I am Hu Zirui 胡梓锐 (2001.02), received my B.Eng. degree (2018 - 2022) from Software Engineering College and Department of Chinese Language and Literature of East China Normal University in 2022. I am a Fifth-Year PhD student advised by Prof. Rong Zhang and co-advised by Prof. Xuan Zhou at School of Data Science and Engineering (DaSE) of East China Normal University (2022.09 - 2027.06 in theroy).

My research focuses on database kernel technology, especially for HTAP Database Systems Optimization and Database Benchmarking. I am actively exploring directions in Agentic Database (including agent memory and semantic query optimization) and LLM infrastructure, and I would very much welcome opportunities for discussion and collaboration.

I maintain curated paper lists for OLAP , AI4DB and cutting-edge industry practices from leading tech giants such as Google, Amazon, Alibaba, and Huawei. These resources aim to keep researchers and practitioners up to date with the latest advancements in these fields.

I love badminton🏸, basketball🏀, calligraphy🖊, singing🎤 and piano🎹 in my spare time.

📝 Publications

All papers are listed in descending order by year (# indicates co-first authors).

• VLDB'27 Metis: Revisiting Workload-Aware Multidimensional Histograms for Cardinality Estimation. Xuhua Huang, Xinyu Xiang, Zirui Hu, et al. CCF-A Conference · Histogram-based Cardinality Estimation · with OceanBase, Ant Group
• arXiv'26 Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data. Lingyang Zeng, Guangze Chen, Kaichen Yu, Zhicheng Pan, Siyang Weng, Zirui Hu, et al. Preprint · Agent Memory, Benchmark · with Huawei
• VLDB'26 Vodka: Rethink Benchmarking Philosophy in HTAP Systems. Zirui Hu, et al. CCF-A Conference · HTAP System, Benchmark · with OceanBase, Ant Group
• VLDB'26 Pisco: An Isolation Bug Case Reduction and Deduplication Framework. Siyang Weng, Hongyu Yang, Zirui Hu, et al. CCF-A Conference · Transactional Bug · with Tencent Inc.
• TKDE'26 A High-Performance Black-Box Bug-Finding Tool for Database Isolation Levels. Siyang Weng, Keqiang Li, Zirui Hu, et al. CCF-A Journal · Isolation Level, Verification · with Kingbase
• Journal of Software'26 Survey on Multimodel and Multimodal Database Query Processing. Lingyang Zeng, Xuhua Huang, Hongyu Yang, Siyang Weng, Zirui Hu, et al. CCF-A Journal · Multimodal Query Processing · with Kingbase
• BigData'25 Memory-Aware Query Optimization. Haopu Dong, Zirui Hu, et al. CCF-C Conference · Query Optimization · with Kingbase
• SIGMOD'25 A Query-Aware Enormous Database Generator For System Performance Evaluation. Xuhua Huang, Zirui Hu, et al. CCF-A · Synthetic Data Generation · with OceanBase, Ant Group
• ICDE'25 NDBC'25 Artemis: A Customizable Workload Generation Toolkit for Benchmarking Cardinality Estimation. Zirui Hu, et al. CCF-A Conference · Cardinality Estimation, Benchmark · with OceanBase, Ant Group
• ICDE'25 Rabbit: Retrieval-Augmented Generation Enables Better Automatic Database Knob Tuning. Wenwen Sun#, Zhicheng Pan#, Zirui Hu, et al. CCF-A Conference · AI4DB, LLM Application, Database Tuning
• ICDE'24 Mirage: Generating Enormous Databases for Complex Workloads. Qingshuai Wang, Hao Li, Zirui Hu, et al. CCF-A Conference · Synthetic Data Generation
• DASFAA'24 Touchstone+: Query Aware Database Generation for Match Operators. Hao Li, Qingshuai Wang, Zirui Hu, et al. CCF-B Conference · Synthetic Data Generation · with OceanBase, Ant Group
• Digital Economy & Sustainable Development'24 Determinants of Successful Mergers and Acquisitions in China: Evidence from Machine Learning. Shengdi Zhou, Faqin Lan, Zirui Hu, et al. Economics · Journal · AI4Finance
• Journal of Software'24 The Benchmarking Ability of HTAP Benchmarks. Siyang Weng, Rong Yu, Qingshuai Wang, Zirui Hu, et al. CCF-A CN Journal · HTAP Benchmark · with OceanBase, Ant Group; Huawei
• Journal of Software'23 Data Sharing Model and Optimization Strategies in HTAP Database Systems. Zirui Hu, et al. CCF-A CN Journal · HTAP System
• WAITING FOR MORE Conference Extension (CCF-B Journal Major Revision) · TDSQL (To Submit in CCF-A Conference) · Griffin (To Submit in CCF-A Conference) · Panacea (To Submit in CCF-A Conference)

🎖 Selected Awards

1. 2026 National Scholarship in School of Data Science and Engineering of ECNU
2. 2026 Tencent Rhino Bird Elite Talent Program Outstanding Scholarship
3. 2026 Outstanding Communist Youth League Member in School of Data Science and Engineering of ECNU
4. 2025 Huaxin Scholarship in School of Computer Science and Technology of ECNU
5. 2025 Outstanding Student in School of Data Science and Engineering of ECNU
6. 2023 Top 100 Benchmarks & Evaluation Achievements of FICC
7. 2023 PanGu Enterprise Second-class Scholarship in School of Data Science and Engineering of ECNU
8. 2023 Excellent Student in ECNU DaSE Summer School (Theme: Data Systems in the Intelligent Era)
9. 2023 Top 20 in the Order Matching System Competition of Ubiquant Investment Corp
10. 2022 Second place of the First OceanBase Database Contest
11. 2022 VLDB Summer School First Prize Excellent Student & Active Participation Award
12. 2022 Yangtze River Delta Fintech Global Challenge College Student Innovation Award
13. 2022 Outstanding Graduate of Shanghai Province
14. 2021 Second prize in China College Student Computer Design Competition
15. 2021 Second prize of Shanghai University Students’ Cultural and Creative Works Exhibition
16. 2020 Excellent Student of ByteDance FeiShu Training Camp
17. 2020 Third Prize in the National College Student Information Security Competition’s Innovation and Practice Ability Contest
18. 2019-2021 First-Class Scholarship in School of Software and Engineering of ECNU (Twice)
19. 2018-2021 Outstanding Student in School of Software and Engineering of ECNU (Three Times)

🏦 Internship

• Tencent, Research Intern of Storage Engine Group at TEG, Rhino Bird Elite Talent Program, Shenzhen & Shanghai China (2025.09-2026.09, Mentor: Summer Wu, Yuxing Chen).

🎙 Invited Talks

• IEEE International Conference on Data Engineering (ICDE) (Theme: Mirage: Generating Enormous Databases for Complex Workloads, PPT) @ Utrecht Netherland, 2024 Summer.
• PingCAP TiDB Talent Plan Tutor (Theme: Learned-based Cardinality/Cost Estimation, PPT) @ Shanghai China, 2022 Winter.
• Bytedance ByteHouse technical session (Theme: Query-aware Data Generation, PPT) @ Shanghai China, 2025 Summer.

📚 Teaching Experience

• Teaching Assistant of Natural Language Processing @ Shanghai ECNU DaSE, 2024 Spring.
• Teaching Assistant of Volunteer Teaching Summer Camp @ Jiangxi Shangrao Lingxi Lingzhang Primary School, 2019 Spring.

📮 Academic Services

• Program Committee Member, ACM International Conference on Web Search and Data Mining (WSDM 2027, CCF-B)

📑 Interesting Paper Sharing

1. Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing. 2021 OSDI, Theme: HTAP System, PDF, PPT.
2. Are We Ready For Learned Cardinality Estimation? 2021 VLDB, Theme: AI4Cardinality Estimation, PDF, PPT.
3. Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. 2022 VLDB, Theme: AI4Cost Model, PDF, PPT.
4. Diva: Making MVCC Systems HTAP-Friendly. 2022 SIGMOD, Theme: HTAP & MVCC, PDF, PPT.
5. Lero: A Learning-to-Rank Query Optimizer. 2023 VLDB, Theme: AI4Query Optimizer, PDF, PPT.
6. Detecting Logic Bugs of Join Optimizations in DBMS. 2023 SIGMOD, Theme: Functional Bug Detection, PDF, PPT.
7. Detecting Metadata-Related Logic Bugs in Database Systems via Raw Database Construction. 2024 VLDB, Theme: Functional Bug Detection, PDF, PPT.
8. PUPPY: Finding Performance Degradation Bugs in DBMSs via Limited-Optimization Plan Construction. 2025 ICSE, Theme: Performance Bug Detection, PDF, PPT.
9. Constant Optimization Driven Database System Testing. 2025 SIGMOD, Theme: Functional Bug Detection, PDF, PPT.
10. TXSQL: Lock Optimizations Towards High Contented Workloads. 2025 SIGMOD, Theme: Lock Optimization in Hotspot, PDF, PPT.

Please note, these PowerPoints are intended solely for personal learning purposes. All papers discussed here are authored by others, not by us. If you have any detailed questions or would like to explore the research further, please refer to the original authors of the respective papers. If there are any errors or omissions, your understanding is appreciated! More papers can be found in this repo .

🪐 Kind Visitors