# Lei CHEN 陳雷

<!-- Generated from the research-atlas data sources by scripts/knowledge/research-atlas/render.mjs. -->

Chair Professor

![Lei CHEN](../portraits/leichen.jpg)

[官方档案](https://cse.hkust.edu.hk/admin/people/faculty/profile/leichen) · [个人主页](https://cse.hkust.edu.hk/~leichen/) · [HTML](../../index.html#faculty-leichen)

## 学术指标

| 指标 | 数值 |

| --- | ---: |

| [累计引用](https://openalex.org/A5100333516) | 23,285 |

| h-index | 75 |

| i10-index | 410 |

| 2024–2026 收录论文 | 198 |

| 在组成员 | 25 |

| 产业合作机构 | 1 |

数据日期：2026-10-17。[指标定义与分位标准](../../index.html#standards)。

## 教育与履历

### 教育

- 1994 · [Tianjin University](https://cse.hkust.edu.hk/~leichen/) · BSc, Computer Science

- 1997 · [Asian Institute of Technology](https://cse.hkust.edu.hk/~leichen/) · Master, Computer Science

- 2005 · [University of Waterloo](https://cse.hkust.edu.hk/~leichen/) · PhD, Computer Science

### 任职与研究经历

- [HKUST CSE](https://cse.hkust.edu.hk/~leichen/) · Chair Professor

## 研究方向

### [Data-driven machine learning](https://cse.hkust.edu.hk/admin/people/faculty/profile/leichen)

### [Crowdsourcing-based data processing](https://cse.hkust.edu.hk/admin/people/faculty/profile/leichen)

### [Uncertain and probabilistic databases](https://cse.hkust.edu.hk/admin/people/faculty/profile/leichen)

### [Web information management](https://cse.hkust.edu.hk/admin/people/faculty/profile/leichen)

### [Multimedia systems](https://cse.hkust.edu.hk/admin/people/faculty/profile/leichen)

### [Knowledge bases and big graphs](https://cse.hkust.edu.hk/~leichen/)

主页列 Knowledge Base、Big Graph、Data-Driven ML 三组。

### [Spatial-temporal crowdsourcing](https://cse.hkust.edu.hk/~leichen/)

主页分组与近期 time-dependent road network 插单工作相连。

### [Blockchain and DB4AI](https://cse.hkust.edu.hk/~leichen/)

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](https://cse.hkust.edu.hk/~leichen/)

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。

## 实验室与成员

[Database Research Group；Knowledge Base、ML、Big Graph、Spatial Temporal/Crowdsourcing、Blockchain、DB4AI 子方向](https://cse.hkust.edu.hk/~leichen/)

HKUST Department of Computer Science and Engineering

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）

| 成员与公开档案 | 身份与时间 | 教育背景 | 研究与经历 | 量化记录 |

| --- | --- | --- | --- | --- |

| [YeongSeo Jung](https://cse.hkust.edu.hk/dbml/) | PhD；Computer Science and Engineering | | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Linrui LI](https://cse.hkust.edu.hk/dbml/) | PhD；Computer Science and Engineering | | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Jialiang WANG](https://cse.hkust.edu.hk/dbml/) | PhD；Computer Science and Engineering | | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Eunseo JUNG](https://cse.hkust.edu.hk/dbml/) | MPhil；Computer Science and Engineering | | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Luyu QIU](https://cse.hkust.edu.hk/dbml/) | PhD；Computer Science and Engineering | | Ph.D Student (Part-time) in Department of Computer Science and Engineering, HKUST | — |

| [Yuchen LIU](https://cse.hkust.edu.hk/dbml/) | PhD | | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Chengmin WU (Rebacca)](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD | | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Jianxia LIN](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD | | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Zhifeng Jia](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD；Individualized Interdisciplinary Program (Data Science and Analytics) | | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11；Individualized Interdisciplinary Program | — |

| [Yubo WANG](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD；Computer Science and Engineering | | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Fei TENG](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD；Computer Science and Engineering | | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Yueying LIU](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD | | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Shi CHEN](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD；Individualized 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 TANG](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD；Computer Science and Engineering | | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Chunming MA](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD | | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Qixiao Zhong](https://cse.hkust.edu.hk/biggraph/index.html) | MPhil | | graph data management | — |

| [Yuxiang Zeng](https://cse.hkust.edu.hk/stc/) | Postdoc | | spatial-temporal crowdsourcing | — |

| [Qiyu Liu](https://cse.hkust.edu.hk/stc/) | Postdoc | | spatial-temporal crowdsourcing | — |

| [Siyuan Han](https://cse.hkust.edu.hk/blockchain/index.html) | PhD；Computer Science and Engineering | [Harbin Institute of Technology](https://cse.hkust.edu.hk/blockchain/index.html) · BEng；[HKUST](https://cse.hkust.edu.hk/blockchain/index.html) · MSc, IT | database and blockchain systems | — |

| [Pengze Chen](https://cse.hkust.edu.hk/blockchain/index.html) | PhD；Computer Science and Engineering | [Sun Yat-sen University](https://cse.hkust.edu.hk/blockchain/index.html) · BEng；[HKUST](https://cse.hkust.edu.hk/blockchain/index.html) · MSc, BDT | database and blockchain systems | — |

| [Chouyue Huang](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；Atmospheric Environmental Science | | 共同指导； | — |

| [Tong Li](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；Computer Science and Engineering | | 共同指导； | — |

| [Ran Li](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；Individualized Interdisciplinary Program (Data Science and Analytics) | | ；Individualized Interdisciplinary Program | — |

| [Qiqi Zhou](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；Computer Science and Engineering | | | — |

| [Zhiyuan Li](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；Computer Science and Engineering | | | — |

### 校友与去向（51）

| 成员与公开档案 | 身份与时间 | 教育背景 | 研究与经历 | 量化记录 |

| --- | --- | --- | --- | --- |

| [Zheng LIU](https://scholar.google.com/citations?user=k2SF4M0AAAAJ) | PhD；2018 | | researcher at MSRA.；Doctor, Graduated in August 2018, now researcher at MSRA. | — |

| [Yongqi ZHANG](https://yzhangee.github.io) · [GitHub](https://github.com/yzhangee) · [Google Scholar](https://scholar.google.com/citations?user=nVk-7EAAAAAJ) · [ORCID](https://orcid.org/0000-0003-2085-7418) | PhD；2020 | | researcher at 4Paradigm.；Doctor, Graduated in March 2020, now researcher at 4Paradigm. | [GitHub 关注](https://github.com/yzhangee) 38；[Stars](https://github.com/yzhangee) 58 |

| [Shimin DI](https://sdiaa.github.io) · [Google Scholar](https://scholar.google.com/citations?user=zLAZJLMAAAAJ) · [DBLP](https://dblp.org/pid/223/3142) · [GitHub](https://github.com/sdiaa) · [ORCID](https://orcid.org/0000-0002-7394-0082) | PhD；2022 | | Postdoc at HKUST.；Doctor, Graduated in January 2022, now Postdoc at HKUST. | [DBLP 近三年](https://dblp.org/pid/223/3142) 78；[GitHub 关注](https://github.com/sdiaa) 4；[Stars](https://github.com/sdiaa) 2 |

| [Jingshu PENG](https://cse.hkust.edu.hk/dbml/) | PhD；2022 | | Doctor, Graduated in September 2022. | — |

