-Text Keyword Search in Meta-search and P2P Networks. United International College, Zhuhai, China. Co-advised by Dik Lee.
Hejun Wu校友 · PhD · 2008	—	Scheduling for In-Network Sensor Query Processing. Postdoc at Hong Kong Polytechnic University, Hong Kong, China SAR.
Bingsheng He校友 · PhD · 2008	—	Cache-Oblivious Query Processing. Microsoft Research Asia, Beijing, China.
Xiangye Xiao校友 · PhD · 2009	—	Efficient Co-Location Pattern Discovery. Google, USA. Co-advised by Wei-Ying Ma of Microsoft Research Asia.；MPhil 2005
Mian Lu校友 · PhD · 2012	—	Accelerating Genome Sequence Analysis. Agency for Science, Techonology and Research (A*STAR), Singapore.
Robin Jun Yang校友 · PhD · 2013	—	Efficient Transactional Database Support on Flash Solid State Drives. Agency for Science, Technology and Research (A*STAR), Singapore.
Hao Liu校友 · PhD · 2017	—	Cross-Column Redundancy: Concept, Detection and Application. Baidu Research, Beijing, China. Co-advised by Lionel M. Ni.
Xiaoying Jia校友 · PhD · 2017	—	Cross-matching Big Astronomic Catalogs On Heterogeneous Clusters. NVIDIA, Beijing, China.
Xibo Zhou校友 · PhD · 2018	—	Data Management and Analysis on Taxi Trajectories. BOE Technology Group, Beijing, China. Co-advised by Lionel M. Ni.
Fengchao Peng校友 · PhD · 2018	—	Supervised and Unsupervised Learning for Temporal Data Analysis. Huawei, Shanghai, China. Co-advised by Lionel M. Ni.
Yun Wang校友 · PhD · 2018	—	Generating And Authoring Narrative Visualization For Data Insight Communication. Microsoft Research Asia, Beijing, China. Co-advised by Huamin Qu.
Shuang Qiu校友 · PhD · 2019	—	Parallelizing De Novo Assembly with Heterogeneous Processors. DJI, Shenzhen, China.
Shixuan Sun校友 · PhD · 2020	—	Accelerating In-Memory Subgraph Matching on a Single Machine. Postdoc at National University of Singapore, Singapore.
Yulin Che校友 · PhD · 2020	—	Accelerating Graph Structural Clustering Algorithms on Heterogeneous Processors. Huawei, Shenzhen, China.
Zhuohang Lai校友 · PhD · 2020	—	Accelerating Data-parallel Primitives and Multi-way Joins on Heterogeneous Processors. Huawei, Shanghai, China.
Lipeng Wang校友 · PhD · 2020	—	Accelerating Distributed Deep Learning Tasks on Image Datasets. Tencent, Shenzhen, China.
Zonghao Feng校友 · PhD · 2022	—	Accelerating Sequence Alignment Algorithms On Heterogeneous Processors. Morgan Stanley, Hong Kong, China.
Chuhan Shi校友 · PhD · 2023CSE	2023 HKUST PhD	Human-AI Collaborative Approaches to Supporting Multi-stage, Stochastic Multi-criteria Decision Making. Southeastern University, Nanjing, China. Co-advised by Xiaojuan Ma.
Xibo Sun校友 · PhD · 2024CSE	2024 HKUST PhD	Accelerating Continuous Subgraph Matching on Heterogeneous Processors. Tencent, Beijing, China.
Siya Qiu校友 · PhD · 2025Individualized Interdisciplinary Program (Data Science and Analytics)	2025 HKUST PhD	Spatio-temporal Analysis of Maritime Movement: A Multi-Perspective Study on Vessel Trajectories. Huawei, Shenzhen, China. Primary advisor: Jing Tang.；共同指导；Individualized Interdisciplinary Program
Yiran Cheng校友 · PhD · 2025Individualized Interdisciplinary Program (Artificial Intelligence)	2025 HKUST PhD	Efficient HiFi Read De Novo Assembly. Huawei Lab, Hong Kong,China. Co-advised by Yangqiu Song.；Individualized Interdisciplinary Program
Ruoqi Wang校友 · PhD · 2026	—	Robust and Efficient Astronomical Data Reconstruction and Analysis. Institute of AI for Industries, Chinese Academy of Sciences, Nanjing, China. Co-advised by Hao Cheng.
Zhuoyang Chen校友 · PhD · 2026	—	Protein Function Prediction with Sequence, Structure, and Protein-Protein Interaction Information. Wuxi Biologics, Shanghai, China. Co-advised by Weichuan Yu.
Chun Yi Choi (Stephen)校友 · MPhil · 2004	—	Template-Based Runtime Invalidation of Database-Generated Web Contents. Morgan Stanley, Hong Kong, China SAR.
Tsz Wai Chiu校友 · MPhil · 2008	—	WinyDB: Collaboratively Querying Sensor Networks through Handheld Devices. Price Waterhouse Coopers, Hong Kong, China SAR.
Yinan Li校友 · MPhil · 2009	—	Tree Indexing on Flash Disks. PhD program at the University of Wisconsin-Madison, USA.
Wenbin Fang校友 · MPhil · 2010	—	Mars: Accelerating MapReduce with Graphics Processors. PhD program at the University of Wisconsin-Madison, USA.
Yuwei Tan校友 · MPhil · 2012	—	Accelerating Genomic Sequence Compression with Graphics Processors. PhD program at University of Southern California, USA.
Jiuxin Zhao校友 · MPhil · 2012	—	Accelerating Site Frequency Spectrum Estimation with Graphics Processors. GAO Advisors, Beijing, China.
Junkai Wu校友 · MPhil · 2013	—	Accelerating All-Pairs Shortest Path Search on GPUs. Intel Shanghai, China.
Yan Zhao校友 · MPhil · 2014	—	Accelerating Betweenness Centrality Computation on Heterogeneous Processors. National Center of Supercomputing, UIUC, USA.
Senhong Wang校友 · MPhil · 2014	—	Accelerating In-memory Cross Match of Astronomical Catalogs. Google, USA.
Baoxue Zhao校友 · MPhil · 2014	—	Accelerating Astronomical Source Extraction with Graphics Processors. Baidu, China.
Ge Bai校友 · MPhil · 2014	—	Accelerating Lossless Data Compression with Graphics Processors. Net Ease, China.
Yishui Wu校友 · MPhil · 2016	—	Accelerating Protein Structure Alignment With Multicore CPUs and Graphics Processors. WeBank, Shenzhen, China.
Honghao Liu校友 · MPhil · 2022	—	CuGRIDDER: Efficient Radio Interferometric Imaging On the GPU. DJI, Shenzhen, China. Co-advised by Yang Xiang.
Zihan Meng校友 · MPhil · 2022	—	SimBlockPlus: An Extended Blockchain Network Simulator for Scalability Studies. GoodNotes, London, UK. Co-advised by Yi Yang.
Yixin Liu校友 · MPhil · 2024CSE	2024 HKUST MPhil	Fine-Tuning Pretrained Language Models with Time Series and Textual Data for Stock Movement Prediction. Beijing Fourth Paradigm Technology, Beijing, China. Co-advised by Nan Tang.
Xin Zhang校友 · PhD · 2026Individualized Interdisciplinary Program (Data Science and Analytics)	—	共同指导；；Individualized Interdisciplinary Program

教育与履历

教育背景

1992
Peking University
BSc, Computer Science
1997
Peking University
MSc, Computer Science
2002
University of Wisconsin-Madison
PhD, Computer Science

任职经历

HKUST CSE
Professor

学术服务

长期 GPU 数据处理、数据库与科学计算交叉研究者。

指导方式与组内生活

指导规范

个人主页说明遵守 HKUST 与 HKUST(GZ) 的研究生指导准则，并要求学生履行研究学位责任。

学术影响与网络关注

计算标准

院系样本分位

累计引用64P64

h-index58P58

2024–2026 论文46P46

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 287 篇 · i10-index 97 · 截至 2026-10-17

GitHub · RapidsAtHKUST实验室组织账号

关注者: 56人
Stars: 837
公开仓库: 41

Dimitris PAPADIAS

白德善

Professor

个人主页 · 学校档案 · 档案

博士毕业于: National Technical University of Athens · 1994
研究主线: Data management；Algorithms；Graph data management and analytics；Location-based services；Big data

累计引用: 14,807次
h-index: 59
2024–2026 论文: 3篇
在组成员: 6人

研究方向

多年持续空间/时空索引、位置隐私与图数据；Waffle（2023 会议，原稿 PVLDB 2022）针对 query/update trade-off，TIDE（2025）针对历史区间索引。

持续空间时间数据结构路线

两项新近系统均从数据表示和工作负载假设推导结构与实验。

代表论文与近期发表

2025TIDE: Indexing Time Intervals by Duration and EndpointSSTD

研究问题: 大量历史时间区间需要低成本插入与 overlap 等关系查询。
核心方法: 统一 diagonal-corner 表示；顶层按 duration、底层按 endpoints 的 append-only B+-trees。
实验结果: 两套真实数据相对 SEB 插入最高 100 倍、查询最高 7000 倍。
实验条件与边界: 要求 intervals 按 endpoint 递增到达（IET）；倍数针对指定基线和查询。
课题组研究线: 延续空间时间索引的结构分析与工程实现。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 3 篇）

2026 年1 篇

2026 · CoRRDisk-Based Interval Indexes Under the Increasing Ending Time Assumption

2025 年1 篇

2025 · SSTDTIDE: Indexing Time Intervals by Duration and Endpoint

2024 年1 篇

2024 · CoRRFast and Adaptive Bulk Loading of Multidimensional Points

实验室与成员

博士生: 4
硕士生: 2

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Data management；Algorithms；Graph data management and analytics；Location-based services；Big data

在组成员6

成员	教育背景	研究方向与经历
Moin MotiPhDCSE	—
Kai WangPhDCSE	2023 HKUST MPhil
Ze WuPhDIIP	—	；Individualized Interdisciplinary Program
Dimitrios TsarasPhDCSE	—
Cheuk Yuen WongMPhilCSE	—
Teck Kwang TanMPhilCSE	—

校友与去向14

成员	教育背景	研究方向与经历
Nikos Mamoulis校友 · PhD DBLP · ORCID · OpenAlex DBLP 近三年 31 OpenAlex 近三年 33 引用 12,244 h-index 58	—	Honorary Professor, HKU；Professor, University of Ioannina
Panos Kalnis校友 · PhD	—	Professor, KAUST
Yufei Tao校友 · PhD	—	Professor, CUHK
Jun Zhang校友 · PhD	—	原任 NTU Assistant Professor；Tencent Cloud Chief Architect / Principal Engineer
Kyriakos Mouratidis校友 · PhD DBLP · ORCID · OpenAlex DBLP 近三年 9 OpenAlex 近三年 9 引用 3,534 h-index 26	—	Professor, Singapore Management University
Alexander Markowetz校友 · PhD	—	首次任职 University of Bonn Assistant Professor
Yin (David) Yang校友 · PhD DBLP · ORCID · OpenAlex DBLP 近三年 46 OpenAlex 近三年 53 引用 8,063 h-index 53	—	Associate Professor, Hamad Bin Khalifa University
Stavros Papadopoulos校友 · PhD	—	原 Intel/MIT Big Data Lab Senior Research Scientist；TileDB founder
George Kellaris校友 · PhD	—	原 Harvard CRCS postdoc；Lerna co-founder
Nikos Armenatzoglou校友 · PhD	—	Senior Engineering Manager, Databricks
Panos Parchas校友 · PhD	—	Software Development Manager, AWS Germany
Lefteris Ntaflos校友 · PhD	—	Head of Training, ITCS Group Hong Kong
Weizhen Ding校友 · MPhil · 2023CSE	—
Max Prior校友 · MPhil · 2023CSE	—

教育与履历

教育背景

1994
National Technical University of Athens
PhD, Electrical and Computer Engineering

任职经历

1997
HKUST
加入 CSE 教师队伍
1997 夏季
INRIA, Sophia Antipolis
Visiting Researcher
2007
National University of Singapore
Visiting Professor
HKUST CSE
Professor

学术服务

空间/时空数据库资深研究者，具有长期培养与领域服务记录。

指导方式与组内生活

个人主页链接的学生指导讲义强调学生主动推进、论文写作、顶级数据库会议和按时交付；导师保留投稿与研究决策的最终判断。

主动推进

讲义要求学生主动发起讨论、找导师交流、参与较高年级学生的研究，并持续写想法或论文摘要。

写作与表达

汇报顺序为问题、相关工作、方案核心、相对进展和细节；鼓励用清楚的符号与例子，反复修改稿件。

决策方式

主页所链接的指导讲义写明学生可发表意见，导师作最终决定；学生在首篇 SIGMOD 论文之前，意见权重较低。讲义未标注年份。

发表与节奏

讲义将 SIGMOD、VLDB、PODS 作为主要发表目标，突出第一作者论文和 deadline。

学术影响与网络关注

计算标准

院系样本分位

累计引用81P81

h-index79P79

2024–2026 论文16P16

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 307 篇 · i10-index 161 · 截至 2026-10-17

Long QUAN

權龍

Professor

个人主页 · 学校档案 · 档案

实验室: Computer Vision Group / VisGraph
博士毕业于: INPL, France · 1989
研究主线: 多视几何与三维重建；生成式空间表征

累计引用: 15,627次
h-index: 59
2024–2026 论文: 19篇
在组成员: 4人

研究方向

多视几何与三维重建
相机几何、结构恢复、SfM、image-based modeling。
生成式空间表征
RGB-D joint modeling、视频深度、3D generation 和空间推理。

从相机几何、匹配和重建到图像建模，长期核心对象是三维世界的可计算表示。2024 JointNet 学习图像和深度联合分布，2025 DepthCrafter 利用视频扩散估计长深度序列，2026 Map2Thought 再把 metric geometry 接入解释性推理。公开工作体现由确定性重建向概率生成和空间推理扩展。

几何问题长期积累、吸收生成式表征

三个年度的作品均保留深度、空间结构或显式几何操作，生成模型承担新的先验来源。

代表论文与近期发表

2024JointNet: Extending Text-to-Image Diffusion for Dense Distribution ModelingICLR 2024

研究问题: 图像生成模型需要同时建模深度等密集模态。
核心方法: 复制预训练 diffusion 网络形成新模态分支，与固定 RGB 分支密集连接，只训练扩展部分。
实验结果: 作者展示联合 RGBD、深度预测、深度条件图像和连续 tile panorama 生成。
实验条件与边界: 固定 RGB 先验有助保持原能力，新增模态数据与一致性仍限制迁移。
课题组研究线: 把几何数据纳入生成模型。
核阅章节: Abstract（完整）、Conclusion（搜索返回完整段）

2025DepthCrafter: Generating Consistent Long Depth Sequences for Open-world VideosCVPR 2025

研究问题: 开放视频的运动、相机、内容和长度差异使一致深度估计困难。
核心方法: 从 image-to-video diffusion 三阶段训练为 video-to-depth，单次支持最多 110 帧，再分段估计拼接长视频。
实验结果: 作者报告多个数据集 zero-shot 深度效果，并展示视觉特效和条件生成用途。
实验条件与边界: 单次长度与分段拼接需要区分。
课题组研究线: 延续深度与场景恢复，并利用视频生成先验。
核阅章节: Abstract（完整摘要）

2026Map2Thought: Explicit 3D Spatial Reasoning via Metric Cognitive MapsCVPR 2026

研究问题: 3D VLM 需要可解释、准确的空间推理过程。
核心方法: Metric-CogMap 同时编码离散关系网格与连续度量空间，Cog-CoT 用向量、包围盒距离和遮挡顺序等确定操作。 video-to-map 结合 2D 检测分割、3D foundation models 和 covisibility-based 几何校验，Cog-CoT 在地图上做确定计算。
实验结果: 摘要报告半量监督下 59.9% 准确率，接近全量 baseline 60.9%；VSI-Bench 的 10%、25%、50% 训练子集上分别报告 5.3%、4.8%、4.0% 优势。
实验条件与边界: Conclusion 明确整体效果受重建 Metric-CogMap 质量限制，改进地图构建是后续关键。
课题组研究线: 将几何表示用于可检查的空间推理。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Conclusion（完整）

2024–2026 论文目录（共 19 篇）

2026 年6 篇

2025 年6 篇

2024 年7 篇

实验室与成员

Computer Vision Group / VisGraph

博士生: 4

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

多视几何与三维重建；生成式空间表征

在组成员4

成员	教育背景	研究方向与经历
JIN, BuPhD, CSE	—
HAO, DehaoPhD, CSE	—
GAO, XiangjunPhD, CSE	—
ZHANG, KaiyiPhD, CSE	—

校友与去向10

成员	教育背景	研究方向与经历
CHEN, Hongkai校友 · PhD, CSE · 2023	2023 HKUST PhD, CSE
HUANG, Zhuofei校友 · MPhil, CSE · 2023	2023 HKUST MPhil, CSE	共同指导
Honghui Zhang校友 · PhD · 2012	2012 HKUST PhD	CTO, Muxin
Ping Tan校友 · PhD · 2007	2007 HKUST PhD	Professor, HKUST
Gang Zeng校友 · PhD · 2006	2006 HKUST PhD	Researcher, Peking University
Jingdong Wang校友 · VisGraph research alumnus	—
Yichen Wei校友 · VisGraph research alumnus	—
Jianxiong Xiao校友 · VisGraph research alumnus	—
Lu Yuan校友 · VisGraph research alumnus	—
Peng Zhao校友 · VisGraph research alumnus	—

教育与履历

教育背景

1989
INPL, France
PhD, Computer Science

任职经历

1990–2001
INRIA Grenoble
CNRS Senior Research Scientist；Computer Vision Group founding member
2001–
HKUST
Professor; Computer Vision Group founder

学术服务

三维视觉资深教授，贡献长期集中于未标定几何、结构恢复和图像建模。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

Altizure（co-founder）

Altizure 联合创办企业
与 HKUST 毕业生共同创办照片三维重建平台

学术影响与网络关注

计算标准

院系样本分位

累计引用82P82

h-index79P79

2024–2026 论文42P42

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 388 篇 · i10-index 164 · 截至 2026-10-17

Pedro SANDER

辛達德

Professor

个人主页 · 学校档案 · 档案

实验室: Pedro Sander 研究组
博士毕业于: Harvard University · 2003
研究主线: 实时渲染与图形硬件；神经场与高斯表征；图像视频创作

累计引用: 4,648次
h-index: 32
2024–2026 论文: 6篇
在组成员: 8人

研究方向

实时渲染与图形硬件
采样、缓存、geometry processing、GPU 渲染。
神经场与高斯表征
反射、动态场景、3DGS 大场景合成与可控时间。
图像视频创作
颜色迁移、漫画转译、图像变形与动态编辑。

早期工作研究 triangle order、reprojection cache 与渲染成本，随后进入图像视频编辑与神经场。2024 SpecNeRF 的近场反射、2025 GSWT 的大场景 tiling、2026 RetimeGS 的连续时间都延续图形表示与高效渲染问题。

图形表示、渲染机制和效率共同设计

代表作持续处理可视伪影与时空表示，重点是物理或结构建模及实时实现。

代表论文与近期发表

2024SpecNeRF: Gaussian Directional Encoding for Specular ReflectionsCVPR 2024，Highlight

研究问题: NeRF 在复杂室内近场照明下难建模光滑表面反射。
核心方法: Gaussian directional encoding 建模空间变化的近场光照并模拟预滤环境图，再加入 data-driven geometry prior。将 ray origin 与 direction 编为 5D ray space，以 learnable Gaussians 和初期 monocular normal supervision 缓解 shape-radiance ambiguity。
实验结果: 作者报告镜面反射重建和外观分解改善。
实验条件与边界: 作者明确几百个 Gaussians 的容量难恢复镜面高频反射，只能得到模糊近似；增加数量会让逐像素遍历成本过高。
课题组研究线: 把实时图形中的反射建模问题接入神经场。
核阅章节: Abstract（完整）、1 Introduction（完整）、6 Discussion and Conclusion（完整）

2025GSWT: Gaussian Splatting Wang TilesSIGGRAPH Asia 2025，Conference Papers

研究问题: 单个 3DGS 捕获场景难以扩为大尺度或无限地形。
核心方法: 带边界约束的 Wang Tiles 编码高斯局部场，语义 graph cut、多级 LOD、tile 预排序及运行时拼接支持连续合成。
实验结果: 作者报告大型 3DGS 地形的实时渲染和具有空间多样性的连续拼接。
实验条件与边界: 适用对象为可由 exemplar 平铺的场景，生成的语义多样性与真实地形真实性仍需区别。
课题组研究线: 延续 procedural graphics、结构表示和渲染效率。
核阅章节: Abstract（完整）、作者项目 Pipeline 说明

2026RetimeGS: Continuous-Time Reconstruction of 4D Gaussian SplattingCVPR 2026，Oral（教师 CV）

研究问题: 离散帧训练的 4DGS 在任意时间插值产生重影。
核心方法: 显式规定高斯的时间行为，把问题视为 temporal aliasing；结合 optical-flow 初始化与监督、triple-rendering supervision。
实验结果: 作者报告快运动、非刚性与严重遮挡数据上更好的连续性与画质。
实验条件与边界: 光流质量与可见性仍是潜在边界。
课题组研究线: 将时间一致性研究推进到连续时间场景编辑。
核阅章节: Abstract（完整摘要）

2024–2026 论文目录（共 6 篇）

2026 年3 篇

2025 年1 篇

2025 · SIGGRAPH AsiaGSWT: Gaussian Splatting Wang Tiles

2024 年2 篇

实验室与成员

Pedro Sander 研究组

博士生: 5
硕士生: 3

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

实时渲染与图形硬件；神经场与高斯表征；图像视频创作

在组成员8

成员	教育背景	研究方向与经历
Jenson LeePh.D. · 2025-present	—	co-advised by Ajay Joneja
Yunfan ZengPhD, CSE · 2024-present	—
Xuezhen WangPhD, CSE · 2024-present	—
Rui HuPhD, IIP · 2021-present	—
Seoyoung JeongMPhil, CSE · 2025-present	—	co-advised by Sai Kit Yeung；共同指导
ZHANG, FanxingPhD, Integrative Systems and Design	—	共同指导
FUNG, Hei YuenMPhil, CSE	—
HSU, Li-hsiuMPhil, CSE	—

校友与去向28

成员	教育背景	研究方向与经历
Li Ma校友 · PhD, CSE · 2019–2023	2023 HKUST PhD, CSE	Netflix
Xiaoyu Li校友 · Ph.D. · 2017-2021	—	Tencent
Bo Zhang校友 · Ph.D. · 2015-2019	—	Microsoft Research co-advised by Amine Bermak
Weidan Xiong校友 · Ph.D. · 2014-2019	—	NTU Singapore co-advised by Ajay Joneja
Songfang Han校友 · Ph.D. · 2014-2019 简历 · GitHub · Google Scholar · LinkedIn GitHub 关注 166 Stars 48	2013 Tongji University BS, Electrical Engineering	三维几何处理、重建、渲染与虚拟现实 SenseTime · Research Intern2017 秋季 Postdoctoral Researcher, UC San Diego SULab（2020-04 起）
Mingming He校友 · Ph.D. · 2015-2018	—	USC postdoc
Ge Chen校友 · Ph.D. · 2010-2017	—	J.P. Morgan
Jing Liao校友 · Ph.D. · 2011-2015	—	Microsoft Research, Assistant Professor at City Univ of HK
Lei Yang校友 · Ph.D. · 2007-2011	—	GPU 图形架构、实时渲染与抗锯齿 GPU Graphics Architect, NVIDIA
Hongwei Li校友 · Ph.D. · 2008-2010	—	Microsoft co-advised by Philip Fu
Lingyi Feng校友 · M.Phil. · 2020-2024	—	co-advised by Mingming Fan
Samarth Uttam校友 · M.Phil. · 2021-2023	—	co-advised by Ajay Joneja
Yutong Zhao校友 · M.Phil. · 2019-2021	2019–2021 HKUST MPhil	co-advised by Ajay Joneja
Zhaohua Li校友 · M.Phil. · 2012-2014	—
Kenneth Tse校友 · M.Phil. · 2008-2010	—	Mobile game developer in HK
Xuxiang Lin校友 · M.Phil. · 2008-2010	—	Credit Suisse
Liang Hu校友 · M.Phil. · 2006-2009	—	Google
Ryusuke Sugimoto校友 · B.Sc. / B.Eng. · 2018-2019	—	Toronto
Yue Yu校友 · B.Sc. / B.Eng. · 2010-2011	—	Stanford
Jingwan Lu校友 · B.Sc. / B.Eng. · FYT 2008-2009	—	Princeton
Alex Yau校友 · B.Sc. / B.Eng. · FYT 2007-2008	—	HKUST
Jiahe Xi校友 · B.Sc. / B.Eng. · 2007	Zhejiang University	Oxford
Rui Fang校友 · B.Sc. / B.Eng. · FYT 2006-2007	—	co-advised by Qiong Luo
Diego Nehab校友 · ATI Research Intern · Summer, 2005	—
Joshua Barczak校友 · ATI Research Intern · Summer, 2005	2003 University of Maryland, Baltimore County BS, Computer Science 2006 University of Maryland, Baltimore County MS, Computer Science	图形渲染、着色器与游戏引擎 ATI Research · Research Intern2005 夏季
KOBUS CONRADO, Giovanna校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
WANG, Sheng校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)
Yutong Zhao校友 · MPhil · 2011–2012	2011–2012 HKUST MPhil

教育与履历

教育背景

1998
Stony Brook University
BS, Computer Science
1999
Harvard University
SM, Computer Science
2003
Harvard University
PhD, Computer Science

任职经历

1997 夏季
Goldman Sachs
Systems Professional
1998 夏季
Microsoft DirectX
Software Design Engineer in Test Intern
2000、2001、2002 夏季
Microsoft Research
Research Intern
2003–2006
ATI Research
Senior Software Engineer; Staff Software Engineer
2006–2012
HKUST
Assistant Professor
2012–2020
HKUST
Associate Professor
2020–
HKUST
Professor

学术服务

实时图形、几何和渲染资深教师，产业图形硬件经历与长期图形学论文相连。

业界合作与实习

合作机构: 3家
合作记录: 4条
成员产业经历: 2条

ATI Research / AMD（employment）；Microsoft Research（research internship）；Microsoft DirectX（internship）；Goldman Sachs（employment）

ATI Research / AMD 任职
2003–2006 从高级软件工程师至 Staff Software Engineer
Microsoft Research 研究实习
2000、2001、2002 年夏季图形研究实习
Microsoft DirectX 研究实习
1998 年夏季测试软件工程实习
Goldman Sachs 任职
1997 年夏季系统设计与实现

成员实习与产业经历

2005 夏季
Joshua Barczak · ATI Research
Research Intern；UMBC 硕士阶段；Research Intern
2017 秋季
Songfang Han · SenseTime
Research Intern；博士学习期间；Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用49P49

h-index51P51

2024–2026 论文23P23

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 149 篇 · i10-index 63 · 截至 2026-10-17

Chi-Keung TANG

鄧智強

Professor

个人主页 · 学校档案 · 档案

实验室: Chi-Keung Tang 研究组
博士毕业于: USC · 2000
研究主线: 视觉理解与分割；图形与三维生成；学习与视觉推理

累计引用: 13,701次
h-index: 60
2024–2026 论文: 36篇
在组成员: 4人

研究方向

视觉理解与分割
高质量分割、prompt 稳定性、视频与三维分割。
图形与三维生成
NeRF、4D reconstruction、trajectory fields、结构可控 3D generation。
学习与视觉推理
鲁棒检测、continual test-time adaptation、视觉语言推理。

长年视觉分割、图形和学习研究延续到 SAM 与神经场。2024 SANeRF-HQ 处理跨视角边界，2025 Stable-SAM 处理提示不稳定，2026 SK-Adapter 用骨架约束原生三维生成。共同目标是让视觉模型在实际输入与结构约束下更准确、更可控。

视觉质量与结构控制驱动

代表作从具体失败机制出发，使用轻量适配和显式结构保留已有基础模型能力。

代表论文与近期发表

2024SANeRF-HQ: Segment Anything for NeRF in High QualityCVPR 2024

研究问题: 把二维 SAM 接入三维场景时，复杂边界和多视角一致性仍不足。
核心方法: SAM 接收用户提示，NeRF 聚合视角，以 density field 与 RGB similarity 改进边界。
实验结果: 作者在多种 NeRF 数据集报告高质量三维分割和跨视角一致性提升。
实验条件与边界: 需要场景 NeRF 和适当提示。
课题组研究线: 把分割研究连接到三维场景表示。
核阅章节: Abstract（完整摘要）

2025Stable Segment Anything ModelICLR 2025（官方出版记录）；所读 arXiv 早期稿

研究问题: 不精确框和少量点提示使 SAM 注意力偏向背景或局部。
核心方法: DSP 改变采样位置与幅度，DRP 按提示质量切换采样；RTS 训练覆盖多种提示质量，保持原模型参数固定。保持原 SAM 参数，修改 token-to-image cross-attention 的采样位置和幅度，避免直接 finetuning 破坏 zero-shot 能力。
实验结果: 摘要报告仅新增 0.08M 参数并改善多数据集稳定性；早期稿称 1 epoch 适应。
实验条件与边界: 论文版本与正式版细节需核对；已读 RTS 讨论指出对高质量提示存在轻微性能折中。
课题组研究线: 从分割质量进一步研究输入扰动稳定性。
核阅章节: Abstract（完整）、1 Introduction（完整）、6 Conclusion（完整）、RTS 方法讨论段（搜索返回）

2026SK-Adapter: Skeleton-Based Structural Control for Native 3D GenerationECCV 2026（作者项目页）

研究问题: 文本和图像对关节结构约束含糊，原生 3D 模型缺少直接骨架控制。
核心方法: 轻量 adapter 将关节坐标与拓扑编码为 tokens，通过 cross-attention 注入固定 3D backbone；构建 24K text-mesh-skeleton 对。
实验结果: 作者报告结构控制与几何纹理质量改善，并展示骨架引导的局部编辑。
实验条件与边界: 结论限于骨架可表达结构；数据与基础模型对非关节物体的适用性需继续阅读。
课题组研究线: 把结构线索从感知延伸到可控三维生成。
核阅章节: Abstract（完整摘要）

2024–2026 论文目录（共 36 篇）

2026 年8 篇

2025 年16 篇

2024 年12 篇

实验室与成员

Chi-Keung Tang 研究组

博士生: 1
硕士生: 3

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

视觉理解与分割；图形与三维生成；学习与视觉推理

在组成员4

成员	教育背景	研究方向与经历
OLSSON, Christopher SvenPhD, Mechanical Engineering	—	共同指导
TO, Tuan AnMPhil, CSE	—	共同指导
TSE, Wai ChungMPhil, CSE	—	共同指导
ZHAO, YuboMPhil, CSE	—

校友与去向73

成员	教育背景	研究方向与经历
LIU, Xinhang校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE
JI, Wen校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE	共同指导
FAN, Qi校友 · PhD, CSE · 2023	2023 HKUST PhD, CSE	Associate Professor, Nanjing University
KE, Lei校友 · PhD, CSE · 2023	2023 HKUST PhD, CSE	Senior Research Scientist, NVIDIA
SUN, Yanan校友 · PhD, CSE · 2023	2023 HKUST PhD, CSE
TSANG, Siu Chung校友 · PhD, CSE · 2023	2023 HKUST PhD, CSE	共同指导
KAO, Shiu-hong校友 · MPhil, CSE · 2025	2025 HKUST MPhil, CSE
LIU, Yichen校友 · MPhil, CSE · 2024	2024 HKUST MPhil, CSE
ZHANG, Hao校友 · MPhil, CSE · 2024	2024 HKUST MPhil, CSE
Jia Chen校友 · PhD · 2009	2009 HKUST PhD	Head of Data Science, Integrity and Core Experience, Grab
Jiaya Jia校友 · PhD · 2004	2004 HKUST PhD	Chair Professor, HKUST
Shangzhe Wu校友 · Undergraduate research mentee	—	Assistant Professor, University of Cambridge CV 列为本科研究指导对象；所列机构为后续升学去向。 CV 同时列出其后续任职。
Yufan Deng校友 · Undergraduate research mentee	—	DPhil, University of Oxford CV 列为本科研究指导对象；所列机构为后续升学去向。
Yuhao Zhang校友 · Undergraduate research mentee	—	PhD, Imperial College London CV 列为本科研究指导对象；所列机构为后续升学去向。
Mikaela Angelina C. Uy校友 · Undergraduate research mentee	—	PhD, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Qifeng Chen校友 · Undergraduate research mentee	—	Associate Professor, HKUST CV 列为本科研究指导对象；所列机构为后续升学去向。 CV 同时列出其后续任职。
Haoye Cai校友 · Undergraduate research mentee	—	MS, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Guanzhi Wang校友 · Undergraduate research mentee	—	MS, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Xiaoyuan Ni校友 · Undergraduate research mentee	—	MS, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Tianyuan Dai校友 · Undergraduate research mentee	—	MS, Stanford University CV 列为本科研究指导对象；所列机构为后续升学去向。
Haozhi Qi校友 · Undergraduate research mentee	—	Assistant Professor, University of Chicago CV 列为本科研究指导对象；所列机构为后续升学去向。 CV 同时列出其后续任职。
Yuyao Zhang校友 · Undergraduate research mentee	—	PhD, Dartmouth College CV 列为本科研究指导对象；所列机构为后续升学去向。
Jihoon Chung校友 · Undergraduate research mentee	—	PhD, Princeton University CV 列为本科研究指导对象；所列机构为后续升学去向。
Hei Law校友 · Undergraduate research mentee	—	Princeton University CV 列为本科研究指导对象；所列机构为后续升学去向。
Linguang Zhang校友 · Undergraduate research mentee	—	PhD, Princeton University CV 列为本科研究指导对象；所列机构为后续升学去向。
Dingzeyu Li校友 · Undergraduate research mentee	—	PhD, Columbia University CV 列为本科研究指导对象；所列机构为后续升学去向。
Hsuan-ru Yang校友 · Undergraduate research mentee	—	MS, Columbia University CV 列为本科研究指导对象；所列机构为后续升学去向。
Qiao Gu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Haoyang Fang校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Chunyan Bai校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Heshen Liu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Ji Liu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Lin Zhang校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Cheng-hsin Wuu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Boyu Liu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Ziyan Zheng校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Lucen Zhao校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Rui Yan校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Hengyuan Hu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Rui Peng校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Yushi Sun校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Benren Hu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Junkai Huang校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Yanbo Xu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Jianmeng Liu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Juntao Zhang校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Qi Wu校友 · Undergraduate research mentee	—	Carnegie Mellon University CV 列为本科研究指导对象；所列机构为后续升学去向。
Han Jiang校友 · Undergraduate research mentee	—	PhD, University of Texas at Austin CV 列为本科研究指导对象；所列机构为后续升学去向。
Ho Kei Cheng校友 · Undergraduate research mentee	—	PhD, University of Illinois Urbana-Champaign CV 列为本科研究指导对象；所列机构为后续升学去向。
Xiang Li校友 · Undergraduate research mentee	—	PhD, University of Illinois Urbana-Champaign CV 列为本科研究指导对象；所列机构为后续升学去向。
Jiarui Xu校友 · Undergraduate research mentee	—	PhD, UC San Diego CV 列为本科研究指导对象；所列机构为后续升学去向。
Shaopeng Guo校友 · Undergraduate research mentee	—	PhD, UC San Diego CV 列为本科研究指导对象；所列机构为后续升学去向。
Abhishek Gupta校友 · Undergraduate research mentee	—	MS, UC San Diego CV 列为本科研究指导对象；所列机构为后续升学去向。
Yanzhao Wang校友 · Undergraduate research mentee	—	MS, UCLA CV 列为本科研究指导对象；所列机构为后续升学去向。
Huaiqian Liu校友 · Undergraduate research mentee	—	MS, University of Washington CV 列为本科研究指导对象；所列机构为后续升学去向。
Shaoyu Chen校友 · Undergraduate research mentee	—	PhD, New York University CV 列为本科研究指导对象；所列机构为后续升学去向。
Xiaohui Zeng校友 · Undergraduate research mentee	—	PhD, University of Toronto CV 列为本科研究指导对象；所列机构为后续升学去向。
Zhenmei Shi校友 · Undergraduate research mentee	—	PhD, University of Wisconsin–Madison CV 列为本科研究指导对象；所列机构为后续升学去向。
Hang Yin校友 · Undergraduate research mentee	—	PhD, University of Wisconsin–Madison CV 列为本科研究指导对象；所列机构为后续升学去向。
Ruida Wang校友 · Undergraduate research mentee	—	PhD, University of Wisconsin–Madison CV 列为本科研究指导对象；所列机构为后续升学去向。
Hao Wu校友 · Undergraduate research mentee	—	PhD, University of Wisconsin–Madison CV 列为本科研究指导对象；所列机构为后续升学去向。
Dehao Yuan校友 · Undergraduate research mentee	—	PhD, University of Maryland CV 列为本科研究指导对象；所列机构为后续升学去向。
Haosen Sun校友 · Undergraduate research mentee	—	MS, Northwestern University CV 列为本科研究指导对象；所列机构为后续升学去向。
Yinwei Du校友 · Undergraduate research mentee	—	MS, ETH Zurich CV 列为本科研究指导对象；所列机构为后续升学去向。
Yu-Wing Tai校友 · Graduate mentee	—	Associate Professor, Dartmouth College
Sai Kit Yeung校友 · Graduate mentee	—	Professor, HKUST
Cewu Lu校友 · Graduate mentee	—	Professor, Shanghai Jiao Tong University
Yin Li校友 · VisGraph research alumnus	—
Heung Sun Ng校友 · VisGraph research alumnus	—
Ruonan Pu校友 · VisGraph research alumnus	—
Dickson Wai Shun Tong校友 · VisGraph research alumnus	—
Tai-Pang Wu校友 · VisGraph research alumnus	—
Jinhao Zhu校友 · VisGraph research alumnus	—

教育与履历

教育背景

1992
CUHK
BSc, Computer Science
1994
HKUST
MPhil, Computer Science
1999
USC
MSc, Computer Science
2000
USC
PhD, Computer Science
导师 Gérard Medioni

任职经历

2000–2005
HKUST
Assistant Professor
2005–2009
HKUST
Associate Professor
2007–2008
Microsoft Research Asia
Visiting Researcher
2008
UCLA Mathematics
Visiting Professor
2009–
HKUST
Professor

学术服务

资深视觉与图形教授，2000 年以来在 HKUST 任教。

指导方式与组内生活

公开陈述强调高强度基础训练、本科生独立研究与按学术表现评价。

训练强度

教学陈述写明设置与美国图形学课程相当的计算机项目，在面向对象课程中要求完成大规模 C++ 程序。

本科科研

CV 与教学陈述写明，本科研究者直接推进项目，并有在没有博士生参与的情况下完成顶会论文的记录。

沟通语言

DEI 陈述写明组内外使用英语，按 academic merits 评价学生。

业界合作与实习

合作机构: 4家
合作记录: 4条
成员产业经历: 0条

Google（research funding）；Tencent（research funding）；Kuaishou（research funding）；Microsoft Research Asia（visiting appointment）

Google 研究资助
CV 列为工业捐赠来源
Tencent 研究资助
CV 列为工业捐赠来源
Kuaishou 研究资助
CV 列为工业捐赠来源
Microsoft Research Asia 访问任职
2007–2008 Visual Computing Group sabbatical

学术影响与网络关注

计算标准

院系样本分位

累计引用80P80

h-index81P81

2024–2026 论文58P58

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 258 篇 · i10-index 130 · 截至 2026-10-17

Ke YI

易珂

Professor

个人主页 · 学校档案 · 档案

实验室: hkustDB 相关数据库理论与系统组
博士毕业于: Duke University · 2006
研究主线: Database theory and algorithms；Data security and privacy；Parallel and distributed algorithms；Sampling；Data streams；Query processing and database prototypes；Data summarization and external-memory algorithms

累计引用: 5,621次
h-index: 43
2024–2026 论文: 29篇
在组成员: 10人

研究方向

Database theory and algorithms
Data security and privacy
Parallel and distributed algorithms
Sampling
Data streams
Query processing and database prototypes
Quorion、Yannakakis+、SparkSQL+、SecYan、CROWN、Cquirrel、XDB 将查询算法落到实际系统。
Data summarization and external-memory algorithms
主页另列 data summarization、data structures、external memory algorithms 与 computational geometry。

长期 sampling、summarization、streaming、external-memory 与 query algorithms；近年继续 joins/query rewrite，同时做 DP、geo-privacy、secure query processing。

理论保证与实际系统的明确双重取向

主页明确偏好简单算法、精巧分析及实践洞见；Yannakakis+ 与 Flexway 都针对 theory-practice gap。

代表论文与近期发表

2024Smooth Sensitivity for Geo-PrivacyCCS

研究问题: 统一噪声的 geo-privacy 对不同实例效用不足。
核心方法: 把 smooth sensitivity 从 DP 推广到一般 metric 的 GP。
实验结果: 给机制和计算框架，应用于 threshold 与 Gaussian KDE。
实验条件与边界: GP 与传统 DP 的相邻关系不同；保证须使用对应 metric。
课题组研究线: 延续数据隐私的实例敏感分析。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Flexway O-Sort: Enclave-Friendly and Optimal Oblivious SortingUSENIX Security

研究问题: oblivious sort 的渐近最优方法与实际 enclave 成本脱节。
核心方法: 设计适合 enclave 的 flexway sorting 与新 MergeSplit。
实验结果: 12 GB 输入在 enclave 内外均优于比较方法；sort 支持 join、histogram、ORAM 初始化。
实验条件与边界: 并行化、MPC/FHE circuit 版本留待后续；基准收益依内存边界。
课题组研究线: 安全查询的数据结构底层。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Yannakakis+: Practical Acyclic Query Evaluation with Theoretical GuaranteesSIGMOD

研究问题: 经典 Yannakakis 理论好、隐藏常数大，难进入 SQL 引擎。
核心方法: 保留理论保证，生成标准 relational-operator DAG 并用 query rewrite 接入 4 个引擎。
实验结果: 162 个查询中 160 个胜过 native plan，平均加速 2.41 倍。
实验条件与边界: 当时实现为 rewrite-based；引擎内单 physical plan 与统计集成仍可改进。
课题组研究线: 直接体现算法—真实系统双线。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Differential Privacy on Fully Dynamic StreamsNeurIPS

研究问题: 数据插入和删除时持续发布线性查询的 private answers。
核心方法: 将 static DP mechanism 黑盒转换为 fully dynamic mechanism。
实验结果: 只产生 polylogarithmic utility degradation。
实验条件与边界: 限定线性查询与论文 streaming/privacy 模型；不是任意查询零代价动态化。
课题组研究线: 结合多年 streaming 与 privacy 主线。
核阅章节: Abstract、Introduction（开头）

2024–2026 论文目录（共 29 篇）

2026 年7 篇

2025 年12 篇

2024 年10 篇

实验室与成员

hkustDB 相关数据库理论与系统组

博士生: 8
硕士生: 2

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Database theory and algorithms；Data security and privacy；Parallel and distributed algorithms；Sampling；Data streams；Query processing and database prototypes；Data summarization and external-memory algorithms

在组成员10

成员	教育背景	研究方向与经历
Bingnan ChenPhD · 2021CSE	—	PhD, since Fall 2021
Zijun ChenPhD · 2022CSE	—	PhD, since Fall 2022; co-advised with Nian Si
Binyang DaiPhD · 2022CSE	—	PhD, since Fall 2022
Jianzhe YuPhD · 2023CSE	—	PhD, since Fall 2023
Tian ShuPhD · 2024CSE	—	PhD, since Fall 2024
Qi DongPhD · 2024CSE	2026 HKUST MPhil	PhD, since Fall 2024
Zifei LiuMPhil · 2025CSE	—	MPhil, since Spring 2025
Xiaoyu HanPhD · 2025CSE	—	PhD, since Fall 2025
Yik Long TseMPhil · 2026CSE	—	MPhil, since Fall 2026
Han YinPhD · 2026CSE	—	PhD, since Fall 2026; co-advised with Lei Chen

校友与去向34

成员	教育背景	研究方向与经历
Yuting Liang校友 · PhD 2025 · 2025CSE	2025 HKUST PhD	Postdoctal Fellow at University of Toronto PhD 2025; now Postdoctal Fellow at University of Toronto
Dajun Sun校友 · PhD 2025 · 2025CSE	2025 HKUST PhD	Researcher at Huawei Hong Kong Research Center PhD 2025; now Researcher at Huawei Hong Kong Research Center
Juanru Fang校友 · PhD 2025 · 2025CSE GitHub GitHub 关注 0 Stars 2	2025 HKUST PhD	Assistant Lecturer at University of Hong Kong PhD 2025; now Assistant Lecturer at University of Hong Kong
Qiyao Luo校友 · PhD 2024 · 2024CSE	2024 HKUST PhD	Researcher at Ant Group PhD 2024; now Researcher at Ant Group
Wei Dong校友 · PhD 2023 · 2023CSE	2023 HKUST PhD	Assistant Professor at Nanyang Technological University PhD 2023; SIGMOD Jim Gray Doctoral Dissertation Award Runner-up; now Assistant Professor at Nanyang Technological University
Qichen Wang校友 · PhD 2022 · 2022	—	Assistant Professor at Nanyang Technological University PhD 2022; now Assistant Professor at Nanyang Technological University
Yuan Qiu校友 · PhD 2022 · 2022 LinkedIn · GitHub · DBLP · ORCID · Google Scholar DBLP 近三年 7 GitHub 关注 17 Stars 4	—	Professor at Southeast University PhD 2022; now Professor at Southeast University
Yilei Wang校友 · PhD 2022 · 2022 Google Scholar · GitHub GitHub 关注 32 Stars 418	—	Research Scientist at Alibaba Cloud PhD 2022; now Research Scientist at Alibaba Cloud
Ziyue Huang校友 · PhD 2022 · 2022	—	at Tencent PhD 2022; now at Tencent
Xiao Hu校友 · PhD 2019 · 2019	—	Assistant Professor at University of Waterloo PhD 2019; now Assistant Professor at University of Waterloo
Yu Chen校友 · PhD 2019 · 2019	—	at Alibaba Cloud PhD 2019; now at Alibaba Cloud
Bin Wu校友 · PhD 2017 · 2017	—	Senior Technology Research Expert at Alibaba Cloud PhD 2017; now Senior Technology Research Expert at Alibaba Cloud
Di Chen校友 · PhD 2017 · 2017	—	at Virtu Financial, Singapore PhD 2017; co-advised with Mordecai Golin; now at Virtu Financial, Singapore
Han Xu校友 · PhD 2016 · 2016	—	at Huawei PhD 2016; co-advised with Yunhao Liu; now at Huawei
Ge Luo校友 · PhD 2016 · 2016	—	Chief Scientist at DataYes PhD 2016; now Chief Scientist at DataYes
Lu Wang校友 · PhD 2015 · 2015 GitHub GitHub 关注 1,228 Stars 16,124	—	at Google Switzerland PhD 2015; now at Google Switzerland
Xiaoyu Ji校友 · PhD 2015 · 2015	—	Professor at Zhejiang University PhD 2015; co-advised with Yunhao Liu; now Professor at Zhejiang University
Longfei Shangguan校友 · PhD 2015 · 2015 Google Scholar · LinkedIn · X · GitHub GitHub 关注 10 Stars 7	—	Associate Professor at University of Pittsburgh PhD 2015; co-advised with Yunhao Liu; now Associate Professor at University of Pittsburgh
Zengfeng Huang校友 · PhD 2013 · 2013 GitHub GitHub 关注 1 Stars 0	—	Professor at Fudan University PhD 2013; now Professor at Fudan University
Zhewei Wei校友 · PhD 2012 · 2012	—	Professor at Renmin University PhD 2012; now Professor at Renmin University
Qin Zhang校友 · PhD 2011 · 2011	—	Professor at Indiana University Bloomington PhD 2011; co-advised with Mordecai Golin; now Professor at Indiana University Bloomington
Haoqian Zhang校友 · MPhil 2019 · 2019	—	PhD student at EPFL MPhil 2019; now PhD student at EPFL
Junhong Cao校友 · MPhil 2019 · 2019	—	at Lyft MPhil 2019; now at Lyft
Serafeim Papadias校友 · MPhil 2018 · 2018	—	at Athena Research Center MPhil 2018; now at Athena Research Center
Dexter Lee校友 · MPhil 2018 · 2018	—	MPhil 2018
Wai Ming Tai校友 · MPhil 2015 · 2015	—	at Huawei Singapore MPhil 2015; now at Huawei Singapore
Hao Liu校友 · MPhil 2014 · 2014 Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 110 GitHub 关注 54 Stars 2	—	Associate Professor at HKUST-GZ MPhil 2014; now Associate Professor at HKUST-GZ
Ching-Hin Lau校友 · MPhil 2009 · 2009	—	MPhil 2009
Wenqi Zhu校友 · MPhil 2008 · 2008	—	MPhil 2008
Konstantinos Tsakalidis校友 · Postdoc 2012 ~ 2013 · 2012–2013	—	Lecturer at University of Liverpool Postdoc 2012 ~ 2013; now Lecturer at University of Liverpool
Chi Hoi Yip校友 · Final-year thesis 2019 · 2019	—	Assistant Professor at HKUST Final-year thesis 2019; now Assistant Professor at HKUST
Xiao Wang校友 · Final-year thesis 2013 · 2013 简历 · Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 59 GitHub 关注 243 Stars 73	—	Associate Professor at Northwestern University Final-year thesis 2013; now Associate Professor at Northwestern University
Zhepeng Yan校友 · Final-year thesis 2010 · 2010	—	at Google US Final-year thesis 2010; now at Google US
Shuqing Wei校友 · PhD · 2024Individualized Interdisciplinary Program (Intelligent Transportation)	—	共同指导；；Individualized Interdisciplinary Program

教育与履历

教育背景

2001
Tsinghua University
Bachelor, Computer Science
2006
Duke University
PhD, Computer Science

任职经历

HKUST CSE
Professor

学术服务

数据库理论与实践交叉领域的 ACM Fellow。

学术影响与网络关注

计算标准

院系样本分位

累计引用55P55

h-index65P65

2024–2026 论文53P53

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 276 篇 · i10-index 103 · 截至 2026-10-17

Charles ZHANG

張川

Professor

个人主页 · 学校档案 · 档案

实验室: Cybersecurity Laboratory；Clearblue
博士毕业于: University of Toronto · 2007
研究主线: Program analysis；Software security；Software engineering；Programming languages；System-wide data-flow understanding

累计引用: 2,356次
h-index: 25
2024–2026 论文: 27篇
在组成员: 11人

研究方向

Program analysis
Software security
Software engineering
Programming languages
System-wide data-flow understanding
Clearblue 以 static/dynamic analysis、LLVM IR 和 LLM agents 理解大型、二进制、时空解耦系统。

从 value-flow/static analysis、并发与缺陷检测，持续扩展到 million-line 程序、stripped binaries、type inference、fuzzing 和 binary lifting。Clearblue 近期组合 LLVM IR 与 LLM agents，目标仍为跨系统 data-flow 理解。

统一程序分析基础上的安全系统与转化

Manta、Kraken、Barracuda 分别改进类型、探索和动态语义，均有明确实现/缺陷证据。

代表论文与近期发表

2024Manta: Hybrid-Sensitive Type Inference Toward Type-Assisted Bug Detection for Stripped BinariesASPLOS

研究问题: 二进制缺类型信息使 static bug detection 不精确。
核心方法: 混合 sensitivity 的 data-flow type inference，类型辅助剪枝 indirect calls 与依赖。
实验结果: 类型 precision 78.7%、recall 97.2%；86 个已确认新漏洞，64 个 CVE/PSV。
实验条件与边界: 依赖受支持 binary/analysis model，类型恢复仍有误差。
课题组研究线: 延续 value-flow 与 binary understanding。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025KRAKEN: Program-Adaptive Parallel FuzzingISSTA

研究问题: 固定 parallel fuzzing 策略难适应不同程序。
核心方法: 运行反馈驱动策略优化，逐步寻找 program-specific policy。
实验结果: 19 程序对 8 fuzzers，coverage 多 54.7%、bug 多 70.2%；另外报告 37 项目 192 bug。
实验条件与边界: 统计属于固定预算与基准；广泛扫描发现数与对照实验分开。
课题组研究线: 以动态反馈改进自动缺陷发现。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2026Enhancing Semantic-Aware Binary Diffing with High-Confidence Dynamic Instruction AlignmentNDSS

研究问题: 精细 instruction anchors 的语法匹配脆弱，完整语义昂贵。
核心方法: BARRACUDA 用 forced execution 提取有效的部分语义。
实验结果: instruction alignment 多 24.0%，precision 92.1%；改善两种 diff 工具 F1。
实验条件与边界: 针对所测 binary 变化与 compiler 设置；部分执行仍有覆盖边界。
课题组研究线: 延续二进制语义与安全分析。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 27 篇）

2026 年7 篇

2025 年3 篇

2024 年17 篇

实验室与成员

Cybersecurity Laboratory；Clearblue

博士生: 11

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Program analysis；Software security；Software engineering；Programming languages；System-wide data-flow understanding

在组成员11

成员	教育背景	研究方向与经历
Chengfeng YePhDCSE	—
Bowen ZhangPhDCSE	—
Yibo JinPhDCSE	—
Wei ChenPhDCSE	—
Sixiang PengPhDCSE	—
Shuhao FuPhDCSE	—
Xiang ChenPhDCSE	—
Chenyang SunPhDCSE	—
Qi ZhangPhDCSE	—
Yuanchen GaoPhDCSE	—
Pingjiang LiPhDCSE	—

校友与去向26

成员	教育背景	研究方向与经历
Maryam Masoudian校友 · PhDCSE	2026 HKUST PhD	Postdoc, University of Auckland
Anshunkang Zhou校友 · PhDCSE	2025 HKUST PhD	Postdoc, HKUST
Yiyuan Guo校友 · PhDCSE	2025 HKUST PhD	Huawei
Hao Ling校友 · PhDCSE	2025 HKUST PhD	Tencent
Wensheng Tang校友 · PhDCSE	2024 HKUST PhD	Huawei
Chengpeng Wang校友 · PhDCSE	2023 HKUST PhD	Assistant Professor, NUS
Yuandao Cai校友 · PhDCSE	2023 HKUST PhD	Huawei
Heqing Huang校友 · Postdoc X · GitHub · Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 21 OpenAlex 近三年 23 引用 441 h-index 11 GitHub 关注 93 Stars 113	—	Assistant Professor, CityU Hong Kong
Peisen Yao校友 · PhD	—	Assistant Professor, Zhejiang University
Jiajun Gong校友 · PhDCSE	2023 HKUST PhD	Postdoc, NUS
Kexin Ma校友 · MPhil	—
Qingkai Shi校友 · PhD Google Scholar · DBLP · ORCID · X · GitHub · OpenAlex DBLP 近三年 30 OpenAlex 近三年 35 引用 1,341 h-index 17 GitHub 关注 132 Stars 87	—	Ant Financial
Gang Fan校友 · PhD	—	SourceBrella Staff Engineer；后加入 Ant Financial
Rongxin Wu校友 · Postdoc	—	Associate Professor, Xiamen University
Yepang Liu校友 · Postdoc	—	Associate Professor, SUSTech
Richard Xiao校友 · PhD / Postdoc	—	SourceBrella founder and CEO；后加入 Ant Financial
Jinguo (Andy) Zhou校友 · Postdoc	—	SourceBrella co-founder；后加入 Ant Financial
Qirun Zhang校友 · Postdoc	—	Associate Professor, Georgia Tech
Peng Liu校友 · PhD	—	Researcher, IBM T.J. Watson
Jeff Huang校友 · PhD	—	Professor, Texas A&M
Lingjie Huang校友 · MPhil	—
Yushan Zhang校友 · MPhil	—	Software Engineer, Tencent
Bin Xu校友 · MPhil	—	Software Engineer, Facebook
Fan Yu校友 · MPhil	—	Software Engineer, Pinduoduo
Hung-chun Chiu校友 · MPhil · 2026CSE	—
Bangyan Du校友 · MPhil · 2025CSE	—

教育与履历

教育背景

University of Toronto
BSc (Honours)
University of Toronto
MSc
2007
University of Toronto
PhD, Electrical and Computer Engineering

任职经历

HKUST CSE
Professor; Director, Cybersecurity Laboratory
Motorola
Software Engineer
Huawei
Expert advisor
Hong Kong Monetary Authority
Expert security panelist

学术服务

静态/动态程序分析及其安全应用的长期研究者。

业界合作与实习

合作机构: 4家
合作记录: 6条
成员产业经历: 0条

长期静态分析产业转化涉及 SourceBrella、Ant Group 与 Huawei。

SourceBrella / Ant Group 成果商业化
SourceBrella 于 2020 年被 Ant Group 收购；多位校友参与创办或工程研发。
Huawei 联合研究
主页列 2021、2022 Huawei Distinguished Collaborator。
Ant Group 联合研究
主页列 2023 Outstanding Collaboration。
Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 Trustworthy Parallel Software（2023 -）
Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 Trustwothiness of Basic Software（2023 -）
TCL Corporation 资助研究项目
牵头项目 The research and development of MID technology（2012 - 2025）

学术影响与网络关注

计算标准

院系样本分位

累计引用32P32

h-index36P36

2024–2026 论文50P50

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 149 篇 · i10-index 60 · 截至 2026-10-17

Nevin Lianwen ZHANG

張連文

Professor

个人主页 · 学校档案 · 档案

实验室: Nevin L. Zhang 研究组
博士毕业于: Beijing Normal University · 1989
研究主线: 概率模型与潜结构；可信学习；语言、agent 与生物医学

累计引用: 3,968次
h-index: 30
2024–2026 论文: 15篇
在组成员: 9人

研究方向

概率模型与潜结构
Bayesian networks、latent trees、聚类、层次主题和不确定性推理。
可信学习
XAI、domain generalization、test-time adaptation。
语言、agent 与生物医学
NLP、生成模型、agentic AI、结构生物学、药物发现和中医数据模型。

潜树模型、层次主题与医学聚类构成较长主线。近年将因果不变特征、解释和概率思路用于 domain generalization，组员主题进一步进入结构生物学和 agentic AI。2024 的 LAM 与 DRM 之间有明确方法连续性；药物方向目前由成员与招聘页面确认。 TCM-FTP 把早期中医数据建模延伸到领域 LLM；InSight-o3 则通过显式的搜索与推理分工发展多模态 agent。两条线分别体现应用连续性与方法迁移。

概率与因果表征基础上的稳健学习

LAM 对语义共享对做细粒度一致性，DRM 平衡平均与最坏风险，TTA 关注无标签适应噪声。

代表论文与近期发表

2024Consistency Regularization for Domain Generalization with Logit Attribution MatchingUAI 2024

研究问题: 模型利用背景等伪相关时，域外泛化失败。
核心方法: 构造共享目标语义的样本对，对类别 logit 的特征贡献进行一致性匹配；给出因果框架下的理论动机。
实验结果: 作者在 5 个 DG 基准、4 个预训练模型报告优于若干 DG 与 CR 对照。
实验条件与边界: 依赖语义共享配对质量；结论提出更有效生成 informative pairs 为后续问题。
课题组研究线: 与概率、因果及解释方向共享表征解释基础。
核阅章节: Abstract（完整）、Introduction（前四段）、Conclusion（搜索返回完整段）

2024Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot ModelsNeurIPS 2024

研究问题: 微调会损伤零样本基础模型的域外稳健性。
核心方法: 结合 ERM 和 worst-case risk，利用 LLM 核心概念描述形成最坏风险代理。最坏风险以 GPT-4 类别核心概念形成的 CLIP soft labels 代理。
实验结果: CLIP ViT-L/14@336 的摘要域外结果为 ImageNet 75.9→77.1、iWildCam 47.1→51.8、FMoW 50.7→53.1。
实验条件与边界: 作者观察 GPT-4 在眼科与乳腺组织图像等领域产生错误概念，未逐条验证全部描述；有效性也依赖 CLIP 预训练覆盖。
课题组研究线: 接续 LAM 的核心特征与域外泛化问题。
核阅章节: Abstract（完整）、1 Introduction（完整）、6 Conclusion（完整）、Appendix G Limitations（完整）

2025Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy MinimizationAAAI 2025

研究问题: 测试流含噪样本时，输出置信度和错误在线更新会损伤适应。
核心方法: MoTTA 用剪枝前后输出差过滤样本，FlatEM 同时约束零阶和一阶平坦性，并正则化参数更新。
实验结果: 作者报告在 noisy TTA streams 上相对已有基线具有优势。
课题组研究线: 从训练时域泛化延伸到测试时模型适应。
核阅章节: Abstract（完整摘要）

2026InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual SearchICLR 2026；2025 预印本

研究问题: 高信息密度文档和地图需要多步视觉推理及对分散细节的定向搜索。
核心方法: 构建 O3-Bench；将系统拆为高层 vReasoner 和视觉搜索 vSearcher，用强化学习训练后者定位自由语言描述的关系性、模糊或概念性图像区域。
实验结果: 引言报告 GPT-5-mini 在 O3-Bench 从 39.0% 提升至 61.5%，Gemini-2.5-Flash 在 V*-Bench 从 80.1% 至 87.6%；单独 o3 在 O3-Bench 为 40.8%。
实验条件与边界: 附录 D.4 说明，多数 O3-Bench 错答来自 vReasoner；在裁剪正确的例子中，模型也会受先验偏差影响而忽略证据或跳过关键图像信息。vSearcher 也会在复杂地图结构和多线索区域描述上失败。
课题组研究线: 将长期的不确定性推理、可解释任务分解迁移到多模态 agent；2026 正式论文使其当前研究延伸有直接内容支撑。
核阅章节: Abstract（完整）、1 Introduction（完整）、6 Conclusion（完整）、D.4 Failure Cases（完整正文说明；未逐幅评审图 20 至 21）

2024TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription PredictionIEEE BIBM 2024

研究问题: 处方预测面临临床文本不足、症状与药物组合关系复杂，以及剂量预测缺失。
核心方法: 从消化系统疾病临床记录构建 DigestDS；对 LLaMA+ 和 ShenNong 等模型使用 LoRA 微调，并利用药物顺序无关性做排列增强。
实验结果: 所读版本报告最佳药物预测 F1 为 0.8031，剂量 NMSE 为 0.0604；20 个测试样本由专家做定性评价。
实验条件与边界: 结果衡量既有处方和剂量的预测相符程度，临床结局与前瞻性有效性尚未建立。专家评价仅抽取 20 个样本。
课题组研究线: 延续中医患者与症状数据建模路线，并把模型方法扩展至领域语言模型；这是既有应用积累与新表示方法的结合。
核阅章节: Abstract（完整）、I Introduction（完整）、IV Results and Discussion（完整）、V Conclusion（完整）

2024–2026 论文目录（共 15 篇）

2026 年3 篇

2025 年4 篇

2024 年8 篇

实验室与成员

Nevin L. Zhang 研究组

博士生: 8
硕士生: 1

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

概率模型与潜结构；可信学习；语言、agent 与生物医学

在组成员9

成员	教育背景	研究方向与经历
TONG HaoweiPhD, CSE	—	AI for Structural Biology
Wang JianmingPhD, CSE	—	AI for Healthcare
CHEN Hsi ChenMPhil, CSE	—	AI for Structural Biology
Kaican LiPhD, CSE	—	Domain generalization, generative models, agentic AI
Lin ZhiPhD, CSE	—	Reinforcement Learning for Robotics
WEI YuePhD, CSE	—	HCI
CAO, ZhenxiaoPhD, CSE	—
TALHA, MuhammadPhD, CSE	—
WANG, ZhuomaPhD, IIP (Advanced Materials)	—	共同指导

校友与去向32

成员	教育背景	研究方向与经历
XIE Weiyan校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE	XAI, generative models, agentic AI
ZHOU Xingzhi校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE	Huawei, Hong Kong
ZHAO Yinxiu校友 · PhD, IIP (AI) · 2024	2024 HKUST PhD, IIP (AI)	Alibaba 共同指导
Dongkyu Lee校友 · PhD, CSE · 2023	2023 HKUST PhD, CSE	Amazon, New York
JAUNG Stefan校友 · MPhil, CSE · 2023	2023 HKUST MPhil, CSE	Ontra , New Jersey
TIAN Zhiliang校友 · PhD (2022 · 2022	—	National Defense University
Xue Lanqing校友 · PhD (2021 · 2021	—	Ant Financial Services Group Shanghai
LAM Wing Tung校友 · MPhil · 2021	—
Farhan Khawar校友 · PhD (2020 · 2020	—
Chen Zhourong校友 · PhD (2019 · 2019	—	Bytedance Shanghai, formerly at Google USA
Li Xiaopeng校友 · PhD (2019 · 2019 LinkedIn · GitHub GitHub 关注 39 Stars 244	2019 HKUST PhD, CSE	代码 LLM、生成式 AI、Amazon CodeWhisperer 与 Amazon Q Google Cloud AI · Research Intern2018 Senior Applied Scientist, Amazon AWS
Leung Chun Fai校友 · MPhil (2018 · 2018	—	Hong Kong Startup
Chen Peixian校友 · PhD · 2017	—	Shanghai, Ant Financial Services Group
Liu April Hua校友 · PhD · 2015	—	Assistant Professor, Shanghai University of Finance and Economics
Liu Tengfei校友 · PhD · 2015	—	Senior Data Mining Engineer, Ant Financial Services Group
Leonard Kin Man Poon校友 · PhD · 2012	—	Machine Learning Scientist, Barings, London
Wang Yi校友 · PhD · 2009	—	Staff Technologist, Rolls-Royce, Singapore
Chen Tao校友 · PhD · 2008	—	Director of Security and Risk Management, Ant Financial Service Group
Sam P. M. Choi校友 · PhD	—	Assistant Professor, Hong Kong Open University
Weihong Zhang校友 · PhD	—	CEO, Cmind , Boston
Haipeng Guo校友 · Postdoc	—	Professor, Computer Science and Technology, United International College, Zhuhai
Zhang Jianfeng校友 · visiting scholar 2017 · 2017	—
Zhou Xuezhong校友 · visiting scholar 2016 · 2016	—
Wang Xiaofei校友 · visiting scholar 2014 · 2014	—
Xu Zhaoxia校友 · visiting scholar 2012 · 2012	—
Chen Mingxing校友 · MPhil	—
Li Yan校友 · MPhil	—
Hua Dong校友 · MPhil	—
Lee Siu Shan Stephen校友 · MPhil	—
Wenju Liu校友 · Postdoc	—
WANG, Xiasi校友 · PhD, IIP (Data Science and Analytics) · 2026	2026 HKUST PhD, IIP (Data Science and Analytics)	共同指导
LIU, Xuantong校友 · PhD, IIP (Data Science and Analytics) · 2025	2025 HKUST PhD, IIP (Data Science and Analytics)	共同指导

教育与履历

教育背景

1983
University of Electronic Science and Technology of China
BSc, Applied Mathematics
1986
Beijing Normal University
MSc, Applied Mathematics
1989
Beijing Normal University
PhD, Applied Mathematics
1994
University of British Columbia
PhD, Computer Science

任职经历

HKUST
Professor

学术服务

资深概率 AI 与机器学习教师，长期学术服务和潜结构研究可核对。

业界合作与实习

合作机构: 0家
合作记录: 0条
成员产业经历: 1条

成员实习与产业经历

2018
Li Xiaopeng · Google Cloud AI
Research Intern；HKUST 博士阶段（2014–2019）；Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用45P45

h-index47P47

2024–2026 论文35P35

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 257 篇 · i10-index 67 · 截至 2026-10-17

Sunil ARYA

安雅信

Associate Professor

个人主页 · 学校档案 · 档案

博士毕业于: University of Maryland · 1995
研究主线: Algorithms；Data structures and computational geometry

累计引用: 5,340次
h-index: 26
2024–2026 论文: 6篇
在组成员: —人

研究方向

从 approximate nearest neighbor、Voronoi 与 proximity data structures，发展到 polytope approximation、convex covering，2025–2026 深入 Hilbert/Funk 非欧几何。

长期几何结构与最优近似界

多篇围绕 convex-body covering、polar dual、Macbeath regions 相互推进，2026 给非欧几何公式。

代表论文与近期发表

2024Economical Convex Coverings and ApplicationsSIAM Journal on Computing；SODA 2023 前版

研究问题: 一般凸体是否存在维度因子更小的近似 covering。
核心方法: 构造 centrally symmetric coverings，应用到 polytope、CVP 和 integer programming。
实验结果: 覆盖规模达到 2^O(n)/ε^((n−1)/2)，ε 依赖最优。
实验条件与边界: 维度仍有指数因子；实例最优也允许 2^O(n) 因子。
课题组研究线: 将几何覆盖作为多个近似算法的公共基础。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Optimal Volume-Sensitive Bounds for Polytope ApproximationDiscrete & Computational Geometry

研究问题: diameter-based polytope bound 对细长凸体过松。
核心方法: 用 polar dual、harmonic-mean intermediate body 与相对 fatness 分析。
实验结果: facet 数可由 volume diameter 取代 ordinary diameter，体积单参数下 tight up to constants。
实验条件与边界: 固定维度，常数依赖维度，误差是 Hausdorff。
课题组研究线: 延续凸体形状敏感的最优复杂度。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2026Cauchy's Surface Area Formula in the Funk GeometrySoCG

研究问题: 经典 Cauchy surface-area formula 在非欧几何的对应。
核心方法: 以到边界点的 central projections 建立 Holmes–Thompson 面积公式。
实验结果: polytope 情形化为顶点加权和，并推出 Funk 的 Crofton generalization。
实验条件与边界: 结果针对指定 Funk geometry 与面积定义；属于理论公式。
课题组研究线: 将此前凸几何路线拓展到统一几何框架。
核阅章节: Abstract、Introduction（开头）

2024–2026 论文目录（共 6 篇）

2026 年3 篇

2025 年2 篇

2024 年1 篇

2024 · SIAM J. Comput.Economical Convex Coverings and Applications

实验室与成员

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Algorithms；Data structures and computational geometry

教育与履历

教育背景

1986
IIT Kanpur
BTech, Computer Science and Engineering
1990
University of Maryland
MSc, Computer Science
1995
University of Maryland
PhD, Computer Science

任职经历

1995-08–
HKUST CSE
Faculty; currently Associate Professor
Max Planck Institute for Informatics, Saarbrücken
Visiting researcher

学术服务

长期计算几何与近似最近邻算法研究者。

主页链接 ANN approximate nearest-neighbor library；论文表列 1998 JACM An optimal algorithm for approximate nearest neighbor searching。

学术影响与网络关注

计算标准

院系样本分位

累计引用52P52

h-index38P38

2024–2026 论文23P23

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 107 篇 · i10-index 42 · 截至 2026-10-17

Brahim BENSAOU

彭卲邦

Associate Professor

个人主页 · 学校档案 · 档案

博士毕业于: Pierre and Marie Curie University · 1993
研究主线: Computer networking；Computer systems networking and telecommunications；Data center networks；Network resource management；Wireless networking；Information-centric networking；Energy efficiency / resource allocation

累计引用: 3,411次
h-index: 28
2024–2026 论文: 5篇
在组成员: 1人

研究方向

Computer networking
Computer systems networking and telecommunications
Data center networks
Network resource management
Wireless networking
Information-centric networking
缓存、routing、content peering、congestion control 与 PIT 容量分析。
Energy efficiency / resource allocation
WiFi、无线接入、车联网和数据中心资源规划。

博士阶段 teletraffic 与高速网络研究，后续持续资源分配、QoS、无线接入和 ICN。近年数据中心线围绕 incast、buffer bloating、短流完成时间与长流吞吐，2019/2023 hysteresis 工作连接到 CASH、R-CASH；ICN 线保留 PIT dimensioning 与缓存模型。

队列与资源控制机制、模型分析和系统原型结合

FairQ 给稳定性与原型证据，PIT 研究给 CTMC 与近似，CASH 系列继续同一网络问题。

代表论文与近期发表

2024Alleviating Congestion via Switch Design for Fair Buffer Allocation in DatacentersIEEE Transactions on Cloud Computing

研究问题: 混合短流、长流与小 switch buffers 引发 incast 和 buffer bloating；多租户环境难统一修改端系统 TCP。
核心方法: FairQ 使用 switch-based AQM、活跃流计数与 TCP receiver window 分配公平 buffer share，给出稳定性分析及三种软硬件实现。
实验结果: NS-2 与小型 testbed 提供吞吐、公平性和短流 FCT 改善；tail FCT 在论文场景最高减少两个数量级。
实验条件与边界: 网络规模、负载和 hard/software 实现决定可迁移范围。
课题组研究线: 长期 TCP/queue-management 机制的延续。
核阅章节: Abstract（公共全文抽取）、Introduction

2024Dimensioning the pending interest table in content-centric networksFuture Generation Computer Systems；2023 年在线发表

研究问题: CCN router 的 PIT 容量需考虑 interests 聚合、超时、丢包与重传。
核心方法: 建立 PIT occupancy 的 continuous-time Markov chain，结合 state-space truncation、state aggregation 形成可计算近似。
实验结果: 基于真实型流量条件验证模型与近似，支持根据 blocking、timeout 与重传需求配置 PIT。
实验条件与边界: 已读摘要及引言；大状态空间依赖近似，Markov 假设的适用性与所测流量条件相连。
课题组研究线: 延续 information-centric networking 的缓存、路由与拥塞研究。
核阅章节: Abstract（公共 PDF 全文抽取）、Introduction（开头）

2025CASH: Class-aware AQM via in-Switch Hysteresis Control for Data Center NetworksINFOCOM Workshops

研究问题: 大流占据 buffer 导致短流丢包和 FCT 增大。
核心方法: 来源主机以 ToS 标记流类别，交换机用三阈值、四区域 hysteresis 决定各类速率，并改 TCP ACK 的 Rwnd。
实验结果: 公开摘要报告降低短流 FCT、缓解 incast 与 buffer bloating；摘要未给可引用的幅度。
课题组研究线: 将已有 hysteresis 拓展为 class-aware control。
核阅章节: Abstract（公开摘要，全文未获）

2026R-CASH: Receiver-assisted Class-aware AQM via in-Switch Hysteresis Control for Data Center NetworksIEEE ICC

研究问题: class-aware AQM 需要兼顾短流保护与长流持续吞吐。
核心方法: 来源主机分类，交换机将 queue state 编码进两位 ToS，接收端按状态限制 ACK Rwnd。
实验结果: 公开摘要称小型 testbed 改善短流 FCT 并维持长流吞吐。
课题组研究线: 由集中 switch 控制延伸到 receiver-assisted control。
核阅章节: Abstract（公开摘要，全文未获）

2024–2026 论文目录（共 5 篇）

2026 年1 篇

2026 · ICCR-CASH: Receiver-assisted Class-aware AQM via in-Switch Hysteresis Control for Data Center Networks

2025 年1 篇

2025 · INFOCOM WKSHPSCASH: Class-aware AQM via in-Switch Hysteresis Control for Data Center Networks

2024 年3 篇

实验室与成员

博士生: 1

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Computer networking；Computer systems networking and telecommunications；Data center networks；Network resource management；Wireless networking；Information-centric networking；Energy efficiency / resource allocation

在组成员1

成员

教育背景

研究方向与经历

Waheed Gameel Gadallah GhaliJoint PhDCSE

Assiut University

BSc, Information Technology

Assiut University

MSc, Information Technology

wireless and data-centre networking

与 QMUL Ahmed M. A. Sayed 联合指导

校友与去向1

成员

教育背景

研究方向与经历

Ahmed M. A. Sayed (Ahmed M. Abdelmoniem)校友 · PhD

HKUST

PhD, CSE

networked and distributed systems

Associate Professor, Queen Mary University of London；此前 Huawei HK Senior Researcher、KAUST Research Scientist

教育与履历

教育背景

1993
Pierre and Marie Curie University
PhD, Computer Science
导师 Guy Pujolle；James W. Roberts

任职经历

HKUST CSE
Associate Professor
Centre for Wireless Communications, Singapore
Senior Member of Technical Staff; Networks group leader
France Telecom Research Labs
PhD research, high-speed networks teletraffic group

学术服务

资源分配、teletraffic、QoS 与数据中心拥塞控制的长期研究者。

学术影响与网络关注

计算标准

院系样本分位

累计引用42P42

h-index45P45

2024–2026 论文21P21

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 218 篇 · i10-index 67 · 截至 2026-10-17

Qifeng CHEN

陳启峰

Associate Professor

个人主页 · 学校档案 · 档案

实验室: Qifeng Chen 研究组
博士毕业于: Stanford University · 2017
研究主线: 视觉生成与编辑；视觉感知与恢复；机器人与自动驾驶

累计引用: 11,563次
h-index: 50
2024–2026 论文: 157篇
在组成员: 32人

研究方向

视觉生成与编辑
图像、视频、3D 合成，交互编辑和可控生成。
视觉感知与恢复
图像处理、可逆表示、低层视觉和 sensing。
机器人与自动驾驶
安全感知、VLA 和机器人系统；兼属 CSE、ECE 并联系 Robotics Institute。

官网长期主题包含图像恢复、生成和安全感知。CoDeF 用视频表示保持时序一致，MagicQuill 将生成模型接入直接操纵界面，AudioX 将条件生成扩展到音频。VLA 招聘显示具身方向在推进，公开信息不足以衡量该方向占全组的比例。

生成表示与可用系统并行

代表作同时处理低层表示、精确控制和交互入口，视觉与机器人分支需要按学生项目分别判断。

代表论文与近期发表

2024CoDeF: Content Deformation Fields for Temporally Consistent Video ProcessingCVPR 2024，Highlight

研究问题: 图像处理算法逐帧应用到视频时难以保持一致性。
核心方法: 联合优化 canonical content field 和 temporal deformation field，在规范图像执行图像算法后通过形变传播。
实验结果: 作者展示 image-to-image 到 video-to-video、检测到跟踪的迁移，并报告更好的跨帧一致性，包括水和烟等非刚体。
实验条件与边界: 每个目标视频仍需优化表示；摘要中的无需训练指复用图像算法，不能理解为零优化。
课题组研究线: 以表征减少跨帧不一致，延续低层视觉与生成连接。
核阅章节: Abstract（完整摘要）

2025MagicQuill: An Intelligent Interactive Image Editing SystemCVPR 2025（HKUST faculty profile）

研究问题: 图像编辑需要把精细意图迅速转为受控操作。
核心方法: 使用轻量界面捕捉插入、擦除、改色动作，MLLM 推断意图，双分支插件控制 diffusion。系统分 Editing Processor、Painting Assistor、Idea Collector；Draw&Guess 用 MLLM 解析笔画，实验证据区分边缘色彩控制、意图预测和界面可用性。
实验结果: 作者实验报告高质量编辑并开放交互系统演示。
实验条件与边界: 结论将 reference-based editing、layered image generation 与 typography 列为未来工作，当前版本的编辑能力边界应保留。
课题组研究线: 将生成能力推进到显式交互的视觉工具。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Conclusion（完整）

2026AudioX: A Unified Framework for Anything-to-Audio GenerationICLR 2026（HKUST faculty profile）；所读 v3

研究问题: 音频与音乐生成需统一处理文本、视频、音频控制条件并获得高质量训练数据。
核心方法: Multimodal Adaptive Fusion 汇合条件；构建超过 7M 样本的 IF-caps。
实验结果: 作者报告多类音频任务提升，尤其 text-to-audio 与 text-to-music。
实验条件与边界: v3 与初稿题名相同、数据描述更新；本档只采用已读 v3，不混用早期数值。
课题组研究线: 从视觉可控生成扩展到跨模态媒体生成。
核阅章节: Abstract（完整摘要）

2026OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-ManipulationCoRL 2026（项目页已列录用）

研究问题: 人形机器人需要将单个搬运、推动、踢动技能串联成长时程行为，并在失误后恢复。
核心方法: Contact Flow 用身体关键点轨迹和二值接触时序表示技能。底层 CF-Track 负责执行，中层 CF-Gen 根据物体规则和接触锚点规划与重规划；高层 VLM 可输出物体起止位姿。另收集动作捕捉人—物交互数据。
实验结果: 引言报告相较基线改善单技能、长时任务和技能组合；约 40 分钟连续搬箱压力测试、掉落恢复和基于语义的箱子布置提供系统展示。摘要报告 Carry Box 成功率 98.7%、Push-Stack Boxes 为 76.5%。
实验条件与边界: 欠驱动夹爪限制精细操作；规则式 CF-Gen 难处理高度动态场景。替换成可学习的接触生成器、灵巧手和自然人类视频学习均列作后续方向。
课题组研究线: 通过可解释中间表示连接视觉语义、对象感知和闭环控制，补足其机器人方向的实际内容证据。
核阅章节: Abstract（完整）、1 Introduction（完整，含比较表）、5 Conclusion and Discussion（完整）

2024–2026 论文目录（共 157 篇）

2026 年54 篇

2025 年61 篇

2024 年42 篇

实验室与成员

Qifeng Chen 研究组

博士生: 25
硕士生: 7

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

视觉生成与编辑；视觉感知与恢复；机器人与自动驾驶

在组成员32

成员	教育背景	研究方向与经历
Jiaqi TangPhD, ECE · 2025– Google Scholar · GitHub · LinkedIn · X · DBLP · ORCID · OpenAlex DBLP 近三年 29 OpenAlex 近三年 19 引用 17 h-index 1 GitHub 关注 34 Stars 860	2022 Northwestern Polytechnical University BEng, Data Science and Big Data Technology 2025 HKUST (Guangzhou) MPhil, AI 2025– HKUST PhD, ECE	LLM、多模态长时推理、递归改进、稳健性与安全 Tencent Hunyuan (LLM) · Research Intern Tencent Hunyuan (Multimodal RL) · Research Intern DeepRoute · Research Intern Sony · Research Intern Alibaba ATH · Research Intern SmartMore · Research Intern
Hanlin WangPhD, CSE	—
Xuanhua HePhD, CSE	The Hong Kong University of Science and Technology PhD in Computer Science and Engineering
I Chieh ChenPhD, CSE	—
Yue MaPhD, CSE GitHub · LinkedIn · Google Scholar GitHub 关注 605 Stars 3,992	Taiyuan University of Technology BEng, Computer Science 2024 Tsinghua University MS, Computer Science	图像视频生成、世界模型与可控 AIGC Meta · Research Intern Baidu · Research Intern Tencent AI Lab · Research Intern Tencent Hunyuan · Research Intern
Runyi YuPhD, CSE GitHub · Google Scholar GitHub 关注 102 Stars 351	2021 Beijing Normal University Bachelor 2024 Peking University Master	人形机器人、物理动画、视觉生成 Microsoft Research Asia · Research Intern
Zichen LiuPhD, CSE · 2023– GitHub GitHub 关注 109 Stars 518	2023 HKUST BSc, Data Science and Technology 2023–2027 expected HKUST PhD, CSE	交互式图像编辑、可控生成、实时视觉与世界模型 Apple · Machine Learning Engineer Intern2023-06–2023-08 Ant Group · Research Intern2024-06–
Trung Kien PhamPhD, CSE DBLP · ORCID · OpenAlex DBLP 近三年 9 OpenAlex 近三年 2 引用 0 h-index 0	HKUST BSc, Data Science and Computer Science 2024 HKUST MPhil 2024 HKUST MPhil, CSE	扩散模型、图像组合、视频生成 GMO-Z.com RUNSYSTEM · AI Intern2020-03–2020-05 viAct · AI Trainee2021-03–2021-08 co-supervised with Long Chen；共同指导
Nicholas ChanPhD, ECE	—
Yuen-Fui LauPhD, CSE	2024 HKUST MPhil
Zhefan RaoPhD, CSE	2023 HKUST MPhil
Zhaoyang LiuPhD, CSE	—
Qingyan BaiPhD, CSE	—
Na FanPhD, CSE	—
Zian QianPhD, CSE	2022 HKUST MPhil
Tianjia ZhangPhD, IIP	—
JIA, YifeiPhD, CSE	—
KE, LeiPhD, Arts and Machine Creativity	—	共同指导
LU, YichongPhD, CSE	—
WANG, YifanPhD, CSE	—
XU, ShuangjiePhD, CSE	—
ZHAO, YaqiPhD, CSE	—
XI, ZichenPhD, IIP	—	共同指导
ZHA, JiajunPhD, IIP	—	共同指导
ZHENG, MingzhePhD, IIP	—	共同指导
CHAN, Nga TengMPhil, CSE	—
FANG, PengjunMPhil, CSE	—
LI, JiajunMPhil, CSE	—
LIN, YiMPhil, CSE	—
MORSI, Mohamed Sobhy MohamedMPhil, CSE	—
RUAN, JunhongMPhil, CSE	—
WU, Kam ManMPhil, CSE	—

校友与去向45

成员	教育背景	研究方向与经历
Guotao Meng校友 · PhD, ECE · 2026	2026 HKUST PhD, ECE
Hongyu Liu校友 · PhD, CSE · 2026 Google Scholar · GitHub · X GitHub 关注 165 Stars 1,055	2026 HKUST PhD, CSE	视频生成、世界模型后训练、人本多模态空间智能
Runtao Liu校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE
Zhili Chen校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE
Qiang Wen校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE
Ka Leong Cheng校友 · PhD, CSE · 2025 Google Scholar · GitHub GitHub 关注 51 Stars 144	2025 HKUST PhD, CSE
Yueqi Xie校友 · PhD, CSE · 2025 Google Scholar · GitHub GitHub 关注 70 Stars 264	2025 HKUST PhD, CSE
Jiapeng Zhu校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
Chao Zhao校友 · PhD, ECE · 2025 Google Scholar	University of Birmingham Master 2025 HKUST PhD 2025 HKUST PhD, ECE	灵巧手、触觉多模态、人形机器人长时自主性 Assistant Professor, Jilin University
Jingye Chen校友 · PhD, CSE · 2025 Google Scholar · GitHub GitHub 关注 248 Stars 115	2019 Fudan University BSc, Computer Science 2022 Fudan University Master, Computer Science 2022–2026 HKUST PhD, Computer Science 2025 HKUST PhD, CSE	文字与图像生成、世界模型 Johns Hopkins University · Summer Intern2021-04–2021-09 Microsoft Research Asia · Research Intern2022-02–2022-07；2022-12–2024-02；2024-11–2025-07 Adobe Research · Research Intern2024-04–2024-08 Canva Research · Research Intern2025-07–2025-11 Ant Group Research，世界模型与视频生成
Junming Chen校友 · PhD, IIP (AI) · 2025	2025 HKUST PhD, IIP (AI)
Yingqing He校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)
Junhao Cai校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)
Jun Cen校友 · PhD, IIP (Robotics and Autonomous Systems) · 2024 Google Scholar · GitHub · LinkedIn GitHub 关注 145 Stars 1,109	2019 Zhejiang University BEng, Mechatronics Engineering 2020 HKUST MSc, Mechanical Engineering 2024 HKUST PhD, Robotics 2024 HKUST PhD, IIP (Robotics and Autonomous Systems)	具身 AI、世界动作模型、自动驾驶与三维分割 Hikvision · Algorithm Intern2020-03–2020-07 Alibaba Tongyi Lab · Research Intern2022-03–2023-03 MSRA · Research Intern2023-08–2024-05 Alibaba DAMO Academy · Algorithm Expert2024-08–2026-01 JD Explore Academy · Researcher2026-02– Researcher, JD Explore Academy
Maosheng Ye校友 · PhD, CSE · 2024	2024 HKUST PhD, CSE
Liya Ji校友 · PhD, IIP (Robotics and Autonomous Systems) · 2024	2024 HKUST PhD, IIP (Robotics and Autonomous Systems)
Chenyang Qi校友 · PhD, CSE · 2024 简历 · Google Scholar · GitHub GitHub 关注 93 Stars 1,255	Zhejiang University BEng, Electrical Engineering 2024 HKUST PhD 2024 HKUST PhD, CSE	多模态生成、交互式高分辨率视频 Microsoft Research Asia · Research Intern2022-06–2022-12 Google Research · Student Researcher2023-07–2023-11 Tencent AI Lab · Research Intern2023-01–2023-06 Adobe Research / Firefly · Research Intern2024-01–2024-04 Tencent · Research Scientist2024–2025 Google · Research Scientist2026– Research Scientist, Google Gemini Omni
Jiaxin Xie校友 · PhD, CSE · 2024 GitHub · Google Scholar GitHub 关注 36 Stars 252	2018 Wuhan University Bachelor 2024 HKUST PhD 2024 HKUST PhD, CSE	三维视觉、深度估计和图像恢复
Yazhou Xing校友 · PhD, CSE · 2024	2024 HKUST PhD, CSE
Rongrong Gao校友 · PhD, CSE · 2024	2024 HKUST PhD, CSE
Hao Ouyang校友 · PhD, CSE · 2024 GitHub GitHub 关注 95 Stars 119	CUHK Bachelor 2020 HKUST MPhil 2024 HKUST PhD 2024 HKUST PhD, CSE	生成模型、世界模型和图像编辑 Google Research · Research Intern Microsoft Research Asia · Research Intern Ant Research · Research Intern Tencent · Research Intern SenseTime · Research Intern Research Scientist, Ant Group
Zifan Shi校友 · PhD, CSE · 2024	Nanjing University Bachelor 2024 HKUST PhD, CSE	世界模型、三维与四维生成 ByteDance · Research Intern2021-09–2022-05 Ant Research · Research Intern2022-06–2023-04 Adobe Research · Research Scientist Intern2023-05–2023-08 Research Scientist, Adobe Research co-supervised with Dit-Yan Yeung；共同指导
Tengfei Wang校友 · PhD, CSE · 2023 GitHub · Google Scholar · LinkedIn · DBLP · ORCID · OpenAlex DBLP 近三年 40 OpenAlex 近三年 39 引用 1,319 h-index 14 GitHub 关注 358 Stars 1,016	2023 HKUST PhD, CSE
Yue Wu校友 · PhD, CSE · 2023 DBLP · ORCID · OpenAlex DBLP 近三年 4	2023 HKUST PhD, CSE
Chenyang Lei校友 · PhD · 2022 GitHub GitHub 关注 260 Stars 2,096	—
Yisheng He校友 · PhD · 2022 Google Scholar · GitHub	—
Haoran Song校友 · PhD · 2021 简历 · Google Scholar	2016 Harbin Institute of Technology BEng 2021 HKUST PhD, Robotics	自动驾驶预测、规划、端到端驾驶 Huawei ADS · Principal Engineer2021–2024 Horizon Robotics · 研发2024– Horizon Robotics；DrivePath 与 DriveTraj 研发 co-supervised with Michael Wang
Weihao Yuan校友 · PhD · 2020 Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 45 OpenAlex 近三年 45 引用 1,168 h-index 15	Zhejiang University Bachelor, Automation; Minor in Finance 2020 HKUST PhD, Robotics	具身 AI、机器人强化学习、三维视觉 Alibaba Tongyi Lab · Multimodal Researcher Tenure-track Associate Professor, Nanjing University co-supervised with Michael Wang
Chan Ho Park校友 · MPhil, CSE · 2023	2023 HKUST MPhil, CSE
Zhao-heng Yin校友 · MPhil, ECE · 2023	2023 HKUST MPhil, ECE
Yuxiang He校友 · MPhil · 2023	—
Hyukryul Yang校友 · MPhil · 2020	—
Yuezhang Liu校友 · MPhil · 2021	—
Ching-Pui Wan校友 · MPhil · 2021	—
Chang Dae Park校友 · MPhil · 2021	—
Ji Hyeong Yoo校友 · MPhil · 2021	—
Minsoo Khang校友 · MPhil · 2022	—
Ka Ho Lee校友 · MPhil · 2022	—
FANG, Biqing校友 · PhD, IIP (AI) · 2026	2026 HKUST PhD, IIP (AI)	共同指导
YANG, Xin校友 · PhD, IIP (AI) · 2026	2026 HKUST PhD, IIP (AI)	共同指导
LI, Mingdong校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)	共同指导
LIU, Hongji校友 · PhD, IIP (Robotics and Autonomous Systems) · 2025	2025 HKUST PhD, IIP (Robotics and Autonomous Systems)	共同指导
CHENG, Jie校友 · PhD, ECE · 2024	2024 HKUST PhD, ECE
ZHAN, Dekun校友 · MPhil, ECE · 2024	2024 HKUST MPhil, ECE
WANG, Qijun校友 · MPhil, IIP (AI) · 2023	2023 HKUST MPhil, IIP (AI)	共同指导

教育与履历

教育背景

2012
The Hong Kong University of Science and Technology
Bachelor, Computer Science and Mathematics
2017
Stanford University
PhD, Computer Science

任职经历

2024–
HKUST
Associate Professor, CSE and ECE
HKUST
Assistant Professor

学术服务

视觉生成与机器人方向的副教授，2024 年主页确认获 tenure。

业界合作与实习

合作机构: 4家
合作记录: 4条
成员产业经历: 39条

UQI Tecnology Co., Ltd.；Adobe Systems Incorporated；TCL Corporate Research (Hong Kong) Co., Limited；Shenzhen Annet Information System, Co., Ltd.

