Short bio

I am a post-doctoral researcher working with Prof. Guoliang Li at Database group, Tsinghua University since July 2021.

I was awarded the Ph.D. degree in Computer Science, at University of Helsinki, Finland at June, 2021. I am very honored to have Prof. Jiaheng Lu as my Ph.D. supervisor. He is the leader of UDBMS group. Prior to joining UH, I spent a wonderful year at School of Information, Renmin University of China (RUC) for Ph.D. studies.

My current research topic focuses on performance benchmarking and optimization for cutting-edge data systems including HTAP databases, AI-Enhanced DBMSs, Cloud-Native Databases, and Big Data Systems.

News

[2024.4.18] I serve as a PC member for VLDB 2024 Tutorial Track.

[2024.4.13] Our HTAP survey has been accepted to TKDE 2024! Cheers!

[2023.12.25] I am honored to be invited as a Program Committee member of SIGMOD 2025!

[2023.12.18] Two papers got accepted: one is an HTAP benchmark paper in VLDB 2024, the other one is learned cardinality estimation study in SIGMOD 2024. Cheers!

[2023.3.6] I am honored to be invited as a Program Committee member of VLDB 2023 Tutorial Track! [Website]

[2023.2.17] One research paper about learned cardinality estimation got accepted at ICDE 2023! Cheers!

[2022.11.9] I am honored to be invited as a Program Committee member of SIGMOD 2024! [Website]

[2022.8.21] We will give a new tutorial at VLDB 2022! The title is “Cloud Databases: New Techniques, Challenges, and Opportunities”. See you at VLDB 2022! [Website]

[2022.4.18] I am honored to be invited as a Program Committee member of ICDE 2023! [Website]

[2022.3.10] We will give a new tutorial at SIGMOD 2022! The title is “HTAP Databases: What is New and What is Next”. See you at SIGMOD 2022! [Website]

Ph.D. Thesis

Chao Zhang, “Performance Benchmarking and Query Optimization for Multi-Model Databases”, Ph.D. Thesis, May, 2021.[Link][News]

Awards

Huawei Spark Award (2023)

Finland International Student Award (2018)

National Graduated Student Award (2014)

Selected Publications [Google Scholar][*: Corresponding Author]

• Chao Zhang, Guoliang Li*, Jintao Zhang, Xinning Zhang, Jianhua Feng. “HTAP Databases: A Survey”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. [Link][PrePrint]

• Chao Zhang, Guoliang Li*, Tao Lv. “HyBench: A New Benchmark for HTAP Databases”. In VLDB, 2024. [PDF][Code]

• Chao Zhang, Jiaheng Lu*. “Selectivity Estimation for Relation-Tree Joins”. In SSDBM, 2020:1-12. [Link]

• Chao Zhang, Jiaheng Lu*. “Holistic Evaluation in Multi-Model Databases Benchmarking”. In Distributed and Parallel Databases, 2019. [PDF]

• Chao Zhang, Jiaheng Lu*, Pengfei Xu, and Yuxing Chen. “UniBench: A Benchmark for Multi-Model Database Management Systems” In TPCTC, 2018. [PDF] [Slides][Code]

• Jintao Zhang, Chao Zhang*, Guoliang Li, Chengliang Chai. “PACE: Poisoning Attacks on Learned Cardinality Estimation”. In SIGMOD, 2024. [Link]

• Jintao Zhang, Chao Zhang*, Guoliang Li, Chengliang Chai. “AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation”. In ICDE, 2023. [PDF]

• Guoliang Li*, Chao Zhang. “HTAP Databases: What is New and What is Next”. In SIGMOD, 2022. [PDF] [Slides]

• Guoliang Li*, Haowen Dong, Chao Zhang. “Cloud Databases: New Techniques, Challenges, and Opportunities”. In VLDB, 2022. [Slides]

Academic Services

PC member for the following conferences:

• ACM SIGMOD 2024-2025

• VLDB 2023-2024 (Tutorial)

• IEEE ICDE 2023

• DASFAA 2023-2024

Contact

• cycchao@mail.tsinghua.edu.cn