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Literature

Overall Architecture

  1. Zhenkun Yang, Chuanhui Yang, Fusheng Han, Mingqiang Zhuang, Bing Yang, Zhifeng Yang, Xiaojun Cheng, Yuzhong Zhao, Wenhui Shi, Huafeng Xi, Huang Yu, Bin Liu, Yi Pan, Boxue Yin, Junquan Chen, and Quanqing Xu. 2022. OceanBase: A 707 Million tpmC Distributed Relational Database System. PVLDB, 15(12): 3385 - 3397, 2022.
  2. Zhifeng Yang, Quanqing Xu, Shanyan Gao, Chuanhui Yang, Guoping Wang, Yuzhong Zhao, Fanyu Kong, Hao Liu, Wanhong Wang, Jinliang Xiao. OceanBase Paetica: A Hybrid Shared-nothing/Shared-everything Database for Supporting Single Machine and Distributed Cluster. PVLDB,16(12): 3728 - 3740, 2023.
  3. Quanqing Xu, Chuanhui Yang, and Aoying Zhou. Native Distributed Databases: Problems, Challenges and Opportunities. PVLDB, 17(12): 4217 - 4220, 2024.
  4. Fusheng Han, Hao Liu, Bin Chen, Debin Jia, Jianfeng Zhou, Xuwang Teng, Chuanhui Yang, Huafeng Xi, Wei Tian, Shuning Tao, Sen Wang, Quanqing Xu, Zhenkun Yang. PALF: Replicated Write-ahead Logging for Distributed Databases. VLDB 2024, pp. 3745 - 3758.
  5. Quanqing Xu, Wei Sun, Chuanhui Yang, Jinlong Liu, Ziyun Wei, Fusheng Han, Liang Wang, Xiaowei Zhai. OceanBase Unitization: Building the Next Generation of Online Map Applications. In 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, 2025, pp. 4183-4196, doi: 10.1109/ICDE65448.2025.00312. (Best Industry and Application Paper Runner Up)
  6. Jiamin Hou, Zhanhao Zhao, Wei Lu, Shiming Yang, Shuang Liu, Quanqing Xu, Chuanhui Yang, Xiaoyong Du. An Efficient and Scalable Graph Database with Built-in Temporal Support. The VLDB Journal 34 (4), 1-25.
  7. 阳振坤, 杨传辉, 韩富晟, 王国平, 杨志丰, 成肖君. OceanBase分布式关系数据库架构与技术. 计算机研究与发展. 61（3）：540−554，2024.
  8. 马旭阳, 周小凯, 郑浩宇, 崔斌, 徐泉清, 杨传辉, 晏潇, 江佳伟. 基于无服务器计算的多方数据库安全计算系统. 软件学报, 2025, 36(3): 1084–1106

Storage Engine

  1. [Yina Lv, Qiao Li, Quanqing Xu, Chun Jason Xue. The Evolution of LSM-Tree Key-Value Stores: A Tutorial on State-of-the-Art and Future Directions. Accepted by ICDE 2026.]
  2. Zixiang Yu, Guangyang Deng, Zhirong Shen, Qiangsheng Su, Ronglong Wu, Xiaoli Wang, Quanqing Xu, Chuanhui Yang, and Zhifeng Bao. 2025. MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM Memories. In The International Conference for High Performance Computing, Networking, Storage and Analysis (SC ’25), November 16–21, 2025, St Louis, MO, USA. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3712285.3759776. (Best Student Paper Nomination)
  3. Dong Pan, Xu Zhou, Lingwei Li, Quanqing Xu, Chuanhui Yang, Chenhao Ma, Kenli Li. Efficient Structural Clustering over Hypergraphs. In 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, 2025, pp. 3480-3493, doi: 10.1109/ICDE65448.2025.00260.
  4. Xinle Cao, Weiqi Feng, Jian Liu, Jinjin Zhou, Wenjing Fang, Lei Wang,Quanqing Xu, Chuanhui Yang, and Kui Ren. Towards Practical Oblivious Map. PVLDB, 18(3): 688 - 701, 2024.
  5. Jiahui Yang, Fulin Nan, Zhirong Shen, Zhisheng Chen, Yuhui Cai, Dmitrii Kaplun, Xiaoli Wang, Quanqing Xu, Chuanhui Yang, and Jiwu Shu. TPRepair: Tree-Based Pipelined Repair in Clustered Storage Systems. ACM Transactions on Architecture and Code Optimization 22 (1), 1-25.
  6. Xiangyu Yao, Qiao Li, Kaihuan Lin, Xinbiao Gan, Jie Zhang, Congming Gao, Zhirong Shen, Quanqing Xu, Chuanhui Yang, Jason Xue. Extremely-Compressed SSDs with I/O Behavior Prediction. ACM Transactions on Storage, 20(4), pp.1-38.

