Tsinghua Database Group
I am Xuanhe Zhou, a Ph.D. candidate in CS of Tsinghua, mentored by Prof. Guoliang Li. My research interest lies in autonomous databases, i.e., automating and optimizing the logical/physical designs of databases so as to better serve AI/DB users. I have published 10+ papers in SIGMOD/VLDB/ICDE conferences and 2 surveys in TKDE (700+ citations in total). I have led several open projects, e.g., openGauss-dbmind, febench, dbgpt (d-bot). My works have been applied in enterprises like 4Paradigm and Intel. Honors include VLDB Best Industry Paper Runner-up (first author), Microsoft Scholar, Tsinghua Outstanding Scholarship, etc.
周煊赫，清华大学计算机系博士，师从李国良教授，专攻自治数据库系统，即自动化数据库系统的逻辑和物理设计。发表顶级数据库论文10余篇，引用700余次。主导多个开源项目，如 openGauss-dbmind、febench、dbgpt (d-bot) 。 成果在邮储、工行、第四范式、英特尔等重要企业应用。曾获 VLDB最佳工业论文提名、微软学者、清华特奖等荣誉。
The relevant research problems include but are not limited to :
(1) Database Optimization (e.g., query rewrite);
(2) Database Configuration (e.g., parameter/index/partition);
(3) System Diagnosis (e.g., root cause analysis);
(4) AI-relevant Techniques. I also explore interesting AI techniques that can benefit above aspects (e.g., online feature store, tool4LLM, multi-LLM).
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.,
An LLM-based database administrator that can acquire database maintenance experience from textual sources, and provide reasonable, well-founded, in-time diagnosis advice for databases.
A novel benchmark specifically designed for real-time feature extraction (RTFE) within the domain of online AI inference services. These services are rapidly being deployed in diverse applications, including finance, retail, manufacturing, energy, media, and etc.
Full-process autonomous database operation and maintenance capabilities, e.g., slow SQL root cause analysis, workload index recommendation, multi-metric correlation mining, fault self-repair, anomaly detection and root cause analysis, and etc.
data structure design
data generation 🖐🏻 AI techniques
(*indicates equal contribution)
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. over 1.5k stars
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.
Journal Reviewer - VLDB Journal, JCST
"A best paper award committee comprising of 7 members from the program committee selected one paper for the best paper award, and two runner ups based on quality and impact."
2023 - National Scholarship
"The Outstanding Scholarship of Tsinghua University is the highest honor for students at Tsinghua University. Each year, 10 graduate students are selected as recipients of this award."
“This program initiated by ByteDance aims to support over 10 innovative and tech-savvy talents, encouraging students to contribute to society and lead the future through technology.”
“This year, 164 distinguished Ph.D. candidates from 47 leading research universities or institutions had applied for fellowships. ... and only 12 extremely outstanding students have been awarded fellowships.”
"Highest Honor in the Department of Computer Science and Technology of Tsinghua"
2021 - National Scholarship
2021 - 84 Future Innovation Scholarship, Tsinghua
2021 - Baidu Scholarship Top 40
2021 - Apple Scholars in AI/ML Nomination
2020 - 84 Future Innovation Scholarship, Tsinghua
2017 - National Scholarship
A collection of open-source datasets (under construction)!
2019-2022 Database Systems (THU/30240262)
Online tutorials on building a basic relational database are available!!
Last modified 17d ago