Xuanhe Zhou (周煊赫)

[Google Scholar] [Github]

Tenure-Track Assistant Professor

Dep. of Computer Science, Shanghai Jiao Tong University (SJTU / Jiaotong)

Email: zhouxh@cs.sjtu.edu.cn

I got my Ph.D. degree from CS of Tsinghua, advised by Prof. Guoliang Li.

My research interest lies in intelligent database system and data-centric AI.

We have published over 30 papers in top-tier data management conferences and journals, with over one thousand of citations in Google Scholar and one best paper award (e.g., VLDB CCF-A).

We have been maintaining a most-starred repository of AI✖️DB paper list [link] at Github.

I am the AI SIG member of openGauss community [link].

I am actively seeking for strong and self-motivated 1-2 PhD students (Spring/Fall 2026), master students, and undergrad interns interested in building intelligent database systems or data4llm.

News

August 20, 2024 | OpenAI adopts BIRD-SQL to show their finetuning service [news] 🎉

August, 2024 | I will join SJTU, Dep. of Computer Science, as Tenure-Track Assistant Professor 🎉

July 24, 2024 | Our D-Bot project is Now Sponsored by Azure AI 🎉

June 9, 2024 I My Two Papers (VLDB, ICDE) are selected into 2024 Highly-Cited List (2019-2023) 🎉

July 24, 2023 | Our FEBench paper is awarded the [website] 🎉

October 20, 2022 | 2022 Microsoft Research Asia Fellow [news] 🎉

Representative Projects

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

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

👉 OpenMLDB: A Real-Time Feature Management System (4paradigm & tsinghua & nus)

An open-source machine learning system that computes consistent features for training and inference.

👉 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 Publications

(*indicates equal contribution)

2024

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

2023

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.

(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)

Xinyang Zhao*, Xuanhe Zhou*, Guoliang Li.

Xuanhe Zhou*, Zhaoyan Sun*, Guoliang Li.

2022

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.

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

Guoliang Li, Xuanhe Zhou.

2021

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.

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

Guoliang Li, Xuanhe Zhou, Lei Cao, Chengliang Chai.

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

Guoliang Li, Xuanhe Zhou, Lei Cao.

Guoliang Li, Xuanhe Zhou.

2020

Xuanhe Zhou, Ji Sun, Guoliang Li, Jianhua Feng.

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

Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun.

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

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

2019

Guoliang Li, Xuanhe Zhou, Shifu Li, Bo Gao.

Guoliang Li, Xuanhe Zhou, Sihao Li.

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

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

Honors and Awards

2024 - Distinguished Doctoral Dissertation Award of Tsinghua (清华优秀博士学位论文)

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

2023 - Top 100 Open Source Achievements by Benchcouncil

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 - ICDE 2025, DBML'23 (ICDE workshop), AIDB'23 (VLDB workshop);

Journal Reviewer - TKDE, VLDB Journal, ACM CSUR

Datasets

https://github.com/TsinghuaDatabaseGroup/datasets (Public archive)

Teaching

2019-2022 Database Systems (THU/30240262), teaching assistant

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