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 currently pursuing my doctorate degree in the DBHammer research group, advised by Prof. Rong Zhang and co-advised by Prof. Xuan Zhou, Research Prof. ChengCheng Yang, and Prof. Peng Cai and at School of Data Science and Engineering of East China Normal University (2022.09 - 2027.06).

My research focuses on database kernel technology, especially for OLAP query optimization, AI4DB, benchmark design and database system testing.

🎖 Selected Awards

1. 2023 Top 100 Benchmarks & Evaluation Achievements of FICC
2. 2023 PanGu Enterprise Second-class Scholarship
3. 2023 Top 20 in the Order Matching System Competition of Ubiquant Investment Corp
4. 2023 Excellent Student in ECNU DaSE Summer School (Theme: 智能时代的数据系统)
5. 2022 Second place of the First OceanBase Database Contest
6. 2022 11th place in the Preliminary Round of the PingCAP TiDB Hackathon Contest
7. 2022 VLDB Summer School First Prize Excellent Student & Active Participation Award
8. 2022 Yangtze River Delta Fintech Global Challenge College Student Innovation Award
9. 2022 Outstanding Graduate of Shanghai Province
10. 2021 Second prize in China College Student Computer Design Competition
11. 2021 Second prize of Shanghai University Students’ Cultural and Creative Works Exhibition
12. 2020 Excellent Student of Bytedance FeiShu Training Camp
13. 2020 Third Prize in the National College Student Information Security Competition’s Innovation and Practice Ability Contest
14. 2019 Third prize in English Speech Contest of Foreign Research Institute of ECNU
15. 2019-2021 First-Class Scholarship in ECNU
16. 2018-2021 Outstanding Student in Software and Engineering College of ECNU

📝 Publications

• [ICDE’25] Artemis: A Customizable Workload Generation Toolkit for Benchmarking Cardinality Estimation. Zirui Hu, Rong Zhang, Chengcheng Yang, Xuan Zhou, Quanqing Xu, Chuanhui Yang (Computer Science, CCF-A), PDF.
• [ICDE’24] Mirage: Generating Enormous Databases for Complex Workloads. Qingshuai Wang, Hao Li, Zirui Hu, Rong Zhang, Chengcheng Yang, Peng Cai, Xuan Zhou, and Aoying Zhou (Computer Science, CCF-A), PDF.
• [DASFAA’24] Touchstone+ : Query Aware Database Generation for Match Operators. Hao Li, Qingshuai Wang, Zirui Hu, Xuhua Huang, Lv Ni, Rong Zhang, Xuan Zhou (Computer Science, CCF-B), PDF.
• [Digital Economy and Sustainable Development’24] Determinants of Successful Mergers and Acquisitions in China: Evidence from Machine Learning. Shengdi Zhou, Faqin Lan, Zirui Hu, Yongting Liu (Economics, None), PDF.
• [Journal of Software’24] The Benchmarking Ability of HTAP Benchmarks. Siyang Weng, Rong Yu, Qingshuai Wang, Zirui Hu, Lv Ni, Rong Zhang, Xuan Zhou, Aoying Zhou, Quanqing Xu, Chuanhui Yang, Wei Liu, Panfei Yang (Computer Science, CCF-A CN), PDF.
• [Journal of Software’23] Data Sharing Model and Optimization Strategies in HTAP Database Systems. Zirui Hu, Siyang Weng, Qingshuai Wang, Rong Yu, Jinkai Xu, Rong Zhang, Xuan Zhou (Computer Science, CCF-A CN), PDF.
• WAITING FOR MORE …

📖 Educations

• 2022.09 - Now, PhD, Data Science and Engineering College, East China Normal University.
• 2019.09 - 2022.06, Undergraduate, Chinese Language and Literature College, East China Normal University.
• 2018.09 - 2022.06, Undergraduate, Software Engineering College, East China Normal University.
• 2015.09 - 2018.06, Siyang Middle School, Suqian.

📚 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.

🎙 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.

📑 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.

Please note, this PowerPoint is for personal learning use only. If there are any errors or omissions, your understanding is appreciated! More papers can be found in this repo.

🪐 Kind Visitors