UQI Tecnology Co., Ltd. 资助研究项目
计算机视觉与具身智能；负责人；2026–
Adobe Systems Incorporated 资助研究项目
视觉智能基础研究；负责人；2023–
TCL Corporate Research (Hong Kong) Co., Limited 资助研究项目
与 Innovation and Technology Fund 联合资助超分辨率视频增强；负责人；2023–2026
Shenzhen Annet Information System, Co., Ltd. 资助研究项目
多模态乳腺癌筛查、诊断与疗效预测；参与；2023–2026

成员实习与产业经历

2020-03–2020-05
Trung Kien Pham · GMO-Z.com RUNSYSTEM
AI Intern；本科阶段；早于 2024 年博士入学；AI Intern
2020-03–2020-07
Jun Cen · Hikvision
Algorithm Intern；Tongyi 与 MSRA 在博士阶段；Hikvision 在硕士阶段；Alibaba 与 JD 全职工作始于毕业前后；Algorithm Intern
2021-03–2021-08
Trung Kien Pham · viAct
AI Trainee；本科阶段；早于 2024 年博士入学；AI Trainee
2021-04–2021-09
Jingye Chen · Johns Hopkins University
Summer Intern；MSRA 首段与 JHU 在博士入学前；2022-12 起 MSRA、Adobe 和 Canva 经历在 HKUST 博士阶段；Summer Intern
2021-09–2022-05
Zifan Shi · ByteDance
Research Intern；HKUST 博士阶段；2023-10–2024-03 另赴 Stanford 访问；Research Intern
2021–2024
Haoran Song · Huawei ADS
Principal Engineer
2022-02–2022-07；2022-12–2024-02；2024-11–2025-07
Jingye Chen · Microsoft Research Asia
Research Intern；MSRA 首段与 JHU 在博士入学前；2022-12 起 MSRA、Adobe 和 Canva 经历在 HKUST 博士阶段；Research Intern
2022-03–2023-03
Jun Cen · Alibaba Tongyi Lab
Research Intern；Tongyi 与 MSRA 在博士阶段；Hikvision 在硕士阶段；Alibaba 与 JD 全职工作始于毕业前后；Research Intern
2022-06–2022-12
Chenyang Qi · Microsoft Research Asia
Research Intern；四段实习均发生在 2024 年博士毕业前；Research Intern
2022-06–2023-04
Zifan Shi · Ant Research
Research Intern；HKUST 博士阶段；2023-10–2024-03 另赴 Stanford 访问；Research Intern
2023-06–2023-08
Zichen Liu · Apple
Machine Learning Engineer Intern；Ant Group 为 2023 年博士入学后的经历；Apple 为本科毕业当年；Machine Learning Engineer Intern
2023-08–2024-05
Jun Cen · MSRA
Research Intern；Tongyi 与 MSRA 在博士阶段；Hikvision 在硕士阶段；Alibaba 与 JD 全职工作始于毕业前后；Research Intern
2023-01–2023-06
Chenyang Qi · Tencent AI Lab
Research Intern；四段实习均发生在 2024 年博士毕业前；Research Intern
2023-05–2023-08
Zifan Shi · Adobe Research
Research Scientist Intern；HKUST 博士阶段；2023-10–2024-03 另赴 Stanford 访问；Research Scientist Intern
2023-07–2023-11
Chenyang Qi · Google Research
Student Researcher
2024-06–
Zichen Liu · Ant Group
Research Intern；Ant Group 为 2023 年博士入学后的经历；Apple 为本科毕业当年；Research Intern
2024-04–2024-08
Jingye Chen · Adobe Research
Research Intern；MSRA 首段与 JHU 在博士入学前；2022-12 起 MSRA、Adobe 和 Canva 经历在 HKUST 博士阶段；Research Intern
2024-01–2024-04
Chenyang Qi · Adobe Research / Firefly
Research Intern；四段实习均发生在 2024 年博士毕业前；Research Intern
2024-08–2026-01
Jun Cen · Alibaba DAMO Academy
Algorithm Expert
2024–2025
Chenyang Qi · Tencent
Research Scientist
2024–
Haoran Song · Horizon Robotics
研发
2025-07–2025-11
Jingye Chen · Canva Research
Research Intern；MSRA 首段与 JHU 在博士入学前；2022-12 起 MSRA、Adobe 和 Canva 经历在 HKUST 博士阶段；Research Intern
2026-02–
Jun Cen · JD Explore Academy
Researcher
2026–
Chenyang Qi · Google
Research Scientist
Jiaqi Tang · Tencent Hunyuan (Multimodal RL)
Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern；Research Intern
Jiaqi Tang · DeepRoute
Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern
Jiaqi Tang · Sony
Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern
Jiaqi Tang · Alibaba ATH
Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern
Jiaqi Tang · SmartMore
Research Intern；个人主页列出历次实习；2025 年转入清水湾 ECE 博士阶段；Research Intern
Yue Ma · Meta
Research Intern；成员个人主页所列经历；Research Intern
Yue Ma · Baidu
Research Intern；成员个人主页所列经历；Research Intern
Yue Ma · Tencent Hunyuan
Research Intern；成员个人主页所列经历；Research Intern；Research Intern
Runyi Yu · Microsoft Research Asia
Research Intern；成员个人主页所列经历；Research Intern
Hao Ouyang · Google Research
Research Intern；成员个人主页所列经历；Research Intern
Hao Ouyang · Microsoft Research Asia
Research Intern；成员个人主页所列经历；Research Intern
Hao Ouyang · Ant Research
Research Intern；成员个人主页所列经历；Research Intern
Hao Ouyang · Tencent
Research Intern；成员个人主页所列经历；Research Intern
Hao Ouyang · SenseTime
Research Intern；成员个人主页所列经历；Research Intern
Weihao Yuan · Alibaba Tongyi Lab
Multimodal Researcher

学术影响与网络关注

计算标准

院系样本分位

累计引用76P76

h-index72P72

2024–2026 论文94P94

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 354 篇 · i10-index 129 · 截至 2026-10-17

Xiaojuan MA

麻曉娟

Associate Professor

个人主页 · 学校档案 · 档案

实验室: Xiaojuan Ma 研究组
博士毕业于: Princeton University · 2010
研究主线: Human-engaged AI；对话与机器人；健康、教育、创作与沉浸交互

累计引用: 6,841次
h-index: 43
2024–2026 论文: 100篇
在组成员: 21人

研究方向

Human-engaged AI
AI 辅助决策、依赖与信任、协作与社会互动。
对话与机器人
对话 agent、社交信号、human-robot interaction。
健康、教育、创作与沉浸交互
Affective computing、AR/VR、数据与设计学习、医疗沟通及创作。

公开研究长期关注人的参与、情绪、协作与解释。2024 DiscipLink 支持跨学科信息探索，2025 Deliberative AI 对人机分歧做细粒度讨论，2026 混合团队研究直接检验 bot 身份对群体行为的影响。LLM 是交互机制与研究对象，人的行为与自主性维持核心位置。

人类行为问题、原型与实证评价驱动

方法包含质性研究、设计探索、受控实验和系统实现，研究成功标准通常包括用户行为和体验。

代表论文与近期发表

2024DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-ExplorationUIST 2024

研究问题: 跨学科检索受术语差异、知识分散和问题不清晰限制。
核心方法: LLM 生成并允许用户修改探索问题，再扩展学科术语、检索论文、聚类主题和标注关联。被试内研究有 12 位 graduate students，另有 7 位有经验的跨学科研究者使用自身项目做开放探索。
实验结果: 被试内比较实验和开放探索研究支持跨领域知识整合。
实验条件与边界: 实验场景主要与 HCI 相关且持续时间短；工具仍缺文献核验、最终知识整合和完整引用网络探索支持。
课题组研究线: 延续混合主动性和人的探索控制。
核阅章节: Abstract（完整）、1 Introduction（完整）、7 Discussion（完整）、8 Conclusion（完整）

2025Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-MakingCHI 2025，Honorable Mention（教师页）

研究问题: 用户通常只能整体接受或拒绝 AI 建议，分歧中的细节难以交换。
核心方法: 按维度征求观点、讨论证据、更新决定；LLM 作为对话层连接专门预测模型。
实验结果: 研究生录取任务的探索评估报告比传统 XAI 更适当的依赖和更好任务表现。
实验条件与边界: 评估采用特定任务原型。
课题组研究线: 把解释推进为持续互动和共同审议。
核阅章节: Abstract（完整）、HTML 中框架与三层结构说明段

2026Friend, Foe, or Bot? Exploring Intergroup Dynamics in Hybrid Human-Bot TeamsCHI 2026，Best Paper（教师页）

研究问题: AI 队友身份是否披露会怎样改变跨团队偏见和责任分配。
核心方法: StarHarvest 竞争游戏，每队一人一 bot，操纵 bot 披露及亲社会或反社会行为，分析 240 位参与者。
实验结果: 隐藏 bot 提升组内协调并允许不对称报复；披露 bot 被视为次要队友，凝聚力下降、责任转向人类伙伴。
实验条件与边界: 结果限于设计的竞争游戏与身份条件；不直接推广到现实组织或长期团队。
课题组研究线: 由人与单个 AI 的互动扩展到混合群体机制。
核阅章节: Abstract（完整摘要）

2026DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human ReflectionCHI 2026

研究问题: 编剧需要内部角色和外部故事两个层面的可反思反馈。
核心方法: ExReflect 让 agent 先生成角色体验再评价，与 9 位专业编剧形成性研究共同设计。
实验结果: 14 位专业编剧评估报告反馈质量与反思深度提升。
实验条件与边界: 是专业编剧场景的小样本研究；长期创作自主性需另外研究。
课题组研究线: 体现 human-engaged 创作和跨组合作。
核阅章节: Abstract（完整摘要）

2025Signaling Human Intentions to Service Robots: Understanding the Use of Social Cues during In-Person ConversationsCHI 2025；Honorable Mention

研究问题: 当人正在与他人进行主要对话时，服务机器人如何理解低干扰的意图信号。
核心方法: 24 名参与者在 AR 模拟咖啡会谈中，分别扮演说话者和倾听者，通过自然社交线索表达 13 类意图；研究使用 4 种机器人形态、Wizard-of-Oz 控制、回溯出声思考和访谈。
实验结果: 收集 624 个社交线索；观察到会谈角色与语言、手势特征相关，机器人形态影响信号方式、手势位置及用户对感知能力的预期。形成靠近方式、传感器布局和低干扰回应的设计建议。
实验条件与边界: AR 虚拟机器人、坐姿咖啡场景和主要来自本地大学的参与者限制适用范围。每个条件样本较少，研究依赖重复测量和定性解释。真实机器人识别和服务效果仍待验证。
课题组研究线: 直接覆盖人机交互与社交机器人方向；问题来源是人类既有活动中的沟通负荷，方法以行为观察和设计启示为主。
核阅章节: Abstract（完整作者摘要，OpenAlex 索引）、1 Introduction（完整）、5.3 Limitation and Future Work（完整）、6 Conclusion（完整）

2024Technology-Mediated Non-pharmacological Interventions for Dementia: Needs for and Challenges in Professional, Personalized and Multi-Stakeholder Collaborative InterventionsCHI 2024；Best Paper

研究问题: 支持失智症非药物干预的技术如何融入专业人员的日常干预流程和长期使用。
核心方法: 观察 5 场线下非药物干预活动，访谈 11 名治疗师和 5 名照护者，分析工作流程、经验与技术需求。
实验结果: 摘要指出实际干预需要细粒度个体化评估与规划，执行过程情境化且涉及多方协作；既有技术在这些要求上的不足影响持续使用。
实验条件与边界: 本条取得完整作者摘要，ACM 正文页面返回 403。研究提供实践需求和设计方向，未据此宣称干预技术已经产生临床治疗效果。
课题组研究线: 补充健康与多方协作线，说明其研究包含专业实践的实地理解和技术需求建模。
核阅章节: Abstract（完整作者摘要，OpenAlex 索引；原站正文尚未取得）

2024–2026 论文目录（共 100 篇）

2026 年31 篇

2025 年37 篇

2024 年32 篇

实验室与成员

Xiaojuan Ma 研究组

博士生: 18
硕士生: 1
博士后: 2

所在单位: HKUST CSE；含 IIP 共同指导
地点: Clear Water Bay, Hong Kong

Human-engaged AI；对话与机器人；健康、教育、创作与沉浸交互

在组成员21

成员	教育背景	研究方向与经历
Hanfang LyuPhD candidate（2026-07 已通过答辩） · 2022-09–2026-10 GitHub · CV · GitHub · Google Scholar 主页近三年论文 4 GitHub 关注 22 Stars 1	2018-09–2022-06 The Hong Kong University of Science and Technology BSc in Mathematics (Applied Mathematics), Computer Science (Additional Major) First Class Honors。 2022-09–2026-10 The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Xiaojuan Ma 与 Fugee Tsung；2026-07 已通过答辩。 2025-02–2026-05 The Hong Kong University of Science and Technology (Guangzhou) Cross-Campus Study Program 清水湾博士期间的跨校区学习项目。	HRI、HCI、以人为中心的 AI，以及混合现实机器人原型与交互界面。研究如何通过界面与机器人表达获取人类反馈。2022–2024 年在 INAIR Joint Lab 项目开发混合现实示教系统与 FARPLS 偏好标注系统；2024–2026 年研究建筑任务中的人机协作；2025-06 起研究机器型机器人出错时的表达及人类反应。 co-supervised with Prof. Fugee Tsung, since Fall 2022 主页论文4 2026-10-07（PDF 创建日期） 2024 FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers’ Preference Elicitation 2025 Signaling Human Intentions to Service Robots: Understanding the Use of Social Cues during In-Person Conversations 2025 “I Love the Internet Again”: Exploring the Interaction Inception of “TikTok Refugees” Flocking into Rednote 2026 Exploring Aggressors’ InMatch Cognitive and Emotional Formation and Toxic Behavior Trajectories in MOBA Games
Ziqi PanPhD, CSE · 2023-08– CV · GitHub · Instagram 主页近三年论文 7	2019-07–2023-07 Tsinghua University BSc in Computer Science and Technology 2021-10–2022-06 University of Oxford Visiting Student in Computer Science and Philosophy 清华本科期间的全额资助访问。 2023-08– The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Xiaojuan Ma；HKPFS。	HCI、社会计算与交互设计，研究技术如何辅助人与环境、人与人的互动，计划进一步研究具身与实体界面支持的人与自我互动。2020-10–2022-12 在清华 Pervasive Human Computer Interaction Laboratory 跟随 Xin Yi 研究手机挤压手势认证与 VR/AR 交互；2021-12–2022-09 在清华 Institute for Network Science and Cyberspace 研究基于眼动的图像质量评价；2022-10–2023-01 远程参与 CMU CHIMPS Lab 与 Stanford HCI Group 的 SaberIdentity 项目，由 Tianshi Li 与 Jackie Yang 共同指导。 Beijing Uxsino Software Co., Ltd. · Application and Algorithm Developer Intern2022-06–2022-08清华本科期间实习；设计并开发可由用户定义的敏感信息识别系统，使用 BERT-BiLSTM-attention-CRF 与机器学习。主页论文7 2026-02-25（PDF 创建日期） 2025 ACKnowledge: a computational framework for human compatible affordance-based interaction planning in real-world contexts 2025 From Platform Migration to Cultural Integration: the Ingress and Diffusion of #wlw from TikTok to RedNote in Queer Women Communities 2025 “I Love the Internet Again”: Exploring the Interaction Inception of “TikTok Refugees” Flocking into RedNote 2026 AI Clone Companions and “Dream Girl” Fans: How Idol-Based Agents Reshape Parasocial Relationships Across Real and Virtual Domains 2026 Friend, Foe, or Bot? Exploring Intergroup Dynamics in Hybrid Human-Bot Teams 2026 Unpacking the Use of AI-Generated Content in Chinese Online Discourse About Women’s Growth: Tensions and Opportunities 2026 “Without AI, I Would Never Share This Online”: Unpacking How LLMs Catalyze Women’s Sharing of Gendered Experiences on Social Media
Zuyu XuPhD, CSE · since Fall 2023	—
Yuanhao ZhangPhD, CSE · since Fall 2023	—
Assem ZhunisPhD, CSE · since Fall 2024	—
Kangyu YuanPhD, CSE · since Fall 2024	—
Qiaoyi ChenPhD, CSE · since Fall 2024	—
Xuanhui YangPhD, CSE · since Fall 2024	—
Shixu ZhouPhD, CSE · since Fall 2024	Fall 2022 - Summer 2024 HKUST (Guangzhou) MPhil
Yuying TangPhD, IIP · 2024– GitHub GitHub 关注 2 Stars 0	2017–2021 Central Academy of Fine Arts BFA, Film and Television Photography and Production 2021–2024 Tsinghua University MFA, Visual and Information Design 2022–2023 Politecnico di Milano MSc, Communication Design, dual degree 2024– HKUST PhD, IIP 2026–2027 Imperial College London Visiting PhD 2026–2027 University of the Arts London Visiting PhD	创造力、故事表达与人机协作 co-supervise with Prof. Huamin Qu, HKPFS recipient, since Fall 2024；共同指导
Runhua ZhangPhD, IIP · 2024– Google Scholar · X · LinkedIn	2017–2021 Sichuan University BEng, Industrial Design 2021–2024 Tongji University MA, Design 2022–2023 Aalto University Exchange, Arts, Design and Architecture 2024– HKUST PhD, IIP	人机交互、个人反思、游戏化学习与女性主义 HCI co-supervise with Prof. Huamin Qu, since Fall 2024
Weiying LiuPhD, CSE · since Fall 2025	—
Baiqiao ZhangPhD, CSE · since Fall 2025	2025 Shandong University / Australian National University Bachelor, Computer Science and Technology, joint program	人机对齐、记忆、信心、注意力与人格建模，多模态混合主动系统
Bolin ZhaoPhD, CSE · since Fall 2025	HKUST	co-supervised with Prof. Jun Han, since Fall 2025
Yiyao PengMPhil, CSE · since Fall 2025	—	co-supervised with Prof. Yang Wang, since Fall 2025
Tilmann BrunsPhD, CSE · since Spring 2026	—
Jiaxiong HuPost-doctoral Scholar · since Fall 2022	—
Heng ZhangPost-doctoral Scholar · since Spring 2025	—
Yue ZhangPhD, CSE · Summer 2024	Shenzhen University	共同指导
HU, XuningPhD, CSE	—
WANG, SiqiPhD, CSE	—	共同指导

校友与去向74

成员	教育背景	研究方向与经历
Junze Li校友 · PhD, CSE · 2022–2026 Google Scholar · LinkedIn · X · GitHub GitHub 关注 9 Stars 1	2014–2018 UESTC Bachelor, Communication Engineering 2018–2022 EPFL Master, Communication Systems 2021–2022 Ludwig Maximilian University Munich Exchange Master Thesis Research 2022–2026 HKUST PhD, CSE 2026 HKUST PhD, CSE	Roche, Shanghai · Data Scientist Intern2019-07–2019-09 Credit Suisse, Lausanne · Natural Language Processing Intern2021-02–2021-07 Microsoft Research Asia, Beijing · Research Intern2026-02–2026-05
Dingdong Liu校友 · PhD, CSE · 2022–2026 ORCID · Google Scholar · GitHub · LinkedIn · OpenAlex OpenAlex 近三年 9 引用 77 h-index 5 GitHub 关注 5 Stars 4	HKUST Bachelor, Computer Science and Data Science 2022–2026 HKUST PhD, CSE 2026 HKUST PhD, CSE	对话智能体的沟通能力、话轮协调、具身对话和临床访谈 co-supervised with Prof. Fugee Tsung, since Fall 2022
Leye Wang校友 · Post-doctoral Scholar · Fall 2016 - Fall 2018 简历	—	co-mentored with Prof. Qiang Yang, Fall 2016 - Fall 2018, Assistant Professor, Peking University
Yanjun Lyu校友 · Post-doctoral Scholar · Summer 2025 - Spring 2026 LinkedIn · GitHub GitHub 关注 1 Stars 0	—
Zeyu Huang校友 · PhD, CSE · 2021–2025	2025 HKUST PhD, CSE
Qian Zhu校友 · PhD, CSE · 2020–2024 Google Scholar · GitHub · LinkedIn · DBLP · ORCID DBLP 近三年 16 GitHub 关注 78 Stars 681	2024 HKUST PhD, CSE
Shuai Ma校友 · PhD, CSE · 2020–2024	2024 HKUST PhD, CSE
Chengbo Zheng校友 · PhD, CSE · 2020–2024	2024 HKUST PhD, CSE
Qingyu Guo校友 · PhD, CSE · 2020–2024	2024 HKUST PhD, CSE Hong Kong University of Science and Technology
Jiehui Luo校友 · MPhil, CSE · 2022–2024	2024 HKUST MPhil, CSE
Chengzhong Liu校友 · PhD, CSE · 2020–2024	2024 HKUST PhD, CSE
Chuhan Shi校友 · PhD, CSE · 2019–2023 简历 · Google Scholar · GitHub GitHub 关注 1 Stars 0	2023 HKUST PhD, CSE	co-supervise with Prof. Qiong Luo, Fall 2019 - Summer 2023, associate professor @ Southeastern University；共同指导
Reza Hadi Mogavi校友 · PhD, CSE · 2018–2023	2023 HKUST PhD, CSE	co-supervised with Prof. Pan Hui, Winter 2018 - Spring 2023；共同指导
Wenjie Yang校友 · MPhil student · Fall 2020 - Summer 2022 drive.google.com · GitHub GitHub 关注 0 Stars 0	Beijing Forestry University undergraduate
Feng Han校友 · PhD student · Fall 2018 - Spring 2022	Jilin University undergraduate	co-supervised with Prof. Jiheng Zhang, Fall 2018 - Spring 2022, Analyst @ CICC
Zhenhui Peng校友 · PhD student · Fall 2017 - Spring 2021 简历 · Google Scholar	—
Man Ching Ko校友 · TLE MPhil student · Spring 2020 - Spring 2021	—
Zhida Sun校友 · PhD student · Fall 2016 - Summer 2020 Google Scholar · ORCID · GitHub · OpenAlex OpenAlex 近三年 20 引用 493 h-index 11 GitHub 关注 0 Stars 0	—
Zhenjie Zhao校友 · PhD student · Fall 2016 - Summer 2020 GitHub GitHub 关注 33 Stars 33	—
Ziming Wu校友 · PhD student · Fall 2016 - Summer 2020	—
Meng Xia校友 · PhD student · Fall 2017 - Summer 2020	2020 HKUST PhD	人机协作、个性化教育、可视化与学习技术 Assistant Professor, CSE, Texas A&M University；Dream Lab 负责人 co-supervise with Prof. Huamin Qu, SENG Top RPg award recipient, Fall 2017 - Summer 2020, assistant professor @ Texas A&M University, previously postdoc @ KAIST and CMU
Taewook Kim校友 · MPhil student · Fall 2018 - Summer 2020	Hanyang University undergraduate
Mingfei Sun校友 · PhD student · Spring 2016 - Spring 2020 LinkedIn · GitHub · Google Scholar GitHub 关注 104 Stars 241	—
Quan Li校友 · PhD student · Fall 2015 - Fall 2018 DBLP · ORCID DBLP 近三年 76	—	co-supervise with Prof. Huamin Qu, Fall 2015 - Fall 2018, Associate Professor @ ShanghaiTech University
Andrew Cattle校友 · PhD student · Fall 2015 - Summer 2018	—	co-supervised with Prof. Qiang Yang, Fall 2015 - Summer 2018, faculty @ Northeastern University
Emily Yang Yang校友 · TLE MPhil student · 2015-2017	—	co-supervise with Prof. Pascale Fung, 2015-2017, UX Researcher @ Meta
Zeyu Xiong校友 · MPhil student · Fall 2022 - Summer 2024	—	co-supervised with Prof. Mingming Fan, Fall 2022 - Summer 2024, PhD @ ETH
Wenyuan Dai校友 · PhD student · Spring 2018 - Fall 2019	—	co-supervised with Prof. Qiang Yang, Spring 2018 - Fall 2019, General Manager @ 4Paradigm Corp.
Jinliang Deng校友 · MPhil student · Spring 2018 - Spring 2019	—	co-supervised with Prof. Qiang Yang, Spring 2018 - Spring 2019, PhD @ U of Tech, Sydney
Xiang Zhang校友 · MPhil student · Spring 2018 - Spring 2019	—	co-supervised with Prof. Qiang Yang, Spring 2018 - Spring 2019, Machine Learning Engineer @ Tencent
Cassie Lee Dai校友 · Visiting intern · Summer 2024	Harvard University
Qiuxin Du校友 · Visiting intern · Summer 2024	Beijing Institute of Technology
Xiaoyu Wang校友 · Research intern · Summer 2024	HKUST
Yumeng Wang校友 · Research intern · Summer 2024	HKUST undergraduate
Lveyang Zhang校友 · Research intern · Summer 2024	HKUST
Yujing Zhang校友 · Visiting intern · Summer 2024	KTH
Xiyuan Wang校友 · Visiting student · Fall 2023	ShanghaiTech
Laixin Xie校友 · Visiting student · Fall 2023	ShanghaiTech
Sensen Gao校友 · Remote intern student · Summer 2023	Nankai University
Fei Nie校友 · Remote intern student · Summer 2020	HKUST
Hanqi Zhou校友 · Remote intern student · Summer 2020	Ulm University
Siyuan Chen校友 · Remote intern student · Summer 2020	University of Electronic Science and Technology of China
Zhihan Jiang校友 · Remote intern student · Summer 2020	Xiamen University
Yue Yu校友 · Remote intern student · Summer 2020	City University
Muyu Xu校友 · Remote intern student · Summer 2020	HKUST
Tim Ta Ying Cheng校友 · Research intern · Summer 2019	HKUST undergraduate
David Chuan-en Lin校友 · Research intern · Summer 2019	HKUST undergraduate
Yiding Liu校友 · Visiting student · Summer 2019	Hong Kong University undergraduate
Yulun Jiang校友 · Visiting student · Summer 2019	Wuhan University undergraduate
Meiziniu Li校友 · Visiting student · Summer 2019	Huazhong University of Science and Technology undergraduate
Yi Fei Cheng校友 · Visiting student · Summer 2019	Swarthmore College undergraduate
Yuji Zhang校友 · Visiting student · Summer 2019	Southeast University undergraduate
Jungsoo Lee校友 · Exchange student · Spring 2019	Korea University undergraduate
Hyeonjae Kim校友 · Intern student · Summer 2019	Hong Kong University of Science and Technology undergraduate
Sitong Wang校友 · Visiting student · Summer 2019	Chongqing University undergraduate
Ziming Chen校友 · Visiting intern · Summer 2018	Beijing University of Posts and Telecommunications undergraduate
Yunhwan Kwon校友 · Visiting student · Summer 2018	Dongguk University undergraduate
Manuele Reani校友 · Visiting Ph.D. · Spring 2018	University of Manchester
Michelle Wong校友 · Exchange student · Spring 2018	Smith College undergraduate
Jiaan Lu校友 · Exchange · Spring 2018	SJTU undergraduate
Minxuan Gao校友 · Exchange · Spring 2018	Tsinghua University undergraduate
Meng Meng Yan校友 · Visiting student · Summer 2017	KIT MPhil
Yiqing Mou校友 · Intern · Summer 2017	Hong Kong University undergraduate
Jiayue Fan校友 · Visiting intern · Summer 2017	Tsinghua University undergraduate
Mingjie Ye校友 · Visiting intern · Summer 2017	Zhejiang University undergraduate
Gehua Qin校友 · Visiting intern · Summer 2017	SJTU undergraduate
Isabella Flack校友 · Exchange · Fall 2016	University of Warwick undergraduate
Hong Peng校友 · Intern · Fall 2016	Hong Kong University undergraduate
Yuruten Onur校友 · Visiting Ph.D. · Fall 2016	EPFL
Zhehao Zhu校友 · Exchange · Fall 2016	Tsinghua University undergraduate
Wenchang Yang校友 · Visiting intern · Fall 2016	Jilin University undergraduate
Julien Bonnet校友 · Visiting intern · Summer 2016	École Nationale de lAviation Civile (ENAC
Xinyi Fu校友 · Visiting intern · Spring 2016	Tsinghua University
LI, Zisu校友 · PhD, Individualized Interdisciplinary Program (Computational Media and Arts) · 2026	2026 HKUST PhD, Individualized Interdisciplinary Program (Computational Media and Arts)	共同指导

教育与履历

教育背景

2005
Tsinghua University
BSc, Computer Science; Minor in English
2007
Princeton University
MA, Computer Science / HCI
2010
Princeton University
PhD, Computer Science / HCI

任职经历

2006–2007
Educational Testing Service
User Experience Intern
2007
University of British Columbia
Research Intern
2010–2011
NUS
Research Fellow
2011–2012
Carnegie Mellon University
Postdoctoral Scholar, HCII
2012–2015
Huawei Noah’s Ark Lab
Researcher
2015–2021
HKUST
Assistant Professor
2021–
HKUST
Associate Professor

学术服务

以人为中心 AI 和 HCI 的副教授，作品覆盖多种方法与应用，近期论文奖有直接记录。

指导方式与组内生活

公开名册包含长期研究生、博士后、访问实习与跨院系共同指导。

跨学科共同指导

公开名册列出与 Fugee Tsung、Huamin Qu、Jun Han 等教师共同指导的学生及对应起始学期。

业界合作与实习

合作机构: 4家
合作记录: 4条
成员产业经历: 4条

Huawei Noah’s Ark Lab（employment）；Educational Testing Service（internship）

Huawei Noah’s Ark Lab 任职
2012–2015 研究员
Educational Testing Service 研究实习
2006–2007 用户体验实习
Microsoft Research Asia 资助研究项目
面向协作工作与交流的 Agentic Media；负责人；2026–
Starwiz Technology Co. Ltd / Stellerus Technology Limited 资助研究项目
中国空间站温室气体排放源监测；参与；2025–

成员实习与产业经历

2019-07–2019-09
Junze Li · Roche, Shanghai
Data Scientist Intern；MSRA 为 HKUST 博士阶段；Credit Suisse 与 Roche 为 EPFL 硕士阶段；Data Scientist Intern
2021-02–2021-07
Junze Li · Credit Suisse, Lausanne
Natural Language Processing Intern；MSRA 为 HKUST 博士阶段；Credit Suisse 与 Roche 为 EPFL 硕士阶段；Natural Language Processing Intern
2022-06–2022-08
Ziqi Pan · Beijing Uxsino Software Co., Ltd.
Application and Algorithm Developer Intern · 清华本科期间实习；设计并开发可由用户定义的敏感信息识别系统，使用 BERT-BiLSTM-attention-CRF 与机器学习。
2026-02–2026-05
Junze Li · Microsoft Research Asia, Beijing
Research Intern；MSRA 为 HKUST 博士阶段；Credit Suisse 与 Roche 为 EPFL 硕士阶段；Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用59P59

h-index65P65

2024–2026 论文85P85

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 388 篇 · i10-index 166 · 截至 2026-10-17

Wilfred Siu-Hung NG

吳兆鴻

Associate Professor

个人主页 · 学校档案 · 档案

博士毕业于: University of London · 1997
研究主线: Social computing；Web searching；Data analytics；Data modelling；Query languages

累计引用: 4,462次
h-index: 35
2024–2026 论文: 3篇
在组成员: 1人

研究方向

官方历史方向为数据模型、查询语言与 web search；2024–2025 署名工作分别将 GARCH 结构嵌入神经网络、改进 sequential recommendation 的 attention 稳定性。

数据应用与模型结构改进

两篇原文支持统计模型和推荐研究；当前个人主页几乎空白。

代表论文与近期发表

2024From GARCH to Neural Network for Volatility ForecastAAAI

研究问题: 统计波动模型与神经预测分开发展，难兼得结构与表达力。
核心方法: 建立 GARCH-family 与 NN counterparts 对应，将其嵌入 LSTM。
实验结果: GARCH-LSTM 的实验优于单独 stochastic/NN 模型，保留 volatility stylized facts。
实验条件与边界: 结果属于所测历史金融序列；预测改进不能直接转为投资收益。
课题组研究线: 利用领域结构改造学习模型。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Multi-Item-Query Attention for Stable Sequential RecommendationCIKM

研究问题: 最新 item 单 query 对交互噪声敏感。
核心方法: 从多个交互项构建 diverse query vectors，作为 attention 替换件。
实验结果: benchmark 中改善推荐准确性与一致性。
实验条件与边界: 动态 query window 与更深 uncertainty 分析列为后续。
课题组研究线: 继续用户行为与推荐数据建模。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 3 篇）

2025 年1 篇

2025 · CIKMMulti-Item-Query Attention for Stable Sequential Recommendation

2024 年2 篇

实验室与成员

硕士生: 1

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Social computing；Web searching；Data analytics；Data modelling；Query languages

在组成员1

成员	教育背景	研究方向与经历
Mingshi XuMPhilCSE	—

校友与去向3

成员	教育背景	研究方向与经历
Haoren Zhu校友 · PhD · 2025CSE	—
Changlong Yu校友 · PhD · 2023CSE	—
Chak Hei So校友 · MPhil · 2023Technology Leadership and Entrepreneurship	—

教育与履历

教育背景

The University of Hong Kong
BSc (Honours)
University College London, University of London
MSc (Distinction)
1997
University of London
PhD, Computer Science
The University of Hong Kong
Postgraduate Certificate of Education

任职经历

HKUST CSE
Associate Professor

学术服务

数据库与信息系统教师，近期公开工作涉及推荐和时间序列。

系官方列 Associate Professor；方向含 semantic data modelling、query languages、data mining、web searching/XML。

学术影响与网络关注

计算标准

院系样本分位

累计引用48P48

h-index54P54

2024–2026 论文16P16

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 241 篇 · i10-index 90 · 截至 2026-10-17

Dimitris PAPADOPOULOS

Associate Professor

个人主页 · 学校档案 · 档案

博士毕业于: Boston University · 2016
研究主线: Blockchain security；Computer security；Cryptography；Cybersecurity；Data encryption；Network security；Zero-knowledge proofs and polynomial commitments；Oblivious primitives and trusted execution enclaves；Searchable encryption and cryptographic accumulators

累计引用: 2,168次
h-index: 22
2024–2026 论文: 23篇
在组成员: 10人

研究方向

Blockchain security
Computer security
Cryptography
Cybersecurity
Data encryption
Network security
Zero-knowledge proofs and polynomial commitments
主页与 2026 新闻持续列 SNARK、dynamic proofs、polynomial commitments。
Oblivious primitives and trusted execution enclaves
访问模式隐藏、分布式 oblivious sorting 与 TEE 系统。
Searchable encryption and cryptographic accumulators
主页明确列 searchable encryption、cryptographic accumulators、cloud data privacy 与 verifiable computation。

从 verifiable computation、searchable encryption 与 accumulators，持续推进 oblivious TEEs、space-efficient SNARK、dynamic proofs；2026 DeepProve 把该密码基础应用到端到端 LLM inference verification。

证明保证、协议复杂度与原型性能并重

distributed sort 对 enclave scale，Hobbit 对 prover time/space，DeepProve 对整段输出的验证成本分别建模。

代表论文与近期发表

2024Distributed & Scalable Oblivious Sorting and ShufflingIEEE S&P

研究问题: oblivious sorting/shuffling 在多 enclave 规模下代价高。
核心方法: 小规模优化 distributed bitonic sort，大规模用 locality/network-aware oblivious bucket sort。
实验结果: 多 enclave 测试 128 GiB 用 53.4 秒；bucket 相对 optimized bitonic 最高 5–6 倍。
实验条件与边界: 依赖 TEE 模型与多机通信配置；数据访问隐私保证不涵盖所有硬件威胁。
课题组研究线: 长期 oblivious data processing 线。
核阅章节: Abstract（公开全文抽取）、§1 Introduction

2025Hobbit: Space-Efficient zkSNARK with Optimal Prover TimeUSENIX Security

研究问题: 大电路 zkSNARK prover 内存限制可扩展性。
核心方法: streaming sumcheck、multilinear PCS 与改造 HyperPlonk，显式 stream circuit evaluation。
实验结果: prover 时间 O(|C|)；4 类应用较已有通用 space-efficient 系统快 8–56 倍，空间最多低 23 倍。
实验条件与边界: 相对 Ligetron 的空间使用增加 1.5–4.3 倍；proof size 约 1.3–25.3 MB。相对部分基线的验证时间更长，约 36–160 ms。不同基线的时间、空间与 proof-size 权衡分别报告。
课题组研究线: 从 verifiable computation 推进 prover 资源模型。
核阅章节: Abstract、§1 Introduction（开头）、末节实验结果与局限（正文无独立 Conclusion）

2026DeepProve: Verifiable End-to-End Large Language Model InferenceCCS（主页确认）；ePrint

研究问题: 用户需要确认云返回来自指定 LLM 的整段输出。
核心方法: 验证 output sequence，组合 sumcheck 与 lookup arguments 覆盖 GPT-2/Gemma 3 算子。
实验结果: GPT-2/Gemma 3 单机证明约 174/86 tokens/min；验证 1–3.7 秒。16 workers 的模拟分布式评估约 1855 tokens/min。
实验条件与边界: 分布式数字来自 chunk proving 和网络传输模型模拟；完整分布式实现列为未来工作。实际性能还依模型、量化、PCS 与序列长度。
课题组研究线: 将多年 SNARK 研究应用于 AI 服务完整性。
核阅章节: Abstract（公开全文抽取）、§1 Introduction、Distributed proving 实验段（公开全文抽取）

2024–2026 论文目录（共 23 篇）

2026 年8 篇

2025 年6 篇

2024 年9 篇

实验室与成员

博士生: 5
硕士生: 5

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Blockchain security；Computer security；Cryptography；Cybersecurity；Data encryption；Network security；Zero-knowledge proofs and polynomial commitments；Oblivious primitives and trusted execution enclaves；Searchable encryption and cryptographic accumulators

在组成员10

成员	教育背景	研究方向与经历
Christodoulos PappasPhD · 2024–CSE	2024 HKUST MPhil
Kianush ArshiMPhil · 2025–	—
Alexandros BallaMPhil · 2026–CSE	—
Jonas BallwegPhD · 2024–CSE	—	与 Amir Goharshady co-supervised
Togzhan BarakbayevaPhD · 2021–CSE	—	与 Amir Goharshady co-supervised
Zhuo CaiPhD · 2022–CSE	—	与 Amir Goharshady co-supervised
Sergei NovozhilovPhD · 2022–CSE	—	与 Amir Goharshady co-supervised
Arman KeshazarMPhilCSE	—
Zihao ZhangMPhilCSE	—
Kianoush ArshiMPhilCSE	—

校友与去向8

成员	教育背景	研究方向与经历
Vlasios Koutsos校友 · PhD · 2020–CSE	2020 HKUST MPhil 2026 HKUST PhD
Jiajun Xin校友 · PhD · 2025CSE	2025 HKUST PhD	Postdoctoral researcher, University of Sydney
Javad Ghareh Chamani校友 · PhD · 2022	—	Researcher, Huawei HKRC
Xian Wang校友 · MPhil · 2025CSE	2025 HKUST MPhil	CV 所列 PhD Student at University of Philadelphia
Xiangan Tian校友 · MPhil · 2025CSE	2025 HKUST MPhil	Software Engineer, BlockUp Solutions
Tai Tak Martin Yip校友 · MPhil · 2023CSE	2023 HKUST MPhil	Senior Cybersecurity Consultant, Deloitte
Arman Haghighi校友 · MPhil · 2021	—	Instructional Assistant, HKUST CSE
Yun Wang校友 · MPhil · 2020	—

教育与履历

教育背景

2010
National Technical University of Athens
Diploma, Applied Mathematics
2016
Boston University
PhD, Computer Science
导师 Nikos Triandopoulos

任职经历

2016-07–2017-01
University of Maryland Institute for Advanced Computer Studies
Postdoctoral Researcher
2017-02–2023-06
HKUST CSE
Assistant Professor
2023-07–
HKUST CSE
Associate Professor

学术服务

以可证明密码协议与可实现系统结合为明确取向。

业界合作与实习

合作机构: 7家
合作记录: 7条
成员产业经历: 0条

产业项目集中在零知识证明、区块链、可验证查询与安全联邦学习。公开 CV 列出 OKX、Ethereum Foundation、SUI Foundation、Huawei、WeBank、Kaisa 与 Protocol Labs 的项目及金额。

OKX Exchange 企业资助
PI，Efficient zkDEX – Perpetuals based on new zero-knowledge techniques；2024–2025；HK$780,000。
Ethereum Foundation 基金会资助
PI，Honest Maximum Extractable Value for Ethereum Block Builders；2024–2026；HK$227,284。
SUI Foundation 研究奖助
PI，Verifiable Time-lock puzzles and their Applications in Blockchains；2025–2029；HK$194,592。
HKUST-Kaisa Joint Research Institute 联合研究资助
PI，AUTI: A Verifiable and Privacy-Preserving Auditing Platform；Seed Fund；2021–2022；HK$627,000。
Huawei 企业资助
PI，Developing Blockchain-friendly Cryptographic Tools for Private Verifiable Queries；Innovation Research Program OPEN 2018；2019–2020；HK$390,000。
WeBank-HKUST Joint Lab 联合实验室项目
Co-PI，Federated Learning at Scale: Systems, Security and Applications；2019–2021；HK$2,243,107。
Protocol Labs 研究捐赠
CI，Adaptive VCBF and Applications to Proof of Space；2022；US$50,000。

学术影响与网络关注

计算标准

院系样本分位

累计引用30P30

h-index33P33

2024–2026 论文46P46

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 66 篇 · i10-index 30 · 截至 2026-10-17

Yangqiu SONG

宋陽秋

Associate Professor

个人主页 · 学校档案 · 档案

实验室: KnowComp
博士毕业于: Tsinghua University · 2009
研究主线: 知识图谱与知识计算；Enterprise data agents；Agent memory 与可信性

累计引用: 11,449次
h-index: 51
2024–2026 论文: 179篇
在组成员: 50人

研究方向

知识图谱与知识计算
ASER、ProBase、概念化、实体与事件图谱、复杂查询与神经符号推理。
Enterprise data agents
知识密集工作流、查询引擎、图谱构建、schema induction 和自动数据分析。
Agent memory 与可信性
当前主页提出 harness engineering、memory、skills、合规与隐私、安全、公平。

主页自己区分 2016—2026 的知识图谱语言理解路线与当前知识密集 agent 目标。COSMO 将意图常识用于电商系统，PrivaCI 把隐私扩展成情境信息流，AutoSchemaKG 将实体、事件、概念和 schema 自动构建规模化。当前 harness 与 memory 方向承接知识组织与推理基础。

结构化知识、系统落地与规范性评测结合

论文同时覆盖工业在线 A/B、知识图谱规模化、隐私评估；关注从知识表征到真实信息流的完整链条。

代表论文与近期发表

2024COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at AmazonSIGMOD Companion 2024

研究问题: 电商知识图谱偏重商品属性，用户意图和常识覆盖不足。
核心方法: 从大规模用户行为生成知识，经人类标注训练 critic 过滤，再 instruction-tune COSMO-LM 规模化生成。
实验结果: 30K annotated instructions 支持 18 个主要品类的数百万常识；论文说明已用于 Amazon 搜索导航并做 offline 与 online A/B。
实验条件与边界: 实际结果属于 Amazon 所报告范围。
课题组研究线: 延续 ASER/FolkScope 的事件与意图知识，并落实到服务。
核阅章节: Abstract（完整摘要）

2025PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal ComplianceACL 2025

研究问题: 只检测 PII 难覆盖隐私中的社会情境和信息流规范。
核心方法: 依 Contextual Integrity 汇集法规、判例、隐私政策与 toolkit 合成数据，标注信息流参数并测试 LLM。包含 154,191 benchmark records；Introduction 说明构建 140K+ 选择题并扩展角色、属性知识库；结论指出直接套用 CoT/RAG 未必提高判断。
实验结果: 作者报告模型能识别关键 CI 参数，隐私合规推理仍有明显提升空间，包含 QwQ-32B、DeepSeek R1 等。
实验条件与边界: 只把法律规范作为隐私底线，未覆盖文化与个人预期；固定 prompt，部分小模型上下文限制导致未评估 few-shot，未做 prompt sensitivity。
课题组研究线: 把知识与规则建模用于可信 agent 边界。
核阅章节: Abstract（完整）、1 Introduction（完整）、6 Conclusion（完整）、Limitations（完整）

2026AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale CorporaACL 2026

研究问题: 预定义 schema 限制大规模开放语料图谱构建。
核心方法: LLM 同时抽取实体与事件三元组并归纳类型，通过概念化组织实例，构造 ATLAS。
实验结果: 论文摘要报告处理超过 50M 文档，900M+ nodes、5.9B edges，schema 与人工语义对齐 92%；结论报告 multi-hop QA 与 factuality 改善。
实验条件与边界: 自动化的 precision 与 alignment 来自论文评测口径；语料覆盖、成本、噪声累积需进一步核对。
课题组研究线: 从长期知识图谱研究扩展到自动 schema 与 agent 外部知识层。
核阅章节: Abstract（完整）、schema induction 方法段（搜索返回）、Conclusion（搜索返回完整段）

2026AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon ConversationsICLR 2026

研究问题: 静态离策略对话记录无法充分反映助手自身交互如何影响长期记忆和个性化表现。
核心方法: 先生成结构化用户档案、状态演化和问题，再由 LLM 模拟用户展开与候选助手的在线交互；结合整体记忆得分及写入、读取、利用的诊断指标。
实验结果: 在 Agentic Write (In-Context) 的提示词更新实验中，Question-Only 与 Complete Feedback 的记忆分数均由静态基线 0.172 增至 0.197。完整反馈组写入失败率从 0.293 降至 0.263；利用失败率为 0.136，高于静态组的 0.118，改进集中在写入策略。
实验条件与边界: 用户与状态由合成机制生成；自演化实验在同一环境内完成。
课题组研究线: 把知识图谱和信息组织方向扩展为动态交互记忆，覆盖主页明确提出的 agent memory 主题。
核阅章节: Abstract（完整）、1 Introduction（完整）、6 Conclusion（完整，含复现说明）、5 Can Memory Agents Self-Evolve Through Interaction?（完整，含表 3）

2024–2026 论文目录（共 179 篇）

2026 年64 篇

2025 年60 篇

2024 年55 篇

实验室与成员

KnowComp

博士生: 34
硕士生: 13
博士后: 3

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

知识图谱与知识计算；Enterprise data agents；Agent memory 与可信性

在组成员50

成员	教育背景	研究方向与经历
Yunfan LuPostdoc · Since Fall 2026 简历 · Google Scholar · GitHub · LinkedIn GitHub 关注 111 Stars 373	Nanjing University of Science and Technology Bachelor University of Chinese Academy of Sciences Master HKUST (Guangzhou) PhD	事件相机、计算成像与多模态视觉 Tencent Multimedia Laboratory · Research Intern2019-05–2020-02 DJI · Algorithm Engineer2020-07–2021-04
Haoran LiPostdoc · Since Spring 2025	Fall 2020-Fall 2024 HKUST PhD 2024 HKUST PhD, CSE	Enhancing Trustworthiness in Large Language Models: Perspectives on Privacy and Safety
Xi YangPostdoc · Since Spring 2025	—
Boyi ZhangPhD, CSE · Since Fall 2026	—
Qiao XiaoPhD, CSE · Since Fall 2026	—
Sirui ZhangPhD, CSE · Since Fall 2026	—
Lingyun XiePhD, CSE · Since Fall 2026	—
Hongyu LuoPhD, CSE · Since Fall 2026	2024-2026 HKUST MPhil 2026 HKUST MPhil, CSE	Can Language Models Imagine Without Seeing? EKPHRASIS: Measuring Visual Creative Ideation in Text-Only LLM
Chunyang LiPhD, CSE · Since Fall 2026 GitHub · Google Scholar GitHub 关注 14 Stars 26	2024-2026 HKUST MPhil 2024 Tsinghua University BEng, Computer Science and Technology 2026 HKUST MPhil, CSE	语言模型认知能力、知识获取、适应推理与 LLM-as-a-judge
Dennis Hong Ting TSANGPhD, CSE · Since Fall 2026 Google Scholar · ORCID · GitHub · LinkedIn GitHub 关注 14 Stars 2	HKUST BEng, Computer Science 2024-2026 HKUST MPhil 2026 HKUST MPhil, CSE	知识图谱构建、图推理、RAG、LLM 与智能体
Yisen GaoPhD, CSE · Since Fall 2025 Google Scholar · DBLP · GitHub DBLP 近三年 35 GitHub 关注 3 Stars 0	2025 Beihang University Bachelor, Artificial Intelligence	神经图数据库、溯因与演绎推理、AI 数学与几何深度学习 Tencent · Qingyun Research Intern
Zhongwei XiePhD, CSE · Since Fall 2025	—
Haoyu HuangPhD, CSE · 2025– GitHub · X GitHub 关注 47 Stars 603	2019–2023 Beijing Jiaotong University BE, Computer Science 2024–2025 CUHK MSc, CSE 2025–2029 expected HKUST PhD, CSE	智能体后训练、参数化记忆与世界建模
Yufei LiPhD, CSE · Since Fall 2025	—
Xiyu RenPhD, CSE · Since Fall 2025	—
Yuxuan LiuPhD, CSE · Since Fall 2025 GitHub · Google Scholar GitHub 关注 2 Stars 56	Harbin Institute of Technology Bachelor, Artificial Intelligence	自然语言处理、递归自我改进与智能体执行环境设计
Andy Yau Wai YIMPhD, CSE · Since Fall 2025	2023-2025 HKUST MPhil 2025 HKUST MPhil, CSE	Evaluating and Enhancing LLMs Agent with Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information
Changxuan FanPhD, CSE · Since Fall 2025	—
Tsz Ho CHANPhD, CSE · Since Fall 2025	2023 HKUST MPhil, CSE
Huihao JingPhD, CSE · 2025– Google Scholar · ORCID · GitHub GitHub 关注 17 Stars 11	2020–2024 HKUST BSc, Data Science and Technology 2023 夏季 Technical University of Munich Exchange, Informatics 2025– HKUST PhD, Computer Science	工具、记忆与多智能体工作流中的安全、隐私和上下文控制
Shurui ZhangPhD, CSE · Since Fall 2025	—	Co-supervised with Kani Chen
Wenbin HuPhD, CSE · Since Spring 2025	—
Peng XiePhD, CSE · Since Fall 2024	—	Co-supervised with Kani Chen
Tianshi ZhengPhD, CSE · 2024– Google Scholar · Semantic Scholar · GitHub 引用 622 h-index 13 GitHub 关注 31 Stars 0	HKUST Bachelor, Computer Science; Bachelor, General Business Management 2024– HKUST PhD, Computer Science	科学推理与发现、智能体评测
Baixuan XuPhD, CSE · 2024– ORCID · Semantic Scholar · GitHub · DBLP · OpenAlex DBLP 近三年 32 OpenAlex 近三年 38 引用 71 h-index 4 GitHub 关注 12 Stars 0	2020–2024 HKUST BSc, Computer Science and Mathematics 2024–2028 expected HKUST PhD, CSE	预训练代码和网页数据、agent 环境构建、SFT 与 RL 数据 Xiaomi MiMo · Research Intern2026-02–2026-09
Qing ZongPhD, CSE · Since Fall 2024 GitHub GitHub 关注 52 Stars 68	2024 Harbin Institute of Technology, Shenzhen Bachelor, Computer Science and Technology	可靠、自我演化的智能体系统；模型可信性、置信表达与鲁棒性 Tencent Lightspeed Studios · Research Intern2026-01 起
Haochen ShiPhD, CSE · Since Fall 2024	—
Wei FanPhD, CSE · 2023-09– X · GitHub · Google Scholar · Semantic Scholar 引用 857 h-index 9 GitHub 关注 262 Stars 1,495	2017–2021 Huazhong University of Science and Technology BEng, Computer Science 2022–2023 HKUST MSc, Big Data Technology 2023-09– HKUST PhD, Computer Science	长程智能体、子智能体协作、法律推理与隐私 ByteDance, Shanghai · Software Development Engineer2021-07–2022-05 HKUST (Guangzhou), AI Thrust · Research Intern2022-06–2022-08 Amazon Rufus LLM, Palo Alto · Applied Scientist Intern2025-06–2025-12 Alibaba Qwen · Research Intern2026-01–
Zhaowei WangPhD, CSE · Since Fall 2023 Google Scholar · GitHub · LinkedIn · X · DBLP DBLP 近三年 37 GitHub 关注 86 Stars 26	Fall 2021-Summer 2023 HKUST MPhil 2023 HKUST MPhil, CSE University of Edinburgh Visiting scholar	多模态长上下文、持久记忆与长程智能体 ByteDance Seed VLM · Research Intern
Jacky Chun Kit ChanPhD, CSE · Since Fall 2023	Fall 2021-Summer 2023 HKUST MPhil 2021 HKUST Master, Big Data Technology 2021–2023 HKUST MPhil, CSE	心智理论、主观世界建模、多智能体协作与强化学习推理 NVIDIA AI Technology Center · Research Intern2022–2024 Amazon, Palo Alto · Applied Scientist Intern
Zheye DengPhD, CSE · 2022-09– Google Scholar · Semantic Scholar · GitHub 引用 404 h-index 9 GitHub 关注 11 Stars 0	2016–2020 Peking University BSc, Computer Science 2022-09– HKUST PhD, Computer Science	结构化知识、LLM 后训练与智能体强化学习 ByteDance Douyin Data Team · R&D Engineer Intern2018-06–2018-10 Megvii Infrastructure Team · R&D Engineer2020-07–2022-08 Amazon Stores Foundational AI · Applied Scientist Intern2025-06–2025-12 Amazon Stores Foundational AI · Applied Scientist Intern2026-05–2026-08 Alibaba Alimama · Research Scientist Intern2026-01–2026-04
Wuganjing SongMPhil, CSE · Since Fall 2026	—
He WangMPhil, CSE · Since Fall 2026	—
TAM, Kiu WaiMPhil, CSE · Since Fall 2026	—
TANG, Chiu YeungMPhil, CSE · Since Fall 2026	—
Newt Nguyen NamMPhil, CSE · Since Fall 2026	—
Jerry, Ki Sen HUNGMPhil, CSE · Since Fall 2025	—
Anson, Tsun On KWOKMPhil, CSE · Since Fall 2025	—
Ka Wai CHUNGMPhil, CSE · 2025– Google Scholar	2021–2025 HKUST BEng, CSE; Extended Major in Artificial Intelligence 2025– HKUST MPhil, CSE	LLM 推理、智能体评测与自然语言处理
Bowen LiuMPhil, CSE · Since Fall 2025	—	Co-supervised with Xiaomeng Li；共同指导
Xingyan ChenMPhil, CSE · Since Fall 2024	—	Co-supervised with Kani Chen
Lucas Wun Yu CHANMPhil, CSE · Since Fall 2024 GitHub · Google Scholar · LinkedIn · X GitHub 关注 28 Stars 42	HKUST Bachelor, Computer Science and Electronic Engineering, double major	表示学习、嵌入空间几何、隐式推理与量化 AI Alpha Sherpa Capital · Quantitative Research Intern Amber Group · AI Research Intern
Asif KHANMPhil, CSE · Since Fall 2024	—
Zirui WangMPhil, CSE · Since Fall 2022	—	Co-supervised with Qian Xu
WANG, ChenPhD, CSE	—
WANG, DengyuxingPhD, CSE	—	共同指导
ZHANG, JinhanPhD, IIP	—	共同指导
HAN, SiruiPhD, CSE	—	共同指导
SO, Tsz Yan AmandaPhD, Individualized Interdisciplinary Program (Innovation, Policy and Entrepreneurship)	—	共同指导
YUAN, ShuaiPhD, CSE	—

校友与去向39

成员	教育背景	研究方向与经历
Zizheng Lin校友 · PhD, CSE · 2019–2026	Fall 2019-Summer 2026 HKUST PhD 2026 HKUST PhD, CSE	Constraint Modeling in Natural Language Processing in the Era of Deep Learning faculty@Xiamen University of Technology
Jiayang Cheng校友 · PhD, CSE · 2023–2026 LinkedIn · Google Scholar · Semantic Scholar · DBLP · ORCID DBLP 近三年 40	Fudan University Bachelor, Data Science Fall 2021-Summer 2023 HKUST MPhil Fall 2023-Spring 2026 HKUST PhD 2026 HKUST PhD, CSE	知识落地、类比推理与长期对话记忆 Amazon Rufus, Palo Alto · Applied Scientist Intern2025-06 起 Amazon Web Services AI Lab · Research Intern Alibaba Qwen
Weiqi Wang校友 · PhD, CSE · 2022–2026 Google Scholar · Semantic Scholar · ORCID · GitHub · LinkedIn · DBLP · OpenAlex DBLP 近三年 63 OpenAlex 近三年 73 引用 300 h-index 11 GitHub 关注 76 Stars 12	2018-09–2022-06 Hong Kong University of Science and Technology Bachelor Degree in Computer Science and Mathematics Fall 2022-Spring 2026 HKUST PhD 2026 HKUST PhD, CSE Conceptualization to Metaphysical Reasoning: Frameworks and Benchmarks Towards Generalizable Reasoning	From Conceptualization to Metaphysical Reasoning: Frameworks and Benchmarks Towards Generalizable Reasoning Tencent Hunyuan in Beijing
Qi Hu校友 · PhD, CSE · 2020–2025	Fall 2020-Spring 2025 HKUST PhD 2025 HKUST PhD, CSE	Privacy-Preserved Learning on Graph-Structured Data Byte Dance in Shanghai
Jiaxin Bai校友 · PhD, CSE · 2020–2025	Fall 2020-Spring 2025 HKUST PhD 2025 HKUST PhD, CSE	Advancements in Knowledge Graph Reasoning: Innovative Approaches to Complex Query Answering and Logical Hypothesis Generation Postdoc@HKUST
Zihao Wang校友 · PhD, CSE · 2020–2025 Google Scholar · GitHub · DBLP · ORCID DBLP 近三年 41 GitHub 关注 55 Stars 42	Fall 2020-Spring 2025 HKUST PhD 2025 HKUST PhD, CSE	Querying Neural Graph Databases TSY Capital in Hong Kong
Ying Su校友 · PhD, IIP (AI) · 2020–2024 Google Scholar · Semantic Scholar · ORCID · GitHub 引用 158 h-index 6 GitHub 关注 6 Stars 4	Fall 2020-Fall 2024 HKUST PhD 2024 HKUST PhD, IIP (AI)	Commonsense Knowledge Representation, Reasoning and Application Postdoc@HKU
Tianqing Fang校友 · PhD, CSE · 2019–2024	Fall 2019-Summer 2024 HKUST PhD 2024 HKUST PhD, CSE	Commonsense Knowledge Base Population and Reasoning for Inferential Knowledge Tencent AI Lab in Shenzhen
Xin Liu校友 · PhD, CSE · 2018–2023 Google Scholar · GitHub GitHub 关注 64 Stars 3	Fall 2018-Summer 2023 HKUST PhD 2023 HKUST PhD, CSE	Theory and Practice: Graph Representation Learning For Subgraph Isomorphisms and Substructure-Augmented Applications Scientist@Amazon A9 in Palo Alto
Huiru Xiao校友 · PhD · Fall 2016-Summer 2022 GitHub GitHub 关注 19 Stars 0	Fall 2016-Summer 2022 HKUST PhD	Learning with Hierarchical Data Lecturer@HKUST
Wenyi Xiao校友 · PhD · Fall 2016-Fall 2021	Fall 2016-Fall 2021 HKUST PhD	Path Learning in Complex Networks Scientist@Huawei in Hong Kong
Hongming Zhang校友 · PhD · Fall 2018-Summer 2021 简历 · Google Scholar · GitHub GitHub 关注 88 Stars 48	2016 HKUST MPhil Fall 2018-Summer 2021 HKUST PhD	Towards Commonsense Reasoning with Higher-order Selectional Preference over Eventualities Scientist@Tencent AI Lab in Seattle
Hongliang Dai校友 · PhD · Fall 2017-Summer 2021 Google Scholar · GitHub GitHub 关注 9 Stars 25	Fall 2017-Summer 2021 HKUST PhD	Weak Supervision for Information Extraction Scientist@Tencent Jarvislab in Shenzhen
Ziqian Zeng校友 · PhD · Fall 2016-Summer 2021 Google Scholar · GitHub GitHub 关注 30 Stars 6	Fall 2016-Summer 2021 HKUST PhD	On the Use of Auxiliary Information for Label-less Text Mining Tasks Assistant Professor@SCUT in Guangzhou
Yinghua Zhang校友 · PhD · Fall 2015-Spring 2021	Fall 2015-Spring 2021 HKUST PhD	Deep Transfer Learning: Generalization on Clean and Adversarial Data Research Engineer@Meituan in Shanghai Co-supervised with Prof. Qiang Yang, First Employment: Research Engineer@Meituan in Shanghai
Nedjma Ousidhoum校友 · PhD · Fall 2014-Summer 2021	Fall 2014-Summer 2021 HKUST PhD	On the Importance of Normalization of the Experimental Design of Multilingual Toxic Content Detection Postdoc@Cambridge Co-supervised with Prof. DY Yeung, First Employment: Postdoc@Cambridge
Jason Tsz Ho LI校友 · MPhil · 2024-2026	2024-2026 HKUST MPhil	Legal Data Augmentation in LLMs for Low-resourced Domains
Louis Chun Yi Bo校友 · MPhil · 2022-2024	2022-2024 HKUST MPhil	Educational Question Generation and Evaluation with Large Language Models Gap Year
Zihan Li校友 · MPhil, CSE · 2022–2024 GitHub GitHub 关注 10 Stars 0	2022-2024 HKUST MPhil 2024 HKUST MPhil, CSE	Sparse Gradient Communication for Accelerating Distributed Deep Learning PhD@UToronto Co-supervised with Prof. Bo Li, First Employment: PhD@UToronto
Sehyun Choi校友 · MPhil, CSE · 2022–2024 GitHub GitHub 关注 58 Stars 243	2022-2024 HKUST MPhil 2024 HKUST MPhil, CSE	Knowledge Grounded Generation with Inference-Time Optimization and Constrained Decoding Startup Company in Korea
Van Quyet DO校友 · MPhil, CSE · 2022–2024	Since Fall 2022 HKUST MPhil 2024 HKUST MPhil, CSE	ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases PhD@Virginia Tech
Cynwell Yik Lun Lau校友 · MPhil · Fall 2021-Fall 2023	Fall 2021-Fall 2023 HKUST MPhil	Better Questions for Better Answers: Generating High-quality QA Pairs HKMA
Gio Tsz Ho Chan校友 · MPhil · Fall 2021-Summer 2023	Fall 2021-Summer 2023 HKUST MPhil	Exploring Contextualized Conceptualization: An Evaluation of Prompt-Driven Responses in Diverse Language Models Research Engineer@Huawei Hong Kong
Ngo Yin Wong校友 · MPhil, CSE · 2019–2023	Fall 2019-Summer 2023 HKUST MPhil 2023 HKUST MPhil, CSE	Reasoning over Merged Semantic Graphs across Multiple Frameworks for Fact Verification Software Engineer@Amazon AWS in Hong Kong
Haowen Ke校友 · MPhil · Fall 2019-Summer 2022	Fall 2019-Summer 2022 HKUST MPhil	Personalised Knowledge-aware News Recommendation
Mutian He校友 · MPhil · Fall 2019-Spring 2022 简历 · Google Scholar · GitHub · LinkedIn · X · DBLP · ORCID DBLP 近三年 4 GitHub 关注 44 Stars 158	Fall 2019-Spring 2022 HKUST MPhil	Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization PhD@EPFL
Haojie Pan校友 · MPhil · Fall 2018-Spring 2020 GitHub · LinkedIn · Google Scholar GitHub 关注 124 Stars 461	Fall 2018-Spring 2020 HKUST MPhil	Pragmatical Discourse Analysis in Dialogues Research Engineer@Alibaba):
Yan Liang校友 · MPhil · Fall 2016-Summer 2019	Fall 2016-Summer 2019 HKUST MPhil	Relation Discovery with Out-of-Relation Knowledge Base as Supervision Financial Industry
Ruixiang Zhang校友 · MPhil · Fall 2016-Summer 2018	Fall 2016-Summer 2018 HKUST MPhil	An Adversarial Approach to Few-Shot Learning PhD@UMontreal
CAO, He校友 · PhD, IIP (AI) · 2025	2025 HKUST PhD, IIP (AI)	共同指导
CHENG, Yiran校友 · PhD, IIP (AI) · 2025	2025 HKUST PhD, IIP (AI)	共同指导
GUO, Yue校友 · PhD, IIP (Data Science and Analytics) · 2025	2025 HKUST PhD, IIP (Data Science and Analytics)	共同指导
YAO, Duanyi校友 · PhD, Individualized Interdisciplinary Program (Internet of Things) · 2025	2025 HKUST PhD, Individualized Interdisciplinary Program (Internet of Things)
ZHANG, Peiyan校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE
XUE, Bohuan校友 · PhD, CSE · 2024	2024 HKUST PhD, CSE
LI, Tsz Ho校友 · MPhil, CSE · 2026	2026 HKUST MPhil, CSE
BO, Chun Yi Louis校友 · MPhil, CSE · 2024	2024 HKUST MPhil, CSE
PAN, Rui校友 · MPhil, CSE · 2024	2024 HKUST MPhil, CSE
LAU, Yik Lun校友 · MPhil, CSE · 2023	2023 HKUST MPhil, CSE

教育与履历

教育背景

2003
Tsinghua University
BE
2009
Tsinghua University
PhD

任职经历

2006–2007
IBM Research-China
Intern
2007–2008
Google
Intern
2009–2010
IBM Research-China
Staff Researcher
2010–2012
Microsoft Research Asia
Associate Researcher
2012–2013
HKUST / Huawei Noah’s Ark Lab
Postdoctoral Researcher; Visiting Researcher
2013–2015
UIUC
Postdoctoral Researcher
2015–2016
West Virginia University
Assistant Professor
2022–2026
Amazon A9 / Rufus
Visiting Academic Scholar
HKUST
Associate Professor; HKUST-WeBank Joint Lab co-director

学术服务

知识获取、推理与 NLP 的副教授，拥有长期工业合作与系统研究记录。

业界合作与实习

合作机构: 8家
合作记录: 9条
成员产业经历: 21条

WeBank（joint laboratory）；Amazon A9 / Rufus（visiting appointment）；Huawei Noah’s Ark Lab（visiting appointment）；Microsoft Research Asia（employment）；IBM Research-China（employment）；Google（internship）

WeBank 联合实验室
HKUST-WeBank Joint Lab 联合主任
Amazon A9 / Rufus 访问任职
2022–2026 Visiting Academic Scholar
Huawei Noah’s Ark Lab 访问任职
2012–2013
Microsoft Research Asia 任职
2010–2012 Associate Researcher
IBM Research-China 任职
2009–2010 Staff Researcher
Google 研究实习
2007–2008
Huawei Technologies Co., Ltd. 资助研究项目
知识图谱构建与大模型应用融合（2025–）；智能隐私助手 IPA（2024–，与 Innovation and Technology Fund 联合资助）；负责人
Tencent AI Lab 资助研究项目
常识推理中的蕴涵关系；负责人；2022–
Zhenjiang Duoyou Network Technology Co., Ltd. 资助研究项目
知识图谱游戏行业数据平台联合研发；参与；2021–2024

