> For the complete documentation index, see [llms.txt](https://xuanhe.gitbook.io/xuanhe-zhou/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xuanhe.gitbook.io/xuanhe-zhou/readme.md). # Xuanhe Zhou (周煊赫) \[[Google Scholar](https://scholar.google.com/citations?user=hTEZzf4AAAAJ\&hl=zh-CN)] \[[Group Github](https://github.com/weAIDB)] \[[Theseus Labs](https://github.com/theseus-labs-rsi)] ***Tenure-Track Assistant Professor, at*** [***Dept. of Computer Science***](https://www.cs.sjtu.edu.cn/About.aspx)***, Shanghai Jiao Tong University.*** ***Faculty of*** [***Zhiyuan Honors Program***](https://en.zhiyuan.sjtu.edu.cn/en/faculty/961/detail) ***and*** [***Paris Elite Institute of Technology (SPEIT)***](https://speit.sjtu.edu.cn/en)***, Shanghai Jiao Tong University.*** ***Assistant Researcher at Shanghai AI Laboratory (with*** [***Conghui He***](https://conghui.github.io/)***).*** ***Technical Consultant of*** [***4Paradigm***](https://en.4paradigm.com/index.html) ***and*** [***MemTensor***](https://memos.openmem.net/)***.*** ***Contact Email:*** * **;** (Prof.* [*Fan Wu*](https://www.cs.sjtu.edu.cn/Leader.aspx)*)* *Ph.D from CS of Tsinghua, advised by Prof. Guoliang Li.* *** *Xuanhe Zhou is a tenure-track Assistant Professor at the School of Computer Science, Shanghai Jiao Tong University. His research in self-improving and data-centric-AI has driven technological innovation and industry impact. Several of his papers from the past five years have become highly cited works in venues such as NeurIPS, VLDB. His publications have accumulated over 5,000 citations on Google Scholar. His accolades* *include* *the 2025 ACM Jim Gray Honorable Mention (the first recipient from mainland China), the VLDB 2023 Best Industry Paper Runner-up (first author), as well as recognitions such as Microsoft Scholar, ByteDance Scholarship, and the Tsinghua Special Scholarship (清华特奖). His representative systems have been adopted in hundreds of real-world applications.* *周煊赫，现任上海交通大学计算机学院长聘轨助理教授，上海人工智能实验室兼职助理研究员，第四范式技术顾问，智源青年学者。主要研究Self-Improving Agent、大模型后训练、大模型数据治理，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。在CCF A类会议和期刊上已发表论文数十篇，包括近五年NIPS、VLDB高被引论文，入选卡耐基梅隆大学、康奈尔大学等高校课程。谷歌学术引用量五千余次。曾获 ACM 2025 Jim Gray Honorable Mention（大陆首位）、VLDB 2023 Best Industry Paper Runner-up（第一作者）、CCF优博、世界人工智能大会云帆奖、微软学者、字节跳动奖学金、清华特奖等荣誉。新一代人工智能国家科技重大专项课题负责人。主持国家自然科学基金青年项目*、*东方英才计划青年项目等。代表性工作已在金融、电商、能源等数百个真实场景中规模化应用。* ## **Student Collaborators** ☄️ **Wei Zhou** Intern: ByteDance. ☄️ **Zirui Tang** Intern: ByteDance. ☄️ **Bangrui Xu** Intern: Humanlaya. ☄️ **Xuzhou Zhu** Intern: RedNote. ☄️ **Xufei Wu** Intern: Tencent; ByteDance. ☄️ **Haodong Chen** Intern: SenseTime. ☄️ **Jie Yang** (with Shanghai AI Lab). ☄️ **Le Zhou** Intern: MemTensor. **☄️ Yukai Wu** Intern: Tencent. **☄️ Boyu Niu** (with [*Zhiyuan Liu*](https://scholar.google.com/citations?user=dT0v5u0AAAAJ\&hl=en)). **☄️ Qian Jiang** (with [*Huanchen Zhang*](https://people.iiis.tsinghua.edu.cn/~huanchen)). **☄️ Ying Liu** (with *Shanghai AI Lab*). **☄️ Sihan Chen** (with *Shanghai AI Lab*). **☄️ Jinxiu Qu** Intern: Mivus. 