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Advisor: Prof. Guoliang Li​
Tsinghua Database Group
Email: [email protected] 
[Google Scholar] [Github] [Related Works]
Biography
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.
Datasets
A corpus of training data for database tasks!
Projects
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.,
👉 LearnedRewrite (optimize your SQL with SQL+Schema only) [code]
👉 AutoIndex (incrementally manage your index set) [code]
👉 QTune (query-aware database tuning) [survey code]
👉 DBMIND (a general database optimization platform, Monitor Dashboard) [code]
🖐🏻 FEBench (a real-time feature extraction benchmark for AI applications) [code]
PUBLICATIONS
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 self-monitoring   
 self-optimization   
 self-tuning   
 autonomous system   
 AI4DB tutorial 
Conference Papers
2023
(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]
(ICDE'23) Yuanning Gao, Xiuqi Huang, Xuanhe Zhou, Xiaofeng Gao, Guoliang Li. DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads. [paper] [code] 
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2022
(SIGMOD'22) Lixi Zhang, Chengliang Chai, Xuanhe Zhou, Guoliang Li. LearnedSQLGen: Constraint-Aware SQL Generation using Reinforcement Learning.  [paper] [code]  
(VLDB'22) Xuanhe Zhou, Guoliang Li, Chengliang Chai, Jianhua Feng. A Learned Query Rewrite System using Monte Carlo Tree Search.  [paper] [website]  
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(ICDE'22) Guoliang Li, Xuanhe Zhou. Machine Learning for Data Management: A System View. (Tutorial Track). [paper] [slide]  
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(ICDE'22) Xuanhe Zhou, Luyang Liu, Wenbo Li, Lianyuan Jin, Tianqing Wang, Shifu Li. AutoIndex: An Incremental Index Management System for Dynamic Workloads. (advised by Guoliang Li). [paper] [code]  
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(ICDE'22) Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, Guoliang Li. Adaptive Code Learning for Spark Configuration Tuning. [paper] [code]  
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2021
(SIGMOD'21) Guoliang Li, Xuanhe Zhou, Lei Cao, Chengliang Chai. AI Meets Database: AI4DB and DB4AI. (Tutorial Track). [paper] [slide]  
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(VLDB'21) Guoliang Li, Xuanhe Zhou, Ji Sun, Xiang Yu, Yue Han, Lianyuan Jin, Wenbo Li, Tianqing Wang, Shifu Li. openGauss: An Autonomous Database System. [paper] [code]  over 1.5k stars  
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(VLDB'21) Guoliang Li, Xuanhe Zhou, Lei Cao. Machine Learning for Databases. (Tutorial Track). [paper] [website]    
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(VLDB'21) Xuanhe Zhou, Lianyuan Jin, Ji Sun, Xinyang Zhao, Xiang Yu, Shifu Li, Tianqing Wang, et al. DBMind: A Self-Driving Platform in openGauss. (Demo Track). [paper] [website]   
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2020
(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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2019
(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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Journal Papers
2021
1. Guoliang Li, Xuanhe Zhou. Survey of Data Management Techniques for Supporting Artificial Intelligence. Journal of Software (Chinese). [paper]
2020
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]
2019
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]
Activities
2021.10 - Tutorial of ML for Databases, AIMLSystems Conference. [website]
2021.8 - Invited Talk, The LADSIOS Workshop, VLDB Conference. [website]
2021.6 - SIGMOD Onsite Volunteer. [website]
Services
PC Member - DBML'23; Journal Reviewer - VLDB Journal, JCST
Onsite Volunteer - SIGMOD'21
Awards
2022 - 清华大学特等奖学金 (Highest Honor in Tsinghua)
2022 - ByteDance Fellowship (Top 10 in China)
2022 - MSRA Fellowship (Top 12 in Asia)
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
Teaching
2019-2022 Database Systems (THU/30240262), teaching assistant 
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 Our online tutorials on building a basic relational database are available!! 
     Basic functions:  https://thu-db.github.io/dbs-tutorial/ 
    Advanced functions (by wenbo, haowen): https://thu-db.github.io/dbtrain-tutorial/ 
Next - Practice
Knob Tuning (for ZZNode)
Last modified 6d ago