| [Haoyang LI](https://cse.hkust.edu.hk/dbml/) | PhD；Computer Science and Engineering | 2023 · [HKUST](https://cse.hkust.edu.hk/dbml/) · PhD | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Likang WANG](https://cse.hkust.edu.hk/dbml/) | PhD；Computer Science and Engineering | 2024 · [HKUST](https://cse.hkust.edu.hk/dbml/) · PhD | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Ge LV](https://cse.hkust.edu.hk/dbml/) | PhD；Computer Science and Engineering | 2023 · [HKUST](https://cse.hkust.edu.hk/dbml/) · PhD | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Jia LI](https://cse.hkust.edu.hk/dbml/) | PhD；Computer Science and Engineering | 2024 · [HKUST](https://cse.hkust.edu.hk/dbml/) · PhD | Ph.D Student in Department of Computer Science and Engineering, HKUST | — |

| [Xujia LI](https://cse.hkust.edu.hk/dbml/) | PhD；Individualized Interdisciplinary Program (Data Science and Analytics) | 2024 · [HKUST](https://cse.hkust.edu.hk/dbml/) · PhD | Ph.D Student in Department of Computer Science and Engineering, HKUST；Individualized Interdisciplinary Program | — |

| [Hanmo LIU](https://cse.hkust.edu.hk/dbml/) | PhD；Individualized Interdisciplinary Program (Data Science and Analytics) | 2025 · [HKUST](https://cse.hkust.edu.hk/dbml/) · PhD | Ph.D Student in Department of Computer Science and Engineering, HKUST；共同指导；Individualized Interdisciplinary Program | — |

| [Shihong GAO](https://cse.hkust.edu.hk/dbml/) | PhD；Individualized Interdisciplinary Program (Data Science and Analytics) | 2025 · [HKUST](https://cse.hkust.edu.hk/dbml/) · PhD | Ph.D Student in Department of Computer Science and Engineering, HKUST；共同指导；Individualized Interdisciplinary Program | — |

| [Hao XIN](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD；Computer Science and Engineering | 2024 · [HKUST](https://cse.hkust.edu.hk/knowledgegraph/home.html) · PhD | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Jiawei Zhou](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD；Individualized Interdisciplinary Program (Data Science and Analytics) | 2026 · [HKUST](https://cse.hkust.edu.hk/knowledgegraph/home.html) · PhD | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11；Individualized Interdisciplinary Program | — |

| [Yushi SUN](https://cse.hkust.edu.hk/knowledgegraph/home.html) | PhD；Computer Science and Engineering | 2025 · [HKUST](https://cse.hkust.edu.hk/knowledgegraph/home.html) · PhD | knowledge graph construction/refinement；Knowledge Base 组页，更新于 2024-03-11 | — |

| [Xueling LIN (Sherry)](https://cse.hkust.edu.hk/knowledgegraph/home.html) | Graduate student | | | — |

| [Meng RUI (Rachel)](https://cse.hkust.edu.hk/knowledgegraph/home.html) | Graduate student | | | — |

| [Yunfan CHEN](https://cse.hkust.edu.hk/knowledgegraph/home.html) | Graduate student | | | — |

| [Anxin Tian](https://cse.hkust.edu.hk/biggraph/index.html) | PhD；Individualized Interdisciplinary Program (Data Science and Analytics) | 2025 · [HKUST](https://cse.hkust.edu.hk/biggraph/index.html) · PhD | graph data management；；Individualized Interdisciplinary Program | — |

| [Xun Jian](https://cse.hkust.edu.hk/biggraph/index.html) | PhD | | graph data management | — |

| [Yue Wang](https://cse.hkust.edu.hk/biggraph/index.html) | PhD | | graph data management | — |

| [Zijian Li](https://cse.hkust.edu.hk/biggraph/index.html) | PhD | | graph data management | — |

| [Xiaofei Zhang](https://cse.hkust.edu.hk/biggraph/index.html) | PhD | | graph data management | — |

| [Xiang Lian](https://cse.hkust.edu.hk/biggraph/index.html) | PhD | | graph data management | — |

| [Yongxin Tong](https://cse.hkust.edu.hk/stc/) | PhD；2014 | | Professor, Beihang University | — |

| [Yingxia Shao](https://cse.hkust.edu.hk/biggraph/index.html) | RA | | graph data management | — |

| [Wenjie Liu](https://cse.hkust.edu.hk/biggraph/index.html) | Visitor | | graph data management | — |

| [Maocheng Li](https://cse.hkust.edu.hk/stc/) | PhD；Computer Science and Engineering | 2025 · [HKUST](https://cse.hkust.edu.hk/stc/) · PhD | spatial-temporal crowdsourcing | — |

| [Jiachuan Wang](https://cse.hkust.edu.hk/stc/) | PhD；Computer Science and Engineering | 2024 · [HKUST](https://cse.hkust.edu.hk/stc/) · PhD | spatial-temporal crowdsourcing | — |

| [Zengyang Gong](https://cse.hkust.edu.hk/stc/) | PhD；Computer Science and Engineering | 2025 · [HKUST](https://cse.hkust.edu.hk/stc/) · PhD | spatial-temporal crowdsourcing | — |

| [Zhao Chen](https://cse.hkust.edu.hk/stc/) | PhD；2020 | | | — |

| [Libin Zheng (Robin)](https://cse.hkust.edu.hk/stc/) | PhD；2019 | | Associate Professor, Sun Yat-sen University | — |

| [Peng Cheng](https://cse.hkust.edu.hk/stc/) | PhD；2017 | | Researcher / Associate Professor, East China Normal University | — |

| [Chen Cao](https://cse.hkust.edu.hk/stc/) | PhD；2014 | | | — |

| [Rui Fu](https://cse.hkust.edu.hk/stc/) | MPhil；2015 | | | — |

| [Leihao Xia](https://cse.hkust.edu.hk/stc/) | MPhil；2015 | | | — |

| [Ziyuan Zhao](https://cse.hkust.edu.hk/stc/) | MPhil；2015 | | WeChat, Tencent | — |

| [Jiayang Tu (Fiona)](https://cse.hkust.edu.hk/stc/) | MPhil；2018 | | Lenovo HK | — |

| [Manli Yu](https://cse.hkust.edu.hk/stc/) | MPhil；2021 | | | — |

| [Zihuan Xu](https://cse.hkust.edu.hk/blockchain/index.html) | PhD；Computer Science and Engineering | [Sichuan University](https://cse.hkust.edu.hk/blockchain/index.html) · BEng；[HKUST](https://cse.hkust.edu.hk/blockchain/index.html) · MSc, IT；2023 · [HKUST](https://cse.hkust.edu.hk/blockchain/index.html) · PhD | database and blockchain systems | — |

| [Wangze Ni](https://cse.hkust.edu.hk/blockchain/index.html) | PhD；Computer Science and Engineering | [Zhejiang University](https://cse.hkust.edu.hk/blockchain/index.html) · BEng；[HKUST](https://cse.hkust.edu.hk/blockchain/index.html) · MPhil, TLE；2023 · [HKUST](https://cse.hkust.edu.hk/blockchain/index.html) · PhD | database and blockchain systems | — |

| [Weijie Sun](https://cse.hkust.edu.hk/blockchain/index.html) | PhD；Computer Science and Engineering | [Zhejiang University](https://cse.hkust.edu.hk/blockchain/index.html) · BEng；2026 · [HKUST](https://cse.hkust.edu.hk/blockchain/index.html) · PhD | database and blockchain systems | — |

