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Advisor: Prof. Guoliang Li

Tsinghua Database Group

Email: zhouxuan19@mails.tsinghua.edu.cn

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Brief Biography

I am Xuanhe Zhou, a Ph.D. candidate in CS of Tsinghua, mentored by Prof. Guoliang Li. My research interest lies in self-driving databases, i.e., automating and optimizing the logical/physical designs of databases so as to better serve AI/DB users. I have published papers in SIGMOD/VLDB/ICDE/TKDE with over 1000 citations.

The relevant research problems include but are not limited to: (1) Database Optimization (e.g., query rewrite with relational algebra); (2) Database Diagnosis (e.g., root cause analysis); (3) AI-relevant Techniques (e.g., real-time feature computation).

Open Projects (Under Maintenance)

👉 D-Bot: LLM-Based Database Diagnosis System (modelBest & tsinghua)

An LLM-based database administrator that can acquire database maintenance experience from textual sources, and provide reasonable, well-founded, in-time optimization advice for databases.

👉 FEBench: A Real-Time Feature Extraction Benchmark (4paradigm & tsinghua & nus)

A benchmark specifically designed for real-time feature extraction (RTFE) within the domain of online AI inference services (for applications like finance, retail, manufacturing, energy, media).

👉 DBMind: A Self-Driving Database Management Platform (openGauss & tsinghua)

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.

Peer-reviewed Papers

🟡 self monitoring 🟢 self optimization 🔴 self configuration 🔵 data structure data framework 🟤 data others 🖐🏻 AI techniques

(*indicates equal contribution)

2024

(SIGMOD) Robustness of Updatable Learning-based Index Advisors. [code] 🔴

Yihang Zheng, Chen Lin, Xian Lyu, Xuanhe Zhou, Guoliang Li, Tianqing Wang.

(VLDB) D-Bot: Database Diagnosis System using Large Language Models. [paper] [code] 🟢 BenchCouncil Top 100 Open Achievements

, Guoliang Li, , Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng.

(VLDB) Breaking It Down: An In-depth Study of Index Advisors [EA&B]. [code] [pypi] 🔴 Direct Accept with Shepherding

Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li.

(ICDE) TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation. [to appear] 🔴

Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li.

2023

(SIGMOD) Grep: A Graph Learning Based Database Partitioning System. [paper] [code] 🔴

, Guoliang Li, Wei Guo, Luyang Liu.

(VLDB Industry) FEBench: A Benchmark for Real-Time Relational Data Feature Extraction. [paper] [code] 🖐🏻 Best Industry Paper Runnerup Award

*, Cheng Chen*, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqqiang Chen.

(VLDB Demo) A Learned Query Rewrite System. [demo] 🟢

, Guoliang Li, Jianming Wu, Jiesi Liu, Zhaoyan Sun, Xinning Zhang.

(VLDB) Learned Index: A Comprehensive Experimental Evaluation. [paper] [code] 🔵

Zhaoyan Sun, , Guoliang Li.

(ICDE) DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads. [paper] [code] 🟡

Yuanning Gao, Xiuqi Huang, , Xiaofeng Gao, Guoliang Li.

(NeurIPS) Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. [paper] [code] 🖐🏻 Spotlight

Led by Damo Academy (Binyuan Hui, Yongbin Li, et al) and University of Hong Kong (Jinyang Li)

(TKDE) Automatic Database Knob Tuning: A Survey. [paper] [code] 🔴

Xinyang Zhao*, *, Guoliang Li.

(DSE) DB-GPT: Large Language Model Meets Database. [paper] [code] 🟢 🔴

, Zhaoyan Sun, Guoliang Li.

2022

(SIGMOD) LearnedSQLGen: Constraint-Aware SQL Generation using Reinforcement Learning. [paper] [code] 🟤

Lixi Zhang, Chengliang Chai, , Guoliang Li.

(VLDB) A Learned Query Rewrite System using Monte Carlo Tree Search. [paper] [code] 🟢

, Guoliang Li, Chengliang Chai, Jianhua Feng.

(ICDE) AutoIndex: An Incremental Index Management System for Dynamic Workloads. [paper] [code] 🔴

, Luyang Liu, Wenbo Li, Lianyuan Jin, Tianqing Wang, Shifu Li.

(ICDE) Adaptive Code Learning for Spark Configuration Tuning. [paper] [code] 🔴

Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, , Guoliang Li.

(ICDE Tutorial) Machine Learning for Data Management: A System View. [paper] [slide]

Guoliang Li, .

2021

(VLDB Industry) openGauss: An Autonomous Database System. [paper] [code]

Guoliang Li, (first student author), Ji Sun, Xiang Yu, Yue Han, Lianyuan Jin, Wenbo Li, Tianqing Wang, Shifu Li. over 1.5k stars

(VLDB Demo) DBMind: A Self-Driving Platform in openGauss. [paper] [code]

, Lianyuan Jin, Ji Sun, Xinyang Zhao, Xiang Yu, Shifu Li, Tianqing Wang, et al.

(SIGMOD Tutorial) AI Meets Database: AI4DB and DB4AI. [paper] [slide]

Guoliang Li, , Lei Cao, Chengliang Chai.

(VLDB Tutorial) Machine Learning for Databases. [paper]

Guoliang Li, , Lei Cao.

(Journal of Software) Survey of Data Management Techniques for Supporting Artificial Intelligence. [paper] 🖐🏻

Guoliang Li, .

2020

(VLDB) Query Performance Prediction for Concurrent Queries using Graph Embedding. [code] [paper] 🟡

, Ji Sun, Guoliang Li, Jianhua Feng.

(TKDE) Database meets artificial intelligence: A survey. [paper]

, Chengliang Chai, Guoliang Li, Ji Sun.

(Chinese Journal of Computers) Overview of database technology based on machine learning. [paper]

Guoliang, Li, , Sun Ji, Yu Xiang, Yuan Haitao, Liu Jiabin, and Han Yue.

2019

(VLDB) QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning. [paper] 🔴

Guoliang Li, , Shifu Li, Bo Gao.

(Data Eng.) Xuanyuan: An AI-Native Database. [paper]

Guoliang Li, , Sihao Li.

(Journal of Computer) A Survey of Machine-Learning-based Database Techniques. [paper]

Guoliang Li, , Ji Sun, Xiang Yu, Haitao Yuan, Jiabin Li, Yue Han.

Honors and Awards

2023 - Top 100 Open Source Achievements by Benchcouncil

2023 - VLDB Best Industry Paper RunnerUp Award (first author)

2022 - Outstanding Scholarship of Tsinghua University (清华特奖)

2022 - ByteDance Fellowship (10 Ph.D students)

2022 - MSRA Fellowship (12 Asian Ph.D students)

2021 - Zhongshimo Fellowship (钟士模奖学金)

2021 - Apple Scholars in AI/ML Nomination

2023, 2017 - National Scholarship

Activities

2021.10 - Tutorial of ML for Databases, AIMLSystems Conference. [website]

2021.08 - Invited Talk, The LADSIOS Workshop, VLDB Conference. [website]

2021.06 - SIGMOD Onsite Volunteer. [website]

Services

PC Member - DBML'23 (ICDE workshop), AIDB'23 (VLDB workshop);

Journal Reviewer - VLDB Journal, JCST

Open Datasets

https://github.com/TsinghuaDatabaseGroup/datasets

Teaching Assistant

2019-2022 Database Systems (THU/30240262)

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/

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