Tsinghua Database Group
I am Xuanhe Zhou, a fifth-year Ph.D. student in Computer Science of Tsinghua. My research interest lies in autonomous database systems, i.e., automating and optimizing the logical/physical designs of database systems so as to better serve AI/DB users. I have published 8 full-length papers as the first author or first student author in top-tier database conferences and journals, with over 600 citations on Google Scholar. I have made major contributions in open projects (e.g., openGauss-dbmind, FEBench, DB-GPT, BMTools). My research works have been applied in 10+ scenarios. And the awards include VLDB Best Industry Paper Runner-up (as the first author), Tsinghua Outstanding Scholarship, Microsoft Research Asia Fellowship, ByteDance Scholarship, Zhong Shimou Scholarship, National Scholarship.
周煊赫，清华计算机系五年级博士生，研究方向为自治数据库系统，即自动化数据库系统的逻辑和物理设计，更好的服务AI和数据库用户。以第一和学生第一作者身份在顶级（CCF-A）国际会议、期刊发表 8 篇长文，谷歌学术引用量600 余次。主导和参与了openGauss-dbmind、FEBench、DB-GPT、BMTools等多个项目开源。研究成果在移动、工行、邮储银行（核心交易业务）等10 余个场景得到部署和落地。曾获VLDB 最佳工业论文Runnerup（第一作者）、清华特等奖学金、微软学者、字节跳动奖学金、钟士模奖学金、研究生国家奖学金。
The relevant research problems include but are not limited to :
(1) Self-optimization (e.g., query rewrite);
(2) Self-configuration (e.g., knob/index/partition management);
(3) Self-diagnosis (e.g., root cause analysis);
(4) AI Acceleration Techniques. I also explore interesting AI techniques that can benefit above aspects (e.g., real-time feature store, tool usage with foundation models).
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.,
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.
A 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.
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."
"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), teaching assistant
Online tutorials on building a basic relational database are available!!
Last modified 1d ago