成员实习与产业经历

2018-06–2018-10
Zheye Deng · ByteDance Douyin Data Team
R&D Engineer Intern；2022-09 入读 HKUST；Amazon 与 Alimama 在博士阶段；ByteDance 为本科阶段，Megvii 为本科毕业后的全职经历；R&D Engineer Intern
2019-05–2020-02
Yunfan Lu · Tencent Multimedia Laboratory
Research Intern；加入 KnowComp 博士后前的经历；Research Intern
2020-07–2021-04
Yunfan Lu · DJI
Algorithm Engineer
2020-07–2022-08
Zheye Deng · Megvii Infrastructure Team
R&D Engineer
2021-07–2022-05
Wei Fan · ByteDance, Shanghai
Software Development Engineer
2022-06–2022-08
Wei Fan · HKUST (Guangzhou), AI Thrust
Research Intern；Amazon 与 Qwen 在 HKUST 博士阶段；GZ 实习和 ByteDance 全职经历在博士入学前；Research Intern
2022–2024
Jacky Chun Kit Chan · NVIDIA AI Technology Center
Research Intern；NVIDIA 经历覆盖 MPhil 及随后求学阶段；Amazon 为主页所列博士期间当前实习；Research Intern
2025-06–2025-12
Wei Fan · Amazon Rufus LLM, Palo Alto
Applied Scientist Intern；Amazon 与 Qwen 在 HKUST 博士阶段；GZ 实习和 ByteDance 全职经历在博士入学前；Applied Scientist Intern
2025-06–2025-12
Zheye Deng · Amazon Stores Foundational AI
Applied Scientist Intern；2022-09 入读 HKUST；Amazon 与 Alimama 在博士阶段；ByteDance 为本科阶段，Megvii 为本科毕业后的全职经历；Applied Scientist Intern
2025-06 起
Jiayang Cheng · Amazon Rufus, Palo Alto
Applied Scientist Intern；HKUST 博士阶段；Applied Scientist Intern
2026-02–2026-09
Baixuan Xu · Xiaomi MiMo
Research Intern；HKUST 博士阶段；MiMo-V2.6 系列核心贡献者；Research Intern
2026-01 起
Qing Zong · Tencent Lightspeed Studios
Research Intern；HKUST 博士阶段；Research Intern
2026-01–
Wei Fan · Alibaba Qwen
Research Intern；Amazon 与 Qwen 在 HKUST 博士阶段；GZ 实习和 ByteDance 全职经历在博士入学前；Research Intern
2026-05–2026-08
Zheye Deng · Amazon Stores Foundational AI
Applied Scientist Intern；2022-09 入读 HKUST；Amazon 与 Alimama 在博士阶段；ByteDance 为本科阶段，Megvii 为本科毕业后的全职经历；Applied Scientist Intern
2026-01–2026-04
Zheye Deng · Alibaba Alimama
Research Scientist Intern；2022-09 入读 HKUST；Amazon 与 Alimama 在博士阶段；ByteDance 为本科阶段，Megvii 为本科毕业后的全职经历；Research Scientist Intern
Yisen Gao · Tencent
Qingyun Research Intern；个人主页并列列为 HKUST 在读博士与当前腾讯实习；Qingyun Research Intern
Zhaowei Wang · ByteDance Seed VLM
Research Intern；个人主页并列列为 HKUST 在读博士与当前 Seed VLM 实习；Research Intern
Jacky Chun Kit Chan · Amazon, Palo Alto
Applied Scientist Intern；NVIDIA 经历覆盖 MPhil 及随后求学阶段；Amazon 为主页所列博士期间当前实习；Applied Scientist Intern
Lucas Wun Yu CHAN · Alpha Sherpa Capital
Quantitative Research Intern；成员 MPhil 主页所列当前与此前实习；Quantitative Research Intern
Lucas Wun Yu CHAN · Amber Group
AI Research Intern；成员 MPhil 主页所列当前与此前实习；AI Research Intern
Jiayang Cheng · Amazon Web Services AI Lab
Research Intern；HKUST 博士阶段；Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用74P74

h-index74P74

2024–2026 论文95P95

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 620 篇 · i10-index 165 · 截至 2026-10-17

GitHub · HKUST-KnowComp实验室组织账号

关注者: 285人
Stars: 5,026
公开仓库: 209

Shuai WANG

王帥

Associate Professor

个人主页 · 学校档案 · 档案

博士毕业于: Pennsylvania State University · 2018
研究主线: Software and system security；Binary-level security techniques；Security and privacy on emerging platforms；AI security and AI infrastructure；Privacy-enhancing technologies

累计引用: 2,500次
h-index: 27
2024–2026 论文: 121篇
在组成员: 36人

研究方向

Software and system security
Binary-level security techniques
Security and privacy on emerging platforms
AI security and AI infrastructure
当前组研究 model algorithms、agent systems 与底层计算栈的可信性。
Privacy-enhancing technologies
主页独立列 Data Privacy；面向现实计算基础设施的隐私增强技术。

从 binary analysis、reverse engineering、side channels 和软件测试，扩展到 PET-hardened ML、AI infra/agent 安全；2024–2026 同时持续 kernel/GPU/compiler 基础线。

跨计算栈的安全机制与可复现实证

MOAT 加硬件隔离，ShaDiv 针对 SIMT divergence，MASLeak 针对 agent 配置泄露，方法随威胁边界变化。

代表论文与近期发表

2024MOAT: Towards Safe BPF Kernel ExtensionUSENIX Security

研究问题: BPF verifier 有缺陷时用户 BPF 可越权访问 kernel。
核心方法: 用 Intel protection keys 隔离 BPF，处理有限 keys 与 helper 访问边界。
实验结果: Linux 6.1.38 原型，packet-filter 场景约 3% throughput loss。
实验条件与边界: 关键 kernel objects 人工识别可能遗漏，PKS granularity 与部署限制仍在。
课题组研究线: 延续底层系统安全与隔离。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025Divergence-Aware Testing of Graphics Shader Compiler Back-EndsPLDI

研究问题: 既有 shader 测试难触发 GPU backend 特有优化。
核心方法: ShaDiv 构造 control/data-flow divergence 来覆盖 SIMT 编译机制。
实验结果: 4 个 GPU 厂商；摘要列 12 backend bugs，整体工具发现 14 bugs；backend coverage 高 25%。
实验条件与边界: backend 数与总 bug 数区分；结果依对应驱动/编译器版本。
课题组研究线: 编译器可靠性延续到专用加速器。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2026IP Leakage Attacks Targeting LLM-Based Multi-Agent SystemsUSENIX Security（主页名 MASLeak）；已读 2025 作者稿

研究问题: 黑盒多 agent 应用的配置、prompt 与拓扑可能被输入查询泄露。
核心方法: MASLeak 构造跨 agent 传播、保留信息的查询，评测 synthetic 与作者搭建的真实平台应用。
实验结果: 810 个 synthetic MAS；文中报告 prompt/instruction 平均成功率 87%、architecture 92%。
实验条件与边界: 数字取自 2025 v3 作者稿与受控部署；最终 2026 版需比对。
课题组研究线: 把软件系统边界测试扩展到 agent 架构。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 121 篇）

2026 年41 篇

2025 年51 篇

2024 年29 篇

实验室与成员

博士生: 29
博士后: 5
RA、访问与其他: 2

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Software and system security；Binary-level security techniques；Security and privacy on emerging platforms；AI security and AI infrastructure；Privacy-enhancing technologies

在组成员36

成员	教育背景	研究方向与经历
Qingyue WangPostdoc · 2024 Fall GitHub GitHub 关注 4 Stars 18	—
Ruochen ZhouPostdoc · 2025 Spring	—	与 Bo Li 共同指导博士后
Wai Kin WongPostdoc · 2025 FallCSE	2019–2021 HKUST MPhil, CSE 2021–2025 HKUST PhD	PhD 论文：Enhancing Binary Analysis Tooling；MPhil 论文：Attacking deep learning-based anti-malware engines
Jiangrong WuPostdoc · 2026 Fall	—
Xiaoyu ZhangPostdoc · 2026 Fall	—
Yanzuo ChenPhD · 2021 FallCSE	—
Yongkang ZhangPhD · 2021 FallCSE 简历 · Google Scholar · DBLP · ORCID · GitHub DBLP 近三年 2 GitHub 关注 1 Stars 0	2017–2021 Wuhan University BEng, Computer Science and Technology 2021– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Shuai Wang；Xiaowen Chu	高性能、资源高效与安全的 GPU 云平台 Alibaba Group, Cluster Management Group · Research Intern2020-10–2021-07 Microsoft Research Asia, Networking Research Group · Research Intern2020-07–2020-10
Dong ChenPhD · 2022 FallCSE GitHub GitHub 关注 18 Stars 4	2022 Peking University BSc, Computer Science	Alibaba Cloud · Research Intern（本科毕业前后、入读 HKUST 前）2022-02–2022-08 Nokia Bell Labs · Research Intern（PhD 期间）2023-06–2023-09 Nokia Bell Labs · Research Intern（PhD 期间）2024-04–2024-10 与 Wei Wang 共同指导；Bell Labs mentor Ruichuan Chen
Sen DengPhD · 2023 FallCSE	—
Yiteng PengPhD · 2023 FallCSE	USTC BEng, Computer Science	software testing、privacy-enhancing technologies 与 AI systems 的可靠性和安全 2023 年曾以 USTC 本科研究者身份来组
Xunguang WangPhD · 2023 FallCSE Google Scholar	2019 China University of Geosciences, Wuhan BEng 2022 Harbin Institute of Technology, Shenzhen MEng	AI/LLM security、adversarial ML 硕士导师 Zheng Zhang
Zhaoyu WangPhD · 2023 FallCSE GitHub GitHub 关注 19 Stars 8	2023 Tongji University Bachelor, Data Science and Technology	privacy-preserving and verifiable data management、ZKP analytic workflows 2022–2023 年曾以本科研究者或 RA 身份在组内研究
Kuan LiPhD · 2023 FallCSE	—	与 Minhao Cheng 共同指导
Yanbo DaiPhD · 2024 FallCSE	—
Ruixuan HuangPhD · 2024 FallCSE	—
Zongyi LyuPhD · 2024 FallCSE 简历 · GitHub GitHub 关注 1 Stars 0	2024 Harbin Institute of Technology, Shenzhen Bachelor	SE for AI、coding-agent testing、causality-based analysis 与 Shing-Chi Cheung 共同指导；本科导师 Cuiyun Gao
Liwen WangPhD · 2024 FallCSE	—
Yuchong XiePhD · 2024 FallCSE	—	与 Dongdong She 共同指导
Zhantong XuePhD · 2024 FallCSE	—
Kunpeng ZhangPhD · 2024 FallCSE	—
Yudong GaoPhD · 2025 FallCSE	—
Xing HanPhD · 2025 FallCSE	—
Mingyuan HuangPhD · 2025 FallCSE	—
Zimo JiPhD · 2025 FallCSE	—
Gengyang XuPhD · 2025 FallCSE	—
Zheng ZhangPhD · 2025 FallCSE	—
Yuguang ZhouPhD · 2025 FallCSE	—
Hetian ShiPhD · 2026 FallCSE	—
Taojie WangPhD · 2026 FallCSE	—
Xinzhi ZhangPhD · 2026 Fall	—
Jeremy KulcsarPhD · 2026 FallCSE	—	与 Georgios Korpas 共同指导
Xin WeiRA · 2025 Winter	—
Yifan MoRA · 2026 Spring	—
Hongyi LuPhD · 2022–2026CSE	2022–2026 HKUST PhD	PhD 论文：Memory Isolation in Modern Computing System Researcher @ NIO
Zeyu QinPhDCSE	—
Xingzhi ZhangPhDCSE	—

校友与去向30

成员	教育背景	研究方向与经历
Daoyuan Wu校友 · Research Assistant Professor · 2024–2025	—	Assistant Professor @ Lingnan University
Wenxuan Wang校友 · Postdoc · 2024–2025	—	Assistant Professor @ Renmin University of China 国家级高层次青年人才计划
Hengcheng Zhu校友 · Postdoc · 2026	—
Zhibo Liu校友 · PhD · 2019–2023CSE	2023 HKUST PhD	PhD 论文：Towards Assessing and Enhancing Modern Software Reverse Engineering Associate Professor @ Nanjing University RGC Postdoc Fellow 2023–2025；国家级高层次青年人才计划；2023 CSE Best PhD Dissertation Award — Honorable Mention
Huaijin Wang校友 · PhD · 2019–2023CSE	2023 HKUST PhD	PhD 论文：Advanced Binary Similarity Analysis and Its Downstream Applications Professor @ Shandong University 2024–2026 任博士后；国家级高层次青年人才计划
Yuanyuan Yuan校友 · PhD · 2020–2024CSE	2024 HKUST PhD	PhD 论文：Side Channel Analysis for AI Infrastructures Assistant Professor @ Tsinghua University 国家级高层次青年人才计划；2024 CSE Best PhD Dissertation Award
Pingchuan Ma校友 · PhD · 2020–2024CSE	2024 HKUST PhD	PhD 论文：Algorithms, Applications, and Verification of Causal Structure Learning Professor @ Zhejiang University of Technology 2024–2025 任博士后；国家级高层次青年人才计划；HKUST Engineering PhD Research Excellence Award 2024–2025；2025 CSE Best PhD Dissertation Award
Zongjie Li校友 · PhD · 2021–2025CSE	2025 HKUST PhD	PhD 论文：Enhancing and Hardening Neural Code Model 2025 Ant InTech Technology Scholarship
Dongwei Xiao校友 · PhD · 2021–2025CSE	2025 HKUST PhD	PhD 论文：Improving the Reliability of Privacy-Enhancing Technology (PET) Systems
Zhenlan Ji校友 · PhD · 2021–2025CSE	2025 HKUST PhD	PhD 论文：Causality-Driven Interpretation and Inspection of Deep Learning Systems Assistant Professor @ Nara Institute of Science and Technology (NAIST), Japan
Kun Hung LUNG校友 · MPhil · 2019–2021	2019–2021 HKUST MPhil, CSE	MPhil 论文：Sanitizer Check Debloating with Reinforcement Learning Engineer, cybersecurity startup
Wei Chen校友 · MPhil · 2019–2021	2019–2021 HKUST MPhil, CSE	MPhil 论文：Synthesizing High-Quality System Call Traces for OS Fuzz Testing PhD, HKUST
Qi Pang校友 · MPhil · 2020–2022	2020–2022 HKUST MPhil, CSE	MPhil 论文：Testing Models Solving Markov Decision Processes PhD, Carnegie Mellon University
Sen Li校友 · MPhil · 2022–2024CSE	2022–2024 HKUST MPhil, CSE	MPhil 论文：Towards Trustworthy Visual Generative Models: Reliable and Controllable Generation of Diffusion Models PhD, Penn State 与 Minhao Cheng 共同指导
Yichen Li校友 · MPhil · 2022–2024CSE	2022–2024 HKUST MPhil, CSE	MPhil 论文：Testing Secure Multi-Party Computation Compilers PhD, SUSTech
Ao Sun校友 · MPhil · 2023–2025CSE	2023–2025 HKUST MPhil, CSE 2023 University of Illinois Urbana-Champaign 本科在读	MPhil 论文：Enabling Explainable AI with Transformer Models: Opportunities and Limitations in Visual and Textual Concept Generation R&D Engineer, Huawei 2012 2023 年本科研究者条目列其后续去向为 HKUST PhD
LAU Pak Hin校友 · Undergraduate researcher · 2024	—
Yigit Sen校友 · Undergraduate researcher · 2024	—
Kaiwen Yang校友 · Research Assistant · 2024	—	PhD, Australian National University
Sarthak Singhal校友 · Undergraduate researcher · 2023	—	Security Intern, Deloitte
Qi Wu校友 · 2022-2023 · 2022–2023	—	MS, Carnegie Mellon University
Wenbo Li校友 · 2022-2023 · 2022–2023	—	MS, University of Southern California
Qihao He校友 · 2022-2023 · 2022–2023	—	MS, Texas A&M University
Wangkai Jin校友 · Research Intern · 2021	—	MSCS, Duke University
Yujie Wang校友 · 2020-2021 · 2020–2021	—	PhD, Washington University in St. Louis
Xirui Nie校友 · Research Intern · 2020	—	PhD, CUHK
Reiff Loris校友 · Undergraduate researcher	ETH Zurich 本科在读	Master, ETH Zurich
Nguyen Andy校友 · Undergraduate researcher	ETH Zurich 本科在读	Information Security Engineer, Google
Han Liu校友 · Postdoc · 2024–2026	—	Associate Professor, Nankai University
Congying Xu校友 · Postdoc · 2026	—	Research Scientist, Tencent Hunyuan

教育与履历

教育背景

Peking University
BSc
2018
Pennsylvania State University
PhD, Informatics

任职经历

2018–2019
ETH Zurich, AST Lab
Postdoctoral Scholar
2019–2024
HKUST CSE
Assistant Professor
HKUST CSE
Associate Professor

学术服务

软件/系统安全、AI 安全和隐私并行发展的研究者。

业界合作与实习

合作机构: 2家
合作记录: 2条
成员产业经历: 5条

学校项目记录列有企业资助的研究项目。

Innovation and Technology Fund, Qianxin International Co. Limited 资助研究项目
牵头项目 AC-Xray: A Platform for Dependability Assessment of Large Language Models in Industrial Sectors（2026 -）
Google Asia Pacific Pte Ltd 资助研究项目
牵头项目 Exploiting and Mitigating Side Channels in AI Infrastructures（2023 - 2024）

成员实习与产业经历

2020-10–2021-07
Yongkang Zhang · Alibaba Group, Cluster Management Group
Research Intern
2020-07–2020-10
Yongkang Zhang · Microsoft Research Asia, Networking Research Group
Research Intern
2022-02–2022-08
Dong Chen · Alibaba Cloud
Research Intern（本科毕业前后、入读 HKUST 前）
2023-06–2023-09
Dong Chen · Nokia Bell Labs
Research Intern（PhD 期间）
2024-04–2024-10
Dong Chen · Nokia Bell Labs
Research Intern（PhD 期间）

学术影响与网络关注

计算标准

院系样本分位

累计引用33P33

h-index41P41

2024–2026 论文91P91

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 257 篇 · i10-index 67 · 截至 2026-10-17

Wei WANG

王威

Associate Professor

个人主页 · 学校档案 · 档案

博士毕业于: University of Toronto · 2015
研究主线: Big data；Parallel and distributed systems；Cloud computing；Computer networking；AI cloud infrastructure；Serverless AI and intelligent cluster management

累计引用: 3,325次
h-index: 31
2024–2026 论文: 62篇
在组成员: 20人

研究方向

Big data
Parallel and distributed systems
Cloud computing
Computer networking
AI cloud infrastructure
LLM pretraining、reinforcement learning、generative inference 的系统设计。
Serverless AI and intelligent cluster management
招募方向包含 serverless AI、training/inference frameworks 与 AI-assisted cluster management。

早期 networking/distributed systems 延伸到 serverless scheduling、GPU sharing 和训练集群；2024–2026 并行推进稀疏 GPU 算子、推理 serving、fail-slow/straggler 与 RL 系统，另有 differential privacy 理论合作。

实际瓶颈测量、系统机制与端到端收益

DTC-SpMM→SpInfer 是算子连续线；PipeMorph 分别处理依赖 bubble 和 head-of-line blocking；主页强调可实现的通用方案。

代表论文与近期发表

2024DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor CoresASPLOS

研究问题: 通用稀疏矩阵难以兑现 Tensor Core 加速。
核心方法: 协同压缩格式、重排、访存与运行时 pipeline。
实验结果: 案例端到端 GNN training 相对常用框架最高 1.91 倍。
实验条件与边界: 原实现针对 NVIDIA 与 TF32；其他精度需要独立验证。
课题组研究线: 后续低稀疏 LLM 算子优化基础。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUsEuroSys

研究问题: 约 50% 稀疏度时索引与 SpMM 开销吞噬 pruning 收益。
核心方法: TCA-BME bitmap、共享内存解码与异步 pipeline。
实验结果: 30%–70% 稀疏度范围端到端最高 1.58 倍，30% 稀疏即可超过所测 cuBLAS。
实验条件与边界: 依赖已稀疏化模型与对应 GPU；剪枝精度问题有独立前提。
课题组研究线: 延续 DTC-SpMM 的表示和 kernel 协同。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2026Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model TrainingNSDI

研究问题: 少量慢通信经依赖与 GPU 排队放大为训练 bubble。
核心方法: PipeMorph 自适应 pipeline schedule，并用 CPU-side RDMA 避免 GPU HOL blocking。
实验结果: 通信 stragglers 下 1.2–3.5 倍加速，RNIC 失败时零重启。
实验条件与边界: 针对通信型 straggler；额外 host memory 与 CPU 路径需资源条件。
课题组研究线: 把训练性能优化推进到异常恢复。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 62 篇）

2026 年21 篇

2025 年26 篇

2024 年15 篇

实验室与成员

博士生: 15
硕士生: 2
博士后: 3

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Big data；Parallel and distributed systems；Cloud computing；Computer networking；AI cloud infrastructure；Serverless AI and intelligent cluster management

在组成员20

成员	教育背景	研究方向与经历
Kaihua FuPostdoc · 2024–	UESTC BSc Shanghai Jiao Tong University PhD
Wei GaoPostdoc · 2025– GitHub · Google Scholar GitHub 关注 93 Stars 52	2019 Beihang University BEng Nanyang Technological University PhD	RL post-training systems、agentic AI infrastructure、world-model training/serving Alibaba Group · Researcher（个人主页列与 HKUST postdoc 并行）博士导师 Yonggang Wen、Tianwei Zhang；ROLL 核心贡献者
Wangbo ZhaoPostdoc · 2026–	Northwestern Polytechnical University BSc Northwestern Polytechnical University MSc NUS PhD
Dong ChenPhD · 2022–CSE GitHub GitHub 关注 18 Stars 4	2022 Peking University BSc, Computer Science	Alibaba Cloud · Research Intern（本科毕业前后、入读 HKUST 前）2022-02–2022-08 Nokia Bell Labs · Research Intern（PhD 期间）2023-06–2023-09 Nokia Bell Labs · Research Intern（PhD 期间）2024-04–2024-10 与 Shuai Wang 共同指导；HKUST RedBird Scholarship；曾在北京大学担任 TA；Bell Labs mentor Ruichuan Chen
Haoxuan YuPhD · 2022–CSE	2022 USTC School of the Gifted Young BEng, Computer Science and Technology	HKUST RedBird Scholarship
Yuheng ZhaoPhD · 2022–CSE	2022 Fudan University BSc, Computer Science and Technology	Microsoft Research Asia · Research Intern（本科期间） 2021 年参加 University of Chicago 研究项目；Microsoft Research Asia Stars of the Future Award
Hanfeng LuPhD · 2023–CSE	2022-12 Grinnell College BA, Mathematics and Computer Science	本科研究：Representation Theory、Programming Language Theory、Reinforcement Learning、Linux Kernel 本科期间担任 CS 系 TA 和 peer mentor
Tianyuan WuPhD · 2024–CSE	2021 ShanghaiTech University, School of Information Science and Technology BEng	Microsoft Research Asia · Research Intern（2024 入读 PhD 前）2022–2023 本科获 Excellent Undergraduate Thesis Award、Outstanding Undergraduate Award；Microsoft Research Asia Stars of the Future Award
Sheng YaoPhD · 2024–CSE Google Scholar · GitHub GitHub 关注 0 Stars 0	2022 Ohio State University BSc, CSE	distributed ML systems、AI infrastructure Alibaba Cloud · Research Intern（PhD 期间，主页列当前） Magna Cum Laude；Ganobcik Family/Genesis Endowed Scholarship；入读 PhD 前在 SJTU IPADS 随 Zhaoguo Wang 任 RA 一年
Chaokun ChangPhD · 2024–CSE	Fudan University BSc, Computer Science and Technology CUHK MPhil, CSE	Microsoft Shanghai · Intern AWS AI Lab Shanghai · Intern, ML systems 与 Bo Li 共同指导；Outstanding Undergraduate Award、Fanhai Scholar Award
Yukun ZhouPhD · 2024–CSE GitHub GitHub 关注 24 Stars 4	2021 Nanjing University BEng, Software 2024 Tsinghua University MEng, Software	ML systems、distributed time-series DBMS 与 Binhang Yuan 共同指导；硕士导师 Jianmin Wang、Xiangdong Huang；2021 年南京大学优秀毕业生；Apache IoTDB Committer，2021-03–2024-06 开发维护时序元数据存储引擎
Xiaoxiao JiangPhD · 2024–CSE	2024 Zhejiang University BEng, Computer Science and Technology	Outstanding Engineer Scholarship、First Class Scholarship
Lunxi CaoPhD · 2024–CSE	2024 Tsinghua University BEng, Computer Science and Technology	2023 年 Academic Excellence Scholarship
Jiayu AnPhDCSE	—	共同指导
Xinyue TaoPhDCSE	—
Yining WeiPhDCSE	—
Tianyu FengPhDCSE	—
Yuchen YangPhDCSE	—
Dakai AnMPhilCSE	—
Heyang SunMPhilCSE	—	共同指导

校友与去向28

成员	教育背景	研究方向与经历
Peng Ye校友 · PhD · 2026CSE	2021 Tsinghua University BEng, Computer Science (IIIS / Yao Class) 2026 HKUST PhD	privacy-preserving machine learning 与 Bo Li 共同指导
Suyi Li校友 · PhD · 2025CSE	2018 BUPT BSc, IoT Engineering 2019 Yale University MSc, Computer Science 2025 HKUST PhD	2015、2016 年 National Scholarship
Lingyun Yang校友 · PhD · 2025CSE	2020 South China University of Technology, School of Computer Science and Engineering BEng 2025 HKUST PhD	Microsoft Research Asia · Research Intern（本科期间，一年） Senior Software Engineer (P7) in Alibaba under the Alibaba Star (阿里星) program. National Scholarship；本科期间参加编程竞赛并获奖
Zhifeng Jiang校友 · PhD · 2024CSE DBLP · ORCID DBLP 近三年 8	2019 Zhejiang University BEng, Computer Science and Technology 2024 HKUST PhD	UC San Diego · Intern Huawei Research Institute · Intern Research Scientist at Huawei Technologies. Zhejiang Outstanding Graduate；2017 年 National Scholarship、He Zhijun Scholarship；2018 年浙江日报与阿里巴巴联合资助的 New Media Scholarship；曾在浙江大学担任 TA
Minchen Yu校友 · PhD · 2023CSE LinkedIn · GitHub · Google Scholar · ORCID GitHub 关注 39 Stars 73	2018 Nanjing University, School of Software BSc 2023 HKUST PhD	Assistant Professor, School of Data Science , The Chinese University of Hong Kong, Shenzhen . National Scholarship、Huawei PhD Fellowship
Qizhen Weng校友 · PhD · 2022 简历 · GitHub · DBLP · ORCID DBLP 近三年 12 GitHub 关注 139 Stars 3	2017 Shanghai Jiao Tong University, School of Information Security Engineering BEng 2022 HKUST PhD University of California, Berkeley Exchange student	Systems Researcher at the Shanghai AI Lab . Shanghai Outstanding Graduate；2016 年 CIDF Cyber-Security Scholarship；HKPFS 2017–2020
Huangshi Tian校友 · PhD · 2022	Zhejiang University BEng, Computer Science and Technology 2022 HKUST PhD	Postdoctoral Fellow at the University of Toronto. 2014、2015 年 National Scholarship；HKPFS 2017–2020
Da Yan校友 · PhD · 2022 简历 · GitHub GitHub 关注 0 Stars 0	2016-07 HUST, School of Electronic Information and Communications BEng 2022 HKUST PhD	Systems Researcher at Anthropic , New York City, NY, USA.
Mingzhe Li校友 · PhD · 2022	2016-07 SUSTech BEng 2022 HKUST PhD	Research Scientist at A*STAR . HKUST–SUSTech 联合博士项目；与 Jin Zhang 共同指导
Luping Wang校友 · PhD · 2021	2016 Tsinghua University BEng, Automation 2021 HKUST PhD	用机器学习优化大规模系统的运行与资源管理 Senior Software Engineer (P7) in Alibaba Cloud Intelligence under the Alibaba Star (阿里星) program. 与 Bo Li 非正式共同指导
Chengliang Zhang校友 · PhD · 2021 简历 · LinkedIn · Google Scholar · GitHub GitHub 关注 79 Stars 152	2016-07 Harbin Institute of Technology, School of Software BEng 2021 HKUST PhD	Data Scientist at Seleya Technologies (a FinTech Startup in HK). HKPFS 2016–2019
Yinghao Yu校友 · PhD · 2019	2015-07 Fudan University BSc, Electrical Engineering 2019 HKUST PhD UCLA Exchange student	Senior Software Engineer (P7) in Alibaba Cloud Intelligence under the Alibaba Star (阿里星) program. 与 Khaled B. Letaief 共同指导；HKPFS 2015–2018
Chen Chen校友 · PhD · 2018 DBLP · ORCID DBLP 近三年 57	2014 Tsinghua University BEng, Automation 2014–2018 HKUST PhD	Research Scientist at Huawei Research Lab, Hong Kong; then an Associate Professor, John Hopcroft Center for Computer Science, Shanghai Jiao Tong University . 与 Bo Li 共同指导；2013 年夏在 UC Santa Barbara 任 RA
Yunchuan Zheng校友 · MPhil · 2023CSE	2019 Southeast University BEng, CSE 2023 HKUST MPhil	2016、2017 年 National Scholarship；Huawei PhD Fellowship
Xiandong Qi校友 · MPhil · 2019	2016 SUSTech BEng 2019 HKUST MPhil	Software Engineer at AQUMON , Hong Kong. 与 SUSTech 的 Jin Zhang 共同指导；本科期间在 HKU 任 RA
Qinkai Duan校友 · Research Intern · 2024-06–2025-05	2025 HKUST BSc	PhD, CSE, CUHK
Hao Wu校友 · Visiting PhD student · 2023-12–2024-12	2025 HUST PhD	Postdoc, Computer Science, HKU
Pu Guo校友 · Research Intern · 2024-06–2024-09	2023 University of Wisconsin–Madison BSc	MSc, CSE, UC San Diego
Shiqi He校友 · Research Intern · 2023-06–2023-08	2020 Hong Kong Polytechnic University BSc 2023 University of British Columbia MASc	PhD, CSE, University of Michigan
Zhuohao Li校友 · Undergraduate Intern · 2023-02–2023-06	2023 Shanghai Jiao Tong University BSc	PhD, Computer Science, UCLA
Tingjia Cao校友 · Research Intern · 2021-04–2021-08	2020 Fudan University BSc, Computer Science and Technology	high-performance serverless computing systems PhD, Computer Science, University of Wisconsin–Madison
Junzhe Xia校友 · Undergraduate Intern · 2019–2021	2021 HKUST BSc	MS, Computer Science, Stanford University
Baichen Yang校友 · Undergraduate Intern · 2018–2021	2021 HKUST BSc	PhD, CSE, HKUST
Huancheng Puyang校友 · Undergraduate Intern · 2019–2021	2021 HKUST BSc	PhD, CSE, CUHK
Xiaohe Cheng校友 · Undergraduate Intern · 2018–2019	2020 HKUST BSc	Google
Shengkai Zhang校友 · Research Intern · 2015-10–2016-07	HKUST MPhil	PhD, Electronic Information and Communications, HUST
A-Long Jin校友 · Research Intern · 2016-01–2016-06	University of New Brunswick MSc	PhD, ECE, University of Waterloo
Zhili Wang校友 · PhD · 2024Individualized Interdisciplinary Program (Data Science and Analytics)	2024 HKUST PhD	共同指导

教育与履历

教育背景

2007
Shanghai Jiao Tong University
BEng, Information Engineering
2010
Shanghai Jiao Tong University
MEng, Information Engineering
导师 Chen He
2015
University of Toronto
PhD, Electrical and Computer Engineering
导师 Baochun Li；Ben Liang

任职经历

2007-03–2007-06
Microsoft Research Asia
Research Assistant, Internet Media Group
2008-06–2008-09；2010-03–2010-06
Microsoft Server and Tools Business
Software Development Engineer Intern
2010-09–2015-08
University of Toronto, ECE
Research / Teaching Assistant
2015-09–2021-06
HKUST CSE
Assistant Professor
2021-07–
HKUST CSE
Associate Professor (with tenure)

学术服务

云与机器学习系统方向，近年有多个主要系统会议奖项。

主页记录 EuroSys 2025 SpInfer Best Paper、NSDI 2026 PipeMorph Outstanding Paper；系页记录 SoCC 2023 Best Paper。

指导方式与组内生活

系统能力与数学

主页欢迎具备实际系统构建能力或数学基础的学生；项目工作覆盖测量、分析、设计和实现大型分布式系统。

业界合作与实习

合作机构: 3家
合作记录: 4条
成员产业经历: 12条

学校项目记录列有企业资助的研究项目。

Innovation and Technology Fund, Qianxin International Co. Limited 资助研究项目
参与项目 AC-Xray: A Platform for Dependability Assessment of Large Language Models in Industrial Sectors（2026 -）
Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 Holistic Approaches to Accelerating Distributed Inference of Large Language Models Phase II（2025 -）
Alibaba (China) Co., Ltd 资助研究项目
参与项目 HKUST-Alibaba Joint Lab on Big Data and AI（2024 -）
Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 Holistic Approaches to Accelerating Distributed Inference of Large Language Models（2024 - 2025）

成员实习与产业经历

2022-02–2022-08
Dong Chen · Alibaba Cloud
Research Intern（本科毕业前后、入读 HKUST 前）
2022–2023
Tianyuan Wu · Microsoft Research Asia
Research Intern（2024 入读 PhD 前）
2023-06–2023-09
Dong Chen · Nokia Bell Labs
Research Intern（PhD 期间）
2024-04–2024-10
Dong Chen · Nokia Bell Labs
Research Intern（PhD 期间）
Yuheng Zhao · Microsoft Research Asia
Research Intern（本科期间）
Sheng Yao · Alibaba Cloud
Research Intern（PhD 期间，主页列当前）
Chaokun Chang · Microsoft Shanghai
Intern
Chaokun Chang · AWS AI Lab Shanghai
Intern, ML systems
Lingyun Yang · Microsoft Research Asia
Research Intern（本科期间，一年）
Wei Gao · Alibaba Group
Researcher（个人主页列与 HKUST postdoc 并行）
Zhifeng Jiang · UC San Diego
Intern
Zhifeng Jiang · Huawei Research Institute
Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用41P41

h-index48P48

2024–2026 论文73P73

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 157 篇 · i10-index 62 · 截至 2026-10-17

Dan XU

徐旦

Associate Professor

个人主页 · 学校档案 · 档案

实验室: Dan Xu 研究组
博士毕业于: University of Trento · 2018
研究主线: 3D 场景理解与重建；结构化与多任务视觉；生成模型

累计引用: 7,880次
h-index: 39
2024–2026 论文: 60篇
在组成员: 23人

研究方向

3D 场景理解与重建
深度、SLAM、NeRF、3DGS、空间基础模型。
结构化与多任务视觉
多模态表征、dense prediction、开放世界 detection 和 segmentation。
生成模型
3D、4D、talking head、可控视频和感知生成统一模型。

早期 PAD-Net、depth estimation 与 structured representation 建立密集感知主线；2023—2024 的 Switch-NeRF 与 GS-SLAM 转向场景表示，2025—2026 的 HyRF、FlashVGGT 控制显存与长序列成本，同时保留多任务和生成分支。公开作品显示问题和系统资源之间的连续推进。

结构化场景表示与效率约束驱动

三年代表作持续研究重建质量、渲染或推理效率及长序列扩展。

代表论文与近期发表

2024GS-SLAM: Dense Visual SLAM with 3D Gaussian SplattingCVPR 2024，Highlight

研究问题: Neural implicit SLAM 的地图优化与渲染成本限制实时性。
核心方法: 以 3DGS 表示场景，自适应增加和删除高斯；采用 coarse-to-fine 可靠高斯选择来优化相机位姿。
实验结果: 项目摘要报告 Replica、TUM-RGBD 上有竞争力的实时追踪与建图；页面另报告渲染平均 386 FPS。
实验条件与边界: 386 FPS 是渲染指标，不能当作整体 SLAM 吞吐。
课题组研究线: 把三维显式表征用于在线感知。
核阅章节: 作者项目 Overview（摘要等价完整段）、Method Overview、Rendering result 说明

2025HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View SynthesisNeurIPS 2025

研究问题: 显式高斯的逐点参数占据大量显存，神经压缩又可能损失高频细节。
核心方法: 将关键高频参数保留为显式高斯，其余由分离几何与颜色的 grid neural fields 预测，并混合背景渲染。
实验结果: 作者摘要报告相对 3DGS 模型大小缩小超过 20 倍，同时维持实时表现和高质量。
实验条件与边界: 压缩比随场景变化；页面例图的各场景压缩比有差异，20 倍采用论文摘要的汇总口径。
课题组研究线: 探索表示质量、体积与速度的共同边界。
核阅章节: Abstract（完整）、Method Overview、项目页分场景模型大小

2026FlashVGGT: Efficient and Scalable Visual Geometry Transformers with Compressed Descriptor AttentionCVPR 2026

研究问题: VGGT 全局全 token attention 在长图像序列上产生二次计算成本。
核心方法: 每帧压缩 descriptor tokens，以全量 queries 对小 descriptor 集做 cross-attention，并缓存 descriptor 做 chunk-recursive 推理。 Introduction 明确 global attention 从 O(N²) 降为 O(N²/r²)，r 是空间压缩比；固定 r 时仍保持 N 的二次阶。
实验结果: 作者报告 1,000 张图像的推理时间为 VGGT 的 9.3%，精度有竞争力，可扩展到超过 3,000 图像。
实验条件与边界: Conclusion 记录了短序列场景中的轻微性能下降。
课题组研究线: 由每场景表示效率推进到通用几何 Transformer 的规模效率。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Conclusion（完整）

2025Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task LearningICCV 2025

研究问题: 多任务优化需要同时维持各任务有效训练和任务间的互补信息共享。
核心方法: 在共享表示上计算任务显著性；TSR 用熵正则保留任务特定信号，CSA 用样本级对比对齐促进共享。方法作为正则项加入现有训练，无需改优化器或网络结构。
实验结果: 四个含任务转移和域转移的 benchmark 中，采用等权损失时取得有竞争力的改善；引言报告比 Nash-MTL、FairGrad 分别快约 26%、12%。
实验条件与边界: 结果来自给定网络、任务和 benchmark；计算优势依比较的梯度操纵方法与实验设置。
课题组研究线: 延续多任务、结构化视觉的长期主线，展示共享表示层面的优化工作仍与三维和生成方向并行。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Conclusion（完整）

2024–2026 论文目录（共 60 篇）

2026 年18 篇

2025 年25 篇

2024 年17 篇

实验室与成员

Dan Xu 研究组

博士生: 19
博士后: 1
RA、访问与其他: 3

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

3D 场景理解与重建；结构化与多任务视觉；生成模型

在组成员23

成员	教育背景	研究方向与经历
Jiaying LinPostdoc Researcher	City U HK
Lian XuVisiting Postdoc Researcher	UWA
Yang CaoPhD, CSE overleaf.com · X · Google Scholar · GitHub · LinkedIn · DBLP · ORCID · OpenAlex DBLP 近三年 12 OpenAlex 近三年 4 引用 22 h-index 3 GitHub 关注 116 Stars 655	Nankai U.	Megvii · Research Intern2019-04–2019-07
Yuxin WangPhD, CSE 简历 · Google Scholar · GitHub GitHub 关注 68 Stars 309	2019 USTC Bachelor USTC	三维操作、空间推理、结构化可编辑三维系统 SenseTime · Intern / Researcher2019–2022 Tencent · Research Intern2025–
Qicheng WangPhD, IIP (Robotics and Autonomous Systems) DBLP 近三年 16	HIT	co-supervised with Michael Yu Wang
Qi WangPhD, IIP (Robotics and Autonomous Systems) GitHub · Google Scholar GitHub 关注 6 Stars 34	SUSTech	co-supervised with Michael Yu Wang
Shuling ZhaoPhD, CSE Google Scholar · GitHub GitHub 关注 4 Stars 90	Tsinghua University Bachelor, Electronic Engineering Tsinghua U.	视频与音频驱动数字人生成、可动画三维人体
Yingji ZhongPhD, CSE Google Scholar · GitHub GitHub 关注 26 Stars 218	Peking University Master Peking U.	新视角合成、三维重建、世界模型的三维一致性
Jaehyeok KimPhD, CSE Google Scholar · GitHub GitHub 关注 12 Stars 20	HKUST Bachelor, Computer Science HKUST	三维场景重建编辑、动态人体 NeRF／3DGS Naver Clova · Research Intern
Xunzhi ZhengPhD, CSE	SJTU
Shaocong DongPhD, CSE · 2023– Google Scholar · GitHub GitHub 关注 12 Stars 357	2020 Beijing Institute of Technology BSc, Optoelectronics Information Science and Engineering 2023 Beijing Institute of Technology MSc, Optoelectronics Information Science and Engineering 2023– HKUST PhD, CSE BIT	高质量可控三维生成、扩散模型与 NeRF SenseTime · Research Intern2023-05–2023-09 Qcraft · Research Intern
Zedong (Jacky) WangPhD, CSE Google Scholar · X · LinkedIn · GitHub GitHub 关注 25 Stars 0	Huazhong University of Science and Technology BEng HUST	多任务学习、多模态理解与生成、模型架构 Apple AIML · Research Intern2026-03–2026-09
Jinfeng LiuPhD, CSE Google Scholar · GitHub GitHub 关注 15 Stars 187	2021 Shanghai Jiao Tong University Bachelor 2024 Shanghai Jiao Tong University Master SJTU	三维／四维重建、空间智能、世界模型
Chi YanPhD, CSE Google Scholar · GitHub GitHub 关注 37 Stars 302	2022 Northwestern Polytechnical University Bachelor 2022–2023 Shanghai Jiao Tong University PhD programme（离开项目） NWPU	多模态理解与空间智能
Yucheng WangPhD, CSE · 2024– X · LinkedIn · GitHub · Google Scholar · Semantic Scholar S2 近三年 6 引用 145 h-index 3 GitHub 关注 26 Stars 2	2023 ETH Zurich Exchange, Computer Science 2024 HKUST BSc, Computer Science; BEng, Electronic Engineering 2024– HKUST PhD, Computer Science HKUST	视觉语言模型、生成模型、三维表示 SmartMore · Research Intern2023-11–2024-01 ETH Zurich Computer Vision Laboratory · Research Intern2023-08–2023-11
Zipeng WangPhD, CSE 简历 · Google Scholar · GitHub GitHub 关注 7 Stars 210	Beihang University BEng HKUST (Guangzhou) MPhil HKUST(GZ)	高效三维重建与感知、事件相机现于 HKUST 跟随 Dan Xu 读博；此前 MPhil 在 HKUST (Guangzhou)，导师 Lin Wang
Qin GuoPhD, CSE · 2025– GitHub GitHub 关注 151 Stars 3,314	2022 Xidian University BEng, Information Security 2025 Peking University MS, Computer Science 2025– HKUST PhD, Computer Science Peking U.	图像视频生成编辑、交互世界模型 Alibaba DAMO Academy · Research Intern2024–2025 Pika Labs · Research Intern2024 Meituan · Research Intern2025–2026
Naman PorwalUndergraduate (Intern)	Indian Institute of Technology (IIT) Undergraduate
Zichen LiuUndergraduate (Intern)	HKUST Undergraduate
GAO, YuanyuanPhD, CSE	—
GUO, ZilinPhD, CSE	—
RUAN, HongzhiPhD, CSE	—
ZHANG, TianruiPhD, CSE	—

校友与去向12

成员	教育背景	研究方向与经历
Fating Hong校友 · PhD, CSE · 2021–2026 Google Scholar · GitHub · X · LinkedIn GitHub 关注 155 Stars 3,736	2018 South China University of Technology Bachelor, Computer Science and Technology 2021 Sun Yat-sen University Master, Computer Science and Technology 2026 HKUST PhD, Computer Science 2026 HKUST PhD, CSE SYSU	音视学习、数字人生成、人体动作编辑 Postdoctoral Fellow, KAUST；与 Peter Wonka 合作
Zhenxing Mi校友 · PhD, CSE · 2026 简历 · Google Scholar · GitHub GitHub 关注 126 Stars 667	Huazhong University of Science and Technology Bachelor, Automation Huazhong University of Science and Technology Master, Automation 2026 HKUST PhD, CSE HUST	多模态理解与生成、三维／四维重建、世界模型 Snap Research · Research Intern2024
Hanrong Ye校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE	Research Scientist at Nividia Research in Carlifornia , USA
Lewei Yao校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE	Research Scientist at Huawei's Noah's Ark Lab in Hong Kong
Yuzhang Shang校友 · Visiting PhD Student Google Scholar · GitHub · LinkedIn GitHub 关注 32 Stars 372	—	Assistant Professor at University of Central Florida (UCF) , USA
Jingdong Zhang校友 · Research Assistant GitHub GitHub 关注 18 Stars 148	—	PhD candidate at Texas A&M University (TAMU) , USA
Siwei Yang校友 · Visiting Student	—	PhD candidate at University of California, Santa Cruz (UCSC) , USA
Yongtuo Liu校友 · PG Visiting Student	—	PhD candidate at University of Amsterdam (UVA) , Netherland
Yuanliang Ju校友 · UG Visiting Student	—	PhD candidate at University of Toronto (UoT) , Canada
Di Chang校友 · UG Visiting Student	—	PhD candidate at University of Southern California (USC) , USA
Xiaoyue Xu校友 · UG Visiting Student Google Scholar · GitHub · X GitHub 关注 12 Stars 3	—	PhD Candidate at Tsinghua University , China
MEI, Xiaodong校友 · PhD, CSE · 2026	2026 HKUST PhD, CSE

教育与履历

教育背景

2018
University of Trento
PhD, Information and Communication Technology
导师 Nicu Sebe

任职经历

HKUST
Associate Professor
University of Oxford
Postdoctoral Researcher, VGG
CUHK
Visiting PhD Student, MMLab

学术服务

2026 年官方名录为 Associate Professor；研究积累围绕结构化视觉和三维场景。

业界合作与实习

合作机构: 5家
合作记录: 5条
成员产业经历: 13条

Huawei Technologies Co., Ltd.；Westwell Holdings (Hong Kong) Limited；Sensible Lab Limited；Shanghai AI Lab；Zhejiang ZEEKR Automobile Research and Development Company

Huawei Technologies Co., Ltd. 资助研究项目
面向自动驾驶的四维场景重建，一期 2024–、二期 2025–；负责人
Westwell Holdings (Hong Kong) Limited 资助研究项目
多层停车场 SLAM；负责人；2025–
Sensible Lab Limited 资助研究项目
与 Innovation and Technology Fund 联合资助可编辑三维场景与实时渲染的视频制作；负责人；2025–
Shanghai AI Lab 资助研究项目
无监督三维场景分解的大规模 NeRF 重建；负责人；2023–
Zhejiang ZEEKR Automobile Research and Development Company 资助研究项目
自动驾驶多模态多任务学习、开放世界场景建模与检测；负责人；2023–

成员实习与产业经历

2019-04–2019-07
Yang Cao · Megvii
Research Intern；2019 年个人主页所列经历；Research Intern
2019–2022
Yuxin Wang · SenseTime
个人主页所列 2019–2022 年实习及研究经历；Intern / Researcher
2023-05–2023-09
Shaocong Dong · SenseTime
Research Intern；SenseTime 经历跨越硕士毕业与博士入学时间；Research Intern
2023-11–2024-01
Yucheng Wang · SmartMore
Research Intern；两段均为本科阶段，早于 2024 年博士入学；Research Intern
2023-08–2023-11
Yucheng Wang · ETH Zurich Computer Vision Laboratory
Research Intern；两段均为本科阶段，早于 2024 年博士入学；Research Intern
2024
Zhenxing Mi · Snap Research
Research Intern；HKUST 博士阶段；Research Intern
2024–2025
Qin Guo · Alibaba DAMO Academy
Research Intern；Pika 与 Alibaba 主要在硕士阶段；Meituan 经历覆盖博士入学后；Research Intern
2024
Qin Guo · Pika Labs
Research Intern；Pika 与 Alibaba 主要在硕士阶段；Meituan 经历覆盖博士入学后；Research Intern
2025–
Yuxin Wang · Tencent
Research Intern；SenseTime 为入组前工作；Tencent 为 HKUST 博士阶段；Research Intern
2025–2026
Qin Guo · Meituan
Research Intern；Pika 与 Alibaba 主要在硕士阶段；Meituan 经历覆盖博士入学后；Research Intern
2026-03–2026-09
Zedong (Jacky) Wang · Apple AIML
Research Intern；HKUST 博士阶段；Research Intern
Jaehyeok Kim · Naver Clova
Research Intern；成员个人主页所列经历；Research Intern
Shaocong Dong · Qcraft
Research Intern；SenseTime 经历跨越硕士毕业与博士入学时间；Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用66P66

h-index61P61

2024–2026 论文72P72

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 206 篇 · i10-index 79 · 截至 2026-10-17

GitHub · danxuhk个人账号

关注者: 178人
Stars: 308
公开仓库: 18

Hao CHEN

陳浩

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: SmartX Lab
博士毕业于: CUHK · 2017
研究主线: 大模型与可信医疗 AI；计算病理与多组学；AI for Science 与干预系统

累计引用: 30,143次
h-index: 69
2024–2026 论文: 206篇
在组成员: 52人

研究方向

大模型与可信医疗 AI
泛化、多模态、解释、隐私及医学基础模型。
计算病理与多组学
Whole-slide 病理、病理基础模型、生存预测和基因组整合。
AI for Science 与干预系统
Bioinformatics、computer-assisted intervention/XR、医工转化。

早期代表作是腺体分割和胎儿超声标准切面检测，后续进入病理、多模态预后与跨域诊断，2025—2026 构建医疗 foundation models。连续目标是医学影像可用性与可信度，规模化数据和基础模型成为新的技术路径。

领域数据与模型机制共同驱动

PIBD 处理病理组学冗余，GSCo 组合通用和专科知识，ConceptCLIP 把临床概念加入预训练；临床结局证据需要与 benchmark 分开。

代表论文与近期发表

2024Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival PredictionICLR 2024，Spotlight

研究问题: 病理 WSI 与基因组同时存在模态内无关信息和模态间重复信息。
核心方法: PIB 用风险等级原型挑选信息，PID 分离共享和特有表征，减少冗余。
实验结果: 作者报告 5 个癌症基准上的生存预测优势并公开代码。
实验条件与边界: 基准预测性能与临床诊疗收益是不同证据。
课题组研究线: 延续病理与多组学的结构化表征。
核阅章节: Abstract（完整摘要）

2025GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationNature Biomedical Engineering（教师页）；所读 arXiv v2

研究问题: 通用医学基础模型的灵活性与专科模型的精度需要协同。
核心方法: 构建 MedDr 与轻量 specialists，以 MoED 的诊断参考和 RAD 的相似病例检索共同指导推理。
实验结果: 所读稿在 28 个数据集、约 250K 图像上评估，报告域外诊断超过单独 generalist 和 specialist。
课题组研究线: 把专科影像模型积累用于更广的协作式诊断。
核阅章节: Abstract（完整）、Introduction 与 Discussion 中已检索返回的框架说明段

2026An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision–Language PretrainingNature Biomedical Engineering，2026-08-17

研究问题: 高性能医学多模态模型需要临床可解释的概念关联。
核心方法: ConceptCLIP 用 23M image-text-concept triplets 联合 image-text 和 region-concept 对齐。 arXiv v2 说明 UMLS 标准概念来自 6.2M 科研文章，视觉 encoder 为 400M；这些为版本特定架构信息。
实验结果: 正式发表摘要报告 78 个数据集、10 类影像模态；覆盖 3 模态的 clinician study 支持概念解释帮助验证预测与识别错误。
实验条件与边界: v2 明确罕见病覆盖有限、解释依赖预定义概念，open-set biomarker discovery 尚未探索，并要求更多真实临床验证；发表版与 v2 评测规模分别记录。
课题组研究线: 将可信模型目标落实到预训练概念与临床解释接口。
核阅章节: 正式发表版 Abstract（完整）、arXiv v2 的 1 Introduction（完整）、arXiv v2 的 Discussion（完整，含总结与 Limitations）

2024–2026 论文目录（共 206 篇）

2026 年63 篇

2025 年77 篇

2024 年66 篇

实验室与成员

SmartX Lab

博士生: 43
硕士生: 2
博士后: 6
RA、访问与其他: 1

所在单位: HKUST CSE、CBE、LIFE
地点: Clear Water Bay, Hong Kong

大模型与可信医疗 AI；计算病理与多组学；AI for Science 与干预系统

在组成员52

成员	教育背景	研究方向与经历
Xi WangResearch Assistant Professors GitHub · Google Scholar GitHub 关注 4 Stars 2	2013 Southwest University BEng, Software Engineering 2016 Sichuan University MSc, Computer Science and Technology 2020 CUHK PhD, CSE	医疗图像、复杂系统与医学物理
Hua-jun ZhouPostdoctoral Fellows GitHub 关注 32 Stars 248	—
Zheng-rui GuoPostdoctoral Fellows GitHub 关注 30 Stars 160	2026 HKUST PhD, CSE
Zi-yi LiuPostdoctoral Fellows GitHub 关注 2 Stars 11	—
Zhe XuPostdoctoral Fellows · 1997 Google Scholar · GitHub GitHub 关注 7 Stars 25	2019 Xidian University BEng, Electronic Science and Technology 2024 Xidian University PhD, Electronic Science and Technology	多模态学习、视频理解、计算病理
Hong-Yi WangPostdoctoral Fellows	—	三维医学影像、计算病理、轻量模型
Yi-Jie LinPostdoctoral Fellows	Sichuan University PhD	稳健多模态自监督学习、交互与 agent 多模态学习、医疗 AI
Cheng JinPhD, CSE GitHub · Google Scholar GitHub 关注 30 Stars 60	UESTC 本科	病理图像分析、医疗影像基础模型
Feng-tao ZhouPhD, CSE	—
Hong-mei WangPhD, CSE GitHub 关注 7 Stars 1	—
Jia-bo MaPhD, CSE GitHub 关注 34 Stars 275	—
Jia-xin ZhuangPhD, CSE GitHub GitHub 关注 32 Stars 150	—
Juyoung BaePhD, CSE GitHub 关注 4 Stars 19	—
Wen-qiang LiPhD, CSE	—
Xiao-yu ZhengPhD, CSE GitHub 关注 3 Stars 3	—
Ying-xue XuPhD, CSE · 2022–	2019 South China University of Technology BEng, Computer Science 2022 South China University of Technology MSc, Computer Science 2022– HKUST PhD	计算病理、空间转录组、癌症多组学
Yu CaiPhD, ECE · 2022– 简历 · LinkedIn · GitHub · Google Scholar · ORCID · OpenAlex OpenAlex 近三年 18 引用 263 h-index 8 GitHub 关注 52 Stars 217	2022 Huazhong University of Science and Technology BEng, Electronic Information and Communications 2022– HKUST PhD, ECE	医学影像异常检测、计算病理、模型压缩 Co-supervision；共同指导
Ze-lin QiuPhD, CSE	—
Lin-shan WuPhD, CSE GitHub 关注 152 Stars 995	—
Shu YangPhD, CSE GitHub 关注 40 Stars 450	—
Su-nan HePhD, CSE · 2023–	2016–2020 Hefei University of Technology BS, Automation 2020–2023 Tsinghua University ME, Artificial Intelligence 2023– HKUST PhD, CSE	医学多模态基础模型、可解释医学 AI、临床智能体与长程工作流 Tencent YouTu · Researcher2021-07–2023-01 Microsoft Research Asia AI4Science · FA Talent2023-01–2023-07 JD Health TGT Project · Research Intern2026-04–
Wei-wen ZhangPhD, CSE · 2023-09–	2022 HKUST BSc, Data Science 2023 University of Hong Kong MSc, Computer Science 2023-09– HKUST PhD, CSE	计算病理学、内存高效学习 Co-supervision；共同指导
Ye-quan BiePhD, CSE	South China University of Technology BEng (Honors) UC Berkeley Visiting student, EECS	可信多模态基础模型、智能体、后训练与世界模型
Yi-hui WangPhD, CSE	—
Yu-xiang NiePhD, CSE · 2023–	2016–2020 Beijing Institute of Technology Bachelor 2023 Beijing Institute of Technology Master 2023– HKUST PhD, CSE	医学基础模型、医学智能体、自然语言处理与计算机视觉
Zhi-yuan CaiPhD, CSE GitHub 关注 8 Stars 33	—
Ali AbdollahiPhD, CSE GitHub 关注 3 Stars 0	—
Chen-Ran HuangPhD, CSE	—
De-Jia CaiPhD, CSE GitHub 关注 1 Stars 3	—
Jia-Rui Ou-YangPhD, CSE GitHub 关注 4 Stars 12	—
Ling LiangPhD, CSE	—
Qi-bo YuanPhD, CSE GitHub 关注 0 Stars 0	—
Qian ZengPhD, CSE GitHub 关注 5 Stars 28	—
Yi-Hang GaoPhD, CSE GitHub 关注 0 Stars 0	—
Zhi-xuan ChenPhD, CSE	2023 UESTC BEng, Electronic Science and Engineering 2023-09– HKUST PhD, CSE 2025 HKUST MPhil, CSE	多模态对齐、三维编码、区域理解与生成、强化学习后训练
Ke XuPhD, CSE GitHub 关注 0 Stars 0	—
Chen YuxiPhD, CSE	—
GAO RuiPhD, CSE Google Scholar · GitHub GitHub 关注 1 Stars 14	Fudan University BS UCLA MS	科学发现智能体、视觉语言模型与 LLM 强化学习
KWAK DowonPhD, CSE	—
Run-sheng LiuPhD, CSE	—
Siyuan DuanPhD, CSE Google Scholar · GitHub · ORCID · OpenAlex OpenAlex 近三年 6 引用 55 h-index 4 GitHub 关注 17 Stars 119	—	large vision-language models、foundation models for healthcare、physics-informed neural networks Alibaba · Research Intern2026-01–
Sylvia Chung Yan ShanPhD, CSE GitHub 关注 7 Stars 3	—
Xu JiahaoPhD, CSE Google Scholar · GitHub · LinkedIn GitHub 关注 15 Stars 51	2026 Wuhan University BEng, Computer Science, Hongyi Honors	医学图像、多模态基础模型与智能体
Juwon ParkMPhil, CSE	—
Lee HyunjinMPhil, CSE	—
CHENG, Ngai ShingPhD, CSE	—
HU, YikePhD, Civil Engineering	—	共同指导
DAI, RuyiPhD, CSE	—
NG, Ting KwongPhD, CSE	—
RUAN, YuyanPhD, Bioengineering	—	共同指导
WANG, MinghaoPhD, Bioengineering	—	共同指导
TAN, AndongPhD, CSE	—

校友与去向11

成员	教育背景	研究方向与经历
Lu-yang Luo校友 · Alumni	—	Assistant Professor at Yale University
Hai-bo Jin校友 · PhD, CSE · 2025	2025 HKUST PhD, CSE 2025 HKUST PhD	Inception Institute of Artificial Intelligence, Abu Dhabi · Algorithm Engineer2019–2021 Alibaba DAMO Academy · Senior Algorithm Engineer Senior Algorithm Engineer, Alibaba DAMO Academy, Hangzhou
Hao-xuan Che校友 · PhD, CSE · 2025	Northwestern Polytechnical University BEng (Honors) 2025 HKUST PhD, CSE 2025 HKUST PhD	世界模型、多模态生成、AI 智能体 Huawei Hong Kong AI Lab · Principal Researcher Independent Researcher
Yi Lin校友 · PhD, CSE · 2024 Google Scholar · ORCID · LinkedIn · GitHub · DBLP · OpenAlex · Semantic Scholar OpenAlex 近三年 37 引用 1,407 h-index 20 GitHub 关注 0 Stars 0	2016 Huazhong University of Science and Technology BE 2020 Huazhong University of Science and Technology ME 2024 HKUST PhD, CSE	数据高效、可信且面向临床的医学影像与多模态 AI Tencent Jarvis Lab · Full-time Researcher博士入学前 Postdoctoral Associate, Weill Cornell Medicine，合作导师 Yifan Peng
Ru-shan Zhang校友 · Alumni	2020–2024 HKUST BEng, Aerospace Engineering; BSc, Computer Science 2024– Georgia Tech PhD, Computational Science and Engineering 2024–2026 Georgia Tech MS, Mathematics	本科阶段参与医学 AI；博士阶段研究计算等离子体物理 PhD student, Georgia Tech
Hao Jiang校友 · PhD, CSE · 2026 Google Scholar · GitHub · ORCID · OpenAlex GitHub 关注 4 Stars 9	2022 Waseda University MS 2022 UESTC MS, dual degree 2026 HKUST PhD, CSE	计算病理学、细胞学与生物学 Postdoctoral Fellow at Macau University of Science and Technology
Ren-ao Yan校友 · Alumni · 2023-07–2023-12	2021 Hunan University BSE, Communication Engineering 2024 Tsinghua University MS, Electronic Information 2024-09– University of Washington PhD, Mechanical Engineering	计算病理学、多实例学习、神经架构搜索与量化 PhD student, University of Washington
Jun-lin Hou校友 · Alumni	—	Associate Editor at Nature Medicine
SON, Moo Hyun校友 · MPhil, CSE · 2026	2026 HKUST MPhil, CSE
XIN, Yi校友 · MPhil, CSE · 2026	2026 HKUST MPhil, CSE
ZHAO, Chenyu校友 · MPhil, CSE · 2025	2025 HKUST MPhil, CSE

教育与履历

教育背景

2017
CUHK
PhD, Computer Science and Engineering

任职经历

HKUST
Assistant Professor, CSE / CBE / LIFE
HKUST Collaboration Center for Medical and Engineering Innovation
Director
CUHK
Postdoctoral Research Fellow
Utrecht University Medical Center
Visiting Scholar

学术服务

医疗 AI 青年教师，兼属 CSE、CBE 与 Life Science，并任医工创新合作中心主任。

指导方式与组内生活

研究主页强调自驱与医疗、生命科学交叉研究。

研究方式

主页明确提出偏好 strong self-motivation，主题包含计算病理、多组学和大型医疗／科学模型。

业界合作与实习

合作机构: 6家
合作记录: 6条
成员产业经历: 8条

Shenzhen Broadcare Medical Robot Co., Ltd.；Hong Kong Tsure Biotechnology Co., Limited；CCF-Tencent；Shenzhen Yitu Intelligent Technology Co., Ltd；Shenzhen Annet Information System, Co., Ltd.；Imsight Technology Co., Limited

Shenzhen Broadcare Medical Robot Co., Ltd. 资助研究项目
医学大模型；负责人；2025–。此前合作核磁共振乳腺癌诊断、分型与预后评估项目，2022–2024
Hong Kong Tsure Biotechnology Co., Limited 资助研究项目
与 Innovation and Technology Fund 联合资助循环肿瘤细胞自动检测与分析平台；负责人；2025–
CCF-Tencent 资助研究项目
医学多模态基础模型；负责人；2025
Shenzhen Yitu Intelligent Technology Co., Ltd 资助研究项目
与 Innovation and Technology Fund 联合资助多模态影像引导的肝癌介入消融系统；负责人；2024–
Shenzhen Annet Information System, Co., Ltd. 资助研究项目
多模态乳腺癌筛查、诊断与新辅助化疗效果预测；负责人；2023–2026
Imsight Technology Co., Limited 资助研究项目
与 Innovation and Technology Fund 联合资助 HER2 FISH 图像定量分析（2023–2025）及多模态 COVID-19 辅助诊断（2022–2024）；负责人

成员实习与产业经历

2019–2021
Hai-bo Jin · Inception Institute of Artificial Intelligence, Abu Dhabi
Algorithm Engineer
2021-07–2023-01
Su-nan He · Tencent YouTu
Researcher
2023-01–2023-07
Su-nan He · Microsoft Research Asia AI4Science
FA Talent
2026-04–
Su-nan He · JD Health TGT Project
Research Intern；JD Health 在 HKUST 博士阶段；MSRA、Tencent 为博士入学前经历；Research Intern
2026-01–
Siyuan Duan · Alibaba
Research Intern；个人主页在 2025-10 报告获博士录取；2026-01 起实习；Research Intern
Hai-bo Jin · Alibaba DAMO Academy
Senior Algorithm Engineer
Hao-xuan Che · Huawei Hong Kong AI Lab
Principal Researcher
博士入学前
Yi Lin · Tencent Jarvis Lab
Full-time Researcher

学术影响与网络关注

计算标准

院系样本分位

累计引用93P93

h-index88P88

2024–2026 论文97P97

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 461 篇 · i10-index 184 · 截至 2026-10-17

Long CHEN

陳隆

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: LONG Group
博士毕业于: Zhejiang University · 2020
研究主线: 多模态理解与关系；可控生成与编辑；统一模型与 flow matching

累计引用: 5,991次
h-index: 32
2024–2026 论文: 114篇
在组成员: 25人

研究方向

多模态理解与关系
Scene graph、visual grounding、视觉推理、幻觉控制。
可控生成与编辑
图像、视频、概念定制、动作和世界模型。
统一模型与 flow matching
以 flow matching 研究跨模态对齐、分类、检索及理解生成统一。

前序 counterfactual VQA、scene graph 与 grounding 以视觉理解为中心；2024 提升 grounding 效率，2025 拓展图文交错生成与可控编辑，2026 将 flow matching 引入跨模态对齐和感知。公开证据支持围绕理解、关系与控制的连续扩展，world model 为当前声明的新分支。

多模态任务机制与可控生成并行

EEVG 的计算简化、CLIPDrag 的控制信号分工、FMA 的多步对齐都围绕具体机制提出可检验改动。

代表论文与近期发表

2024An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual GroundingECCV 2024

研究问题: 长语言表达与高分辨率图像使 encoder 融合成本按 token 数二次增长。
核心方法: 文本为 memory、视觉为 queries 的 decoder 融合使语言长度成本线性增长；按 attention 删除背景 token 并用轻量 mask head。 Introduction 报告比 PolyFormer 快 28.19%，RefCOCOg RES 改善 3.93%；mask head 为 0.79M 两层 MLP，对照 FPN 为 8.1M。
实验结果: 作者报告 benchmark 与消融支持效率和效果改善。
实验条件与边界: 线性语言长度成本仅指跨模态融合；视觉 backbone 的开销与 token 剪枝对微小目标的影响须另核。
课题组研究线: 延续视觉 grounding 和复杂场景理解。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Conclusion（完整）

2025CLIPDrag: Combining Text-based and Drag-based Instructions for Image EditingICLR 2025

研究问题: 文本编辑的空间描述不精确，拖拽信号又可能存在语义歧义。
核心方法: 用文本提供全局语义、拖拽点提供局部位置；CLIP 全局局部监督配合快速点跟踪。
实验结果: 作者实验报告优于单独文本或拖拽方法。
实验条件与边界: 结果限定于所评 diffusion 编辑条件。
课题组研究线: 将多模态对齐思想用于直接控制。
核阅章节: Abstract（完整）、Introduction（已返回的任务定义与方法分类）

2025CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and GenerationCVPR 2025

研究问题: 交错图文生成缺少叙事连贯、实体与风格一致的数据。
核心方法: 汇合教学与视觉叙事来源，多视角过滤句子推进、图像一致和语义对齐；提出 4 项生成评估任务。
实验结果: 作者报告过滤数据质量与下游 few-shot in-context learning 改善。
实验条件与边界: 摘要不提供长期叙事或开放世界泛化保证；数据筛选依赖预训练模型。
课题组研究线: 从单个视觉目标扩展为连贯的多模态序列。
核阅章节: Abstract（完整摘要）

2026Exploring Cross-Modal Flows for Few-Shot LearningICLR 2026

研究问题: 单步 PEFT 调整难以处理复杂纠缠的视觉文本特征。
核心方法: FMA 学习跨模态速度场，固定 coupling、noise augmentation 与 early-stopping solver 支持少样本多步对齐。
实验结果: 作者报告多 backbone 和基准上的持续提升，复杂数据集更突出。
实验条件与边界: 多步计算带来额外推理过程。
课题组研究线: 把 flow matching 从生成方法转化为表征对齐机制。
核阅章节: Abstract（完整摘要）

2024–2026 论文目录（共 114 篇）

2026 年33 篇

2025 年50 篇

2024 年31 篇

实验室与成员

LONG Group

博士生: 16
硕士生: 2
博士后: 1
RA、访问与其他: 6

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

多模态理解与关系；可控生成与编辑；统一模型与 flow matching

在组成员25

成员	教育背景	研究方向与经历
Zhen WangPostdoc Google Scholar · GitHub GitHub 关注 0 Stars 0	Zhejiang University PhD, Computer Science and Technology · 导师 Jun Xiao	多模态生成与编辑
Lin LiResearch Assistant Professor · 2026– GitHub · Google Scholar GitHub 关注 12 Stars 37	Zhejiang University PhD 2024 HKUST PhD	多模态大模型、具身智能与场景理解 Research Assistant Professor, HKUST CSE；合作导师 Tim Cheng、Long Chen with Prof. Tim Cheng
Yanghao WangPhD, CSE · 2024 Google Scholar GitHub 关注 0 Stars 59	Sichuan University BS Nanyang Technological University MS	流式视频交互与世界模型
Wei ChenPhD, CSE · 2024	—
Jiazhen LiuPhD, CSE · 2024 Google Scholar · GitHub GitHub 关注 19 Stars 38	Shandong University, Weihai Bachelor, Computer Science Renmin University of China Master	图像匹配、多模态大模型、指代分割与推理
Chaolei TanPhD, CSE · 2024-09– Google Scholar · GitHub GitHub 关注 6 Stars 0	2021 Sun Yat-sen University BEng, Telecommunication Engineering 2024 Sun Yat-sen University MEng, Computer Science and Technology 2024-09– HKUST PhD
Trung Kien PhamPhD, CSE · 2024 DBLP · ORCID · OpenAlex DBLP 近三年 9 OpenAlex 近三年 2 引用 0 h-index 0	HKUST BSc, Data Science and Computer Science 2024 HKUST MPhil, CSE	扩散模型、图像组合、视频生成 GMO-Z.com RUNSYSTEM · AI Intern2020-03–2020-05 viAct · AI Trainee2021-03–2021-08 with Prof. Qifeng Chen
Ziqi JiangPhD, CSE · 2025 Google Scholar · GitHub GitHub 关注 8 Stars 0	Zhejiang University BS	计算机视觉、机器学习、生成模型的理论与应用
Zhenqi HePhD, CSE · 2025– Google Scholar · X · GitHub GitHub 关注 15 Stars 65	2018–2023 University of Hong Kong BSc, Mathematics; second major Computer Science 2023-09–2025-01 University of Hong Kong MSc, Artificial Intelligence 2025–2029 expected HKUST PhD, CSE	开放世界学习、多模态学习与组合泛化 Hong Kong Observatory · Research Intern2022-01–2023-01
Hongxu ChenPhD, CSE · 2025 GitHub GitHub 关注 6 Stars 2	USTC Bachelor, School of the Gifted Young USTC undergraduate	流匹配、扩散模型、模型合并与参数高效微调
Hongxiang LiPhD, CSE · 2025 秋季– Google Scholar · GitHub GitHub 关注 2 Stars 0	Peking University Master	统一多模态模型与多模态大语言模型
Shaodong WangPhD, CSE · 2025 GitHub · Google Scholar GitHub 关注 3 Stars 0	UESTC Bachelor Peking University Master, Electronic and Computer Engineering	生成模型
Junzhang LiuPhD, CSE · 2025 Google Scholar · GitHub GitHub 关注 4 Stars 0	Syracuse University Bachelor Columbia University Master	自然语言处理与多模态推理
Yaoyang LiuPhD, CSE · 2025-09– Google Scholar · GitHub GitHub 关注 6 Stars 1	2021-09–2025-06 University of Science and Technology of China BEng, Artificial Intelligence 2025-09– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Long Chen	高效、可控视频生成与交互式世界模型
Ruiliang GongPhD, CSE · 2026– GitHub · LinkedIn · Google Scholar GitHub 关注 2 Stars 0	2022–2026 HKUST BEng, Computer Science; minor Mathematics 2025-02–2025-05 ETH Zurich Exchange, Computer Science 2026– HKUST PhD, CSE
Chun WangPhD, CSE · 2026	Zhejiang University BEng, Computer Science, Turing Class	多模态学习
Mingzhi ChenPhD, CSE · 2026 Google Scholar · GitHub GitHub 关注 19 Stars 5	—	computer vision、multimodal learning；visual understanding、reasoning、generation
Jianyu LaiPhD, CSE · 2026 GitHub · Google Scholar GitHub 关注 12 Stars 36	2020–2024 South China University of Technology BEng, Automation 2024–2026 HKUST (Guangzhou) MPhil, Data Science and Analytics	多模态奖励模型、海报生成与编辑、摄影构图智能体 Meituan, Intelligent Vision Department · Research Intern2025-06–2026-02
Haoqi ZhangMPhil, CSE · 2025 秋季– GitHub GitHub 关注 1 Stars 1	2025 CUHK, Shenzhen Bachelor, Computer Science and Engineering	多模态大语言模型
Thinh Dao (Will)MPhil, CSE · 2026	—
Cunchun LiVisiting Students	—
Zekai JiaVisiting Students	Huazhong University of Science and Technology Undergraduate（在读）
Yixu WangVisiting Students	University of Science and Technology of China Undergraduate（在读）
Jianming ZhangVisiting Students	Tsinghua University Undergraduate（在读）
Tianqi ZhengVisiting Students	University of Science and Technology of China Undergraduate（在读）

校友与去向11

成员	教育背景	研究方向与经历
Huimin Yan校友 · Visiting PhD · 2026	Shanxi University PhD
Yan Zhai校友 · Visiting PhD · 2026	Communication University of China PhD
Jinpeng Wang校友 · Visiting PhD · 2025	Tsinghua University PhD	Faculty at HIT Shenzhen
Zhexin Zhang校友 · Visiting PhD · 2025	Hangzhou Dianzi University PhD
Kaifeng Gao校友 · Visiting PhD · 2024-09–2025-02 GitHub GitHub 关注 37 Stars 231	2016–2020 Zhejiang University BE, Ocean Engineering Zhejiang University PhD 2020–2025 Zhejiang University PhD	计算机视觉、多模态分析、视频生成与编辑 Research Engineer, Manycore Tech Inc.，Zihan Zhou 团队
Bofeng Wu校友 · Visiting PhD · 2024	Hangzhou Dianzi University PhD
Chenyang Zhu校友 · Visiting Master · 2025-09– GitHub · Google Scholar GitHub 关注 22 Stars 226	2024 Harbin Institute of Technology, Shenzhen BEng, Computer Science and Technology Tsinghua University Master	概念定制与视觉内容生成
Dingkun Zhang校友 · Visiting Master · 2026 Google Scholar · GitHub GitHub 关注 0 Stars 3	Harbin Institute of Technology, Shenzhen Bachelor HIT Shenzhen Master Harbin Institute of Technology, Shenzhen Master, Computer Science	视觉 token 压缩、持续学习、模型压缩与高效多模态大模型 OPPO AI Center · Research Intern2023-09 起
Wei Dai校友 · Visiting undergraduate · 2025	USTC undergraduate
Junshan Huang校友 · Visiting undergraduate · 2024	USTC undergraduate	PhD student, Rutgers University
Boyu Mi校友 · Visiting undergraduate · 2024	Zhejiang University undergraduate	PhD student, Shanghai AI Lab

教育与履历

教育背景

2020
Zhejiang University
PhD, Computer Science
导师 Jun Xiao

任职经历

2023–
HKUST
Assistant Professor
Columbia University
Postdoctoral Research Scientist, DVMM Lab
NTU
Visiting PhD Student
NUS
Visiting PhD Student

学术服务

2023 年加入 HKUST 的青年视觉教师，近年来扩展为多模态理解与生成研究组。

业界合作与实习

合作机构: 4家
合作记录: 4条
成员产业经历: 9条

Shenzhen RabbitPre Intelligence Technology Co., Ltd.；Fortune Ever Global Limited；Hangzhou Rutone Technology Co., Ltd.；Huawei Technologies Co., Ltd.

Shenzhen RabbitPre Intelligence Technology Co., Ltd. 资助研究项目
图像与视频生成；负责人；2025–
Fortune Ever Global Limited 资助研究项目
增强图像生成以支持多模态推理与理解；负责人；2025–
Hangzhou Rutone Technology Co., Ltd. 资助研究项目
高效、鲁棒多模态理解与生成；负责人；2025–
Huawei Technologies Co., Ltd. 资助研究项目
基于扩散模型的视觉理解与生成；负责人；2024–

成员实习与产业经历

2020-03–2020-05
Trung Kien Pham · GMO-Z.com RUNSYSTEM
AI Intern；本科阶段；早于 2024 年博士入学；AI Intern
2021-03–2021-08
Trung Kien Pham · viAct
AI Trainee；本科阶段；早于 2024 年博士入学；AI Trainee
2021-10–2022-03
Chong Cheng · CARIAD (Volkswagen Group)
Research Intern；个人主页列出跨硕士、博士阶段的经历；LONG Group 将其列为 HKUST (Guangzhou) 访问博士
2022-01–2023-01
Zhenqi He · Hong Kong Observatory
Research Intern；香港大学本科阶段，早于 HKUST 博士入学；Research Intern
2023-09–2024-06
Chong Cheng · Tsinghua PBCSF
Research Intern (LLM & Agent)；个人主页列出跨硕士、博士阶段的经历；LONG Group 将其列为 HKUST (Guangzhou) 访问博士
2023-09 起
Dingkun Zhang · OPPO AI Center
Research Intern；硕士学生个人主页所列，早于 2025-10 开始的 HKUST 访问经历；Research Intern
2025-06–2026-02
Jianyu Lai · Meituan, Intelligent Vision Department
Research Intern；HKUST (Guangzhou) MPhil 阶段，早于清水湾博士阶段；Research Intern
2025-08–2026-05
Chong Cheng · Horizon Robotics
Research Intern；个人主页列出跨硕士、博士阶段的经历；LONG Group 将其列为 HKUST (Guangzhou) 访问博士
2026-05–
Chong Cheng · Tencent
Qingyun Research Intern；个人主页列出跨硕士、博士阶段的经历；LONG Group 将其列为 HKUST (Guangzhou) 访问博士

学术影响与网络关注

计算标准

院系样本分位

累计引用56P56

h-index51P51

2024–2026 论文89P89

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 234 篇 · i10-index 59 · 截至 2026-10-17

GitHub · zjuchenlong个人账号

关注者: 176人
Stars: 333
公开仓库: 9

GitHub · HKUST-LongGroup实验室组织账号

关注者: 52人
Stars: 721
公开仓库: 32

Yi R. FUNG

馮一人

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: MMSense Lab
博士毕业于: University of Illinois Urbana-Champaign · 2024
研究主线: 可信推理与对齐；多模态 agent 与 RAG；社会文化与领域应用

累计引用: 767次
h-index: 13
2024–2026 论文: 84篇
在组成员: 19人

研究方向

可信推理与对齐
知识边界、可扩展对齐、推理计算分配与 RL。
多模态 agent 与 RAG
视觉工具调用、检索增强、持续经验与 skills。
社会文化与领域应用
多语跨文化 situation understanding，临床教育等应用。

2021 公开获奖工作是文献知识图谱与报告生成，2024 的 R-Tuning 研究知识边界，2025 合成数据研究训练规模，2026 XSkill 和临床教学系统探索 agent 的知识积累与对齐。当前材料支持从知识处理、可信表达走向多模态 agent 的连续扩展。组名在官网入口间存在差异，最终以本人回复确认。

可信性问题与可复用 agent 机制并行

R-Tuning 将不确定性纳入训练，SynthLLM 研究合成数据规模，XSkill 明确分离动作经验和任务级技能。

代表论文与近期发表

2024R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’NAACL 2024，Outstanding Paper（教师页）

研究问题: 普通指令微调要求模型回答超出参数知识的问题，诱发事实编造。
核心方法: 测量预训练知识与指令数据知识的交集，用 refusal-aware 数据训练知识边界表达。
实验结果: 作者报告已知问题作答和未知问题拒答改善，域外拒答能力与不确定性校准出现迁移。
实验条件与边界: 拒答与有用性之间的适用条件需阅读实验进一步确认。
课题组研究线: 在后续可信 agent 之前，建立知识边界处理主线。
核阅章节: Abstract（完整摘要）

2025Scaling Laws of Synthetic Data for Language ModelsCOLM 2025（教师出版页）

研究问题: 预训练网页数据有限，合成数据的可预测扩展性尚需验证。
核心方法: SynthLLM 从多篇文档抽取并以图算法重组高层概念，生成多样问题和答案。
实验结果: 数学域实验符合 rectified scaling law；约 300B tokens 后收益减弱，摘要报告 8B 模型约 1T 与 3B 约 4T tokens 达到各自峰值。
实验条件与边界: 结果来自特定数学域、模型与数据流程；预测律向其他领域迁移需新增实验。
课题组研究线: 从知识质量扩展到训练数据的数量与多样性。
核阅章节: Abstract（完整）、Introduction（已返回的前三段及流程描述）

2026XSkill: Continual Learning from Experience and Skills in Multimodal AgentsICML 2026（教师出版页）

研究问题: 多模态 agent 工具调用低效，希望通过经历持续改善且保持参数固定。
核心方法: 分别积累动作级 experiences 和任务级 skills，视觉 grounding 的总结与跨轨迹批评支持提取、检索和更新。 Introduction 报告跨模型 Average@4 相对 tool-only 提升 2.58—6.71 点，挑战设置相对最强基线最高 11.13 点。
实验结果: 作者在 5 个基准、4 种 backbone 上报告持续优于 tool-only 与 learning-based 基线，并观察到两类知识的互补性。
实验条件与边界: 论文明确只实验了一次 accumulation-then-test cycle；反复持续学习属于架构可支持能力，长期积累效果尚待实验。
课题组研究线: 将可信多模态推理推进到可复用经验和 skills 的生命周期。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Conclusion（完整）

2026MedTutor-R1: Socratic Personalized Medical Teaching with Multi-Agent SimulationICML 2026 spotlight（教师页，新题名有所变化）；所读为 2025 arXiv v1

研究问题: 临床教学需要一对多协作推理，现有系统偏重一对一知识问答。
核心方法: ClinEdu 模拟患者和学生群体，生成 ClinTeach 对话；经指令微调和结构、分析、临床安全三轴奖励训练 tutor。
实验结果: v1 作者报告平均 pedagogical score 相对基座提升超过 20%，与 o3 相近，并适应学生数量变化。
实验条件与边界: 评估在模拟教学环境中完成。
课题组研究线: 体现一对多 agent 对齐与领域应用。
核阅章节: Abstract（完整摘要）

2024–2026 论文目录（共 84 篇）

2026 年32 篇

2025 年40 篇

2024 年12 篇

实验室与成员

MMSense Lab

博士生: 17
硕士生: 2

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

可信推理与对齐；多模态 agent 与 RAG；社会文化与领域应用

在组成员19

成员	教育背景	研究方向与经历
Zhitao HePhD, CSE	—	RebuttalAgent 共同指导
Shijue HuangPhD, CSE · 2025-09– Google Scholar · GitHub GitHub 关注 74 Stars 190	2018–2022 Harbin Institute of Technology Bachelor 2022–2025 Harbin Institute of Technology, Shenzhen Master 2025–2028 expected HKUST PhD	智能体强化学习、世界模型与递归自我改进
Zhaochen SuPhD, CSE Google Scholar · GitHub GitHub 关注 124 Stars 2,081	—	long-horizon general tool-use agents；multimodal-agent continual learning；AI for quant Shanghai AI Laboratory · Research Intern2023-11–2025-04 Moonshot AI (Kimi) · Agent Research Intern2025-08– MiniMax · Post-training Team Intern2025-06–2025-08 Kimi (Moonshot AI) · Agent Research Intern2025-08– Co-advised with Junxian He
Xinyu GengPhD, CSE	—	WebWatcher 共同指导
Qi HePhD, CSE · 2026-09– Google Scholar · GitHub · X GitHub 关注 5 Stars 12	Fudan University Bachelor, Data Science	推理强化学习、扩散语言模型、高效架构与端侧 AI
Yuchen HuangPhD, CSE GitHub · Google Scholar GitHub 关注 13 Stars 85	2023 Zhejiang University BS, Electronic Science and Technology	以人为本、可信的语言模型、视觉语言模型与智能体 Alibaba Tongyi Lab · Research Intern2025-09– HKPFS Fellow
Minghao LiuPhD, CSE · 2026– Google Scholar · LinkedIn · GitHub GitHub 关注 2 Stars 0	2022–2026 HKUST BEng, Computer Science; minor Mathematics 2024 秋季 Washington University in St. Louis Exchange 2026– HKUST PhD, CSE	可解释与可靠语言模型、智能体推理和可扩展评测环境
Zhennan ShenPhD, CSE · 2026-09– 简历 · X · LinkedIn · GitHub · Google Scholar GitHub 关注 27 Stars 8	2021–2025 Shanghai Jiao Tong University BE, Computer Science and Engineering 2026-09– HKUST PhD, CSE	语言模型智能体与长程代码智能体后训练 SJTU X-LANCE · Research Intern2023-07–2024-07 HKU NLP · Research Intern2024-07–2024-09 JD.com JoyAI · Research Intern2025-12–2026-04 Moonshot AI Kimi · Agent Training Intern2025-03–2025-12 MiniMax · Research Intern2026-06–
Guanyu JiangPhD, CSE · 2026-09– GitHub GitHub 关注 18 Stars 13	2022–2026 Zhejiang University BEng, Computer Science and Technology 2026-09– HKUST PhD, CSE	基础模型智能体、自主学习、可靠性与复杂真实场景 Tencent Hunyuan, Foundation Model Department · Qingyun Research Intern2026-10– 共同指导
Yiyang Fang (Vision)PhD, CSE 简历 · GitHub · Google Scholar GitHub 关注 20 Stars 197	2020–2024 Shandong University Bachelor, Computer Science and Technology 2024–2026 Wuhan University Master, Computer Science	多模态情绪识别与多模态大语言模型
Vu Duy Tung (audio-visual LLMs, MPhil Track)MPhil, CSE · 2026-07–	2026 VinUniversity Bachelor, Computer Science	LLM、多模态学习、自然语言处理与语音
HUANG, YimingPhD, CSE	—	共同指导
SON, JuhyungPhD, IIP	—
TANG, LongxiangPhD, CSE	—
CHOI, Ka ManPhD, IIP	—	共同指导
GUO, DadiPhD, CSE	—
HU, ChenchangPhD, CSE	—	共同指导
MIN, RuiPhD, CSE	—
FAN, ZhiyuanMPhil, CSE	—

校友与去向15

成员	教育背景	研究方向与经历
Shujin Wu校友 · Research mentee	USC	UIUC PhD
Jianshu Zhang校友 · Research mentee	WuhanU	Northwestern PhD
Jaewoo Lee校友 · Research mentee	KAIST	UNC Chapel Hill PhD
Cheng Qian校友 · Research mentee	Tsinghua	UIUC PhD
Yumeng Wang校友 · Research mentee	HKUST	UIUC PhD
Steeve Kung-Hsiang Huang校友 · Research mentee	UIUC PhD	Salesforce AI
Ke Yang校友 · Research mentee	Tsinghua	UIUC PhD
Xueqing Wu校友 · Research mentee	UIUC	UCLA PhD
Hanning Zhang校友 · Research mentee	HKUST	UIUC
Lifan Yuan校友 · Research mentee	Huazhong HUST	UIUC PhD
Hehai Lin校友 · Research mentee	SYSU	HKUST-GZ PhD
Kath Choi校友 · Research mentee	CMU	UWaterloo PhD
Xinyan Liu校友 · Research mentee	PolyU	UMD PhD
Yuxin Li校友 · Research mentee	HKUST
Jiayu Liu校友 · Research mentee	HKUST

教育与履历

教育背景

2024
University of Illinois Urbana-Champaign
PhD

任职经历

HKUST
Assistant Professor
MIT
Visiting Postdoctoral Researcher

学术服务

可信 NLP 与多模态 agent 的青年教师。论文奖和近期项目提供可核验的学术识别。

2024 年获得 University of Illinois Urbana-Champaign 的 PhD in Computer Science。

指导方式与组内生活

组内包含博士、硕士及本科研究者，并公开记录访问与共同指导。

本科与早期科研

Alumni 页面说明许多成员在组内完成最早的一批研究论文，并获得 UROP 或毕业设计奖项后继续博士学习。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 11条

BYD Auto Industry Company Limited

BYD Auto Industry Company Limited 资助研究项目
自监督学习与声学场景建模下的多说话人分离与降噪；负责人；2025–

成员实习与产业经历

2023-11–2025-04
Zhaochen Su · Shanghai AI Laboratory
Research Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Research Intern
2023-07–2024-07
Zhennan Shen · SJTU X-LANCE
Research Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Research Intern
2024-07–2024-09
Zhennan Shen · HKU NLP
Research Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Research Intern
2025-08–
Zhaochen Su · Moonshot AI (Kimi)
Agent Research Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Agent Research Intern
2025-06–2025-08
Zhaochen Su · MiniMax
Post-training Team Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Post-training Team Intern
2025-09–
Yuchen Huang · Alibaba Tongyi Lab
Research Intern；HKUST 博士阶段；Research Intern
2025-12–2026-04
Zhennan Shen · JD.com JoyAI
Research Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Research Intern
2025-03–2025-12
Zhennan Shen · Moonshot AI Kimi
Agent Training Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Agent Training Intern
2025-08–
Zhaochen Su · Kimi (Moonshot AI)
Agent Research Intern
2026-06–
Zhennan Shen · MiniMax
Research Intern；2026-09 入读 HKUST；MiniMax 经历跨越入学时间，其余经历在入学前；Research Intern
2026-10–
Guanyu Jiang · Tencent Hunyuan, Foundation Model Department
Qingyun Research Intern；HKUST 博士阶段；Qingyun Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用22P22

h-index22P22

2024–2026 论文81P81

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 81 篇 · i10-index 19 · 截至 2026-10-17

GitHub · mayrfung个人账号

关注者: 8人
Stars: 0
公开仓库: 29

Junxian HE

何俊賢

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: Junxian He 研究组 / HKUST NLP
博士毕业于: Carnegie Mellon University · 2022
研究主线: 语言模型训练与数据；长程推理与智能体

累计引用: 2,568次
h-index: 23
2024–2026 论文: 57篇
在组成员: 15人

研究方向

语言模型训练与数据
自训练、后训练、参数高效学习和合成数据。
长程推理与智能体
当前主页聚焦 long-horizon reasoning and planning；论文延伸到网页任务、工具使用、上下文增长和代码算子。

2018—2022 的公开作品包括概率潜变量模型、序列生成自训练、可控摘要和参数高效迁移；2023—2024 增加语言模型评估与数学合成数据，2025—2026 进一步进入可执行反馈、长程工具任务与 RL。连续问题是如何以有效训练信号改善生成模型，并把能力放到可验证任务中检验。

训练信号与可执行评测驱动

DART-Math 研究采样分配，CodeI/O 利用程序 I/O 产生推理数据，Dr. Kernel 把奖励实现与真实算子加速同时纳入训练。

代表论文与近期发表

2024DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-SolvingNeurIPS 2024

研究问题: 常规拒绝采样数据偏向易题，难题获得的正确解较少。
核心方法: 按题目难度增加生成尝试；使用 7B 开放模型生成训练数据，再微调 7B—70B 基座。作者以错误率估计难度，并提出 Uniform 和 Prop2Diff 两种采样策略；每套约 590K 样本，生成器为 DeepSeekMath-7B-RL。
实验结果: 作者在 6 个域内与域外数学基准报告优于普通拒绝采样，使用的数据规模更小。
实验条件与边界: 作者明确指出 fail rate 难度度量可能次优，当前方法限自然语言数学推理；code execution 的结合是后续方向。
课题组研究线: 体现对训练数据分布的机制性研究。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Discussion（完整，含总结与 Limitations；文章无独立 Conclusion）

2025CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionICML 2025，Oral

研究问题: 数学与代码之外的推理任务训练数据分散。
核心方法: 把代码和测试转成输入或输出预测，以自然语言 CoT 学习流程规划、搜索和分解；通过执行检验并多轮修订得到 CodeI/O++。
实验结果: 作者报告符号、科学、逻辑、数学和常识推理的持续改善。
课题组研究线: 把长期自训练问题推进到可执行程序生成训练信号。
核阅章节: Abstract（完整摘要）

2026Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel GenerationsICML 2026（教师出版页）

研究问题: 算子 RL 训练存在 reward hacking 和只求正确、忽略加速的问题。
核心方法: KernelGYM 提供 GPU 执行环境；TRLOO 修正多轮 GRPO 自包含偏差，配合 profiling rewards 与 rejection sampling。
实验结果: 作者报告 Dr Kernel-14B 在 KernelBench Level-2 的最终生成中有 31.6% 达到至少 1.2 倍 Torch 加速；全轮最优候选为 47.8%。
实验条件与边界: 评估使用 KernelBench，并区分最终生成结果与全轮最优候选。
课题组研究线: 把推理 RL 连接到系统代码生成和实测反馈。
核阅章节: Abstract（完整摘要）

2024–2026 论文目录（共 57 篇）

2026 年15 篇

2025 年25 篇

2024 年17 篇

实验室与成员

Junxian He 研究组 / HKUST NLP

博士生: 11
硕士生: 2
RA、访问与其他: 2

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

语言模型训练与数据；长程推理与智能体

在组成员15

成员	教育背景	研究方向与经历
Yuxuan CaoPhD, CSE · 2025-09– GitHub GitHub 关注 5 Stars 16	2018–2022 Zhejiang University Bachelor, Computer Science and Technology 2022–2025 Zhejiang University Master, Computer Science and Technology 2025-09– HKUST PhD, CSE	LLM 后训练、推理与图数据挖掘
Yanheng HePhD, CSE · 2026–	2026 Shanghai Jiao Tong University BE, Computer Science, ACM Honors Class	智能体与世界模型
Yuzhen HuangPhD, CSE · 2024-02– X · GitHub · Google Scholar · LinkedIn GitHub 关注 81 Stars 0	2019–2023 Shanghai Jiao Tong University Bachelor, Computer Science 2024-02– HKUST PhD, CSE	语言模型强化学习、自我改进、推理与规划、多模态理解和评测 Tencent WeChat · Research Intern2023-11–2024-01 TikTok AI Innovation Center, Singapore · Intern Research Scientist2025-01–2025-12 DeepSeek AI · Research Intern2026-01–
Junlong LiPhD, CSE · 2025-09– X · GitHub · Google Scholar GitHub 关注 107 Stars 37	2018–2022 Shanghai Jiao Tong University BS, Computer Science, IEEE Honors Class 2022–2025 Shanghai Jiao Tong University MS, Computer Science and Engineering 2025–2028 expected HKUST PhD, CSE	语言模型推理、智能体评测、Document AI NVIDIA Research, DLER · Research Intern Microsoft Research Asia, NLC · Research Intern DeepSeek, LLM Alignment Team · Research Intern入读 HKUST 前
Junteng LiuPhD, CSE GitHub GitHub 关注 12 Stars 0	2024 Shanghai Jiao Tong University BEng, Automation, IEEE Honors Class	递归自我改进、代码智能体、可验证反馈与强化学习 Apple MLR, Cupertino · Research Scientist Intern2026-04 起 MiniMax · Research Intern
Wei LiuPhD, CSE · 2024-09– GitHub · DBLP · ORCID DBLP 近三年 18 GitHub 关注 101 Stars 20	2017–2021 South China Agricultural University BE, Computer Science 2021–2024 ShanghaiTech University MS, Computer Science 2024-09– HKUST PhD, Computer Science	可扩展强化学习、合成数据、代码智能体和测试时学习 Alibaba DAMO Academy · Research Intern2022-07–2023-10 Shanghai AI Laboratory · Research Intern2023-11–2024-08 TikTok AI Innovation Center, Singapore · Research Scientist Intern2025-06–2026-02 DeepSeek · Coding-agent research2026-06– Moonshot AI · Research2026-03–2026-05
Kashun ShumPhD, CSE · 2024-09– GitHub · Google Scholar · LinkedIn · X 主页近三年论文 10	2018–2022 The Hong Kong University of Science and Technology BSc 2022-09–2024-08 The Hong Kong University of Science and Technology MPhil in Computer Science and Engineering 2024-09– The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Junxian He；HKPFS 与 RedBird PhD Scholarship。	代码智能体与多轮强化学习；数据驱动的预训练、可信语言模型、知识蒸馏和提示学习。硕士阶段研究提示学习与可信 LLM，博士阶段继续研究预训练数据和高效后训练。 Baidu China Co., Ltd. · Search and Strategy Department · Natural Language Processing Intern2021-06–2021-09本科期间在北京实习；开发电商搜索排序与 query–document 匹配，使用 ERNIE 改进商品属性检索。 Qwen Team · Research Intern2025-04–博士期间在北京实习，由 Binyuan Hui 指导；研究代码智能体的多轮强化学习，参与 Qwen3-Coder 系列。主页论文10 2024 FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation 2024 LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models 2024 Plum: Prompt Learning using Metaheuristic 2024 RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models 2025 An Improved Autoregressive Evaluation Paradigm for Large Language Models 2025 Predictive data selection: The data that predicts is the data that teaches 2025 Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering 2026 MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era 2026 Qwen3-Coder-Next Technical Report 2026 SWE-RM: Execution-free Feedback for Software Engineering Agents
Zhaochen SuPhD, CSE Google Scholar · GitHub · LinkedIn · X 主页近三年论文 9 GitHub 关注 124 Stars 2,081	The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 由 Junxian He 与 Yi R. (May) Fung 共同指导。	长时程通用工具使用智能体、多模态推理与 AI for quant。 Shanghai AI Laboratory · Research Intern2023-11–2025-04个人主页列出的研究实习。 Moonshot AI (Kimi) · Agent Research Intern2025-08– MiniMax · Post-training Team Intern2025-06–2025-08参与 MiniMax-M2。 Kimi (Moonshot AI) · Agent Research Intern2025-08–研究长时程通用工具使用智能体；个人主页列出参与 Kimi K2 Thinking、K2.5、K2.6、K2.7 和 K3。 Co-advised with Yi R. Fung；共同指导主页论文9 2024 ConflictBank: A Benchmark for Evaluating Knowledge Conflicts in Large Language Models 2025 OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning 2025 Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers 2026 AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios 2026 Kimi K2.5: Visual Agentic Intelligence 2026 Kimi K3: Open Frontier Intelligence 2026 The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence 2026 The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution 2026 XSkill: Continual Learning from Experience and Skills in Multimodal Agents
Haoze WuMPhil, CSE X · LinkedIn · GitHub · Google Scholar GitHub 关注 13 Stars 7	2025 Zhejiang University BEng, Computer Science, CKC Honors College	智能体强化学习的环境、密集监督、训练计算分配与泛化 MiniMax AI · Agentic RL research Shanghai AI Laboratory · Research experience
Weihao ZengPhD, CSE · 2025 Fall– Google Scholar · X 主页近三年论文 6 GitHub 关注 99 Stars 118	2025 Fall– The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Junxian He。	LLM 后训练；长时程、真实场景智能体；通过强化学习与自我演化提升推理；高效后训练的数据工程。本人 README 分别列出 Toolathlon、SimpleRL、B-STaR、Deita 与 AutoEvol-Instruct。主页论文6 2024 Automatic Instruction Evolving for Large Language Models 2024 What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning 2025 B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners 2025 SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild 2026 Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification 2026 The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution
Jinghan ZhangPhD, CSE · 2024– jinghan23.github.io · X · GitHub · Google Scholar · DBLP · CV · Google Scholar · X 主页近三年论文 5 DBLP 近三年 9 GitHub 关注 14 Stars 49	2019–2023 Southeast University Bachelor of Engineering in Artificial Intelligence 2024– The Hong Kong University of Science and Technology PhD in Computer Science and Engineering 导师 Junxian He。	后训练与泛化、智能体推理、视觉语言模型推理、模型合并。主页另列长上下文建模与多轮推理。2023-11 至 2024-01 在 HKUST CSE 担任 Research Assistant，随后进入博士阶段。主页论文5 2024 Compression Represents Intelligence Linearly 2025 Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging 2025 Internalizing World Models via Self-Play Finetuning for Agentic RL 2025 Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas 2026 The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms
Wenshuo ZhaoPhD, CSE · 2026– GitHub GitHub 关注 11 Stars 3	2022–2026 Zhejiang University BS, Computer Science and Technology 2026– HKUST PhD	LLM 推理、多智能体与数据可视化
Liangjun ZhongMPhil, CSE	The Hong Kong University of Science and Technology MPhil in Computer Science and Engineering
Shiqi ChenVisitor (PhD) GitHub GitHub 关注 55 Stars 314	City University of Hong Kong PhD	LLM 与 VLM 的事实性、解释性及模型合并
Hao LiVisitor (Master) GitHub · Google Scholar 主页近三年论文 8	2020-09–2024-06 Beihang University Bachelor 2024-09– Beihang University Master School of AI；导师 Lei Sha。本人另列曾接受 Jing Shao、Jin-Ge Yao 与 Junxian He 指导。	AI 安全对齐与长时程推理；研究项目涵盖程序化工具编排、空间智能体评估、LLM 安全对齐与多模态安全。 Shanghai AI Lab · Research Intern2024-07–2025-07LLM 与 VLM 安全；本科毕业后开始，时间覆盖北航硕士阶段。 Beijing Academy of Artificial Intelligence (BAAI) · Research Intern2025-08–2026-01北航硕士期间实习；VLM 后训练与评估。 TikTok AI Innovation Center · Research Intern2026-03–2026-06北航硕士期间实习；Agentic RL。主页论文8 2024 ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings 2025 DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak 2025 Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment 2025 LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts 2025 VLSBench: Unveiling Visual Leakage in Multimodal Safety 2026 Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay 2026 Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT 2026 SafeSteer: Localized On-Policy Distillation for Efficient Safety Alignment

校友与去向10

成员	教育背景	研究方向与经历
Chang Ma校友 · Visitor · 2023–2026 Google Scholar	Peking University BS, Computer Science HKU PhD University of Hong Kong PhD	自主、高效、可信智能体与科学发现 Postdoc, University of Washington；合作导师 Pang Wei Koh、Hanna Hajishirzi
Yiyun Deng校友 · Visitor · 2024–2026	Tsinghua University Undergraduate
Ruochen Zhou校友 · Visitor · 2024–2025	City University of Hong Kong PhD
Junlei Zhang校友 · Visitor · 2023–2025	Westlake University PhD
Lueyang Zhang校友 · Visitor · 2025	HKUST Undergraduate
Cheng Wang校友 · Visitor · 2025 Google Scholar · LinkedIn · GitHub GitHub 关注 48 Stars 144	NUS Undergraduate National University of Singapore	智能体 ByteDance · Algorithm Engineer Intern2025-01 起 ByteDance
Yuxuan Tong校友 · Visitor · 2023-07–2024-06 GitHub · Google Scholar GitHub 关注 345 Stars 267	2021–2025 expected Tsinghua University Bachelor, Computer Science and Technology Tsinghua University Undergraduate	长上下文复杂推理、强化学习系统和硬件感知算法 Carnegie Mellon University LTI · Research Intern2024-07–2025-02 ByteDance Seed-Infrastructures · Research Intern2025-02– ByteDance Seed
Cheng Yang校友 · Visitor · 2023	Tsinghua University Master	PhD at UC San Diego
HU, Tianshuai校友 · PhD, IIP (Robotics and Autonomous Systems) · 2026	2026 HKUST PhD, IIP (Robotics and Autonomous Systems)
WILIE, Bryan校友 · PhD, ECE · 2026	2026 HKUST PhD, ECE	共同指导

教育与履历

教育背景

2017
Shanghai Jiao Tong University
Bachelor, Electronic Engineering
2022
Carnegie Mellon University
PhD, Language Technologies Institute
导师 Graham Neubig；Taylor Berg-Kirkpatrick

任职经历

2019
Facebook AI Research
Research visit / internship
2020
Salesforce Research
Research visit / internship
HKUST
Assistant Professor

学术服务

青年 NLP 教师，研究影响可从参数高效迁移、自训练以及近年推理与 agent 工具链的持续工作核验。

业界合作与实习

合作机构: 2家
合作记录: 2条
成员产业经历: 27条

Facebook AI Research（research experience）；Salesforce Research（research experience）

Facebook AI Research 研究经历
2019
Salesforce Research 研究经历
2020

成员实习与产业经历

2021-06–2021-09
Kashun Shum · Baidu China Co., Ltd. · Search and Strategy Department
Natural Language Processing Intern · 本科期间在北京实习；开发电商搜索排序与 query–document 匹配，使用 ERNIE 改进商品属性检索。
2022-07–2023-10
Wei Liu · Alibaba DAMO Academy
Research Intern；2024-09 入读 HKUST；TikTok 在博士阶段，上海 AI 实验室与 Alibaba 在硕士阶段；Research Intern
2023-11–2025-04
Zhaochen Su · Shanghai AI Laboratory
Research Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Research Intern · 个人主页列出的研究实习。
2023-11–2024-01
Yuzhen Huang · Tencent WeChat
Research Intern；2024-02 入读 HKUST；DeepSeek 与 TikTok 在博士阶段，WeChat 在入学前；Research Intern
2023-11–2024-08
Wei Liu · Shanghai AI Laboratory
Research Intern；2024-09 入读 HKUST；TikTok 在博士阶段，上海 AI 实验室与 Alibaba 在硕士阶段；Research Intern
2024-07–2025-02
Yuxuan Tong · Carnegie Mellon University LTI
Research Intern；清华本科阶段；HKUST 访问研究时段为 2023-07–2024-06；Research Intern
2024-07–2025-07
Hao Li · Shanghai AI Lab
Research Intern · LLM 与 VLM 安全；本科毕业后开始，时间覆盖北航硕士阶段。
2025-08–
Zhaochen Su · Moonshot AI (Kimi)
Agent Research Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Agent Research Intern
2025-06–2025-08
Zhaochen Su · MiniMax
Post-training Team Intern；主页列为 HKUST 在读博士兼 Kimi 实习；MiniMax 与上海 AI 实验室列在此前经历；Post-training Team Intern · 参与 MiniMax-M2。
2025-01–2025-12
Yuzhen Huang · TikTok AI Innovation Center, Singapore
Intern Research Scientist；2024-02 入读 HKUST；DeepSeek 与 TikTok 在博士阶段，WeChat 在入学前；Intern Research Scientist
2025-06–2026-02
Wei Liu · TikTok AI Innovation Center, Singapore
Research Scientist Intern；2024-09 入读 HKUST；TikTok 在博士阶段，上海 AI 实验室与 Alibaba 在硕士阶段；Research Scientist Intern
2025-01 起
Cheng Wang · ByteDance
Algorithm Engineer Intern；个人主页所列经历，随后列为 ByteDance 在职；Algorithm Engineer Intern
2025-02–
Yuxuan Tong · ByteDance Seed-Infrastructures
Research Intern；清华本科阶段；HKUST 访问研究时段为 2023-07–2024-06；Research Intern
2025-04–
Kashun Shum · Qwen Team
Research Intern · 博士期间在北京实习，由 Binyuan Hui 指导；研究代码智能体的多轮强化学习，参与 Qwen3-Coder 系列。
2025-08–
Zhaochen Su · Kimi (Moonshot AI)
Agent Research Intern · 研究长时程通用工具使用智能体；个人主页列出参与 Kimi K2 Thinking、K2.5、K2.6、K2.7 和 K3。
2025-08–2026-01
Hao Li · Beijing Academy of Artificial Intelligence (BAAI)
Research Intern · 北航硕士期间实习；VLM 后训练与评估。
2026-01–
Yuzhen Huang · DeepSeek AI
Research Intern；2024-02 入读 HKUST；DeepSeek 与 TikTok 在博士阶段，WeChat 在入学前；Research Intern
2026-04 起
Junteng Liu · Apple MLR, Cupertino
Research Scientist Intern；HKUST 博士阶段；MiniMax-M1、M2 核心贡献者；Research Scientist Intern
2026-06–
Wei Liu · DeepSeek
Coding-agent research
2026-03–2026-05
Wei Liu · Moonshot AI
Research
2026-03–2026-06
Hao Li · TikTok AI Innovation Center
Research Intern · 北航硕士期间实习；Agentic RL。
Junlong Li · NVIDIA Research, DLER
Research Intern；主页明确 DeepSeek 在 HKUST 入学前；当前 NVIDIA 实习与 HKUST 博士并列；Research Intern
Junlong Li · Microsoft Research Asia, NLC
Research Intern；主页明确 DeepSeek 在 HKUST 入学前；当前 NVIDIA 实习与 HKUST 博士并列；Research Intern
入读 HKUST 前
Junlong Li · DeepSeek, LLM Alignment Team
Research Intern；主页明确 DeepSeek 在 HKUST 入学前；当前 NVIDIA 实习与 HKUST 博士并列；Research Intern
Junteng Liu · MiniMax
Research Intern；HKUST 博士阶段；MiniMax-M1、M2 核心贡献者；Research Intern
Haoze Wu · MiniMax AI
Agentic RL research
Haoze Wu · Shanghai AI Laboratory
Research experience

学术影响与网络关注

计算标准

院系样本分位

累计引用35P35

h-index35P35

2024–2026 论文71P71

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 127 篇 · i10-index 36 · 截至 2026-10-17

GitHub · jxhe个人账号

关注者: 555人
Stars: 1,013
公开仓库: 29

Yaonan JIN

金耀楠

Assistant Professor

个人主页 · 学校档案 · 档案

博士毕业于: Columbia University · 2023
研究主线: Algorithmic game theory；Online algorithms；Combinatorial optimization

累计引用: 131次
h-index: 6
2024–2026 论文: 10篇
在组成员: 1人

研究方向

2019–2023 重点研究拍卖、定价与简单机制的收益保证，同时涉及 Fourier、subset sum；2024–2026 延伸机制设计分布假设与紧界，并推进 clustering、online algorithms。

问题定义与紧保证驱动的理论路线

三篇样本分别改进 benchmark 近似比、扩大分布类、给出近线性 clustering 算法。

代表论文与近期发表

2024Benchmark-Tight Approximation Ratio of Simple Mechanism for a Unit-Demand BuyerFOCS；2026 公共完整稿

研究问题: 简单 item pricing 相对 duality-relaxation benchmark 的 4 近似障碍。
核心方法: 构造 benchmark-based prophet inequality，绕开 Myerson auction 中间界。
实验结果: 得到紧的 3 近似，并对一大类 single-dimensional representative 方法给出不可能性。
实验条件与边界: 结论对应独立 item values、unit-demand single buyer 与指定 benchmark。
课题组研究线: 延续简单拍卖机制与最优收入之间的紧差距研究。
核阅章节: Abstract、Introduction（开头）

2025Beyond Regularity: Simple versus Optimal Mechanisms, RevisitedFOCS

研究问题: 大量 Bayesian mechanism-design 结论依赖 regular/MHR 分布。
核心方法: 引入 quasi-regular 与 quasi-MHR，证明结构性质及 order-statistic closure。
实验结果: 将多种收益近似、单样本与样本复杂度结论扩展到新分布族。
实验条件与边界: 部分最紧近似比仍是作者列出的 conjectures；适用的是具体分布条件。
课题组研究线: 从已知分布类内紧界推进到更广的建模条件。
核阅章节: Abstract、Introduction（开头）、§8 Conclusions and Future Directions

2026Local Search for Clustering in Almost-linear TimeSODA

研究问题: 局部搜索如何兼顾常数近似与低于二次的运行时间。
核心方法: 1-swap 的 super-effective scoring 及专门的近邻维护结构。
实验结果: Euclidean k-means 得到 O(c) 近似与近似 n^(1+1/c) 时间；可拓展到具有 sparse spanners 的空间。
实验条件与边界: 复杂度省略项含维度与尺度参数；属于随机化最坏情形保证。
课题组研究线: 把组合优化的结构分析扩展到 clustering。
核阅章节: Abstract、Introduction（开头）、§5.2 Corollary 5.9

2024–2026 论文目录（共 10 篇）

2026 年6 篇

2025 年3 篇

2024 年1 篇

2024 · FOCSBenchmark-Tight Approximation Ratio of Simple Mechanism for a Unit-Demand Buyer

实验室与成员

博士生: 1

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Algorithmic game theory；Online algorithms；Combinatorial optimization

在组成员1

成员	教育背景	研究方向与经历
Siting LuoPhDCSE	—

教育与履历

教育背景

2017
Shanghai Jiao Tong University
BEng, Computer Science and Technology
2018
HKUST
MPhil, Industrial Engineering and Logistics Management
导师 Qi Qi
2023
Columbia University
PhD, Computer Science
导师 Xi Chen；Rocco Servedio

任职经历

2023-05–2026-05
Huawei Taylor Lab
Researcher
2026-06–
HKUST CSE
Assistant Professor

学术服务

理论计算机科学青年教师，研究成果以形式化上界、下界和机制设计保证呈现。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

加入 HKUST 前在 Huawei Taylor Lab 与 Pinyan Lu 开展理论计算机科学研究。

Huawei Taylor Lab 过往任职
曾任 researcher，与 Pinyan Lu 合作。

学术影响与网络关注

计算标准

院系样本分位

累计引用6P6

h-index7P7

2024–2026 论文28P28

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 37 篇 · i10-index 5 · 截至 2026-10-17

GitHub · yj10027个人账号

关注者: 0人
Stars: 0
公开仓库: 1

Chaojian LI

李朝鑒

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: Sponge Computing Lab
博士毕业于: Georgia Tech · 2025
研究主线: Algorithm-hardware co-design；Computer architecture and systems；AI infrastructure and systems

累计引用: 1,102次
h-index: 18
2024–2026 论文: 26篇
在组成员: 4人

研究方向

从 2020–2021 模型/硬件协同与 HW-NAS-Bench，转向 RT-NeRF、Instant-3D、MixRT 和 Fusion-3D；2025–2026 持续做神经渲染硬件、材料 GNN 扩展、LLM test-time compute 与 out-of-core 3DGS。

算法表示与硬件资源共同建模

MixRT 减少几何复杂度以适配现有图形硬件；TideGS 用可见工作集改变 GPU 常驻参数假设。

代表论文与近期发表

2024MixRT: Mixed Neural Representations For Real-Time NeRF Rendering3DV

研究问题: 大场景实时 NeRF 的计算和存储成本高。
核心方法: 低质量 mesh、视角相关 displacement map 与压缩 NeRF 混合表示，配合 WebGL。
实验结果: M1 Pro 在 1280×720 超过 30 FPS；所测 indoor scenes 有 0.2 PSNR 改善并降低存储。
实验条件与边界: 比较依赖场景与画质；geometry proxy 主要服务渲染。
课题组研究线: 延续表示—运行时的协同设计。
核阅章节: Abstract、Introduction（开头）、§7 Conclusion（抽取可读部分）

2025Scaling Laws of Graph Neural Networks for Atomistic Materials ModelingDAC

研究问题: 材料建模 GNN 的模型和数据扩展规律仍不清楚。
核心方法: 以 HydraGNN 集成 DeepSpeed、ADIOS 和 DDStore，扩展到十亿级参数及 TB 数据。
实验结果: 论文研究模型量、数据量与精度关系，并将扩展实现提交 HydraGNN。
实验条件与边界: 实验在 Perlmutter、每模型 32 个四 A100 节点；本档未提炼全部 scaling 公式。
课题组研究线: 从单模型加速推进到科学 ML 的训练基础设施。
核阅章节: Abstract、Introduction（开头）、III.C–D 实现与机器配置

2026TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core OptimizationICML

研究问题: 十亿级 Gaussian 参数表超出单 GPU 容量。
核心方法: SSD–CPU–GPU 分层、block-virtualized geometry、异步流水与轨迹自适应差量 streaming。
实验结果: 24 GB 单 GPU 训练超过十亿 Gaussian，在所测大场景单 GPU 基线中获得最佳重建质量。
实验条件与边界: 依赖视点时空局部性与快速 NVMe；SSD append-only log 增大临时空间并涉及耐久度。
课题组研究线: 把 3D 表示的稀疏可见性转化为存储系统工作集管理。
核阅章节: Abstract、Introduction（开头）、§6 Limitations

2024–2026 论文目录（共 26 篇）

2026 年8 篇

2025 年9 篇

2024 年9 篇

实验室与成员

Sponge Computing Lab

博士生: 4

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Algorithm-hardware co-design；Computer architecture and systems；AI infrastructure and systems

在组成员4

成员	教育背景	研究方向与经历
Zhengze XiaoPhDCSE	2025 Beijing University of Posts and Telecommunications BEng
Tiancheng ZhaoPhD 简历 · Google Scholar · LinkedIn · GitHub GitHub 关注 1 Stars 0	2019–2023 Shandong University BEng, Data Science and Big Data Technology 2022 Spring University of Hong Kong Exchange 2024–2026 Georgia Tech MSc, Computer Science	software-hardware co-design、ML systems、HPC、3DGS、IPC simulation Xpeng · Software Development Intern2025 Summer A*STAR · Student Researcher2025 Fall Tencent · R&D Intern, WeChat HPC Group2026 Summer 硕士导师 Helen Xu；2023–2024 随 Jiasi Shen 研究代码理解
Chonghao ZhongPhDCSE GitHub 关注 3 Stars 0	2023 Southwest Jiaotong University BSc 2026 Beijing Institute of Technology MSc
Xinyu GengPhDCSE	—

教育与履历

教育背景

2019
Tsinghua University
BEng
2025
Georgia Tech
PhD, Computer Science
导师 Yingyan (Celine) Lin

任职经历

HKUST CSE
Assistant Professor

学术服务

2025 年入职的算法—架构协同设计青年教师。

官方和团队页记录 MICRO 2024 Best Paper Award、MLCommons ML and Systems Rising Star、DAC 2024 PhD Forum 第一名、ICCAD 2022 TinyML contest 第一名。

业界合作与实习

合作机构: 0家
合作记录: 0条
成员产业经历: 3条

成员实习与产业经历

2025 Summer
Tiancheng Zhao · Xpeng
Software Development Intern
2025 Fall
Tiancheng Zhao · A*STAR
Student Researcher
2026 Summer
Tiancheng Zhao · Tencent
R&D Intern, WeChat HPC Group

学术影响与网络关注

计算标准

院系样本分位

累计引用24P24

h-index28P28

2024–2026 论文48P48

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 61 篇 · i10-index 28 · 截至 2026-10-17

GitHub · sponge-lab实验室组织账号

关注者: 12人
Stars: 171
公开仓库: 2

Sehi L'YI

李世熙

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: VisAI Lab
博士毕业于: Seoul National University · 2020
研究主线: 科学可视化与工具链；Human–AI collaboration 与可解释性；生物医学与无障碍

累计引用: 1,284次
h-index: 21
2024–2026 论文: 11篇
在组成员: 3人

研究方向

科学可视化与工具链
Gosling 语法、基因组数据、交互编排和可视化创作。
Human–AI collaboration 与可解释性
自动可视化设计知识、AI 模型检查、辅助科研工作流。
生物医学与无障碍
临床、基因组、科学数据资源的可访问性。

前序 Gosling 工作提供生物医学可视化的声明式基础，2024—2025 延伸到可访问性与多界面创作，2026 把设计知识的提取和推理自动化。实验室同时声明 AI co-scientists 与 interpretability 为当前方向。

工具系统与领域用户研究结合

Blace 用 12 名基因组专家研究创作行为，AltGosling 与盲人使用者共创，2026 工作加入可量化设计推荐基准。

代表论文与近期发表

2024AltGosling: Automatic Generation of Text Descriptions for Accessible Genomics Data VisualizationBioinformatics

研究问题: 基因组交互图缺乏读屏可用描述，普通图表 alt-text 工具难以覆盖其复杂结构。
核心方法: 利用 Gosling 结构与渲染信息，规则式生成分层文本及可导航树，并与盲人共同作者 co-design。
实验结果: 作者报告在基因组可视化 alt-text 任务上优于所比较的 LLM 和图像神经网络，公开代码与演示。
实验条件与边界: 工具面向 Gosling 图表。
课题组研究线: 把可视化语法转为可访问性基础设施。
核阅章节: Abstract（完整）、Introduction（已返回的前半段）

2025Learnable and Expressive Visualization Authoring Through Blended InterfacesIEEE TVCG 31(1)；VIS 2024

研究问题: 高度可定制的可视化创作工具难以同时满足不同技能背景的可学习性。
核心方法: Blace 同步连接模板、shelf configuration、自然语言和代码四种界面，通过视觉链接支持类比学习。
实验结果: 12 位基因组领域专家都能在无引导教程下复现陌生可视化；定性反馈支持表达能力与学习性收益。
实验条件与边界: 作者明确缺少与其他创作方式的受控比较，实验仅使用单视图图表，长程与多视图表达力仍待验证。4 个面板存在显示尺度限制；无 guided tutorial 仍包含 15 分钟背景与术语介绍。
课题组研究线: 在既有 Gosling 语法上改善用户进入复杂创作的路径。
核阅章节: Abstract（完整）、1 Introduction（完整）、5.1—5.4 Study（已返回的参与者、流程和结果正文）、6 Discussion（完整）、7 Conclusion（完整）

2026Automatic Synthesis of Visualization Design Knowledge BasesACM CHI 2026

研究问题: 人工固定设计规则难以扩展到新可视化领域。
核心方法: 从图表语料抽取候选特征，前后向筛选，再生成可解释知识库。
实验结果: 相较 Draco 2，作者报告不同训练与测试设置的有效设计预测准确率提升 1—15%；基因组应用准确率最高 97%。
实验条件与边界: 准确率依赖语料与设计标签；摘要结果不等同于自动产生科学发现或实际临床收益。
课题组研究线: 将工具与设计知识积累推进为数据驱动的可解释自动化。
核阅章节: Abstract（完整摘要）

2024–2026 论文目录（共 11 篇）

2026 年4 篇

2025 年5 篇

2024 年2 篇

实验室与成员

VisAI Lab

博士生: 1
RA、访问与其他: 2

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

科学可视化与工具链；Human–AI collaboration 与可解释性；生物医学与无障碍

在组成员3

成员

教育背景

研究方向与经历

Daniel LinPhD, CSE

visailab.com

2026 South China University of Technology

BEng, Software Engineering · 导师 Zikun Deng

2026-09– The Hong Kong University of Science and Technology

PhD, Computer Science and Engineering（在读） · 导师 Sehi L’Yi

人机交互、数据可视化、人机协作

Elyssa AyuUndergraduate, Data Science and Technology

GitHub

GitHub 关注: 1
Stars: 0

HKUST

Undergraduate, Data Science and Technology

可视化、机器学习、计算生物学及临床专家可用的分析工具

Luna ChenExchange undergraduate

GitHub

GitHub 关注: 0
Stars: 0

Universiti Putra Malaysia

Undergraduate, Computer Science

HKUST

Exchange student

人机交互、AI 与可视化

Yiyue Chen；Universiti Putra Malaysia 本科，访问 HKUST。

校友与去向11

成员	教育背景	研究方向与经历
Skylar Walters校友 · Research mentee · 2025-2025 简历 · LinkedIn · GitHub GitHub 关注 1 Stars 1	—	PhD Student at UC Berkeley
Arthea Valderrama校友 · Research mentee · 2025-2025	—	Master’s Student at Harvard Medical School
Astrid van den Brandt校友 · Research mentee · 2023-2024 GitHub · LinkedIn GitHub 关注 2 Stars 2	—	Postdoc at Harvard Medical School
Aditeya Pandey校友 · Research mentee · 2020-2021 简历 · X · LinkedIn · GitHub · Google Scholar GitHub 关注 8 Stars 12	—	Visual Data Scientist at Eli Lilly and Company
Thomas Smits校友 · Research mentee · 2023-2025 GitHub GitHub 关注 7 Stars 0	—	PhD Student at Radboud University Medical Center
Lawrence Weru校友 · Research mentee · 2024-2025	—	Secretariat IT Accessibility Officer at Commonwealth of Massachusetts
Sofía Rojas校友 · Research mentee · 2024-2024	—	Machine Learning Engineer at Teradyne
Theresa Harbig校友 · Research mentee · 2023-2023	—	Research Engineer at Erbe
Etowah Adams校友 · Research mentee · 2023-2024 X · Google Scholar · GitHub · LinkedIn GitHub 关注 26 Stars 142	—	PhD Student at Columbia University
Erica Stutz校友 · Research mentee · 2022-2022	—	PhD Student at Yale University
Thanh Dung Ho校友 · Research mentee · 2019-2020	—	Custom Engineering Specialist at Accenture

教育与履历

教育背景

2020
Seoul National University
PhD, Electrical Engineering and Computer Science
导师 Jinwook Seo

任职经历

2026–
HKUST
Assistant Professor; VisAI Lab director
Harvard Medical School
NIH K99/R00 Pathway to Independence Fellow, HIDIVE Lab

学术服务

可视化与生物医学交叉领域的青年教师，已有可复用工具、领域数据论文和无障碍研究。

2020 年获得 Seoul National University 的 PhD in Electrical Engineering and Computer Science。

指导方式与组内生活

实验室以交互式数据系统连接可视化、AI 与生物医学，欢迎跨背景研究者。

跨学科训练

研究页明确面向临床人员、患者、生物学家和科学家设计、评估与部署系统；有学习意愿即可进入生物医学应用研究。

学术影响与网络关注

计算标准

院系样本分位

累计引用26P26

h-index31P31

2024–2026 论文31P31

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 87 篇 · i10-index 28 · 截至 2026-10-17

GitHub · sehilyi个人账号

关注者: 97人
Stars: 34
公开仓库: 86

Arpit NARECHANIA

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: DataVisards
博士毕业于: Georgia Tech · 2024
研究主线: 可视化分析与来源追踪；自然语言与 Human-Agent interaction；应用系统

累计引用: 457次
h-index: 9
2024–2026 论文: 23篇
在组成员: 33人

研究方向

可视化分析与来源追踪
Guidance、analytic provenance、用户反思与决策。
自然语言与 Human-Agent interaction
NL4DV、自然语言解释接口、网页交互与人机协作。
应用系统
GIS、体育分析、数据库、文献与工程领域的数据工作流。

前序 NL4DV、Lumos 和地理可视化工作围绕分析者如何表达意图、理解数据与检查自身行为；2024 使用 LLM 扩展解析能力，2025 把 provenance 变成可操纵的数据属性，2026 转向网页和 agent 辅助分析。连续主线是用户控制、可解释性和交互式决策。

问题导向的交互系统与 design probe

代表作通过原型与用户使用行为提炼设计理解，LLM 是其中的接口和协作机制。

代表论文与近期发表

2024Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language ModelsNLVIZ Workshop at IEEE VIS 2024

研究问题: LLM 将自然语言转换为图表时，推理过程难以解释和调试。
核心方法: 提示模型生成包含属性、任务与图表的 analytic specification，建立输入词语与解析结果的映射并支持会话和歧义识别。
实验结果: 提供基于 GPT-4 的初步评估，开源提示并集成 NL4DV。
实验条件与边界: 论文是 workshop 研究，摘要明确为 preliminary evaluation。
课题组研究线: 从已有自然语言可视化接口延伸至 LLM 辅助解析。
核阅章节: Abstract（完整摘要）

2025Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLensIEEE TVCG 31(10)

研究问题: 传统 provenance 常被系统固定编码，使用者缺乏控制和反思入口。
核心方法: 将交互 recency 和 frequency 作为可视化属性，支持颜色、大小映射及过滤、排序。
实验结果: 16 人探索研究显示参与者能回答其分析轨迹问题；心智模型与编码的不一致能触发反思。
实验条件与边界: 探索性 design probe 的结果主要说明使用策略；因果效果与长期行为改变需要额外评估。
课题组研究线: 把分析者的交互历史纳入数据操作。
核阅章节: Abstract（完整摘要）

2026Facilitating Proactive and Reactive Guidance for Decision Making on the Web: A Design Probe with WebSeekACM CHI 2026

研究问题: 网页 agent 依赖文本提示，缺少主动意图判断及可交互数据分析。
核心方法: 混合主动性浏览器扩展将网页内容提取为表格、列表和图表，在画布中支持 join、变换与 AI 主动和被动指导。原论文以 WebSeek 为 design probe；15 人研究覆盖新闻核查和产品研究。
实验结果: 15 人探索性研究观察到多样分析策略，并突出透明度和控制需求。
实验条件与边界: 全部参与者为学生；raw HTML 加全画布状态的 prompt 带来延迟与成本，技术测试页部分为合成且 DOM 比真实网页简单，画布也存在规模问题。
课题组研究线: 把 guidance 和用户自主控制拓展到 agent 工作流。
核阅章节: Abstract（完整）、arXiv v1：1 Introduction（完整）、8.5 Limitations and Future Work（完整）、9 Conclusion（完整）

2024–2026 论文目录（共 23 篇）

2026 年12 篇

2025 年8 篇

2024 年3 篇

实验室与成员

DataVisards

博士生: 5
硕士生: 3
RA、访问与其他: 25

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

可视化分析与来源追踪；自然语言与 Human-Agent interaction；应用系统

在组成员33

成员	教育背景	研究方向与经历
Eman AnsarMPhil, CSE · 2025– GitHub GitHub 关注 17 Stars 2	2021–2025 Carnegie Mellon University BSc, Computer Science; Machine Learning concentration 2025–2027 expected HKUST MPhil, CSE	以人为本 AI、具身认知、棋类可见行为与决策分析 Qatar Computing Research Institute · AI Cybersecurity Research Intern2023-05–2023-07
Fengjie WangPhD, CSE · 2025-08– Google Scholar · GitHub GitHub 关注 2 Stars 0	Sichuan University Bachelor, Computer Science and Technology 2024 Sichuan University Master, Computer Science and Technology	AI 辅助数据交流与计算笔记本交互工具
Jieliang YinPhD, IIP · 2025–present	—
Yanwei HuangPhD, CSE · 2025–present CV	2022 Zhejiang University BS, Computer Science 2025 Zhejiang University MS, Software Engineering · 导师 Yingcai Wu；Di Weng 2025-09– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Arpit Narechania	可视化、多智能体系统、数据科学、人机协作 ByteDance, Lark Suite · Frontend Engineer Intern2021-02–2021-06参与 Lark 前端与 SDK 开发。 HiThink Research · Research Intern2025-03–2025-08逻辑推理数据合成。
Jianheng OuyangMPhil, CSE · 2026-08– GitHub GitHub 关注 3 Stars 0	2026 South China University of Technology Bachelor 2026-08–2028-06 expected HKUST MPhil, CSE	人机交互与以人为本的交互式 AI
Thinh Nguyen TruongMPhil, CSE · 2026–present	—
Xiaoyu WangPhD, CSE · 2026–present GitHub GitHub 关注 10 Stars 2	Peking University, Yuanpei College BSc, Data Science The Hong Kong University of Science and Technology MSc, Big Data Technology The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Arpit Narechania	人机交互、新型输入输出技术、用户非语言交流线索 Institute of Computing Technology, Chinese Academy of Sciences · Research Intern研究导师 Tengxiang Zhang。
Zhiteng CaoPhD, CSE · 2026–present	—
Tong YiyaoUROP · Fall 2026	HKUST
Waleed MunirUROP · Fall 2026	—
Yik Long WongUROP · Summer 2026 · Fall 2026	—
Muhammad Zohaib IrfanCOMP 4910 · Fall 2026	—
Abdelrahman AwadallaFYT #1 · 2026–27	—
Nok ChanARIN 6900 · Fall 2026 · Spring 2027	—
Jingyi WangCSIT 6910 · Fall 2026	—
Ng Jia Sheng JasonCSIT 6910 · Fall 2026	—
LIU ZexuanCOMP 4971 · Fall 2026	—
Hui Ka TaiFYP #1 · 2026–27	—
Kong Kwok HinFYP #1 · 2026–27	—
Zheng Ka CheongFYP #1 · 2026–27	—
Wong Ka HeiFYP #1 · 2026–27	—
Pranavi KuntrapakamFYP #2 · 2026–27	—
Kavya PareekFYP #2 · 2026–27	—
Anas BoutorFYP #2 · 2026–27	—
Zhang XingjianFYP #3 · 2026–27	—
Cheung Alan Pak ToFYP #3 · 2026–27	—
Su ZiwenFYP #4 · 2026–27	—
Tang Ho YeungFYP #4 · 2026–27	—
Leong Hok WengFYP #4 · 2026–27	—
Yeung Miu WanFYP #5 (w/ Dr. Lionel Parreaux) · 2026–27	—	Co-supervised with Lionel Parreaux
Oh YeontaekFYP #5 (w/ Dr. Lionel Parreaux) · 2026–27	—	Co-supervised with Lionel Parreaux
Chung Ho ManFYP #5 (w/ Dr. Lionel Parreaux) · 2026–27	—	Co-supervised with Lionel Parreaux
Lee EunseoFYP #5 (w/ Dr. Lionel Parreaux) · 2026–27	—	Co-supervised with Lionel Parreaux

校友与去向19

成员	教育背景	研究方向与经历
Haichang Li校友 · PG Intern · Fall 2025	George Mason U.
Tenghao Ji校友 · PG Intern · Spring 2025	U. Michigan
Olivia Howe校友 · SRP · Summer 2026	U. Washington
Martin Tin校友 · SRP · Summer 2026	U. Toronto
Kushall Saraf校友 · SRP · Summer 2026	U. Toronto
Sujal Kaware校友 · IVISP · Summer 2026	IIT Kharagpur
Shuvam Dash校友 · IVISP · Summer 2026	IIT (ISM) Dhanbad
Siyu Jiang校友 · UROP · Summer 2026	—
Pak Ho Lam校友 · UROP · Spring 2026 · Summer 2026	—
Arnav Bala校友 · UROP · Spring 2026	—
Mridul Kumar Sharma校友 · ARIN 6900 · Spring 2026 · Summer 2026	—
Antariksh Verma校友 · COMP 4971 · Fall 2025 · Spring 2026	—
Abdullah Imtiaz校友 · COMP 4910 · Spring 2026	—
Jerzy Jan Janeczek校友 · FYP #1 · 2025–26	—
Seokhyeon Hong校友 · FYP #1 · 2025–26	—
Angus Han Jern Loh校友 · FYP #1 · 2025–26	—
Arnav Kithania校友 · FYP #1 · 2025–26	—
Wong Ho Fung校友 · FYP #2 · 2025–26	—
Tsz Yan Giann Chung校友 · FYP #2 · 2025–26	—

教育与履历

教育背景

2014
RWTH Aachen University
Study Abroad, Mechanical Engineering
2015
IIT Mandi
BTech, Mechanical Engineering
2017
Indian Institute of Science
Proficiency Certificates, Data Mining and Data Analytics
2024
Georgia Tech
PhD, Computer Science
导师 Alex Endert

任职经历

2015–2018
Khosla Labs
Full Stack Data Scientist
2017–2018
Rave Analytics
Founding Full Stack Engineer
2018–2019
Lumovia
Co-founder
2020
Microsoft Research
Research Intern
2021、2022、2023
Adobe Research
Research Intern
2025–
HKUST
Assistant Professor

学术服务

HCI 与 visualization 青年教师，主要贡献形态是开源交互系统、设计概念和用户研究。

指导方式与组内生活

成员页公开列出研究生、访问实习、UROP 与课程项目等多种参与方式。

研究参与方式

名册分别列出核心研究生、PG／UG intern、SRP、IVISP、UROP、FYP 和独立研究课程。

业界合作与实习

合作机构: 7家
合作记录: 8条
成员产业经历: 4条

Adobe Research（research internship and product transfer）；Microsoft Research（research internship）；Ford（research collaboration and deployment）；Lumovia（co-founder）；Khosla Labs（employment）

Adobe Research 研究实习与产品转化
2021–2023 实习；CV 记载数据准备研究进入 Adobe 产品与 Adobe Sneaks
Microsoft Research 研究实习
2020 年研发用于检查和修复 Human-AI 对话错误的技术
Ford 研究合作与系统部署
Georgia Tech 博士阶段汽车系统分析工具已部署到 Ford 生产环境
Lumovia 联合创办企业
2018–2019 AR、5G 物理教育创业
Khosla Labs 任职
2015–2018 Full Stack Data Scientist
Adobe Systems Incorporated 资助研究项目
人机协作的生成式用户界面；负责人；2026–
Adaptive Machines, Inc 资助研究项目
提升用户对 AI 数据分析的信任；负责人；2026–
Huawei Technologies Co., Ltd. 资助研究项目
多模型智能体的生成式用户界面；负责人；2025–

成员实习与产业经历

2021-02–2021-06
Yanwei Huang · ByteDance, Lark Suite
Frontend Engineer Intern · 参与 Lark 前端与 SDK 开发。
2023-05–2023-07
Eman Ansar · Qatar Computing Research Institute
AI Cybersecurity Research Intern；Carnegie Mellon 本科阶段；AI Cybersecurity Research Intern
2025-03–2025-08
Yanwei Huang · HiThink Research
Research Intern · 逻辑推理数据合成。
Xiaoyu Wang · Institute of Computing Technology, Chinese Academy of Sciences
Research Intern · 研究导师 Tengxiang Zhang。

学术影响与网络关注

计算标准

院系样本分位

累计引用17P17

h-index13P13

2024–2026 论文46P46

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 48 篇 · i10-index 9 · 截至 2026-10-17

GitHub · arpitnarechania个人账号

关注者: 50人
Stars: 130
公开仓库: 18

Xiaomin OUYANG

歐陽小敏

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: Mobile, Intelligent, and Networked System（MINSys）Group
博士毕业于: Chinese University of Hong Kong · 2023
研究主线: Machine learning for Internet of Things (IoT)；Mobile computing；Smart health；Cyber-physical systems；On-device and embodied AI；Smart Health；Mobile Sensing

累计引用: 760次
h-index: 11
2024–2026 论文: 38篇
在组成员: 17人

研究方向

Machine learning for Internet of Things (IoT)
Mobile computing
Smart health
Cyber-physical systems
On-device and embodied AI
处理 mobile、IoT 和 embodied systems 中的实际数据与系统约束。
Smart Health
个性化监测与干预、AD digital biomarkers。
Mobile Sensing
使用 physics-strengthened AI 改善感知。

ClusterFL（2021）从联邦人类活动识别出发，Cosmo（2022）处理小数据多模态，Harmony（2023）处理异构多模态联邦。ADMarker 将这些方法落到健康传感；MMBind 扩展不完整、异构分布式数据；MMEdge 进一步处理端侧多模态感知与计算时延。

真实感知数据约束驱动的多模态学习与端侧系统

跨年份主线连接数据异构、小样本、临床部署和 sensing/encoding pipeline；独立新组项目已延续该机制。

代表论文与近期发表

2024ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer’s DiseaseMobiCom；已读 2024 作者稿

研究问题: 居家 IoT 的多模态数据、少标签、设备差异限制 AD digital biomarker monitoring。
核心方法: 三阶段 federated multimodal learning，分别处理表示、标签不足与设备/计算异构，并部署传感系统。
实验结果: 91 位老人、四周 clinical study；biomarker detection accuracy 最高 93.8%，early AD detection 平均 88.9%。
实验条件与边界: 结论范围为论文研究人群与条件；更广临床诊断、长期收益及外部验证另行评价。
课题组研究线: 将此前 multimodal federated learning 用于 smart health。
核阅章节: Abstract、Introduction（开头）、Conclusion

2025MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoTSenSys

研究问题: IoT 各数据源缺失不同模态、分布漂移，难直接联合训练。
核心方法: 以语义充分的共同模态构造 pseudo-paired data，使用 weighted contrastive loss 和适配多模态架构。
实验结果: 在 10 个数据集上的结果支持缺失模态、异构数据和 domain shift 条件下的改进。
实验条件与边界: 共同模态需提供足够关联信息；伪配对误差与域差异影响收益。
课题组研究线: 继承小数据与异构多模态学习路线。
核阅章节: Abstract、Introduction（开头）、Conclusion

2026MMEdge: Accelerating On-device Multimodal Inference via Pipelined Sensing and EncodingSenSys

研究问题: 端侧多模态推理通常串行等待 sensing 完成，时延高。
核心方法: 将 sensing/encoding 分解并流水化，结合 temporal aggregation、latency-aware adaptive configuration 和 cross-modal speculative skipping。
实验结果: 两个公开数据集与真实 UAV testbed 显示时延下降并保持任务准确度。
实验条件与边界: 收益依传感率、模型结构与时延预算；跨新设备/任务仍需实测。
课题组研究线: 把多模态学习推进到实际端侧执行路径。
核阅章节: Abstract、Introduction（开头）、Conclusion

2024–2026 论文目录（共 38 篇）

2026 年20 篇

2025 年12 篇

2024 年6 篇

实验室与成员

Mobile, Intelligent, and Networked System（MINSys）Group

博士生: 10
硕士生: 1
RA、访问与其他: 6

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Machine learning for Internet of Things (IoT)；Mobile computing；Smart health；Cyber-physical systems；On-device and embodied AI；Smart Health；Mobile Sensing

在组成员17

成员	教育背景	研究方向与经历
Runxi HuangPhD · 2024 Fall–CSE Google Scholar · ORCID · GitHub · OpenAlex OpenAlex 近三年 6 引用 4 h-index 1 GitHub 关注 0 Stars 5	2018–2023 Beihang University BEng, Software Engineering 2023–2024 Nanyang Technological University MSc, Computer Control and Automation	efficient edge AI systems、mobile computing、multimodal learning、mobile GUI agents
Yizhen WangPhD · 2025 Fall–CSE	Zhejiang University BSc
Liyu ZhangPhD · 2025 Fall–CSE GitHub · Google Scholar · LinkedIn GitHub 关注 8 Stars 1	2021–2025 HKUST BEng, Computer Science 2023–2024 EPFL Exchange	AI-enhanced IoT systems
Yejia LiuPhD · 2025 Fall–CSE GitHub GitHub 关注 1 Stars 1	Shanghai Jiao Tong University BSc
Haoxian LiuMPhil · 2025 Fall–CSE	SUSTech BSc
Yuchen WangPhD · 2025 Fall–CSE	Tsinghua University BSc	与 Xiaomeng Li co-advised
Dehao WangPhD · 2026 Fall–CSE GitHub · Google Scholar GitHub 关注 0 Stars 6	2022–2026 Beijing Institute of Technology Bachelor, Electronic Science and Technology	non-invasive BCI、smart health、autonomous driving perception
Kun QianPhD · 2026 Fall–CSE	Huazhong University of Science and Technology BSc
Alex DingPhD/MPhil · 2026 Fall–	University of British Columbia BSc
Bin ZhouPhD · 2026 Fall–CSE	Sichuan Agricultural University BSc HKUST MSc	与 Kani Chen co-supervised
Hengle JiangUndergraduate researcher · 2024 Fall–	SUSTech 本科在读
Larry Kwun Ho LiuUndergraduate researcher · 2025 Spring–	HKUST 本科在读
Yuchen Wang (UG)Undergraduate researcher · 2025 Spring–	HKUST 本科在读
Lanxuan HongUndergraduate researcher · 2025 Spring–	HKUST 本科在读
Hongyu ChenUndergraduate researcher · 2025 Summer–	HKUST 本科在读
Jiajun FuUndergraduate researcher · 2025 Summer–	USTC 本科在读
Zihan DingPhDCSE	—

合作成员1

成员	教育背景	研究方向与经历
Yolanda LauPhD · 2024 Spring–	University College London PhD	Xiaomin Ouyang 为 secondary supervisor

教育与履历

教育背景

2023
Chinese University of Hong Kong
PhD, Information Engineering
导师 Guoliang Xing；Jianwei Huang

任职经历

2024 Fall–
HKUST CSE
Assistant Professor
UCLA
Postdoctoral researcher, NESL

学术服务

2024 年秋入职的 mobile/IoT systems 青年教师，已有明确领域论文奖和博士论文奖。

UCLA postdoc 与 Mani Srivastava 合作。

指导方式与组内生活

组内交流学生记录

Runxi Huang 个人主页记录 Summer 2025 MINSys Lab Workshop 的 Best Presentation Award。

访问与组内实习

组内开放通常至少六个月的 research internship。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

学校项目记录列有企业资助的研究项目。

Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 Foundation Model-Assisted Complex Sensing and Personalized Feedback on Mobile Devices（2024 - 2026）

学术影响与网络关注

计算标准

院系样本分位

累计引用21P21

h-index20P20

2024–2026 论文59P59

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 53 篇 · i10-index 12 · 截至 2026-10-17

GitHub · xmouyang个人账号

关注者: 79人
Stars: 206
公开仓库: 8

Lionel PARREAUX

Assistant Professor

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: TACO Lab — Types, Abstraction, Compilers & Optimization
博士毕业于: EPFL · 2020
研究主线: Type systems；Compiler optimization；Metaprogramming；Functional programming；Domain-specific languages

累计引用: 293次
h-index: 9
2024–2026 论文: 15篇
在组成员: 12人

研究方向

从 EPFL 阶段 Squid 的 type-safe metaprogramming，延续到 MLstruct/MLscript 的 algebraic subtyping、语言设计和 Lumberhack；近期 InvalML 把 subtype inference 用于资源失效安全。

同一语言与类型基础上累积形式化和实现

长期项目串联类型推断、元编程、优化，三篇样本均给具体语言机制与形式论证。

代表论文与近期发表

2024The Long Way to Deforestation: A Type Inference and Elaboration Technique for Removing Intermediate Data StructuresICFP

研究问题: 函数式程序中间数据结构造成分配与遍历成本。
核心方法: Lumberhack 用 subtype inference 分析 producer/consumer，以 elaboration 合并递归定义；给 soundness 证明。
实验结果: 38 个调整为 call-by-value 的 nofib 程序平均加速 8.2%，平均代码大小 1.79 倍。
实验条件与边界: 19 个程序基本不变、2 个变慢；自动 fusion 仍会漏掉机会。
课题组研究线: 把类型推断用于编译优化。
核阅章节: Abstract、Introduction（开头）

2025A Lightweight Type-and-Effect System for Invalidation Safety: Tracking Permanent and Temporary Invalidation with Constraint-Based Subtype InferenceOOPSLA

研究问题: 永久或暂时失效的资源引用难以在高层语言静态追踪。
核心方法: higher-rank polymorphic type-and-effect system 结合 Boolean-algebraic types，无 aliasing/capture 限制。
实验结果: InvalML 给出完整类型推断算法，适用内存区域、iterator invalidation、并发与作用域安全等例子。
实验条件与边界: 高阶与 polymorphic-recursive 函数需要类型标注。
课题组研究线: 继续用 subtype inference 统一安全与表达力。
核阅章节: Abstract、Introduction（开头）、§7 Conclusion

2024The Ultimate Conditional SyntaxOOPSLA

研究问题: pattern matching 的嵌套、共享条件与中间绑定需要分散扩展。
核心方法: condition splitting 与 conditional pattern flowing，desugar 到最小核心再归一化为无回溯形式。
实验结果: 给语义保持证明及 MLscript 示例，统一多个匹配习惯。
实验条件与边界: 当前实现将 UCS 转换与 type checker 分开；更紧密的类型检查、更高效编译、优化算法与 or-pattern 扩展列为未来工作。可读性由设计与示例支持。
课题组研究线: 面向语言使用者的语法设计仍由形式语义约束。
核阅章节: Abstract、Introduction（开头）、§6 Conclusions and Future Work

2024–2026 论文目录（共 15 篇）

2026 年6 篇

2025 年1 篇

2025 · Proc. ACM Program. Lang.A Lightweight Type-and-Effect System for Invalidation Safety: Tracking Permanent and Temporary Invalidation with Constraint-Based Subtype Inference

2024 年8 篇

实验室与成员

TACO Lab — Types, Abstraction, Compilers & Optimization

博士生: 12

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Type systems；Compiler optimization；Metaprogramming；Functional programming；Domain-specific languages

在组成员12

成员	教育背景	研究方向与经历
John (Chun Kit) LamPhD	—	HKPFS
Chun Yin ChauPhDCSE	—	HKPFS；2024 年完成本组 MPhil 后继续 PhD
Cunyuan GaoPhDCSE	—
Yijia (Anto) ChenPhDCSE	—	HKPFS
Anson YeungPhD	—	HKPFS
David (Ching Hang) MakPhD	—	由 M-Labs 资助 PhD
Heung Tung AuPhDCSE	—
Mark (Pui Hei) NgPhDCSE	—	HKPFS
Maxime MulderPhDCSE	—
Chun Kit LamPhDCSE	—
Sin Hang YeungPhDCSE	—
Ching Hang MakPhDCSE	—

校友与去向4

成员	教育背景	研究方向与经历
Andong Fan校友 · MPhil · 2022–2024CSE	2024 HKUST MPhil
Luyu Cheng校友 · PhD · 2021–2026CSE	2026 HKUST PhD
Ishan Bhanuka校友 · MPhil · 2022–2024CSE	2024 HKUST MPhil
Ruqing Yang校友 · MPhil · 2023–2025CSE	2025 HKUST MPhil

教育与履历

教育背景

2014
INSA Lyon
Master-level Engineering Degree
2020
EPFL
PhD, Computer Science

任职经历

2021-02–
HKUST CSE
Assistant Professor

学术服务

以类型系统、语言设计与编译优化见长；获多个可定位的论文奖。

ICFP 2024 The Long Way to Deforestation、OOPSLA 2024 The Ultimate Conditional Syntax 与 Fast and Optimal Extraction for Sparse Equality Graphs 获 Distinguished Paper。

指导方式与组内生活

语言实现

组公开以 Scala、Haskell 和自研 MLscript 等语言开展类型系统与编译研究，并以真实程序员可用性为目标。

业界合作与实习

合作机构: 2家
合作记录: 3条
成员产业经历: 0条

公开记录包括 M-Labs 博士资助与 Huawei R&D 技术交流。

M-Labs 学生资助
David Mak 的 PhD 由 M-Labs 资助。
Huawei R&D 研究工作坊
2024-07 组页记录与 Vladimir Rubanov、Anton Soldatov 围绕 OpenHarmony、ArkTS 的 mini-workshop。
Huawei Technologies Co., Ltd. 资助研究项目
牵头项目 No Projects. A Lightweight Type System for Scope and Effect Safety with Complete Bidirectional & Boolean-algebraic Type Inference（2024 -）

学术影响与网络关注

计算标准

院系样本分位

累计引用9P9

h-index13P13

2024–2026 论文35P35

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 51 篇 · i10-index 9 · 截至 2026-10-17

GitHub · LPTK个人账号

关注者: 175人
Stars: 257
公开仓库: 57

Dongdong SHE

佘東冬

Assistant Professor

个人主页 · 学校档案 · 档案

博士毕业于: Columbia University · 2023
研究主线: Software systems and security；Program analysis and testing；Machine learning；Applied data-driven approaches (e.g., large language models, machine learning, optimization) in security

累计引用: 527次
h-index: 9
2024–2026 论文: 19篇
在组成员: 6人

研究方向

2019 NEUZZ、2020 Neutaint 和 MTFuzz 使用学习方法支持程序分析；2022–2025 继续研究 seed scheduling、fuzzing 控制与符号执行；2026 研究语义缓存、工具调用和上下文压缩的安全边界。

程序分析机制与数据驱动安全并行

FOX 和 Empc 均把传统启发式改写为可分析的优化问题；CacheAttack 延续真实系统边界与攻击验证。

代表论文与近期发表

2024FOX: Coverage-guided Fuzzing as Online Stochastic ControlCCS

研究问题: coverage-guided fuzzing 的粗粒度调度反馈与无分支感知的 mutation 限制覆盖。
核心方法: 以在线随机控制统一 scheduler 与 mutator，使用 branch distance 指向 frontier branches。
实验结果: 38 个程序、约 6 CPU-years 实验；真实程序覆盖相对 AFL++ 最高平均改善 26.45%，发现 8 个此前未知 bug。
实验条件与边界: 结果来自给定程序集与时间预算；覆盖增长和漏洞发现分别计量。
课题组研究线: 从 NEUZZ 的学习式搜索推进到控制论式资源分配。
核阅章节: Abstract、Introduction（开头）、Conclusion

2025Empc: Effective Path Prioritization for Symbolic Execution with Path CoverIEEE S&P

研究问题: 符号执行面临路径爆炸。
核心方法: 用多个 minimum path covers 指导路径优先级，并结合程序依赖处理不可行路径。
实验结果: KLEE 实现；12 个 benchmark 上基本块覆盖较其最佳策略多 19.6%，内存最多降低 93.5%。
实验条件与边界: 比较限定 KLEE-based 策略；作者将 angr 与 fuzzing 扩展留作后续。
课题组研究线: 继续研究程序探索中的资源分配与覆盖目标。
核阅章节: Abstract、Introduction（开头）、§7 Limitations and Future Work、§9 Conclusion

2026From Similarity to Vulnerability: Key Collision Attack on LLM Semantic CachingICML

研究问题: 语义缓存的相似性复用产生响应完整性风险。
核心方法: 把 semantic keys 建模为 fuzzy hashes，提出黑盒 generator–validator 碰撞框架 CacheAttack。
实验结果: 实验报告 LLM response hijacking 命中率 86%，并检验 embedding 模型间迁移与 agent 工作流。
实验条件与边界: 结果依赖语义缓存共享与匹配机制；缓存效率和鲁棒性存在取舍。
课题组研究线: 把底层系统边界分析应用于 LLM 服务层。
核阅章节: Abstract、Introduction（开头）、§5.2（开头）、§8 Conclusion（抽取可读部分）

2024–2026 论文目录（共 19 篇）

2026 年8 篇

2025 年9 篇

2024 年2 篇

实验室与成员

博士生: 5
硕士生: 1

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Software systems and security；Program analysis and testing；Machine learning；Applied data-driven approaches (e.g., large language models, machine learning, optimization) in security

在组成员6

成员	教育背景	研究方向与经历
Yuchong XiePhD · 2024 Fall–CSE	Shanghai Jiao Tong University BSc Shanghai Jiao Tong University MSc	Kimi · Research Intern, RL team Qwen · Research Intern, foundation-model cyber team 与 Shuai Wang co-advised；曾参加 SJTU 0ops team
Shuangjie YaoPhD · 2024 Fall–CSE Google Scholar · GitHub · LinkedIn · X GitHub 关注 10 Stars 39	2019–2023 Shanghai Jiao Tong University BEng, Computer Science and Technology 2026-04–2026-08 Columbia University Visiting Scholar	program analysis、formal methods、neuro-symbolic AI Tencent · Research Intern, Hunyuan 2024-02–08 在 HKUST 任 RA；2026-04–08 在 Columbia University 访问（本人主页日期）
Zesen LiuPhD · 2025 Fall–CSE Google Scholar · GitHub GitHub 关注 9 Stars 21	Xidian University BSc	Tencent · Research Intern, Hunyuan
Kaikai ZhangPhD · 2025 Fall–CSE GitHub GitHub 关注 8 Stars 13	Shanghai Jiao Tong University Bachelor, Computer Science and Technology	LLM cybersecurity、vulnerability discovery/reproduction/patching、cyber agents Qwen foundation-model cyber team · Research Intern（PhD 期间，主页列当前）
Zhixiang ZhangPhD · 2026 Fall–CSE GitHub GitHub 关注 5 Stars 3	Fudan University Bachelor, Software Engineering	AI security、agentic RL、LLM-agent robustness/privacy
Haoyang LiuMPhilCSE	—

即将加入1

成员	教育背景	研究方向与经历
Zihan Zhang即将加入 · Incoming PhD · 2027 Fall–	SUSTech BSc	Incoming PhD

校友与去向1

成员	教育背景	研究方向与经历
Qiao Zhang校友 · MPhil · 2026CSE	—

教育与履历

教育背景

Huazhong University of Science and Technology
Bachelor
2023
Columbia University
PhD, Computer Science
导师 Suman Jana；Baishakhi Ray

任职经历

HKUST CSE
Assistant Professor

学术服务

青年安全研究者；可核验贡献从神经程序分析、fuzzing 延伸到 LLM agent 安全。

主页列出 S&P 2025 Empc 与 ISSTA 2025 RouthSearch 的 Distinguished Paper Award；CCS 2022 MC2 获 Best Paper Runner-Up。

在 Columbia 之前曾与 UC Riverside 的 Zhiyun Qian 研究 Android security。

业界合作与实习

合作机构: 3家
合作记录: 3条
成员产业经历: 5条

学生在 Kimi、Qwen、腾讯混元的实习与 LLM safety/cybersecurity 课题相连。

Kimi 学生实习
Yuchong Xie 在 RL team 实习。
Qwen 学生实习
Yuchong Xie、Kaikai Zhang 在 foundation-model cyber team 实习。
Tencent Hunyuan 学生实习
Shuangjie Yao、Zesen Liu 实习。

成员实习与产业经历

Yuchong Xie · Kimi
Research Intern, RL team
Yuchong Xie · Qwen
Research Intern, foundation-model cyber team
Shuangjie Yao · Tencent
Research Intern, Hunyuan
Zesen Liu · Tencent
Research Intern, Hunyuan
Kaikai Zhang · Qwen foundation-model cyber team
Research Intern（PhD 期间，主页列当前）

学术影响与网络关注

计算标准

院系样本分位

累计引用19P19

h-index13P13

2024–2026 论文42P42

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 43 篇 · i10-index 9 · 截至 2026-10-17

Jiasi SHEN

沈嘉思

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: Software Automation Research Group
博士毕业于: Massachusetts Institute of Technology · 2022
研究主线: Programming languages；Program analysis；Program transformation；Software engineering

累计引用: 327次
h-index: 6
2024–2026 论文: 16篇
在组成员: 13人

研究方向

博士阶段程序分析/转换延续到自动 API migration、编译优化与软件验证；2025–2026 使用 GNN 改 PGO，并建立操作系统 specification generation benchmark。

语义保证与软件实际迁移需求相接

Sprout 要求 behavioral equivalence；ProfiX 用最终 binary performance 评价；OSVBench 检查完整 spec 而不只通过 proof search。

代表论文与近期发表

2025A Sound Static Analysis Approach to I/O API MigrationOOPSLA

研究问题: stateful、分散调用的 I/O APIs 难以自动迁移。
核心方法: Sprout 用 flow-sensitive pointer analysis 找 semantic variables，再做 typestate matching 和 program synthesis。
实验结果: 在真实 C 程序验证迁移，并可适配 database API，给 behavioral equivalence 保证。
实验条件与边界: 保证依 API specification 与支持程序模型；任意 API 需要建模。
课题组研究线: 延续程序分析和自动转换。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2025ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural NetworksNeurIPS

研究问题: sampling-based PGO 在 fully optimized binaries 中 profile 不准确。
核心方法: hybrid GNN 修正 profile inference 并用于编译优化。
实验结果: SPEC2017 上相对传统算法性能最高改善 9.15%，相对 ML baseline 平均改善 6.26%。
实验条件与边界: 基准/架构迁移与采样配置会影响收益。
课题组研究线: 将学习用于成熟编译器性能机制。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2026OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System VerificationAAAI

研究问题: OS verification 的 specification generation 缺真实复杂任务评测。
核心方法: 由 Hyperkernel 构建 245 个 20k–30k token 任务，包含 5 类 bug injection。
实验结果: 12 个模型表现有限且差异明显，展示长上下文语义理解缺口。
实验条件与边界: 单一 kernel/domain；benchmark 能力不能直接等同完整 OS verification。
课题组研究线: 继续语义化软件自动化与模型能力边界。
核阅章节: Abstract、Introduction（开头）、Conclusion（开头）

2024–2026 论文目录（共 16 篇）

2026 年10 篇

2025 年6 篇

实验室与成员

Software Automation Research Group

博士生: 12
硕士生: 1

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Programming languages；Program analysis；Program transformation；Software engineering

在组成员13

成员	教育背景	研究方向与经历
Shangyu LiPhDCSE	UESTC Bachelor HKUST Master	program synthesis、code generation、symbolic-neural methods
Sizhe ZhongPhDCSE	South China University of Technology Bachelor, Computer Science and Technology	软件工程、程序设计语言
Huiri TanPhDCSE GitHub GitHub 关注 30 Stars 101	2022 Wuhan University Bachelor, Software Engineering	PL、SE、ML；multi-agent language design and program analysis ；本科毕业后在 Tsinghua SIGS 任 research staff
Jialu YangPhDCSE GitHub GitHub 关注 11 Stars 6	2020–2024 Shanghai Jiao Tong University BEng, Software Engineering	programming languages、software engineering ；本科最后一年随 IPADS Yubin Xia 研究
Jingyi ChenPhDCSE GitHub GitHub 关注 1 Stars 1	2024 Nankai University BS, Computer Science and Technology 2024– The Hong Kong University of Science and Technology PhD, Computer Science and Engineering（在读） · 导师 Shing-Chi Cheung；Jiasi Shen	AI for Software Engineering、检索增强代码生成 co-supervised with Shing-Chi Cheung
Zhaoyang ZhangPhDCSE ORCID · GitHub GitHub 关注 12 Stars 0	—	program synthesis、program translation 及软件工程应用
Ahmed ZaherPhDCSE	Tanta University BSc HKUST MPhil 2025-04–2025-06 Aarhus University Research visit	parameterized algorithms/complexity、program analysis、compiler optimization co-supervised with Amir Goharshady；Aarhus host Andreas Pavlogiannis；HKPFS
Kerim KochekovPhDCSE	—	co-supervised with Amir Goharshady
Pavel HudecPhDCSE GitHub · CV GitHub 关注 0 Stars 0	2021 Charles University in Prague Bc, General Mathematics · 导师 Jan Šťovíček	参数化算法、程序验证、SMT 求解、抽象解释、Markov 决策过程 Jane Street · Quantitative Trading Intern2020-07–2020-09远程参与 London 团队，研究交易量与波动率模型。 co-supervised with Amir Goharshady；HKPFS
Meibo RenPhDCSE	—
Tanapoom SermchaiwongPhDCSE	2026 HKUST MPhil
Yikun WangPhDCSE	—
Chenqi LiuMPhilCSE	—	2024 UROP 后转 MPhil

校友与去向19

成员	教育背景	研究方向与经历
Soroush Farokhnia校友 · PhD · 2026CSE Google Scholar	2026 HKUST PhD	与 Amir Goharshady 共同指导
Xuran Cai校友 · MPhil · 2025CSE GitHub · Google Scholar GitHub 关注 10 Stars 51	2025 HKUST MPhil	与 Amir Goharshady 共同指导
Zhaorun Lin校友 · MPhil · 2025CSE 简历 · Google Scholar · ORCID · GitHub · LinkedIn GitHub 关注 5 Stars 4	2025 HKUST MPhil	与 Amir Goharshady 共同指导
Kuo Chen校友 · UROP / RA · 2023–2024 / 2025–2026	—
Yichuan Li校友 · PGVIS · 2025	—
Jiaze Wang校友 · RA · 2024–2025	—
Siyu Chen校友 · RA · 2023–2024 GitHub 关注 132 Stars 381	—	PhD, Purdue
Tiancheng Zhao校友 · Postgraduate researcher · 2023–2024	—	Georgia Tech graduate student；后续 PhD 随 HKUST Chaojian Li
Jiayi Qian校友 · UROP · 2025–2026	—
Junping Wang校友 · UROP · 2025–2026	—
Ivan (Yin Fung) Lok校友 · UROP · 2025	—
Li Zhang校友 · UROP · 2025	—
Puyang Zhang校友 · UROP · 2024–2025	—
Xiaoyan Guo校友 · HKUST–USTC summer intern · 2025 简历 · GitHub GitHub 关注 1 Stars 0	—	PhD, University of Virginia
Yuhua Zhao校友 · UROP · 2024	—
Chaobo Jia校友 · UGVIS · 2024 简历 · Google Scholar · GitHub GitHub 关注 76 Stars 82	—
Sirui Xie校友 · UGVIS · 2023	—
Jerry Wu校友 · MIT UROP / MEng · 2017–2018	—	与 Martin Rinard 共同指导
Varun Mangalick校友 · MIT SuperUROP · 2017–2018	—	与 Martin Rinard 共同指导