| [Nian Chen](https://cse.hkust.edu.hk/blockchain/index.html) | MPhil | [Zhejiang University](https://cse.hkust.edu.hk/blockchain/index.html) · BA；[HKUST](https://cse.hkust.edu.hk/blockchain/index.html) · MPhil, TLE | | — |

| [Weihong Wang](https://cse.hkust.edu.hk/blockchain/index.html) | RA | [Huazhong University of Science and Technology](https://cse.hkust.edu.hk/blockchain/index.html) · BEng | | — |

| [Xin Zhang](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；2026；Individualized Interdisciplinary Program (Data Science and Analytics) | | ；Individualized Interdisciplinary Program | — |

| [Jingzhi Fang](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；2024；Computer Science and Engineering | | | — |

| [Alexander Tiannan Zhou](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；2024；Computer Science and Engineering | | | — |

| [Man Li](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；2023；Industrial Engineering and Decision Analytics | | 共同指导； | — |

| [Yiming Li](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；2023；Computer Science and Engineering | | | — |

| [Xueyang Wu](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | PhD；2023；Computer Science and Engineering | | 共同指导； | — |

| [Mengxuan Li](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | MPhil；2025；Computer Science and Engineering | | | — |

| [Kai Hiu Chung](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) | MPhil；2023；Computer Science and Engineering | | | — |

## 业界合作

学校项目记录列有企业资助的研究项目。

- **[Microsoft Research Asia](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) · 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](https://facultyprofiles.hkust.edu.hk/profiles.php?profile=lei-chen-leichen) · 资助研究项目**。牵头项目 EXPLAINABLE AI: A Hybrid Approach with Visualization, Model, Knowledge and Metamorphic Relation（2020 - 2024）

## 学术贡献与服务

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。](https://cse.hkust.edu.hk/~leichen/)

## 论文分析

### 2024 · [Real-time Insertion Operator for Shared Mobility on Time-Dependent Road Networks](https://www.vldb.org/pvldb/vol17/p1669-zeng.pdf)

PVLDB

- **问题**：静态旅行时间假设在共享出行实时插单中不成立。

- **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。

- **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**：线性结论使用指定 time-dependent road network 与 FIFO 条件。

- **研究线**：持续时空/crowdsourcing 服务算法。

阅读：Abstract；Introduction（开头）；Conclusion（开头）。

### 2025 · [Why Are Learned Indexes So Effective but Sometimes Ineffective?](https://www.vldb.org/pvldb/vol18/p2886-liu.pdf)

PVLDB

- **问题**：PGM 理论效果与实际 memory-bound 查询出现差距。

- **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。

- **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**：复杂度结论有论文内分布/模型前提；硬件成本需校准。

- **研究线**：以分布与硬件机制分析改进 learned indexes（AI for DB）。

阅读：Abstract；Introduction（开头）；Conclusion（开头）。

### 2026 · [Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling](https://www.vldb.org/pvldb/vol19/p1184-zhang.pdf)

PVLDB

- **问题**：固定 CPU/GPU batching 绑定导致算力、PCIe 空闲。

- **方法**：MorphGL 自适应分派 batching，Dual-Buffer Scheduling 协同训练阶段。

- **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**：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。

- **研究线**：承接 Sancus/DAHA 等图训练效率路线。

阅读：Abstract；Introduction（开头）；Conclusion（开头）。

## 2024–2026 论文目录

### 2026

- [A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation](https://doi.org/10.1007/978-981-92-0372-7_29)。[DASFAA (4)](https://dblp.org/rec/conf/dasfaa/YuanLDWZMCZY26)

- [AGRAG: Advanced Graph-Based Retrieval-Augmented Generation for LLMs](https://doi.org/10.1109/ICDE65706.2026.00110)。[ICDE](https://dblp.org/rec/conf/icde/WangLTC26)

- [BAED: A new paradigm for few-shot graph learning with explanation in the loop](https://doi.org/10.1016/J.NEUNET.2026.108673)。[Neural Networks](https://dblp.org/rec/journals/nn/ChenLHLLLC26)

- [Benchmarking Time Series Databases: Current State and Future Perspectives (Panel)](https://doi.org/10.1007/978-3-031-93858-0_4)。[TPCTC](https://dblp.org/rec/conf/tpctc/ChenLLNWWZ24)

- [Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review](https://doi.org/10.48550/ARXIV.2609.05947)。[CoRR](https://dblp.org/rec/journals/corr/abs-2609-05947)

- [BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented Generation](https://doi.org/10.18653/V1/2026.FINDINGS-ACL.2163)。[ACL (Findings)](https://dblp.org/rec/conf/acl/YeWZCL26)

- [CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering](https://doi.org/10.48550/ARXIV.2604.26176)。[CoRR](https://dblp.org/rec/journals/corr/abs-2604-26176)

- [Context Distillation as Latent Memory Management](https://doi.org/10.48550/ARXIV.2605.28889)。[CoRR](https://dblp.org/rec/journals/corr/abs-2605-28889)

- [CytoCrowd: A Multi-Annotator Benchmark Dataset for Cytology Image Analysis](https://doi.org/10.1145/3774904.3792891)。[WWW](https://dblp.org/rec/conf/www/SiZCZCCY26)

- [Dynamic Service Knowledge Base Construction at WeChat](https://doi.org/10.1007/978-981-95-3462-3_12)。[ADMA (4)](https://dblp.org/rec/conf/adma/LiZJLZXYMLLC25)

- [Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling](https://www.vldb.org/pvldb/vol19/p1184-zhang.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/ZhangSSLC26)

- [Efficient Task Assignment for Multi-Workerset Crowdsourcing with Time and Expense Considerations](https://doi.org/10.1007/S00778-026-00969-5)。[VLDB J.](https://dblp.org/rec/journals/vldb/XiaoICM26)

- [Efficient Zero-Shot and Label-free Log Anomaly Detection for Resource-Constrained Systems](https://doi.org/10.1109/ICDE65706.2026.00056)。[ICDE](https://dblp.org/rec/conf/icde/WuWZZLC26)

- [Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies](https://doi.org/10.48550/ARXIV.2607.17166)。[CoRR](https://dblp.org/rec/journals/corr/abs-2607-17166)

- [Exploring Sequential Dynamics on Temporal Graphs via Composite Filtering](https://doi.org/10.1145/3774904.3792101)。[WWW](https://dblp.org/rec/conf/www/XuWLWZCZ26)

- [FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search](https://doi.org/10.1145/3786651)。[Proc. ACM Manag. Data](https://dblp.org/rec/journals/pacmmod/WuJCZCTSSSL26)

- [From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation](https://doi.org/10.48550/ARXIV.2604.14805)。[CoRR](https://dblp.org/rec/journals/corr/abs-2604-14805)

- [From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs](https://doi.org/10.48550/ARXIV.2606.09508)。[CoRR](https://dblp.org/rec/journals/corr/abs-2606-09508)

- [GORAG: Graph-based Online Retrieval Augmented Generation for Dynamic Few-shot Social Media Text Classification](https://doi.org/10.1145/3774904.3793011)。[WWW](https://dblp.org/rec/conf/www/WangLTC26)

- [GPU-Accelerated Algorithms for Graph Vector Search: Taxonomy, Empirical Study, and Research Directions](https://doi.org/10.48550/ARXIV.2602.16719)。[CoRR](https://dblp.org/rec/journals/corr/abs-2602-16719)

