Assistant Professor
School of Software, Zhejiang University, China
Email: tangxiu@zju.edu.cn / Google Scholar

My research interests lie generally in the area of Database Query Optimization, including AI & DB, DB testing and index tuning.

News

I am currently looking for PhD students to work on AI & DB and DB testing. Please email me your CV if you are interested.

PAPERS

• Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang.
  Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases.
  IEEE International Conference on Data Engineering (ICDE), 2024.

• Xiu Tang, Sai Wu, Dongxiang Zhang, Ziyue Wang, Gongsheng Yuan, Gang Chen.
  A Demonstration of DLBD: Database Logic Bug Detection System.
  International Conference on Very Large Data Bases (VLDB), 2023. (source code)

• Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, Gang Chen.
  Detecting Logic Bugs of Join Optimizations in DBMS.
  The ACM Special Interest Group on Management of Data (SIGMOD), 2023. Best Paper Award

• Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen.
  PreQR: Pre-training Representation for SQL Understanding.
  The ACM Special Interest Group on Management of Data (SIGMOD), 2022.

• Xiu Tang, Sai Wu, Gang Chen, Jinyang Gao, Wei Cao, Zhifei Pang.
  A Learning to Tune Framework for LSH.
  International Conference on Data Engineering (ICDE), 2021.

• Zhen Zhu, Yibo Wang, Shouqing Yang, Lin Long, Runze Wu, Xiu Tang, Junbo Zhao, Haobo Wang.
  CORAL: Collaborative Automatic Labeling System based on Large Language Models.
  International Conference on Very Large Data Bases (VLDB), 2024.

• Lilong Wen, Xiu Tang, Dongxiang Zhang.
  TWIST: Text-only Weakly Supervised Scene Text Spotting Using Pseudo Labels.
  International Conference on Multimedia Retrieval (ICMR), 2024.

• Xiu Tang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou.
  Learning to Label with Active Learning and Reinforcement Learning.
  Database Systems for Advanced Applications (DASFAA), 2021.

• Haitian Hang, Xiu Tang, Bo Zhu, Jianlin Sun.
  Unlocking the Power of Diversity in Index Tuning for Cluster Databases.
  International Conference on Database and Expert Systems Applications (DEXA), 2024.

• Xiu Tang, Yangchao Xu, Xuefeng Lu, Qiang He, Jun Fang, Junjie Chen.
  DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data.
  Advanced Data Mining and Applications (ADMA), 2022.

• Ce Xu, Xiu Tang, Peng Lu.
  Using the Strongest Adversarial Example to Alleviate Robust Overfitting.
  Advanced Data Mining and Applications (ADMA), 2022.

STUDENTS

Xu Gao, PhD, started in 2023
Xuhang Zhu, PhD, started in 2024
Shijie Yang, Master, started in 2022, ByteDance.
Han Lin, Master, started in 2023
Yuanrong Wu, Master, started in 2023
Wenhao Liu, Master, started in 2023
Xingjian Huang, Master, started in 2023
Mengfei Cai, Master, started in 2023
Jichen Li, Master, started in 2024
Wenxue Cao, Master, started in 2024
Jianhao Shao, Master, started in 2024
Peiqi Luo, Master, started in 2024

EDUCATION

• PhD in Computer Science and Technology. Zhejiang University, Hangzhou, China (Mar. 2023)
  Advisor: Prof. Sai Wu

INTERNSHIP

• Research Intern of Alibaba PolarDB Optimizer and SQL Group, Hangzhou, China (Apr. 2020 - Apr. 2023)
  Advisor: Jimmy Yang, Shanshan Ying

Program Committee Member (Reviewer):

Transactions on Knowledge and Data Engineering (TKDE) 2024
The Conference on Information and Knowledge Management (CIKM) 2024
11th DBTest@SIGMOD 2024 (DBTest’24)