教育与履历

教育背景

Peking University
Bachelor
Massachusetts Institute of Technology
Master
2022
Massachusetts Institute of Technology
PhD, Computer Science and Engineering
导师 Martin Rinard

任职经历

2023–
HKUST CSE
Assistant Professor

学术服务

2023 年加入 HKUST 的程序语言与软件自动化青年教师。

指导方式与组内生活

研究人员培养路径

公开名单记录 UROP/UGVIS/RA 转入本组 MPhil/PhD 的路径，包括 Chenqi Liu、Meibo Ren、Yikun Wang、Zhaoyang Zhang。

组活动

组页展示 2024 MacLehose Trail、Lion Rock 和 2025 Tai Tong hiking。

访问与组内实习

接受 UROP、UGVIS、PGVIS；提交学校申请前先邮件联系导师。

业界合作与实习

合作机构: 0家
合作记录: 0条
成员产业经历: 1条

成员实习与产业经历

2020-07–2020-09
Pavel Hudec · Jane Street
Quantitative Trading Intern · 远程参与 London 团队，研究交易量与波动率模型。

学术影响与网络关注

计算标准

院系样本分位

累计引用12P12

h-index7P7

2024–2026 论文37P37

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 49 篇 · i10-index 5 · 截至 2026-10-17

Yinghao XU

徐英豪

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: HKUST XU Lab
博士毕业于: CUHK · 2023
研究主线: 3D 表示与基础模型；视频世界模型；具身 AI

累计引用: —次
h-index: —
2024–2026 论文: 41篇
在组成员: 14人

研究方向

3D 表示与基础模型
稀疏视角重建、neural scene representation、流式几何。
视频世界模型
可控视频生成、相机控制、长程场景表示。
具身 AI
从环境表征扩展到理解、交互与物理世界推理；公开项目包括 LingBot-VA。

主页把 3D generative models、neural scene representation 列为前序主题，把 video world modeling、embodied AI 与 3D foundation model 列为当前主题。GRM 的快速多视角表示、CameraCtrl 的几何控制和 LingBot-Map 的流式状态管理体现连续的空间表征问题。产业世界模型项目与新学校组的资源、数据和归属需要单独确认。

几何表示、生成模型与实际效率结合

代表作不仅评价图像质量，还研究相机参数、实时重建和序列状态压缩。

代表论文与近期发表

2024GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and GenerationarXiv 2024

研究问题: 从稀疏多视角快速恢复可渲染 3D 资产。
核心方法: 前馈 Transformer 将像素映射为 pixel-aligned Gaussians，再反投影成三维高斯；可连接多视角 diffusion。纯 Transformer encoder 加 window-attention upsampler，输入为分布较均匀的四视角；模型重点恢复高频细节。
实验结果: 作者报告约 0.1 秒重建，并在质量和效率上优于所比方法；展示 text-to-3D 与 image-to-3D。
实验条件与边界: 作者明确指出不一致输入视角会损害质量；系统限于 object-centric scenes，未被任一输入覆盖的区域可能出现模糊纹理。重建器本身是确定性的。
课题组研究线: 把 neural representation 推进为可规模训练的前馈重建。
核阅章节: Abstract（完整）、1 Introduction（完整）、5 Discussion（完整，含 Conclusion）、Appendix 0.E Limitations（完整）

2025CameraCtrl: Enabling Camera Control for Text-to-Video GenerationICLR 2025（教师主页）

研究问题: 文本视频生成缺乏精确相机位姿控制。
核心方法: 用 Plücker embeddings 表示相机条件，并训练插拔式 pose control 模块，固定基础视频模型其余部分；比较训练视频分布。
实验结果: 作者报告多种视频模型的控制能力提升；相机轨迹多样且外观接近基础模型的数据效果更好。
实验条件与边界: 数据分布和基座依赖是论文明确研究对象。
课题组研究线: 将几何信息引入可控生成。
核阅章节: Abstract（完整）、HTML 中关于 Plücker 表示的方法说明段、Conclusion（搜索返回完整段）

2026Geometric Context Transformer for Streaming 3D ReconstructionECCV 2026（LingBot-Map；教师主页）

研究问题: 流式重建需同时控制几何误差、时序一致性与计算增长。
核心方法: GCT 整合 anchor context、pose-reference window 和 trajectory memory，分别处理坐标基准、局部几何和长程漂移。
实验结果: 摘要报告 518×378 输入约 20 FPS，并处理超过 10,000 帧序列；多个基准优于流式和迭代优化对照。
实验条件与边界: 帧率与长序列表现依赖实现硬件和测试轨迹。
课题组研究线: 把前馈几何模型推进到有状态长序列空间理解。
核阅章节: Abstract（完整摘要）

2026Causal World Modeling for Robot Control (LingBot-VA)RSS 2026；内容依据 arXiv v2

研究问题: 长时程机器人操控需要及时吸收真实反馈，并维持动作与环境变化的时序一致性。
核心方法: 将视频和动作 token 交织进同一个自回归 flow-matching 过程；双流 Mixture-of-Transformers 使用共享注意力、因果掩码与 KV cache。Noisy History Augmentation 支持部分去噪，异步流水将后续动作预测与当前动作执行重叠。
实验结果: 结论报告 RoboTwin 2.0 成功率 92.0%、LIBERO 98.5%；真实机器人困难任务在 50 条适配示范下相较 π0.5 提升超过 20%，具体口径仍依各实验任务。
实验条件与边界: 视频压缩与推理成本列为后续改进方向，触觉、力和音频反馈列为扩展方向；因果掩码控制时序依赖结构。
课题组研究线: 将视频生成中的连续动态表示转化为机器人反馈控制，提供世界模型走向具身操作的直接证据。
核阅章节: Abstract（完整）、1 Introduction（完整）、6 Conclusion（完整，含 Future Work）

2024–2026 论文目录（共 41 篇）

2026 年14 篇

2025 年12 篇

2024 年15 篇

实验室与成员

HKUST XU Lab

博士生: 6
RA、访问与其他: 8

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

3D 表示与基础模型；视频世界模型；具身 AI

在组成员14

成员	教育背景	研究方向与经历
Zelin GaoPhD, CSE Google Scholar · GitHub · X GitHub 关注 46 Stars 1	Jilin University BEng Zhejiang University MEng	三维视觉、图形学、生成模型与可交互世界模型
Yihang ChenPhD, CSE · 2026–	2022–2026 Zhejiang University BEng, Software Engineering 2026– HKUST PhD, CSE	Ant Group · Research Intern2025-09–2026-07
Jiahao ShaoPhD, CSE · 2026-09– 简历 · Google Scholar · X · GitHub GitHub 关注 90 Stars 396	2020–2024 Zhejiang University BEng, Automation 2026-09– HKUST PhD, Computer Science	多模态学习、生成建模与具身通用智能体 Ant Group · Research Intern，host Yujun Shen2024-04–2026-05 Robbyant · Research Intern，host Yinghao Xu2026-05–
Yishu ShenPhD, CSE Google Scholar · GitHub GitHub 关注 4 Stars 12	2025 秋季 HKUST Exchange, CSE 2026 Shanghai Jiao Tong University BEng, Industrial Design (Mechanical)	可规模化数据采集、灵巧操作与实体机器人系统 Ant Group · Research Intern
Jiaqi LiaoPhD, CSE X · GitHub GitHub 关注 7 Stars 21	—	VLM/WAM post-training、egocentric embodied video generation、long-video understanding、RL post-training Ant Group · Research Intern, VLM & WAM Post-training
Shuai YangPhD, CSE GitHub GitHub 关注 10 Stars 10	—	embodied AI、open-ended robot instruction following、3D world understanding、robot manipulation、VLM/VLA
Yiming LuoVisiting student Google Scholar · GitHub · LinkedIn GitHub 关注 67 Stars 25	University of Hong Kong	访问学生；来源机构为 University of Hong Kong
Jiacheng DongVisiting student GitHub GitHub 关注 20 Stars 207	2024–2028 expected Zhejiang University, ZJU-UIUC Institute；University of Illinois Urbana-Champaign BS, Electrical Engineering，双学位项目（在读）	视觉基础模型、具身基础模型 RobbyAnt · Research Intern2026-04–导师 Yinghao Xu。 Tsinghua University, AIR · Research Intern2026-01–2026-05导师 Yan Wang。访问学生；来源机构为 Zhejiang University
Shangzhan ZhangVisiting student GitHub GitHub 关注 80 Stars 2	2022 Zhejiang University BE, Electronic Science and Technology 2025 Zhejiang University MEng, Computer Science · 导师 Sida Peng；Xiaowei Zhou 2025– University of Oxford PhD（在读） · 导师 Christian Rupprecht	智能体、视觉语言模型、物理世界基础模型 Ant Research · Research Intern2023–20252023–2025 年导师 Nan Xue、Yujun Shen；2025 年另一段记录列导师 Yinghao Xu。 Adobe Research · Research Intern2025导师 Zifan Shi、Kalyan Sunkavalli。访问学生；来源机构为 University of Oxford
Yuzhuo AoVisiting student 简历 · GitHub GitHub 关注 5 Stars 0	HKUST	访问学生；来源机构为 HKUST
Linzhuo ChenResearch Intern	Nankai University Master · 导师 Ming-Ming Cheng Nanjing University PhD（在读） · 导师 Yao Yao	三维基础模型、三维重建 RobbyAnt · Research Intern导师 Yinghao Xu。
Yudong JinResearch Intern GitHub 关注 6,519 Stars 139,708	—
Jian GaoResearch Intern GitHub · Google Scholar GitHub 关注 58 Stars 4	2016-09–2020-06 Wuhan University BS, Remote Sensing 2020-09–2023-06 Wuhan University MS, Pattern Recognition 2024-09– Nanjing University PhD, Computer Science（在读） · 导师 Yao Yao；Tieniu Tan	真实感三维重建 RobbyAnt · Research Intern2025-09–导师 Yinghao Xu。
Shuaiting LiResearch Intern GitHub GitHub 关注 9 Stars 20	2023 Zhejiang University, College of Information Science and Electronic Engineering 本科 2023-09– Zhejiang University, College of Information Science and Electronic Engineering PhD（在读） · 导师 Haibin Shen	模型压缩、向量量化、边缘加速器、大模型量化感知训练、世界动作模型推理系统 VIVO Mobile Communication · Research Intern2024-03–2025-09 RobbyAnt · Research Intern导师 Yinghao Xu、Zifan Shi。

校友与去向16

成员

教育背景

研究方向与经历

Yuze He校友 · Research mentee

Google Scholar · GitHub

GitHub 关注: 0
Stars: 0

—

PhD, Tsinghua University

教师主页 Alumni 所列过往研究成员

Chuhao Chen校友 · Research mentee

GitHub

GitHub 关注: 47
Stars: 209

—

PhD, Carnegie Mellon University

教师主页 Alumni 所列过往研究成员

Mingrui Yu校友 · Research mentee

Google Scholar · GitHub · DBLP · ORCID

DBLP 近三年: 20
GitHub 关注: 168
Stars: 830

—

Postdoc, UC Berkeley

教师主页 Alumni 所列过往研究成员

Junke Wang校友 · Research mentee

GitHub

GitHub 关注: 157
Stars: 953

—

Research Scientist, ByteDance Seed

教师主页 Alumni 所列过往研究成员

Zifan Shi校友 · Research mentee

—

Research Scientist, Adobe

教师主页 Alumni 所列过往研究成员

Qihang Zhang校友 · Research mentee

Google Scholar · GitHub

GitHub 关注: 144
Stars: 411

—

Senior Research Scientist, Robbyant

教师主页 Alumni 所列过往研究成员

Ruizhi Shao校友 · Research mentee

简历 · Google Scholar · GitHub · X

GitHub 关注: 244
Stars: 1,143

—

Senior Research Scientist, Rhoda AI

教师主页 Alumni 所列过往研究成员

Tong Wu校友 · Research mentee

X · GitHub

GitHub 关注: 555
Stars: 1,361

—

Assistant Professor, Fudan University

教师主页 Alumni 所列过往研究成员

Xian Liu校友 · Research mentee

简历 · Google Scholar · GitHub · X · LinkedIn

GitHub 关注: 187
Stars: 983

—

Research Scientist, xAI

教师主页 Alumni 所列过往研究成员

Jianyuan Wang校友 · Research mentee

简历 · Google Scholar · X · GitHub

GitHub 关注: 784
Stars: 521

—

PhD, University of Oxford VGG

教师主页 Alumni 所列过往研究成员

Hao He校友 · Research mentee

Google Scholar · GitHub

GitHub 关注: 65
Stars: 750

—

PhD, CUHK MMLab

教师主页 Alumni 所列过往研究成员

Qingyan Bai校友 · Research mentee

—

PhD, HKUST

教师主页 Alumni 所列过往研究成员

Shengqu Cai校友 · Research mentee

简历 · Google Scholar · Semantic Scholar · GitHub · X · LinkedIn

GitHub 关注: 84
Stars: 773

—

PhD, Stanford University

教师主页 Alumni 所列过往研究成员

Zhengfei Kuang校友 · Research mentee

简历 · Google Scholar · GitHub · X

GitHub 关注: 59
Stars: 57

—

Research Scientist, NVIDIA

教师主页 Alumni 所列过往研究成员

Hansheng Chen校友 · Research mentee

—

PhD, Stanford University

教师主页 Alumni 所列过往研究成员

Yang Zheng校友 · Research mentee

简历 · Google Scholar · GitHub · X

GitHub 关注: 100
Stars: 577

—

PhD, Stanford University

教师主页 Alumni 所列过往研究成员

教育与履历

教育背景

Zhejiang University
BEng
2023
CUHK
PhD

任职经历

2024-01–2025-04
Stanford University
Postdoctoral Researcher
2025-06–2026-03
RobbyAnt
Staff Research Scientist; world-model and embodied-AI group lead
HKUST
Assistant Professor

学术服务

2026 年加入清水湾 CSE 的青年视觉教师，研究轨迹包含 Stanford 博士后与 RobbyAnt 世界模型研究。

指导方式与组内生活

个人主页强调自驱，以及以生成模型理解和操作物理世界。

研究方式

主页强调 self-motivated，并将 3D、生成模型和具身 AI 统一到物理世界表示与交互。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 13条

RobbyAnt（employment and research leadership）

RobbyAnt 任职与研发管理
Staff Research Scientist，带领世界模型和具身 AI 研究组；主页同时列研究实习入口

成员实习与产业经历

2023–2025
Shangzhan Zhang · Ant Research
Research Intern · 2023–2025 年导师 Nan Xue、Yujun Shen；2025 年另一段记录列导师 Yinghao Xu。
2024-04–2026-05
Jiahao Shao · Ant Group
Research Intern，host Yujun Shen；2026-09 入读 HKUST；Robbyant 实习跨入学时间，Ant Group 实习在此前；Research Intern，host Yujun Shen
2024-03–2025-09
Shuaiting Li · VIVO Mobile Communication
Research Intern
2025-09–2026-07
Yihang Chen · Ant Group
Research Intern；浙江大学本科阶段，早于 HKUST 博士入学；Research Intern
2025
Shangzhan Zhang · Adobe Research
Research Intern · 导师 Zifan Shi、Kalyan Sunkavalli。
2025-09–
Jian Gao · RobbyAnt
Research Intern · 导师 Yinghao Xu。
2026-05–
Jiahao Shao · Robbyant
Research Intern，host Yinghao Xu；2026-09 入读 HKUST；Robbyant 实习跨入学时间，Ant Group 实习在此前；Research Intern，host Yinghao Xu
2026-04–
Jiacheng Dong · RobbyAnt
Research Intern · 导师 Yinghao Xu。
2026-01–2026-05
Jiacheng Dong · Tsinghua University, AIR
Research Intern · 导师 Yan Wang。
Yishu Shen · Ant Group
Research Intern；个人主页在 2026 年入学前记录的实习；Research Intern
Jiaqi Liao · Ant Group
Research Intern, VLM & WAM Post-training；成员个人主页所列经历；Research Intern, VLM & WAM Post-training
Linzhuo Chen · RobbyAnt
Research Intern · 导师 Yinghao Xu。
Shuaiting Li · RobbyAnt
Research Intern · 导师 Yinghao Xu、Zifan Shi。

学术影响与网络关注

计算标准

院系样本分位

2024–2026 论文63P63

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 截至 2026-10-17（已核实的 2024 年论文分属 A5019024625 和 A5113395498；前一实体还含乳腺超声分割、鲁棒优化等同名论文。）

GitHub · justimyhxu个人账号

关注者: 533人
Stars: 2,040
公开仓库: 60

Binhang YUAN

袁彬航

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: Relaxed System Lab
博士毕业于: Rice University · 2020
研究主线: Data management systems for machine learning；Distributed machine learning systems；Heterogeneous and decentralized foundation-model systems；RL post-training and agentic data platforms

累计引用: 729次
h-index: 15
2024–2026 论文: 71篇
在组成员: 15人

研究方向

Data management systems for machine learning
Distributed machine learning systems
Heterogeneous and decentralized foundation-model systems
为大型基础模型设计分布式、异构、去中心化的训练和推理系统。
RL post-training and agentic data platforms
2026 公开讲座由 AReaL 2.0 延伸到 agentic data platform；近期论文包含 KV-cache 与 agent workflows。

研究主线为 data management for ML、distributed/decentralized ML。2024 HexGen 聚焦异构跨数据中心推理；2025 HexGen-2 做 prefill/decode 分离、AReaL 做异步 RL；2026 主页继续列异构扩展、agent kernel optimization、数据流水线和可验证向量搜索。

持续演进的系统家族与开放框架

HexGen→HexGen-2 与 AReaL 的可读原文给出调度机制及端到端实验，2026 书目继续其异构与分离式路线。

代表论文与近期发表

2024HexGen: Generative Inference of Large Language Model over Heterogeneous EnvironmentICML

研究问题: 异构 GPU 与跨数据中心网络下如何降低 LLM serving 成本。
核心方法: 支持非对称 tensor/pipeline 切分，通过约束优化调度分配推理计算。
实验结果: Llama-2 70B 实验中，同预算可实现最高 2.3 倍更低延迟门槛或承受最高 4 倍请求率。
实验条件与边界: 收益依赖硬件、网络和价格预算；非任意部署的固定加速倍数。
课题组研究线: 建立之后 HexGen 系列的异构调度边界。
核阅章节: Abstract、Introduction（开头）、§7 Conclusion

2025HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous EnvironmentICLR

研究问题: prefill/decode 分离后异构设备分配与 KV 传输共同决定成本。
核心方法: 图划分与 max-flow 联合选择设备组、阶段、并行策略及通信。
实验结果: OPT 30B 与 Llama-2 70B 实验中同预算吞吐最高 2 倍、平均 1.3 倍；相同性能预算可低 30%。
实验条件与边界: model-placement 问题 NP-hard；所用搜索与性能模型在实验配置中验证。
课题组研究线: 在 HexGen 上加入分离式推理与跨阶段通信优化。
核阅章节: Abstract、Introduction（开头）、§3.1

2025AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language ReasoningNeurIPS

研究问题: 同步 RL 的长 rollout 拖慢整批训练，造成 GPU 空闲。
核心方法: 解耦生成与训练，通过 workload balancing 与 staleness-aware PPO 控制陈旧数据。
实验结果: 数学与代码推理实验同 GPU 数下最高 2.77 倍训练加速，最终性能相当或改善。
实验条件与边界: 训练稳定性依赖 staleness 控制；结果来自文中的任务、模型和资源配置。
课题组研究线: 把资源异构及并发调度推进到 RL 训练流水线。
核阅章节: Abstract、Introduction（开头）、Conclusion

2024–2026 论文目录（共 71 篇）

2026 年32 篇

2025 年23 篇

2024 年16 篇

实验室与成员

Relaxed System Lab

博士生: 15

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Data management systems for machine learning；Distributed machine learning systems；Heterogeneous and decentralized foundation-model systems；RL post-training and agentic data platforms

在组成员15

成员	教育背景	研究方向与经历
Ran YanPhD · 2023 Fall–CSE Google Scholar · GitHub · LinkedIn GitHub 关注 11 Stars 0	Peking University BSc
Fangyu DingPhD · 2024 Fall–CSE GitHub · LinkedIn GitHub 关注 21 Stars 2	2017–2021 SJTU BEng, Computer Science 2021–2024 SJTU MEng, Computer Science	probabilistic methods、diffusion language models
Guangxin HePhD · 2024 Fall–CSE GitHub GitHub 关注 1 Stars 0	University of Chinese Academy of Sciences Bachelor ICT, Chinese Academy of Sciences Master	LLM systems、augmented generation
Zipeng QiuPhD · 2024 Fall–CSE	Fudan University BSc
You PengPhD · 2024 Fall–CSE Google Scholar · LinkedIn · GitHub GitHub 关注 1 Stars 0	2019–2024 University of Toronto BSc, Data Science and Statistics	database-related LLM agents、ML systems Apache IoTDB · Database Assistant Intern（本科期间）2020-07–2021-07 Fidelity Investments Canada · Machine Learning Analytics（本科期间）2022-05–2023-04
Chenyue LiPhD · 2024 Fall–CSE	2019–2024 University of Toronto Honours BSc, Computer Science	AI for Science、database/distributed systems Huawei Canada · Assistant Engineer, R&D Co-op（本科期间）2022-05–2023-09 Voithos Labs · Software Engineer, part-time（本科期间）2023-09–2024-04
Yukun ZhouPhD · 2024 Fall–CSE GitHub GitHub 关注 24 Stars 4	Nanjing University BSc Tsinghua University MSc	与 Wei Wang co-supervised
Ding PanPhD · 2025 Spring–CSE	Shanghai Jiao Tong University BSc Peking University MSc
Xu XuPhD · 2025 Fall–CSE	Harbin Institute of Technology BSc Peking University MSc
Jiayi ChengPhD · 2025 Fall–CSE	Cornell University BSc Cornell University MSc
Xiaochen MaPhD · 2026 Spring–CSE	Sichuan University BSc
Daifeng LiPhD · 2026 Fall–CSE	USTC BSc
Wenshuang LiPhD · 2026 Fall–CSE	Tsinghua University BSc
Ximin LiPhDIIP	—	；Individualized Interdisciplinary Program
Yaofu LiuPhDAMC · 艺术与机器创造力	—	共同指导；

即将加入2

成员	教育背景	研究方向与经历
Jiarui Zhang即将加入 · Incoming PhD · 2027 Fall–	Tsinghua University BSc
Ka Chun Mok即将加入 · Incoming PhD · 2027 Fall–	HKUST BSc

校友与去向4

成员	教育背景	研究方向与经历
Youhe Jiang校友 · RA · 2026 GitHub · LinkedIn · Google Scholar GitHub 关注 86 Stars 61	—	PhD, University of Cambridge
Tianyi Bai校友 · PhD · 2026CSE 简历 · Google Scholar · GitHub GitHub 关注 54 Stars 95	2026 HKUST PhD	Tech lead, Tencent（首次任职）
Hyeonjae Kim校友 · MPhil · 2026CSE	—
Jiashu Wang校友 · MPhil · 2026CSE	—

教育与履历

教育背景

Fudan University
Bachelor, Computer Science
Rice University
Master, Computer Science
导师 Ron Goldman
2020
Rice University
PhD, Computer Science
导师 Chris Jermaine；Anastasios Kyrillidis

任职经历

HKUST CSE
Assistant Professor
ETH Zurich
Postdoctoral researcher

学术服务

分布式机器学习与数据管理系统研究者，参与维护开放系统。

ETH postdoc 导师 Ce Zhang；AReaL 开源社区 co-founder。

指导方式与组内生活

开源研究合作

参与 AReaL 的研究者可通过邮件提交具体贡献计划。

学生公开评价学生记录

Ran Yan 在个人主页将 Binhang Yuan 的指导描述为 rigorous and energetic，并表示这种指导对其研究很有价值。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 4条

学校项目记录列有企业资助的研究项目。

MetaX Integrated Circuits (Shanghai) Co, Ltd. 资助研究项目
参与项目 HKUST-MetaX Joint Laboratory for Advanced AI Computing（2024 -）

成员实习与产业经历

2020-07–2021-07
You Peng · Apache IoTDB
Database Assistant Intern（本科期间）
2022-05–2023-04
You Peng · Fidelity Investments Canada
Machine Learning Analytics（本科期间）
2022-05–2023-09
Chenyue Li · Huawei Canada
Assistant Engineer, R&D Co-op（本科期间）
2023-09–2024-04
Chenyue Li · Voithos Labs
Software Engineer, part-time（本科期间）

学术影响与网络关注

计算标准

院系样本分位

累计引用20P20

h-index24P24

2024–2026 论文77P77

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 135 篇 · i10-index 23 · 截至 2026-10-17

GitHub · BinhangYuan个人账号

关注者: 153人
Stars: 46
公开仓库: 11

GitHub · Relaxed-System-Lab实验室组织账号

关注者: 61人
Stars: 808
公开仓库: 23

Zihan ZHANG

張子函

Assistant Professor

个人主页 · 学校档案 · 档案

实验室: Zihan Zhang 研究组
博士毕业于: Tsinghua University · 2022
研究主线: 强化学习理论；在线学习与博弈；凸优化

累计引用: —次
h-index: —
2024–2026 论文: 6篇
在组成员: —人

研究方向

强化学习理论
有限时域、平均回报、无时域依赖与 model-free RL 的 regret 和样本复杂度。
在线学习与博弈
Bandit、batch regret、多分布学习、game theory。
凸优化
通过步长序列研究梯度下降的 anytime acceleration。

2019—2023 的论文集中在 RL regret、horizon 与 reference-advantage 方法；2024 扩展到多分布学习，2025 研究梯度下降的 anytime acceleration。变化围绕有限样本效率与最优性证明展开，公开论文支持理论方法的连续积累。 2026 的 Frozen Policy Iteration 回到线性 Q^π 可实现条件下的在线 RL，将计算效率、数据重复访问约束与统计遗憾界放入同一问题。

数学问题驱动、界与算法共同推进

代表作针对明确开放问题，构造算法并给出上界、下界或随机化必要性。

代表论文与近期发表

2024Settling the Sample Complexity of Online Reinforcement LearningCOLT 2024；主页称扩展版 JACM 接收

研究问题: 已有最优 RL regret 需要大样本 burn-in，有限样本阶段存在缺口。
核心方法: 修改 model-based Monotonic Value Propagation，引入 regret 分解并处理统计依赖。
实验结果: 有限时域非齐次 MDP 达到去对数因子 min{√(SAH³K), HK}，覆盖全部 K≥1；PAC 复杂度为 SAH³/ε² 量级。
实验条件与边界: 结论依赖 tabular、finite-horizon 等模型假设。
课题组研究线: 延续 RL 最优样本效率主线。
核阅章节: Abstract（完整摘要）

2024Optimal Multi-Distribution LearningCOLT 2024；主页称扩展版 JACM 接收

研究问题: 在 k 个分布上学习共享模型，目标为控制最坏风险并降低样本量。
核心方法: 采用自适应采样和 ERM oracle，输出随机化假设，并扩展到 Rademacher classes。将学习器与最坏分布混合的选择写成博弈，通过 ERM oracle 和自适应采样构造算法，分析中控制 Hedge 在凸凹问题中的迭代轨迹。
实验结果: VC 维度 d 情形达到去对数因子的 (d+k)/ε²，与已知下界匹配；论文还给出随机化必要性。
实验条件与边界: 主结论允许从任意一个分布按需抽样，并输出随机化假设；受约束抽样尚待研究。最优性仍保留对数因子。输出必须为原假设类中的确定性假设时，作者给出 Ω(dk/ε²) 的下界，因此随机化条件会改变可实现的样本效率。
课题组研究线: 与在线强化学习的样本复杂度研究共享自适应采样、最优性上界和下界分析。MDL 将问题扩展到多群体鲁棒学习；论文直接解决 COLT 2023 提出的三个开放问题。
核阅章节: Abstract（完整摘要）、1 Introduction（完整，含问题设定、主定理、并行工作与记号）、9 Discussion（完整总结与开放问题；原文无单列 Conclusion）

2025Anytime Acceleration of Gradient DescentCOLT 2025

研究问题: 固定未知停止时刻下，单靠步长安排能否超越 O(1/T)。
核心方法: 预先指定与停止时刻无关的步长序列，为光滑凸和强凸优化分别分析。
实验结果: arXiv v2 摘要给出光滑凸 O(T^-1.119)，强凸 exp(-Ω(T/κ^0.893))；v2 明示改进旧版 1.03 指数。
实验条件与边界: 主页仍展示旧版 1.03；本文采用已读取的 v2。结论限于论文光滑性与凸性条件。
课题组研究线: 从统计效率扩展到优化效率，仍以可证明算法性质为中心。
核阅章节: Abstract（完整摘要）

2026Frozen Policy Iteration: Computationally Efficient RL under Linear Q^π Realizability for Deterministic DynamicsICLR 2026

研究问题: 在线强化学习在线性 Q^π 可实现条件下，如何同时实现统计和计算效率，并避开重复访问状态的模拟器要求。
核心方法: 只保留高置信轨迹数据，对已充分探索状态冻结策略，使可用数据在学习过程中保持有效同策略。条件允许初始状态和奖励随机，转移确定；进一步扩展到 Uniform-PAC 和有界 eluder dimension 函数类。
实验结果: 作者证明遗憾上界 Õ(√(d²H⁶T))，其中 d 为特征维度、H 为时域、T 为总回合数。H=1 时匹配线性 contextual bandit 的最优量级；另给控制任务概念验证。
实验条件与边界: H 的较高多项式依赖仍待改善。理论关键依赖确定性转移，随机转移下单条轨迹无法保证所有后继均处于高置信区；该扩展在结尾明确列为开放问题。
课题组研究线: 延续样本复杂度和 RL 可实现性理论，进一步处理计算与统计效率之间的差距。原文首页明确列 HKUST CSE 和 zihanz@cse.ust.hk，完成同名消歧。
核阅章节: Abstract（完整）、1 Introduction（完整）、7 Discussions and Open Problems（完整末节；原文无单列 Conclusion）

2024–2026 论文目录（共 6 篇）

2025 年4 篇

2024 年2 篇

实验室与成员

Zihan Zhang 研究组

所在单位: HKUST CSE
地点: Clear Water Bay, Hong Kong

强化学习理论；在线学习与博弈；凸优化

教育与履历

教育背景

2017
Tsinghua University
BS, Automation
2022
Tsinghua University
PhD, Control Science and Engineering
导师 Xiangyang Ji

任职经历

2023–2024；Yuxin Chen、Jason D. Lee
Princeton University
Postdoctoral Researcher
2024–2025；Simon S. Du
University of Washington
Postdoctoral Researcher
2025–
HKUST
Assistant Professor

学术服务

学术定位主要来自明确的理论问题和匹配下界结果；主页没有可核验 Fellow 或个人大奖声明。

学术影响与网络关注

计算标准

院系样本分位

2024–2026 论文23P23

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 截至 2026-10-17（其官方 ORCID 对应 5 篇论文分片；2020 年两篇已核实论文分别归入 A5027826347 与 A5100410548，同名实体的机构和研究方向混合。）

GitHub · ZsubfuncZ个人账号

关注者: 0人
Stars: 0
公开仓库: 2

Mingxun ZHOU

周銘洵

Assistant Professor

个人主页 · 学校档案 · 档案

博士毕业于: Carnegie Mellon University · 2025
研究主线: Applied cryptography；Differential privacy；Security and privacy in machine learning；Secure/private data access and processing；AI governance；Blockchain and information retrieval

累计引用: 200次
h-index: 6
2024–2026 论文: 15篇
在组成员: 2人

研究方向

Applied cryptography
Differential privacy
Security and privacy in machine learning
Secure/private data access and processing
PIR、private ANN、secure join 与 server-client computation。
AI governance
AI content provenance、black-box service auditing。
Blockchain and information retrieval
系官方传记列明的相关领域；近期内容样本主要覆盖检索。

较早论文覆盖近似数据结构、blockchain 与 differential privacy；2023–2026 private retrieval 从 Piano 延伸到 Pacmann 与 secure data analytics。当前网页加入 AI content provenance、AI service auditing；KBF 用威胁模型、统计校准和系统实验处理模型身份可验证性。

威胁模型、算法保证与实际系统成本共同设计

Piano 与 Pacmann 连接密码原语到检索延迟；Bifrost 直接简化协议；KBF 明确区分统计不一致与身份原因。

代表论文与近期发表

2024Piano: Extremely Simple, Single-Server PIR with Sublinear Server ComputationIEEE S&P；已读公开 ePrint 稿

研究问题: 单服务器 PIR 的 online server computation 常随数据库线性增长。
核心方法: 预处理 PIR 只依赖 PRF，使用约平方根级 client hint、online computation 和通信。
实验结果: 论文报告相对既有方法 40–900 倍计算加速；100 GB 数据库示例在 60 ms RTT 下总访问约 73 ms。
实验条件与边界: 预处理成本、客户端 hint 状态与刷新属于协议资源预算；公开 ePrint 含会后修订。
课题组研究线: 建立 practical private retrieval 主线。
核阅章节: Abstract（公共全文抽取）、Introduction（开头）、§7 Conclusion

2025Pacmann: Efficient Private Approximate Nearest Neighbor SearchICLR

研究问题: 私有向量 ANN 搜索的成本与质量限制大规模检索应用。
核心方法: 客户端图搜索通过 Piano 私有获取 subgraph，结合近邻索引与 PIR。
实验结果: 最高 2.5 倍于私有基线的检索准确度，约达非私有 baseline 的 90%；在 1 亿向量下计算成本降 62%、时延降 22%。
实验条件与边界: 离线阶段客户端需流式读取索引；动态更新尚未支持；公开数据库设置下只保护查询，服务器数据隐私另行处理。
课题组研究线: 把 Piano 密码协议转为向量检索系统。
核阅章节: Abstract（公共全文抽取）、Introduction（开头）、Conclusion/limitations

2026Bifrost: A Much Simpler Secure Two-Party Data Join Protocol for Secure Data AnalyticsPVLDB

研究问题: 安全 join 的 dummy rows 或移除冗余步骤增加后续分析成本。
核心方法: 组合 ECDH-PSI 与 oblivious shuffle，dual mapping 将两轮 shuffle 减为一轮，输出无冗余的 secret shares。
实验结果: 至 100 GB 数据中，相对 iPrivJoin 加速 2.54–22.32 倍、通信减少 84.15%–88.97%；后续 secure analytics 最高加速 2.80 倍。
实验条件与边界: 安全模型为一方被动腐化的 semi-honest PPT adversary；结果依协议假设及表规模。
课题组研究线: 继续以更简单密码构件降低实际安全数据处理成本。
核阅章节: Abstract、Introduction（开头）、§3 Security Model

2026KBF: Knowledge Boundary as Fingerprint for Language Model and Black-Box API AuditingarXiv；已读 2026-09-30 v3

研究问题: 黑盒 relay/reseller API 的模型身份与声明难以直接核对。
核心方法: 以知识边界附近稳定的事实回答及重复错误构造 fingerprint，使用良性可更新 probes 并按 reference self-variation 校准。
实验结果: 16 production endpoints 的 155 个替换测试均检出，16 same-reference controls 无拒绝；实际审计 28 endpoints 中 7 个与参照统计不一致。
实验条件与边界: 统计标记说明 reference distribution 不一致，具体原因需独立证据；时间漂移、低精度回答与噪声 probe 会影响判定。
课题组研究线: 把 threat modeling 和可复验系统评估推进到 AI 服务审计。
核阅章节: Abstract、Introduction（开头）、§6 Conclusion、附录鲁棒性汇总（节选）

2024–2026 论文目录（共 15 篇）

2026 年8 篇

2025 年3 篇

2024 年4 篇

实验室与成员

博士生: 2

所在单位: HKUST Department of Computer Science and Engineering
地点: Clear Water Bay, Hong Kong

Applied cryptography；Differential privacy；Security and privacy in machine learning；Secure/private data access and processing；AI governance；Blockchain and information retrieval

在组成员2

成员	教育背景	研究方向与经历
Yijia FangPhD · 2026–CSE	2026– HKUST PhD
Yue ZhangPhD · 2026–CSE	2026– HKUST PhD

教育与履历

教育背景

2020
Peking University
BSc, Computer Science
2025
Carnegie Mellon University
PhD, Computer Science
导师 Giulia Fanti；Elaine Shi

任职经历

HKUST CSE
Assistant Professor

学术服务

2025 年 CMU 博士，面向实际系统的应用密码与隐私计算青年研究者。

指导方式与组内生活

首次研究交流

希望申请者描述自己的特长，并提出个人独立的想法或问题。

访问与组内实习

公开欢迎相关方向的 research interns。

学术影响与网络关注

计算标准

院系样本分位

累计引用8P8

h-index7P7

2024–2026 论文35P35

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 12 篇 · i10-index 5 · 截至 2026-10-17

GitHub · wuwuz个人账号

关注者: 52人
Stars: 163
公开仓库: 44

Tim Kwang-Ting CHENG

鄭光廷

Chair Professor · 合聘与跨系教师

个人主页 · 学校档案 · 档案

实验室: Vision and System Design Lab (VSDL)
博士毕业于: University of California, Berkeley · 1988
研究主线: 高效模型、量化与端侧生成；软硬件协同与存算一体；医学视觉与强化学习

累计引用: 24,514次
h-index: 72
2024–2026 论文: 91篇
在组成员: 17人

研究方向

高效模型、量化与端侧生成
低比特权重及激活量化、参数高效微调、紧凑扩散模型和设备端生成。
软硬件协同与存算一体
ReRAM-on-Logic LLM accelerator、学习型芯片、渲染处理器、CIM 架构与电子设计自动化。
医学视觉与强化学习
医学图像分割、异常检测、域泛化；近期合作延伸至多奖励 RL 的优化机制。

2024 的 RoLoRA 从离群值与旋转切入量化鲁棒性，2025 SnapGen 将紧凑架构、蒸馏和真机部署联结，2026 GDPO 回到多奖励 RL 的归一化问题。同期 ISSCC/JSSC/CICC 工作继续推进芯片与软件协同，构成从训练目标、模型到硬件的多层研究组合。

代表论文与近期发表

2024RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation QuantizationFindings of EMNLP 2024

研究问题: LoRA 配合权重与激活同时量化时，激活离群值导致明显精度损失。
核心方法: 先应用块内、块间旋转，再用 rotation-aware fine-tuning 保持低离群值分布；比较量化器、位宽和 LLaMA 模型。
实验结果: 作者报告 W4A4/W6A6 的量化鲁棒性提升；LLaMA2-13B 常识推理最高提升 29.5 个准确率百分点，并扩展到 LLaVA。
实验条件与边界: 数字为所测试模型与任务上的最高差值；论文所列训练硬件为 H800，跨硬件实际加速另需测量。
课题组研究线: 体现模型压缩与微调机制的结合。
核阅章节: Abstract、Introduction、Conclusion、Limitation

2025SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and TrainingCVPR 2025

研究问题: 高分辨率文生图模型的体积、延迟与生成质量限制手机端使用。
核心方法: 联合设计紧凑 UNet 与 decoder，从头训练并采用跨架构多层知识蒸馏、flow matching 和 adversarial step distillation。
实验结果: 379M 参数 T2I 模型在所报指标上超过部分十亿参数模型；论文展示 iPhone 16 Pro Max 上 1024² 图像约 1.4 秒生成。
实验条件与边界: 约 1.4 秒对应文中的指定设备与演示设置；跨设备端到端成本及所有输入质量未由该数字覆盖。
课题组研究线: 提供算法到端侧产品执行路径的代表案例。
核阅章节: Abstract、Introduction、Conclusion

2026GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL OptimizationICML 2026（VSDL 列录）

研究问题: 多奖励直接相加再做 GRPO 组归一化，会将不同奖励组合折叠为相同 advantage。
核心方法: 分别对每项 reward 做组内归一化，再做 batch-wise advantage normalization；同时考察奖励权重和难度差异。
实验结果: 在工具调用、数学推理与代码推理的正确性、格式和长度等目标上，作者报告较 GRPO 更好的收敛与任务表现。
实验条件与边界: 结论覆盖论文测试的奖励设计、模型与任务；不能由此推出所有偏好对齐问题均已解决。
课题组研究线: 显示团队近期从效率研究延伸到 RL 训练信号机制。
核阅章节: Abstract、Introduction、Conclusion

2024–2026 论文目录（共 91 篇）

2026 年27 篇

2025 年26 篇

2024 年38 篇

实验室与成员

Vision and System Design Lab (VSDL)

博士生: 13
博士后: 2
RA、访问与其他: 2

所在单位: HKUST CSE、ECE 与 ACCESS
地点: HKUST / ACCESS

计算机视觉；医学图像分析；电子设计自动化；AI 芯片

研究人员

研究助理教授、博士后与博士生共同开展算法和硬件研究

共同指导

成员页列有 Chi-Ying Tsui、Hao Chen 和 Fengbin Tu 参与博士指导

在组成员17

成员	教育背景	研究方向与经历
Maolin WangResearch Assistant Professor · 2023–	2015 Tsinghua University BEng 2020 University of Hong Kong PhD	机器学习计算架构
Chen YangPostdoctoral Fellow · 2025–	2019 Huazhong University of Science and Technology BEng 2024 City University of Hong Kong PhD	隐私保护医学图像分析与多模态学习
Lin LiResearch Assistant Professor · 2024–	2024 Zhejiang University PhD	多模态大模型、开放世界感知与场景理解 Tim Cheng
Songchen MaPostdoctoral Fellow · 2024–	2019 Jilin University BEng 2024 Tsinghua University PhD	类脑计算架构、AI 芯片与智能系统
Pingcheng DongPhD Student · 2022–ECE	Southern University of Science and Technology BEng in Microelectronic Science and Engineering The Hong Kong University of Science and Technology PhD（在读）	硬件感知模型压缩、AI 芯片与 3D 视觉加速器 Tim Cheng
Xixi JiangPhD Student · 2023–ECE	2019 Huazhong University of Science and Technology Bachelor's degree 2022 Huazhong University of Science and Technology Master's degree The Hong Kong University of Science and Technology PhD（在读）	计算机视觉与医学图像分析 Tim Cheng
Yongkun WuPhD Student · 2022–ECE	Nanjing University Bachelor's degree The Hong Kong University of Science and Technology PhD（在读）	AI 芯片系统、存内计算、软硬件协同设计 Tim Cheng; Chi-Ying Tsui; Fengbin Tu
Yonghao TanPhD Student · 2023–ECE	2023 Southern University of Science and Technology BEng in Microelectronic Science and Engineering The Hong Kong University of Science and Technology PhD（在读）	AI 芯片软硬件协同设计、计算机视觉和 3D 处理 Tim Cheng
Fengshi TianPhD Student · 2021–ECE	2021 Fudan University BEng in Microelectronics Science and Engineering The Hong Kong University of Science and Technology PhD（在读）	神经形态计算、专用架构和存内计算 Tim Cheng; Chi-Ying Tsui
Kunming ShaoPhD Student · 2023–ECE	2023 South China University of Technology BEng in Microelectronics The Hong Kong University of Science and Technology PhD（在读）	AI 加速器、存内计算和计算机体系结构 Chi-Ying Tsui; Tim Cheng 共同指导
Xihao GuanPhD Student · 2022–ECE	North University of China Bachelor's degree HKUST Master's in Integrated Circuit Design Engineering The Hong Kong University of Science and Technology PhD（在读）	存内计算、忆阻器与 AI 硬件加速器 Chi-Ying Tsui; Tim Cheng 共同指导
Yu CaiPhD Student · 2022–ECE	2022 Huazhong University of Science and Technology BEng in Electronic and Information Engineering The Hong Kong University of Science and Technology PhD（在读）	医学图像分析与计算机视觉 Tim Cheng; Hao Chen
Weiwen ZhangPhD Student · 2023–CSE	HKUST Bachelor's in Data Science and Technology University of Hong Kong Master's in Computer Science and Engineering The Hong Kong University of Science and Technology PhD（在读）	深度学习、医学图像分析与计算病理 Tim Cheng; Hao Chen
Shucheng DuPhD Student · 2025–ECE	2024 Beijing Institute of Technology Bachelor's in Engineering The Hong Kong University of Science and Technology PhD（在读）	边缘 AI 推理芯片、算法、软件栈与硬件协同设计 AI Chip Center for Emerging Smart Systems (ACCESS) · Research Intern2024 年本科毕业后、2025 年博士入组前 Tim Cheng
Yangyi ZhangPhD Student · 2025–ECE	2022 Southern University of Science and Technology BEng in Microelectronic Science and Engineering The Hong Kong University of Science and Technology PhD（在读） 2025 Southern University of Science and Technology MEng in Electronic Science and Technology	AI 芯片与神经网络的软硬件协同设计 Tim Cheng
Jonghyeon JuPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）
Yuzhang WangPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）

校友与去向23

成员	教育背景	研究方向与经历
Shih-Yang (Sean) Liu校友 · PhD Student · 2022 - 2026CSE	2026 The Hong Kong University of Science and Technology PhD
Dong Zhang校友 · Postdoc and RAP · 2022 - 2025	—
Xijie Huang校友 · PhD Student · 2020 - 2025CSE	2025 The Hong Kong University of Science and Technology PhD
Jingyu He校友 · PhD Student · 2020 - 2025ECE	2025 The Hong Kong University of Science and Technology PhD	共同指导
Shuhan Li校友 · PhD Student · 2019 - 2025CSE	2025 The Hong Kong University of Science and Technology PhD
Yi Lin校友 · PhD Student · 2022 - 2024CSE	2024 The Hong Kong University of Science and Technology PhD	共同指导
Benteng Ma校友 · Postdoctoral Researcher · 2022 - 2024	—
Jeffry Wicaksana校友 · PhD Student · 2019 - 2024ECE	2024 The Hong Kong University of Science and Technology PhD
Huimin Wu校友 · PhD Student · 2019 - 2024CSE	2024 The Hong Kong University of Science and Technology PhD
Weihang Dai校友 · PhD Student · 2019 - 2023CSE	2023 The Hong Kong University of Science and Technology PhD
Xiaofeng Hou校友 · Postdoctoral Researcher · 2021 - 2023	—
Fengbin Tu校友 · Postdoctoral Researcher · 2022 - 2023	—
Shichao Li校友 · PhD Student · 2016 - 2022	—
Zechun Liu校友 · PhD Student · 2016 - 2021	—
Yuyang Wang校友 · PhD Student · 2015 - 2021	—
Zengqiang Yan校友 · PhD and Postdoc · 2016 - 2020	—
Guang Chen校友 · MPhil Student · 2017 - 2020	—
Zhiwei Wang校友 · Postdoctoral Researcher · 2019 - 2020	—
Chong Huang校友 · PhD Student · 2014 - 2020	—
Leilai Shao校友 · PhD Student · 2015 - 2020	—
Hui Pan校友 · MPhil Student · 2016 - 2019	—
Nicole Fern校友 · PhD and Visiting · 2011 - 2018	—
Miguel Lastras校友 · PhD and Visiting · 2010 - 2017	—

教育与履历

教育背景

1983
National Taiwan University
BS in Electrical Engineering
1988
University of California, Berkeley
PhD in Electrical Engineering and Computer Sciences
导师 Ernest S. Kuh

任职经历

1988–1993
AT&T Bell Laboratories
Researcher
1993–2016
University of California, Santa Barbara
Professor
1999–2002
UCSB
Founding Director, Computer Engineering Program
2005–2008
UCSB
ECE Department Chair
2014–2016
UCSB
Associate Vice-Chancellor for Research
2016-05–2022-03
The Hong Kong University of Science and Technology
Dean of Engineering / Chair Professor
2022-04-01–
The Hong Kong University of Science and Technology
Vice-President for Research and Development

学术服务

VLSI 测试、设计验证与软硬件协同领域的资深研究者，兼任香港校区副校长（研究及发展）。其行政职务与实际学生指导安排分开判断。

指导方式与组内生活

实验室公开强调协作、多样性与平等对待。

团队文化

团队自述重视成员之间的协作，平等对待每一位成员，并尊重背景差异。

跨方向共同指导

博士成员页列出 Tim Cheng 与 Chi-Ying Tsui、Hao Chen、Fengbin Tu 的共同指导安排。

业界合作与实习

合作机构: 2家
合作记录: 2条
成员产业经历: 2条

AT&T Bell Laboratories（任职）；WeBank（联合实验室）

AT&T Bell Laboratories 任职
1988–1993 年的研究任职。
WeBank 联合实验室
HKUST–WeBank Joint Lab 主任。

成员实习与产业经历

2024 年本科毕业后、2025 年博士入组前
Shucheng Du · AI Chip Center for Emerging Smart Systems (ACCESS)
Research Intern
2025 年入读博士前
Shucheng Du · ACCESS
成员自述本科毕业后在 ACCESS 实习。

学术影响与网络关注

计算标准

院系样本分位

累计引用91P91

h-index92P92

2024–2026 论文83P83

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 1,003 篇 · i10-index 441 · 截至 2026-10-17

Lionel M. NI

倪明選

Chair Professor · 合聘与跨系教师

个人主页 · 实验室网站 · 档案

博士毕业于: Purdue University · 1980
研究主线: 计算系统与普适计算的长期积累；近期视觉生成合作；金融 AI 与评测合作

累计引用: 35,796次
h-index: 86
2024–2026 论文: 17篇
在组成员: —人

研究方向

计算系统与普适计算的长期积累
CSE 官方列 computer architecture、distributed systems、wireless communication、pervasive computing 等历史主线。
近期视觉生成合作
2025–2026 合作论文包括自回归视频生成、分层图像分解与一致编辑。这些署名证明参与合作，个人具体承担部分需另证。
金融 AI 与评测合作
QuantBench 以统一数据、模型与回测流水线审视 AI quantitative investment 的可复现性、分布漂移及过拟合。

官方研究兴趣保留并行与分布式系统、网络和普适计算积累；近两年共同署名延伸到生成视觉模型、图像编辑与金融 AI 基准。现有材料支持合作研究版图扩展，尚不能重建一个香港独立组在 2024–2026 的统一课题计划。

代表论文与近期发表

2025Taming Teacher Forcing for Masked Autoregressive Video GenerationarXiv preprint

研究问题: masked 历史帧训练与完整历史帧推理存在差异，影响逐帧自回归视频的运动连贯性。
核心方法: MAGI 结合帧内 masked modeling 与帧间 causal modeling；Complete Teacher Forcing 使用完整历史观察，并增加缓解 exposure bias 的训练策略。
实验结果: 作者报告 CTF 相对 MTF 的首帧条件视频预测 FVD 改善 23%；用 16 帧训练可生成超过 100 帧序列。
课题组研究线: 代表近期视频生成合作，保留共同署名范围。
核阅章节: Abstract、Introduction 片段、Conclusion

2025QuantBench: Benchmarking AI Methods for Quantitative InvestmentarXiv preprint

研究问题: 金融 AI 论文的测试数据和流水线分散，影响跨方法比较及行业应用。
核心方法: 构建统一数据、模型与回测平台，包含信号、组合和任务无关指标，比较不同模型、持续学习与 ensemble。
实验结果: 实验揭示分布漂移导致退化、关系数据建模仍有空间、低信噪比过拟合明显，ensemble 可改善所测稳定性。
实验条件与边界: 作者明确提出扩展另类数据与订单流、增加新模型、改善回测真实性和效率；结果是研究基准，未证明真实交易收益。
课题组研究线: 展示与产业研究者共同建设评测平台的工作。
核阅章节: Abstract、Introduction 片段、Appendix A: Limitations and Future Work

2026Qwen-Image-Layered: Towards Inherent Editability via Layer DecompositionCVPR 2026；预印本 2025-12

研究问题: 单层 RGB 表征让编辑传播到未编辑内容，造成语义漂移与几何不一致。
核心方法: 提出 RGBA-VAE、可变层数 VLD-MMDiT 与多阶段训练，从 PSD 提取多层监督，将图像分解成语义独立的 RGBA 层。
实验结果: 作者报告分层质量超过比较方法；完成分解后可独立操作目标层，代码与模型公开。
实验条件与边界: 其他图层保持不变是分层后操作的结构性质；分解正确性、遮挡补全与具体生成质量仍取决于模型。Ni 的个人贡献未由署名自动推断。
课题组研究线: 代表近期可控视觉生成合作，正式 venue 已由 CVF 核验。
核阅章节: Abstract、Introduction（arXiv 2512.15603）、Conclusion（arXiv 2512.15603）

2024–2026 论文目录（共 17 篇）

2026 年2 篇

2025 年9 篇

2024 年6 篇

实验室与成员

所在单位: HKUST CSE 历史团队；现任 HKUST (Guangzhou) Founding President

并行与分布式计算；无线传感与普适计算；大数据与智能系统

历届博士生

公开履历按 Michigan State、HKUST 与其他大学共同指导分别列出博士毕业生

校友与去向56

成员	教育背景	研究方向与经历
Vernon Rego校友 · PhD Student · June 1985	1985 Michigan State University PhD	Modeling and Analysis of Token-Passing Computer Networks a full professor with the Department of Computer Science, Purdue University.（履历所载）履历列出的博士指导关系。
Chong-Wei Xu校友 · PhD Student · May 1986	1986 Michigan State University PhD	Dynamic Process Migration for Load Balancing in Distributed Sys tems a full professor with the Department of Computer Science, Georgia Southern University.（履历所载）履历列出的博士指导关系。
Thomas B. Gendreau校友 · PhD Student · May 1987	1987 Michigan State University PhD	A Unified Environment for Distributed Computing an associate professor with the Department of Computer Science, University of Wisconsin, Lacrosse.（履历所载）履历列出的博士指导关系。
Ching-Farn E. Wu校友 · PhD Student · August 1987	1987 Michigan State University PhD	Application of Logical Circuit Representation to CMOS Circuit Design and Verification a senior MTS with IBM Watson Research Center.（履历所载）履历列出的博士指导关系。
Taieb Znati校友 · PhD Student · May 1988	1988 Michigan State University PhD	Design and Analysis of Local Area Network Protocols for Distributed Real-time Applications a full professor with the Department of Computer Science, University of Pittsburgh and US NSF Division Director.（履历所载）履历列出的博士指导关系。
Chung-Ta King校友 · PhD Student · June 1988	1988 Michigan State University PhD	Pipelined Data Parallel Algorithms: Concept, Design, and Modeling Associate Dean in College of EECS and full professor with the Department of Computer Sci ence, National Tsing Hua University, Taiwan.（履历所载）履历列出的博士指导关系。
Bruce McMillin校友 · PhD Student · June 1988	1988 Michigan State University PhD	Reliable Parallel Processing: The Application Oriented Paradigm a full professor with the Department of Computer Science, Missouri University of Science and Technology.（履历所载）履历列出的博士指导关系。
Youran Lan校友 · PhD Student · July 1988	1988 Michigan State University PhD	Interprocessor Communication in Distributed-Memory Multiprocessors an associate professor with the Department of Computer Science, University of Missouri at Columbia (passed away in 2002).（履历所载）履历列出的博士指导关系。
Jiann Liao校友 · PhD Student · June 1989	1989 Michigan State University PhD	Verification of MOS Circuits at the Switch Level a senior engineer with Integrated Device Technology, San Jose, CA.（履历所载）履历列出的博士指导关系。
Xian-He Sun校友 · PhD Student · May 1990	1990 Michigan State University PhD	Parallel Computation Models: Representation, Analysis, and Applica tions Professor and Chair with the Department of Computer Science, Illinois Institute of Technology, Chicago, IL.（履历所载）履历列出的博士指导关系。
Carl B. Erickson校友 · PhD Student · May 1991	1991 Michigan State University PhD	Design and Evaluation of a Hierarchical Bus Multiprocessor professor with the Department of Information Technology, Uppsala University, Sweden.（履历所载）履历列出的博士指导关系。
Xiaola Lin校友 · PhD Student · December 1991	1991 Michigan State University PhD	Multicast Communication in Multicomputer Networks full professor with the School of Information Science and Technology, Sun Yat-Sen University, China.（履历所载）履历列出的博士指导关系。
Honda Shing校友 · PhD Student · January 1992	1992 Michigan State University PhD	A Conflict-Free Memory Design for Shared-Memory Multiproces sors co-founder and CTO of Intervideo Corp., San Jose, California, now PhD candidate in Physics at UC Berkeley.（履历所载）履历列出的博士指导关系。
Ten-Hwan Tzen校友 · PhD Student · February 1992	1992 Michigan State University PhD	Advanced Loop Optimization: Dependence Uniformization and Trapezoid Self-Scheduling manager of C++ compiler group at Microsoft Corporation, Wash ington.（履历所载）履历列出的博士指导关系。
Jayashree Ramanathan校友 · PhD Student · July 1992	1992 Michigan State University PhD	Data Placement in Shared-Virtual-Memory Multiprocessors with Non-Uniform Memory Access Times manager at IBM, Austin, Texas.（履历所载）履历列出的博士指导关系。
Christopher J. Glass校友 · PhD Student · July 1992	1992 Michigan State University PhD	Designing Maximally Adaptive Algorithms for Wormhole Rout ing: The Turn Model (received the Outstanding Paper honor at the 1992 International Symposium on Computer Architecture) with Pharmacia & Upjohn Corp., Kalamazoo, Michigan.（履历所载）履历列出的博士指导关系。
Arun K. Nanda校友 · PhD Student · September 1992	1992 Michigan State University PhD	A Framework for Multiprocessor Performance Characterization and Calibration (received the Outstanding Paper Award at the 1992 International Conference on Parallel Processing) manager at Microsoft Corp., Washington.（履历所载）履历列出的博士指导关系。
Hong Xu校友 · PhD Student · October 1994	1994 Michigan State University PhD	Compilation-Time Data Decomposition Optimization for Data Parallel Programs Director of Engineering at Cisco Systems Inc., San Jose, CA.（履历所载）履历列出的博士指导关系。
Stephen W. Turner校友 · PhD Student · January 1995	1995 Michigan State University PhD	Processor Scheduling in a Distributed-Memory Computing Environment (received the Best Student Paper Award at Supercomputing'94) an associate professor with the Department of Computer Science, University of Michigan at Flint.（履历所载）履历列出的博士指导关系。
Edgar T. Kalns校友 · PhD Student · May 1995	1995 Michigan State University PhD	Scalable Data Redistribution Services for Distributed-Memory Ma chines Entrepreneurial Computer Scientist, SRI International, San Francisco.（履历所载）履历列出的博士指导关系。
Chi-Ming Chiang校友 · PhD Student · May 1995	1995 Michigan State University PhD	Multicasting in Multistage Interconnection Networks Director of Product Development, Delta Electronics, Inc., Taiwan.（履历所载）履历列出的博士指导关系。
Yew-Huey Liu校友 · PhD Student · August 1996	1996 Michigan State University PhD	A Framework for Distributed Web Services (received the Out standing Paper Award at the 1996 International Conference on Parallel and Distributed Systems) senior MTS at IBM Watson Research Center.（履历所载）履历列出的博士指导关系。
Wenjian Qiao校友 · PhD Student · September 1997	1997 Michigan State University PhD	Network Routing and Planning in Switch-based Networks MTS at IBM Research Triangle Park, Raleigh, North Carolina.（履历所载）履历列出的博士指导关系。
Natawut Nupaiorj校友 · PhD Student · May 1998	1998 Michigan State University PhD	Multicast Communication: From Platform-Independent Modeling to Platform-Dependent Tuning (received the Outstanding Paper Award at the 1996 International Conference on Parallel Processing) an associate professor with the Department of Computer Science at Chulalongkorn University, Thailand.（履历所载）履历列出的博士指导关系。
Wei-Kuo Liao校友 · PhD Student · December 1999	1999 Michigan State University PhD	Bounded-Cell-Loss-Ratio Flow Control and Reliable ABR Mul ticast an assistant professor with the Department of Communication Engineering, National Chiao Tung University, Hsinchu, Taiwan.（履历所载）履历列出的博士指导关系。
Xipeng Xiao校友 · PhD Student · April 2000	2000 Michigan State University PhD	Providing QoS in the Internet (received the 1997 ACM Best Graduate Research Contest Award) Director of Marketing, Huawei Europe, Germany（履历所载）履历列出的博士指导关系。
Fan Du校友 · PhD Student · August 2001	2001 Michigan State University PhD	Supporting Real-Time and Multimedia Applications in Wireless Networks MTS at Green Packet Network Inc., San Jose, CA.（履历所载）履历列出的博士指导关系。
Yong Chen校友 · PhD Student · May 2002	2002 Michigan State University PhD	CoStore: A Storage Cluster Architecture Using Network Attached Storage Devices MTS at Microsoft Corp., Redmond, Washington.（履历所载）履历列出的博士指导关系。
Vibhavasu Vuppala校友 · PhD Student · May 2002	2002 Michigan State University PhD	Virtual Network Ports Vice President of Information Tech nology, QGS Inc., Michigan.（履历所载）履历列出的博士指导关系。
Pei Zheng校友 · PhD Student · May 2003	2003 Michigan State University PhD	A Cluster Architecture Supporting Network Emulation Head and Sen ior Manager of Samsung AT&T/T-Mobile R&D lab in Bellevue, Washington.（履历所载）履历列出的博士指导关系。
Yunhao Liu校友 · PhD Student · July 2004	2004 Michigan State University PhD	Building Efficient and Secured Peer-to Peer Systems Professor and Dean of Software College, Tsing Hua University, Beijing, China.（履历所载） co-supervised with Prof. Li Xiao
Abhishek P. Patil校友 · PhD Student · July 2005	2005 Michigan State University PhD	Overlay Multicast in MANETs Senior Wireless Engineer, Corp. R&D Systems division, Qualcomm, San Diego, CA（履历所载） co-supervised with Prof. Abdol Esfahanian
Hongbo Zhou校友 · PhD Student · July 2005	2005 Michigan State University PhD	Autoconfiguration and Security for Wireless Networks an associate professor with the Department of Computer Science, Slippery Rock University, Slippery Rock, PA.（履历所载） co-supervised with Prof. Matt Mutka
Feng Zhu校友 · PhD Student · June 2006	2006 Michigan State University PhD	Secure and Private Service Discovery in Pervasive Computing Environments an assistant professor with the Department of Com puter Science, University of Alabama in Huntsville, Huntsville, AL. （履历所载） co-supervised with Prof. Matt Mutka
Yanmin Zhu校友 · PhD Student · July 2007	2007 HKUST PhD	Low-Power Event Detection and Wakeup Scheduling in Wireless Sensor Networks Research Associate at Imperial College London, now Associate Professor in the Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China（履历所载）履历列出的博士指导关系。
Jian Ma校友 · PhD Student · July 2007	2007 HKUST PhD	The Impact of Radio Signal Strength on the Design of Wireless Sensor Net works Vice President of Quantitative Research in Equity Derivatives Group, J.P. Morgan, Hong Kong（履历所载）履历列出的博士指导关系。
Yunhuai Liu校友 · PhD Student · August 2008	2008 HKUST PhD	Probabilistic Topology Control in Wireless Sensor Networks (re ceived the 2008 IEEE ICDCS Outstanding Paper Award) Deputy Director and Associate Researcher of IoT Lab, The Third Research Institute of Ministry of Public Security, Shanghai（履历所载）履历列出的博士指导关系。
Quanbin Chen校友 · PhD Student · August 2008	2008 HKUST PhD	General Clustering Framework in Wireless Sensor Networks Manager, HSBC, Hong Kong（履历所载）履历列出的博士指导关系。
Yiyang Zhao校友 · PhD Student · April 2010	2010 HKUST PhD	Localization and Tracking Based on RFID Technologies Postdoc Researcher, Tsinghua University, Beijing（履历所载）履历列出的博士指导关系。
Dian Zhang校友 · PhD Student · May 2010	2010 HKUST PhD	Localizing Transceiver-free Objects: The RF-Based Approaches Assistant Professor at Shenzhen University, Shenzhen, China（履历所载）履历列出的博士指导关系。
Yanyan Yang校友 · PhD Student · June 2010	2010 HKUST PhD	Channel Assignment and Its Applications in Wireless Networks Financial Analyst, Deutsche Bank AG, London, UK（履历所载）履历列出的博士指导关系。
Kaishun Wu校友 · PhD Student · June 2011	2011 HKUST PhD	Communication over Interference in Wireless Networks (received the 2012 Hong Kong Young Scientist Award) Research Assistant Professor at the Hong Kong University of Science and Technology.（履历所载）履历列出的博士指导关系。
Siyuan Liu校友 · PhD Student · August 2011	2011 HKUST PhD	Incomplete Data Analysis in Smart City Applications Research Scientist at Carnegie Mellon University.（履历所载）履历列出的博士指导关系。
Hoi-Lun Ngan校友 · PhD Student · September 2012	2012 HKUST PhD	Resource Optimization in Wireless Communication Systems: From Worthless to Valuable Equity Derivatives Developer at Royal Bank of Scotland Group, Hong Kong.（履历所载）履历列出的博士指导关系。
Wuman Luo校友 · PhD Student · December 2012	2012 HKUST PhD	Efficient Algorithms for Frequent Path Finding and Similarity Join in Massive Multi-dimensional Datasets Research Assistant Professor at the Hong Kong Uni versity of Science and Technology（履历所载）履历列出的博士指导关系。
Haoyu Tan校友 · PhD Student · December 2012	2012 HKUST PhD	An Efficient Storage System for Big Trajectory Data Research Assistant Professor at the Hong Kong University of Science and Technology（履历所载）履历列出的博士指导关系。
Xiaonan Guo校友 · PhD Student · August 2013	2013 HKUST PhD	From Localization to Floor Plan Identification Research Asso ciate at Singapore Management University（履历所载）履历列出的博士指导关系。
Jiansu Pu校友 · PhD Student · August 2013	2013 HKUST PhD	Visual Summarization and Analy sis of Spatio-Temporal Data Research Associate at the Hong Kong University of Science and Technology（履历所载） co-supervised with Prof. Huamin Qu
Min Gao校友 · PhD Student · April 2014	2014 HKUST PhD	Monitoring and Application of Wire less Sensor Networks Executive Director of Division of Internet of Things, Guangzhou HKUST Fok Ying Tung Research Institute（履历所载） co-supervised with Prof. Qian Zhang
Haochao Li校友 · PhD Student · May 2014	2014 HKUST PhD	Towards Efficient Communication in WLANs Based on Cross-Layer De sign Research Associate at the Hong Kong University of Science and Technology（履历所载）履历列出的博士指导关系。
Jiang Xiao校友 · PhD Student · May 2014	2014 HKUST PhD	Enhancing WLAN-based Indoor Localization with Channel State Infor mation Research Associate at the Hong Kong University of Science and Technology（履历所载）履历列出的博士指导关系。
Ye Ding校友 · PhD Student · June 2014	2014 HKUST PhD	AVATAR: A System for the Analysis of Vast Amount of Trajectories and Roads Research Associate at the Hong Kong University of Science and Technology （履历所载）履历列出的博士指导关系。
Hongzi Zhu校友 · PhD Student · January 2009	2009 Shanghai Jiao Tong University PhD	On New-Generation Intelligent Transportation Information Services Using Vehicular Sensor Networks, Shanghai Jiao Tong University Assistant Professor at Shanghai Jiao Tong University, Shanghai, China（履历所载）履历列出的博士指导关系。
Huajian Mao校友 · PhD Student · May 2013	2013 National University of Defense Technology PhD	Research on Key Technologies of Mobile Storage and Spatial Temporal Data Analysis in Cloud Environment, National University of Defense Technology Research Associate, Academy of Military Medical Sciences, Beijing, China（履历所载）履历列出的博士指导关系。
Maocheng Li校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil	Lecturer, HKUST CSE
Hao Zhang校友 · PhD Student · 2023–2024 年度毕业论文奖记录	—	与 Harry Shum 共同指导。

教育与履历

教育背景

1973
National Taiwan University
BS in Electrical Engineering
1977
Wayne State University
MS in Electrical and Computer Engineering
1980
Purdue University
PhD in Electrical Engineering

任职经历

1981–2002；1989 年晋升 Professor
Michigan State University
Faculty / Full Professor
1995–1996
US National Science Foundation
Program Director, Microelectronic Systems Architecture
1998–2001
CC&T Technologies
Co-founder and CEO
2002-07–2008-06
The Hong Kong University of Science and Technology
Head, CSE
2005-07–2014-12
The Hong Kong University of Science and Technology
Chair Professor
2011-03–2014-12
The Hong Kong University of Science and Technology
Dean, Fok Ying Tung Graduate School
2015-01–2019-04
University of Macau
Vice Rector for Academic Affairs / Chair Professor
2019-05–2021
The Hong Kong University of Science and Technology
Provost / Chair Professor
2021-06-01–2022
HKUST (Guangzhou)
President Designate
2022–
HKUST (Guangzhou)
Founding President

学术服务

计算系统领域资深研究者与大学领导者；近期仍参与生成模型和金融 AI 合作。行政与历史指导资历分别提供证据。

指导方式与组内生活

公开履历记录跨院校共同指导及毕业生在学术界和产业界的发展。

共同指导

博士毕业名单列出与 Li Xiao、Matt Mutka、Huamin Qu、Qian Zhang 等教师共同指导的学生。

业界合作与实习

合作机构: 3家
合作记录: 3条
成员产业经历: 0条

CC&T Technologies（创业）；Microsoft Research Asia（联合实验室）；WebEx（联合研究机构）

CC&T Technologies 创业
1998–2001 年共同创办并担任 CEO。
Microsoft Research Asia 联合实验室
2004-11–2014-12 任 HKUST 中国教育部 / Microsoft Research Asia IT Key Lab 主任。
WebEx 联合研究机构
2004-11–2007-02 任 WebEx/HKUST Information Technology Institute 主任。

学术影响与网络关注

计算标准

院系样本分位

累计引用96P96

h-index95P95

2024–2026 论文38P38

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 728 篇 · i10-index 325 · 截至 2026-10-17

Wikipedia 人物条目

近 12 个月浏览量: 1,234次

Yuan XIE

謝源

Chair Professor · 合聘与跨系教师

个人主页 · 学校档案 · 档案

实验室: JC STEM Lab of Future Advanced Computing Technologies (FACT Lab)
博士毕业于: Princeton University · 2002
研究主线: AI 系统与近存计算；AI for architecture 与 EDA；跨层计算技术

累计引用: 33,502次
h-index: 87
2024–2026 论文: 50篇
在组成员: 24人

研究方向

AI 系统与近存计算
LLM 推理、3D 集成、memory-centric architectures、软硬件 dataflow 联合优化。
AI for architecture 与 EDA
用 LLM 理解静态代码并指导预取、硬件验证和架构设计空间搜索。
跨层计算技术
芯片、RISC-V、具身智能加速、量子系统与编译、加密计算等；各子方向由具体成员与项目承担。

2025 H2-LLM 把 hybrid bonding 的算力与带宽取舍放入架构和数据流联合搜索；2026 Endor 进一步利用 reasoning 的 action-level 重用与近存架构；PF-LLM 同年反向利用 LLM 离线分析来改进传统 CPU 机制。两条主线分别是让硬件服务 AI、让 AI 改进硬件。

代表论文与近期发表

2025H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM InferenceISCA 2025

研究问题: 低 batch LLM 的 prefill 与 decode 资源需求不同；把处理器嵌入 DRAM die 的 NMP 受逻辑资源限制。
核心方法: 提出 hybrid-bonding 异构架构、data-centric dataflow abstraction 与自动 DSE，共同探索算力、带宽、buffer 和算子划分。
实验结果: 摘要报告相对已有 in-die NMP 异构加速器几何平均 2.72× 加速、1.48× 能效提升；框架公开。
实验条件与边界: 评估基于扩展 Ramulator2、Tileflow 与综合数据；HB 面积参数引用实芯片数据，整套性能仍是模拟结果。测试为 FP16 的 OPT-6.7B、LLaMA3-8B、PaLM-8B 及 batch 1/4/16。
课题组研究线: 将技术约束直接转化为架构和数据流搜索。
核阅章节: Abstract、Introduction、Evaluation Methodology

2026PF-LLM: Large Language Model Hinted Hardware PrefetchingASPLOS 2026

研究问题: 仅依靠运行时学习的硬件预取器难以利用完整程序上下文，并需要在线探索。
核心方法: 微调 Qwen2.5-Coder-0.5B 分析 load 指令附近汇编，离线生成策略提示；LMHint 在运行时以小型 hint buffer 驱动预取器 ensemble。
实验结果: 作者报告 memory-intensive SPEC 2017 上平均 IPC 比最佳单预取器提高 9.8%，比所比较 ensemble 提高 18.9%。
实验条件与边界: 性能使用 ChampSim、近似 Arm Neoverse N2 的配置；当前实现不原生支持 JIT/字节码，也未处理 ASLR，论文提出后续对接方法。
课题组研究线: 把大模型计算从热路径移到离线设计阶段。
核阅章节: Abstract、Introduction 片段、Simulation Setup、Limitations

2026Endor: Exploit Nearly-Decode-Only Opportunities of LLM Reasoning on Near-Memory ArchitectureDATE 2026

研究问题: 多步 reasoning 在 LLM 与 process reward model 之间交替，重复 prefill 和跨 action 依赖限制吞吐。
核心方法: 以 inter-action KV cache reuse、预测式 pipeline 和 score-aware cache 管理组成 nearly-decode-only 算法及 Endor-NMP。
实验结果: 在论文多模型与数据配置上，作者报告端到端平均比 A100 快 2.97×，比所比较先进 LLM accelerator 快 2.52×。
实验条件与边界: Endor 硬件性能由 Ramulator2 扩展模拟，附加硬件以 SystemVerilog 原型评估；收益依赖其 search-based reasoning 与 PRM 工作流。
课题组研究线: 延续 memory-centric 计算，同时将 reasoning 调度纳入共同设计。
核阅章节: Abstract、Introduction 片段、Evaluation Methodology、Conclusion（来源正文）

2024–2026 论文目录（共 50 篇）

2026 年20 篇

2025 年24 篇

2024 年6 篇

实验室与成员

JC STEM Lab of Future Advanced Computing Technologies (FACT Lab)

博士生: 16
博士后: 5
RA、访问与其他: 3

所在单位: HKUST ECE / CSE
地点: Room 2008A, Academic Building, HKUST, Clear Water Bay

计算机体系结构；AI 加速器；存内与近存计算；量子计算；软硬件协同设计

研究团队

研究助理教授、博士后、博士生、交换学生和 incoming 成员

产业合作

HKUST–Intel Joint Laboratory；合作伙伴页面列出 Intel 与 JD.com

在组成员24

成员	教育背景	研究方向与经历
Ceyu XuResearch Assistant Professor	Duke University PhD in Computer Science	机器学习硬件加速器、大语言模型、压缩量化与 AI for EDA
Xueqi LiPostdoctoral Researcher	2021 Southeast University BS in Electrical Engineering 2026 Tsinghua University PhD in Integrated Circuits（网页标注预计2026年取得）	存内计算架构与芯片、专用架构和软硬件协同设计
Jun XiaPostdoctoral Researcher	2023 East China Normal University PhD	边缘—云智能系统与可信 AI 博士导师 Mingsong Chen；曾在 Notre Dame 跟随 Yiyu Shi 从事博士后研究。
Weikai XuPostdoctoral Researchers	Peking University Doctoral study in Integrated Circuits	新型器件存内计算与搜索、硬件—算法协同设计
Yiyang YuanPostdoctoral Researcher	2021 Beijing Institute of Technology BS in Electronic Information Engineering 2025 Institute of Microelectronics, Chinese Academy of Sciences PhD in Microelectronics and Solid State Electronics	存内计算、RISC-V、AI 加速器与具身智能博士导师 Feng Zhang。
Shirui ZhaoPostdoc Researcher	Northwestern Polytechnical University BSc in Electrical and Electronics Engineering 2015 University of Chinese Academy of Sciences MSc in Microelectronics KU Leuven PhD	RISC-V 异构多核、概率机器学习、神经符号计算和流片博士导师 Marian Verhelst；博士后导师 Yuan Xie。
Ningzhi AiPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）	预取器、分支预测器和 AI 计算架构
Xin FanPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）	数据中心互连、通信和 scale-up 系统
Yanqin LiPhD StudentECE	Institute of Computing Technology, Chinese Academy of Sciences MS The Hong Kong University of Science and Technology PhD（在读）
Zihan LinPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）	3D 视觉与具身 AI
Qi LiuPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）	密码与推理加速器、FPGA 后端优化及硬件形式化验证
Ruyi SongPhD StudentECE	Zhejiang University Bachelor's degree Zhejiang University Master's degree The Hong Kong University of Science and Technology PhD（在读）	3D 集成电路
Wenhao SunPhD StudentECE	Institute of Computing Technology, Chinese Academy of Sciences MS The Hong Kong University of Science and Technology PhD（在读）	具身 AI 与机器人体系结构
Xiangfeng SunPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）	计算机体系结构与 VLSI
Renati TuerhongPhD Student	Peking University Bachelor's degree The Hong Kong University of Science and Technology PhD（在读）	3D Gaussian Splatting 和具身 AI 的硬件架构 2026-10-17 官方 RPG 记录列为 HKUST Electronic and Computer Engineering 在读 PhD，由 Yuan Xie 指导。
Hongyi WangPhD StudentECE	Tsinghua University Master's degree The Hong Kong University of Science and Technology PhD（在读）	软硬件协同设计、FPGA 加速器与具身 AI
Yiran XiaPhD Student · 2025–ECE	The Hong Kong University of Science and Technology PhD（在读）	AI 应用专用硬件、系统支持和 AI 辅助 EDA
Zhaohui YangPhD Student · 2024-09–ECE	The Hong Kong University of Science and Technology PhD（在读）	量子计算机系统和容错量子计算
Jiangnan YuPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）	硬件加速器、高性能计算与 AI
Ruiyun ZhangPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）	连续变量量子系统、容错量子计算与量子编译器
Ziyi ZhouPhD StudentECE	Southeast University BS in Computer Science Dartmouth College MS in Computer Science The Hong Kong University of Science and Technology PhD（在读）	大语言模型、具身 AI 与 AI 加速器
Shiyu HuangExchange Student	Nanjing University Undergraduate in Integrated Circuit Design and Integrated System	计算机架构和高效计算系统
Bohan LiExchange Student	South China University of Technology Undergraduate in Microelectronics	架构级功耗性能建模、CPU 微架构
Shiyi LiuPhD StudentECE	The Hong Kong University of Science and Technology PhD（在读）	AI 计算机架构，计算性能与能效优化

即将加入6

成员	教育背景	研究方向与经历
Zeyu Zhu即将加入 · Incoming Postdoctoral Researcher	Institute of Automation, Chinese Academy of Sciences PhD student	大语言模型、图神经网络和软硬件协同设计个人成员页列博士导师 Jian Cheng，并写明 incoming postdoctoral researcher。
Yi Shi即将加入 · Incoming Visiting Student	Nanjing University Undergraduate in Integrated Circuit Design and Integrated System	AI 加速器、GPU 计算与高效 LLM 推理
Yi Sun即将加入 · Incoming PhD Student	—	计算机体系结构与 AI for architecture
Xinyao Wang即将加入 · Incoming Visiting Student	Tsinghua University Undergraduate in Electrical Engineering	存内计算和专用加速器
Xunyuan Liu即将加入 · Incoming Visiting Student	Tsinghua University Undergraduate in Electrical Engineering	智能体系统与硬件优化
Yi Xu即将加入 · Incoming PhD Student	Tsinghua University Undergraduate in Electrical Engineering	AI 基础设施与专用计算架构