🌕 **Ziqian Ren** Intern: Kimi; ByteDance. 🌕 **Yumou Liu** Intern: Humanlaya. 🌕 **Shaokun Han** 🌕 **Jun Zhou** 🌕 **Xiang Zhang** 🌕 **Shuhang Lu** Intern: ModelBest. 🌕 **Sihan Wang** 🌕 **Linchun Li** 🌕 **Yuanjing Yang** 🌕 **Tiancheng Huang** Intern: Tencent. 🌟 **Research Assistants** * Hongming Xu (Intern: MemTensor); Yiming Li; Nuoxi Chen (Intern: MemTensor); Shaoli Yu; Xiaoyou Yu; Leyao Gu (Intern: SenseTime); Muzhi Chen; Zihang Zhou; Dayou Zhou; Zhenghao Li; Gaoang He * Linhan Pang; Sidi Chen; Zhonghe Jin; Yuyang Zhong; Shihan Yu; Jiajun Xu; Shiqi Jin; Hongyi Zhou; Lanxi Wang; Haoyu Wang; Xi Chen; Zhanhua Cui; Ziqian Gu **🛫 Alumni** * Xin Tong; Zhaojun Sun; Haoyu Zhao; Changdong Liu {% hint style="info" %} *We are building next-generation **next-generation intelligence that can evolve**, in close collaboration with our partners (e.g., Tencent, ByteDance, Shanghai AI Lab, Humanlaya, ModelBest, RedNote, BAAI, SenseTime, ...)*. *We keep seeking for strong and self-motivated PhD students, master students, and interns. Our Team owns GPU cards (**no limit, nearly**) sufficient for experiments.* [***Heading Toward ASI, together***](https://github.com/weAIDB/awsome-data-llm)***!**** \*\*\*\*🌤*** {% endhint %}
## News Jun 2026 | *"Are We Ready For An Agent-Native Memory System?"* is ranked [#1 Paper of the day](https://huggingface.co/papers/2606.24775) on Huggingface 🎉 June 2026 | [Workspace-Bench 1.0](https://github.com/OpenDataBox/Workspace-Bench) is utilized to measure the Real-World Productivity capability of The Seed 2.1 model \[[link](https://mp.weixin.qq.com/s/lU3ctCGQFL1aNEVSYlSX7A)] 🎉 Apr, May 2026 | Technique reports of [MinerU2.5-Pro](https://github.com/opendatalab/MinerU) (the world’s leading 2.1B document VLM) and [MinerU-Popo](https://github.com/opendatalab/MinerU-Popo) (4B post-processing VLM) are Released 🎉 Mar 2026 | Selected as [*BAAI Young Scholar*](#student-collaborators) *(Beijing)* Jan | Feb, 2026 | Our Agentic-Data-Governance Survey \[[arXiv](https://www.arxiv.org/pdf/2601.17058)] and World-Model Investigation \[[arXiv](https://arxiv.org/abs/2602.23152)] Ranked #1 Weekly Paper on HuggingFace 🎉 Dec, 2025 | Selected as [*Outstanding Eastern Young Scholar*](#news) *(Shanghai)* July 27, 2025 | World Artificial Intelligence Conf. (WAIC) [*Yunfan Award*](https://mp.weixin.qq.com/s/4xoS-GyFfQWzdUKKCP7HNQ) (one of 15 global recipients) 🎉 July 23, 2025 I **4+** Papers (NIPS, SIGMOD, VLDB) are selected into 2025 Highly-Cited List ([Google Scholar](https://scholar.googleblog.com/2025/07/2025-scholar-metrics-released.html)) 🌤 April 20, 2025 | *ACM Jim Gray Dissertation Honorable Mention Award (in memory of the Turing Award winner* [*Jim Gray*](https://wp.sigmod.org/?p=3379)*; first in Mainland China)* :confetti_ball: Nov 25, 2024 | [*1st Level* *Science and Technology Award*](https://www.china-cic.cn/Detail/20/51/5923) for *"An Open-Source Database for Large-Scale Enterprise Applications"* (Led by Prof. Li) 🎉 Nov 4, 2024 | BMTools ([*with 2.9k stars at Github*](https://github.com/OpenBMB/BMTools)) is accepted by CSUR 🌤 August 20, 2024 | [*BIRD-SQL*](https://bird-bench.github.io/) is adopted by OpenAI to promote their finetuning service \[[news](https://openai.com/index/gpt-4o-fine-tuning/?ref=upstract.com)] 🎉 July 24, 2024 | [*D-Bot*](https://github.com/TsinghuaDatabaseGroup/DB-GPT) is Now Sponsored by Azure AI 🎉 June 9, 2024 I Two Papers ([VLDB](https://scholar.google.com/citations?hl=en\&vq=eng_databasesinformationsystems\&view_op=list_hcore\&venue=HgMIeQ05CyMJ.2024), [ICDE](https://scholar.google.com/citations?hl=en\&view_op=list_hcore\&venue=HdCtgB7kxZAJ.2024\&vq=eng_databasesinformationsystems\&cstart=20)) are selected into 2024 Highly-Cited List (2019-2023) 🌤 July 24, 2023 | [*FEBench*](https://github.com/decis-bench/febench) wins VLDB [*Best Application Paper Runner-up Award*](#user-content-fn-1)[^1] \[[website](https://www.vldb.org/2023/?conference-awards#ea)] 🌤 October 20, 2022 | Microsoft Research Asia Fellow \[[news](https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/articles/meet-our-2022-microsoft-research-asia-fellows/)] 🎉 ## Selected Technical Reports **The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement.** \[Affiliations: SJTU, Theseus Labs, Tsinghua, ByteDance, ModelBest, Super Intelligence Team at Xiaohongshu, Shanghai AI Lab, Humanlaya, Agent-Native Research Lab, Frontis.AI] Yi Duan, Ying Liu, Zirui Tang, Haodong Chen, Jun Zhou, Yumou Liu, Bangrui Xu, Yukai Wu, Sidi Chen, Yuhan Zhou, Haoyu Wang, Xiaoyu Yu, Shaokun Han, Xuzhou Zhu, Le Zhou, Bolin Lu, Wei Zhou, Jiachen Liu, Nuozhou Fang, Jiaxin Tian, Ruoyu Chen, Yuxuan Li, Kai Zuo, Kaiyan Zhang, Qianyu Yang, Zijie Wang, Jiantao Qiu, Conghui He, Guoliang Li, Bowen Zhou, Zhiyuan Liu, Zhoufutu Wen, Jihua Kang, ^**Xuanhe Zhou**, Fan Wu. **A Survey of LLM × DATA.** [*https://github.com/weAIDB/awsome-data-llm*](https://github.com/weAIDB/awsome-data-llm) \[Affiliations: SJTU, Tsinghua, Shanghai AI Lab, Alibaba] ^**Xuanhe Zhou**, Junxuan He, Wei Zhou, Haodong Chen, Zirui Tang, Haoyu Zhao, Xin Tong, Guoliang Li, Youmin Chen, Jun Zhou, Zhaojun Sun, Binyuan Hui, Shuo Wang, Conghui He, Zhiyuan Liu, Jingren Zhou, Fan Wu. **The Trinity of Consistency as a Defining Principle for General World Models.** \[[paper](https://arxiv.org/abs/2602.23152)] \[Affiliations: Shanghai AI LAb, University of Chinese Academy of Sciences, Westlake University, National University of Singapore, Shanghai Jiaotong University, Zhejiang University] Jingxuan Wei, Siyuan Li, Yuhang Xu, Zheng Sun, Junjie Jiang, Hexuan Jin, Caijun Jia, Honghao He, Xinglong Xu, Xi bai, Chang Yu, Yumou Liu, Junnan Zhu, **Xuanhe Zhou**, Jintao Chen, Xiaobin Hu, Shancheng Pang, Bihui Yu, Ran He, Zhen Lei, Stan Z. Li, Conghui He, Shuicheng Yan, Cheng Tan ## Selected Projects 🪐 ***Workspace-Bench*** ***(***[***https://workspace-bench.github.io/***](https://workspace-bench.github.io/)***)***
🪐 ***MinerU*** ***(***[***https://mineru.net/***](https://mineru.net/)***)***