Transaction Engine

  1. Hongyao Zhao, Wei Lu, Zhanhao Zhao, Yinhao Hong, QuanqingXu, Jinliang Xiao, Fusheng Han, Chuanhui Yang, Xiaoyong Du. An Efficient Two-Round Distributed Transaction Processing Approach over Heterogeneous Networks. The VLDB Journal 34 (4), 1-25.
  2. Chenguang Fang, Chen Qian, Qi Yang, Zeyu Wang, Zhenkun Yang, Fanyu Kong, Quanqing Xu, Hui Cao, Fusheng Han, and Chuanhui Yang. 2025. MaLT: A Framework for Managing Large Transactions in OceanBase. In Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3722212.3724442.
  3. Daokun Hu, Quanqing Xu, and Chuanhui Yang. 2025. OLTP Engines on Modern Storage Architectures. In Companion of the 2025 International Conferenceon Management of Data (SIGMOD-Companion ’25), June 22–27, 2025,Berlin, Germany. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3722212.3725633.
  4. Qian Zhang, Jingyao Li, Hongyao Zhao, Quanqing Xu, Wei Lu, Jinliang Xiao, Fushen Han, Chuanhui Yang, Xiaoyong Du. Efficient Distributed Transaction Processing in Heterogeneous Networks. PVLDB, 16(6): 1372 - 1385, 2023.
  5. Zhenkun Yang, Chen Qian, Xuwang Teng, Fanyu Kong, Fusheng Han, Quanqing Xu. LCL: A Lock Chain Length-based Distributed Algorithm for Deadlock Detection and Resolution. IEEE 39th International Conference on Data Engineering (ICDE), 151-163, 2023.
  6. Zhenkun Yang, Chen Qian, Xuwang Teng, Fanyu Kong, Fusheng Han, Quanqing Xu, Daokun Hu. LCL+: a Lock Chain Length-based Distributed Deadlock Detection and Resolution Service Built for OceanBase. ACM Trans. Comput. Syst., Vol. 43, No. 4, Article 15.

SQL Engine

  1. Sijia Li, Peng Cai, Zhifan Zhang, Huiqi Hu, Rong Zhang, Xuan Zhou, Quanqing Xu, and Chuanhui Yang. 2025.APQO: An Adaptive Framework for Parametric Query Optimization. Proc. ACM Manag. Data 3, 6 (SIGMOD),Article 296 (December 2025), 25 pages.
  2. Xuhua Huang, Zirui Hu, Siyang Weng, Rong Zhang, Chengcheng Yang,Xuan Zhou, Weining Qian, Chuanhui Yang, and Quanqing Xu. 2025. A Query-Aware Enormous Database Generator For System Performance Evaluation.In Companion of the 2025 International Conference on Managementof Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany. ACM,New York, NY, USA, 4 pages.
  3. Chenyang Zhang, Junxiong Peng, Chen Xu, Quanqing Xu, and Chuanhui Yang. 2025. Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine. Proc. ACM Manag. Data 3, 3 (SIGMOD),Article 189 (June 2025), 28 pages.
  4. Jinguo You, Wanting Fu, Yuxuan Wang, Peilei He, Kaiqi Liu, Quanqing Xu. Query Weak Equivalence and Its Verification in Analytical Databases. In 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, 2025, pp. 1882-1894, doi: 10.1109/ICDE65448.2025.00144.
  5. Songsong Mo, Yue Zhao, Zhifeng Bao, Quanqing Xu, Chuanhui Yang,and Gao Cong. RankPQO: Learning-to-Rank for Parametric Query Optimization. PVLDB, 18(3): 863 - 875, 2024.
  6. Chenyang Zhang, Junxiong Peng, Chen Xu, Quanqing Xu, Chuanhui Yang. IMBridge: Impedance Mismatch Mitigation between Database Engine and Prediction Query Execution. SIGMOD 2024, pp. 456-459.
  7. Hao Li, Qingshuai Wang, Zirui Hu, Xuhua Huang, Lyu Ni, Rong Zhang, Peng Cai, Xuan Zhou, Quanqing Xu. Touchstone+ : Query Aware Database Generation for Match Operators. DASFAA 2024, LNCS 14850, pp. 266-282, 2024.

System Evaluation

  1. Shuang Liu, Ruifeng Wang, Yuanfeng Xie, Junjie Chen, Wei Lu, Xiao Zhang, Quanqing Xu, Chuanhui Yang, Xiaoyong Du. A Comprehensive Study of Bugs in Relational DBMS. IEEE Transactions on Software Engineering (TSE), PrePrints pp. 1-14, doi: 10.1109/TSE.2025.3625300.
  2. [Zirui Hu, Siyang Weng, Zhicheng Pan, Rong Zhang, Chengcheng Yang, Peng Cai, Xuan Zhou, Quanqing Xu, Chuanhui Yang. Vodka: Rethink Benchmarking Philosophy in HTAP Systems. Accepted by VLDB 2026.]
  3. Huidong Zhang, Luyi Qu, Qingshuai Wang, Rong Zhang, Peng Cai, Quanqing Xu, Zhifeng Yang, Chuanhui Yang. Dike: A Benchmark Suite for Distributed Transactional Databases. SIGMOD 2023: 95-98.
  4. Luyi Qu, Qingshuai Wang, Ting Chen, Keqiang Li, Rong Zhang, Xuan Zhou, Quanqing Xu, Zhifeng Yang, Chuanhui Yang, Weining Qian, et al. 2022. Are current benchmarks adequate to evaluate distributed transactional databases? BenchCouncil Transactions on Benchmarks, Standards and Evaluations (2022), 100031.
  5. Qiang Huang, Xin Wang, Susie Xi Rao, Zhihao Han, Zitao Zhang, Yongjun He, Quanqing Xu, Yang Zhao, Zhigao Zheng, Jiawei Jiang. BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks. 2024 IEEE 40th International Conference on Data Engineering (ICDE), pp. 4044-4057.
  6. Zirui Hu, Rong Zhang, Chengcheng Yang, Xuan Zhou, Quanqing Xu, Chuanhui Yang. Artemis: A Customizable Workload Generation Toolkit for Benchmarking Cardinality Estimation. In 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, 2025, pp. 4628-4631, doi: 10.1109/ICDE65448.2025.00369.
  7. 翁思扬, 俞融, 王清帅, 胡梓锐, 倪葎, 张蓉, 周烜, 周傲英, 徐泉清, 杨传辉, 刘维, 杨攀飞. HTAP 评测基准的评测能力综述. 软件学报, 2025, 36(1): 424–445.

Data+AI

  1. [Jiuqi Wei, Quanqing Xu, Chuanhui Yang. The Virtuous Cycle: AI-Powered Vector Search and Vector Search-Augmented AI. Accepted by ICDE 2026.]
  2. Zhongwei Yue, Shujian Peng, Peng Cai, Xuan Zhou, Huiqi Hu, Rong Zhang, Quanqing Xu, Chuanhui Yang. Functionality-Aware Database Tuning via Multi-Task Learning. 2024 IEEE 40th International Conference on Data Engineering (ICDE), 83-95.
  3. [Zhongwei Yue, Jun-Peng Zhu, Peng Cai, Xuan Zhou, Quanqing Xu, Chuanhui Yang. ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning. Accepted by SIGMOD 2026.]
  4. [Shaojie Qiao, Rongmin Tang, Jiangmin Li, Yunjun Gao, Quanqing Xu, Nan Han, Bangping Wang, Guan Yuan, Xindong Wu. CMA+DB: How to Automatically Tune Database Parameters through Collaborative Multi-Agents. Accepted by TKDE.]
  5. [Xiaokai Zhou, Xiao Yan, Xinyan Li, Yuxiang Wang, Quanqing Xu, Chuang Hu, Tieyun Qian, Jiawei Jiang. HAL: Accurate, Private, and Efficient Sample Alignment for Multimodal Federated Learning. Accepted by KDD 2026.]
  6. Xuhang Zhu, Xiu Tang, Sai Wu, Jichen Li, Haobo Wang, Chang Yao, Quanqing Xu, Gang Chen. CoLA: Model Collaboration for Log-based Anomaly Detection. VLDB 2025, pp. 3979 - 3987.
  7. Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, and Chuanhui Yang. 2025. FedAPM: Federated Learning via ADMM with Partial Model Personalization. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD ’25), August 3–7, 2025, Toronto, ON, Canada. ACM, New York, NY, USA, 28 pages. https://doi.org/10.1145/3711896.3736954.
  8. Chaofan Li, Jianlyu Chen, Yingxia Shao, Chaozhuo Li, Quanqing Xu, Defu Lian, Zheng Liu. IR Studio: A Self-Boosting Framework For Cross-Domain Retrieval. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 22061-22073, 2025.
  9. Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang. Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. Accepted in IJCAI 2025.
  10. 乔少杰，李洲，韩楠，徐泉清，吴涛，袁冠，吴信东．人工智能赋能关系型数据库优化技术：现状与展望[J/OL]．计算机学报,Vol. 48, No. 7, July 2025.
  11. [Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Chuang Hu, Quanqing Xu, Xu Chen, Jiawei Jiang. RAP: Random Projection is What You Need for Vertical Federated Learning. Accepted in DASFAA 2025.]
  12. Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang. Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. In 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, 2025, pp. 2810-2823, doi: 10.1109/ICDE65448.2025.00211.
  13. Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin CUI. Towards Scalable and Deep Graph Neural Networks via Noise Masking. AAAI 2025: 18693-18701.
  14. Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang. HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. AAAI 2025: 22515-22523.
  15. Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang. Self-Supervised Learning for Graph Dataset Condensation. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 3289 - 3298.
  16. Sijia Li, Peng Cai, Yiqi Shen, Huiqi Hu, Rong Zhang, Xuan Zhou, Quanqing Xu, Chuanhui Yang. SPQO: Learning to Safely Reuse Cached Plans for Dynamic Workloads. DASFAA 2024, LNCS 14850, pp. 315–330, 2024.
  17. Qinbo Zhang, Xiao Yan, Yukai Ding, Quanqing Xu, Chuang Hu, Xiaokai Zhou, Jiawei Jiang. TREECSS: An Efficient Framework for Vertical Federated Learning. DASFAA 2024, LNCS 14850, pp. 425–441, 2024.
  18. Xiaokai Zhou, Xiao Yan, Xinyan Li, Hao Huang, Quanqing Xu, Qinbo Zhang,Jerome YEN, Zhaohui Cai, Jiawei Jiang. VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation. DASFAA 2024, LNCS 14850, pp. 409–424, 2024.
  19. Zhongwei Yue, Shujian Peng, Peng Cai, Xuan Zhou, Huiqi Hu, Rong Zhang, Quanqing Xu, Chuanhui Yang. Functionality-Aware Database Tuning via Multi-Task Learning. 2024 IEEE 40th International Conference on Data Engineering (ICDE), 83-95.
  20. Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang. Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. 2024 IEEE 40th International Conference on Data Engineering (ICDE), pp. 3364-3378.
  21. Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang. Learning Diffusions under Uncertainty. Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20430-20437.
  22. Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang. PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning. ICDE 2023: 394-407.
  23. Chaoyu Chen, Hang Yu, Zhichao Lei, Jianguo Li, Shaokang Ren, Tingkai Zhang, Silin Hu, Jianchao Wang, Wenhui Shi. BALANCE: Bayesian Linear Attribution for Root Cause Localization. Proc. ACM Manag. Data1(1): 95:1-95:26 (2023).
  24. Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang. FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data. Proc. ACM Manag. Data1(1): 107:1-107:28 (2023).

Security and Privacy

  1. [Siyi Wang, Qiyao Luo, Yihua Hu, Lixu Wang, Quanqing Xu, Chuanhui Yang, Zhan Qin, Kui Ren, Wei Dong. Defense against Poisoning Attacks under Shuffle-DP. Accepted by SIGMOD 2026.]
  2. Xinghe Chen, Dajun Sun, Quanqing Xu, and Wei Dong. 2025. A General Framework for Per-record DifferentialPrivacy. Proc. ACM Manag. Data 3, 6 (SIGMOD), Article 287 (December 2025), 27 pages.
  3. Qingliu Wu, Qingfeng Xiang, Yingxia Shao, Qiyao Luo, Quanqing Xu. DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs. VLDB 2025, pp. 5383 - 5386.
  4. Qingfeng Xiang, Yingxia Shao, Quanqing Xu, Chuanhui Yang. Distributed Database Diagnosis Method for Compound Anomalies. Int. J. Softw. Informatics 15(1): 115-137 (2025).
  5. Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang. Model Rake: A Defense Against Stealing Attacks in Split Learning. IJCAI 2025: 7002-7010.
  6. Dongdong Xie, Pinghui Wang, Quanqing Xu, Chuanhui Yang, and Rundong Li. 2025. Efficient and Accurate Differentially Private Cardinality Continual Releases. Proc. ACM Manag. Data 3, 3 (SIGMOD), Article 151(June 2025), 27 pages. https://doi.org/10.1145/3725288.
  7. Qiyao Luo, Quanqing Xu, Chuanhui Yang. How to Answer Secure and Private SQL Queries? In 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, 2025, pp. 4486-4491, doi: 10.1109/ICDE65448.2025.00337.
  8. Shihui Wang, Yulan Yang, Zixin Tan, Zhigao Zheng, Jiawei Jiang, Hao Huang, Quanqing Xu, Chuanhui Yang. GADACE: Graph Anomaly Detection Combining Attribute Contrast and Structure Reconstruction. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE
  9. Qiyao Luo, Jianzhe Yu, Wei Dong, Quanqing Xu, Chuanhui Yang, and Ke Yi. 2025. RM^2: Answer Counting Queries Efficiently under Shuffle Differential Privacy. Proc. ACM Manag. Data 3, 3 (SIGMOD), Article 210 (June 2025), 24 pages. https://doi.org/10.1145/3725415.
  10. Wei Dong, Qiyao Luo, Giulia Fanti, Elaine Shi, Ke Yi. Almost Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy. CCS 2024.
  11. Shengkun Zhu, Quanqing Xu, Jinshan Zeng, Sheng Wang, Yuan Sun, Zhifeng Yang, Chuanhui Yang, Zhiyong Peng. F3KM: Federated, Fair, and Fast k-means. Proceedings of the ACM on Management of Data 1 (4), 1-25 (SIGMOD 2024).
  12. 向清风, 邵蓥侠, 徐泉清, 杨传辉. 面向复合异常的分布式数据库异常诊断方法. 软件学报, 2025, 36(3): 1022–1039.

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