- [Graph Foundation Models: State of the Art and Future Directions](https://www.vldb.org/pvldb/vol19/p4918-zhou.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/ZhouLC26)

- [GraphAgent: An Effective Knowledge-Guided GNN Model Selection System](https://www.vldb.org/pvldb/vol19/p4630-li.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/ZhangLXHCZLC26)

- [Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System](https://doi.org/10.1145/3770855.3818964)。[KDD (2)](https://dblp.org/rec/conf/kdd/LeiMWLCYTCRL26)

- [HIRES: A hierarchical retrieval framework for flexible whole slide image navigation](https://doi.org/10.1016/J.ESWA.2026.132867)。[Expert Syst. Appl.](https://dblp.org/rec/journals/eswa/SiZCSZCCY26)

- [INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Reasoning](https://doi.org/10.1109/IVWORKSHOPS71735.2026.11624122)。[IV Workshops](https://dblp.org/rec/conf/ivs/ChenZCLY26)

- [KAMP: Knowledge-Anchored Multimodal Pretraining Framework for Medical Image Representation](https://openaccess.thecvf.com/content/CVPR2026/html/Huang_KAMP_Knowledge-Anchored_Multimodal_Pretraining_Framework_for_Medical_Image_Representation_CVPR_2026_paper.html)。[CVPR](https://dblp.org/rec/conf/cvpr/HuangLCWCC26)

- [LakeHopper: Cross Data Lakes Column Type Annotation through Model Adaptation](https://doi.org/10.48550/ARXIV.2602.08793)。[CoRR](https://dblp.org/rec/journals/corr/abs-2602-08793)

- [Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook](https://doi.org/10.1145/3821637)。[ACM Comput. Surv.](https://dblp.org/rec/journals/csur/JinKLZXWZWCLTZCXPW26)

- [Learning to Compose for Cross-domain Agentic Workflow Generation](https://doi.org/10.48550/ARXIV.2602.11114)。[CoRR](https://dblp.org/rec/journals/corr/abs-2602-11114)

- [LICO: An SIMD-Aware High-Performance Learned Inverted Index Compression Framework](https://doi.org/10.1145/3802079)。[Proc. ACM Manag. Data](https://dblp.org/rec/journals/pacmmod/ZhuLZSLHC26)

- [MERIT: Efficient In-Place Deletion for Dynamic Graph-Based Approximate Nearest Neighbor Indexes](https://doi.org/10.48550/ARXIV.2607.29173)。[CoRR](https://dblp.org/rec/journals/corr/abs-2607-29173)

- [Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey](https://doi.org/10.1145/3773079)。[ACM Comput. Surv.](https://dblp.org/rec/journals/csur/WangLZKWZWSC26)

- [Noisy Interactive Graph Search: An Uncertainty-Based Approach with Online Modeling of Latent Expertise and Difficulty](https://www.vldb.org/pvldb/vol19/p3119-tang.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/LinghuCFCT26)

- [Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge](https://doi.org/10.48550/ARXIV.2601.10485)。[CoRR](https://dblp.org/rec/journals/corr/abs-2601-10485)

- [Personalized w-event privacy for infinite stream estimation](https://doi.org/10.1007/S00778-026-01004-3)。[VLDB J.](https://dblp.org/rec/journals/vldb/DuZCCLXL26)

- [Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search](https://doi.org/10.1145/3774904.3792794)。[WWW](https://dblp.org/rec/conf/www/LiKCZCDMZPCWZZX26)

- [Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models](https://doi.org/10.1145/3773966.3777982)。[WSDM](https://dblp.org/rec/conf/wsdm/WangLDWWC026)

- [QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving](https://doi.org/10.48550/ARXIV.2606.05875)。[CoRR](https://dblp.org/rec/journals/corr/abs-2606-05875)

- [QCFuse: Query-Centric Cache Fusion for Efficient RAG Inference](https://doi.org/10.48550/ARXIV.2604.08585)。[CoRR](https://dblp.org/rec/journals/corr/abs-2604-08585)

- [RAC: Relation-Aware Cache Replacement for Large Language Models](https://doi.org/10.48550/ARXIV.2602.21547)。[CoRR](https://dblp.org/rec/journals/corr/abs-2602-21547)

- [Retain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory](https://doi.org/10.1145/3770854.3783919)。[KDD (1)](https://dblp.org/rec/conf/kdd/LiCCLZKLMCSWZZX26)

- [Return to the Boston Area After 50+ Years: What can we learn from VLDB 1975?](https://www.vldb.org/pvldb/vol19/p4983-srivastava.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/BernsteinCDLMMMSS26)

- [Robust LLM-based Multi-Agent System with Action Negotiation and Sharing Redundancy Enhancement](https://doi.org/10.1145/3770854.3780202)。[KDD (1)](https://dblp.org/rec/conf/kdd/LiCHC26)

- [RobustReviewAI: A Robustness Evaluation System for AI-Powered Peer Review](https://doi.org/10.1145/3774905.3793138)。[WWW (Companion Volume)](https://dblp.org/rec/conf/www/YuanLZNDCR26)

- [Securing Retrieval-Augmented Generation: A Taxonomy of Attacks, Defenses, and Future Directions](https://doi.org/10.48550/ARXIV.2604.08304)。[CoRR](https://dblp.org/rec/journals/corr/abs-2604-08304)

- [SJBP: A Platform to Launch a Novel Jailbreak Attack on Large Language Models Based on Content's Spatial Distribution](https://doi.org/10.1145/3774905.3793104)。[WWW (Companion Volume)](https://dblp.org/rec/conf/www/MouQXNSCQCR26)

- [Skyline Retrieval meets Set-Cover Chunk Merging: A Cost-Effective RAG-Sketch for Long-Context LLM QA](https://doi.org/10.1145/3802111)。[Proc. ACM Manag. Data](https://dblp.org/rec/journals/pacmmod/ZhuLZC26)

- [TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language Models](https://doi.org/10.48550/ARXIV.2609.15205)。[CoRR](https://dblp.org/rec/journals/corr/abs-2609-15205)

- [Time-Optimal Route Planning for Non-linear Recharging Electric Vehicles on Road Networks](https://doi.org/10.1007/978-981-95-4149-2_15)。[DASFAA (4)](https://dblp.org/rec/conf/dasfaa/XiaoSCCNZSLW25)

- [TimeBlocks: Foundational and Continual Time-Series Blockbase - Extended Version](https://doi.org/10.48550/ARXIV.2606.02142)。[CoRR](https://dblp.org/rec/journals/corr/abs-2606-02142)

- [TimeBlocks: Versatile and Continual Time-Series Blockbase](https://doi.org/10.1145/3770855.3817919)。[KDD (2)](https://dblp.org/rec/conf/kdd/CamposYKCGJ26)

- [Towards A Generalizable and Expressive Graph Neural Network for Graph-Level Tasks with Theoretical Guarantees](https://doi.org/10.1007/S00778-026-00978-4)。[VLDB J.](https://dblp.org/rec/journals/vldb/QiuXLZZCCL26)

- [TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning Agents](https://doi.org/10.1145/3770855.3817533)。[KDD (2)](https://dblp.org/rec/conf/kdd/ChenWGHNDZC26)

- [UniRTL: Unifying Code and Graph for Robust RTL Representation Learning](https://doi.org/10.48550/ARXIV.2605.31040)。[CoRR](https://dblp.org/rec/journals/corr/abs-2605-31040)