🪐 ***ByteHouse*** ***(***[***https://www.volcengine.com/product/bytehouse***](https://www.volcengine.com/product/bytehouse)***)***
## Recent Peer-Reviewed Publications :yellow\_circle: Data-Centric AI :red\_circle: Intelligent Data (for the future) :brown\_circle: AI Systems (for the future) :clubs: Quantum+Data \*indicates equal contribution ### 2026 **(NeurIPS) Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies.** \[[leaderboard](https://workspace-bench.github.io/)] :yellow\_circle: Zirui Tang, ^**Xuanhe Zhou**, Yumou Liu, Linchun Li, Yukai Wu, Weizheng Wang, Hongzhang Huang, Wei Zhou, Jun Zhou, Jiachen Song, Shaoli Yu, Jinqi Wang, Zihang Zhou, Hongyi Zhou, Yuting Lv, Jinyang Li, Jiashuo Liu, Ruoyu Chen, Chunwei Liu, GuoLiang Li, Jihua Kang, Fan Wu. **(NeurIPS) MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale.** \[[model](https://huggingface.co/opendatalab/MinerU2.5-Pro-2604-1.2B)] :yellow\_circle: Bin Wang, Tianyao He, Linke Ouyang, Fan Wu, et al. **(NeurIPS) Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists.** \[[website](https://intern-atlas.opendatalab.org.cn/explore)] :yellow\_circle: Yujun Wu, Dongxu Zhang, Xinchen Li, Jinhang Xu, Yiling Duan, Yumou Liu, Jiabao Pan, Qiyuan Zhu, Xuanhe Zhou, Jingxuan Wei, Siyuan Li, Jintao Chen, Conghui He, Cheng Tan. **(ACL) MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing.** \[[code](https://github.com/opendatalab/MinerU)] :yellow\_circle: ***Oral, 70k stars*** Junbo Niu, Zheng Liu, Zhuangcheng Gu, **Bin Wang**, Linke Ouyang, Zhiyuan Zhao, Tao Chu, Tianyao He, Fan Wu, Qintong Zhang, Zhenjiang Jin, Guang Liang, Rui Zhang, Wenzheng Zhang, Yuan Qu, Zhifei Ren, Yuefeng Sun, Zirui Tang, Boyu Niu, ..., **Xuanhe Zhou**, ..., Bowen Zhou, Dahua Lin, Wentao Zhang, **Conghui He**. **(EMNLP) UltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing.** :yellow\_circle: Xinlong Zhao, Dongsheng Liu, Hengyu Zhao, Zixuan Fu, Zheng Wang, Jie Cai, Jie Zhou, Qiang Ma, **Xuanhe Zhou**, Xu Han, Yudong Wang, Zhiyuan Liu. **(VLDB) TEngineDB-V: An OLAP-Native Vector Search System for Large-𝑘 Workloads at Tencent** \[[parqdb](https://github.com/parqdb-io/parqdb)] :brown\_circle: ***TEngineDB Tops the Global TPC-DS 100TB Benchmark*** Xufei Wu, Pengcheng Zhang, Yitong Song, Xiaobo Zhang, Anqi Liang, Kai Wang, Jijun Du, Guangxu Cheng, Zhe Chen, Peng Chen, Guoliang Li, ^**Xuanhe Zhou**, Fan Wu. **(SIGMOD) ByteHouse: ByteDance's Cloud-Native Data Warehouse for Real-Time Multimodal Data Analytics.** \[[paper](https://arxiv.org/pdf/2602.08226)] :brown\_circle: [*https://www.volcengine.com/product/bytehouse*](https://www.volcengine.com/product/bytehouse) Yuxing Han, Yu Lin, Yifeng Dong, ^**Xuanhe Zhou**, XinDong Peng, Xinhui Tian, Zhiyuan You, Yingzhong Guo, Xi Chen, Weiping Qu, Tao Meng, Dayue Gao, Haoyu Wang, Liuxi Wei, Huanchen Zhang, Fan Wu. *** **(ICML) OSM+: Billion-Level Open Street Map Dataset for City-wide Experiments.** :yellow\_circle: ***Spotlight*** Guanjie Zheng, Ziyang Su, Yiheng Wang, Yuhang Luo, Hongwei Zhang, **Xuanhe Zhou**, Linghe Kong, Fan Wu, Wen Ling. **(ECCV) GRADE: Benchmarking Discipline-Informed Reasoning in Image Editing.** :yellow\_circle: ***Oral*** Mingxin Liu, Ziqian Fan, Zhaokai Wang, Leyao Gu, Zirun Zhu, Yiguo He, Yuchen Yang, Changyao Tian, Xiangyu Zhao, Ning Liao, Shaofeng Zhang, Qibing Ren, Zhihang Zhong, **Xuanhe Zhou**, Junchi Yan, Xue Yang. **(SIGMOD) Automating Database-Native Function Code Synthesis with LLMs.** \[[paper](https://arxiv.org/abs/2604.06231)] \[[code](https://github.com/OpenDataBox/OpenCook)] :brown\_circle: [*https://code4db.github.io/hi-opencook*](https://code4db.github.io/hi-opencook/) Wei Zhou, ^**Xuanhe Zhou**, Qikang He, Guoliang Li, Bingsheng He, Quanqing Xu, Fan Wu. **(SIGMOD) MoDora: Tree-Based Semi-Structured Document Analysis System.** \[[paper](https://arxiv.org/pdf/2602.23061)] \[[code](https://github.com/weAIDB/MoDora)] :red\_circle: [*https://wu-uk.github.io/MoDora*](https://wu-uk.github.io/MoDora/) Bangrui Xu, Qihang Yao, Zirui Tang, ^**Xuanhe Zhou**, Yeye He, Shihan Yu, Qianqian Xu, Bin Wang, Guoliang Li, Conghui He, Fan Wu. **(SIGMOD) ST-Raptor: LLM-Powered Semi-Structured Table Question Answering.** \[[paper](https://arxiv.org/pdf/2508.18190)] \[[code](https://github.com/weAIDB/ST-Raptor)] :red\_circle: Zirui Tang, Boyu Niu, ^**Xuanhe Zhou**, Boxiu Li, Wei Zhou, Jiannan Wang, Guoliang Li, Xinyi Zhang, Fan Wu. **(VLDB) DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs.** \[[paper](https://arxiv.org/pdf/2508.01136)] \[[code](https://github.com/BIC-QA)] :brown\_circle: [*https://www.dbaiops.com*](https://www.dbaiops.com/) Wei Zhou, Peng Sun, ^**Xuanhe Zhou**, Qianglei Zang, Ji Xu, Tieying Zhang, Guoliang Li, Fan Wu. **(VLDB) AQD: Online Adaptive Query Dispatcher for HTAP Databases.** :brown\_circle: Yang Wu, Tongliang Li, ^**Xuanhe Zhou**, Jianying Wang, Xinjun Yang, Wenchao Zhou , Chunxiao Xing, Yong Zhang. **(VLDB) Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System.** :brown\_circle: Xiang Zhang, Le Zhou, Hongming Xu, **^Wei Zhou**, **^Xuanhe Zhou**, Guoliang Li, Yuyu Luo, Changdong Liu, Guorun Chen, Jiang Liao, Fan Wu. **(VLDB) Bridging NL2SQL for CAN Signal Analytics at NIO: From Externalized Schemas to CTE Pipelines.** :red\_circle: Wei Zhou\*, Haoyu Zhao\*, Ruiguang Zhong, Shaoli Yu, ^**Xuanhe Zhou**, Xue Yang, Xiaosong Jia, Guoliang Li, Shengzhong Liu, Kang Zhang, Jie Wu, Fan Wu. **(CVPR) Spatial Retrieval Augmented Autonomous Driving.** \[[paper](https://arxiv.org/abs/2512.06865)] \[[code](https://github.com/SpatialRetrievalAD/SpatialRetrievalAD-Dataset-Devkit)] :yellow\_circle: **Xiaosong Jia**, Chenhe Zhang, Yule Jiang, Songbur Wong, Zhiyuan Zhang, Chen Chen, Shaofeng Zhang, **Xuanhe Zhou**, Xue Yang, Junchi Yan, Yu-Gang Jiang. **(VLDB Workshop) Quantum-Ready Approximate Data Management using Tensor-Network Physical Pages.** \[paper] \[code] :clubs: Muzhi Chen, Hanwen Liu, ^**Xuanhe Zhou**, Hongming Xu, Zhenghao Li, Wei Zhou, Fan Wu. *** **(SIGMOD Demo) CrackSQL: A Hybrid Dialect Translation System Powered by LLM.** :brown\_circle: Wei Zhou, Yuyang Gao, **Xuanhe Zhou**, Guoliang Li. **(SIGMOD Demo) FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform.** \[[paper](https://arxiv.org/pdf/2504.00786)] \[[code](https://github.com/4paradigm/FeatInsight)] :brown\_circle: Xin Tong, ^**Xuanhe Zhou**, Bingsheng He, Guoliang Li, Zirui Tang, Wei Zhou, Fan Wu, Mian Lu, Yuqiang Chen. **(VLDB Demo) DBCooker: A Database Kernel-Specialized Coding Agent Harness.** :brown\_circle: Wei Zhou, ^**Xuanhe Zhou**, Qikang He, Guoliang Li, Bingsheng He, Chao Peng, Yun Lin, Fan Wu. **(VLDB Demo) MoDora: A Multimodal Document AI Assistant Harness.** :red\_circle: Yukai Wu, Bangrui Xu, Shaoli Yu, Zirui Tang, ^**Xuanhe Zhou**, Yeye He, Bin Wang, Conghui He, Guoliang Li, Fan Wu. *** **(SIGMOD Tutorial) Vector Search for the Future: From Memory-Resident, Static Heterogeneous Storage, to Cloud-Native Architectures.** \[[paper](https://arxiv.org/pdf/2601.01937)] \[[slides](https://drive.google.com/file/d/11rxDwnpMpiHyHnJOSwDLF8-Yflc60Gk2/view?usp=sharing)] :brown\_circle: Yitong Song, **Xuanhe Zhou**, Christian S. Jensen, Jianliang Xu. **(VLDB Tutorial) Data Management for Agentic Memory: Foundations, Systems, and Challenges.** \[paper] \[slides] :brown\_circle: Guoliang Li, Jiaqi Tian, **Xuanhe Zhou**. **(VLDB Tutorial) How Can Quantum Computing and Databases Meet "in Practice"? From Algorithms to Systems.** \[paper] \[slides] :brown\_circle: Hanwen Liu, Yiran Li, Ibrahim Sabek, **Xuanhe Zhou,** Hans-Arno Jacobsen. ### 2025 **(SIGMOD) OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML.** \[[paper](https://arxiv.org/pdf/2501.08591)] \[[code](https://github.com/4paradigm/OpenMLDB)] :brown\_circle: [*https://openmldb.ai*]() ***Over 1.6k stars*** **Xuanhe Zhou**, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, ^Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen. **(SIGMOD) Cracking SQL Barriers: An LLM-based Dialect Translation System.** \[[paper](mailto:undefined)] \[[code](https://github.com/weAIDB/CrackSQL)] :brown\_circle: Wei Zhou, Yuyang Gao, ^**Xuanhe Zhou**, ^Guoliang Li. **(SIGMOD Demo) D-Bot: An LLM-Powered DBA Copilot.** :yellow\_circle: Zhaoyan Sun, **Xuanhe Zhou**, Jianming Wu, Wei Zhou, ^Guoliang Li **(NeurIPS) PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation.** \[paper] \[[code](https://github.com/weAIDB/PARROT)] \[[leaderboard](https://code4db.github.io/parrot-bench/)] :brown\_circle: (4.75/5) Wei Zhou, Guoliang Li, Haoyu Wang, Yuxing Han, Wu Xufei, Fan Wu, ^**Xuanhe Zhou.** **(VLDB) R-Bot: An LLM-based Query Rewrite System.** \[[code](https://github.com/curtis-sun/LLM4Rewrite)] :brown\_circle: Zhaoyan Sun, **Xuanhe Zhou**, Guoliang Li **(KDD) Revolutionizing Database QA with Large Language Models: Comprehensive Benchmark and Evaluation.** \[[paper](https://arxiv.org/pdf/2409.04475)] \[[code](https://github.com/XMUDM/DQABench)] :yellow\_circle: Yihang Zheng, Bo Li, Zhenghao Lin, Yi Luo, **Xuanhe Zhou**, Chen Lin, Jinsong Su, Guoliang Li, Shifu Li. **(ICDE) MemQ: A Graph-Based Query Memory Prediction Framework for Effective Workload Scheduling.** \[[code](https://github.com/earthwuyang/pg_mem_pred)] :brown\_circle: Yang Wu, **Xuanhe Zhou**, Xiaoguang Li, Feifei Li, Yong Zhang. ### 2024 **(SIGMOD) Robustness of Updatable Learning-based Index Advisors.** \[[paper](https://dbgroup.cs.tsinghua.edu.cn/ligl/papers/PIPA_2024.pdf)] \[[code](https://github.com/XMUDM/PIDPA)] Yihang Zheng, Chen Lin, Xian Lyu, ***Xuanhe Zhou***, Guoliang Li, Tianqing Wang. **(VLDB) D-Bot: Database Diagnosis System using Large Language Models.** \[[paper](https://dbgroup.cs.tsinghua.edu.cn/ligl/papers/dbot_vldb_camera_ready_v1.pdf)] \[[code](https://github.com/TsinghuaDatabaseGroup/DB-GPT)] ***BenchCouncil Top 100 Open Achievements*** ***Xuanhe Zhou***, 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](https://github.com/code4DB/Index_EAB?tab=readme-ov-file)] \[[pypi](https://pypi.org/project/index-eab/0.1.0/)] ***Direct Accept with Shepherding*** Wei Zhou\*, Chen Lin\*, ***Xuanhe Zhou**\**, Guoliang Li. **(VLDB Demo) Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs.** \[[paper](https://dbgroup.cs.tsinghua.edu.cn/ligl/papers/chat2data_demo_vldb2024.pdf)] \[[code](https://github.com/zhouxh19/ChatBase)] Xinyang Zhao, ***Xuanhe Zhou***, Guoliang Li. **(VLDB Tutorial) LLM for Data Management.** \[[slides](https://dbgroup.cs.tsinghua.edu.cn/ligl/papers/tutorial-llm-meets-db.pdf)] \[[repo](https://github.com/code4DB/LLM4DB)] Guoliang Li, ***Xuanhe Zhou***, Xinyang Zhao. **(ICDE) TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation.** \[[paper](https://dbgroup.cs.tsinghua.edu.cn/ligl/papers/TRAP_ICDE__CR_.pdf)] \[[code](https://github.com/Beliefuture/TRAP)] Wei Zhou, Chen Lin, ***Xuanhe Zhou***, Guoliang Li. **(TKDE) Automatic Index Tuning: A Survey.** \[[paper](https://dbgroup.cs.tsinghua.edu.cn/ligl/papers/tkde-index-tuning-cr.pdf)] Yang Wu\*, ***Xuanhe Zhou***\*, Yong Zhang, Guoliang Li **(CSUR) Tool Learning with Foundation Models.** \[[paper](https://arxiv.org/pdf/2304.08354)] \[[repo](https://github.com/OpenBMB/BMTools)] ***2.9k stars*** ### 2023 **(SIGMOD) Grep: A Graph Learning Based Database Partitioning System.** \[[paper](http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/grep.pdf)] \[[code](https://github.com/TsinghuaDatabaseGroup/AI4DBCode/tree/master/DatabasePartition)] ***Xuanhe Zhou***, Guoliang Li, Wei Guo, Luyang Liu. **(VLDB Industry)** **FEBench: A Benchmark for Real-Time Relational Data Feature Extraction.