校友与去向79

成员	教育背景	研究方向与经历
Fengbin Tu校友 · Postdoctoral Researcher · 2022	Tsinghua University PhD	HKUST
Lei Deng校友 · Postdoctoral Researcher · 2020	2012 University of Science and Technology of China BE in Mechanical Engineering and Automation 2017 Tsinghua University PhD in Instrument Science and Technology	Tsinghua University
Jiayi Huang校友 · Postdoctoral Researcher · 2022	Zhejiang University BE Texas A&M University PhD	Alibaba
Weitao Li校友 · Postdoctoral Researcher · 2020	Tsinghua University PhD	Tsinghua University
Xin Ma校友 · Postdoctoral Researcher · 2019	2009 University of Science and Technology of China BS 2014 College of William and Mary PhD	Software Engineer at Google
Xing Hu校友 · Postdoctoral Researcher · 2019	Huazhong University of Science and Technology BS Chinese Academy of Sciences PhD	Chinese Academy of Science
Yongsoo Joo校友 · Postdoctoral Researcher · 2010	Seoul National University PhD	Associate Professor at Kookmin University
Lian Duan校友 · Postdoctoral Researcher · 2010	Peking University PhD
Guyue Huang校友 · PhD student · 2024	2020 Tsinghua University BE
Anbang Wu校友 · PhD student · 2024	Zhejiang University BE in Computer Science Zhejiang University ME in Computer Science
Yuke Wang校友 · PhD student · 2024	University of Electronic Science and Technology of China BE in Software Engineering
Zhaodong Chen校友 · PhD student · 2024	—
Nan Wu校友 · PhD student · 2023	2016 Tsinghua University BS in Electronic Engineering 2018 University of California, Santa Barbara MS
Bangyan Wang校友 · PhD student · 2023	—
Zheng Qu校友 · PhD student · 2023	2018 Tsinghua University BS in Electronic Engineering
Wenqin Huangfu校友 · PhD student · 2022	2016 Tsinghua University BS in Electronic Engineering
Gushu Li校友 · PhD student · 2022	2015 Tsinghua University BE in Electronic Engineering 2015–2017 University of Chicago PhD study
Jilan Lin校友 · PhD student · 2022	Tsinghua University BE in Electronic Engineering
Minyu Yan校友 · PhD student · 2020	Chinese Academy of Sciences PhD	Chinese Academy of Science, Assistant Professor
Liu Liu校友 · PhD student · 2022	University of Electronic Science and Technology of China BS University of California, Santa Barbara MS	Rensselaer Polytechnic Institute
Xinfeng Xie校友 · PhD student · 2022	Peking University BS	Meta
Tianqi Tang校友 · PhD student · 2022	2014 Tsinghua University BS 2017 Tsinghua University MS	Meta
Boyuan Feng校友 · PhD student · 2022	—	Meta
Liang Ling校友 · PhD student · 2022	2015 Beijing University of Posts and Telecommunications BS 2017 University of Southern California MS
Abanti Basak校友 · PhD student · 2021	Princeton University BS	Ampere
Peng Gu校友 · PhD student · 2021	Tsinghua University BS	Google
Dylan Stow校友 · PhD student · 2020	Harvey Mudd College BS in Engineering University of California, Santa Barbara MS in ECE 2020 University of California, Santa Barbara PhD in ECE	AMD
Itir Akgun校友 · PhD student · 2020	University of Illinois Urbana-Champaign BS 2020 University of California, Santa Barbara PhD in ECE	Qualcomm
Maohua Zhu校友 · PhD student · 2020	Tsinghua University BS Tsinghua University MS 2020 University of California, Santa Barbara PhD in ECE	Start-up
Kaisheng Ma校友 · PhD student · 2018	Peking University BS 2018 Pennsylvania State University PhD in CSE	Assistant Professor at Tsinghua University
Shuangchen Li校友 · PhD student · 2017	Tsinghua University BS Tsinghua University MS 2017 University of California, Santa Barbara PhD	Alibaba DAMO Lab
Hsiang-Yun Cheng校友 · PhD student · 2016	National Taiwan University BS National Taiwan University MS 2016 Pennsylvania State University PhD	Assistant Professor at Academia Sinica, Taiwan
Ping Chi校友 · PhD student · 2016	Tsinghua University BS Tsinghua University MS 2016 University of California, Santa Barbara PhD	Architect at Intel Corporation
Jia Zhan校友 · PhD student · 2016	Harbin Institute of Technology BS 2016 University of California, Santa Barbara PhD	Software Engineer at Uber
Qiaosha Zou校友 · PhD student · 2015	Huazhong University of Science and Technology BS 2015 Pennsylvania State University PhD	Now Assistant Professor at Fudan University
Jing Xie校友 · PhD student · 2015	Peking University BS North Carolina State University MS 2015 Pennsylvania State University PhD	GPU Staff Engineer at Qualcomm
Matt Poremba校友 · PhD student · 2015	Pennsylvania State University BS 2015 Pennsylvania State University PhD	Researcher at AMD
Cong Xu校友 · PhD student · 2014	Peking University BS 2014 Pennsylvania State University PhD	Senior Researcher at HP Lab
Jue Wang校友 · PhD student · 2014	Tsinghua University BS Tsinghua University MS 2014 Pennsylvania State University PhD	Software Engineer at Google
Jishen Zhao校友 · PhD student · 2014	Zhejiang University BS Zhejiang University MS 2014 Pennsylvania State University PhD	Associate Professor at UCSD
Tao Zhang校友 · PhD student · 2014	Peking University BS Peking University MS 2014 Pennsylvania State University PhD	Architect at Alibaba T-head
Dimin Niu校友 · PhD student · 2013	Tsinghua University BS Tsinghua University MS 2013 Pennsylvania State University PhD	Researcher at Alibaba DAMO Academy
Jin Ouyang校友 · PhD student · 2012	Peking University BS 2012 Pennsylvania State University PhD	GPU Architect at AMD
Yibo Chen校友 · PhD student · 2011	Tsinghua University BS Tsinghua University MS 2011 Pennsylvania State University PhD	Engineering Manager at Google
Guangyu Sun校友 · PhD student · 2011	Tsinghua University BS Tsinghua University MS 2011 Pennsylvania State University PhD	Associate Professor at Peking University
Xiangyu Dong校友 · PhD student · 2011	Shanghai Jiao Tong University BS 2011 Pennsylvania State University PhD	Staff SWE at Google
Mike Debole校友 · PhD student · 2010	Pennsylvania State University BS 2010 Pennsylvania State University PhD	Researcher at IBM
Soumya Eachempati校友 · PhD student · 2010	Indian Institute of Technology BS 2010 Pennsylvania State University PhD	Performance Architect for Server Platform at Intel
Prasanth Mangalagiri校友 · PhD student · 2010	Indian Institute of Technology BS Indian Institute of Technology MS 2010 Pennsylvania State University PhD	Senior Staff Engineer at Intel
Xiaoxia Wu校友 · PhD student · 2010	Tsinghua University BS Tsinghua University MS 2010 Pennsylvania State University PhD	Staff Engineer at Synopsys
Balaji Vaidyanathan校友 · PhD student · 2009	University of Madras BS 2009 Pennsylvania State University PhD	Senior Data Scientist at Walmart Lab
Feng Wang校友 · PhD student · 2008	Fudan University BS Fudan University MS 2008 Pennsylvania State University PhD	GPU Performance Architect at Intel
Yu Wang校友 · PhD student · 2007	2007 Tsinghua University PhD	Department Chair of EE at Tsinghua University
Wei-Lun Hung校友 · PhD student · 2006	National Tsinghua University BS National Tsinghua University MS 2006 Pennsylvania State University PhD	Software Engineer at Goldmen Saches
Pengfei Xu校友 · MS student · 2023	Shanghai Jiao Tong University BE
Yang Zhao校友 · MS student · 2019	Fudan University BS Fudan University MS	Rice University
Russell Barnes校友 · MS student · 2017	2015 Oregon State University BS in Electrical and Computer Engineering	Now at Qualcomm
Linuo Xue校友 · MS student · 2017	Harbin Institute of Technology BS	Now at Synopsys
Ziyang Qi校友 · MS student · 2016	Tsinghua University BS 2016 University of California, Santa Barbara MS	Now at Yahoo
Ivan Stalev校友 · MS student · 2015	Pennsylvania State University BS 2015 Pennsylvania State University MS	Now at VSCO
Yang Zheng校友 · MS student · 2015	Peking University BS 2015 Pennsylvania State University MS	Now at Google
Angeline Brown校友 · MS student · 2011	Jackson State University BS 2011 Pennsylvania State University MS
Paul Falkenstern校友 · MS student · 2008	2008 Pennsylvania State University MS	Now at Lockheed Martin
Charles Addo-Quaye校友 · MS student · 2007	2007 Pennsylvania State University MS	Now at Purdue
Han-wei Chen校友 · MS student · 2007	2007 Pennsylvania State University MS	Now at Intellectual Property Attorney
Melvin Eze校友 · MS student · 2007	2007 Pennsylvania State University MS	Now at Penn State
Yinkun Xue校友 · MS student · 2006	2006 Pennsylvania State University MS	Now at Siemens Inc.
Tom Richardson校友 · MS student · 2005	2005 Pennsylvania State University MS	Now at Availink Inc.
Ziyu Gu校友 · Exchange Student · 2025	Tsinghua University MS
Rachel Reyes校友 · Undergraduate Researcher · 2017	University of California, Santa Barbara BS
Nicole Moghaddas校友 · Undergraduate Researcher · 2016	University of California, Santa Barbara BS
Chunqing Liu校友 · Undergraduate Researcher · 2016	University of California, Santa Barbara BS
Zhansaya Abdikarimova校友 · Undergraduate Researcher · 2016	University of California, Santa Barbara BS	Now at Amazon
Jiayi Jiang校友 · Undergraduate Researcher · 2016	University of California, Santa Barbara BS	Now at UCLA
Matthew Ruth校友 · Undergraduate Researcher · 2015	University of California, Santa Barbara BS
Hsuan Cheng校友 · Undergraduate Researcher · 2015	University of California, Santa Barbara BS	Now at CMU
Zhiwang Zhang校友 · Undergraduate Researcher · 2015	Pennsylvania State University BS	Columbia University
Deanna Chnarrs校友 · Undergraduate Researcher · 2009	Pennsylvania State University BS	Now at Lockheed Martin
Benjamin Hvostal校友 · Undergraduate Researcher · 2008	Pennsylvania State University BS	Now at Intel

教育与履历

教育背景

1997
Tsinghua University
BS in Electronic Engineering
1999
Princeton University
MS in Electrical Engineering
2002
Princeton University
PhD in Computer Engineering
导师 Wayne Wolf

任职经历

2002–2003
IBM Microelectronics
Advisory Engineer
2003–2014
Pennsylvania State University
Faculty
2012–2013
AMD Research
Senior Manager and Principal Researcher
2014 起
University of California, Santa Barbara
Professor（此前任职）
2024 Fall–
The Hong Kong University of Science and Technology
Chair Professor

学术服务

计算机体系结构、VLSI 和 EDA 的资深研究者，具有产业经历、研究中心与联合实验室领导职责。

指导方式与组内生活

实验室公开提供研究、写作、演讲、审稿与职业发展的资料入口。

研究训练资源

Advice Collection 汇集博士研究、论文写作、学术演讲、同行评审和求职资料。

业界合作与实习

合作机构: 5家
合作记录: 5条
成员产业经历: 0条

IBM（任职）；AMD Research（任职）；Alibaba Group（任职）；Intel（联合实验室）；JD.com（实验室合作伙伴）

IBM 任职
2002–2003 年在 Worldwide Design Center 任 Advisory Engineer。
AMD Research 任职
2012–2013 年任 Senior Manager and Principal Researcher。
Alibaba Group 任职
个人简介列出 Alibaba Group 产业经历。
Intel 联合实验室
2026 年成立 HKUST–Intel Joint Laboratory，开展高能效近存计算架构与软硬件协同研究。
JD.com 实验室合作伙伴
FACT Lab 的 Sponsors & Partners 列出 JD.com。

学术影响与网络关注

计算标准

院系样本分位

累计引用95P95

h-index96P96

2024–2026 论文69P69

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 865 篇 · i10-index 450 · 截至 2026-10-17

Hongbo FU

傅紅波

Professor · 合聘与跨系教师

个人主页 · 学校档案 · 档案

实验室: Hongbo's Group
博士毕业于: The Hong Kong University of Science and Technology · 2007
研究主线: 草图驱动内容创作；可控生成与几何一致性；人机协作与创意工具

累计引用: 7,666次
h-index: 45
2024–2026 论文: 66篇
在组成员: 17人

研究方向

草图驱动内容创作
把手绘、局部草图和轻量交互转为三维形状、角色动画和视频编辑。
可控生成与几何一致性
视点控制、多轨迹视频生成、点云及深度约束，以及跨视角内容一致性。
人机协作与创意工具
创作者保留控制权的交互设计，结合图形学、视觉和 Human–AI interaction。

草图与几何交互是持续主线。DrawingSpinUp 将单张业余角色画转为三维动画，Sketch3DVE 把局部草图编辑传播至视点变化的视频，CameraSquad 进一步对多个相机轨迹联合生成一致内容。近期主题从静态建模延伸到可控、可编辑的动态场景。

代表论文与近期发表

2024DrawingSpinUp: 3D Animation from Single Character DrawingsSIGGRAPH Asia 2024

研究问题: 普通 image-to-3D 对业余角色画的视角相关轮廓及细肢体处理较差，二维动画又限制三维动作。
核心方法: 先去轮廓、重建三维并重定向动作，再恢复轮廓；用骨架引导的 cutting-and-thinning 修正细结构。
实验结果: 实验与感知用户研究支持其较既有二维和三维方法生成更合理动画；代码与项目演示公开。
实验条件与边界: 假设正面 A/T pose 和少自遮挡；交叉肢体会粘连，边缘阈值与粗轮廓会造成伪影，rigging 依赖重建质量。
课题组研究线: 延续草图输入与三维创作，Hongbo Fu 在该作列通讯作者。
核阅章节: Abstract、Introduction 片段、Conclusion、Limitations

2025Sketch3DVE: Sketch-based 3D-Aware Scene Video EditingSIGGRAPH 2025

研究问题: 显著相机变化使局部视频结构修改难以维持新内容一致性及未编辑区域。
核心方法: 在首帧完成草图引导编辑；由稠密立体方法估计相机和点云，用深度对齐编辑内容，再执行三维 mask propagation 与 video diffusion。
实验结果: 支持插入、删除、替换及外观修改，论文实验显示相对比较方法的编辑与一致性优势。
实验条件与边界: 继承 DUSt3R 的几何误差；当前训练数据限制 360° 视角处理，并主要面向近静态场景。
课题组研究线: 把二维草图控制推广为带显式三维约束的视频系统。
核阅章节: Abstract、Introduction 片段、Conclusion、Limitation and Discussion

2026CameraSquad: Achieving Content Consistency in Parallel Multi-Trajectory Camera-Controlled Video GenerationSIGGRAPH 2026

研究问题: 多轨迹分别生成视频会因扩散随机性导致视图间内容变化；单视角点云又受稀疏和深度误差限制。
核心方法: 解耦内容控制和相机控制，设计 dual-mode cross-view attention，让多个轨迹并行生成。
实验结果: 在文中评估上达到有竞争力的相机精度、跨视图一致性和生成质量，并改善反投影点云质量。
实验条件与边界: 缺少显式几何先验，抽象和分布外场景会失败；合成数据与小范围相机轨迹限制大视野外推。
课题组研究线: 从逐帧编辑走向多视角一致的动态内容生成；该作通讯作者为 Lin Gao。
核阅章节: Abstract、Introduction 片段、Conclusion and limitations

2024–2026 论文目录（共 66 篇）

2026 年18 篇

2025 年23 篇

2024 年25 篇

实验室与成员

Hongbo's Group

博士生: 16
硕士生: 1

所在单位: HKUST Arts and Machine Creativity；合作涉及 CityUHK 与 HKUST (Guangzhou)
地点: Room 4341, Academic Building, HKUST

图形学；人机交互；视觉内容创作

跨校指导

团队名单逐人列有 HKUST、CityUHK 与 HKUST (Guangzhou) 的学生及共同导师

在组成员17

成员	教育背景	研究方向与经历
Haokai PangPhD Student · 2025-2029IIP	BIT BSc ETH Zurich MS The Hong Kong University of Science and Technology PhD（在读）	共同导师为 Anyi Rao
Jianxin HuangPhD Student · 2025-2029IIP	Tongji BSc The Hong Kong University of Science and Technology PhD（在读）	共同导师为 Anyi Rao
Zi-Chen XiPhD Student · 2025-2029IIP	Tsinghua Bachelor Tsinghua Master The Hong Kong University of Science and Technology PhD（在读）	共同导师为 Qifeng Chen
Boyu LiPhD Student · 2025-2029AMC · 艺术与机器创造力简历	2023 Xi’an Jiaotong University BEng in Automation The Hong Kong University of Science and Technology (Guangzhou) MPhil The Hong Kong University of Science and Technology PhD（在读）	生成式 AI 创作支持工具、AR/VR 三维交互、动画创作与三维内容编辑共同导师为 Zeyu Wang。硕士阶段由 Zeyu Wang、Huamin Qu 指导；博士阶段由 Hongbo Fu、Zeyu Wang 指导
Liheng ChenMPhil student (HKUST) · 2025-2027	Beijing Normal Bachelor	共同导师为 Anyi Rao
Zixuan YePhD Student · 2025-2029IIP	HUST BE HUST Master The Hong Kong University of Science and Technology PhD（在读）	主导师为 Wenhan Luo。共同指导
Gongye LiuPhD Student · 2025-2029IIP	Beihang BE Tsinghua (Shenzhen MSc The Hong Kong University of Science and Technology PhD（在读）	主导师为 Wenhan Luo。共同指导
Songlin YangPhD Student · 2025-2029IIP LinkedIn · GitHub · Google Scholar GitHub 关注 19 Stars 145	Nanjing University of Aeronautics and Astronautics BEng 2024 Institute of Automation, Chinese Academy of Sciences MS The Hong Kong University of Science and Technology PhD（在读）	生成与理解统一、多模态推理、电影长视频生成、创作者与模型协同学习 Tencent Video AI Center · Student Researcher Nanyang Technological University MMLab · Research Associate SenseTime Research, Content Generation Group · Research Intern Microsoft Research Asia, Machine Learning Group · Research Intern SenseTime Research, Identity Verification Group · Research Intern 主导师为 Anyi Rao。共同指导硕士导师为 Wei Wang、Jing Dong；博士导师为 Anyi Rao、Hongbo Fu。2026 年获 Tencent Project UP (Qingyun)
Junrong HuangPhD student (CityUHK) · 2023-2027	ZJU BE CMU MS	共同导师为 Jing Liao
Jiaye LengPhD student (CityUHK) · 2023-2027 简历 · Google Scholar · LinkedIn · ORCID · GitHub · OpenAlex OpenAlex 近三年 4 引用 63 h-index 5 GitHub 关注 2 Stars 0	China University of Mining and Technology BEng 2023 Beihang University Master City University of Hong Kong PhD（在读）	Human–AI Interaction、Creativity Support、Extended Reality 共同导师为 Miu Ling Lam 硕士导师为 Lili Wang；博士导师为 Hongbo Fu、Miu-Ling Lam。2023-05 加入 Hongbo Fu 团队任 RA，2023-09 开始 CityU 博士。
Qiaochu WangPhD student (CityUHK) · 2021-2025	ZJU BE Johns Hopkins MS	共同导师为 Manfred Lau
Ziwei ChiPhD StudentAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）
Longji HuangPhD StudentAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Hengyu MengPhD StudentAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）
Hanxiao SunPhD StudentAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Bo YangPhD StudentAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Jieliang YinPhD StudentIIP	The Hong Kong University of Science and Technology PhD（在读）	共同指导

校友与去向28

成员	教育背景	研究方向与经历
Jie Zhou校友 · PhD student (CityUHK) · 2020-2025 GitHub · Google Scholar GitHub 关注 32 Stars 723	2017 Southeast University BSc in Computer Science and Technology 2020 Shanghai Jiao Tong University Master in Computer Technology 2025 City University of Hong Kong PhD	草图三维建模、三维角色动画与可控 AIGC Tencent YouTu Lab · Research Intern2019-07–2020-03 共同导师为 Miu Ling Lam 硕士导师为 Lizhuang Ma；博士导师为 Hongbo Fu、Miu-Ling Lam。2022-05 至 2022-09 在 CUHK Shenzhen GAP Lab 访问。
Linzi Qu校友 · PhD student (CityUHK) · 2021-2025 GitHub GitHub 关注 1 Stars 1	2018 Xidian University BEng in Electronic Information Engineering 2021 Xidian University Master in Control Engineering and Science 2025 City University of Hong Kong PhD	可控人物内容生成、草图交互、角色动画共同导师为 Miu Ling Lam 硕士导师为 Xinbo Gao；博士导师为 Hongbo Fu、Miu-Ling Lam。2025-02 起访问清华 Yebin Liu 组，2022-05 至 2022-09 曾访问 CUHK Shenzhen GAP Lab。
Hui Ye校友 · Postdoc (HKUST) · 2022-2025 Google Scholar · LinkedIn · ORCID · GitHub · OpenAlex GitHub 关注 2 Stars 0	University of Science and Technology of China BA in Communication；Minor in Computer Science and Technology City University of Hong Kong PhD	GenAI 与 AR/VR 支持的内容创作、交互设计、人机交互与传播研究 Assistant Professor, Department of Interactive Media, Hong Kong Baptist University 博士导师为 Hongbo Fu。后在 CityUHK 与 HKUST 担任 RGC Postdoctoral Fellow。
Chufeng Xiao校友 · PhD student (CityUHK) · 2019-2024 Google Scholar · GitHub · ORCID · LinkedIn · OpenAlex OpenAlex 近三年 5 引用 374 h-index 7 GitHub 关注 21 Stars 145	2019 South China University of Technology BEng 2024 City University of Hong Kong PhD	统一多模态生成、可控 AIGC、草图驱动图像与三维内容创作 Huawei, Artificial Intelligence Laboratory (Leibniz) · Senior Researcher2025-02– Senior Researcher, Artificial Intelligence Laboratory (Leibniz), Huawei，2025-02 起本科导师为 Shengfeng He，博士导师为 Hongbo Fu；2024-06 起在 HKUST 与 Wenhan Luo、Yike Guo 开展博士后研究。
Xuanyu Wang校友 · PhD student (CityUHK) · 2020-2024 简历 · Google Scholar · LinkedIn · GitHub · DBLP · ORCID · OpenAlex DBLP 近三年 5 OpenAlex 近三年 4 引用 199 h-index 5 GitHub 关注 0 Stars 0	2018 Xi’an Jiaotong University BEng in Computer Science and Technology 2024 City University of Hong Kong PhD Xi’an Jiaotong University PhD	AR/VR 远程呈现、远程会议与协同交互 Assistant Professor, School of Mechanical Engineering and XJTU-POLIMI Joint School, Xi’an Jiaotong University 共同导师为 Weizhan Zhang from XJTU 取得 CityU 与 XJTU 两个博士学位；导师 Hongbo Fu、Weizhan Zhang，外部共同导师 Christian Sandor。曾在 CityU Kening Zhu 的 MEI Lab 做博士后。
Deng Yu校友 · PhD student (CityUHK) · 2018-2023 Google Scholar · GitHub GitHub 关注 7 Stars 15	China U of Petroleum MSc	Sketch-based Shape and Structure Analysis in Design and Fabrication Assistant Professor, Shandong University CityU 博士及博士后研究，与 Hongbo Fu、Miu-Ling Lam、Manfred Lau 合作；曾在浙江大学、中国科学院访问。
Taizhou Chen校友 · PhD student (CityUHK) · 2018-2022 简历 · Google Scholar · GitHub GitHub 关注 6 Stars 16	—	Deep Learning Based Gesture Sensing Techniques for Wearable Devices Lecturer / Assistant Professor, Shantou University Main Supervisor: Dr. Kening Zhu CityU 博士导师为 Kening Zhu、Hongbo Fu。
Wanchao Su校友 · PhD student (CityUHK) · 2016-21 简历 · Google Scholar · DBLP · GitHub DBLP 近三年 16 GitHub 关注 12 Stars 91	Dalian University of Technology Bachelor in Information Management and Systems 2021 City University of Hong Kong PhD	计算机图形学、人机交互、深度生成模型与创意实践 Research Fellow, SensiLab, Monash University 博士导师为 Hongbo Fu；后在 CityU 与 Jing Liao 开展博士后研究。
Yilan Chen校友 · PhD student (CityUHK) · 2014-21	SCUT BE	Sketching Interfaces with Structure and Context Cues an Algorithm Engineer, ASML-Brion, China
Pui Chung Wong校友 · PhD student (CityUHK) · 2015-20	CityUHK Bachelor	Eyes-Free Interaction on Wearables beyond Touch Screen co-supervised by Dr. Kening Zhu
Bin Chen校友 · PhD student (CityUHK) · 2015-19 Google Scholar · ORCID · DBLP · OpenAlex DBLP 近三年 10	—	Lecturer, University of Melbourne Main Supervisor: Dr. Miu-Ling Lam CityU 博士导师为 Miu-Ling Lam、Hongbo Fu；曾在 Max Planck Institute 与 Karol Myszkowski 开展博士后研究，在 Cambridge 与 Rafal Mantiuk 访问合作。
Kin Chung Kwan校友 · Post-doc (CityUHK) · 2017-20 Google Scholar · LinkedIn · ORCID · OpenAlex OpenAlex 近三年 0 引用 233 h-index 7	2009 The Chinese University of Hong Kong BSc 2015 The Chinese University of Hong Kong PhD	Assistant Professor, California State University, Sacramento，2023 起博士导师 Tien-Tsin Wong；2017–2020 年在 CityU 与 Hongbo Fu 开展博士后研究。
Xin Yang校友 · Post-doc under Hong Kong Scholars Scheme (香江學者) · 2017-19	Jilin University Bachelor	a Professor at Dalian University of Technology, China
Bin Bao校友 · MPhil (CityUHK) · 2010-2017	CityUHK MPhil	Flexible Vectorization and Colorization Tools for Line Drawings a Lecturer at Shangdong Women's University, China
Quoc Huy Phan校友 · PhD student (CityUHK) · 2012-2016	—	Data-driven Methods for Capturing and Replicating Artistic Styles in Graphical Design a Postdoc at University of Bath, UK co-supervised by Dr. Antoni Chan, now a Postdoc at University of Bath, UK
Andy Li校友 · PhD student (CityUHK) · 2010-2015	CityUHK Bachelor	Accuracy, Accessibility and Extensibility in Mobile Device Interaction a Senior Researcher at Beeinventor, Hong Kong
Shizhe Zhou校友 · Visiting PhD student / Research Fellow · 2010–2011；2017–2018 GitHub GitHub 关注 4 Stars 0	2011 Zhejiang University PhD in Applied Mathematics	an Associate Professor at Hunan University, China 2012 年 INRIA 博士后，2012–2015 年任职 USTC。
Dong Du校友 · Visiting PhD student from University of Science and Technology of China · 2017-18 简历 · X · GitHub · Google Scholar · ORCID · OpenAlex GitHub 关注 21 Stars 10	2014 Nanjing University of Science and Technology BSc 2021 University of Science and Technology of China PhD	Associate Professor, Nanjing University of Science and Technology 博士导师为 Ligang Liu、Xiaoguang Han；2017–2018 年在 Hongbo Fu 组访问。
Wenlong Meng校友 · Visiting Master student from Ningbo University · 2017-18	—	an Assistant Professor at Harbin Institute of Technology
Pengfei Xu校友 · Phd student (HKUST) · 2011-2015 Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 23 OpenAlex 近三年 26 引用 370 h-index 10	2009 Zhejiang University BSc in Mathematics 2012 The Hong Kong University of Science and Technology MPhil in CSE 2015 The Hong Kong University of Science and Technology PhD in CSE	自动或交互式视觉内容创作、计算机图形学与人机交互 Tsinghua University · Research Intern2009-09–2010-01 Associate Professor, Shenzhen University，2023-08 起 co-supervised by Prof. Chiew-Lan Tai 博士导师为 Chiew-Lan Tai、Hongbo Fu；2015-02 至 2016-02 在 HKUST 任博士后。
Zhe Huang校友 · Postdoc (CityUHK) · 2015-2016	—	Senior Algorithm Researcher, INTELLIFUSION
Yongwei Nie校友 · Visiting PhD student from Wuhan University · 2014	—	an Associate Professor at South China University of Technology, China
Changqing Zou校友 · Visiting PhD student from Chinese Academy of Sciences · 2013-2014	—	a ZJU100 Young Professor at Zhejiang University
Jiyuan Zhang校友 · Visiting PhD student from Peking University · 2013-2014	—
Xiaoguang Han校友 · Research Associate (CityUHK) · 2011-2013 DBLP · ORCID · OpenAlex DBLP 近三年 115 OpenAlex 近三年 1 引用 0 h-index 0	—	an Assistant Professor at Chinese University of Hong Kong (Shenzhen
Hanlin Zheng校友 · Visting PhD student from Zhejiang University · 2011-2012	—
Jia Chen校友 · Senior Research Associate · 2010	—	Head of Data Science, Integrity and Core Experience at Grab, Singapore
Qingnan (James) Zhou校友 · Visiting PhD student from New York University · 2010	—	a Research Engieer at Adobe Research

教育与履历

教育背景

2002
Peking University
BSc in Information Sciences
2007
The Hong Kong University of Science and Technology
PhD in Computer Science
导师 Chiew-Lan Tai

任职经历

2007–2008
University of British Columbia
Postdoctoral Researcher
2008–2009
Max Planck Institute for Informatics
Postdoctoral Researcher
2009–2014
City University of Hong Kong
Assistant Professor
2014–2019
City University of Hong Kong
Associate Professor
2019–2024
City University of Hong Kong
Professor
2024–
The Hong Kong University of Science and Technology
Professor / Acting Head, Arts and Machine Creativity
2025–
The Hong Kong University of Science and Technology
Joint Professor, CSE

学术服务

图形学与交互式内容创作领域的成熟研究者，以 SIGGRAPH 系列研究、编辑服务及 AMC 学科建设为主要可核验证据。

指导方式与组内生活

团队公开逐人列出共同指导安排，结合图形学、人机交互和视觉内容创作。

共同指导

成员名单列出 Anyi Rao、Qifeng Chen、Zeyu Wang、Wenhan Luo、Miu-Ling Lam 等共同或主要导师。

业界合作与实习

合作机构: 0家
合作记录: 0条
成员产业经历: 9条

成员实习与产业经历

2009-09–2010-01
Pengfei Xu · Tsinghua University
求学阶段：Before MPhil
本科毕业后、MPhil 入学前的研究实习。；Research Intern
2019-07–2020-03
Jie Zhou · Tencent YouTu Lab
求学阶段：Master
计算机技术硕士期间研究实习。；Research Intern
2025-02–
Chufeng Xiao · Huawei, Artificial Intelligence Laboratory (Leibniz)
Senior Researcher
2026-07–
Yulin Shen · Tencent
求学阶段：PhD
利用空间输入开展可控 3D Gaussian Splatting 生成与编辑。
Songlin Yang · SenseTime Research, Content Generation Group
本人履历列出的 Research Intern 经历。；Research Intern
Songlin Yang · Microsoft Research Asia, Machine Learning Group
本人履历列出的 Research Intern 经历。；Research Intern
Songlin Yang · SenseTime Research, Identity Verification Group
本人履历列出的 Research Intern 经历。；Research Intern
Songlin Yang · Tencent Video AI Center
Student Researcher
Songlin Yang · Nanyang Technological University MMLab
Research Associate

学术影响与网络关注

计算标准

院系样本分位

累计引用65P65

h-index67P67

2024–2026 论文75P75

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 320 篇 · i10-index 153 · 截至 2026-10-17

Janet Hui-wen HSIAO

蕭惠文

Professor · 合聘与跨系教师

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: Attention Brain and Cognition Lab (ABC) / AI Ethics and Governance Lab
博士毕业于: University of Edinburgh · 2006
研究主线: 计算认知与注意机制；视觉和语言认知；以用户理解为目标的 XAI

累计引用: 3,510次
h-index: 28
2024–2026 论文: 29篇
在组成员: 10人

研究方向

计算认知与注意机制
利用 EMHMM、DNN、行为实验、眼动和 EEG 分析个体视觉策略、表征形成与学习。
视觉和语言认知
人脸识别、词阅读、对象识别、阅读中的眼动与心理语言学。
以用户理解为目标的 XAI
评价解释是否帮助人预测 AI 行为；将认知机制与 human-centred responsible AI、伦理和治理连接。

2024 以 EMHMM 区分词阅读中的注视位置和稳定性，2025 用同步 EEG 解码连接眼动与神经表征的质量、形成速度，2026 把相同的认知评估思路用于 saliency explanation 是否真的改善用户理解。由观察行为到建模机制，再到人理解 AI，是较连贯的研究路径。

代表论文与近期发表

2024Understanding the Role of Eye Movement Pattern and Consistency in Isolated English Word Reading Through Hidden Markov ModelingCognitive Science 48(9), e13489

研究问题: 已知最佳注视位置 OVP，尚需解释读者自发眼动的个体差异能否预测词阅读表现。
核心方法: 用 EMHMM 聚类注视模式、以熵量化一致性，比较 lexical decision、word naming、pseudoword naming，并考虑词汇与认知能力。
实验结果: 更接近 OVP-focused 模式与更快词汇判断相关；命名任务中第一注视的一致性预测速度。不同任务的模式作用存在差异。
实验条件与边界: 所读结果是任务内的预测关联；面向阅读困难的干预效果需要另外实验。
课题组研究线: 展示将个体差异从平均热图转成可检验时序模型。
核阅章节: Abstract、Introduction 片段、Results 片段（公开 Wiley 正文）

2025Understanding the role of eye movement pattern and consistency during face recognition through EEG decodingnpj Science of Learning 10, 28

研究问题: 眼动模式与一致性都和人脸识别表现有关，它们是否对应不同神经处理机制仍需检验。
核心方法: 84 名参与者完成 old/new 人脸识别；EMHMM 描述眼动，SVM 对 ERP/EEG 信号解码并比较准确率及峰值时延。
实验结果: 更眼部聚焦的模式与 high-alpha 解码准确度相关；更一致的眼动与更短峰值时延及更高 ERP 解码准确度相关。
实验条件与边界: 这是眼动与神经表征之间的相关性证据；对筛查、诊断或训练干预的应用仍属后续方向。
课题组研究线: 把 EMHMM 行为指标接到神经表征的有效性与形成效率。
核阅章节: Abstract、Introduction 片段、Discussion 片段

2026Rethinking explainable AI: The gap between saliency-based explanation and user understanding for object detection modelsInternational Journal of Human-Computer Studies 210, 103773

研究问题: 常用 saliency explanations 是否真正改善用户对对象检测模型的理解缺乏直接验证。
核心方法: 建立 feature、object、image 三个层次的理解任务，比较模型 hits/misses/false alarms 信息与加入 saliency 的效果，并分析眼动。
实验结果: 作者报告 saliency 没有在所测任务中提供额外理解收益；只呈现输出也无法改善全部 image-level 理解。眼动策略及一致性与理解的不同方面相关。
实验条件与边界: 结论限定于所测对象检测任务。
课题组研究线: 从解释图可视化转向可直接测量的用户理解。
核阅章节: Abstract（完整，期刊与 HKUST Portal 交叉核对）

2024–2026 论文目录（共 29 篇）

2026 年4 篇

2025 年10 篇

2024 年15 篇

实验室与成员

Attention Brain and Cognition Lab (ABC) / AI Ethics and Governance Lab

博士生: 6
博士后: 2
RA、访问与其他: 2

所在单位: HKUST Social Science、CSE 与 CAiRE
地点: HKUST；部分在读学生保留 HKU 项目联系

学习和视觉认知；眼动与 EEG；计算认知建模；可解释 AI 与伦理

ABC Lab

以实验心理学、心理语言学、神经科学与 AI 方法研究学习和认知

AI Ethics and Governance Lab

将可解释 AI 与伦理、公共政策研究结合

在组成员10

成员	教育背景	研究方向与经历
Haslett, DavidResearch Assistant Professor	The Chinese University of Hong Kong PhD	词义表征、大语言模型的分词与解释
Zheng, MercuryResearch Assistant Professor	University of Hong Kong PhD in Cognitive Psychology	视觉认知、眼动、EEG、人本和可解释 AI 博士导师 Janet Hsiao。
He, Dongcheng AlexPostdoctoral Researcher	—
Zhao, ChenyangPostdoctoral Researcher	—
Teng, XiaoruPhD Student	University of Hong Kong Bachelor of Social Sciences, Psychology and Chinese Language and Literature	协作学习、走神与共同注意
Qi, Ruoxi JenniferPhD Student	University of Hong Kong Bachelor of Social Sciences, Psychology	AI 行为、人类对 AI 的理解、心理语言学
Yang, Yumeng AlicePhD Student & Lab ManagerSocial Science	University of California, Los Angeles Bachelor's in Psychology The Hong Kong University of Science and Technology PhD（在读）	物体检测中的眼动模式、视觉搜索和认知障碍
Zhang, JinhanPhD StudentIIP	Johns Hopkins University Bachelor's in Computer Science and Neuroscience The Hong Kong University of Science and Technology PhD（在读）	认知科学、AI 模型机制、人本解释与概念学习
Leila KhalatbariPhD StudentIIP	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Yue ZhangPhD StudentCSE	The Hong Kong University of Science and Technology PhD（在读）

校友与去向22

成员	教育背景	研究方向与经历
Lam, Sze Man校友 · Former MPhil Student & Research Assistant · 2009-2012	—
Wong, Yetta校友 · Former Postdoc · 2010-2012	—
Cheung, Kloser校友 · Former Research Assistant · 2009-2011	—
Cheung, Kit校友 · Former Research Assistant · 2010-2011	—
Schmitz, Remy校友 · Former Postdoc · 2012-2013	—
Chen, Jing校友 · Former MPhil Student · 2012-2014	—
Galmar, Bruno校友 · Former Postdoc · 2012-2015	—
Liu, Tianyin校友 · Former PhD student · 2011-2015	—
Chung, Harry校友 · Former MPhil student · 2013-2015	—
Tso, Richie校友 · Former MPhil & PhD student · 2010-2016	—
Chuk, Tim校友 · Former PhD student · 2012-2016	—
Cheung, Tommy校友 · Former MPhil student · 2014-2016	—
Yeung, Andrew校友 · Former Full-time RA · 2015-2016	—
Zhang, Tep校友 · Former MPhil · 2015-2017	—
Chan, Cynthia校友 · Former PhD Student · 2014-2019	—
Li, Sara校友 · Former PhD Student · 2014-2017	—
Cheng, Cherry校友 · Former PhD Student · 2014-2017	—
An, Jeehye校友 · Former Full-time RA · 2019-2020	—
Kwok, Jocelyn校友 · Former PhD Student · 2020-2022	—
Fung, Herrick校友 · Former MPhil Student · 2022-2023	—
Liu, Guoyang校友 · Former Postdoc · 2022-2023	—
Anita Liao校友 · Former MPhil and Ph.D. student · 2020-2025	—

教育与履历

教育背景

1999
National Taiwan University
BS in Computer Science and Information Engineering
2002
Simon Fraser University
MSc in Computing Science
2006
University of Edinburgh
PhD in Informatics
导师 Richard Shillcock; Marielle Lange; Mark Ellison

任职经历

2005–2008
University of California, San Diego
Postdoctoral Researcher
2009–2014
University of Hong Kong
Assistant Professor of Psychology
2015–2023
University of Hong Kong
Associate Professor of Psychology
2020-10–2023-09
University of Hong Kong
Head of Psychology
2023–2024
University of Hong Kong
Professor of Psychology
2024–
The Hong Kong University of Science and Technology
Professor, Social Science and CSE
2024–
CAiRE, HKUST
Co-director, AI Ethics and Governance Lab

学术服务

计算认知科学、眼动建模与人本 XAI 的交叉研究者，EMHMM 是其持续方法主线。

指导方式与组内生活

实验室成员具有心理学、计算机科学和神经科学背景。

跨学科研究组织

研究团队使用心理物理实验、眼动、EEG、计算建模和机器学习；成员简介分别列出心理学、计算机科学及神经科学教育背景。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

Deeproute.ai（研究项目）

Deeproute.ai 研究项目
Fundamental Research on Human Robot Interaction and Psychology，2025-09–2035-08，担任 PI。

学术影响与网络关注

计算标准

院系样本分位

累计引用44P44

h-index45P45

2024–2026 论文53P53

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 379 篇 · i10-index 82 · 截至 2026-10-17

Sai-Kit YEUNG

楊世傑

Professor · 合聘与跨系教师

个人主页 · 学校档案 · 档案

实验室: Vision, Graphics and Computational Design (VGD) Group
博士毕业于: The Hong Kong University of Science and Technology · 2009
研究主线: 三维视觉与图形学；海洋 AI 与数据基础设施；计算设计与交互系统

累计引用: 7,258次
h-index: 39
2024–2026 论文: 42篇
在组成员: 32人

研究方向

三维视觉与图形学
重建、场景理解、建模、风格化与三维运动跟踪。
海洋 AI 与数据基础设施
面向珊瑚、海洋生物及生态视频建立数据集、分割、captioning 和 VLM。
计算设计与交互系统
AI 辅助设计、内容生成、human–robot interaction、VR/AR 与 integrative systems。

2024 MarineInst 将海洋图像的实例 mask 与开放描述连接，2025 继续三维几何和时序跟踪，2026 MarineEVT 转向稀疏生态事件的定位与工具辅助 VLM 推理。几何方法与海洋真实问题持续互相支持。

代表论文与近期发表

2024MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual DescriptionECCV 2024

研究问题: 通用视觉基础模型面临海洋数据分布差异、mask 冗余与缺少实例语义的问题。
核心方法: 构建含约 240 万图像和 2000 万实例 mask 的 MarineInst20M；以 binary instance filtering 处理 mask 质量，并调用 VLM 生成实例级 caption。
实验结果: 形成同时输出实例 mask 和描述的 MarineInst，作者在分割、检测、captioning 等下游任务报告较强表现和泛化。
实验条件与边界: 数据混合人工与模型标注，语义描述依赖所用 VLM。
课题组研究线: 以数据和模型共同建设海洋视觉基础设施。
核阅章节: Abstract、Introduction 片段、Conclusion

2025TrackingWorld: World-centric Monocular 3D Tracking of Almost All PixelsNeurIPS 2025

研究问题: 已有单目三维跟踪常混淆相机与物体运动，并遗漏后续帧中新出现的运动主体。
核心方法: 将稀疏二维轨迹上采样到稠密轨迹，逐帧扩展并去除重复；联合估计相机与三维坐标，得到世界坐标系轨迹。
实验结果: 在真实和合成数据上验证更准确的相机位姿、稠密二维轨迹及世界坐标三维跟踪。
实验条件与边界: 依赖输入的深度、跟踪及分割质量。
课题组研究线: 保留团队三维几何主线，并为时序场景分析提供底层工具。
核阅章节: Abstract、Introduction 片段、Conclusion

2026MarineEVT: Advancing Event-Centric Marine Video Understanding via Visual Tool ReasoningECCV 2026

研究问题: 海洋视频的信息事件稀疏、短暂且需要领域知识，常规全局摘要难以回答细粒度问题。
核心方法: 建立 2 万 video-level QA、20 个细粒度维度的 MarineEVT；EVT-R1 将任务拆成多轮视觉工具调用和推理，定位空间与时间信息。
实验结果: 作者与 11 个 VLM 比较，报告 EVT-R1 超过所比较的开源和商业模型；公开实验体现事件级任务的收益。
实验条件与边界: 结果限定于其标注与评价设置；事件语义正确性、专业审定与真实生态发现属于额外验证层。
课题组研究线: 从图像实例描述推进到海洋事件与工具化时序推理。
核阅章节: Abstract、Introduction 片段、Conclusion

2024–2026 论文目录（共 42 篇）

2026 年14 篇

2025 年15 篇

2024 年13 篇

实验室与成员

Vision, Graphics and Computational Design (VGD) Group

博士生: 14
硕士生: 10
RA、访问与其他: 8

所在单位: HKUST ISD、CSE、Ocean Science；Center for Marine Intelligence
地点: HKUST, Clear Water Bay

3D 重建与理解；计算设计；人机与人机体交互；海洋视觉与机器人

计算视觉与设计

博士、MPhil、本科生共同研究 3D、VR/AR 和内容生成

海洋研究协作

与海洋生物学家、野外生态学家和珊瑚保护研究者合作

在组成员32

成员	教育背景	研究方向与经历
Truong Quang TrungPhD StudentISD	The Hong Kong University of Science and Technology PhD（在读）
Guo XiaopengPhD StudentISD	The Hong Kong University of Science and Technology PhD（在读）
Shaun XuPhD Student	—	实验室成员页使用的姓名。
Ka Chun ShumPhD StudentCSE	The Hong Kong University of Science and Technology PhD（在读）
Ha Tan SangPhD Student · 毕业于 2023	2023 The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD（在读）	2026-10-17 官方 RPG 记录列为 Integrative Systems and Design 在读 PhD，曾于 2023 年取得 Computer Science and Engineering MPhil，均由 Sai-Kit Yeung 指导。
Yiwei ChenPhD StudentCSE	The Hong Kong University of Science and Technology PhD（在读）
Zhu YipengPhD Student · 毕业于 2024	2024 The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD（在读）	2026-10-17 官方 RPG 记录列为 Integrative Systems and Design 在读 PhD，曾于 2024 年取得同专业 MPhil，均由 Sai-Kit Yeung 指导。
Guocheng ShaoPhD StudentCSE	The Hong Kong University of Science and Technology PhD（在读）
Hanwen ZhangPhD StudentISD	The Hong Kong University of Science and Technology PhD（在读）
Yuk Kwan WongPhD Student · 毕业于 2026	2026 The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD（在读）	2026-10-17 官方 RPG 记录列为 Integrative Systems and Design 在读 PhD，曾于 2026 年取得同专业 MPhil，均由 Sai-Kit Yeung 指导。
Echo ChanMPhil Student	—	实验室成员页使用的姓名。
Wai Chung TseMPhil StudentCSE	The Hong Kong University of Science and Technology MPhil（在读）
Seoyoung JeongMPhil StudentCSE	The Hong Kong University of Science and Technology MPhil（在读）
Tuan-An ToMPhil StudentCSE	The Hong Kong University of Science and Technology MPhil（在读）
Tuong Vy Truong ThuyMPhil StudentISD	The Hong Kong University of Science and Technology MPhil（在读）
Yukai ZhangUndergraduate Student	—
Yuchen LiangUndergraduate Student	—
Ho Kiu Holdee PangUndergraduate Student	—
Carson ChanUndergraduate Student	—
Kam Wai LaiUndergraduate Student	—
RickyUndergraduate Student	—
Luk Wang LokUndergraduate Student	—
Toby LiUndergraduate Student	—
Dengyang JiangPhD StudentAMC · 艺术与机器创造力	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Zhen Qiang WuPhD StudentISD	The Hong Kong University of Science and Technology PhD（在读）
Jiahao LuPhD StudentISD	The Hong Kong University of Science and Technology PhD（在读）	共同指导
Yinzhe XuPhD StudentISD	The Hong Kong University of Science and Technology PhD（在读）
Xuan Tung NguyenMPhil StudentISD	The Hong Kong University of Science and Technology MPhil（在读）
Markus RummelMPhil StudentMarine Environmental Science	The Hong Kong University of Science and Technology MPhil（在读）	共同指导
Jiayi XuMPhil StudentISD	The Hong Kong University of Science and Technology MPhil（在读）	共同指导
Shi Long YangMPhil StudentISD	The Hong Kong University of Science and Technology MPhil（在读）
Ho ChanMPhil StudentISD	The Hong Kong University of Science and Technology MPhil（在读）

合作成员1

成员	教育背景	研究方向与经历
Tim, Yue Him WongVisiting Scholar	—

校友与去向60

成员	教育背景	研究方向与经历
Yingshu Chen校友 · PhD Student · 毕业于 2024CSE	2024 The Hong Kong University of Science and Technology PhD	Co-advised with Prof. Ajay Joneja
Huajian Huang校友 · PhD Student · 毕业于 2023CSE	2023 The Hong Kong University of Science and Technology PhD	Co-advised with Prof. Qifeng Chen
Jaeyeon Kim校友 · PhD Student · 毕业于 2024CSE	2024 The Hong Kong University of Science and Technology PhD
Ziqiang Zheng校友 · PhD Student · 毕业于 2025CSE	2025 The Hong Kong University of Science and Technology PhD
Tuan Anh Vu校友 · PhD Student · 毕业于 2024CSE	2024 The Hong Kong University of Science and Technology PhD
Fuchang Liu校友 · Postdoctoral Researcher	—	Principal Lecturer Hangzhou Normal University
Boxin Shi校友 · Postdoctoral Researcher	—	Assistant Professor Peking University
Duc Thanh Nguyen校友 · Postdoctoral Researcher Google Scholar	Ho Chi Minh University of Science BSc Asian Institute of Technology MSc University of Wollongong PhD	目标检测、分割、模式识别、机器学习与视频分析 Senior Lecturer, Deakin University
Binh-Son Hua校友 · Postdoctoral Researcher Google Scholar · GitHub GitHub 关注 3 Stars 2	2015 National University of Singapore PhD	真实感图像与三维合成、计算机图形学与视觉 VinAI · Research Scientist2020–2023 Assistant Professor, Trinity College Dublin 博士导师 Kok-Lim Low；曾在 SUTD 与 Sai-Kit Yeung、University of Tokyo 与 Toshiya Hachisuka 开展博士后研究。
Oliver Weeger校友 · Postdoctoral Researcher	—	Assistant Professor Technische Universität Darmstadt
Xuequan Lu校友 · Postdoctoral Researcher	Zhejiang University PhD	视觉计算与三维空间 AI Associate Professor and ARC Future Fellow, The University of Western Australia 曾在 Nanyang Technological University 任 Research Fellow 两年多。
Shasha Mao校友 · Postdoctoral Researcher	—	Associate Professor Xidian University
Junyan Wang校友 · Postdoctoral Researcher	—	Postdoctoral scholar Laboratory of Neuro imaging (LONI), USC
Zhe Wu校友 · Postdoctoral Researcher	—	Computer Vision Engineer DJI
Guoxuan Zhang校友 · Postdoctoral Researcher	—	Astar.ai, Inc
Tien Dung Dinh校友 · Postdoctoral Researcher	—	Postdoc research fellow Ghent University
Zhiyuan Zhang校友 · Postdoctoral Researcher	—	Assistant Professor of Practice Singapore Management University
Georges Nader校友 · Postdoctoral Researcher	—	R&D Engineer Ubisoft La Forge France
Qianwen Chao校友 · Postdoctoral Researcher	—	Lecturer Xidian University
Tian Feng校友 · PhD Student	—	Associate Professor Zhejiang University
Zhipeng Mo校友 · PhD Student	—	Senior Research Scientist Samsung Research America
Quang-Hieu Pham校友 · PhD Student	2014 Ho Chi Minh University of Science Bachelor 2020 Singapore University of Technology and Design PhD	Lyft Level 5 · Research Intern2020-02 起 Meta Reality Labs · Research Intern2020-08 起 Lyft Level 5 · Software Engineer2021-05 起 Woven by Toyota · Senior Software Engineer Senior Software Engineer, Woven by Toyota 博士导师为 Sai-Kit Yeung、Gemma Roig。
Lap-Fai (Craig) Yu校友 · PhD Student	—	Associate Professor George Mason University Co-advised with Prof. Demetri Terzopoulos (UCLA)
Noah Duncan校友 · PhD Student GitHub GitHub 关注 34 Stars 26	—	Co-founder WorkPatterns Co-advised with Prof. Demetri Terzopoulos (UCLA)
Chi-Fu Lai, William校友 · PhD Student	—	Assistant Professor Hong Kong Metropolitan University Co-advised with Prof. Chi-Wing Fu
Pallavi Mohan校友 · PhD Student	—	Senior Scientist & Solutions Architect NVIDIA Munich Co-advised with Prof. Wooi Boon Goh (NTU)
Nguyen Truong Hai校友 · MPhil Student · 毕业于 2024CSE	University of Science, VNU-HCM BSc in Computer Science 2024 The Hong Kong University of Science and Technology MPhil in CSE Northeastern University PhD（在读）	规划与预判的世界模型、第一与第三人称视频动作理解 VinAI Research · Research Resident2022-03–2022-07 Huawei Hong Kong Research Center · AI Research Engineer2024-11–2025-04 Fulbright AI Institute, Fulbright University Vietnam · Research Assistant in Computer Vision（Google-funded）2025-08–2026-08 PhD Student, FarSight Lab, Northeastern University HKUST MPhil 导师为 Sai-Kit Yeung；Northeastern 博士导师为 Lorenzo Torresani
Liang Haixin校友 · MPhil Student · 毕业于 2024ISD	2024 The Hong Kong University of Science and Technology MPhil
Van Nhan Tran校友 · MPhil Student · 毕业于 2023ISD	2023 The Hong Kong University of Science and Technology MPhil	Associate R&D Engineer Think N Kreate Ltd.
Hong Wing Pang校友 · Master / Undergraduate Student	—	Computer Vision Engineer Ficha Inc
Mashiat Lamisa校友 · Master / Undergraduate Student	—	Product Engineer Sparkmate Hong Kong HKUST President's Cup 2021
Mikaela Angelina Uy校友 · Master / Undergraduate Student 简历 · LinkedIn · GitHub · Google Scholar · X GitHub 关注 129 Stars 728	National University of Singapore Master Stanford University PhD The Hong Kong University of Science and Technology Undergraduate	三维视觉、几何处理、图形学、机器人与空间智能 NVIDIA, Learning and Perception Research · Research Scientist Google, Project Starline · Research Intern博士期间 Adobe Research · Research Intern博士期间 Autodesk AI Lab · Research Intern博士期间 Research Scientist, Learning and Perception Research, NVIDIA Stanford 博士导师 Leonidas Guibas。
Xue Li校友 · Master / Undergraduate Student	—	Software Engineer Facebook
Benjamin Kang Yue Sheng校友 · Master / Undergraduate Student	—	Programmer New Future Holdings
Rufus Wong校友 · Master / Undergraduate Student	—	Senior Software Engineer HOPE Technik
Samuel Chin校友 · Master / Undergraduate Student	—	Graduate Student MIT
Daniel Teo Guangwei校友 · Master / Undergraduate Student	—	Founder in Residence Antler
Yu Han Quek校友 · Master / Undergraduate Student	—
Erik Khanh Nguyen校友 · Master / Undergraduate Student	—	Senior Software Engineer Endowus
Sng Han Jie校友 · Master / Undergraduate Student	—	Associate Software Engineer GovTech
Charmaine Wee校友 · Master / Undergraduate Student	—	Developer Engineer A*STAR - Agency for Science, Technology and Research
Tat Lin Lee校友 · Master / Undergraduate Student	—	Consultant McKinsey & Company
JiaWang Bian校友 · Master / Undergraduate Student GitHub · Google Scholar · ORCID · Semantic Scholar GitHub 关注 374 Stars 2,464	2016 Nankai University BEng 2022 University of Adelaide PhD	空间智能、三维与四维重建、生成式 AI、世界模型 ByteDance Seed · Research Scientist Nanyang Assistant Professor, Nanyang Technological University 本科导师为 Ming-Ming Cheng；博士导师为 Ian Reid、Chunhua Shen；曾在 Oxford、MBZUAI 开展博士后研究。
Zheng Hui Er校友 · Master / Undergraduate Student	—	Senior System Analyst GSafety Technology Pte. Ltd
Lin Chen-Hsin校友 · Master / Undergraduate Student	—
Andy Luong校友 · Master / Undergraduate Student	—	Founder Slimcase.co
Kimberly Villalobos Carballo校友 · Master / Undergraduate Student	—	PhD Student MIT
Lutong (Tracy) Cheng校友 · Master / Undergraduate Student	—
Wang Fan校友 · Master / Undergraduate Student	—
Sida Yao校友 · Master / Undergraduate Student	—
Gao Xing校友 · Master / Undergraduate Student	—
Hanyao Chen校友 · Master / Undergraduate Student	—
Willam Koh校友 · Master / Undergraduate Student	—
Lingyue Ma校友 · Master / Undergraduate Student	—
Xiao Yong校友 · Master / Undergraduate Student	—
Yile Wang校友 · Master / Undergraduate Student	—
Yifan Zhou校友 · Master / Undergraduate Student	—
Yunfeng Li校友 · Master / Undergraduate Student	—
Ziwei Chen校友 · Master / Undergraduate Student	—
Yingqing He校友 · PhD Student · 毕业于 2025Individualized Interdisciplinary Program (Robotics and Autonomous Systems)	2025 The Hong Kong University of Science and Technology PhD	共同指导

教育与履历

教育背景

2003
The Hong Kong University of Science and Technology
BEng in Computer Engineering
2005
The Hong Kong University of Science and Technology
MPhil in Bioengineering
2009
The Hong Kong University of Science and Technology
PhD in Electronic and Computer Engineering
导师 Chi-Keung Tang; Oscar C. Au

任职经历

2009–2010
The Hong Kong University of Science and Technology
Postdoctoral Fellow, CSE
2010–2011
University of California, Los Angeles
Postdoctoral Scholar, Mathematics
2011–2018
Singapore University of Technology and Design
Assistant Professor
2013 Summer
Stanford University
Visiting Assistant Professor
2013–2014
MIT
Visiting Assistant Professor
2018–2024
The Hong Kong University of Science and Technology
Associate Professor, ISD
2024–
The Hong Kong University of Science and Technology
Professor, ISD / CSE / Ocean Science

学术服务

三维视觉、图形学与海洋领域 AI 的交叉研究者，代表性公开资产是连续的数据集和 foundation-model 工程。

指导方式与组内生活

团队结合视觉与图形学，并与海洋生态及保护研究者开展项目。

跨学科项目

团队自述与海洋生物学家、野外生态学家及珊瑚保护研究者合作开发视觉算法和集成系统。

业界合作与实习

合作机构: 2家
合作记录: 2条
成员产业经历: 16条

Hong Kong Tramways（研究项目）；Hong Kong Offshore Liquefied Natural Gas Terminal（研究项目）

Hong Kong Tramways 研究项目
参与 Taranis 车内城市尺度增强现实体验项目，2024–2027。
Hong Kong Offshore Liquefied Natural Gas Terminal 研究项目
参与非干扰海底勘测软体机器鱼项目，2023–2027。

成员实习与产业经历

2020-02 起
Quang-Hieu Pham · Lyft Level 5
本人主页宣布加入实习。；Research Intern
2020-08 起
Quang-Hieu Pham · Meta Reality Labs
本人主页宣布加入实习。；Research Intern
2020–2023
Binh-Son Hua · VinAI
Research Scientist
2021-05 起
Quang-Hieu Pham · Lyft Level 5
Software Engineer
2022-03–2022-07
Nguyen Truong Hai · VinAI Research
Research Resident
2024-11–2025-04
Nguyen Truong Hai · Huawei Hong Kong Research Center
AI Research Engineer
2025-08–2026-08
Nguyen Truong Hai · Fulbright AI Institute, Fulbright University Vietnam
Research Assistant in Computer Vision（Google-funded）
Mikaela Angelina Uy · Google, Project Starline
求学阶段：PhD at Stanford
本人主页明确列为 Stanford 博士期间的 research internship。
Mikaela Angelina Uy · Adobe Research
求学阶段：PhD at Stanford
本人主页明确列为 Stanford 博士期间的 research internship。
Mikaela Angelina Uy · Autodesk AI Lab
求学阶段：PhD at Stanford
本人主页明确列为 Stanford 博士期间的 research internship。
Quang-Hieu Pham · Woven by Toyota
Senior Software Engineer
Mikaela Angelina Uy · NVIDIA, Learning and Perception Research
Research Scientist
博士期间
Mikaela Angelina Uy · Google, Project Starline
Research Intern
博士期间
Mikaela Angelina Uy · Adobe Research
Research Intern
博士期间
Mikaela Angelina Uy · Autodesk AI Lab
Research Intern
JiaWang Bian · ByteDance Seed
Research Scientist

学术影响与网络关注

计算标准

院系样本分位

累计引用60P60

h-index61P61

2024–2026 论文64P64

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 178 篇 · i10-index 78 · 截至 2026-10-17

Tristan C. BRAUD

Assistant Professor · 合聘与跨系教师

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: XRIM Lab
博士毕业于: Université Grenoble Alpes · 2016
研究主线: Virtual reality (VR) / augmented reality (AR)；Human-computer interaction；Ubiquitous and pervasive computing；Systems thinking and design

累计引用: 2,895次
h-index: 26
2024–2026 论文: 32篇
在组成员: 12人

研究方向

Virtual reality (VR) / augmented reality (AR)
涵盖移动增强现实、全景视觉定位、虚拟交互界面以及大范围物理-数字元宇宙环境的构建与系统实现。
braudt.people.ust.hk · arXiv
Human-computer interaction
包含智能穿戴交互、基于大语言模型的交互式数字叙事创作工具、虚拟现实创意辅助工具以及人机协同创作系统开发。
ACM DL
Ubiquitous and pervasive computing
涉及移动边缘计算、车载增强现实感知、边缘服务器辅助的低延迟视频流传输与跨设备计算卸载技术。
braudt.people.ust.hk
Systems thinking and design
专注于面向元宇宙与普适计算的人机系统设计、软硬件端到端协同框架，以及结合艺术科技的软硬件部署实践。
braudt.people.ust.hk

从移动 XR 与边缘系统的研究背景出发，2024 年 360Loc 补充全景相机跨设备定位基准；2025 年 GS-CPR 使用 3DGS 和现有匹配模型细化相机姿态；2026 年 Orchid-Creator 用故事图支持 LLM 叙事创作。空间计算与交互创作两条方向同时存在。

跨设备空间计算与交互原型

360Loc 结合真实采集平台和数据基准；GS-CPR 集成已有几何表示与匹配模型；Orchid-Creator 结合可运行工具、两项用户研究和艺术家案例。公开工作显示系统与应用问题导向。

代表论文与近期发表

2024360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device QueriesCVPR

研究问题: 全景参考图像与不同视场设备的查询图像之间存在跨设备定位问题。
核心方法: 以 360° 相机与 lidar 建立姿态真值，使用虚拟相机生成低视场查询，并适配特征匹配与姿态回归方法。
实验结果: 在重复、对称的大尺度场景中，研究展示全景定位的稳健性及虚拟相机策略的效果。
实验条件与边界: 结果依赖所采环境、设备和真值流程；完整户外长期变化的适用性需要继续验证。
课题组研究线: 给 XR 空间定位提供实际采集流程与可复用基准。
核阅章节: Abstract（完整）、Introduction（完整）、Conclusion（完整）

2025GS-CPR: EFFICIENT CAMERA POSE REFINEMENT VIA 3D GAUSSIAN SPLATTINGICLR

研究问题: 已有姿态回归结果需要兼顾精度和测试时细化成本。
核心方法: 使用预训练场景 3DGS 渲染图像和深度，结合 MASt3R 建立匹配，再完成一次姿态细化。
实验结果: 所测室内外基准上，相比 NeRF 优化式方法获得更好的精度与运行时间。
实验条件与边界: 细化依赖预训练场景 3DGS 和粗姿态估计；匹配器可直接复用，场景建模仍有训练成本。
课题组研究线: 在空间定位主线上复用新的几何表示和匹配模型。
核阅章节: Abstract、Introduction（节选）、Conclusion（已提供部分）

2026Orchid-Creator: An Authoring Tool Supporting LLM-Driven Interactive Narrative CreationCHI

研究问题: LLM 交互叙事需要兼顾创作者控制、分支一致性与结果变化。
核心方法: 用卡片定义场景和转移条件，以故事图组织交互，并提供即时测试工具。
实验结果: 8 位作者的可用性研究与 20 人比较研究评估其相对 Twine、AI Dungeon 的结构化创作支持，另有艺术家案例。
课题组研究线: 将交互系统设计拓展到 LLM 驱动的叙事创作。
核阅章节: Abstract、Introduction、系统设计与用户研究（公开节选）

2024–2026 论文目录（共 32 篇）

2026 年7 篇

2025 年13 篇

2024 年12 篇

实验室与成员

XRIM Lab

博士生: 8
硕士生: 3
博士后: 1

所在单位: HKUST, Clear Water Bay
地点: HKUST ISD, Room 5590

扩展现实、沉浸式媒体、元宇宙、普适和云计算、人本系统设计。

在组成员12

成员	教育背景	研究方向与经历
Kirill ShatilovPostdoc GitHub GitHub 关注 7 Stars 5	2026 HKUST PhD
Siyan HuPhD	—
Xiaozhu HuPhD	Beijing University of Posts and Telecommunications 本科, Industrial Design 2022 Tsinghua University 硕士, CS · 导师 Chun Yu	GUI 可用性与无障碍、普适感知、老年照护机器人 Tsinghua Future Lab · Research intern2018、2019 Summer 与 Mingming Fan 共同指导
Zhen WuPhD Google Scholar · GitHub GitHub 关注 2 Stars 1	—	交互叙事、材料交互、声音交互；Orchid 创作工具
Yukun ZhaoPhD	—
Yuchao ZhuoPhD	—
King Fung Leo LeeMPhil	—
Cho Kiu Anya LeungMPhil	—
Sum Yi Christine MaMPhil	—
Xuetong WangPhD	—	共同指导；Individualized Interdisciplinary Program
Simin YangPhD	—	共同指导；Individualized Interdisciplinary Program
Junjie ZhangPhD	—	共同指导；Individualized Interdisciplinary Program

校友与去向12

成员	教育背景	研究方向与经历
Ahmad Alhilal校友 · Postdoc · 2024 GitHub GitHub 关注 7 Stars 32	—	自适应实时流、云渲染 XR、可扩展视觉计算 2024-12 起 Aalto University 博士后
Turzo Bose校友 · MPhil · 2022–2026	—
Huajian Huang校友 · Postdoc · 2024–2026 GitHub GitHub 关注 74 Stars 951	Sun Yat-Sen University BEng 2023 HKUST PhD, Computer Science · 导师 Sai-Kit Yeung	全景感知、视觉定位、建图、SLAM、3D vision
Serkan Kumyol校友 · MPhil · 2023–2026	—
Changkun Liu校友 · PhD · 2021–2026 LinkedIn · GitHub · Google Scholar GitHub 关注 17 Stars 142	2017–2021 Shanghai Jiao Tong University BEng, Electronic Science and Technology 2021–2026 HKUST PhD, CSE	视觉定位、3D 重建、AR/VR Intel Asia-Pacific R&D · 研发经历2020-06–2021-05 Ant Research · Research Intern2025-01–2025-06 Google · Student Researcher2026-01–2026-04 2024-04–08 访问 University of Oxford Active Vision Laboratory
Vi Jun Sean Yong校友 · MPhil · 2022–2025	—
Lin Chen校友 · PhD · 2025	—	共同指导；Computer Science and Engineering
Ehsan-ul Haq校友 · PhD · 2023	—	共同指导；Computer Science and Engineering
Kit Yung Lam校友 · PhD · 2023	—	共同指导；Individualized Interdisciplinary Program
Chun Ho Park校友 · MPhil · 2023	—	共同指导；Computer Science and Engineering
Sergei Sorokin校友 · MPhil · 2023	—	共同指导；Computer Science and Engineering
Anish Krishna Vallapuram校友 · MPhil · 2023	—	共同指导；Computer Science and Engineering

教育与履历

教育背景

Politecnico di Torino
MSc
Grenoble INP Phelma / Ensimag
MSc / Engineering
2016
Université Grenoble Alpes
PhD, Computer Science
导师 Martin Heusse；Guillaume Urvoy-Keller

任职经历

2017-10
Aalto University
Research visit，Matti Siekkinen
2019-06
University of Helsinki
Research visit，Pan Hui
HKUST ISD / CSE
Assistant Professor；XRIM Lab Director

学术服务

研究横跨 XR 系统、视觉定位与创作支持工具，近三年有 CVPR、ICLR 和 CHI 的具体工作。学术位置以这些研究产物和有来源的领域服务描述。

博士论文研究非对称链路上的 TCP，2016 年 7 月 11 日答辩；之后研究转向 XR、边缘系统与人机交互。

业界合作与实习

合作机构: 3家
合作记录: 3条
成员产业经历: 4条

组内视觉定位与 XR 研究连接企业研究岗位。Changkun Liu 在博士阶段先后进入 Ant Research 与 Google，并在 Android XR 分享相机重定位和三维重建工作。

Google / Android XR 博士研究经历
Changkun Liu 2026-01–04 任 Student Researcher，2025-06 在 Android XR 做邀请报告。
Ant Research 博士研究实习
Changkun Liu 2025-01–06 在蚂蚁研究院实习。
Hong Kong Tramways 联合项目
2024 年起主持 Taranis，开发车载城市级增强现实体验，项目由 Hong Kong Tramways 与 ITF 支持。

成员实习与产业经历

2018、2019 Summer
Xiaozhu Hu · Tsinghua Future Lab
Research intern
2020-06–2021-05
Changkun Liu · Intel Asia-Pacific R&D
研发经历
2025-01–2025-06
Changkun Liu · Ant Research
博士阶段 Research Intern。；Research Intern
2026-01–2026-04
Changkun Liu · Google
博士阶段 Student Researcher。；Student Researcher

学术影响与网络关注

计算标准

院系样本分位

累计引用39P39

h-index38P38

2024–2026 论文56P56

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 151 篇 · i10-index 54 · 截至 2026-10-17

Xiaomeng LI

李小萌

Associate Professor · 合聘与跨系教师

个人主页 · 学校档案 · 档案

实验室: XMed Lab
博士毕业于: The Chinese University of Hong Kong · 2019
研究主线: 跨模态医学图像蒸馏与视网膜疾病诊断；区域感知多模态大语言模型与可解释生物医学系统；开放环境视觉语言目标检测与口腔影像诊断；多尺度高分辨率多模态时空推理与可解释自动驾驶；时空视频重构与超声心动图心脏疾病评估；稀疏视角三维医学影像几何重构与辐射场建模；弱监督、半监督与无监督领域自适应医学图像分割；多视角多模态语言视觉医疗基础模型与健康预测

累计引用: 9,753次
h-index: 37
2024–2026 论文: 112篇
在组成员: 32人

研究方向

跨模态医学图像蒸馏与视网膜疾病诊断
研究眼底照片与 OCT 之间的知识迁移。MultiEYE 将非配对训练、共享疾病标签和仅眼底测试组织成基准，以疾病概念和图像关系进行蒸馏。
区域感知多模态大语言模型与可解释生物医学系统
研究影像区域与诊断文字的对应关系。MedRegA 组织区域识别、检测和定位报告任务；AttTok 用结构化属性 token 改善临床概念的视觉语言对齐。
开放环境视觉语言目标检测与口腔影像诊断
研究口内照片中的骨开窗与骨开裂检测。FD-SOS 在开放集检测框架中加入牙位特定匹配和条件对比去噪，评估数据有限、标注不完整时的检测方法。
多尺度高分辨率多模态时空推理与可解释自动驾驶
研究高分辨率视觉细节与视频时序信息的分工。HiLM-D 将空间和时间处理分流，应用于驾驶风险物体定位及建议生成。
时空视频重构与超声心动图心脏疾病评估
研究超声心动视频中的形态和运动变化。CardiacNet 以形变表示和视频重构学习异常，分别在公开基准和作者收集的 PAH、ASD 数据上评估。
稀疏视角三维医学影像几何重构与辐射场建模
公开项目包括术中稀疏 X 光驱动的三维 CT 重构，以及低剂量 CT 恢复中的解剖结构表示。项目立项证明研究方向，具体性能与部署进展需要对应论文和项目结果支持。
系内主页
弱监督、半监督与无监督领域自适应医学图像分割
研究降低像素级标注需求的方法，包括半监督学习、领域自适应、提示学习及结构化分割。学校档案列 CaPro 的单张未标注图像设置，完整实验仍待阅读。
系内主页
多视角多模态语言视觉医疗基础模型与健康预测
学校项目记录覆盖对比超声中的卵圆孔未闭辅助诊断、儿童早期正畸的多视角语言视觉工具，以及腹腔镜手术机器人的视觉感知。项目目标、模型评估与临床效果分别记录。

2024 年的 MultiEYE、FD-SOS 与 CardiacNet 分别处理缺失模态、牙科小样本检测、心脏时空异常；2025 年 MedRegA 把区域定位引入医学多模态模型，HiLM-D 将视觉细节与时序推理分离；2026 年 AttTok 继续处理医学属性表示和跨模态对齐。共同问题是模型如何保留对任务重要的结构与语义。

领域问题、结构先验与数据基准结合

MultiEYE 同时定义非配对训练问题和数据基准，CardiacNet 引入心脏形变表示，MedRegA 将具体影像区域与语言关联。这些工作支持一条从临床任务约束出发改造表示与训练目标的路线。

代表论文与近期发表

2024MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus ImagesIEEE Transactions on Medical Imaging (IEEE TMI)

研究问题: 严格配对的眼底与 OCT 数据在训练和应用中常常难以同时取得。
核心方法: 建立非配对训练、仅眼底测试的设置，提供 MultiEYE 基准；OCT-CoDA 用图像与疾病概念关系将 OCT 知识蒸馏至眼底模型。
实验结果: 论文报告多疾病分类中的性能改善，并通过消融与可视化解释跨模态迁移。
实验条件与边界: 评估采用共享疾病标签空间。
课题组研究线: 延续医学模型在数据与设备受限条件下利用互补信息的路线。
核阅章节: Abstract、Introduction（节选）、Conclusion

2024FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral ImagesMedical Image Computing and Computer Assisted Intervention (MICCAI)

研究问题: 从口内照片发现骨开窗与骨开裂，可降低对 CBCT 成像的依赖。
核心方法: 在开放集检测框架中加入条件对比去噪 CCDN 与牙位特定匹配 TMA，将牙科语义用于检测。
实验结果: 论文在其数据和比较条件下报告，相同精确率时召回率比牙科专业人员高 35%。
实验条件与边界: 这是特定数据集评估。
课题组研究线: 将领域结构用于基础检测器的训练与匹配过程。
核阅章节: Abstract、Introduction（节选）、Conclusion

2024CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram VideosEuropean Conference on Computer Vision (ECCV)

研究问题: 心脏异常同时体现为局部形态和心动时序变化，单纯分类特征难以充分表达。
核心方法: 以视频重构学习异常，使用 Consistency Deformation Codebook 与 Consistency Deformed-Discriminator，并建立 PAH、ASD 基准。
实验结果: 在 CAMUS、EchoNet 和作者数据集的三类评估任务上报告领先结果。
实验条件与边界: 结论将更细粒度的症状分级与病灶可视化列为后续研究，当前证据集中在所测任务。
课题组研究线: 把解剖结构、运动规律和生成重构连接为医学视频表示。
核阅章节: Abstract、Introduction（节选）、Conclusion

2025Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical TasksInternational Conference on Learning Representations (ICLR)

研究问题: 医学多模态模型生成诊断文字时，需要明确文字对应的影像区域。
核心方法: 定义区域识别、检测和定位报告任务，构建 MedRegInstruct，训练双语区域感知模型 MedRegA。
实验结果: 论文报告覆盖八种影像模态，在区域任务、VQA、报告与分类评估中取得改善。
课题组研究线: 从专门医学视觉任务扩展到有区域依据的通用医学模型。
核阅章节: Abstract、Introduction（节选）、Conclusion

2025HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous DrivingInternational Journal of Computer Vision (IJCV)

研究问题: 驾驶风险物体定位与建议需要高分辨率细节，常见多模态视觉编码器存在感知瓶颈。
核心方法: 分离低分辨率视频的时序推理流和单帧高分辨率空间流，使用轻量 P-Adapter 融合。
实验结果: 摘要报告 DRAMA-ROLISP 上 BLEU-4 改善 3.7%、检测 mIoU 改善 8.7%，并在 Shikra-RD 测试泛化。
课题组研究线: 展示视觉细节与时序信息分离的方法在医学之外的应用。
核阅章节: Abstract、Introduction（节选）

2026AttTok: Marrying Attribute Tokens with Generative Pre-trained Vision-Language Models towards Medical Image UnderstandingICLR 2026

研究问题: 医学属性以普通文本 token 编码时，视觉与语言表示容易混淆相近诊断概念。
核心方法: 引入属性 token 与 attribute-centric embedding books，配合 ACC adapter 和 ACM loss 对齐临床属性。
实验结果: 在五个医学分类基准及三个 VQA 数据集上报告判别准确性和医学推理改善。
实验条件与边界: 证据为基准任务评估；属性表外的疾病、部署条件和临床可靠性需要进一步研究。
课题组研究线: 延续 MedRegA 的医学语义定位问题，将对齐单位推进至结构化属性。
核阅章节: Abstract（完整）、Introduction（完整）、Conclusion（完整）

2024–2026 论文目录（共 112 篇）

2026 年39 篇

2025 年41 篇

2024 年32 篇

实验室与成员

XMed Lab

博士生: 25
硕士生: 2
博士后: 4
RA、访问与其他: 1

所在单位: HKUST, Clear Water Bay
地点: HKUST ECE, Room 2524

医学影像、可信与高效机器学习、视觉语言模型；以疾病筛查、临床影像重建和诊疗任务组织研究。

在组成员32

成员	教育背景	研究方向与经历
Bin PuPostdoc	2022 Hunan University PhD, Computer Science	医学图像、计算机视觉、超声成像 2021–2022 访问 NTU AI.R Lab 与 CBCR Lab
Hui TangPostdoc · 2023-09– X · GitHub · Google Scholar · ORCID · OpenAlex GitHub 关注 54 Stars 55	2014–2018 South China University of Technology BE, Information Engineering 2018–2023 South China University of Technology PhD, Information and Communication Engineering · 导师 Kui Jia	少样本学习、域适应、多模态融合、模型解释、医学影像 DexForce Technology · Research Intern2022-02–2022-05
Meng LanPostdoc	—
Zhuangzhuang ChenPostdoc · 2024–	2020– Shenzhen University 博士研究, Computer Science and Software Engineering	模型校准、异常检测、主动学习、裂缝识别与分割
Ningshu LiPhD · 2024 Fall–	—
Shanshan SongPhD · 2024 Fall–	—
Honglong YangPhD · 2024 Fall–	—
Jixiang ChenPhD · 2023 Fall–	—
Marawan ElbatelPhD · 2023 Fall– CV · Google Scholar · GitHub · LinkedIn GitHub 关注 65 Stars 75	2021 Cairo University BSc, Computer Engineering 2023 University of Girona；University of Cassino；University of Burgundy Erasmus Mundus Master, Medical Imaging · 导师 Robert Martí 2023-09– The Hong Kong University of Science and Technology PhD, Computer Engineering（在读） · 导师 Xiaomeng Li	临床多模态智能体、医学影像、数据高效学习、联邦学习与跨机构验证 University of Bradford, AIRe Lab · Research Intern2020-09–2021-02导师 Daniel Neagu；COVID-19 数据研究。 Dell Technologies · BSc Researcher2021-03–2021-07产业资助的本科毕业论文，研究可扩展视频监控与接触追踪。 HKPFS；2025 年任 MICCAI SIG AFRICAI 副主席
Jiarong GuoPhD · 2023 Fall–	—
Yi QinPhD · 2023 Fall– Google Scholar · X · LinkedIn	South China University of Technology BEng, Automation	心脏医学影像、多模态学习、生成模型与可信医疗 AI
Haonan WangPhD · 2023 Fall–	—
Lehan WangPhD · 2023 Fall–	—
Chuang ZhaoPhD · 2024-12– GitHub · Google Scholar · DBLP · ORCID · OpenAlex DBLP 近三年 29 OpenAlex 近三年 38 引用 370 h-index 8 GitHub 关注 70 Stars 33	—	AI for Science、agentic modeling、information retrieval；healthcare、generative recommendation、LLM reasoning、RAG NetEase · Research Intern2020-12–2022-05 Lenovo AI Lab · Research Intern2022-05–2023-08 Xiaomeng Li 指导，Xiaofang Zhou 共同指导
Qixiang ZhangPhD · 2023 Fall–	—
Yao DuPhD · 2022 Fall–	—
Zheang HuaiPhD · 2022 Fall–	—
Tianqi XiangPhD · 2022 Fall–	—
Bodong DuPhD	—	曾在本组访问；现列官方在读博士
Xuanqi HuangPhD	—	曾在本组访问；现列官方在读博士
Chenchang HuPhD	—	曾在本组访问；现列官方在读博士
Kabir MuhammadVisiting student · 2025-02–	—
Lingfeng HePhD	—
Yiming HuangPhD	—
Jingyu LuPhD	—
Chi WenPhD	—
Zhipeng XuPhD	—
Siqi WangPhD	—
Yuchen WangPhD	—
Xinrui ZhouPhD	—
Sungjun ChoMPhil	—
Bowen LiuMPhil	—

校友与去向19

成员	教育背景	研究方向与经历
Xinpeng Ding校友 · PhD / Postdoc · 2021-09–2026-01 Google Scholar · GitHub GitHub 关注 0 Stars 0	2014–2018 Xidian University BE, Software Engineering 2018–2021 Xidian University ME, Information and Communication Engineering · 导师 Xinbo Gao；Nannan Wang 2021–2025 HKUST PhD, ECE · 导师 Xiaomeng Li	具身 AI、视频理解、多模态大模型、医学图像 Alibaba DAMO Academy · Research Intern2020-07–2021-07 Huawei Noah’s Ark Lab · Research Intern2024-05–2025-05 2026-02 起西安电子科技大学杭州研究院 Professor 2025-08–2026-01 为 HKUST 博士后
Yi Li校友 · PhD · 2022–2026	—
Hualiang Wang校友 · PhD · 2022–2026 LinkedIn · GitHub · Google Scholar · Semantic Scholar S2 近三年 4 引用 692 h-index 12 GitHub 关注 14 Stars 19	2022 Zhejiang University MSc · 导师 Haoji Hu；Zuozhu Liu 2026 HKUST PhD · 导师 Xiaomeng Li	计算机视觉与医学影像 SenseTime · Research Intern2020-12 Alibaba DAMO Academy · Research Intern2021-05
Xinyue Xu校友 · PhD · 2022–2026 Google Scholar · LinkedIn · GitHub GitHub 关注 10 Stars 1	Australian National University Bachelor of Advanced Computing, Honours · 导师 Amanda Barnard；Amanda Parker 2026-07 HKUST PhD · 导师 Xiaomeng Li	模型鲁棒性、可解释性、AI safety Pivotal Research · AI Safety Fellow2026 CUHK 博士后，合作导师 Weiyang Liu、Pheng-Ann Heng；Pivotal AI Safety Fellow HKPFS；曾访问 Cambridge，导师 Adrian Weller、Weiyang Liu
Jiewen Yang校友 · PhD · 2022–2026	—
Yiqun Lin校友 · PhD · 2025	—	University College London 博士后
Huimin Wu校友 · PhD · 2024	—	Beijing Institute for General Artificial Intelligence 共同指导
Weihang Dai校友 · PhD · 2023	—	Biotech startup 共同指导
Benteng Ma校友 · RA	—	The Hong Kong Polytechnic University 博士后
Ce Wang校友 · Postdoc	—	Sun Yat-Sen University Assistant Professor
Qiang Zhai校友 · Postdoc	—	Sichuan Agricultural University Associate Professor
Qinmin Zheng校友 · Postdoc	—	Beihang University Associate Professor
Sucheng Ren校友 · RA · 2022 Summer 简历 · Google Scholar · GitHub GitHub 关注 123 Stars 1,430	South China University of Technology BSc South China University of Technology MSc · 导师 Shengfeng He 2023– Johns Hopkins University PhD, CS · 导师 Alan Yuille；Cihang Xie	计算机视觉、视觉语言模型、视频理解 Apple · Research Intern ByteDance Seed · Research Intern Microsoft Research Asia · Research Intern Johns Hopkins University PhD
Jingwen Yang校友 · UROP · 2021–2022	HKUST BEng, CS	UCLA Master
Yiduo Yu校友 · FYP · 2021–2022 简历 · GitHub · LinkedIn GitHub 关注 5 Stars 1	2018–2022 HKUST BSc, CS；Minor in Business 2022–2024 Carnegie Mellon University Master of Computational Data Science	Carnegie Mellon University Master
Yiwen Zou校友 · FYP · 2021–2022	HKUST BEng, CS	UC San Diego Master
Xiaoxiao Liang校友 · MSc · 2021	—	HKUST (Guangzhou) PhD
Huifeng Yao校友 · MPhil · 2024	—
Hanwei Fan校友 · MPhil · 2023	—	共同指导

教育与履历

教育背景

2019
The Chinese University of Hong Kong
PhD, Computer Science and Engineering
导师 Pheng-Ann Heng；Chi-Wing Fu

任职经历

HKUST ECE / CSE
Associate Professor
HKUST Center for Medical Imaging and Analysis
Associate Director
Stanford University
Postdoctoral Research Fellow，合作导师 Lei Xing

学术服务

研究集中在医疗视觉、多模态表示和医学基础模型。学校研究档案列 Associate Professor，CSE 目录及个人主页仍列 Assistant Professor，当前职称存在来源差异。其领域服务与医学图像分析中心职务提供可核验的学术位置依据。

指导方式与组内生活

研究围绕临床影像和诊疗问题展开，课题同时连接 ECE、CSE、医生、医疗设备和算法研究人员。博士、博士后、访问学生与本科项目形成多层次团队。

业界合作与实习

合作机构: 6家
合作记录: 6条
成员产业经历: 13条

研究覆盖医疗器械、手术机器人、骨科植入物和工业检测。学校项目目录列出与三坛医疗、Transcend、Koln 3D、RaSpect 和 Inston 的合作。

Hangzhou Santan Medical Technology 联合项目
2026 年起主持腔镜手术机器人的高临场感实时视觉感知项目，与 Tim Cheng 合作。
Guangzhou Transcend Information Technology 联合项目
2025 年起主持基于右心声学造影的卵圆孔未闭 AI 诊疗平台。
Koln 3D Medical Manufacture 联合项目
2023 年起主持 Auto-Bone，从 X-ray 自动重建三维模型并支持骨科植入物 3D 打印。
RaSpect Intelligence Inspection 联合项目
2023–2025 参与数据有限条件下的建筑外墙缺陷检测模型项目。
Suzhou Inston Technology 联合项目
2024–2025 参与磁电随机存取存储器的存算一体系统项目。
Huawei Noah’s Ark Lab 博士研究实习
Xinpeng Ding 在 2024-05–2025-05 进行研究实习，随后博士毕业、任本组博士后，2026-02 加入西安电子科技大学杭州研究院。

成员实习与产业经历

2020-07–2021-07
Xinpeng Ding · Alibaba DAMO Academy
Research Intern
2020-09–2021-02
Marawan Elbatel · University of Bradford, AIRe Lab
Research Intern · 导师 Daniel Neagu；COVID-19 数据研究。
2020-12–2022-05
Chuang Zhao · NetEase
Research Intern
2020-12
Hualiang Wang · SenseTime
Research Intern
2021-03–2021-07
Marawan Elbatel · Dell Technologies
BSc Researcher · 产业资助的本科毕业论文，研究可扩展视频监控与接触追踪。
2021-05
Hualiang Wang · Alibaba DAMO Academy
Research Intern
2022-02–2022-05
Hui Tang · DexForce Technology
Research Intern
2022-05–2023-08
Chuang Zhao · Lenovo AI Lab
Research Intern
2024-05–2025-05
Xinpeng Ding · Huawei Noah’s Ark Lab
HKUST 博士期间的研究实习；2025 年博士毕业。；Research Intern
2026
Xinyue Xu · Pivotal Research
AI Safety Fellow
Sucheng Ren · Apple
Research Intern
Sucheng Ren · ByteDance Seed
Research Intern
Sucheng Ren · Microsoft Research Asia
Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用70P70

h-index58P58

2024–2026 论文88P88

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 281 篇 · i10-index 84 · 截至 2026-10-17

GitHub · xmengli个人账号

关注者: 281人
Stars: 737
公开仓库: 13

GitHub · xmed-lab实验室组织账号

关注者: 311人
Stars: 2,862
公开仓库: 113

Zili MENG

孟子立

Assistant Professor · 合聘与跨系教师

个人主页 · 学校档案 · 档案

实验室: SPARK Lab
博士毕业于: Tsinghua University · 2019–2023
出生与年龄: 1999 年 11 月生 · 26 岁
研究主线: Real-time Intelligence & Low-Latency Video Streaming；Computer Networks & Transport Protocols；LLM Systems & Edge Intelligence

累计引用: 1,334次
h-index: 13
2024–2026 论文: 40篇
在组成员: 8人

研究方向

Real-time Intelligence & Low-Latency Video Streaming
研究云游戏、视频会议与 VR/MR 的低延迟传输。通过应用、传输与网络机制协同，降低突发丢包、帧长变化和排队造成的交互延迟，并平衡 QoE 与带宽成本。
系内主页
Computer Networks & Transport Protocols
研究拥塞控制、网络公平性、端到端测量与 pacing。在共享瓶颈下比较完整应用栈，分析缓冲区和发包调度如何影响竞争结果。
系内主页
LLM Systems & Edge Intelligence
主页新增 AI 眼镜 xg.glass、WiCi 和端云协同交互方向。相关项目把计算资源、无线通信与应用响应共同纳入系统设计，具体论文仍需逐篇阅读。
系内主页

Hairpin 把初传、重传和冗余共同优化；Tooth 处理帧长变化导致的 FEC 失配；ACE 进一步连接编码突发与发送端 pacing。Prudentia 则用真实在线服务竞争研究网络公平性。这些工作围绕端到端交互体验形成方法与系统的联系，主页近期新增 AI 眼镜、WiCi 和视频 AI 应用。 2026 年 Law 进一步把队列结构、速率和重传联合控制推进至 Wi-Fi 链路层。

端到端网络系统与实测

Hairpin、Tooth 与 ACE 都同时讨论应用体验和传输机制，并包含原型或现网评估；Prudentia 强调完整应用栈的行为。论文支持跨层系统和实测导向，具体共同署名贡献需按各论文作者说明理解。

代表论文与近期发表

2024Hairpin: Rethinking Packet Loss Recovery in Edge-based Interactive Video StreamingUSENIX NSDI 2024

研究问题: 交互式视频需要同时控制帧截止期违约与丢包恢复带宽。
核心方法: 在边缘交互流中区分初传与重传的冗余策略，以 MDP 联合选择多轮数据、重传和冗余包。
实验结果: 生产部署评估报告，相对比较方案平均降低 40% 带宽成本和 32% 截止期违约率。
实验条件与边界: 收益对应边缘网络和所测负载；更大 RTT、不同流量模式需单独验证。
课题组研究线: 将端到端截止期约束与传输层恢复机制共同建模。
核阅章节: Abstract（完整）、Introduction（完整）、Conclusion（完整）

2024Prudentia: Findings of an Internet Fairness WatchdogACM SIGCOMM 2024

研究问题: 不同拥塞控制及应用控制环共同作用，单一协议的公平性难以代表真实服务竞争。
核心方法: 构建在线服务公平性测量平台，在共享瓶颈下比较完整服务，以 max-min fair share 为参照。
实验结果: 被挤压服务平均得到公平份额的 72%；部分竞争场景只得到 16%。
实验条件与边界: 结论针对观测服务、拓扑与测量条件；闭源应用内部因果机制仍需进一步定位。
课题组研究线: 提供完整网络应用栈的测量视角，与其他传输优化工作互补。
核阅章节: Abstract、Introduction（节选）、Conclusion（完整结论）

2025Tooth: Toward Optimal Balance of Video QoE and Redundancy Cost by Fine-Grained FEC in Cloud Gaming StreamingUSENIX NSDI 2025

研究问题: 云游戏帧长差异使粗粒度 FEC 同时产生冗余浪费和交互卡顿。
核心方法: 先分析六万余会话，再以兼顾帧长与网络动态的双模块策略逐帧设置 FEC 冗余。
实验结果: 现场测试报告卡顿率下降 40.2%–85.2%，视频码率提高 11.4%–29.2%，带宽成本下降 54.9%–75.0%。
实验条件与边界: 各区间对应论文的不同比较方案及条件；会话测量规模与线上部署样本应分别理解。
课题组研究线: 把丢包恢复设计细化到应用帧粒度，补充 Hairpin 的多轮传输视角。
核阅章节: Abstract、Introduction（节选）、Conclusion（完整结论）

2025ACE: Sending Burstiness Control for High-Quality Real-time CommunicationACM SIGCOMM 2025

研究问题: 突发编码帧进入平滑发送队列，容易形成发送端 pacing 的长尾时延。
核心方法: ACE-N 调整 token pacer 桶大小；ACE-C 通过自适应编码复杂度平滑帧大小，联合管理编码和发送突发。
实验结果: 轨迹仿真与真实实验中，第 95 百分位端到端时延最多降低 43%，同时维持所测视觉质量。
实验条件与边界: 结果受编码器、网络和计算预算影响，编码端复杂度变化的成本需要在目标设备上验证。
课题组研究线: 在同一实时通信目标下，将编码计算与网络发送过程共同设计。
核阅章节: Abstract、Introduction（节选）、Conclusion（完整结论）

2026Law: Towards Consistent Low Latency in 802.11 Home NetworksUSENIX NSDI 2026

研究问题: Wi-Fi 最后一跳的多层队列、重试与速率自适应共同产生低延迟视频的长尾抖动。
核心方法: 在 OpenWiFi 上合并队列管理，以每次传输机会为粒度联合控制速率、重传与时限，利用上层视频对少量丢包的容忍。
实验结果: 作者报告相对所测基线，第 99.9 百分位包延迟下降 75.3%–83.2%，丢包率控制在 1% 以下；第 99 百分位帧交付延迟下降 50.6%–70.3%。
实验条件与边界: 原型和收益对应所测 OpenWiFi、WebRTC 及网络条件。低 RTT 与一定丢包容忍是主要设计前提；AQM 整合和不同丢包敏感业务需要分别评估。
课题组研究线: 延续 Hairpin、Tooth 与 ACE 的端到端体验目标，将优化边界进一步推进至无线链路层。
核阅章节: Abstract（完整）、Introduction（完整）、Conclusion（完整）、Discussion（节选）

2024–2026 论文目录（共 40 篇）

2026 年19 篇

2025 年10 篇

2024 年11 篇

实验室与成员

SPARK Lab

博士生: 6
硕士生: 1
RA、访问与其他: 1

所在单位: HKUST, Clear Water Bay
地点: HKUST, Academic Building, Room 2441

实时通信、网络系统、LLM systems，以及编码、传输、无线链路和交互应用的协同设计。

在组成员8

成员	教育背景	研究方向与经历
Wei LiPhD · 2024 Spring– Google Scholar · GitHub GitHub 关注 0 Stars 0	Hangzhou Dianzi University BEng, CS Tsinghua University MEng, CS · 导师 Fengyuan Ren	实时通信、网络系统、动态二进制翻译
Jiayang XuPhD · 2024 Fall–	Peking University BSc, CS
Yibin ShenPhD · 2024 Fall– GitHub GitHub 关注 2 Stars 0	2020–2024 Southeast University BEng, CS	无线网络、视频流传输、AI 系统 Huawei, Data Communication · Information engineer intern2023-06–2023-09
Hua MengPhD · 2024 Fall– Google Scholar · LinkedIn · GitHub GitHub 关注 2 Stars 2	Nanjing University BSc, CS 2021 HKUST MSc, Big Data Technology	实时通信、VR 通信、网络架构 Kuaishou · 视频与音频编辑工程2021–2024 Google · 网络与数据中心实习 Microsoft · 网络与数据中心实习 2025 Huawei PhD Fellowship
Xiangjie HuangPhD · 2025 Fall–	Communication University of China BEng, CS Central South University MEng, CS
Bochun ZhangPhD · 2025 Fall–	Beijing University of Posts and Telecommunications BEng, CS Tsinghua University MEng, CS
Man Hin YeungMPhil · 2026 Spring–	HKUST BEng, Electronic Engineering
Zijie LiRA · 2025-11–	—

校友与去向11

成员	教育背景	研究方向与经历
Pengwen Qi校友 · 本科研究 · 2025–2026	—
Hyun Hu Park校友 · 本科研究 · 2023–2025	—
Eric Mok Ka Chun校友 · 本科研究 · 2024–2025	—
Michael Wang Shao-Fu校友 · 本科研究 · 2024–2025	—
Marco Tam校友 · 本科研究 · 2023–2024	—
Miranda Drummond校友 · 本科研究 · 2024–2025	—
Jinyi Zhuang校友 · 本科研究 · 2023–2024	—
Martin Lee校友 · 本科研究 · 2023–2024	—
Yasna Noushirvani校友 · Visitor · 2025-07–2025-09	Sharif University of Technology 学生
Maxime Bruno校友 · Visitor · 2025-02–2025-07	École Normale Supérieure de Lyon 学生
Zhewen Yang校友 · RA · 2024-05–2024-12 GitHub GitHub 关注 13 Stars 0	2017–2021 Xi’an Jiaotong University BEng, CS 2023–2024 Johns Hopkins University MEng, CS 2025– Northeastern University PhD, Computer Engineering	网络系统、测量、数据中心 ByteDance Virtual Network Group · PhD Research Intern2026-01–2026-08 Northeastern University PhD

教育与履历

教育背景

2015–2019
Tsinghua University
BEng, Electronic Engineering；Minor in Management
导师 Jun Bi
2019–2023
Tsinghua University
PhD, Computer Networks
导师 Mingwei Xu

任职经历

2018 Summer
MIT, Networks and Mobile Systems
Research Assistant
2020 Summer
Tencent Cloud Game Team
Research Intern
2021 Fall
Alibaba XG Lab
Research Intern
2021 Summer
JLSemi, Network ASIC Team
SDE Intern
2022
Carnegie Mellon University, SNAP
Research Assistant
2023–
HKUST ECE / CSE
Assistant Professor

学术服务

网络系统方向的青年教师，近期工作集中发表在 SIGCOMM、NSDI 等系统会议，并有明确的工业系统评估和奖项记录。

1999 年 11 月出生，清华大学 2015 级电子工程本科生，2018 年获本科生特等奖学金。

博士与本科分别由徐明伟、毕军指导；在 CMU 随 Justine Sherry、在 MIT 随 Mohammad Alizadeh 开展研究。

指导方式与组内生活

强调从研究问题和可运行系统出发，公开写出对编程能力、合作时机和论文协作的具体要求。

进组能力

GPA、研究经历和系统开发三项至少有一项突出；博士申请者应有网络或系统项目经历及 500 行以上代码的调试经验。

问题意识

要求提出研究问题，并回答为什么重要、难在哪里、为什么现在能解决。偏好在问题形成阶段合作。

论文责任

写作手册规定只有 leading author 接受或拒绝修改；其他人使用 Track Changes。投稿前最后一小时由 leading author 操作稿件。

交流与支持

主页提供匿名反馈表；写作手册列 Overleaf Pro 学生订阅由组内报销。

业界合作与实习

合作机构: 5家
合作记录: 6条
成员产业经历: 5条

工业合作贯穿视频通信研究与产品部署：Tooth 在蔚领云游戏部署，AFR 在腾讯云游戏部署；实验室同时开展 WiCi 创业、AI 眼镜和视频 AI 项目。

Tencent 系统部署与本人实习
AFR 部署于腾讯云游戏；2020 年在腾讯 Cloud Game Team 实习。
Well-link 系统部署
Tooth 在 Well-link Cloud Gaming 部署。
WiCi 创业项目
主页介绍 venture-backed startup，围绕 GPU 与 Wi-Fi 的计算基础设施开发。
Alibaba 本人研究实习
2021 年秋在 XG Lab 实习，mentor 为 Chen Sun。
Huawei 学生奖学金
Hua Meng 获 2025 Huawei PhD Fellowship。
Huawei 联合项目
2024–2025 主持基于 QoE 的多场景传输加速和调度；2025 年起主持面向 AI 端侧体验的端云传输机制 Phase II。

成员实习与产业经历

2021–2024
Hua Meng · Kuaishou
视频与音频编辑工程
2023-06–2023-09
Yibin Shen · Huawei, Data Communication
Information engineer intern
2026-01–2026-08
Zhewen Yang · ByteDance Virtual Network Group
PhD Research Intern
Hua Meng · Google
网络与数据中心实习
Hua Meng · Microsoft
网络与数据中心实习

学术影响与网络关注

计算标准

院系样本分位

累计引用27P27

h-index22P22

2024–2026 论文62P62

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 89 篇 · i10-index 18 · 截至 2026-10-17

GitHub · mengzili个人账号

关注者: 243人
Stars: 20
公开仓库: 28

GitHub · hkust-spark实验室组织账号

关注者: 36人
Stars: 139
公开仓库: 12

Ling PAN

潘玲

Assistant Professor · 合聘与跨系教师

个人主页 · 学校档案 · 档案

实验室: Intelligent Decision-Making Lab
博士毕业于: Tsinghua University · 2022
研究主线: 深度强化学习与可塑性；GFlowNets 与多样性采样；多智能体与智能决策应用；基础模型后训练与 RLVR

累计引用: 417次
h-index: 9
2024–2026 论文: 46篇
在组成员: 12人

研究方向

深度强化学习与可塑性
研究学习效率、网络可塑性、采样质量和优化稳定性。
ling-pan.github.io
GFlowNets 与多样性采样
研究奖励分布匹配、预训练与微调、生成流网络及科学发现中的多样候选。
ling-pan.github.io
多智能体与智能决策应用
公开方向包括多智能体系统、离线学习、调度和计算可持续性。
ling-pan.github.io
基础模型后训练与 RLVR
近期论文将值函数、随机策略评估和统一实验机制引入 LLM 推理训练，主页还列生成视频和具身模型相关工作。
ling-pan.github.io

2024 年 OC-GFN 把生成流网络推进到无奖励预训练与下游适配；2025 年 NE、LEAST 分别从网络结构和采样过程改善学习；2026 年 AsyPPO、ROVER 与 Tricks or Traps 将这些关于价值估计、探索和优化机制的问题用于 LLM 推理。新对象与基础强化学习问题之间存在明确联系。

从基础强化学习问题推进到模型后训练

OC-GFN 研究预训练与分布采样，NE 和 LEAST 处理可塑性及低价值轨迹；ROVER 明确列出简化 MDP 假设，Tricks or Traps 使用统一框架隔离训练技巧。材料支持机制分析与实证相结合的研究取向。

代表论文与近期发表

2024Pre-Training and Fine-Tuning Generative Flow NetworksICLR 2024

研究问题: GFlowNet 通常依赖给定奖励，如何先学共享结构再适配新任务仍需解决。
核心方法: 提出 outcome-conditioned GFlowNet 做无奖励预训练，并以 amortized predictor 近似下游适配中的边缘化。
实验结果: 在 GridWorld 和生物序列设计任务中报告更快适配和更有效的高奖励模式发现。
实验条件与边界: 下游边缘化依赖近似预测器；跨任务适用性以所测任务和奖励设置为范围。
课题组研究线: 形成生成采样与迁移学习的基础路线。
核阅章节: Abstract、Introduction（节选）、Conclusion

2025The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement LearningICML 2025

研究问题: 继续执行低价值轨迹会消耗交互，并把低信息样本写入回放缓存。
核心方法: LEAST 根据 Q 值和梯度统计量提前结束不具生产性的 episode，无需增加网络组件。
实验结果: 在多种 RL 算法及 MuJoCo、DeepMind Control Suite 任务中改善学习效率。
实验条件与边界: 结果针对所测环境和可重置采样过程；现实不可随意终止的任务需要专门设计。
课题组研究线: 与 NE 互补，将效率问题推进至数据采样与轨迹选择。
核阅章节: Abstract、Introduction（节选）、Conclusion

2025NEUROPLASTIC EXPANSION IN DEEP REINFORCEMENT LEARNINGICLR 2025

研究问题: 深度 RL 的非平稳训练会造成可塑性下降，影响继续学习。
核心方法: 以动态扩展网络、休眠神经元剪枝和经验回顾式巩固组成 Neuroplastic Expansion。
实验结果: 在 MuJoCo 与 DeepMind Control Suite 中改善任务表现及可塑性指标。
实验条件与边界: 结果来自 MuJoCo、DMC 和论文所测持续学习场景；网络逐步增长至预定完整规模，自适应容量与进一步降低计算开销仍为后续方向。
课题组研究线: 从网络结构角度研究学习过程中能力下降的机制。
核阅章节: Abstract（完整）、Introduction（完整）、Conclusion（完整）

2026Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoningICLR 2026

研究问题: LLM 规模的对称 critic 成本高，稀疏奖励与长推理也使值估计困难。
核心方法: 在互不重叠的 prompt 分片上训练轻量 mini-critics，以估计分歧控制优势和熵相关更新。
实验结果: Qwen3 不同规模推理实验报告稳定性与性能改善，同时保持较低运行成本。
实验条件与边界: 所读版本限于 Qwen3 和固定最长生成长度；其他模型族及更长推理需要验证。
课题组研究线: 把基础 actor–critic 架构问题用于 LLM 后训练。
核阅章节: Abstract、Introduction（节选）、Conclusion

2026Tricks or Traps? A Deep Dive into RL for LLM ReasoningICLR 2026

研究问题: 不同数据、初始化和实现让 RL4LLM 技巧的实验结论难以比较。
核心方法: 在统一框架中逐项复现和隔离归一化、裁剪、过滤等技巧，并构造 Lite PPO 组合。
实验结果: 在所测模型、数据难度与推理任务上提供适用条件及相对 GRPO、DAPO 的结果。
实验条件与边界: 结论绑定统一实验设置；技巧移植到新模型和新任务时仍需消融。
课题组研究线: 把后训练经验规则还原为可比较的机制研究。
核阅章节: Abstract、Introduction（节选）、Conclusion

2026Random Policy Valuation is Enough for LLM Reasoning with Verifiable RewardsICLR 2026

研究问题: 数学 RLVR 的特定结构是否允许简化策略评估与改进过程。
核心方法: 在确定性、树状有限时域、二元终止奖励假设下，利用均匀随机策略 Q 值构造 ROVER。
实验结果: 理论连接该 Q 值与最优动作，数学推理实验报告质量和多样性改善。
实验条件与边界: 实验模型最多 8B；工具调用、中间反馈可能破坏设定，实际大规模实现还引入近似。
课题组研究线: 以问题结构简化后训练算法，保留理论假设与实现间的差别。
核阅章节: Abstract、Introduction（节选）、Conclusion

2024–2026 论文目录（共 46 篇）

2026 年12 篇

2025 年20 篇

2024 年14 篇

实验室与成员

Intelligent Decision-Making Lab

博士生: 9
硕士生: 1
RA、访问与其他: 2

所在单位: HKUST, Clear Water Bay
地点: HKUST, Room 2397

深度强化学习、多智能体、GFlowNets、科学决策和基础模型后训练。

在组成员12

成员	教育背景	研究方向与经历
Runze LiuPhD · 2026 Fall–	Tsinghua University MEng, EE	HKPFS
Jiale DingPhD · 2026 Fall–	Fudan University BEng, AI	HKPFS
Wenrui ZhouPhD · 2026 Fall–	Beijing Institute of Technology BEng, CS	HKPFS
Yuxiao YePhD · 2025 Fall–	Beijing Institute of Technology MEng, CS
Ziqi WangPhD · 2025 Fall–	Southern University of Science and Technology MEng, EE
Jiashun LiuPhD · 2025 Fall–	Tianjin University MEng, CS
Haoran HePhD · 2024 Spring–	Shanghai Jiao Tong University BEng, CS
Yuanhang LiPhD · 2022 Fall–	—	共同指导
Chunhui LiMPhil · 2024 Fall–	—
Zihao WuVisiting student	Tianjin University 硕士在读
Baoshun TongVisiting student	Sun Yat-Sen University 博士在读
Mingkai TangPhD	—	Computer Science and Engineering

校友与去向2

成员

教育背景

研究方向与经历

Taeyoung Yun校友 · Visiting student · 2024-09–2025-03

简历 · LinkedIn · GitHub · Google Scholar

GitHub 关注: 25
Stars: 98

2018–2022 KAIST

BSc, ISE and CS

2022–2024 KAIST

MSc, AI

2024– KAIST

PhD, Industrial and Systems Engineering · 导师 Jinkyoo Park

生成模型的潜空间采样、离策略强化学习、多智能体决策

Kakao Recommendation Team · Intern2021-03–2021-08

Mila · Research Intern, Yoshua Bengio2025-06–2025-11

KAIST PhD

Yili Jin校友 · Visiting student · 2024-02–2024-08

GitHub · DBLP · ORCID

DBLP 近三年: 30
GitHub 关注: 0
Stars: 0

2017–2021 Sun Yat-Sen University

BEng

2021–2023 CUHK Shenzhen

MPhil · 导师 Fangxin Wang

2023–2026 McGill University

PhD · 导师 Xue Liu

Spatial intelligence、Embodied AI、World Models

Huawei 2012 Labs · Software Development Intern2020-10–2021-05

Microsoft Research Asia · Research Intern2022-06–2023-02

Microsoft Research Asia · Research Intern2025-08–2025-11

2026-06 起 SFU 博士后；2026-05 创办 MirrorSpace Technology

教育与履历

教育背景

2017
Sun Yat-Sen University
BEng, Computer Science
2022
Tsinghua University
PhD, Computer Science and Technology

任职经历

2024 Spring–
HKUST ECE / CSE
Tenure-Track Assistant Professor
Mila
Postdoctoral Fellow，合作导师 Yoshua Bengio
博士期间
Stanford University
Visiting researcher，导师 Tengyu Ma
博士期间
University of Oxford
Visiting researcher，导师 Shimon Whiteson

学术服务

研究以强化学习算法、学习动力学与生成采样为中心，兼有理论建模与基准实证。当前资料支持青年研究者的具体论文、奖项与领域服务，跨方向总体排名省略。

2020 年获 Microsoft Research PhD Fellowship；2022 年获清华大学优秀博士学位论文，论文题为 Towards Robust, Efficient, and Practical Deep Reinforcement Learning Algorithms。

指导方式与组内生活

研究目标

围绕强化学习的理论理解、算法改进和实际应用组织研究，关注鲁棒性、效率及可用性。

业界合作与实习

合作机构: 6家
合作记录: 6条
成员产业经历: 5条

产业项目覆盖 Huawei 的大模型 RLHF、腾讯的通用强化学习 agent、MTR Academy 的轨道系统自动化，以及 Fortune Ever 的交互视频生成。

Microsoft Research Asia 奖学金
Ling Pan 获 2020 Microsoft Research PhD Fellowship；访问校友 Yili Jin 有两段 MSRA 研究实习。
MirrorSpace Technology 校友创业
访问校友 Yili Jin 于 2026-05 创办，方向为空间智能、具身 AI 与世界模型。
Huawei 研究项目
2024–2026 主持多样性驱动强化学习的大语言模型对齐、泛化与性能改进。
Tencent 研究项目
2024–2025 主持基于游戏世界模型与 GFlowNets 的通用强化学习智能体项目。
MTR Academy 研究项目
2024 年起主持多智能体强化学习用于轻轨自动化项目，与 Hai Yang 合作。
Fortune Ever Global 研究项目
2026 年起主持带推理与记忆增强的交互生成视频项目。

成员实习与产业经历

2020-10–2021-05
Yili Jin · Huawei 2012 Labs
Software Development Intern
2021-03–2021-08
Taeyoung Yun · Kakao Recommendation Team
Intern
2022-06–2023-02
Yili Jin · Microsoft Research Asia
Research Intern
2025-06–2025-11
Taeyoung Yun · Mila
Research Intern, Yoshua Bengio
2025-08–2025-11
Yili Jin · Microsoft Research Asia
Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用15P15

h-index13P13

2024–2026 论文67P67

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 87 篇 · i10-index 8 · 截至 2026-10-17

GitHub · ling-pan个人账号

关注者: 65人
Stars: 194
公开仓库: 10

Anyi RAO

饒安逸

Assistant Professor · 合聘与跨系教师

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: Multimedia Creativity Lab / Multimedia Studio
博士毕业于: The Chinese University of Hong Kong · 2022
研究主线: Generative AI；World Models；Computer Vision；Computer Graphics；Human-Computer Interaction；Agentic AI；AI for Creativity；Film Studies

累计引用: 6,605次
h-index: 17
2024–2026 论文: 43篇
在组成员: 33人

研究方向

Generative AI
研究图像与视频生成、可控生成和个性化适配。ControlNet、AnimateDiff 及近期 Bind&Compose 构成相关工作，历史成果与 2024–2026 论文窗口分别标记。
arXiv · arXiv
World Models
学校研究档案列视频世界模型、物理动态与交互推理的相关项目；具体成果需与论文逐项关联。
系内主页
Computer Vision
研究视频理解、电影镜头与场景切分，以及视觉素材的表示和检索。MovieNet 与近期创作工具提供连续研究背景。
arXiv
Computer Graphics
研究神经场景表示、图像与视频重光照，以及数字拍摄。主页列 CityNeRF、Shoot360、IC-Light 等不同年份工作。
arXiv
Human-Computer Interaction
研究创作者如何控制生成、选择素材和组织表达。ScriptViz、CineVision 与 Collaposer 分别围绕剧本、分镜与拼贴提供交互原型和用户研究。
arXiv · arXiv
Agentic AI
主页列 agentic AI 为当前方向，并组织 CVPR 2026 Agentic AI for Visual Media workshop。具体系统的自主性和实际效果需要论文证据。
AI for Creativity
研究生成模型参与视觉、叙事和数据表达的方式。DataSway 以动画片段生成与协调支持可视化创作，主页记录其获 DIS 2026 Best Paper Award。
arXiv
Film Studies
研究材料围绕剧本、镜头、分镜与电影创作流程，并组织 AI 电影相关活动。
arXiv · arXiv

MovieNet 等早期工作积累电影理解的数据与表示；2024 年 AnimateDiff 研究可迁移视频生成模块，ScriptViz 面向剧本创作的素材检索；2025 年 CineVision 支持导演和摄影师沟通；2026 年 Collaposer、DataSway 与概念绑定工作继续扩展视觉创作工具和生成机制。

生成模型与创作工具相互推进

AnimateDiff 与概念绑定研究生成模块；ScriptViz、CineVision、Collaposer 和 DataSway 从创作者需求出发设计工具并开展用户研究。所读工作支持算法与工作流双线推进的判断。

代表论文与近期发表

2024ScriptViz: A Visualization Tool to Aid Scriptwriting based on a Large Movie DatabaseUIST

研究问题: 编剧需要在写作时寻找与场景意图相符、又能提供变化的电影参考。
核心方法: 从电影数据库按剧本文字和对话检索，允许固定部分视觉元素并变化其他元素。
实验结果: 15 位编剧的研究支持工具的易用性、相关性和视觉选项多样性。
实验条件与边界: 评估为短时创作任务；长期写作质量和实际制作结果需进一步研究。
课题组研究线: 把电影理解数据转化为具体创作环节的支持工具。
核阅章节: Abstract、Introduction（节选）、Conclusion（已提供部分）

2024AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific TuningICLR

研究问题: 个性化文生图模型已有视觉风格，需要获得连续运动生成能力。
核心方法: 训练可迁移的即插即用运动模块，并用 MotionLoRA 适配新运动模式。
实验结果: 在共享基础模型的多个个性化 T2I 上生成连贯动画，同时保留相应视觉风格。
实验条件与边界: 模块迁移的前提是来自同一基础 T2I；跨任意模型的兼容性超出当前结论。
课题组研究线: 将运动先验与个性化图像能力分离，支持后续模块化创作工具。
核阅章节: Abstract、Introduction（节选）、Conclusion（已提供部分）

2025CineVision: An Interactive Pre-visualization Storyboard System for Director–Cinematographer CollaborationUIST

研究问题: 导演和摄影师在前期制作中需要更清楚地沟通场景、光照和角色。
核心方法: 整合剧本、实时预可视化、动态光照、风格及角色控制。
实验结果: 24 人实验中，相比两种基线缩短任务时间并提高可用性评价。
实验条件与边界: 论文明确将长期创意一致性、更高分辨率和多用户协作列为后续问题。
课题组研究线: 从编剧的素材参考推进到制作人员之间的视觉沟通。
核阅章节: Abstract、Introduction（节选）、Conclusion（已提供部分）

2026Collaposer: Transforming Photo Collections into Visual Assets for Storytelling with CollagesCHI

研究问题: 拼贴创作中的照片检索、抠图与大量素材整理耗费时间。
核心方法: 结合标注、检测、分割与 LLM 选择，根据故事描述生成分层组织的视觉素材。
实验结果: 用户研究支持快速准备与故事相关的多样素材，并展示后续拼贴动画用途。
实验条件与边界: 证据主要对应素材准备与选择，完整叙事质量和长期创作结果需继续评估。
课题组研究线: 把生成式工具的工作范围细化到创作准备环节。
核阅章节: Abstract、Introduction（节选）、Conclusion（已提供部分）

2026DataSway: Vivifying Metaphoric Visualization with Animation Clip Generation and CoordinationDIS

研究问题: 隐喻可视化的动画需要同时符合语义、数据表达和交互要求。
核心方法: 由 VLM 生成 SVG 元素动画，再按实体、属性或空间规则安排片段与时间线。
实验结果: 8 名设计师形成性研究、14 人用户研究和七个案例支持快速原型与创意探索。
实验条件与边界: 研究基于短期创作任务，缺少长期使用结果和稳定的动画质量评价指标；自然语言存在目标歧义，当前系统尚未处理数据元素的完整视觉层次。数据保真校验与可用性结果分别解释。
课题组研究线: 将生成能力落实为可控制的可视化动画创作流程。
核阅章节: Abstract（完整）、Introduction（完整）、Conclusion（完整）、Discussion（完整）

2026Composing Concepts from Images and Videos via Concept-prompt BindingCVPR

研究问题: 图像与视频中的复杂概念需要被准确分离并在同一输出中组合。
核心方法: Bind & Compose 通过分层 binder 绑定概念和 prompt token，使用 Diversify-and-Absorb 与双分支时序解耦。
实验结果: 论文报告在概念一致性、提示词忠实度和运动质量上优于其比较方法。
课题组研究线: 沿可组合生成模块的路线，扩展到多源图像和视频概念。
核阅章节: Abstract、Introduction（节选）

2024–2026 论文目录（共 43 篇）

2026 年25 篇

2025 年11 篇

2024 年7 篇

实验室与成员

Multimedia Creativity Lab / Multimedia Studio

博士生: 25
硕士生: 1
RA、访问与其他: 7

所在单位: HKUST, Clear Water Bay
地点: HKUST, Room IAS1008

多模态 agent、生成式 AI、视频世界模型、人机协同创作，结合算法、创作工具、影视和艺术实践。

Multimedia Creativity Lab

研究透明、可控的多模态 agent，视频生成与编辑、人机协作及可信 AI。

Multimedia Studio

将生成模型用于影视、绘画、音乐和叙事创作；成员包括艺术家、设计师和影视从业者。

在组成员33

成员	教育背景	研究方向与经历
Xianghao KongPhD	Beihang University	HKPFS；Tencent Project UP Scholarship
Tianyi Tony ZhangPhD · 2025-09–	2024-07 Nanyang Technological University Master	电影修复、AI 影视与视效 Hong Kong Design Institute · Assistant Lecturer2024-08– RESTITUO · AI 4K 影视修复创业项目2025-03– HKUST AI Film Festival 联合发起人，2026 General Chair
Songlin YangPhD LinkedIn · GitHub · Google Scholar GitHub 关注 19 Stars 145	Nanjing University of Aeronautics and Astronautics BEng CASIA, NLPR MSc · 导师 Wei Wang；Jing Dong	统一多模态模型、可控视频生成 Tencent Video AI Center · Student Researcher SenseTime · Research Intern Microsoft Research Asia · Research Intern Anyi Rao、Hongbo Fu 指导；2026 Tencent Project UP Scholarship
Songchun ZhangPhD	Zhejiang University
Zeyu ZhangPhD	The University of Hong Kong
Yiyang LuoPhD	Nanyang Technological University
Yihang JiangPhD	HKUST
Zhe WangPhD	ShanghaiTech University
Longji HuangPhD	University of Toronto	HKPFS
Mingchen LiPhD	HKUST (Guangzhou)
Yinhan ZhangPhD GitHub GitHub 关注 14 Stars 173	2024 Taiyuan University of Technology BEng, Data Science and Big Data Technology HKUST (Guangzhou) MPhil, AI	世界模型、实时交互视频生成、图像与视频生成 JD Retail · MLLM Algorithm Intern2023-11–2024-04商品匹配、难负例挖掘、属性对齐。 Baidu Financial Services · NLP Algorithm Intern2023-07–2023-11意图识别与金融客服模型。 TeleAI, China Telecom AI Research Institute · Video Generation Research Intern2024-11–2025-11可控人物动作生成、VAST 1.0 基础模型与视频数据管线。 Tencent Hunyuan · Research Intern2024-05–2024-07文图对齐、查询重写、多轮对话图像生成与模型路由。 Pyoh Technology · 编程教育硬件创业项目2024– Tencent Games · Research Intern2026-01–游戏世界模型。
Houyuan ChenPhD	Nanjing University
Xuyi YangPhD	Wuhan University
Zeqian ZhangPhD	City University of Hong Kong
Pei YangPhD	Wuhan University
Shiqin HouPhD	The Central Academy of Drama	影视制作与 AIGC 叙事参与 30 余部电影制作；AAAI 2026 Creative Video Gold Award
Jiayi ZhouMPhil Google Scholar · LinkedIn · GitHub GitHub 关注 7 Stars 0	Zhejiang University	Huamin Qu 与 Anyi Rao 共同指导
Zhuoran ZhaoVisiting PhD LinkedIn · Google Scholar · GitHub · DBLP · ORCID · OpenAlex DBLP 近三年 11 OpenAlex 近三年 1 引用 23 h-index 2 GitHub 关注 0 Stars 0	South China University of Technology BEng National University of Singapore MSc HKUST (Guangzhou) PhD 在读 · 导师 Pan Hui；Anyi Rao	Tencent LightSpeed · Research Intern2026-03– 访问 MMLab@HKUST
Liufang ChenArtist	Peking University	AI 影视创作北京国际电影节与威尼斯 AI 电影奖项
Jiayan ChenArtist	The Central Academy of Drama	数字艺术与影视 Asian Digital Art Exhibitions 2026
Ivy Mengyao ZhangArtist 简历	2021–2025 Savannah College of Art and Design BFA, Painting 2025– HKUST MA, Arts and Machine Creativity	AI 与绘画、跨媒介艺术 SCAD summa cum laude
Yudi XieRA	Wuhan University
Siyu HuangRA	Sun Yat-sen University
Xiangze MengRA	HKUST (Guangzhou)
Haiying HePhD	—	共同指导
Ho Hin KwanPhD	—
Baiqi LiPhD	—	共同指导
Yuyao ZhangPhD	—	共同指导
Jianxin HuangPhD	—	共同指导
Yexin LiuPhD	—	共同指导
Xuran MaPhD	—	共同指导
Haokai PangPhD	—	共同指导
Haoze ZhengPhD	—	共同指导

校友与去向1

成员	教育背景	研究方向与经历
Zheng Wei校友 · PhD	Beijing Film Academy	Huamin Qu、Pan Hui 与 Anyi Rao 指导

教育与履历

教育背景

2022
The Chinese University of Hong Kong
PhD, Information Engineering
导师 Dahua Lin；Bolei Zhou

任职经历

HKUST AMC / CSE / EMIA
Assistant Professor
HKUST Media Intelligence Research Center
Associate Director
Stanford University
Postdoctoral Fellow，合作导师 Maneesh Agrawala
Meta Reality Labs
Research Intern
Shanghai AI Laboratory
Research Intern
SenseTime
Research Intern
University of Toronto / Vector Institute
Visiting researcher

学术服务

研究横跨生成视觉算法与创作者交互工具。ControlNet 的 ICCV 2023 Marr Prize 和 DataSway 的 DIS 2026 Best Paper Award 分别提供视觉与 HCI 方向的具体认可。

入选 2025 Forbes 30 Under 30 Asia；研究同时进入计算机视觉、图形学、人机交互与 AI 影视创作。

指导方式与组内生活

公开强调技术与艺术结合、研究自主性和个性化指导。对低年级学生提供 hands-on 一对一帮助，对高年级学生培养带队和独立研究能力。

分阶段指导

低年级学生以一对一、具体研究指导为主；高年级学生获得领导项目、指导新人和发展独立方向的机会。

创作环境

公开强调灵活、自由的创作氛围，结合计算资源、产业联系、艺术展览和影视创作。

个人自述

在公开学生页面自述为 ENFP，强调热情、创造力和技术艺术结合。

业界合作与实习

合作机构: 6家
合作记录: 6条
成员产业经历: 12条

产业关系连接 Adobe、腾讯、Meta、SenseTime 与影视创作。研究项目、在读学生企业研究岗位和影视创业共同构成合作网络。

Adobe 研究资助
2024 年 Adobe gift fund，2026 年主持人工智能研究项目。
Tencent 联合项目
2025 年起主持自然语言驱动的多镜头相机运动可控视频生成项目；Xianghao Kong 与 Songlin Yang 获 Project UP Scholarship。
Meta Reality Labs 本人研究实习
加入 HKUST 前曾在 Meta Reality Labs 实习。
SenseTime 本人和学生实习
本人有 SenseTime 实习经历，Songlin Yang 也记录相关研究实习。
RESTITUO 学生创业
Tianyi Zhang 自 2025-03 参与 AI 4K 电影修复创业项目。
China Telecom TeleAI 成员研究经历
Yinhan Zhang 2024-11–2025-11 在 AIGC Research Group 从事视频生成研究。

成员实习与产业经历

2023-11–2024-04
Yinhan Zhang · JD Retail
MLLM Algorithm Intern · 商品匹配、难负例挖掘、属性对齐。
2023-07–2023-11
Yinhan Zhang · Baidu Financial Services
NLP Algorithm Intern · 意图识别与金融客服模型。
2024-08–
Tianyi Tony Zhang · Hong Kong Design Institute
Assistant Lecturer
2024-11–2025-11
Yinhan Zhang · TeleAI, China Telecom AI Research Institute
Video Generation Research Intern · 可控人物动作生成、VAST 1.0 基础模型与视频数据管线。
2024-05–2024-07
Yinhan Zhang · Tencent Hunyuan
Research Intern · 文图对齐、查询重写、多轮对话图像生成与模型路由。
2024–
Yinhan Zhang · Pyoh Technology
编程教育硬件创业项目
2025-03–
Tianyi Tony Zhang · RESTITUO
AI 4K 影视修复创业项目
2026-01–
Yinhan Zhang · Tencent Games
Research Intern · 游戏世界模型。
2026-03–
Zhuoran Zhao · Tencent LightSpeed
Research Intern
Songlin Yang · Tencent Video AI Center
Student Researcher
Songlin Yang · SenseTime
Research Intern
Songlin Yang · Microsoft Research Asia
Research Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用57P57

h-index26P26

2024–2026 论文66P66

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 77 篇 · i10-index 20 · 截至 2026-10-17

GitHub · anyirao个人账号

关注者: 303人
Stars: 423
公开仓库: 20

Qijia SHAO

邵琪佳

Assistant Professor · 合聘与跨系教师

个人主页 · 学校档案 · 档案

实验室: Ubiquitous X Lab
博士毕业于: Columbia University · 2018–2024
研究主线: 普适计算与织物生理感知；移动人机交互与意图预测；以人为中心的健康AI与多模态大语言模型辅助；信息物理系统与水下空中跨介质感知

累计引用: 307次
h-index: 10
2024–2026 论文: 11篇
在组成员: 9人

研究方向

普适计算与织物生理感知
以计算织物采集物理与生理信号，研究传感结构、混合信号分离与日常环境中的系统评估。
简历 · qijiashao.github.io
移动人机交互与意图预测
以手机惯性信号推断点击前的触达与操作意图，研究轻量模型与界面适配。
qijiashao.github.io
以人为中心的健康AI与多模态大语言模型辅助
结合视频、生理信号与语言模型，为照护者提供离线复盘辅助。
系内主页
信息物理系统与水下空中跨介质感知
既有工作包含跨介质定位与目标跟踪；近期主页也列出水媒 ECG 游泳者心率监测。相关论文仍需补充阅读。
系内主页

Joey 将计算织物用于婴儿与照护者接触中的生理监测；PillowSense 延伸到枕套中的居家睡眠监测。2026 年 PreTap 转向手机交互前的动作意图预测，CareAssist 研究感知与 LLM 支持的照护者离线复盘。软硬件感知和以人的活动为对象的系统研究构成连续线索。

硬件感知、算法与用户研究结合

Joey 同时设计织物传感结构与信号分离算法；PillowSense 把传感器置于枕套并开展纵向居家研究。PreTap 与 CareAssist 继续以具体活动和使用条件组织系统评估。

代表论文与近期发表

2024Joey: Supporting Kangaroo Mother Care with Computational FabricsMobiSys 2024

研究问题: 袋鼠式护理需要记录皮肤接触时长和婴儿生命体征，减少婴儿身上的硬质传感器。
核心方法: 以照护者佩戴的织物项链采集混合 ECG，通过信号分离和扩散去噪估计婴儿心率与呼吸率。
实验结果: 引言报告 11 对婴儿与成人、10 对成人与成人的评估。接触时长 F1 为 96.4%；心率和呼吸率的平均绝对误差分别为每分钟 2.3 次心跳与每分钟 2.9 次呼吸。
实验条件与边界: 研究为小规模、短期用户体验；婴儿生命体征参考设备尚非医疗级，早产儿临床研究列为后续工作。去噪模块仍需专用笔记本，持续佩戴硬件、低功耗部署和长期准确性需要继续优化。
课题组研究线: 将计算织物从单人传感扩展到接触中的多人信号。
核阅章节: Abstract（完整）、Introduction（完整）、Conclusion（完整）、Discussion and Future Work（完整）

2025My Pillow Knows My Sleep: Sleep Monitoring with Computational Fabrics in the PillowcaseIMWUT 2025

研究问题: 睡眠监测需要降低穿戴负担，同时识别姿态与生命体征。
核心方法: 枕套结合导电与压敏织物，从颈部 ECG、sEMG 及压力信号推断姿态、心率、呼吸与运动。
实验结果: 151 夜、912.2 小时的真实睡眠数据中，七种姿态分类 F1 为 88%；结论记载原型评估共 21 人。
实验条件与边界: 需要区分实验室、纵向研究与个性化模型。
课题组研究线: 延续织物生理感知，将系统整合到居家日常物件。
核阅章节: Abstract、Introduction（节选）、Conclusion

2026PreTap: Implicit Reachability Analysis and Tap Prediction for One-handed Mobile InteractionIMWUT 2026

研究问题: 大屏手机单手操作存在够不到的区域，需要在点击前预测意图。
核心方法: 使用零权限惯性信号、180K 参数 CNN–Attention 与无监督触达分析，支持主动界面适配。
实验结果: 50 人研究中，作者报告可平均提前约 220 ms 预测并调整界面。
课题组研究线: 在轻量端侧感知基础上扩展到动作意图和交互设计。
核阅章节: Abstract（完整）

2026CareAssist: Supporting Offline Caregiver Coaching in Daily Autism Care through Multimodal Sensing and LLMsIMWUT 2026

研究问题: 家庭照护者的离线视频复盘依赖专家时间，关键互动片段也难以识别。
核心方法: 结合视频和 PPG 识别值得干预的时刻，由 LLM 提供有上下文依据的草拟建议与会话总结。
实验结果: 56 个家庭研究比较片段检测及三种提示策略，另有照护者案例；结果涉及专家评分中的不同取舍。
实验条件与边界: 研究对象为离线辅导工作流。
课题组研究线: 从生理感知扩展到人与智能系统共同完成的照护工作流。
核阅章节: Abstract（完整）

2024–2026 论文目录（共 11 篇）

2026 年4 篇

2025 年2 篇

2024 年5 篇

实验室与成员

Ubiquitous X Lab

博士生: 5
硕士生: 1
RA、访问与其他: 3

所在单位: HKUST, Clear Water Bay
地点: HKUST, IAS 1003

移动与普适计算、人本 AI、生理与行为感知，应用于健康、教育和交互。

在组成员9

成员	教育背景	研究方向与经历
Jiting LiuPhD · 2025 Fall– LinkedIn · Google Scholar · GitHub GitHub 关注 5 Stars 0	2022 Northeastern University, China BSc, CS 2024 Columbia University MSc, CS	面向健康的移动与普适感知；SwimHR 和 Joey Microsoft Research Asia · Research Assistant2024 2024–2025 在 HKUST 任 RA；RedBird Scholarship
Jinhe WenPhD · 2025 Fall–	Nanjing University 本科, Applied Physics University of California San Diego 硕士 · 导师 Haojian Jin	HCI、健康、教育、安全与隐私、游戏；mixed-methods 与多利益相关方研究
Yujing ZhangPhD · 2025 Fall–	KTH MSc
Yuxuan WengPhD · 2025 Fall–	HKUST MSc
Ziqi LiuMPhil · 2025 Fall– 简历 · Google Scholar · ORCID · GitHub · LinkedIn · OpenAlex GitHub 关注 0 Stars 0	2025 Tsinghua University BEng · 导师 Yuntao Wang；Haipeng Mi	移动和可穿戴感知、自然交互、健康；PreTap、手机眼动与嗅觉增强 MR 与 Cambridge Dong Ma 合作
Junxiao ChenPhD · 2026 Fall–	Tsinghua University BSc
Zeyu LuoRA · 2025 Spring–	HKUST MSc
Xuye You本科研究 · 2026 Summer–	HKUST 本科在读
Madi LiangRA · 2026 Summer–	University of Queensland MSc

校友与去向5

成员	教育背景	研究方向与经历
Xiangjie Tang校友 · Visiting student · 2025–2026	—	Seoul National University PhD
Ziyi Xu校友 · 本科研究 · 2025–2026	—	HKUST PhD
Yuchao Wang校友 · RA · 2025–2026	—	HKUST MPhil
Jerry Yue Gong校友 · RA · 2025 Spring–2026 Spring	HKUST MSc	HKUST PhD
Sibo Wang校友 · Visiting student · 2026 Summer	Tongji University MSc

教育与履历

教育背景

2014–2018
University of Electronic Science and Technology of China
BEng, Computer Engineering
2018–2022
Dartmouth College
MSc, Computer Science
导师 Xia Zhou；Devin Balkcom
2018–2024
Columbia University
PhD, Computer Science
导师 Xia Zhou；Fred Jiang

任职经历

2021 Summer
Signify / Philips Research
Research Intern
2022 Summer
Snap Research
Research Intern
2023 Summer
Samsung Research America
Research Intern
2024-09–
HKUST ISD / CSE
Assistant Professor

学术服务

在移动与普适计算的青年研究者中，Joey 的 MobiSys 2024 最佳论文奖和近期 IMWUT 工作构成具体学术记录。

Dartmouth 硕士在博士阶段取得，之后转至 Columbia；本科就读电子科技大学英才实验学院。

2018–2022 年在 Dartmouth 博士项目期间获得 MSc，随后转至 Columbia University，2024 年取得 PhD。

指导方式与组内生活

导师公开承诺至少每周一次交流，允许学生提出并实现自己的想法，早期提供更密集帮助；支持研究相关实习、会议旅行和创业。

交流频率

至少每周一次 meeting；教师愿意投入时间讨论，并在新成员初期提供具体指导。

研究自主性

学生可提出自己的研究想法并实现；期望研究进入现实环境，制作原型并验证应用。

休假与培养

公开说明支持适当休闲和休假，并指导学术写作、演讲和沟通。

会议与创业

支持学生在会议报告成果；研究原型具备机会和条件时，支持成果创业。

业界合作与实习

合作机构: 5家
合作记录: 5条
成员产业经历: 1条

本人有 Samsung、Snap、Philips 三段企业研究经历，包含产品算法与专利；组内公开支持研究相关实习和海外访问。

Samsung Research America 本人实习与产品算法
2023 年研究 rPPG 血氧估计，获 Samsung A1 patent；CV 记载方法进入手机和电视产品。
Snap Research 本人研究实习
2022 年研究 AR/VR motion-to-photon latency，发表 N-euro Predictor。
Signify / Philips Research 本人研究实习
2021 年研究传感器数据处理、概率模型与完整处理流水线，并提交专利。
Microsoft Research Asia 成员经历
Jiting Liu 在入读本组 PhD 前于 2024 年担任 MSRA Research Assistant。
Huawei 联合项目
2025 年起主持 Continuous User State Monitoring via Ubiquitous Sensing，研究持续用户状态感知。

实习安排

明确支持与研究方向相关的企业实习，并可按需要提供中国、美国、日本、韩国的内部推荐；支持海外访问与交流。

成员实习与产业经历

2024
Jiting Liu · Microsoft Research Asia
Research Assistant

学术影响与网络关注

计算标准

院系样本分位

累计引用10P10

h-index17P17

2024–2026 论文31P31

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 34 篇 · i10-index 11 · 截至 2026-10-17

GitHub · QijiaShao个人账号

关注者: 9人
Stars: 4
公开仓库: 4

Arno JACOBSEN

Visiting Professor · 访问教师

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: Middleware Systems Research Group (MSRG)
博士毕业于: Humboldt University · 1999
出生与年龄: 1969 年生 · 56–57 岁
研究主线: 分布式系统与中间件；云计算与机器学习系统；量子信息与可持续计算

累计引用: 10,961次
h-index: 50
2024–2026 论文: 78篇
在组成员: 17人

研究方向

分布式系统与中间件
分布式系统、数据管理和数据科学；中间件抽象、事件处理、publish/subscribe 与分布式账本。
云计算与机器学习系统
研究分布式基础设施上的学习系统与可扩展微服务；Learning Clouds 项目由 NSERC 支持，IBM/NSERC 项目研究云端微服务架构。
量子信息与可持续计算
量子信息处理、量子机器学习与分子性质预测；能源信息学和可持续计算。

代表论文与近期发表

2024–2026 论文目录（共 78 篇）

2026 年31 篇

2025 年20 篇

2024 年27 篇

实验室与成员

Middleware Systems Research Group (MSRG)

博士生: 14
博士后: 1
RA、访问与其他: 2

所在单位: University of Toronto
地点: Toronto, Canada；Munich, Germany

数据与分布式系统；分布式机器学习；量子计算系统

在组成员17

成员	教育背景	研究方向与经历
Grier JonesPost-Doc	—
Herbert WoisetschlägerPhD Student	—
Yifang TianPhD Student	—
Michael Dang'anaPhD Student	—
Yuqiu ZhangPhD Student	—
Shashank MotepalliPhD Student	—
Michalis BachrasPhD Student	—
Pouya KananianPhD Student	—
Gabriel PaulosPhD Student	—
Shiquan ZhangPhD Student	—
Jana VatterPhD Student	—
Nikolai MerkelPhD Student	—
Yunhao MaoPhD Student	—
Jawad TahirPhD Student	—
Fei PanPhD Student	—
Zongxin LiuMASc Student	—
Ben ChengUndergraduate Student	—

校友与去向42

成员	教育背景	研究方向与经历
Songlin Hu校友 · Postdoctoral Researcher	—
Chunyang Ye校友 · Postdoctoral Researcher	—
Kaiwen Zhang校友 · Postdoctoral Researcher	—
Christoph Goebel校友 · Postdoctoral Researcher	—
Balasubramaneyam Maniymaran校友 · Postdoctoral Researcher	—
Ruben Mayer校友 · Postdoctoral Researcher	—
Reza Sherafat Kazemzadeh校友 · Postdoctoral Researcher	—
Jian Li校友 · Postdoctoral Researcher	—
Christoph Doblander校友 · Postdoctoral Researcher	—
Tilmann Rabl校友 · Postdoctoral Researcher	—
Jiehan Zhou校友 · Postdoctoral Researcher	—
Alex Cheung校友 · PhD Student	—
Pooya Salehi校友 · PhD Student	—
Alexander Erben校友 · PhD Student	—
Victor Del Razo校友 · PhD Student	—
José Rivera校友 · PhD Student	—
Charles Zhang校友 · PhD Student	—
Thomas Kriechbaumer校友 · PhD Student	—
Anwar Ul Haq校友 · PhD Student	—
Matthias Kahl校友 · PhD Student	—
Milenko Petrovic校友 · PhD Student	—
Vinod Muthusamy校友 · PhD Student	—
Kianoosh Mokhtarian校友 · PhD Student	—
Guoli Li校友 · PhD Student	—
Mohammad Sadoghi校友 · PhD Student	—
Gengrui Zhang校友 · PhD Student	—
Haifeng Liu校友 · PhD Student	—
Mingwen Chen校友 · PhD Student	—
Martin Jergler校友 · PhD Student	—
Lixia Chen校友 · PhD Student	—
Jeeta Ann Chacko校友 · PhD Student	—
Chen Chen校友 · PhD Student	—
Young Yoon校友 · PhD Student	—
Pezhman Nasirifard校友 · PhD Student	—
René Schwermer校友 · PhD Student	—
Zhengdao Xu校友 · PhD Student	—
Amirhesam Shahvarani校友 · PhD Student	—
Elias Stehle校友 · PhD Student	—
Daniel Jorde校友 · PhD Student	—
Mohammadreza Najafi校友 · PhD Student	—
Sofia Tijanic校友 · Graduate Student	—
Anton Sugolov校友 · Undergraduate Student	—

教育与履历

教育背景

1994
University of Karlsruhe
M.A.Sc. in Computer Science
1999
Humboldt University
PhD

任职经历

2001–
University of Toronto
Faculty
2009–
University of Toronto
Full Professor
2011-10 起
Technical University of Munich
Chair for Application and Middleware Systems
The Hong Kong University of Science and Technology
Visiting Professor

多伦多大学 Jeffrey Skoll Chair，领导 Middleware Systems Research Group；研究分布式系统、事件处理、云计算、机器学习系统和量子信息处理。

Alexander von Humboldt Foundation 的人物档案记载其出生于 1969 年。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

IBM（研究合作）

IBM 研究合作
2019–2023 IBM/NSERC 联合项目研究大规模云原生微服务架构。

学术影响与网络关注

计算标准

院系样本分位

累计引用73P73

h-index72P72

2024–2026 论文78P78

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 531 篇 · i10-index 223 · 截至 2026-10-17

De Kai

吳德愷

Professor of Engineering Education AI Education Ambassador Senior Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

博士毕业于: University of California, Berkeley · 1992
研究主线: Artificial intelligence；Human language and music technology；Computational linguistics；Natural language processing；Machine translation；Machine learning；Deep learning

累计引用: 4,397次
h-index: 32
2024–2026 论文: 1篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 1 篇）

2025 年1 篇

2025 · ACL (1)Defense Against Prompt Injection Attack by Leveraging Attack Techniques

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3556

Artificial intelligence；Human language and music technology；Computational linguistics；Natural language processing；Machine translation；Machine learning；Deep learning

合作成员3

成员	教育背景	研究方向与经历
Yuchen YanPhD	—
Serkan KumyolPhD	—
Tyler BarthMPhil	—

校友与去向6

成员	教育背景	研究方向与经历
Markus Saers校友 · Postdoc / PhD · 2011	2011 The Hong Kong University of Science and Technology Postdoc / PhD	Uppsala University 共同指导
Marine Carpuat校友 · PhD · 2008	2008 The Hong Kong University of Science and Technology PhD
Karteek Addanki校友 · PhD · 2016	2016 The Hong Kong University of Science and Technology PhD
Jackie Lo Chi Kiu校友 · PhD / MPhil · 2018	2018 The Hong Kong University of Science and Technology PhD / MPhil	MPhil 2009
Meriem Beloucif校友 · PhD · 2018	2018 The Hong Kong University of Science and Technology PhD
Ken Lee Wing Kuen校友 · MPhil · 2005	2005 The Hong Kong University of Science and Technology MPhil

教育与履历

教育背景

1984
University of California, San Diego
BS in Computer Engineering
1992
University of California, Berkeley
PhD in Computer Science
2002
Kellogg School of Management and HKUST
Executive MBA

任职经历

1986–1987
Technische Universität München
Visiting Researcher
1992 年前
University of Toronto
Postdoctoral Fellow
1992–
The Hong Kong University of Science and Technology
Faculty
1995
Bell Laboratories
Visiting Researcher
1995–1996
Columbia University
Visiting Researcher

结合人工智能、人类语言和音乐研究；参与统计机器翻译、自然语言处理与 AI 社会影响讨论。

1992 年获得 University of California, Berkeley 的 PhD in Computer Science。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

Bell Laboratories（访问研究）

Bell Laboratories 访问研究
1995 年访问研究经历。

学术影响与网络关注

计算标准

院系样本分位

累计引用47P47

h-index51P51

2024–2026 论文9P9

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 253 篇 · i10-index 69 · 截至 2026-10-17

Wai Ting LEUNG

梁煒霆

Associate Professor of Engineering Education Senior Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

博士毕业于: The Hong Kong University of Science and Technology · 2010
研究主线: Information retrieval；Data mining；Data visualization；Mobile computing

累计引用: 842次
h-index: 15
2024–2026 论文: 3篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 3 篇）

2026 年1 篇

2026 · Times Higher EducationHow to embed STEM across all disciplines? Start small: Build the STEM skills students will need for the future into your existing courses – with a little-and-often approach. Here’s how

2025 年2 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3548

Information retrieval；Data mining；Data visualization；Mobile computing

教育与履历

教育背景

2002
University of British Columbia
BSc in Computer Science
2004
The Hong Kong University of Science and Technology
MSc in Computer Science and Engineering
2010
The Hong Kong University of Science and Technology
PhD in Computer Science and Engineering

任职经历

The Hong Kong University of Science and Technology
Associate Professor of Engineering Education Senior Lecturer

研究搜索个性化、点击聚类、移动搜索和协同搜索，曾开设数据库与移动搜索课程。

学术影响与网络关注

计算标准

院系样本分位

累计引用23P23

h-index24P24

2024–2026 论文16P16

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 39 篇 · i10-index 19 · 截至 2026-10-17

Desmond Yau Chat TSOI

蔡友集

Associate Professor of Engineering Education Senior Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

实验室: Center for Engineering Education Innovation
博士毕业于: Nanyang Technological University · 2009
研究主线: Computer vision；Image processing；Multimedia technology；Vision and graphics；Web technologies and engineering

累计引用: —次
h-index: —
2024–2026 论文: —篇
在组成员: —人

研究方向

实验室与成员

Center for Engineering Education Innovation

所在单位: The Hong Kong University of Science and Technology
地点: Rm3553

Computer vision；Image processing；Multimedia technology；Vision and graphics；Web technologies and engineering

Center for Engineering Education Innovation

任 Associate Director，开展程序设计教育和自动化评分工具研究。

校友与去向16

成员	教育背景	研究方向与经历
LUK Sui Hei校友 · 本科毕业设计学生 · 2021 - 2022	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WU Ho Yin Hollis校友 · 本科毕业设计学生 · 2021 - 2022	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WONG Nok Kan校友 · 本科毕业设计学生 · 2021 - 2022	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WAT Po Hong校友 · 本科毕业设计学生 · 2021 - 2022	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LIANG Yu Yi校友 · 本科毕业设计学生 · 2020 - 2021	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SHIH Ho Yin校友 · 本科毕业设计学生 · 2020 - 2021	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SHUM Ka Chun校友 · 本科毕业设计学生 · 2020 - 2021	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
YEH Ka Chi校友 · 本科毕业设计学生 · 2020 - 2021	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LAW Man Hei校友 · 本科毕业设计学生 · 2019 - 2020	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LEUNG Hoi Ting校友 · 本科毕业设计学生 · 2019 - 2020	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SO Yan Tung校友 · 本科毕业设计学生 · 2019 - 2020	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHOW Tsz Ki校友 · 本科毕业设计学生 · 2019 - 2020	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LAU Kwun Pong校友 · 本科毕业设计学生 · 2018 - 2019	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHAN Hiu Tung校友 · 本科毕业设计学生 · 2018 - 2019	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
TAM Tung Man校友 · 本科毕业设计学生 · 2018 - 2019	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHOW Ka Chun校友 · 本科毕业设计学生 · 2018 - 2019	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。

教育与履历

教育背景

The Hong Kong University of Science and Technology
BEng in Computer Engineering
The Hong Kong University of Science and Technology
MPhil in Computer Science
导师 Michael S. Brown
2009
Nanyang Technological University
PhD in Computer Science
导师 Michael S. Brown

任职经历

2016–2022
The Hong Kong University of Science and Technology
Lecturer
2020–2025
The Hong Kong University of Science and Technology
Assistant Professor of Engineering Education
2022–
The Hong Kong University of Science and Technology
Senior Lecturer
2025–
The Hong Kong University of Science and Technology
Associate Professor of Engineering Education

与研究助理和毕业设计学生共同开发自动作业提交与评分系统；2022 年获 Michael G. Gale Medal for Distinguished Teaching。

指导方式与组内生活

教学与工具建设

与研究助理和毕业设计学生共同开发自动作业提交及评分系统，以实际课程使用检验教学工具。

本人选用的管理与教育理念

个人主页 Favourite Quotes 栏强调尊重他人，并选用给成员工作空间、克制干预的管理格言。

学术影响与网络关注

计算标准

院系样本分位

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 截至 2026-10-17（官网 2006 年论文的作者被展开为 Yee Chun Tsoi，教学研究记录另归 Yau Chat Tsoi；当前存在姓名展开与作者拆分问题。）

Gibson LAM

林傑遜

Assistant Professor of Engineering Education Senior Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

博士毕业于: The Hong Kong University of Science and Technology · 2012
研究主线: Web services；Multimedia technology；Internet technologies；IT in Education；Computer graphics

累计引用: 47次
h-index: 4
2024–2026 论文: 1篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 1 篇）

2026 年1 篇

2026 · Computer-Human Interaction Research and ApplicationsVisual Engagement in Immersive VR: Modeling Nonlinear Dynamics of Presence and Technology Acceptance

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3553

Web services；Multimedia technology；Internet technologies；IT in Education；Computer graphics

教育与履历

教育背景

2012
The Hong Kong University of Science and Technology
PhD in Computer Science and Engineering

任职经历

The Hong Kong University of Science and Technology
Assistant Professor of Engineering Education Senior Lecturer

Gong Project 与 NanoGong Voice Applet 共同创作者；教学覆盖 Python、Java、C、VBA、互联网计算和多媒体技术。

指导方式与组内生活

教育技术研发

公开列出 2026 年 Intelligent Examination Grading and Evaluation 项目，以及强化学习助手、生成式虚拟角色和互联网计算 MOOC 教学项目。

学术影响与网络关注

计算标准

院系样本分位

累计引用2P2

h-index2P2

2024–2026 论文9P9

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 27 篇 · i10-index 1 · 截至 2026-10-17

Cindy Xin LI

李昕

Assistant Professor of Engineering Education Senior Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

实验室: Center for Engineering Education Innovation
博士毕业于: The Hong Kong University of Science and Technology · 2005
研究主线: Computer networking；Engineering education；Computer architecture

累计引用: —次
h-index: —
2024–2026 论文: —篇
在组成员: —人

研究方向

实验室与成员

Center for Engineering Education Innovation

所在单位: The Hong Kong University of Science and Technology
地点: Rm3525

Computer networking；Engineering education；Computer architecture

Center for Engineering Education Innovation

本人简介列为中心创始成员，参与本科教育、学生咨询及 STEAM 外展。

教育与履历

教育背景

2005
The Hong Kong University of Science and Technology
PhD in Computer Science

任职经历

2005 年博士毕业后
The Hong Kong University of Science and Technology
Visiting Assistant Professor
The Hong Kong University of Science and Technology
UG Programs Coordinator / Senior Lecturer

负责本科项目协调、学生指导和毕业设计；参与工程教育创新及面向中小学生的 STEAM 教育。

指导方式与组内生活

本科生发展

个人简介将学生咨询、学业指导、课程设计、毕业设计及产业合作列为工作内容。

学术影响与网络关注

计算标准

院系样本分位

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 截至 2026-10-17（官网网络调度论文与博士论文分属 A5100353730、A5100353805；两个 Xin Li 实体均包含其他机构的同名论文。）

Alex Ngok LAM

林岳

Assistant Professor of Engineering Education Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

博士毕业于: McGill University · 2011
研究主线: Computer systems networking and telecommunications；Communication and internet policy；Computer networking；Distributed computing；Interconnection networks

累计引用: 8次
h-index: 2
2024–2026 论文: 0篇
在组成员: —人

研究方向

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3548

Computer systems networking and telecommunications；Communication and internet policy；Computer networking；Distributed computing；Interconnection networks

教育与履历

教育背景

The Chinese University of Hong Kong
BEng
University of California
MS
2011
McGill University
PhD in Computer Engineering

任职经历

The Hong Kong University of Science and Technology
Assistant Professor of Engineering Education Lecturer

研究 Service Overlay Network 的经济设计、服务定价与端到端服务质量。

2011 年获得 McGill University 的 PhD in Computer Engineering。

学术影响与网络关注

计算标准

院系样本分位

累计引用1P1

h-index1P1

2024–2026 论文4P4

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 8 篇 · i10-index 0 · 截至 2026-10-17

Cecia Ki CHAN

陳祈

Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

博士毕业于: The Chinese University of Hong Kong · 2010
研究主线: Information extraction；Text mining；Big data

累计引用: —次
h-index: —
2024–2026 论文: —篇
在组成员: —人

研究方向

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3525

Information extraction；Text mining；Big data

校友与去向42

成员	教育背景	研究方向与经历
LUK Sui Hei校友 · 本科毕业设计学生 · 2021 - 2022	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WU Ho Yin Hollis校友 · 本科毕业设计学生 · 2021 - 2022	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WONG Nok Kan校友 · 本科毕业设计学生 · 2021 - 2022	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
WAT Po Hong校友 · 本科毕业设计学生 · 2021 - 2022	—	VR Game Development using Unity/Unreal and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LIANG Yu Yi校友 · 本科毕业设计学生 · 2020 - 2021	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SHIH Ho Yin校友 · 本科毕业设计学生 · 2020 - 2021	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SHUM Ka Chun校友 · 本科毕业设计学生 · 2020 - 2021	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
YEH Ka Chi校友 · 本科毕业设计学生 · 2020 - 2021	—	VR Game Development using Unity and Mobile Sensing Device (Co-supervised with Dr. Desmond TSOI) Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LEUNG Hang Kam校友 · 本科毕业设计学生 · 2020 - 2021	—	SumNews: Automatic News Summarization System
LEUNG Hin Fung校友 · 本科毕业设计学生 · 2020 - 2021	—	SumNews: Automatic News Summarization System
TO Ming San校友 · 本科毕业设计学生 · 2020 - 2021	—	SumNews: Automatic News Summarization System
CHAU Shun Wai校友 · 本科毕业设计学生 · 2020 - 2021	—	SumNews: Automatic News Summarization System
TANG Cheuk Kit校友 · 本科毕业设计学生 · 2020 - 2021	—	Mobile App for Health and Well Being Best Computer Engineering FYP Award
CHAN Sze Long校友 · 本科毕业设计学生 · 2020 - 2021	—	Mobile App for Health and Well Being Best Computer Engineering FYP Award
ZOU Zhao Ning校友 · 本科毕业设计学生 · 2020 - 2021	—	Mobile App for Health and Well Being Best Computer Engineering FYP Award
MAK Yuet Hang校友 · 本科毕业设计学生 · 2020 - 2021	—	Virtual Butler (VR): Automated Personal Assistant
LEUNG Chun Ting Nick校友 · 本科毕业设计学生 · 2019 - 2020	—	USTravel Advisor
SUEN Tsz Wing校友 · 本科毕业设计学生 · 2019 - 2020	—	USTravel Advisor
WONG Kit Ming John校友 · 本科毕业设计学生 · 2019 - 2020	—	USTravel Advisor
WONG Man Long Anson校友 · 本科毕业设计学生 · 2019 - 2020	—	USTravel Advisor
Perry Hayes LO校友 · 本科毕业设计学生 · 2019 - 2020	—	A Mobile Game for Promoting Health and Well-Being
Ling Chung CHEUNG校友 · 本科毕业设计学生 · 2019 - 2020	—	A Mobile Game for Promoting Health and Well-Being
Sze Sze TSE校友 · 本科毕业设计学生 · 2019 - 2020	—	A Mobile Game for Promoting Health and Well-Being
Ka Chun YAU校友 · 本科毕业设计学生 · 2019 - 2020	—	A Mobile Game for Promoting Health and Well-Being
CHAN Tin Hang校友 · 本科毕业设计学生 · 2019 - 2020	—	A Smart Medicine Reminder and Pill Tracking System
CHU Long Wai校友 · 本科毕业设计学生 · 2019 - 2020	—	A Smart Medicine Reminder and Pill Tracking System
YAN Kuen Chiu校友 · 本科毕业设计学生 · 2019 - 2020	—	A Smart Medicine Reminder and Pill Tracking System
LAW Man Hei校友 · 本科毕业设计学生 · 2019 - 2020	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LEUNG Hoi Ting校友 · 本科毕业设计学生 · 2019 - 2020	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
SO Yan Tung校友 · 本科毕业设计学生 · 2019 - 2020	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHOW Tsz Ki校友 · 本科毕业设计学生 · 2019 - 2020	—	TRAP: A VR and Mobile Cross-platform Networking Game (Co-supervised with Dr. Desmond TSOI) Best Computer Engineering FYP Award - Champion Cecia Ki Chan 与 Desmond Tsoi 共同指导。
LAU Kwun Pong校友 · 本科毕业设计学生 · 2018 - 2019	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHAN Hiu Tung校友 · 本科毕业设计学生 · 2018 - 2019	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
TAM Tung Man校友 · 本科毕业设计学生 · 2018 - 2019	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
CHOW Ka Chun校友 · 本科毕业设计学生 · 2018 - 2019	—	Multiplayer VR Game Development with Leap Motion (Co-supervised with Dr. Desmond TSOI) Best FYP Video Award of the Department of Computer Science and Engineering Cecia Ki Chan 与 Desmond Tsoi 共同指导。
FUNG Yuen Laam校友 · 本科毕业设计学生 · 2018 - 2019	—	A Mobile App for Health-related Recommendations: Helpthy
LAM Tsz Yeung校友 · 本科毕业设计学生 · 2018 - 2019	—	A Mobile App for Health-related Recommendations: Helpthy
WONG Ho Chun校友 · 本科毕业设计学生 · 2018 - 2019	—	A Mobile App for Health-related Recommendations: Helpthy
YIP Tsz Hin校友 · 本科毕业设计学生 · 2018 - 2019	—	A Mobile App for Health-related Recommendations: Helpthy
Lau Wing Shing校友 · 本科毕业设计学生 · 2018 - 2019	—	Mobile Application for Diet-based Recipe Recommendation
Leung Chun Lok校友 · 本科毕业设计学生 · 2018 - 2019	—	Mobile Application for Diet-based Recipe Recommendation
Wong Heng Kwong校友 · 本科毕业设计学生 · 2018 - 2019	—	Mobile Application for Diet-based Recipe Recommendation

教育与履历

教育背景

The Chinese University of Hong Kong
BEng in Systems Engineering and Engineering Management
The Chinese University of Hong Kong
MPhil in Systems Engineering and Engineering Management
2010
The Chinese University of Hong Kong
PhD in Systems Engineering and Engineering Management

任职经历

2012–
The Hong Kong University of Science and Technology
Lecturer

研究信息抽取、文本挖掘、知识系统；指导 VR、健康应用和新闻摘要等本科毕业设计。

学术影响与网络关注

计算标准

院系样本分位

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 截至 2026-10-17（官网的共指消解和因果知识抽取论文归于 Ki Chan 实体；该实体同时包含海洋抗真菌产物、生物材料支架等其他作者的论文。）

Tsz Him CHEUNG

張梓謙

Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

博士毕业于: The Hong Kong University of Science and Technology · 2025
研究主线: 数据中心 AI 与数据效率；AI 与编程教育

累计引用: 87次
h-index: 4
2024–2026 论文: 1篇
在组成员: —人

研究方向

数据中心 AI 与数据效率
研究低数据场景的自动数据增强，以及改善模型性能与可扩展性的数据高效方法。
AI 与编程教育
教学与学术兴趣包括机器学习、大语言模型、agentic AI 和编程教育；参与智能评分、个性化反馈、课程设计与教学创新。

代表论文与近期发表

2024–2026 论文目录（共 1 篇）

2024 年1 篇

2024 · IEEE Transactions on Neural Networks and Learning Systems, v. 35, (10), p. 13185-13205A Survey of Automated Data Augmentation for Image Classification: Learning to Compose, Mix, and Generate

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm2538

Teaching Development Projects

Intelligent Examination Grading and Evaluation（On-going）

Final Year Projects (FYP)

Intelligent Grading and Personalized Feedback for Active Learning（On-going）；AI-Assisted Snowboarding Technique Analysis Using Computer Vision（On-going）；Embodied AI with the SO-100 Robotic Arm（On-going）；An LLM-Powered Gamified Platform for Adaptive and Engaging Mathematics Learning（2025-2026）；Enhancing Museum Experience Using LLM-Based Chatbot（2025-2026）

Co-op Projects (with industry partners)

Data Analytics - Deloitte Forensic（On-going）；Development and Optimization of Generative AI Agents for Enterprise Workflows（On-going）；Legal AI Agent（On-going）；Thematic Stock Indexing Using AI（On-going）；VLM in Construction（On-going）；Project Matthew: A Forex Algorithmic Trading System（2025-2026）；AI Digital Human Solutions（2025-2026）；Project NAIA: A Passenger Flow Prediction System（2025-2026）

MSc Projects & Capstones

[ARIN6900] Accelerating Software Development with AI Agents（Spring 2026）；[MTLE 6980] YouLink: Intelligent Conversational Companion System (2nd Reader)（Fall 2025）

Undergraduate Research & Independent Study

[COMP4971C] Exploring AI-Assisted Grading（Spring 2026）

教育与履历

教育背景

2018
The Hong Kong University of Science and Technology
BEng in Computer Science
BBA in General Business Management
2025
The Hong Kong University of Science and Technology
PhD in Computer Science
导师 Dit-Yan Yeung

任职经历

The Hong Kong University of Science and Technology
Lecturer

研究低数据场景的数据增强和数据中心 AI；参与智能评分、个性化反馈与教学创新工作。

博士答辩于 2025 年 1 月 16 日举行，论文研究自动数据增强，导师为 Dit-Yan Yeung。

指导方式与组内生活

教学实践

个人主页强调教学法、课程开发和学生指导，并列出智能评分与个性化反馈工作。

项目制教学

公开指导页列出 5 个 FYP、8 个产业 Co-op 项目、2 个 MSc 项目与 1 个本科独立研究项目；主题包括智能评分、视觉动作分析、具身 AI、数学学习、博物馆聊天机器人和企业 Agent。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

Co-op 指导项目包括 Deloitte Forensic 数据分析、企业工作流生成式 AI Agent、法律 AI Agent、主题股票索引、建筑 VLM、外汇算法交易与客流预测。

Deloitte Forensic 产业实习项目
指导 Data Analytics - Deloitte Forensic，项目页标为 On-going。

学术影响与网络关注

计算标准

院系样本分位

累计引用4P4

h-index2P2

2024–2026 论文9P9

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 6 篇 · i10-index 2 · 截至 2026-10-17

Maocheng LI

李懋成

Lecturer · 教学轨教师

个人主页 · 学校档案 · 档案

博士毕业于: The Hong Kong University of Science and Technology · 2025
研究主线: Spatial crowdsourcing；Differential privacy；Secure multiparty computation