- [URICA: A Uniformity Region Affine Identifier Capture Algorithm for Arbitrary Region Retrieval in Pathology Images](https://openaccess.thecvf.com/content/CVPR2026/html/Su_URICA_A_Uniformity_Region_Affine_Identifier_Capture_Algorithm_for_Arbitrary_CVPR_2026_paper.html)。[CVPR](https://dblp.org/rec/conf/cvpr/SuCCC26)

- [VoG: Enhancing LLM Reasoning through Stepwise Verification on Knowledge Graphs](https://proceedings.iclr.cc/paper_files/paper/2026/hash/ab1ee157f7804a13f980414b644a9460-Abstract-Conference.html)。[ICLR](https://dblp.org/rec/conf/iclr/ZhaoWZLDWC26)

- [WALDEN: Workload-Aware Learned Tree Index](https://doi.org/10.1007/S41019-025-00332-8)。[Data Sci. Eng.](https://dblp.org/rec/journals/dase/SunZZCZYC26)

- [When AI reviews science: Can we trust the referee?](https://doi.org/10.48550/ARXIV.2604.23593)。[CoRR](https://dblp.org/rec/journals/corr/abs-2604-23593)

### 2025

- [A Caching-based Framework for Scalable Temporal Graph Neural Network Training](https://doi.org/10.1145/3705894)。[ACM Trans. Database Syst.](https://dblp.org/rec/journals/tods/LiSCY25)

- [A Knowledge Extraction Framework on Cyber Threat Reports with Enhanced Security Profiles](https://doi.org/10.1145/3726302.3729880)。[SIGIR](https://dblp.org/rec/conf/sigir/Cai00L025)

- [A Responsible and Extendable Context-Aware Recommender System](https://doi.org/10.1145/3701716.3715164)。[WWW (Companion Volume)](https://dblp.org/rec/conf/www/ZhouCHWZ0Z25)

- [A Selective Learning Method for Temporal Graph Continual Learning](https://proceedings.mlr.press/v267/liu25l.html)。[ICML](https://dblp.org/rec/conf/icml/LiuD000025)

- [A Survey on Large Language Model Acceleration based on KV Cache Management](https://openreview.net/forum?id=z3JZzu9EA3)。[Trans. Mach. Learn. Res.](https://dblp.org/rec/journals/tmlr/0002LTTXCHD0025)

- [Accelerating Approximate Nearest Neighbor Search in Hierarchical Graphs: Efficient Level Navigation with Shortcuts](https://www.vldb.org/pvldb/vol18/p3518-chen.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/GongZC25)

- [Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference](https://doi.org/10.48550/ARXIV.2502.13542)。[CoRR](https://dblp.org/rec/journals/corr/abs-2502-13542)

- [Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning](https://doi.org/10.1145/3711896.3736829)。[KDD (2)](https://dblp.org/rec/conf/kdd/0017WZL025)

- [Approximate Nearest Neighbor Search of Large Scale Vectors on Distributed Storage](https://doi.org/10.48550/ARXIV.2510.17326)。[CoRR](https://dblp.org/rec/journals/corr/abs-2510-17326)

- [Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving](https://doi.org/10.1145/3725394)。[Proc. ACM Manag. Data](https://dblp.org/rec/journals/pacmmod/GaoZSC25)

- [ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry](https://doi.org/10.18653/V1/2025.ACL-INDUSTRY.43)。[ACL (6)](https://dblp.org/rec/conf/acl/JiangWZGLCSGX025)

- [Augmenting Realistic Charts with Virtual Overlays](https://doi.org/10.1145/3706598.3714320)。[CHI](https://dblp.org/rec/conf/chi/ShiLL0025)

- [Authenticated Aggregate Queries with Boolean Range Predicates on Blockchains](https://www.vldb.org/pvldb/vol18/p3615-sun.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/SunXNCCZ25)

- [Automate Strategy Finding with LLM in Quant Investment](https://doi.org/10.18653/V1/2025.FINDINGS-EMNLP.1005)。[EMNLP (Findings)](https://dblp.org/rec/conf/emnlp/KouYLPLLDCHG25)

- [Beyond Model Base Selection: Weaving Knowledge to Master Fine-grained Neural Network Design](https://doi.org/10.48550/ARXIV.2507.15336)。[CoRR](https://dblp.org/rec/journals/corr/abs-2507-15336)

- [Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R2)GRPO](https://doi.org/10.48550/ARXIV.2505.22068)。[CoRR](https://dblp.org/rec/journals/corr/abs-2505-22068)

- [Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning](https://doi.org/10.48550/ARXIV.2508.18730)。[CoRR](https://dblp.org/rec/journals/corr/abs-2508-18730)

- [CARPO: Leveraging Listwise Learning-to-Rank for Context-Aware Query Plan Optimization](https://doi.org/10.48550/ARXIV.2509.03102)。[CoRR](https://dblp.org/rec/journals/corr/abs-2509-03102)

- [Circuit Transformer: A Transformer That Preserves Logical Equivalence](https://openreview.net/forum?id=kpnW12Lm9p)。[ICLR](https://dblp.org/rec/conf/iclr/0001LCZYW25)

- [ContextCache: Context-Aware Semantic Cache for Multi-Turn Queries in Large Language Models](https://www.vldb.org/pvldb/vol18/p5391-yan.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/YanNCLCQR25)

- [CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling](https://doi.org/10.1145/3725730)。[ACM Trans. Inf. Syst.](https://dblp.org/rec/journals/tois/RuanLCFZCCC25)

- [Distributed Truss Decomposition over Large Directed Graphs](https://doi.org/10.1007/S00778-025-00938-4)。[VLDB J.](https://dblp.org/rec/journals/vldb/TianZWJCZZ25)

- [E-SAM: Training-Free Segment Every Entity Model](https://doi.org/10.1109/ICCV51701.2025.02289)。[ICCV](https://dblp.org/rec/conf/iccv/ZhangXCW25)

- [EDGE: DBMS-Empowered Boolean Decomposition for GIG Synthesis](https://doi.org/10.1109/DAC63849.2025.11133306)。[DAC](https://dblp.org/rec/conf/dac/TangZZCLYX25)

- [Efficient Multiple Temporal Network Kernel Density Estimation](https://doi.org/10.48550/ARXIV.2501.07106)。[CoRR](https://dblp.org/rec/journals/corr/abs-2501-07106)

- [ESCFD: Probabilistic Flow Diffusion Model for Accelerated High-Quality Single-Cell RNA-seq Data Synthesis](https://doi.org/10.1145/3711896.3736942)。[KDD (2)](https://dblp.org/rec/conf/kdd/LiYWD025)

- [Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models](https://doi.org/10.18653/V1/2025.FINDINGS-ACL.1026)。[ACL (Findings)](https://dblp.org/rec/conf/acl/LiCXLHTLQZQ025)

- [Express What I Think: The Impact of External Human-Machine Interfaces on the Performance of Lane Change Maneuvers](https://doi.org/10.1145/3744333.3747837)。[AutomotiveUI](https://dblp.org/rec/conf/automotiveUI/LiHC25)

- [Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation](https://www.vldb.org/pvldb/vol18/p4309-zhou.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/ZhouSC25)

- [FQora: Towards Fair and Quality-based Online Data Marketplace](https://doi.org/10.1145/3701716.3715177)。[WWW (Companion Volume)](https://dblp.org/rec/conf/www/GuoLCCC25)