** \[[paper](http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/febench.pdf)] \[[code](https://github.com/decis-bench/febench)] [***Best Industry Paper Runnerup Award***](https://vldb.org/2023/?conference-awards) ***Xuanhe Zhou**\**, 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](http://rewrite_demo.dbmind.cn)] ***Xuanhe Zhou***, Guoliang Li, Jianming Wu, Jiesi Liu, Zhaoyan Sun, Xinning Zhang. **(VLDB) Learned Index: A Comprehensive Experimental Evaluation.** \[[paper](http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/experiment-learned-index.pdf)] \[[code](https://github.com/curtis-sun/TLI)] Zhaoyan Sun, ***Xuanhe Zhou***, Guoliang Li. **(ICDE) DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads.** \[[paper](http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/workload-forecast-icde23.pdf)] \[[code](https://github.com/gaoyuanning/DBAugur)] 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](https://arxiv.org/pdf/2305.03111.pdf)] \[[code](https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/bird)] ***Spotlight*** With *Damo Academy (Binyuan Hui, Yongbin Li, et al)* and *University of Hong Kong (Jinyang Li)* **(TKDE) Automatic Database Knob Tuning: A Survey.** \[[paper](http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/tuning-survey.pdf)] \[[code](https://github.com/evolveDB/tuning-survey)] Xinyang Zhao\*, ***Xuanhe Zhou**\**, Guoliang Li. **(DSE) DB-GPT: Large Language Model Meets Database.** \[[paper](https://link.springer.com/article/10.1007/s41019-023-00235-6)] \[[code](https://github.com/TsinghuaDatabaseGroup/DB-GPT)] ***Xuanhe Zhou***\*, Zhaoyan Sun\*, Guoliang Li. ## Honors and Awards **2025 -** [**WAIC Yunfan Award**](https://mp.weixin.qq.com/s/4xoS-GyFfQWzdUKKCP7HNQ) (15 global recipients) **2025 -** [**ACM Jim Gray Dissertation Honorable Mention Award**](https://sigmod.org/sigmod-awards/sigmod-jim-gray-doctoral-dissertation-award/) (fisrt in Mainland) **2024 -** [**CCF Doctoral Dissertation Award**](https://www.ccf.org.cn/Awards/Awards/2024-12-11/835343.shtml) (CCF 优博, 10 recipients in China) **2024 - Tsinghua Doctoral Dissertation Award** (清华优博) **2023 -** [**VLDB Best Industry Paper RunnerUp Award**](https://vldb.org/2023/?conference-awards) (first author) **2023 -** [**Top 100 Open Source Achievements**](https://www.benchcouncil.org/evaluation/opencs/annual.html) by Benchcouncil ***20*****22 -** [**Outstanding Scholarship of Tsinghua University**](https://www.tsinghua.edu.cn/info/1177/102381.htm) (清华特奖) **2022** **-** [**ByteDance Fellowship**](https://ur.bytedance.com/scholarship) (10 recipients in China) **2022** **-** [**MSRA Fellowship**](https://www.microsoft.com/en-us/research/academic-program/fellowships-microsoft-research-asia/fellows/) (12 recipients in the Asia-Pacific region) **2021** **-** [**Zhongshimo Fellowship**](https://www.cs.tsinghua.edu.cn/info/1058/4887.htm) (钟士模奖学金) **2021 - Apple Scholars in AI/ML Nomination** ## Services **2027** - VLDB, VLDB Demo, CVPR, ICDE, EDBT, ECCV Reviewer **2026** - NuerIPS Reviewer, EMNLP Industry Area Chair **Journals** - TKDE, VLDB Journal, ACM CSUR, Transactions on Computers ## Teaching **Spring 2025, Data Structures, SJTU, Teaching** [^1]: