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Tsinghua Database Group
Email: [email protected]
I am Xuanhe Zhou (周煊赫 in Chinese). My research interest is in autonomous database systems, i.e., automating and optimizing the logical/physical designs of database systems so as to benefit AI/DB users. The detailed research problems include but are not limited to : (1) Self-monitoring (e.g., trend forecasting, performance prediction); (2) Self-optimization (e.g., query rewrite); (3) Self-configuration (e.g., knob/index/partition management) and (4) autonomous database system frameworks. Besides, any db-oriented AI techniques are kept in mind.
A corpus of training data for database tasks!
One of our current targets is to open-source a series of practical, out-of-the-box tools (outside/inside database kernels) for both AI and DB users with my excellent collaborators, e.g.,
self-monitoring
self-optimization
self-tuning
autonomous system
AI4DB tutorial
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(SIGMOD'23) Xuanhe Zhou, Guoliang Li, Wei Guo, Luyang Liu. Grep: A Graph Learning Based Database Partitioning System.
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(VLDB'23) Zhaoyan Sun, Xuanhe Zhou, Guoliang Li. Learned Index: A Comprehensive Experimental Evaluation. [code]
(VLDB'20) Xuanhe Zhou, Ji Sun, Guoliang Li, Jianhua Feng. Query Performance Prediction for Concurrent Queries using Graph Embedding. VLDB'20. [paper]
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(VLDB'19) Guoliang Li, Xuanhe Zhou, Shifu Li, Bo Gao, QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning. VLDB'19. [paper]
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1. Guoliang Li, Xuanhe Zhou. Survey of Data Management Techniques for Supporting Artificial Intelligence. Journal of Software (Chinese). [paper]
1. Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun. Database meets artificial intelligence: A survey. TKDE. [paper]
2. Guoliang, Li, Xuanhe Zhou, Sun Ji, Yu Xiang, Yuan Haitao, Liu Jiabin, and Han Yue. Overview of database technology based on machine learning. Chinese Journal of Computers 43, no. 11, 2020. [paper]
1. Guoliang Li, Xuanhe Zhou, Sihao Li. Xuanyuan: An AI-Native Database. IEEE Data Eng., 2019. [paper]
2. Guoliang Li, Xuanhe Zhou, Ji Sun, Xiang Yu, Haitao Yuan, Jiabin Li, Yue Han. A Survey of Machine-Learning-based Database Techniques. Journal of Computer (Chinese). [paper]
PC Member - DBML'23; Journal Reviewer - VLDB Journal, JCST
Onsite Volunteer - SIGMOD'21
2022 - 清华大学特等奖学金 (Highest Honor in Tsinghua)
2021 - 钟士模奖学金 (Highest Honor in Tsinghua CS)
2021 - National Scholarship
2021 - 84 Future Innovation Scholarship, Tsinghua
2021 - Baidu Scholarship Top 40
2021 - Apple Scholars in AI/ML Nomination
2020 - Huawei Scholarship
2020 - 84 Future Innovation Scholarship, Tsinghua
2017 - National Scholarship
2019-2022 Database Systems (THU/30240262), teaching assistant
Our online tutorials on building a basic relational database are available!!
Last modified 6d ago