- [From Sancus to Sancusq: staleness and quantization-aware full-graph decentralized training in graph neural networks](https://doi.org/10.1007/S00778-024-00897-2)。[VLDB J.](https://dblp.org/rec/journals/vldb/PengLCSSCC25)

- [GalaxyView: Property Graph Transformation for Materialized View Generation](https://doi.org/10.1109/ICDE65448.2025.00335)。[ICDE](https://dblp.org/rec/conf/icde/TongTZZLC25)

- [GalaxyWeaver: Autonomous Table-to-Graph Conversion and Schema Optimization with Large Language Models](https://www.vldb.org/pvldb/vol18/p5100-tong.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/TongZZTLC25)

- [Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification](https://doi.org/10.48550/ARXIV.2501.02844)。[CoRR](https://dblp.org/rec/journals/corr/abs-2501-02844)

- [GTA: Grouped-head latenT Attention](https://doi.org/10.48550/ARXIV.2506.17286)。[CoRR](https://dblp.org/rec/journals/corr/abs-2506-17286)

- [HDLdebugger: Streamlining HDL debugging with Large Language Models](https://doi.org/10.1145/3735638)。[ACM Trans. Design Autom. Electr. Syst.](https://dblp.org/rec/journals/todaes/YaoLCXYHCY25)

- [How good are multi-dimensional learned indexes? An experimental survey](https://doi.org/10.1007/S00778-024-00893-6)。[VLDB J.](https://dblp.org/rec/journals/vldb/LiuLZSC25)

- [Hu-Fu: efficient and secure spatial queries over data federation](https://doi.org/10.1007/S00778-024-00896-3)。[VLDB J.](https://dblp.org/rec/journals/vldb/TongZSPFXZZCXXL25)

- [Hurricane Mixer: The Eye in the Storm - Embedding Regulatory Oversight into Cryptocurrency Mixing Services](https://eprint.iacr.org/2025/1659)。[IACR Cryptol. ePrint Arch.](https://dblp.org/rec/journals/iacr/LiNZLSCLZQR25)

- [Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation](https://doi.org/10.48550/ARXIV.2503.16893)。[CoRR](https://dblp.org/rec/journals/corr/abs-2503-16893)

- [Infinite Stream Estimation under Personalized w-Event Privacy](https://www.vldb.org/pvldb/vol18/p1905-cheng.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/DuCCSLX25)

- [Interactive Text-to-SQL via Expected Information Gain for Disambiguation](https://doi.org/10.48550/ARXIV.2507.06467)。[CoRR](https://dblp.org/rec/journals/corr/abs-2507-06467)

- [InTime: Towards Performance Predictability In Byzantine Fault Tolerant Proof-of-Stake Consensus](https://doi.org/10.1145/3709740)。[Proc. ACM Manag. Data](https://dblp.org/rec/journals/pacmmod/SunXNC25)

- [KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering](https://doi.org/10.18653/V1/2025.FINDINGS-EMNLP.329)。[EMNLP (Findings)](https://dblp.org/rec/conf/emnlp/SunSXYDTC25)

- [Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment](http://papers.nips.cc/paper_files/paper/2025/hash/44e924d3ee8354e69bcef2555108aa8c-Abstract-Datasets_and_Benchmarks_Track.html)。[NeurIPS](https://dblp.org/rec/conf/nips/ZhangXDLPWCW25)

- [Learning Towards Emergence: Paving the Way to Induce Emergence by Inhibiting Monosemantic Neurons on Pre-trained Models](https://doi.org/10.48550/ARXIV.2503.23298)。[CoRR](https://dblp.org/rec/journals/corr/abs-2503-23298)

- [LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation](https://www.vldb.org/pvldb/vol18/p3134-li.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/TengLC25)

- [LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn Dialogues](https://doi.org/10.48550/ARXIV.2507.13681)。[CoRR](https://dblp.org/rec/journals/corr/abs-2507-13681)

- [M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search](https://doi.org/10.1109/ICDE65448.2025.00333)。[ICDE](https://dblp.org/rec/conf/icde/LiZZMYSWXYC25)

- [Maximum Fanout-Free Window Enumeration: Towards Multi-Output Sub-Structure Synthesis](https://doi.org/10.23919/DATE64628.2025.10993186)。[DATE](https://dblp.org/rec/conf/date/TangZCLHYX25)

- [N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning](https://openreview.net/forum?id=rLlDt2FQvz)。[ICLR](https://dblp.org/rec/conf/iclr/0015LP00Z025)

- [Not Small Enough? SegPQ: A Learned Approach to Compress Product Quantization Codebooks](https://www.vldb.org/pvldb/vol18/p3730-liu.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/LiuQHPLC25)

- [Numerical Estimation of Spatial Distributions Under Differential Privacy](https://doi.org/10.1109/ICDE65448.2025.00057)。[ICDE](https://dblp.org/rec/conf/icde/DuCZLCXN25)

- [OpenMEL: Unsupervised Multimodal Entity Linking Using Noise-Free Expanded Queries and Global Coherence](https://www.vldb.org/pvldb/vol18/p2454-zhu.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/ZhuZC25)

- [Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis](https://doi.org/10.48550/ARXIV.2506.20139)。[CoRR](https://dblp.org/rec/journals/corr/abs-2506-20139)

- [PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing](https://doi.org/10.48550/ARXIV.2503.12167)。[CoRR](https://dblp.org/rec/journals/corr/abs-2503-12167)

- [Privacy-Utility Balanced Cooperative Online Matching in Spatial Crowdsourcing](https://doi.org/10.1007/S00778-025-00944-6)。[VLDB J.](https://dblp.org/rec/journals/vldb/YangCYWCS25)

- [Process Optimization of Multi-Stage Continuous Production System Based on Feature Fusion Modeling](https://doi.org/10.1109/TASE.2025.3612822)。[IEEE Trans Autom. Sci. Eng.](https://dblp.org/rec/journals/tase/LiYCLC25)

- [prompt4vis: prompting large language models with example mining for tabular data visualization](https://doi.org/10.1007/S00778-025-00912-0)。[VLDB J.](https://dblp.org/rec/journals/vldb/LiCSSZHC25)

- [RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search](https://doi.org/10.1145/3711896.3737258)。[KDD (2)](https://dblp.org/rec/conf/kdd/00060ZCCWXK0025)

- [Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements](https://doi.org/10.48550/ARXIV.2501.00773)。[CoRR](https://dblp.org/rec/journals/corr/abs-2501-00773)

- [SCAR: A Characterization Scheme for Multi-Modal Dataset](https://doi.org/10.48550/ARXIV.2508.19659)。[CoRR](https://dblp.org/rec/journals/corr/abs-2508-19659)

- [Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning](https://doi.org/10.48550/ARXIV.2507.01551)。[CoRR](https://dblp.org/rec/journals/corr/abs-2507-01551)

- [Semi-Parametric Retrieval via Binary Bag-of-Tokens Index](https://openreview.net/forum?id=l0fn10vSyM)。[ICLR](https://dblp.org/rec/conf/iclr/00030W025)

- [SINDI: an Efficient Index for Approximate Maximum Inner Product Search on Sparse Vectors](https://doi.org/10.48550/ARXIV.2509.08395)。[CoRR](https://dblp.org/rec/journals/corr/abs-2509-08395)

- [SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding](https://doi.org/10.1109/ICDE65448.2025.00124)。[ICDE](https://dblp.org/rec/conf/icde/JiaLLC25)

