Xuanhe Zhou (周煊赫)
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Tenure-Track Assistant Professor, at Dept. of Computer Science, .
Faculty of (for selected 1st-year undergraduate students).
Committed to building data infrastructures (e.g., real-time data computation, adaptive data profiling) in the AI era, and empowering intelligent applications (e.g., foundation agents) and underlying data systems (e.g., query optimization, query migration, system maintenance).
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I got my Ph.D. degree from CS of Tsinghua, advised by Prof. Guoliang Li.
We have published papers in top-tier data management and AI conferences and journals, with 2000+ citations in Google Scholar and one best paper award (e.g., VLDB CCF-A).
We have been maintaining some highly-starred paper lists at Github (LLM✖️Data [], AI✖️Data []).
Contact Email: zhouxh@cs.sjtu.edu.cn ; fwu@cs.sjtu.edu.cn (Prof. )
Build the data foundation in the AGI era together 🌤
April 20, 2025 | (an honor in memory of , the Turing Award winner known for his key contributions in data management and processing)
Nov 25, 2024 | for "An Open-Source Database for Large-Scale Enterprise Applications" (Led by Prof. Li) 🎉
Nov 4, 2024 | BMTools () is accepted by CSUR 🌤
An open-source machine learning system that computes consistent features for training and inference.
An LLM-based administrator that can acquire maintenance experience from textual sources, and provide reasonable, well-founded, in-time optimization advice for cloud instances.
Full-process autonomous database operation and maintenance capabilities, e.g., anomaly detection, root cause analysis, slow SQL optimization, index recommendation, fault self-repair, and etc.
Wei Zhou (PhD)
Zirui Tang (PhD)
Haodong Chen (PhD, w/ Fan Wu)
Changdong Liu (Postdoc, w/ Fan Wu)
Shaokun Han (M.S.)
Haoyu Zhao (M.S.)
Jun Zhou (M.S.)
(*indicates equal contribution; ^indicates corresponding author)
Xuanhe Zhou, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, ^Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen.
Wei Zhou, Yuyang Gao, ^Xuanhe Zhou, ^Guoliang Li.
(SIGMOD Demo) D-Bot: An LLM-Powered DBA Copilot.
Zhaoyan Sun, Xuanhe Zhou, Jianming Wu, Wei Zhou, ^Guoliang Li
Yang Wu, Xuanhe Zhou, Xiaoguang Li, Feifei Li, Yong Zhang.
Yihang Zheng, Chen Lin, Xian Lyu, Xuanhe Zhou, Guoliang Li, Tianqing Wang.
Xuanhe Zhou, Guoliang Li, Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng.
Wei Zhou*, Chen Lin*, Xuanhe Zhou*, Guoliang Li.
Xinyang Zhao, Xuanhe Zhou, Guoliang Li.
Guoliang Li, Xuanhe Zhou, Xinyang Zhao.
Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li.
Yang Wu*, Xuanhe Zhou*, Yong Zhang, Guoliang Li
Xuanhe Zhou, Guoliang Li, Wei Guo, Luyang Liu.
Xuanhe Zhou*, Cheng Chen*, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqqiang Chen.
Xuanhe Zhou, Guoliang Li, Jianming Wu, Jiesi Liu, Zhaoyan Sun, Xinning Zhang.
Zhaoyan Sun, Xuanhe Zhou, Guoliang Li.
Yuanning Gao, Xiuqi Huang, Xuanhe Zhou, Xiaofeng Gao, Guoliang Li.
Led by Damo Academy (Binyuan Hui, Yongbin Li, et al) and University of Hong Kong (Jinyang Li)
Xinyang Zhao*, Xuanhe Zhou*, Guoliang Li.
Xuanhe Zhou*, Zhaoyan Sun*, Guoliang Li.
Lixi Zhang, Chengliang Chai, Xuanhe Zhou, Guoliang Li.
Xuanhe Zhou, Guoliang Li, Chengliang Chai, Jianhua Feng.
Xuanhe Zhou, Luyang Liu, Wenbo Li, Lianyuan Jin, Tianqing Wang, Shifu Li.
Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, Guoliang Li.
Guoliang Li, Xuanhe Zhou.
Guoliang Li, Xuanhe Zhou (first student author), Ji Sun, Xiang Yu, Yue Han, Lianyuan Jin, Wenbo Li, Tianqing Wang, Shifu Li.
Xuanhe Zhou, Lianyuan Jin, Ji Sun, Xinyang Zhao, Xiang Yu, Shifu Li, Tianqing Wang, et al.
Guoliang Li, Xuanhe Zhou, Lei Cao, Chengliang Chai.
Guoliang Li, Xuanhe Zhou, Lei Cao.
Guoliang Li, Xuanhe Zhou.
Xuanhe Zhou, Ji Sun, Guoliang Li, Jianhua Feng.
Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun.
