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

My research interests lie generally in the area of AI & DB, including database query optimization, DB testing and index tuning.

News

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

PAPERS

AI & DB

• Wenhao Liu, Xiu Tang, Sai Wu, Chang Yao, Gongsheng Yuan, Gang Chen.
  A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code.
  International Conference on Very Large Data Bases (VLDB), 2025.

• Xiu Tang, Wenhao Liu, Sai Wu, Chang Yao, Gongsheng Yuan, Shanshan Ying, Gang Chen.
  QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes.
  International Conference on Very Large Data Bases (VLDB), 2025.

• 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.

• 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.

• Zhihao Chang, Ding Wang, Xiu Tang, Kingsum Chow and Jianwei Yin.
  General Neural Embedding for Sequence Distance Approximation.
  THE 48th international ACM SIGIR conference on research and development in information retrieval (SIGIR), 2025.

• Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li.
  CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation.
  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

• 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.

Multimodal Learning & NLP

• Han Lin, Xiu Tang, Huan Li, Wenxue Cao, Sai Wu, Chang Yao, Lidan Shou, Gang Chen.
  T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning.
  The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025.

• Yueying Feng, Wang Lin, Wang_Lin, Qingsong Wang, Yangtao Zhou, Xiu Tang, Sai Wu, Chang Yao, Jingyuan Chen.
  PELICAN: Personalized Education via LLM-powered Cognitive Diagnosis and Adaptive Tutoring.
  The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Main), 2025.

• Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao, Xiu Tang, Sai Wu, Chang Yao, Zhipeng Gao, Jingyuan Chen.
  Less is More: Adaptive Program Repair with Bug Localization and Preference Learning.
  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

• 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.

• 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

Wenhao Liu, PhD, started in 2023
Xu Gao, PhD, started in 2023
Kunyi Li, PhD, started in 2023
Xuhang Zhu, PhD, started in 2024
Kedi Wang, PhD, started in 2024

Han Lin, Master, started in 2023, Alibaba.
Yuanrong Wu, Master, started in 2023, Alibaba.
Xingjian Huang, Master, started in 2023, Tencent.
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

Shijie Yang, Master, graduated in 2025, Tencent.

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):

IEEE’s Transactions on Computers (IEEE TC) 2025
Transactions on Knowledge and Data Engineering (TKDE) 2024
The Conference on Information and Knowledge Management (CIKM) 2024, 2025
ACM Multimedia 2025 (MM’25)
11th DBTest@SIGMOD 2024 (DBTest’24)
Knowledge and Information Systems (KAIS) 2025