- [StructRide: A Framework to Exploit the Structure Information of Shareability Graph in Ridesharing](https://doi.org/10.1109/ICDE65448.2025.00055)。[ICDE](https://dblp.org/rec/conf/icde/ZhanCCCNL25)

- [Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models](https://openreview.net/forum?id=49fIu0yDJ4)。[ICLR](https://dblp.org/rec/conf/iclr/LiuDWWW0025)

- [The Last Survivor of PoS Pools: Staker's Dilemma](https://doi.org/10.1145/3726854.3727318)。[SIGMETRICS (Abstracts)](https://dblp.org/rec/conf/sigmetrics/HuangTCMCC25)

- [Top Ten Challenges Towards Agentic Neural Graph Databases](http://sites.computer.org/debull/A25mar/p104.pdf)。[IEEE Data Eng. Bull.](https://dblp.org/rec/journals/debu/Bai0Z0FHDCZTGXL25)

- [Towards Temporal Knowledge Graph Alignment in the Wild](https://doi.org/10.48550/ARXIV.2507.14475)。[CoRR](https://dblp.org/rec/journals/corr/abs-2507-14475)

- [Understanding the Embedding Models on Hyper-relational Knowledge Graph](https://doi.org/10.1145/3746252.3761370)。[CIKM](https://dblp.org/rec/conf/cikm/0006DW0TX025)

- [When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction](https://www.vldb.org/pvldb/vol18/p3396-li.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/LiXLLLZCL25)

- [Why Are Learned Indexes So Effective but Sometimes Ineffective?](https://www.vldb.org/pvldb/vol18/p2886-liu.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/LiuHQPLLC25)

### 2024

- [A decomposition-ensemble-integration framework for carbon price forecasting](https://doi.org/10.1016/J.ESWA.2024.124954)。[Expert Syst. Appl.](https://dblp.org/rec/journals/eswa/LiZCLC24)

- [A Universal and Interpretable Method for Enhancing Stock Price Prediction](https://doi.org/10.1145/3627673.3679731)。[CIKM](https://dblp.org/rec/conf/cikm/LiuD00L24)

- [Are Large Language Models a Good Replacement of Taxonomies?](https://www.vldb.org/pvldb/vol17/p2919-sun.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/SunHSXYDTC24)

- [BoostER: Leveraging Large Language Models for Enhancing Entity Resolution](https://doi.org/10.1145/3589335.3651245)。[WWW (Companion Volume)](https://dblp.org/rec/conf/www/LiLHZSC24)

- [Cardinality Estimation on Hyper-relational Knowledge Graphs](https://doi.org/10.48550/ARXIV.2405.15231)。[CoRR](https://dblp.org/rec/journals/corr/abs-2405-15231)

- [Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate](https://doi.org/10.48550/ARXIV.2403.13838)。[CoRR](https://dblp.org/rec/journals/corr/abs-2403-13838)

- [Class-aware and Augmentation-free Contrastive Learning from Label Proportion](https://doi.org/10.48550/ARXIV.2408.06743)。[CoRR](https://dblp.org/rec/journals/corr/abs-2408-06743)

- [CMixing: An Efficient Coin Mixing Platform to Enhance Anonymity in Cryptocurrency Transactions](https://www.vldb.org/pvldb/vol17/p4405-ni.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/NiZCCCZ24)

- [Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract)](https://doi.org/10.1109/ICDE60146.2024.00496)。[ICDE](https://dblp.org/rec/conf/icde/ChenZCCSZ24)

- [Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models](https://doi.org/10.48550/ARXIV.2408.06717)。[CoRR](https://dblp.org/rec/journals/corr/abs-2408-06717)

- [Cost-Aware Outdated Facts Correction in the Knowledge Bases](https://doi.org/10.1007/978-981-97-5562-2_17)。[DASFAA (4)](https://dblp.org/rec/conf/dasfaa/XinCS24)

- [CRAG - Comprehensive RAG Benchmark](http://papers.nips.cc/paper_files/paper/2024/hash/1435d2d0fca85a84d83ddcb754f58c29-Abstract-Datasets_and_Benchmarks_Track.html)。[NeurIPS](https://dblp.org/rec/conf/nips/YangSXSBCCGJJKM24)

- [Cross-Domain-Aware Worker Selection with Training for Crowdsourced Annotation](https://doi.org/10.1109/ICDE60146.2024.00026)。[ICDE](https://dblp.org/rec/conf/icde/SunWCZ0024)

- [DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning](https://www.vldb.org/pvldb/vol17/p1364-li.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/LiJWSC24)

- [Dissecting Multiplication in Transformers: Insights into LLMs](https://doi.org/10.48550/ARXIV.2407.15360)。[CoRR](https://dblp.org/rec/journals/corr/abs-2407-15360)

- [Distributed Graph Neural Network Training: A Survey](https://doi.org/10.1145/3648358)。[ACM Comput. Surv.](https://dblp.org/rec/journals/csur/ShaoLGYLMZCC24)

- [Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation](https://doi.org/10.1145/3638535)。[Trans. Recomm. Syst.](https://dblp.org/rec/journals/tors/ZhouLRCYS24)

- [E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks](https://doi.org/10.1109/ICDE60146.2024.00071)。[ICDE](https://dblp.org/rec/conf/icde/LiDCZ24)

- [Effective Data Selection and Replay for Unsupervised Continual Learning](https://doi.org/10.1109/ICDE60146.2024.00119)。[ICDE](https://dblp.org/rec/conf/icde/LiuDLLCZ24)

- [Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph](https://www.vldb.org/pvldb/vol18/p929-tang.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/SongCLLZZCT24)

- [Efficient Index for Temporal Core Queries over Bipartite Graphs](https://www.vldb.org/pvldb/vol17/p2813-tian.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/TianZWJC24)

- [Efficient Training of Graph Neural Networks on Large Graphs](https://www.vldb.org/pvldb/vol17/p4237-shen.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/ShenCFZGY24)

- [EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion](https://doi.org/10.48550/ARXIV.2402.09666)。[CoRR](https://dblp.org/rec/journals/corr/abs-2402-09666)

- [ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs](https://www.vldb.org/pvldb/vol17/p1060-gao.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/GaoLSSC24)

- [Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense](https://www.vldb.org/pvldb/vol17/p2050-li.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/LiDLCZ24)

- [Galaxybase: A High Performance Native Distributed Graph Database for HTAP](https://www.vldb.org/pvldb/vol17/p3893-tong.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/TongZZTTYLLBLC24)

- [GradGCL: Gradient Graph Contrastive Learning](https://doi.org/10.1109/ICDE60146.2024.00095)。[ICDE](https://dblp.org/rec/conf/icde/LiD0024)

- [Graph Anomaly Detection with Domain-Agnostic Pre-Training and Few-Shot Adaptation](https://doi.org/10.1109/ICDE60146.2024.00209)。[ICDE](https://dblp.org/rec/conf/icde/Li024)

- [How Good Are Multi-dimensional Learned Indices? An Experimental Survey](https://doi.org/10.48550/ARXIV.2405.05536)。[CoRR](https://dblp.org/rec/journals/corr/abs-2405-05536)

- [InLN: Knowledge-aware Incremental Leveling Network for Dynamic Advertising](https://doi.org/10.1145/3637528.3672032)。[KDD](https://dblp.org/rec/conf/kdd/LiP024)

- [KartGPS: Knowledge Base Update with Temporal Graph Pattern-based Semantic Rules](https://doi.org/10.1109/ICDE60146.2024.00105)。[ICDE](https://dblp.org/rec/conf/icde/XinC24)

- [KGLink: A Column Type Annotation Method that Combines Knowledge Graph and Pre-Trained Language Model](https://doi.org/10.1109/ICDE60146.2024.00083)。[ICDE](https://dblp.org/rec/conf/icde/WangXC24)

- [Knowledge-Enhanced Recommendation with User-Centric Subgraph Network](https://doi.org/10.1109/ICDE60146.2024.00102)。[ICDE](https://dblp.org/rec/conf/icde/LiuYZC24)

- [Learned Data Compression: Challenges and Opportunities for the Future](https://doi.org/10.48550/ARXIV.2412.10770)。[CoRR](https://dblp.org/rec/journals/corr/abs-2412-10770)

- [Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks](https://doi.org/10.1145/3637528.3671776)。[KDD](https://dblp.org/rec/conf/kdd/WangDCN24)

- [Logic Synthesis with Generative Deep Neural Networks](https://doi.org/10.48550/ARXIV.2406.04699)。[CoRR](https://dblp.org/rec/journals/corr/abs-2406-04699)

- [Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized Finance](https://doi.org/10.1145/3637528.3671942)。[KDD](https://dblp.org/rec/conf/kdd/NiZ0CCZ024)

- [Neural Moderation of ASMR Erotica Content in Social Networks](https://doi.org/10.1109/TKDE.2023.3283501)。[IEEE Trans. Knowl. Data Eng.](https://dblp.org/rec/journals/tkde/ChenJTSZC24)

- [On Leveraging Large Language Models for Enhancing Entity Resolution](https://doi.org/10.48550/ARXIV.2401.03426)。[CoRR](https://dblp.org/rec/journals/corr/abs-2401-03426)

- [OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models](https://doi.org/10.48550/ARXIV.2410.09671)。[CoRR](https://dblp.org/rec/journals/corr/abs-2410-09671)

- [PKBC: A Product-Specific Knowledge base Taxonomy Framework](https://doi.org/10.1007/978-981-97-5562-2_24)。[DASFAA (4)](https://dblp.org/rec/conf/dasfaa/XinCS24a)

- [Positive Communities on Signed Graphs That Are Not Echo Chambers: A Clique-Based Approach](https://doi.org/10.1109/ICDE60146.2024.00199)。[ICDE](https://dblp.org/rec/conf/icde/0001WCO24)

- [PredictEFC: a fast and efficient multi-label classifier for predicting enzyme family classes](https://doi.org/10.1186/S12859-024-05665-1)。[BMC Bioinform.](https://dblp.org/rec/journals/bmcbi/ChenZX24)

- [Privacy-Preserving Traffic Flow Release with Consistency Constraints](https://doi.org/10.1109/ICDE60146.2024.00138)。[ICDE](https://dblp.org/rec/conf/icde/ZhuZZCMC0024)

- [Querying Shortest Path on Large Time-Dependent Road Networks with Shortcuts](https://doi.org/10.1109/ICDE60146.2024.00345)。[ICDE](https://dblp.org/rec/conf/icde/GongZC24)

- [R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation](https://doi.org/10.48550/ARXIV.2406.13249)。[CoRR](https://dblp.org/rec/journals/corr/abs-2406-13249)

- [Real-time Insertion Operator for Shared Mobility on Time-Dependent Road Networks](https://www.vldb.org/pvldb/vol17/p1669-zeng.pdf)。[Proc. VLDB Endow.](https://dblp.org/rec/journals/pvldb/GongZC24)

- [Retrieval-based Disentangled Representation Learning with Natural Language Supervision](https://openreview.net/forum?id=ZlQRiFmq7Y)。[ICLR](https://dblp.org/rec/conf/iclr/ZhouLS00024)

- [R²AG: Incorporating Retrieval Information into Retrieval Augmented Generation](https://doi.org/10.18653/V1/2024.FINDINGS-EMNLP.678)。[EMNLP (Findings)](https://dblp.org/rec/conf/emnlp/YeLZC24)

- [Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks](https://doi.org/10.1109/ICDE60146.2024.00219)。[ICDE](https://dblp.org/rec/conf/icde/WangDC024)

- [Semi-Parametric Retrieval via Binary Token Index](https://doi.org/10.48550/ARXIV.2405.01924)。[CoRR](https://dblp.org/rec/journals/corr/abs-2405-01924)

- [SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph](https://doi.org/10.1145/3637528.3671769)。[KDD](https://dblp.org/rec/conf/kdd/LiDC024)

- [Similarity-driven and task-driven models for diversity of opinion in crowdsourcing markets](https://doi.org/10.1007/S00778-024-00853-0)。[VLDB J.](https://dblp.org/rec/journals/vldb/ZhangLZWCHH24)

- [SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement](https://doi.org/10.1145/3654977)。[Proc. ACM Manag. Data](https://dblp.org/rec/journals/pacmmod/GaoLZSS024)

- [SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training](https://doi.org/10.1007/978-3-031-70352-2_15)。[ECML/PKDD (3)](https://dblp.org/rec/conf/pkdd/GuLGZCS24)

- [Stable Task Assignment with Range Partition under Differential Privacy](https://doi.org/10.1007/978-981-97-5562-2_16)。[DASFAA (4)](https://dblp.org/rec/conf/dasfaa/DuCCNZL24)

- [STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction](https://doi.org/10.48550/ARXIV.2412.17524)。[CoRR](https://dblp.org/rec/journals/corr/abs-2412-17524)

- [STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically](https://doi.org/10.1145/3639323)。[Proc. ACM Manag. Data](https://dblp.org/rec/journals/pacmmod/FangSWC24)

- [Task Assignment Framework for Online Car-Hailing Systems With Electric Vehicles](https://doi.org/10.1109/TKDE.2024.3434567)。[IEEE Trans. Knowl. Data Eng.](https://dblp.org/rec/journals/tkde/NiCCY24)

- [The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models](https://doi.org/10.48550/ARXIV.2403.07257)。[CoRR](https://dblp.org/rec/journals/corr/abs-2403-07257)

- [TrendSharing: A Framework to Discover and Follow the Trends for Shared Mobility Services](https://doi.org/10.1109/ICDE60146.2024.00333)。[ICDE](https://dblp.org/rec/conf/icde/ZhanW0Z0Z0024)

- [Triple-D: Denoising Distant Supervision for High-Quality Data Creation](https://doi.org/10.1109/ICDE60146.2024.00151)。[ICDE](https://dblp.org/rec/conf/icde/ZhuZCC24)

- [UniCL: A Universal Contrastive Learning Framework for Large Time Series Models](https://doi.org/10.48550/ARXIV.2405.10597)。[CoRR](https://dblp.org/rec/journals/corr/abs-2405-10597)

- [Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems](https://doi.org/10.48550/ARXIV.2409.04740)。[CoRR](https://dblp.org/rec/journals/corr/abs-2409-04740)

- [Wait to be Faster: A Smart Pooling Framework for Dynamic Ridesharing](https://doi.org/10.1109/ICDE60146.2024.00034)。[ICDE](https://dblp.org/rec/conf/icde/ZhongJCNZC024)

- [XPose: eXplainable Human Pose Estimation](https://doi.org/10.48550/ARXIV.2403.12370)。[CoRR](https://dblp.org/rec/journals/corr/abs-2403-12370)