累计引用: 70次
h-index: 5
2024–2026 论文: 1篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 1 篇）

2025 年1 篇

2025 · VLDB J.How good are multi-dimensional learned indexes? An experimental survey

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3558

Spatial crowdsourcing；Differential privacy；Secure multiparty computation

教育与履历

教育背景

The Hong Kong University of Science and Technology
BSc
The Hong Kong University of Science and Technology
MPhil
导师 Lionel Ni
2025
The Hong Kong University of Science and Technology
PhD
导师 Lei Chen

任职经历

2026–
The Hong Kong University of Science and Technology
Lecturer

研究空间众包、差分隐私和安全多方计算；博士导师为 Lei Chen，MPhil 导师为 Lionel Ni。

2025 年获得 The Hong Kong University of Science and Technology 的 PhD in Computer Science and Engineering。

学术影响与网络关注

计算标准

院系样本分位

累计引用3P3

h-index4P4

2024–2026 论文9P9

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 12 篇 · i10-index 2 · 截至 2026-10-17

GitHub · maocheng个人账号

关注者: 1人
Stars: 0
公开仓库: 1

Lin LI

李琳

Research Assistant Professor · 研究轨教师

个人主页 · 学校档案 · 档案

博士毕业于: Zhejiang University · 2024
研究主线: Multimodal foundation models；Generative AI；Embodied AI；Scene understanding

累计引用: 327次
h-index: 9
2024–2026 论文: 18篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 18 篇）

2026 年8 篇

2025 年8 篇

2024 年2 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3502

Multimodal foundation models；Generative AI；Embodied AI；Scene understanding

教育与履历

教育背景

2024
Zhejiang University
PhD in Computer Science and Technology
导师 Jun Xiao

任职经历

2024–2026
AI Chip Center for Emerging Smart Systems (ACCESS)
Postdoctoral Fellow
The Hong Kong University of Science and Technology
Research Assistant Professor

博士阶段师从 Jun Xiao；在 ACCESS 与 Tim Cheng 工作，并与 Long Chen 合作，研究多模态推理、开放世界感知和场景理解。

学术影响与网络关注

计算标准

院系样本分位

累计引用12P12

h-index13P13

2024–2026 论文39P39

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 30 篇 · i10-index 8 · 截至 2026-10-17

GitHub · muktilin个人账号

关注者: 12人
Stars: 37
公开仓库: 4

Songfan LI

李松璠

Research Assistant Professor · 研究轨教师

个人主页 · 学校档案 · 档案

实验室: Low Altitude Economy Research Center (LAERC)
博士毕业于: University of Electronic Science and Technology of China · 2022
研究主线: Wireless Networking；Internet of Things (IoT)；Sensor Networks

累计引用: 142次
h-index: 8
2024–2026 论文: 13篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 13 篇）

2026 年3 篇

2026 · IEEE Transactions on Mobile Computing, article number 11454578Remote Intermittency Control for RF-powered Devices via Backscatter Communication
2026 · ICDCSTriLoRa: Improving LoRa PHY Data Rate for High-Density LoRaWAN
2026 · SenSys 2026 - Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, Part of CPS-IoTWeek 2026, Association for Computing Machinery, Inc, 2026, p. 115-129μman:Towards Device-Agnostic Power Management for Battery-free IoT

2025 年5 篇

2025 · IEEE Transactions on Networking, v. 34, p. 2529-2543, article number 11314789Bringing LoRa downlink to backscatter devices
2025 · MobiComDemo: AeroRelief: UAV-based Emergency Rescue for Time-Critical Missions
2025 · IEEE Transactions on Mobile Computing, v. 24, (10), p. 10186-10199, article number 10990194Embedding Chips Over the Air: Rethink IoT Architecture for Ubiquitous Sensing
2025 · ACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking, Association for Computing Machinery, Inc, 2025, p. 63-77Hedgehog: Pushing the Range Limits of Ultrasonic Microphone Jammers
2025 · IEEE Trans. Mob. Comput.LoRaMirror: Illuminating Shadowed Spots in Urban LPWAN With Reflective Smart Surfaces

2024 年5 篇

2024 · IEEE Transactions on Computers, v. 73, (3), p. 747-763A Lightweight and Chip-Level Reconfigurable Architecture for Next-Generation IoT End Devices
2024 · MobiSysFace Recognition In Harsh Conditions: An Acoustic Based Approach
2024 · IEEE Transactions on Mobile Computing, v. 23, (2), p. 1689-1700Frequency Scaling Meets Intermittency: Optimizing Task Rate for RFID-Scale Computing Devices
2024 · SenSys 2024 - Proceedings of the 2024 ACM Conference on Embedded Networked Sensor Systems, Association for Computing Machinery, Inc, 2024, p. 211-224Processor-Sharing Internet of Things Architecture for Large-scale Deployment
2024 · IEEE Transactions on Dependable and Secure Computing, v. 21, (4), p. 2434-2447Watch Out Your Thumb Drive: Covert Data Theft From Portable Data Storage via Backscatter

实验室与成员

Low Altitude Economy Research Center (LAERC)

所在单位: The Hong Kong University of Science and Technology
地点: Rm3657

Wireless Networking；Internet of Things (IoT)；Sensor Networks

Low Altitude Economy Research Center (LAERC)

CSE 与 LAERC 研究人员；与 Mo Li 合作开展低功耗无线研究。

教育与履历

教育背景

2022
University of Electronic Science and Technology of China
PhD in Computer Science
导师 Li Lu

任职经历

2021-05–2022-09
Nanyang Technological University
Visiting Student
2023-07–2023-10
Nanyang Technological University
Research Fellow
The Hong Kong University of Science and Technology
Postdoctoral Fellow
The Hong Kong University of Science and Technology
Research Assistant Professor

与 Mo Li 合作，研究低功耗通信、反向散射、RFID、LoRa 和无电池物联网；同时隶属 Low Altitude Economy Research Center。

学术影响与网络关注

计算标准

院系样本分位

累计引用7P7

h-index9P9

2024–2026 论文32P32

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 27 篇 · i10-index 5 · 截至 2026-10-17

Changsheng LU

盧長勝

Research Assistant Professor · 研究轨教师

个人主页 · 学校档案 · 档案

博士毕业于: Australian National University · 2025
研究主线: Computer Vision；Machine Learning；Robotics；Multimodal Generic Vision；Foundation Models；Embodied Intelligence；Zero- and Few-Shot Learning；Transfer Learning

累计引用: 472次
h-index: 10
2024–2026 论文: 4篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 4 篇）

2026 年4 篇

2026 · Computer Vision – ECCV 2026Distribution Matching Distillation Meets Reinforcement Learning
2026 · International Journal of Computer Vision, v. 134, (2), p. 1-22, article number 63Exploiting Class-agnostic Visual Prior for Few-shot Keypoint Detection
2026 · Computer Vision – ECCV 2026OpenSubject: Leveraging Video-Derived Identity and Diversity Priors for Subject-driven Image Generation and Manipulation
2026 · CVPRVisionLeaf: Entropy-Guided Leaf-First Reasoning for Efficient and Accurate Think-with-Image

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: IAS-2032

Computer Vision；Machine Learning；Robotics；Multimodal Generic Vision；Foundation Models；Embodied Intelligence；Zero- and Few-Shot Learning；Transfer Learning

教育与履历

教育背景

2017
Southeast University
BE in Automation
2020
Shanghai Jiao Tong University
MS in Control Science and Engineering
2025
Australian National University
PhD in Computer Science
导师 Piotr Koniusz; Liang Zheng; Stephen Gould

任职经历

The Hong Kong University of Science and Technology
Research Assistant Professor

与 Jiaya Jia 工作，并与 Anton van den Hengel 密切合作；研究通用视觉、视觉语言动作模型、世界模型与少样本学习。

学术影响与网络关注

计算标准

院系样本分位

累计引用18P18

h-index17P17

2024–2026 论文19P19

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 43 篇 · i10-index 10 · 截至 2026-10-17

GitHub · AlanLuSun个人账号

关注者: 141人
Stars: 802
公开仓库: 24

Wenjun LYU

呂文俊

Research Assistant Professor · 研究轨教师

个人主页 · 学校档案 · 档案

博士毕业于: Rutgers University · 2026
研究主线: Human-centric cyber-physical systems；Embodied intelligence；Human-robot collaboration；Intelligent logistics

累计引用: 422次
h-index: 11
2024–2026 论文: 29篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 29 篇）

2026 年7 篇

2025 年11 篇

2024 年11 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3657

Human-centric cyber-physical systems；Embodied intelligence；Human-robot collaboration；Intelligent logistics

教育与履历

教育背景

Central South University
Bachelor's degree
Central South University
MS
导师 Jiawei Huang
2026
Rutgers University
PhD in Computer Science
导师 Desheng Zhang

任职经历

The Hong Kong University of Science and Technology
Research Assistant Professor

与 Mo Li 工作，并与 Tian He、Yunhuai Liu、Shuai Wang 合作；研究以人为中心的网络物理系统和具身智能体。

学术影响与网络关注

计算标准

院系样本分位

累计引用16P16

h-index20P20

2024–2026 论文53P53

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 54 篇 · i10-index 13 · 截至 2026-10-17

GitHub · wenjun95个人账号

关注者: 0人
Stars: 11
公开仓库: 3

Wentao XIE

謝文濤

Research Assistant Professor · 研究轨教师

个人主页 · 学校档案 · 档案

博士毕业于: The Hong Kong University of Science and Technology · 2024
研究主线: Ubiquitous computing；Machine learning for sensing systems；Smart healthcare；Human-computer interaction on edges

累计引用: 127次
h-index: 6
2024–2026 论文: 14篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 14 篇）

2026 年2 篇

2025 年7 篇

2025 · Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.ACLGuard: Physics-Aware Knee Loading Monitoring System for Anterior Cruciate Ligament Injury Prevention Training
2025 · ECCAI 2025 - Proceedings of the ACM Conext 2025 Workshop on the Edge-Cloud Collaboration for AI, Co-Located with CONEXT 2025, Association for Computing Machinery, Inc, 2025, p. 3-4Decoding Your Body with Ubiquitous Sensing: Wearable and Contactless Perception for Health and beyond
2025 · MobiComEasySpiro: Assessing Lung Function via Arbitrary Exhalations on Commodity Earphones
2025 · MobiComESPIRO: Natural Pulmonary Function Monitoring via Earphone-Acquired Speech
2025 · MobiComHome-based Dry Eye Assessment via Blink Kinematics Using mmWave and Clinical Knowledge Distillation
2025 · Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.MobHAR: Source-free Knowledge Transfer for Human Activity Recognition on Mobile Devices
2025 · Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.SputumLocator: Enhancing Airway Clearance with Auscultation-based Sputum Localization

2024 年5 篇

2024 · PerComBLEAR: Practical Wireless Earphone Tracking under BLE protocol
2024 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v. 8, (3), article number ART128EyeGesener: Eye Gesture Listener for Smart Glasses Interaction Using Acoustic Sensing
2024 · BSNHypergradient Descent Based Multi-Task Learning on Auscultation Point Guided Respiratory Sound Classification
2024 · SenSys 2023 - Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems, Association for Computing Machinery, Inc, 2024, p. 251-264PDAssess: A Privacy-preserving Free-speech based Parkinson's Disease Daily Assessment System
2024 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v. 7, (4), article number 191RimSense: Enabling Touch-based Interaction on Eyeglass Rim Using Piezoelectric Sensors

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3502

Ubiquitous computing；Machine learning for sensing systems；Smart healthcare；Human-computer interaction on edges

教育与履历

教育背景

Southern University of Science and Technology
Bachelor's in Computer Science
2024
The Hong Kong University of Science and Technology
PhD in Computer Science and Engineering
导师 Qian Zhang; Jin Zhang

任职经历

2026-12 中旬起
Hong Kong Baptist University
Assistant Professor（本人公布的到任计划）
The Hong Kong University of Science and Technology
Research Assistant Professor

研究可穿戴交互、日常健康监测和真实场景部署，结合传感器硬件、AI 模型与实证用户研究。

2024 年获得 The Hong Kong University of Science and Technology 的 PhD in Computer Science and Engineering。

学术影响与网络关注

计算标准

院系样本分位

累计引用5P5

h-index7P7

2024–2026 论文33P33

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 23 篇 · i10-index 5 · 截至 2026-10-17

GitHub · xie-wentao个人账号

关注者: 19人
Stars: 1
公开仓库: 21

Linping YUAN

袁林萍

Research Assistant Professor · 研究轨教师

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: VisLab AR/VR Team
博士毕业于: The Hong Kong University of Science and Technology · 2024
研究主线: Virtual and augmented reality；Data visualization；Human-computer interaction；Artificial intelligence

累计引用: 382次
h-index: 9
2024–2026 论文: 19篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 19 篇）

2026 年5 篇

2026 · IEEE Transactions on Visualization and Computer Graphics, article number 11370398DrainScope: Visual Analytics of Urban Drainage System
2026 · CHISketchDynamics: Exploring Free-Form Sketches for Dynamic Intent Expression in Animation Generation
2026 · CHI 2026 - Extended Abtracts of the 2026 CHI Conference on Human Factors in Computing SystemsThe Role of AI in HCI Education
2026 · VRTowards Understanding Time-Varying Spatial 3D Data Analysis with Animation and Small Multiples in Virtual Reality and Desktop
2026 · CHIWearable AR for Restorative Breaks: How Interactive Narrative Experiences Support Relaxation for Young People

2025 年9 篇

2025 · CHI"You'll Be Alice Adventuring in Wonderland!" Processes, Challenges, and Opportunities of Creating Animated Virtual Reality Stories
2025 · CHIDysVis: A User-Centred Data Visualization System for Dyslexia Pre-screening
2025 · CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan: Association for Computing Machinery, 2025, p. 1-8article number 354Intuit: Explain Quantum Computing Concepts via AR-based Analogy
2025 · UIST 2025 - Proceedings of the 38th Annual ACM Symposium on User Interface Software and TechnologyKinemaFX: A Kinematic-Driven Interactive System for Particle Effect Exploration and Customization
2025 · UISTNeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification
2025 · IEEE Trans. Vis. Comput. Graph.Personalized Dual-Level Color Grading for 360-degree Images in Virtual Reality
2025 · Proceedings - 2025 IEEE 18th Pacific Visualization Conference, PacificVis 2025, IEEE Computer Society, 2025, p. 224-234article number 11021050ST 2 VR: An Interactive Authoring System for SpatioTemporal STorytelling in Virtual Reality with Hierarchical Narrative Structure
2025 · UIST 2025 - Proceedings of the 38th Annual ACM Symposium on User Interface Software and TechnologyVideoCraft: A Mixed Reality-empowered Video Generation Workflow with Spatial Layer Editing for Concept Video Creation
2025 · IEEE Trans. Vis. Comput. Graph.VisTellAR: Embedding Data Visualization to Short-Form Videos Using Mobile Augmented Reality

2024 年5 篇

2024 · UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, Inc, 2024, article number 99AniCraft: Crafting Everyday Objects as Physical Proxies for Prototyping 3D Character Animation in Mixed Reality
2024 · Int. J. Hum. Comput. Stud.From reader to experiencer: Design and evaluation of a VR data story for promoting the situation awareness of public health threats
2024 · VRGenerating Virtual Reality Stroke Gesture Data from Out-of-Distribution Desktop Stroke Gesture Data
2024 · Int. J. Hum. Comput. Interact.PoeticAR: Reviving Traditional Poetry of the Heritage Site of Jichang Garden via Augmented Reality
2024 · CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems, Association for Computing Machinery, 2024, article number 612VirtuWander: Enhancing Multi-modal Interaction for Virtual Tour Guidance through Large Language Models

实验室与成员

VisLab AR/VR Team

所在单位: The Hong Kong University of Science and Technology
地点: UC-101

Virtual and augmented reality；Data visualization；Human-computer interaction；Artificial intelligence

VisLab AR/VR Team

成员自述为团队核心成员，开发 AR/VR 校园、沉浸式可视化与创作支持应用。

教育与履历

教育背景

2019
Xi'an Jiaotong University
Bachelor's in Software Engineering
2024
The Hong Kong University of Science and Technology
PhD in Computer Science and Engineering
导师 Huamin Qu

任职经历

2024-01 起
University of Cambridge, Intelligent Interactive Systems Group
Visiting Student
2024-09–
The Hong Kong University of Science and Technology
Research Assistant Professor

HKUST VisLab AR/VR 团队核心成员；2024 年赴 Cambridge 跟随 Per Ola Kristensson 访问，研究沉浸式可视化与创作支持。

学术影响与网络关注

计算标准

院系样本分位

累计引用14P14

h-index13P13

2024–2026 论文42P42

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 41 篇 · i10-index 9 · 截至 2026-10-17

Jie ZHANG

張婕

Research Assistant Professor · 研究轨教师

个人主页 · 实验室网站 · 学校档案 · 档案

实验室: Pervasive Intelligence Lab (PEI Lab)
博士毕业于: The Hong Kong Polytechnic University · 2022
研究主线: Edge AI；Machine Learning Systems；Privacy-Preserving Computing

累计引用: —次
h-index: —
2024–2026 论文: 39篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 39 篇）

2026 年10 篇

2025 年13 篇

2025 · IEEE Internet Things J.Advanced Product Personalization in Blockchain-Enabled Metaverse: A Diffusion Model for Automatic Style Generation
2025 · ACM MultimediaBoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
2025 · Paper presented at 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore, p. 99467-99487Causm: Causally Motivated Sycophancy Mitigation For Large Language Models
2025 · IEEE Trans. Neural Networks Learn. Syst.Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning
2025 · NeurIPSDiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
2025 · ICLRExploring Prosocial Irrationality for LLM Agents: A Social Cognition View
2025 · IEEE Trans. Neural Networks Learn. Syst.Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning
2025 · IEEE Internet of Things Journal, article number 11095279Large Language Model Offloading using Active Inference in 6G Symbiotic IoT
2025 · IEEE Internet of Things Journal, v. 12, (23), p. 49754 - 49767, article number 11145966Metaverse Oriented User Preference Recom-mendation Systems Based on DSD-Transformer
2025 · IEEE Trans. Mob. Comput.Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning
2025 · IEEE Wireless Communications, article number 11318330MycoStore:A Layer-Sharing Neural Network Model Repository for 6G Edge Intelligence
2025 · Proceedings of the 7th ACM International Conference on Multimedia in Asia, MMAsia 2025Uni-IL: Unified Incremental Learning of Vision-Language Models via Mixture of Attribute-Guided Experts
2025 · ICCVVA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting

2024 年16 篇

2024 · IEEE Trans. Ind. InformaticsA Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era
2024 · ICMLAmend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
2024 · ICMLCausally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
2024 · Proceedings of the AAAI Conference on Artificial Intelligence, v. 38, (10), p. 10989-10997Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
2024 · CVPRDiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
2024 · Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024Dual Expert Distillation Network for Generalized Zero-Shot Learning
2024 · IEEE Netw.Human Cognition Modeling for the Metaverse-Oriented Design System
2024 · ICLRLearning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
2024 · AAAIOn the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
2024 · INFOCOMOTAS: An Elastic Transformer Serving System via Token Adaptation
2024 · IJCAIParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
2024 · IEEE Trans. ComputersSafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments
2024 · ACM MultimediaSFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization
2024 · IEEE Network, v. 39, (3), p. 270-276, article number 10772197Social Group Oriented Recommendation Systems in Wireless Edge-Empowered Metaverse
2024 · Neural NetworksTowards performance-maximizing neural network pruning via global channel attention
2024 · NeurIPSTowards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing

实验室与成员

Pervasive Intelligence Lab (PEI Lab)

所在单位: The Hong Kong University of Science and Technology
地点: Rm3502

Edge AI；Machine Learning Systems；Privacy-Preserving Computing

Pervasive Intelligence Lab (PEI Lab)

与 Song Guo 合作开展边缘 AI、分布式学习及基础模型研究。

教育与履历

教育背景

China University of Geosciences, Wuhan
BE
2022
The Hong Kong Polytechnic University
PhD in Computing
导师 Song Guo
China University of Geosciences, Wuhan
ME

任职经历

The Hong Kong University of Science and Technology
Research Assistant Professor

博士导师为 Song Guo；研究边缘 AI、分布式学习、基础模型效率与隐私保护计算。

学术影响与网络关注

计算标准

院系样本分位

2024–2026 论文61P61

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 截至 2026-10-17（官网 2023 年与 2025 年论文分属不同 Jie Zhang 作者实体，部分实体混入生命科学方向的同名论文。）

GitHub · judy-jiezhang个人账号

关注者: 0人
Stars: 0
公开仓库: 4

Zhenguo LI

Adjunct Professor · 兼任教师

个人主页 · 学校档案 · 档案

博士毕业于: The Chinese University of Hong Kong
研究主线: Machine learning；Generative AI；AI agent；AI for mathematics

累计引用: 10,473次
h-index: 46
2024–2026 论文: 50篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 50 篇）

2026 年3 篇

2025 年18 篇

2024 年29 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Machine learning；Generative AI；AI agent；AI for mathematics

教育与履历

教育背景

Peking University
BS in Mathematics
Peking University
MS in Mathematics
The Chinese University of Hong Kong
PhD in Machine Learning
导师 Xiaoou Tang

任职经历

Columbia University
Associate Research Scientist
Huawei Noah's Ark Lab
Director, AI Theory Lab / Principal Researcher
The Hong Kong University of Science and Technology
Adjunct Professor

任 Huawei Noah’s Ark Lab 的 AI Theory Lab 主任；研究生成式 AI 基础、AI 数学推理与智能体。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

Huawei（任职）

Huawei 任职
Noah’s Ark Lab 的 AI Theory Lab 主任与 Principal Researcher。

学术影响与网络关注

计算标准

院系样本分位

累计引用71P71

h-index69P69

2024–2026 论文69P69

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 240 篇 · i10-index 116 · 截至 2026-10-17

GitHub · zhenguol个人账号

关注者: 0人
Stars: 0
公开仓库: 3

Yu-Wing TAI

戴宇榮

Adjunct Professor · 兼任教师

个人主页 · 学校档案 · 档案

实验室: Visual AI Lab @ Dartmouth
博士毕业于: National University of Singapore · 2009
研究主线: Deep learning；Computer vision；Image/video processing

累计引用: 18,136次
h-index: 71
2024–2026 论文: 46篇
在组成员: 9人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 46 篇）

2026 年18 篇

2025 年17 篇

2024 年11 篇

实验室与成员

Visual AI Lab @ Dartmouth

博士生: 3
RA、访问与其他: 6

所在单位: Dartmouth College
地点: ECSC Building 208, Dartmouth College

Deep learning；Computer vision；Image/video processing

在组成员9

成员	教育背景	研究方向与经历
Junwei ZhouPhD Student · Fall 2025– Google Scholar · GitHub GitHub 关注 27 Stars 57	2025 Huazhong University of Science and Technology BEng Dartmouth College PhD（在读）	三维与四维视觉、生成模型、空间与物理理解、世界模型博士导师为 Yu-Wing Tai；此前与 UC Merced 的 Ming-Hsuan Yang、Lu Qi、Xueting Li 及 HUST 的 Xinggang Wang 合作。
Ziyang MaiPhD Student · Fall 2025– GitHub · Google Scholar GitHub 关注 13 Stars 10	2023 Shenzhen University Honors Bachelor in Computer Science 2025 The Hong Kong University of Science and Technology (Guangzhou) MPhil Dartmouth College PhD（在读）	视频生成 Adobe Research, Seattle · Research Scientist Intern2026-06–2026-09 本科与 Hui Huang、Xu Wang 合作；MPhil 导师 Ying-Cong Chen；博士导师 Yu-Wing Tai。
Yuyao ZhangPhD Student · Fall 2024– Google Scholar	Dartmouth College PhD（在读） 2023 École polytechnique fédérale de Lausanne Exchange 2024 The Hong Kong University of Science and Technology BSc in Data Science and Technology	多模态生成模型、高效扩散模型、多模态 Agent 系统本科与 Xiaomeng Li、Yu-Wing Tai、Chi-Keung Tang 合作；2023-06 至 2024-05 任 HKUST RA；2022-09 至 2023-02 在 EPFL 交换。博士导师 Yu-Wing Tai。
Xinyi WangMS Student · Fall 2026–	—
Lihan LiMS Student · Fall 2026–	—
Benson WangMS Student · Fall 2026–	—
Wanning HeMS Student · Winter 2026–	—
Yu ShiMS Student · Winter 2026–	—
Dung D. TranUndergraduate Student · Spring 2026–	—

校友与去向21

成员	教育背景	研究方向与经历
Yiwen Yan校友 · MS Student · Fall 2025–Summer 2026	—
Youran Qu校友 · MS Student · Winter 2026–Spring 2026	—
Yuening Cai校友 · MS Student · Fall 2025–Spring 2026	—
Alexandar Huang-Menders校友 · Undergraduate / MS Student · Fall 2024–Spring 2025（本科）；Fall 2025–Winter 2026（MS）	—	本科荣誉论文《SmartAvatar: Text- and Image-Guided Human Avatar Generation with VLM AI Agents》 Engineer, Palantir, New York City
Thang Nguyen校友 · MS Student · Summer 2024–Summer 2025	—	与 Dartmouth Thayer School of Engineering 的 Peter Chin 共同指导。
Jake Jump校友 · Undergraduate Student · Winter 2026–Spring 2026	—	本科荣誉论文《Reliability-Aware Mixture-of-Agents for Robust AI-Generated Image Detection》
Andy Xu校友 · Undergraduate Student · Winter 2026–Spring 2026	—	本科荣誉论文《Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems》
Sonia Bendre校友 · Undergraduate Student · Fall 2024–Spring 2025	—	本科荣誉论文《Scalable Linear Attention for Video Diffusion with Positional Encoding Interpolation》 Associate Product Manager, Databricks, San Francisco
Xinhang Liu校友 · Former advisee 简历 · GitHub · Google Scholar GitHub 关注 77 Stars 370	—	Research Engineer, Light Robotics, Shenzhen
Lei Ke校友 · Former advisee	—	Senior Research Scientist, Tencent AI Seattle Lab
Qi Fan校友 · Former advisee Google Scholar · GitHub GitHub 关注 126 Stars 1,404	—	Assistant Professor, Nanjing University
Yanan Sun校友 · Former advisee	—	Researcher, Shanghai AI Lab
Ho Kei (Rex) Cheng校友 · Former advisee X · GitHub · Google Scholar GitHub 关注 619 Stars 9,301	—	Research Scientist, Luma AI
Shangzhe Wu校友 · Former advisee 简历 · GitHub · Google Scholar · X GitHub 关注 262 Stars 1,679	—	Assistant Professor, University of Cambridge
Hao-Shu Fang校友 · Former advisee 简历 · GitHub · Google Scholar GitHub 关注 616 Stars 455	—	Assistant Professor, University of Maryland, College Park
Hyeokhyen Kwon校友 · Former advisee ORCID · Google Scholar · GitHub · X	—	Assistant Professor, Emory University
Gayoung Lee校友 · Former advisee Google Scholar	—	Researcher, NAVER AI Lab
Jinsun Park校友 · Former advisee GitHub GitHub 关注 62 Stars 413	—	Assistant Professor, Pusan National University
Donghyeon Cho校友 · Former advisee Google Scholar	—	Associate Professor, Hanyang University
Tae-Hyun Oh校友 · Former advisee	—	Associate Professor, KAIST
Jaesik Park校友 · Former advisee	—	Associate Professor, Seoul National University

教育与履历

教育背景

2003
The Hong Kong University of Science and Technology
BEng in Computer Science and Engineering
2005
The Hong Kong University of Science and Technology
MPhil in Computer Science and Engineering
导师 Chi-Keung Tang
2009
National University of Singapore
PhD in Computer Science
导师 Michael S. Brown

任职经历

2007-09–2008-06
Microsoft Research Asia
Student Intern
2009–2014
KAIST
Assistant Professor
2014–2015
KAIST
Associate Professor
2015–2016
SenseTime
Principal Research Scientist
2017–2020
Tencent YouTu Lab
Research Director (T14)
2017–2023（本人履历所列）
The Hong Kong University of Science and Technology
Adjunct Associate Professor / Adjunct Professor
2020–2023
Kuaishou
Senior Research Director, Video Technology
2023–
Dartmouth College
Associate Professor

曾在 KAIST、SenseTime 和 Tencent YouTu Lab 工作；博士期间于 Microsoft Research Asia 实习。

现于 Dartmouth College 领导 Visual AI Lab，研究视觉、视频生成与编辑、3D 视觉和多模态基础模型。

业界合作与实习

合作机构: 4家
合作记录: 4条
成员产业经历: 1条

Tencent（任职与学生实习）；Kuaishou（任职）；SenseTime（任职）；Microsoft Research Asia（本人博士实习）

Tencent 任职与学生实习
2017–2020 年任 YouTu Research Director；CV 记载招聘超过 30 位学生实习生。
Kuaishou 任职
2020–2023 年任视频技术 Senior Research Director。
SenseTime 任职
2015–2016 年任 Principal Research Scientist，负责移动平台双摄方案。
Microsoft Research Asia 本人博士实习
2007-09–2008-06 年全职学生实习。

成员实习与产业经历

2026-06–2026-09
Ziyang Mai · Adobe Research, Seattle
求学阶段：PhD at Dartmouth
博士期间研究实习，导师为 Yijun Li、Soo Ye Kim、Zhe Lin。；Research Scientist Intern

学术影响与网络关注

计算标准

院系样本分位

累计引用84P84

h-index91P91

2024–2026 论文67P67

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 301 篇 · i10-index 159 · 截至 2026-10-17

GitHub · yuwingtai个人账号

关注者: 0人
Stars: 0
公开仓库: 1

Tony F. CHAN

陳繁昌

Professor Emeritus · 荣休教师

个人主页 · 学校档案 · 档案

博士毕业于: Stanford University · 1978
研究主线: Computational mathematics；Image processing；Computer vision；Physical circuit design；Computational brain mapping

累计引用: 53,653次
h-index: 82
2024–2026 论文: 2篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 2 篇）

2026 年1 篇

2026 · Communications of the ACMAnnouncing the Shaw Prize in Computer Science

2025 年1 篇

2025 · Springer eBooksAmerica Can’t Stop China’s Rise

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Computational mathematics；Image processing；Computer vision；Physical circuit design；Computational brain mapping

校友与去向36

成员	教育背景	研究方向与经历
Thomas Kerkhoven校友 · PhD Student	—
Diana Resasco校友 · PhD Student	—
Ray Tuminaro校友 · PhD Student	—
Charles Tong校友 · PhD Student	—
Wai-Kin Tsui校友 · PhD Student	—
June Donato校友 · PhD Student	—
Jennifer Chang校友 · PhD Student	—
Jian-Ping Shao校友 · PhD Student	—
Tedd Szeto校友 · PhD Student	—
David Strong校友 · PhD Student	—
Ilya Sharapov校友 · PhD Student	—
Manchung Yeung校友 · PhD Student	—
Susie Go校友 · PhD Student	—
Justin Wan校友 · PhD Student	—
Peter Blomgren校友 · PhD Student	—
Chiu-Kwong Wong校友 · PhD Student	—
Haomin Zhou校友 · PhD Student	—
Jamylle Carter校友 · PhD Student	—
Berta Sandberg校友 · PhD Student	—
Sung-Ha Kang校友 · PhD Student	—
David Huckaby校友 · PhD Student	—
Bing Song校友 · PhD Student	—
Wei Zhu校友 · PhD Student	—
Mark Moelich校友 · PhD Student	—
Andy Yip校友 · PhD Student	—
Fred Park校友 · PhD Student	—
Kenton Sze校友 · PhD Student	—
Ronald Lui校友 · PhD Student	—
Kangyu Ni校友 · PhD Student	—
Tim Lee校友 · PhD Student	—
Mingqiang Zhu校友 · PhD Student	—
Ernie Esser校友 · PhD Student	—
Ethan Miller校友 · PhD Student	—
Alvin Wong校友 · PhD Student	—
Eric Radke校友 · PhD Student	—
Matthew Keegan校友 · PhD Student	—

教育与履历

教育背景

1973
California Institute of Technology
BS in Engineering
1973
California Institute of Technology
MS in Aeronautics
1978
Stanford University
PhD in Computer Science
导师 Joe Oliger

任职经历

1978–1979
California Institute of Technology
Research Fellow
1979–1986
Yale University
Assistant / Associate Professor of Computer Science
1986–2009
University of California, Los Angeles
Professor of Mathematics
2000–2001
Institute for Pure and Applied Mathematics, UCLA
Director
2001–2006
UCLA
Dean of Physical Sciences
2006–2009
US National Science Foundation
Assistant Director, Mathematical and Physical Sciences
2009–2018
The Hong Kong University of Science and Technology
President
2018-09 起，现为 former president
King Abdullah University of Science and Technology
President

学术影响与网络关注

计算标准

院系样本分位

累计引用97P97

h-index94P94

2024–2026 论文13P13

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 725 篇 · i10-index 304 · 截至 2026-10-17

Wikipedia 人物条目

近 12 个月浏览量: 6,019次

Roland T. CHIN

錢大康

Professor Emeritus · 荣休教师

学校档案 · 档案

博士毕业于: University of Missouri · 1979
研究主线: Computer vision；Image processing；Pattern recognition；Digital signal processing

累计引用: 6,692次
h-index: 32
2024–2026 论文: 0篇
在组成员: —人

研究方向

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Computer vision；Image processing；Pattern recognition；Digital signal processing

教育与履历

教育背景

1975
University of Missouri
BS in Electrical Engineering
1979
University of Missouri
PhD in Electrical Engineering

任职经历

1979–1981
NASA Goddard Space Flight Center
Researcher
1981–1995
University of Wisconsin–Madison
Faculty / Professor
1992–2010
The Hong Kong University of Science and Technology
Chair Professor of Computer Science
2001–2003
ASTRI
Vice President for Information Technology
2003–2006
The Hong Kong University of Science and Technology
Vice-President for Research and Development
2006–2010
The Hong Kong University of Science and Technology
Deputy President and Provost
2010–2015
University of Hong Kong
Provost and Deputy Vice-Chancellor
2015–2020
Hong Kong Baptist University
President and Vice-Chancellor
Hong Kong Baptist University
President Emeritus / Professor Emeritus

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

ASTRI（任职）

ASTRI 任职
2001–2003 年借调担任 Information Technology 副总裁。

学术影响与网络关注

计算标准

院系样本分位

累计引用58P58

h-index51P51

2024–2026 论文4P4

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 132 篇 · i10-index 50 · 截至 2026-10-17

Wikipedia 人物条目

近 12 个月浏览量: 626次

Mordecai J. GOLIN

高可齡

Professor Emeritus · 荣休教师

学校档案 · 档案

博士毕业于: Princeton University · 1990
研究主线: Algorithms；Computational geometry and topology；Information theory；Combinatorics

累计引用: 2,272次
h-index: 22
2024–2026 论文: 6篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 6 篇）

2026 年1 篇

2026 · Discrete Applied MathematicsMinmax-Regret k-Sink Location on a Dynamic Tree Network with uniform capacities

2025 年1 篇

2025 · Theoretical Computer ScienceImproved algorithms for optimal k sink location on path networks

2024 年4 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Algorithms；Computational geometry and topology；Information theory；Combinatorics

教育与履历

教育背景

1990
Princeton University
PhD in Computer Science
导师 Robert Sedgewick

任职经历

1990–1993
INRIA Rocquencourt
Researcher
1993–
The Hong Kong University of Science and Technology
Faculty
2011–2014
The Hong Kong University of Science and Technology
Associate Vice-President for Postgraduate Studies

学术影响与网络关注

计算标准

院系样本分位

累计引用31P31

h-index33P33

2024–2026 论文23P23

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 234 篇 · i10-index 60 · 截至 2026-10-17

Mounir HAMDI

韓隸

Professor Emeritus · 荣休教师

学校档案 · 档案

博士毕业于: University of Pittsburgh · 1991
研究主线: Data Centers and Cloud Computing；High-speed networking and switching；Wireless networking

累计引用: 10,558次
h-index: 55
2024–2026 论文: 28篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 28 篇）

2026 年8 篇

2025 年8 篇

2024 年12 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Data Centers and Cloud Computing；High-speed networking and switching；Wireless networking

教育与履历

教育背景

1985
University of Louisiana
BS in Electrical Engineering
1987
University of Pittsburgh
MS in Electrical Engineering
1991
University of Pittsburgh
PhD in Electrical Engineering

任职经历

1991–2013
The Hong Kong University of Science and Technology
Faculty / Chair Professor
2008–2013
The Hong Kong University of Science and Technology
Head of CSE
2013–
Hamad Bin Khalifa University
Founding Dean, College of Science and Engineering

HKUST 创校及 CSE 创系教师；研究高速交换、数据中心和无线网络，并为产业及政府机构提供技术咨询。

学术影响与网络关注

计算标准

院系样本分位

累计引用72P72

h-index76P76

2024–2026 论文51P51

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 522 篇 · i10-index 194 · 截至 2026-10-17

Dik-Lun LEE

李迪麟

Professor Emeritus · 荣休教师

个人主页 · 学校档案 · 档案

博士毕业于: University of Toronto · 1985
研究主线: Big data；Mobile computing；Web information management

累计引用: 9,631次
h-index: 50
2024–2026 论文: 2篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 2 篇）

2024 年2 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Big data；Mobile computing；Web information management

校友与去向2

成员	教育背景	研究方向与经历
Wai Yee Peter Wong校友 · PhD Student · 1992	1992 Ohio State University PhD
Wang-Chien Lee校友 · PhD Student · 1996	1996 Ohio State University PhD

教育与履历

教育背景

The Chinese University of Hong Kong
BSc in Electronics
1981
University of Toronto
MSc in Computer Science
1985
University of Toronto
PhD in Computer Science
导师 Frederick H. Lochovsky

任职经历

1992
OCLC
Distinguished Visiting Scholar
1992
Information Dimensions Incorporated
Consultant
1994 年前
Ohio State University
Associate Professor
1994–2000
The Hong Kong University of Science and Technology
Associate Professor
2000–2022
The Hong Kong University of Science and Technology
Professor
2022–
The Hong Kong University of Science and Technology
Professor Emeritus

1994 年由 Ohio State University 加入 HKUST，2022 年退休；研究文本检索、数据库、移动计算与 Web 信息管理。

指导方式与组内生活

学生回忆：研究信心学生记录

Wai Yee Peter Wong 在 1992 年博士论文致谢中记述指导、鼓励和理解帮助自己进入信息检索研究，并逐步建立研究信心。

学生回忆：研究支持学生记录

Wang-Chien Lee 在 1996 年博士论文致谢中记述导师的鼓励、研究指引和超越研究工作的友谊。

业界合作与实习

合作机构: 1家
合作记录: 1条
成员产业经历: 0条

Information Dimensions Incorporated（咨询）

Information Dimensions Incorporated 咨询
1992 年休假期间担任技术顾问；该公司后来被 OpenText 收购。

学术影响与网络关注

计算标准

院系样本分位

累计引用69P69

h-index72P72

2024–2026 论文13P13

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 317 篇 · i10-index 122 · 截至 2026-10-17

Frederick H. LOCHOVSKY

樂創基

Professor Emeritus · 荣休教师

学校档案 · 档案

博士毕业于: University of Toronto
研究主线: Information systems design；Database design；Data and knowledge base integration；Web information management

累计引用: 3,427次
h-index: 27
2024–2026 论文: 0篇
在组成员: —人

研究方向

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3558

Information systems design；Database design；Data and knowledge base integration；Web information management

校友与去向1

成员	教育背景	研究方向与经历
Dik-Lun Lee校友 · PhD Student · 1980–1985	1985 University of Toronto PhD

教育与履历

教育背景

University of Toronto
PhD

任职经历

1983
IBM Research, San Jose
Visiting Scientist
1991–1992
The Hong Kong University of Science and Technology
Director of Undergraduate Studies, CSE
1992–1993
The Hong Kong University of Science and Technology
Associate Dean of Engineering
1994–1997
The Hong Kong University of Science and Technology
Director of Postgraduate Studies, CSE
1997–1998
Boeing
Visiting Scientist
University of Toronto
Professor of Computer Science and Management

曾在多伦多大学领导数据库与办公系统研究组；在 HKUST 历任工程学院副院长及 CSE 本科、研究生项目负责人。

业界合作与实习

合作机构: 2家
合作记录: 2条
成员产业经历: 0条

IBM Research（访问研究）；Boeing（访问研究）

IBM Research 访问研究
1983 年在 San Jose 研究院任 Visiting Scientist。
Boeing 访问研究
1997–1998 年任 Visiting Scientist。

学术影响与网络关注

计算标准

院系样本分位

累计引用43P43

h-index41P41

2024–2026 论文4P4

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 158 篇 · i10-index 51 · 截至 2026-10-17

Ting-Chuen PONG

龐鼎全

Professor Emeritus · 荣休教师

学校档案 · 档案

博士毕业于: Virginia Polytechnic Institute and State University · 1984
研究主线: Multimedia computing；E-learning；Computer vision；Image processing；Artificial intelligence

累计引用: 2,532次
h-index: 27
2024–2026 论文: 3篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 3 篇）

2025 年3 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Multimedia computing；E-learning；Computer vision；Image processing；Artificial intelligence

教育与履历

教育背景

1978
University of Wisconsin
BS in Mathematics and Physics
1981
Virginia Polytechnic Institute and State University
MS in Computer Science
1984
Virginia Polytechnic Institute and State University
PhD in Computer Science

任职经历

1991–
The Hong Kong University of Science and Technology
Faculty
1999–2002
The Hong Kong University of Science and Technology
Associate Dean of Engineering
2002–2010
The Hong Kong University of Science and Technology
Associate Vice-President for Academic Affairs
2013–2021
The Hong Kong University of Science and Technology
Senior Advisor to Provost, Teaching Innovation and E-learning
2019
The Hong Kong University of Science and Technology
Acting Provost
2021-07–2024-06
The Hong Kong University of Science and Technology
Vice-President for Administration and Business
2024-07-08–
HKUST (Guangzhou)
Vice-President for Administration and Business
University of Minnesota
Associate Professor

在 HKUST 推动教育创新及 MOOCs，2013 年推动学校加入 Coursera 与 edX。

学术影响与网络关注

计算标准

院系样本分位

累计引用34P34

h-index41P41

2024–2026 论文16P16

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 166 篇 · i10-index 56 · 截至 2026-10-17

Vincent Y. S. SHEN

沈運申

Professor Emeritus · 荣休教师

个人主页 · 学校档案 · 档案

博士毕业于: Princeton University · 1969
研究主线: Web technologies；Web-based learning；Software engineering

累计引用: 2,584次
h-index: 20
2024–2026 论文: 0篇
在组成员: —人

研究方向

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Web technologies；Web-based learning；Software engineering

教育与履历

教育背景

1964
National Taiwan University
BS in Electrical Engineering
1967
Princeton University
MA
1969
Princeton University
PhD in Electrical Engineering

任职经历

1969–1985
Purdue University
Faculty
1985 起
Microelectronics and Computer Technology Corporation (MCC)
Software Technology Program Director
1990–1995
The Hong Kong University of Science and Technology
Founding Head of Computer Science
1992–1995 期间
Hong Kong Supernet
Founder
1996
The Hong Kong University of Science and Technology
Associate Vice-President for Academic Affairs
1999
Internet MPAS / eCyberPay.com
Co-founder
2000–2003
Hong Kong SAR Government
Science Advisor
2010-06 起
The Hong Kong University of Science and Technology
Professor Emeritus

HKUST 计算机系创系系主任；创办 Hong Kong Supernet 与 Internet MPAS，参与香港早期互联网基础设施和 Web 标准建设。

业界合作与实习

合作机构: 3家
合作记录: 3条
成员产业经历: 0条

MCC（任职）；Hong Kong Supernet（创业）；Internet MPAS / eCyberPay.com（创业）

MCC 任职
1985 年加入研究联盟，后来领导约 60 人的 Software Technology Program。
Hong Kong Supernet 创业
创办香港首家获牌商业互联网服务提供商，1996 年出售后成为 Pacific Internet。
Internet MPAS / eCyberPay.com 创业
1999 年共同创办 Web 小额支付公司，后来由 Vertex Group 收购。

学术影响与网络关注

计算标准

院系样本分位

累计引用36P36

h-index30P30

2024–2026 论文4P4

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 68 篇 · i10-index 23 · 截至 2026-10-17

Chiew-Lan TAI

戴秋蘭

Professor Emeritus · 荣休教师

个人主页 · 学校档案 · 档案

研究主线: Geometric modeling and processing；Computer graphics；Human computer interaction

累计引用: 7,298次
h-index: 40
2024–2026 论文: 0篇
在组成员: —人

研究方向

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Geometric modeling and processing；Computer graphics；Human computer interaction

校友与去向30

成员	教育背景	研究方向与经历
Zeyu Hu校友 · PhD Student	The Hong Kong University of Science and Technology PhD	LightSpeed Studios, Singapore
Jingyuan Liu校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Postdoc, University of Tokyo
Xuyang Bai校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Machine Learning Engineer, Apple
Craig Lei Li校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Assistant Professor, University of Virginia
Qingkun Su校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Alibaba AI Lab
Jingbo Liu校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Machine Learning Engineer, Apple
Pengfei Xu校友 · MPhil / PhD Student	The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD	Associate Professor, Shenzhen University 与 Hongbo Fu 共同指导。
Youyi Zheng校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Researcher, Zhejiang University
Hongbo Fu校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Professor / Acting Head, Arts and Machine Creativity, HKUST
Oscar Kin-Chung Au校友 · MPhil / PhD Student	The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD	Assistant Professor, School of Creative Media, CityUHK
Nelson Siu-Hang Chu校友 · MPhil / PhD Student	The Hong Kong University of Science and Technology MPhil The Hong Kong University of Science and Technology PhD	Founder, Expresii
Shenlai Gao校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jianhui Zhang校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Xuren Zhou校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Sisi Wu校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Lu (Arthur) Chen校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Tian Han校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jackson Yuen校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Hengli Yin校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Menglin Chen校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jianwei Le校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Alan Hui Zhao校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jacky Chun-Kin Fong校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Janice Yim-Hung Chan校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jiyuan Zhang校友 · Visiting PhD / Research Intern · 2014-07–2015-01	Peking University PhD student
Hao Wang校友 · Visiting PhD / Research Intern · 2012-03–2012-08	Nanjing University PhD student
Yirui Wu校友 · Visiting PhD / Research Intern · 2012-03–2012-08；2014-08–2015-01	Nanjing University PhD student
Yu-Shuen Wang校友 · Visiting PhD / Research Intern · 2007-09–2008-01	National Cheng Kung University PhD student
James Hung-Kuo Chu校友 · Visiting PhD / Research Intern · 2007-09–2008-01	National Cheng Kung University PhD student
Tong Lu校友 · Visiting PhD / Research Intern	Nanjing University PhD student

教育与履历

教育背景

University of Malaya
BSc in Mathematics
University of Malaya
MSc in Mathematics
National University of Singapore
MSc in Computer and Information Sciences
University of Tokyo
DSc in Information Science

任职经历

The Hong Kong University of Science and Technology
Professor Emeritus

学术影响与网络关注

计算标准

院系样本分位

累计引用61P61

h-index63P63

2024–2026 论文4P4

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 139 篇 · i10-index 89 · 截至 2026-10-17

Derick WOOD

伍德瑞

Professor Emeritus · 荣休教师

学校档案 · 档案

博士毕业于: University of Leeds
研究主线: Document engineering；Symbolic manipulation of language-theory objects；Algorithms；Data structures；Formal language theory

累计引用: 4,980次
h-index: 35
2024–2026 论文: 0篇
在组成员: —人

研究方向

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Document engineering；Symbolic manipulation of language-theory objects；Algorithms；Data structures；Formal language theory

教育与履历

教育背景

University of Leeds
PhD

任职经历

1995-01-02–2006-06-30
The Hong Kong University of Science and Technology
Professor
2001-09–2002-06
The Hong Kong University of Science and Technology
Acting Head of Computer Science
2006-01 起
The Hong Kong University of Science and Technology
Chair Professor
2006-06-30 起
The Hong Kong University of Science and Technology
Professor Emeritus

2010 年 10 月 4 日去世；CSE 为其设立纪念页面。

学术影响与网络关注

计算标准

院系样本分位

累计引用51P51

h-index54P54

2024–2026 论文4P4

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 381 篇 · i10-index 115 · 截至 2026-10-17

Wikipedia 人物条目

近 12 个月浏览量: 459次

Qiang YANG

楊强

Professor Emeritus · 荣休教师

个人主页 · 学校档案 · 档案

博士毕业于: University of Maryland · 1989
研究主线: Artificial intelligence

累计引用: 114,607次
h-index: 127
2024–2026 论文: 114篇
在组成员: —人

研究方向

Artificial intelligence

代表论文与近期发表

2024–2026 论文目录（共 114 篇）

2026 年33 篇

2025 年35 篇

2024 年46 篇

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Artificial intelligence

校友与去向83

成员	教育背景	研究方向与经历
Dashan Gao校友 · PhD Student	HKUST PhD	Minimum Information Leakage in Vertical Federated Learning. Co-supervision with Professors Xin Yao and Kai Chen. Dr Co-supervision with Professors Xin Yao and Kai Chen
Di Chai校友 · PhD Student · 2025	2025 HKUST PhD	Secure and Practical Federated Matrix Factorization. 2025. Dr
Liya Ji校友 · PhD Student	HKUST PhD	Accurate probability estimates from large-scale data in the applications of display advertising Dr Co-supervised with Chen, Qifeng)
Han Tian校友 · PhD Student	HKUST PhD	Network congestion control with deep reinforcement learning Dr Assistant Professor, USTC Co-supervised with Kai Chen), Assistant Professor at USTC, Thesis: Network congestion control with deep reinforcement learning Dr
Xueyang Wu校友 · PhD Student	HKUST PhD	Federated transfer learning under heterogeneous data · Dr
Guangneng Hu校友 · PhD Student	HKUST PhD	Deep and adversarial knowledge transfer in recommendation · Dr Xidian University
Zheng Li校友 · PhD Student	HKUST PhD	Neural knowledge transfer for low-source sentiment analysis : cross-domain, cross-task & cross-lingual Dr Amazon
Yexin Li校友 · PhD Student	HKUST PhD	Deep reinforcement learning in urban computing Dr JD.com
Yinghua Zhang校友 · PhD Student	HKUST PhD	Deep transfer learning : generalization on clean and adversarial data · Dr Meituan
Lili Zhao校友 · PhD Student	HKUST PhD	Active transfer learning for recommendation system · Dr Tencent
Wenyuan Dai校友 · PhD Student	HKUST PhD	Lower the barrier of machine learning : meta learning for transfer learning and autoML Dr 4th Paradigm
Kaixiang Mo校友 · PhD Student	HKUST PhD	Transfer reinforcement learning for task-oriented dialogue systems Dr SHEIN
Ben Tan校友 · PhD Student	HKUST PhD	Distant domain transfer learning Dr Tencent
Bin Wu校友 · PhD Student	HKUST PhD	Machine recognition of music emotion and the correlation with musical timbre · Dr Tencent Co-supervised with Andrew Horner), Tencent
Zhongqi Lu校友 · PhD Student	HKUST PhD	Selective transfer learning for cross domain recommendation Dr China University of Petroleum
Ying Wei校友 · PhD Student	HKUST PhD	Heterogeneous transfer learning · Dr Nanyang Technological University
Bo Liu校友 · PhD Student	HKUST PhD	Transferable bandit · Dr ByteDance
George (Georgios) Trimponias校友 · PhD Student · 2015	2015 HKUST PhD	Game-Theoretic Design for Assignment and Ranking in Online Advertising and Human Computation, Huawei Noah's Ark Lab
Ruiming Xie校友 · MPhil Student	HKUST MPhil	Transfer learning for one-class recommendation based on matrix factorization Dr
Yin Zhu校友 · PhD Student · 2014	2014 HKUST PhD	Activity Recognition via Social Knowledge Transfer. July 21, 2014. Dr
Erheng Zhong校友 · PhD Student · 2014	2014 HKUST PhD	Composite Social Network Analysis (PDF) Yahoo! Labs., USA. Dr
Derek Hao Hu校友 · PhD Student · 2012	2012 HKUST PhD	Learning based Activity Recognition (PDF) Microsoft (Bing) at Redmond, Washington, USA. Dr
Weizhu Chen校友 · PhD Student · 2012	2012 HKUST PhD	An Associative Characterization of Click Models in Web Search (PDF) Vice President, Microsoft（主页精选校友栏）
Simone Marini校友 · PhD Student · 2012	2012 HKUST PhD	Qualitative and Quantitative Protein Interaction Prediction with Machine Learning Postdoc in Italy. Dr
Evan Wei Xiang校友 · PhD Student · 2012	2012 HKUST PhD	Transfer Learning with Open Web Data (PDF) Baidu.com Dr
Weike Pan校友 · PhD Student · 2012	2012 HKUST PhD	Transfer Learning in Collaborative Filtering (PDF) Assistant Professor at Shenzhen University, Shenzhen, China
Jinliang Deng校友 · MPhil Student	HKUST MPhil	Order Dispatching for Electric Vehicles by Deep Multi-Objective Reinforcement Learning
Xiang Zhang校友 · MPhil Student	HKUST MPhil	Transfer hierarchical attention network for generative dialog system
Wenya Zhu校友 · MPhil Student	HKUST MPhil	Generative dialogue system with knowledge base
Caigao Jiang校友 · MPhil Student	HKUST MPhil	Large scale WiFi indoor localization
Si Shen校友 · MPhil Student	HKUST MPhil	New perspectives on search click modeling · Dr
Nathan Nan Liu校友 · PhD Student · 2011	2011 HKUST PhD	Ranking Oriented Approach to Context Aware Recommendation (PDF) Yahoo! Labs. Dr
Bin Cao校友 · PhD Student · 2011	2011 HKUST PhD	Collaborative and Transfer Learning in Recommendations (PDF) Microsoft Research Asia. Dr
Vincent Wenchen Zheng校友 · PhD Student · 2011	2011 HKUST PhD	Learning with Limited Data in Sensor-based Human Behavior Recognition (PDF) Institute for Infocomm Research, Singapore. Webank. Dr
Qian Xu校友 · PhD Student / Postdoctoral Researcher · 2010	2010 HKUST PhD	Knowledge Transfer for Solving the Data Scarcity Problem for Machine Learning in Boinformatics (PDF). Baidu.com; WeBank. Dr Co-supervised with Hong Xue
Can Yang校友 · PhD Student · 2011	2011 HKUST PhD	SNP data analysis in genome-wide association studies (PDF) Professor at Math Department, HKUST Dr Co-supervised with Weichuan Yu
Sinno Jialin Pan校友 · PhD Student · 2010	2010 HKUST PhD	Feature-based Transfer Learning with Real-world Applications (PDF). 2010- 2014: Institute for Infocomm Research, Singapore. 2014 -: Nanyang Professor at Nanyang Technological University (NTU), Singapore Professor at Chinese University of Hong Kong. Dr
Jeffrey Junfeng Pan校友 · PhD Student · 2007	2007 HKUST PhD	Learning-based Localization in Wireless and Sensor Networks (PDF) Facebook Dr
Dou Shen校友 · PhD Student · 2007	2007 HKUST PhD	Learning Based Web Query Understanding (PDF). co-founder: BuzzLabs, and 2011-2012: Senior Director, CityGrid Media. 2012-2014: Director of Advertisement Union, Baidu Inc. 2014- : Director of Search and Personalization, Baidu Inc. Beijing, China
Hui Wang校友 · MPhil Student	HKUST MPhil	Web-log Mining for Quantitative Temporal-Event Prediction WeChat. Dr
Jie Yin校友 · PhD Student · 2006	2006 HKUST PhD	Probabilistic Activity Recognition from Low-Level Sensors (PDF). Research Scientist, CSIRO, Australia
Hong Cheng校友 · MPhil Student	HKUST MPhil	Mining Case Bases for Action Recommendation Professor at Chinese University of Hong Kong
Henry Zhang校友 · MSc Student	Simon Fraser University MSc	Mining web logs for prediction models in WWW caching and prefetching
Ian T.Y. Lee校友 · MSc Student	Simon Fraser University MSc	Classification Pruning for Web-request Prediction Microsoft
Jing Wu校友 · MSc Student	Simon Fraser University MSc	Amdocs
Sheng Li校友 · MSc Student	Simon Fraser University MSc	Activating Case-Based Reasoning with Active Databases Seagate Software
Hai- jing Fang校友 · MSc Student	Simon Fraser University MSc
Hui Zhang校友 · MSc Student	Simon Fraser University MSc	Professor at University of Manitoba, Canada
Zhong Zhang校友 · MSc Student	Simon Fraser University MSc	Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning, July 1999 Professor in University of Lethbridge, Canada
Zhen Michael Zhang校友 · MSc Student	Simon Fraser University MSc	Model Based Predictive Prefetching
Sandra Hayden校友 · MSc Student	Simon Fraser University MSc	NASA Ames, USA
Gunter Mussbac校友 · MSc Student	Simon Fraser University MSc
Jun Zhu校友 · MSc Student	Simon Fraser University MSc
Kirsti Racine校友 · MSc Student	Simon Fraser University MSc	Maintaining Case Bases IBM Canada
Philip Fong校友 · Research Student Student	—	Machine Learning Theory. 1994 - 1996 Professor at University of Calgary, Canada
Stephanie Ellis校友 · MSc Student	University of Waterloo MSc	Class Table Scheduling with AI. 1994-1996
Cheryl Murray校友 · MSc Student	University of Waterloo MSc	An Evaluation of the Temporal Coherence Heuristic in Partial-Order Planning. Dr
Steven Woods校友 · PhD Student	University of Waterloo PhD	Vice President, Google Canada（主页精选校友栏）
Eugene Fink校友 · MSc Student	University of Waterloo MSc	Characterizing and Learning Primary Effects in Planning. At CMU (Last PhD student of Herb Simon)
Alex Chan校友 · MSc Student	University of Waterloo MSc	Partial Order Planning Microsoft
Chunxu Zhang校友 · Postdoctoral Researcher	—
Xiaojin Zhang校友 · Postdoctoral Researcher	—
Hao Liu校友 · Postdoctoral Researcher	—
Zelei Liu校友 · Postdoctoral Researcher	—
Leye Wang校友 · Postdoctoral Researcher	—
Wei Hui校友 · Postdoctoral Researcher	—
Yiqiang Chen校友 · Postdoctoral Researcher	—
Huayan校友 · Postdoctoral Researcher	—
Rong Pan校友 · Postdoctoral Researcher	—
Shuangyin Li校友 · Postdoctoral Researcher	—
Qi Liu校友 · Postdoctoral Researcher	—
Hankz Zhuo校友 · Postdoctoral Researcher	—
Yidong Shen校友 · Visiting Professor · 2001-03–2002-08	—
Chunyan Miao校友 · Postdoctoral Fellow · 2001-04–2002-03	—
Yong Wang校友 · Postdoctoral Fellow · 1998-09–1999-09	—
Geof Glass校友 · Postdoctoral Fellow · 1997-05–1999-08	—
Peter Leung校友 · Postdoctoral Fellow · 1997-05–1998-08	—
Leslia Chow校友 · Postdoctoral Fellow · 1997-09–1998-08	—
Christina Carrick校友 · Postdoctoral Fellow · 1998-09–1999-09	—
Wei-Dong Yu校友 · Postdoctoral Fellow · 1996–1997	—
Michael Boeur校友 · Postdoctoral Fellow · 1995–1996	—
Eddie Kim校友 · Postdoctoral Fellow · 1995–1998	—
Tianqi Chen校友 · Research Intern	—	Faculty, Carnegie Mellon University

教育与履历

教育背景

1982
Peking University
BSc in Astrophysics
1985
University of Maryland
MSc in Astrophysics
导师 Donat Wentzel
1987
University of Maryland
MSc in Computer Science
1989
University of Maryland
PhD in Computer Science
导师 Dana S. Nau

任职经历

1989–1995
University of Waterloo
Assistant / Associate Professor
1995–2001
Simon Fraser University
Associate / Full Professor
2001–2007
The Hong Kong University of Science and Technology
Associate Professor
2007–2015
The Hong Kong University of Science and Technology
Professor
2012–2014
Huawei Noah's Ark Lab
Founding Director
2015–2018
WeChat
Chief Technology Advisor
2015–2023
The Hong Kong University of Science and Technology
Chair Professor
2018–2025
WeBank
Chief AI Officer
2023–
The Hong Kong University of Science and Technology
Professor Emeritus

研究迁移学习、联邦学习、规划与数据挖掘；曾创立 Huawei Noah’s Ark Lab，担任 WeChat 顾问及 WeBank 首席 AI 官。

指导方式与组内生活

科研方法传播

与 Charles X. Ling 合著 Crafting Your Research Future，涵盖硕博科研和研究生发展。

业界合作与实习

合作机构: 4家
合作记录: 4条
成员产业经历: 0条

Huawei（研究实验室）；WeChat（顾问与联合实验室）；WeBank（任职）；4th Paradigm（创业）

Huawei 研究实验室
2012–2014 年为 Noah’s Ark Lab 创始主任。
WeChat 顾问与联合实验室
2015–2018 年任首席技术顾问并领导 WeChat–HKUST Joint Research Lab。
WeBank 任职
2018–2025 年任 Chief AI Officer。
4th Paradigm 创业
个人主页列为公司共同创办人。

学术影响与网络关注

计算标准

院系样本分位

累计引用99P99

h-index99P99

2024–2026 论文89P89

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 1,202 篇 · i10-index 538 · 截至 2026-10-17

Wikipedia 人物条目

近 12 个月浏览量: 1,927次

Dit-Yan YEUNG

楊瓞仁

Professor Emeritus · 荣休教师

个人主页 · 学校档案 · 档案

博士毕业于: University of Southern California · 1989
研究主线: Artificial intelligence；Computer vision；Machine learning；Pattern recognition

累计引用: 28,532次
h-index: 69
2024–2026 论文: 42篇
在组成员: 2人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 42 篇）

2026 年7 篇

2025 年22 篇

2024 年13 篇

实验室与成员

博士生: 1
硕士生: 1

所在单位: The Hong Kong University of Science and Technology · CSE

Artificial intelligence；Computer vision；Machine learning；Pattern recognition

在组成员2

成员	教育背景	研究方向与经历
Wing Yin LaiMPhil Student	—
Shuangjie XuPhD Student	—

校友与去向65

成员	教育背景	研究方向与经历
Kam Fai Chan校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Chief Technical Officer, PenCalc Technology
Hong Chang校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Professor, University of Chinese Academy of Sciences; formerly at Xerox Research Centre Europe
Kai Chen校友 · PhD Student 简历 · GitHub · X · Google Scholar GitHub 关注 77 Stars 125	Fudan University Bachelor in Computer Science The Hong Kong University of Science and Technology PhD	数据驱动的可靠多模态 AI、多模态大模型、三维视觉世界模型与模型反馈本科导师 Yanwei Fu；博士导师 Dit-Yan Yeung。2019-06 至 2019-09 在 Indiana University Bloomington 与 David Crandall 访问合作，2018-09 至 2019-01 在 Manchester 与 Tingting Mu 交换合作。
Kwok Wai William Cheung校友 · PhD Student DBLP · ORCID · OpenAlex DBLP 近三年 26 OpenAlex 近三年 14 引用 3,463 h-index 28	The Hong Kong University of Science and Technology PhD	Associate Vice-President and Professor, Hong Kong Baptist University
Tsz Him Cheung校友 · PhD Student · 2025	2025 The Hong Kong University of Science and Technology PhD	Lecturer, Hong Kong University of Science and Technology
Ping Man Sam Choi校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Assistant Professor, Hong Kong Metropolitan University
Tsz Ting Chung校友 · PhD Student 简历 · Google Scholar · GitHub · LinkedIn GitHub 关注 6 Stars 13	The Chinese University of Hong Kong Bachelor, First Class Honours The Hong Kong University of Science and Technology PhD	自然语言处理、大语言模型推理能力分析与训练博士导师 Dit-Yan Yeung；本人感谢 Lemao Liu、Mo Yu 的研究指导。
Zhihan Gao校友 · PhD Student 简历 · Google Scholar · GitHub · LinkedIn · X GitHub 关注 54 Stars 165	2016 Peking University BSc in Physics 2024 The Hong Kong University of Science and Technology PhD in CSE	机器学习、时空建模与地球科学 AI Algorithm Engineer, ByteDance
Chenhan Jiang校友 · PhD Student 简历 · X · LinkedIn · Google Scholar · GitHub GitHub 关注 0 Stars 1	2019 Sun Yat-sen University Master The Hong Kong University of Science and Technology PhD	三维生成与感知、场景理解、二维与三维检测与表征学习 SenseTime · Research Intern2018-01–2018-12 Huawei Noah's Ark Lab · Researcher2019-12–2022-06 硕士导师 Liang Lin、Xiaodan Liang；2022-09 开始 HKUST 博士，导师 Dit-Yan Yeung。2025-02 至 2025-11 访问 Imperial College London，导师 Jiankang Deng。
Tin Yau James Kwok校友 · PhD Student Google Scholar	The University of Hong Kong BSc in Electrical and Electronic Engineering The Hong Kong University of Science and Technology PhD	机器学习、深度学习、数据挖掘与人工智能 Professor, Hong Kong University of Science and Technology; formerly at Hong Kong Baptist University
Siyi Li校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Senior Research Engineer, Sea AI Lab; formerly at Tencent
Wu-Jun Li校友 · PhD Student	2003 Nanjing University BSc 2006 Nanjing University MEng 2010 The Hong Kong University of Science and Technology PhD	人工智能、机器学习、大数据、智慧医疗、AI for Science Professor, Nanjing University; formerly at Shanghai Jiao Tong University 博士导师 Dit-Yan Yeung；2010–2013 任职 Shanghai Jiao Tong University。
Nedjma Djouhra Ousidhoum校友 · PhD Student	2010 University of Science and Technology Houari Boumediene (USTHB) Bachelor in Computer Science 2012 University of Science and Technology Houari Boumediene (USTHB) Master in Software Engineering 2021 The Hong Kong University of Science and Technology PhD in Computer Science	自然语言处理、计算社会科学、自动事实核查、低资源语言与偏见 Lecturer, Cardiff University; formerly at University of Cambridge 博士导师 Yangqiu Song、Dit-Yan Yeung；后在 Cambridge 与 Andreas Vlachos 开展博士后研究。
Meng Qin校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Assistant Researcher, Peng Cheng National Laboratory
Xingjian Shi校友 · PhD Student GitHub GitHub 关注 824 Stars 532	2014 Shanghai Jiao Tong University BEng 2018 The Hong Kong University of Science and Technology PhD	多模态生成模型、多模态 AutoML、地球科学深度学习 OpenAI · Member of Technical Staff Boson AI · Model Development Lead Amazon · Senior Applied Scientist Member of Technical Staff, OpenAI; formerly at Boson AI and Amazon AWS 博士导师 Dit-Yan Yeung。
Zifan Vivian Shi校友 · PhD Student	Nanjing University Bachelor The Hong Kong University of Science and Technology PhD	世界模型、生成模型、三维与四维视觉 ByteDance · Research Intern2021-09–2022-05 Ant Research · Research Intern2022-06–2023-04 Adobe Research · Research Intern2023-05–2023-08 Adobe Research · Research Scientist Research Scientist, Adobe Research 博士导师 Dit-Yan Yeung、Qifeng Chen；2023-10 至 2024-03 访问 Stanford，导师 Gordon Wetzstein。
Lin Sun校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Head of Perception, Samsung Strategy and Innovation Center
Ting Sun校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Applied Scientist, Amazon; formerly at Gatik, Canada and Huawei
Gang Wang校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Director of AI Assistant, Xiaomi Technology; formerly at Tencent and Microsoft Research Asia
Hao Wang校友 · PhD Student	The Hong Kong University of Science and Technology PhD	机器学习、人工智能、统计学习与深度学习 Assistant Professor, Rutgers University; formerly at Massachusetts Institute of Technology
Naiyan Wang校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Distinguished Scientist, Xiaomi; formerly at TuSimple
Junjie Wu校友 · PhD Student · 2020-09–2026-01 简历 · Google Scholar · LinkedIn · GitHub GitHub 关注 5 Stars 18	2020 Sun Yat-sen University BSc in Statistics 2026 The Hong Kong University of Science and Technology PhD	大模型后训练、奖励建模与 Agent 评测 Tencent AI Lab, NLP Group · Research Intern2021-06–2024-01 Tencent WeChat AI · Research Intern2024-05–2025-05 Meta GenAI · Research Intern2025-06–2026-01 Tencent · Senior Researcher2026-02– Senior Researcher, Tencent 博士导师 Dit-Yan Yeung；2024-09 至 2025-02 在 Yale NLP 访问，导师 Arman Cohan。
Yuan Yuan校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Assistant Professor, Boston College; formerly at Massachusetts Institute of Technology, and Alibaba
Yu Zhang校友 · PhD Student Google Scholar · GitHub GitHub 关注 2 Stars 3	Nanjing University Bachelor Nanjing University Master The Hong Kong University of Science and Technology PhD	机器学习、模式识别、数据挖掘、面向基础模型的学习方法 Associate Professor, Southern University of Science and Technology; formerly at Hong Kong University of Science and Technology, and Hong Kong Baptist University
Yi Zhen校友 · PhD Student	The Hong Kong University of Science and Technology PhD	Machine Learning Engineer, LinkedIn; formerly at Baidu Research, Georgia Institute of Technology, Duke University, and Huawei
Siyuan Zhou校友 · PhD Student Google Scholar · GitHub GitHub 关注 11 Stars 141	2022 Peking University BSc in Computer Science The Hong Kong University of Science and Technology PhD	生成模型、世界模型、机器人学习扩展 Tencent WXG · Research Intern2021-09–2021-12 Tencent Robotics X Lab · Research Intern2024-08–2025-06 Seed · Research Intern2025-06 起博士导师 Dit-Yan Yeung；与 Chuang Gan、Yilun Du 合作。2023-06 至 2023-09 访问 MIT-IBM Watson AI Lab。
Wai Lun Chan校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Yun Kwan Emprise Chan校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jingni Chen校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Chun Hom Eddy Cheung校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Wai Lun Johnson Cheung校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Ka Wing Joe Cho校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Calvin Chow校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Wei Kevin Fan校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Xianghong Fang校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
On Tik Andy Fung校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
We Ming William Go校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Guangyuan Hao校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jeongseok Hyun校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Kin Fai Epsilon Ip校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Pak Keung Steven Lai校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Ho Yu Ivan Lam校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Ying Yee Ava Lau校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Leonard Lausen校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Hiu Chung Martin Law校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jinseok Lee校友 · MPhil Student Google Scholar · GitHub · LinkedIn GitHub 关注 7 Stars 26	The Hong Kong University of Science and Technology MPhil
Fei Allen Mi校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Yang Ruan校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Yusen Sun校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Siu Shing Calvin Tang校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Zheng Tang校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Feng Lily Tian校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Yanxin Wang校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Zhiyang Wang校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Chi Ho John Wong校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Man Ho Daniel Wong校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Feng Xiong校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Lei Xiong校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Yimin Xiong校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Chiu Wai Yan校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Chun Kit Yeung校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Kei Wai Kiwi Yeung校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Lap Fai Craig Yu校友 · MPhil Student	The Hong Kong University of Science and Technology BBA The Hong Kong University of Science and Technology BEng in Computer Science The Hong Kong University of Science and Technology MPhil in Computer Science University of California, Los Angeles PhD in Computer Science	混合现实、计算设计、游戏设计、图形学、视觉与人机交互 Great Victory Legends, Inc. · Co-Founder Microsoft Research Asia, Internet Graphics Group · Research experience Professor, George Mason University；Co-Founder, Great Victory Legends, Inc. UCLA 博士导师 Demetri Terzopoulos；曾在 MIT、Stanford 访问。
Cancheng Zeng校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil
Jie Zhou校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil

教育与履历

教育背景

University of Hong Kong
BEng in Electrical Engineering
University of Hong Kong
MPhil in Computer Science
1989
University of Southern California
PhD in Computer Science

任职经历

1991 起
The Hong Kong University of Science and Technology
Faculty / Chair Professor
博士毕业后一年
Illinois Institute of Technology
Assistant Professor
The Hong Kong University of Science and Technology
Professor Emeritus

研究计算与统计机器学习，应用涉及视觉、教育和推荐系统。

指导方式与组内生活

长期学生关系

2026 年 HKUST 访谈中，他将与学生建立长久联系、激发好奇心及建立信心列为教师工作的重要价值；回忆学生把其指导形容为 720-degree care。

海外研究经历

学生页记录 Junjie Wu 于 2024 年赴 Yale、Zifan Shi 于 2023 年赴 Stanford，以及其他学生赴 Carnegie Mellon、Texas A&M、Stanford 的 Overseas Research Award。

业界合作与实习

合作机构: 3家
合作记录: 3条
成员产业经历: 18条

Huawei 学生奖学金
学生页列 Chenhan Jiang 2022、Kai Chen 2020、Meng Qin 2020 获 Huawei PhD Fellowship Award。
Microsoft Research Asia / Baidu 学生奖学金
Hao Wang 于 2015 年获 Microsoft Research Asia Fellowship Award、Baidu Scholarship。
Google 学生奖学金
Naiyan Wang 于 2014 年获 Google PhD Fellowship in Machine Learning。

成员实习与产业经历

2018-01–2018-12
Chenhan Jiang · SenseTime
求学阶段：Master
本人履历列出的硕士阶段 Research Intern 经历。；Research Intern
2019-12–2022-06
Chenhan Jiang · Huawei Noah's Ark Lab
Researcher
2021-09–2022-05
Zifan Vivian Shi · ByteDance
求学阶段：PhD
Research Intern，导师 Yujun Shen。；Research Intern
2021-06–2024-01
Junjie Wu · Tencent AI Lab, NLP Group
求学阶段：PhD
Research Intern。；Research Intern
2021-09–2021-12
Siyuan Zhou · Tencent WXG
求学阶段：Undergraduate
本科阶段 Research Intern。；Research Intern
2022-06–2023-04
Zifan Vivian Shi · Ant Research
求学阶段：PhD
Research Intern，导师 Yujun Shen。；Research Intern
2023-05–2023-08
Zifan Vivian Shi · Adobe Research
求学阶段：PhD
Research Scientist Intern，导师 Zhixin Shu。；Research Intern
2024-05–2025-05
Junjie Wu · Tencent WeChat AI
求学阶段：PhD
Research Intern。；Research Intern
2024-08–2025-06
Siyuan Zhou · Tencent Robotics X Lab
求学阶段：PhD
Research Intern。；Research Intern
2025-06–2026-01
Junjie Wu · Meta GenAI
求学阶段：PhD
本人履历列为 Research Scientist Intern。；Research Intern
2025-06 起
Siyuan Zhou · Seed
求学阶段：PhD
本人主页列为 Seed Research Intern。；Research Intern
2026-02–
Junjie Wu · Tencent
Senior Researcher
Xingjian Shi · OpenAI
Member of Technical Staff
Xingjian Shi · Boson AI
Model Development Lead
Xingjian Shi · Amazon
Senior Applied Scientist
Zifan Vivian Shi · Adobe Research
Research Scientist
Lap Fai Craig Yu · Great Victory Legends, Inc.
Co-Founder
Lap Fai Craig Yu · Microsoft Research Asia, Internet Graphics Group
Research experience

学术影响与网络关注

计算标准

院系样本分位

累计引用92P92

h-index88P88

2024–2026 论文64P64

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 409 篇 · i10-index 183 · 截至 2026-10-17

Brian Kan-Wing MAK

麥鑑榮

Associate Professor Emeritus · 荣休教师

个人主页 · 学校档案 · 档案

博士毕业于: Oregon Graduate Institute of Science and Technology · 1998
研究主线: Automatic speech recognition；machine learning；speech processing；acoustic modeling；speaker adaptation；speaker recognition and verification；computer-aided language learning.

累计引用: 2,600次
h-index: 23
2024–2026 论文: 8篇
在组成员: —人

研究方向

代表论文与近期发表

2024–2026 论文目录（共 8 篇）

2025 年3 篇

2025 · IEEE Journal on Selected Topics in Signal Processing, v. 19, (5), article number 11204003Detecting neurocognitive disorders through analyses of topic evolution and cross-modal consistency in visual stimulated narratives
2025 · 35th IEEE International Workshop on Machine Learning for Signal Processing: Signal Processing in the Age of Lorge Language Models, MLSP 2025, IEEE Computer Society, 2025, article number 11204267Efficient Mouth Alignment for Visual Speech Recognition
2025 · EMNLP (Findings)End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation

2024 年5 篇

2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News
2024 · Computer Vision – ECCV 2024 - 18th European Conference, ProceedingsA Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars
2024 · ACM Transactions on Multimedia Computing, Communications and Applications, v. 20, (6), article number 163Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
2024 · Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023, Institute of Electrical and Electronics Engineers Inc., 2024, p. 7809-7818article number 10378406On the Audio-visual Synchronization for Lip-to-Speech Synthesis
2024 · EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the ConferenceTowards Online Continuous Sign Language Recognition and Translation

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE
地点: Rm3513

Automatic speech recognition；machine learning；speech processing；acoustic modeling；speaker adaptation；speaker recognition and verification；computer-aided language learning.

校友与去向16

成员	教育背景	研究方向与经历
Guoli Ye校友 · PhD Student · 2012	—	Speaker-Ensemble Hidden Markov Modeling for Automatic Speech Recognition
Padmanabhan Krishnamurthy校友 · 本科研究学生 · 2019	—	Helen — AI 唇读无障碍设备
Amrutavarsh Sanganabasappa Kinagi校友 · 本科研究学生 · 2019	—	Helen — AI 唇读无障碍设备
LEVIERO校友 · 本科研究学生 · 2015	—	Leap Motion 手势辅助触摸屏
Andrianto Li校友 · 本科研究学生 · 2015	—	Leap Motion 手势辅助触摸屏
Leung Ka Chun校友 · 本科研究学生 · 2016	—	Leap Motion 手语转语音
Cheung Yat Laam校友 · 本科研究学生 · 2016	—	Leap Motion 手语转语音
To Wun Yin校友 · 本科研究学生 · 2016	—	Leap Motion 手语转语音
Tam Chi Yan校友 · 本科研究学生 · 2016	—	Leap Motion 手语转语音
Gupta Akanksha校友 · 本科研究学生 · 2017	—	Text-to-Sign: English Text to American Sign Language
Arshad Mohammed Arslan校友 · 本科研究学生 · 2017	—	Text-to-Sign: English Text to American Sign Language
Fesci Onur校友 · 本科研究学生 · 2017	—	Text-to-Sign: English Text to American Sign Language
Borar Sheetal校友 · 本科研究学生 · 2017	—	Text-to-Sign: English Text to American Sign Language
Zhe Niu校友 · PhD Student · 毕业于 2026CSE	2026 The Hong Kong University of Science and Technology PhD
Ronglai Zuo校友 · PhD Student · 毕业于 2024CSE	2024 The Hong Kong University of Science and Technology PhD
Chun Fung Ranzo Huang校友 · MPhil Student · 毕业于 2023CSE	2023 The Hong Kong University of Science and Technology MPhil

教育与履历

教育背景

University of Hong Kong
BS in Electrical Engineering
University of California, Santa Barbara
MS in Computer Science
1998
Oregon Graduate Institute of Science and Technology
PhD in Computer Science
University of Hong Kong
Certificate of Education

任职经历

The Hong Kong University of Science and Technology
Associate Professor
The Hong Kong University of Science and Technology
Associate Professor Emeritus / Visiting Associate Professor

研究语音识别、声学建模、说话人适应与计算机辅助语言学习；长期指导手语、唇读和无障碍交互本科项目。

1998 年获得 Oregon Graduate Institute of Science and Technology 的 PhD in Computer Science。

指导方式与组内生活

学生项目

公开列出的学生项目把手语、唇读和手势交互用于无障碍应用，多次参加 President’s Cup。

学术影响与网络关注

计算标准

院系样本分位

累计引用38P38

h-index35P35

2024–2026 论文26P26

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 167 篇 · i10-index 46 · 截至 2026-10-17

Helen C. SHEN

沈志汶

Associate Professor Emeritus · 荣休教师

学校档案 · 档案

博士毕业于: University of Waterloo
研究主线: Computer vision；Biometrics

累计引用: 1,595次
h-index: 17
2024–2026 论文: 0篇
在组成员: —人

研究方向

实验室与成员

所在单位: The Hong Kong University of Science and Technology · CSE

Computer vision；Biometrics

校友与去向1

成员	教育背景	研究方向与经历
Albert C. S. Chung校友 · MPhil Student	The Hong Kong University of Science and Technology MPhil 2001 University of Oxford PhD	Professor, HKUST CSE

教育与履历

教育背景

University of Waterloo
PhD

任职经历

The Hong Kong University of Science and Technology
Associate Professor Emeritus

学术影响与网络关注

计算标准

院系样本分位

累计引用29P29

h-index26P26

2024–2026 论文4P4

年度发表论文（同题去重）

2024

2025

2026

来源：OpenAlex · 累计收录作品 132 篇 · i10-index 26 · 截至 2026-10-17