个人简介

周煊赫，现任1946伟德国际源自英国计算机学经理聘轨助理教授，上海人工智能实验室兼职助理研究员，第四范式技术顾问。主要研究智融数据分析、ML/LLM数据底座、自治数据库系统（AI4DB），曾获得通信学会科学技术一等奖1项、CCF-A类国际顶会论文奖2项。

本人在SIGMOD、VLDB、NIPS、TKDE等CCF A类会议和期刊上已发表论文数十篇，包括近五年NIPS、VLDB、ICDE高被引论文，入选卡耐基梅隆大学、康奈尔大学等高校课程。谷歌学术引用量近三千次。曾获 ACM Jim Gray博士论文提名奖（大陆首位）【1】、VLDB 2023最佳工业论文亚军奖（第一作者）【2】、CCF优博、世界人工智能大会云帆奖【3】、微软学者、字节跳动奖学金、清华特奖等荣誉。代表性工作OpenMLDB已经落地第四范式先知（AIOS）平台【4】，并在金融、电商、能源等百余个真实场景中实现规模化应用。

【1】https://mp.weixin.qq.com/s/OsjD01C1E_-Cel3YkCpFpA

【2】https://mp.weixin.qq.com/s/FJWva702Q8QCjBq8gm501Q

【3】https://mp.weixin.qq.com/s/uzOpuSwU6VM4SQdgnkQSqQ

【4】https://mp.weixin.qq.com/s/UtvvnDz-C-JTkNWhfYrh9g

教授课程

春季学期数据结构（致远荣誉工科）；

春季学期数据库系统概论；

论文发表

Complete List of Publications:

List of Publications:

Zirui Tang, Boyu Niu, Xuanhe Zhou*, Boxiu Li, Wei Zhou, Jiannan Wang, Guoliang Li, Xinyi Zhang, Fan Wu. ST-Raptor: LLM-Powered Semi-Structured Table Question Answering. In SIGMOD, 2026.
Xuanhe Zhou, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen. "OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML." In SIGMOD. 2025.
Wei Zhou, Yuyang Gao, Xuanhe Zhou*, Guoliang Li. "Cracking SQL Barriers: An LLM-based Dialect Translation System." In SIGMOD, 2025.
Zhaoyan Sun, Xuanhe Zhou, Jianming Wu, Wei Zhou, Guoliang Li. "D-Bot: An LLM-Powered DBA Copilot." In SIGMOD, 2025.
Zhaoyan Sun, Xuanhe Zhou, Guoliang Li. "R-bot: An llm-based query rewrite system." In VLDB, 2024.
Yihang Zheng, Bo Li, Zhenghao Lin, Yi Luo, Xuanhe Zhou, Chen Lin, Jinsong Su, Guoliang Li, Shifu Li. "Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation." In SIGKDD, 2025.
Yang Wu, Xuanhe Zhou, Xiaoguang Li, Feifei Li, Yong Zhang. "MemQ: A Graph-Based Query Memory Prediction Framework for Effective Workload Scheduling." In ICDE, 2025.
Yihang Zheng, Chen Lin, Xian Lyu, Xuanhe Zhou, Guoliang Li, Tianqing Wang. "Robustness of Updatable Learning-based Index Advisors against Poisoning Attack." In SIGMOD, 2024.
Xuanhe Zhou, Guoliang Li, Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng. "D-Bot: Database Diagnosis System using Large Language Models." In VLDB, 2024.
Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li. "Breaking it down: An in-depth study of index advisors." In VLDB, 2024.
Zhao, Xinyang, Xuanhe Zhou, and Guoliang Li. "Chat2data: An interactive data analysis system with rag, vector databases and llms." In VLDB, 2024.
Li, Guoliang, Xuanhe Zhou, and Xinyang Zhao. "Llm for data management." In VLDB 2024.
Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li. "TRAP: tailored robustness assessment for index advisors via adversarial perturbation." In ICDE, 2024.
Yang Wu, Xuanhe Zhou, Yong Zhang, Guoliang Li. "Automatic Index Tuning: A Survey." In TKDE, 2024.
Xuanhe Zhou, Guoliang Li, Wei Guo, Luyang Liu. "Grep: A graph learning based database partitioning system." In SIGMOD, 2023.
Xuanhe Zhou, Cheng Chen, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqqiang Chen. "Febench: A benchmark for real-time relational data feature extraction." In VLDB, 2023.
Xuanhe Zhou, Guoliang Li, Jianming Wu, Jiesi Liu, Zhaoyan Sun, Xinning Zhang. "A learned query rewrite system." In VLDB, 2023.
Sun, Zhaoyan, Xuanhe Zhou, and Guoliang Li. "Learned index: A comprehensive experimental evaluation." In VLDB, 2023.
Yuanning Gao, Xiuqi Huang, Xuanhe Zhou, Xiaofeng Gao, Guoliang Li. "Dbaugur: An adversarial-based trend forecasting system for diversified workloads." In ICDE, 2023.
Li, Jinyang, et al. "Can LLM already serve as a database interface? a big bench for large-scale database grounded text-to-SQLs." In NeurIPS, 2023.
Zhao, Xinyang, Xuanhe Zhou, and Guoliang Li. "Automatic database knob tuning: A survey." In TKDE, 2023.
Zhou Xuanhe, Zhaoyan Sun, and Guoliang Li. "Db-gpt: Large language model meets database." In DSE, 2024.
Lixi Zhang, Chengliang Chai, Xuanhe Zhou, Guoliang Li. "Learnedsqlgen: Constraint-aware sql generation using reinforcement learning." In SIGMOD, 2022.
Xuanhe Zhou, Guoliang Li, Chengliang Chai, Jianhua Feng. "A learned query rewrite system using monte carlo tree search." In VLDB, 2021.
Xuanhe Zhou, Luyang Liu, Wenbo Li, Lianyuan Jin, Tianqing Wang, Shifu Li. "Autoindex: An incremental index management system for dynamic workloads." In ICDE, 2022.
Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, Guoliang Li. "Adaptive code learning for spark configuration tuning." In ICDE, 2022.
Li, Guoliang, and Xuanhe Zhou. "Machine learning for data management: A system view." In ICDE, 2022.
Guoliang Li, Xuanhe Zhou, Ji Sun, Xiang Yu, Yue Han, Lianyuan Jin, Wenbo Li, Tianqing Wang, Shifu Li. "opengauss: An autonomous database system." In VLDB,2021.
Xuanhe Zhou, Lianyuan Jin, Ji Sun, Xinyang Zhao, Xiang Yu, Shifu Li, Tianqing Wang, et al. "Dbmind: A self-driving platform in opengauss." In VLDB, 2021.
Li, Guoliang, Xuanhe Zhou, and Lei Cao. "AI meets database: AI4DB and DB4AI." In SIGMOD, 2021.
Li, Guoliang, Xuanhe Zhou, and Lei Cao. "Machine learning for databases." In VLDB, 2021.
Xuanhe Zhou, Ji Sun, Guoliang Li, Jianhua Feng. "Query performance prediction for concurrent queries using graph embedding." In VLDB, 2020.
Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun. "Database meets artificial intelligence: A survey." In TKDE, 2020.
Guoliang Li, Xuanhe Zhou, Shifu Li, Bo Gao. "Qtune: A query-aware database tuning system with deep reinforcement learning." In VLDB, 2019.

资助项目

主持

CCF-华为胡杨林基金项目(2025-2026)：查询资源预估和智能任务调度
CCF-腾讯犀牛鸟基金项目(2025-2026)：LLM 赋能的智能数据系统
字节跳动基金项目(2025-2026)：大模型方言转换
国家自然科学基金青年项目(2026-2028)

获奖信息

2025 - ACM Jim Gray Dissertation Honorable Mention Award (中国大陆首位)
2024 - CCF Doctoral Dissertation Award (CCF 优博，全国十位)
2023 - VLDB Best Industry Paper RunnerUp Award (第一作者)
2023 - Top 100 Open Source Achievements by Benchcouncil (第一作者)
2022 - Outstanding Scholarship of Tsinghua University (清华特奖，清华最高员工荣誉)
2022 - ByteDance Fellowship (全国十位)
2022 - MSRA Fellowship (亚洲十二位)
2021 - Zhongshimo Fellowship (钟士模奖学金，清华计算机最高员工荣誉)
2021 - Apple Scholars in AI/ML Nomination

学术服务

Journals - TKDE, VLDB Journal, ACM CSUR, Transactions on Computers, Journal of Big Data