Guoliang, Li, Xuanhe Zhou, Sun Ji, Yu Xiang, Yuan Haitao, Liu Jiabin, and Han Yue.
Guoliang Li, Xuanhe Zhou, Shifu Li, Bo Gao.
Guoliang Li, Xuanhe Zhou, Sihao Li.
Guoliang Li, Xuanhe Zhou, Ji Sun, Xiang Yu, Haitao Yuan, Jiabin Li, Yue Han.
2024 - Tsinghua Doctoral Dissertation Award (清华优博)
2021 - Apple Scholars in AI/ML Nomination
2023, 2017 - National Scholarship
Journals - TKDE, VLDB Journal, ACM CSUR, Transactions on Computers
2019-2022 Database Systems (THU/30240262), teaching assistant
August 20, 2024 | OpenAI adopts to show their finetuning service [] 🎉
July 24, 2024 | Our project is Now Sponsored by Azure AI 🎉
June 9, 2024 I My Two Papers (, ) are selected into 2024 Highly-Cited List (2019-2023) 🌤
July 24, 2023 | Our paper is awarded the [] 🌤
October 20, 2022 | 2022 Microsoft Research Asia Fellow [] 🎉
👉 ()
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👉 ()
[] [demo, SIGMOD 2025]
👉 (with openGauss)
self prediction self optimization self configuration data structure data framework others
(SIGMOD) OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML. [] [] Over 1.6k stars
(SIGMOD) Cracking SQL Barriers: An LLM-based Dialect Translation System. [] []
(ICDE) MemQ: A Graph-Based Query Memory Prediction Framework for Effective Workload Scheduling. []
(SIGMOD) Robustness of Updatable Learning-based Index Advisors. [] []
(VLDB) D-Bot: Database Diagnosis System using Large Language Models. [] [] BenchCouncil Top 100 Open Achievements
(VLDB) Breaking It Down: An In-depth Study of Index Advisors [EA&B]. [] [] Direct Accept with Shepherding
(VLDB Demo) Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs. [] []
(VLDB Tutorial) LLM for Data Management. [] []
(ICDE) TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation. [] []
(TKDE) Automatic Index Tuning: A Survey. []
(CSUR) Tool Learning with Foundation Models. [] [] 2.9k stars
(SIGMOD) Grep: A Graph Learning Based Database Partitioning System. [] []
(VLDB Industry) FEBench: A Benchmark for Real-Time Relational Data Feature Extraction. [] []
(VLDB Demo) A Learned Query Rewrite System. []
(VLDB) Learned Index: A Comprehensive Experimental Evaluation. [] []
(ICDE) DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads. [] []
(NeurIPS) Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. [] [] 🖐🏻 Spotlight
(TKDE) Automatic Database Knob Tuning: A Survey. [] []
(DSE) DB-GPT: Large Language Model Meets Database. [] []
(SIGMOD) LearnedSQLGen: Constraint-Aware SQL Generation using Reinforcement Learning. [] []
(VLDB) A Learned Query Rewrite System using Monte Carlo Tree Search. [] []
(ICDE) AutoIndex: An Incremental Index Management System for Dynamic Workloads. [] []
(ICDE) Adaptive Code Learning for Spark Configuration Tuning. [] []
(ICDE Tutorial) Machine Learning for Data Management: A System View. [] []
(VLDB Industry) openGauss: An Autonomous Database System. [] [] Over 2.7k stars
(VLDB Demo) DBMind: A Self-Driving Platform in openGauss. [] []
(SIGMOD Tutorial) AI Meets Database: AI4DB and DB4AI. [] []
(VLDB Tutorial) Machine Learning for Databases. []
(Journal of Software) Survey of Data Management Techniques for Supporting Artificial Intelligence. []
(VLDB) Query Performance Prediction for Concurrent Queries using Graph Embedding. [] []
(TKDE) Database meets artificial intelligence: A survey. []
(Chinese Journal of Computers) Overview of database technology based on machine learning. []
(VLDB) QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning. []
(Data Eng.) Xuanyuan: An AI-Native Database. []
(Journal of Computer) A Survey of Machine-Learning-based Database Techniques. []
2025 - (fisrt winner in China)
2024 - (CCF 优博, 10 recipients in China)
2023 - (first author)
2023 - by Benchcouncil
2022 - (清华特奖)
2022 - (10 recipients in China)
2022 - (12 recipients in the Asia-Pacific region)
2021 - (钟士模奖学金)
2021.10 - Tutorial of ML for Databases, AIMLSystems Conference. []
2021.08 - Invited Talk, The LADSIOS Workshop, VLDB Conference. []
2021.06 - SIGMOD Onsite Volunteer. []
Conferences - ICDE 2025 (session chair), (ICDE workshop), (VLDB workshop);
(Public archive)
Online Tutorial for Basic functions:
Online Tutorial for Advanced functions:
