Chao Zhang

According to our database, Chao Zhang authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking.

Yan Zhou, Chunwei Liu, Bhuvan Urgaonkar, Zhengle Wang, Magnus Mueller, Chao Zhang, Songyue Zhang, Pascal Pfeil, Dominik Horn, Zhengchun Liu, Davide Pagano, Tim Kraska, Samuel Madden, Ju Fan

Proc. VLDB Endow., July, 2025

TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes.

Chao Zhang, Shaolei Zhang, Quehuan Liu, Sibei Chen, Tong Li, Ju Fan

CoRR, May, 2025

CloudyBench: A Testbed for A Comprehensive Evaluation of Cloud-Native Databases.

Chao Zhang, Guoliang Li, Leyao Liu, Tao Lv, Ju Fan

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Cloud-Native Databases: A Survey.

Haowen Dong, Chao Zhang, Guoliang Li, Huanchen Zhang

IEEE Trans. Knowl. Data Eng., December, 2024

HTAP Databases: A Survey.

Chao Zhang, Guoliang Li, Jintao Zhang, Xinning Zhang, Jianhua Feng

IEEE Trans. Knowl. Data Eng., November, 2024

Multi-model query languages: taming the variety of big data.

Qingsong Guo, Chao Zhang, Shuxun Zhang, Jiaheng Lu

Distributed Parallel Databases, March, 2024

PACE: Poisoning Attacks on Learned Cardinality Estimation.

Jintao Zhang, Chao Zhang, Guoliang Li, Chengliang Chai

Proc. ACM Manag. Data, February, 2024

HyBench: A New Benchmark for HTAP Databases.

Chao Zhang, Guoliang Li, Tao Lv

Proc. VLDB Endow., January, 2024

2023

AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation.

Jintao Zhang, Chao Zhang, Guoliang Li, Chengliang Chai

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Cloud Databases: New Techniques, Challenges, and Opportunities.

Guoliang Li, Haowen Dong, Chao Zhang

Proc. VLDB Endow., 2022

HTAP Databases: What is New and What is Next.

Guoliang Li, Chao Zhang

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Performance Benchmarking and Query Optimization for Multi-Model Databases.

Chao Zhang

PhD thesis, 2021

Holistic evaluation in multi-model databases benchmarking.

Chao Zhang, Jiaheng Lu

Distributed Parallel Databases, 2021

Automatic View Selection in Graph Databases.

Chao Zhang, Jiaheng Lu, Qingsong Guo, Xinyong Zhang, Xiaochun Han, Minqi Zhou

Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

2020

Selectivity Estimation for Relation-Tree Joins.

Chao Zhang, Jiaheng Lu

Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020

Multi-Model Data Query Languages and Processing Paradigms.

Qingsong Guo, Jiaheng Lu, Chao Zhang, Calvin Sun, Steven Yuan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Orbital Angular Momentum Microwave Generated by Free Electron Beam.

Pengfei Xu, Chao Zhang

Proceedings of the Communications and Networking, 2019

2018

UniBench: A Benchmark for Multi-model Database Management Systems.

Chao Zhang, Jiaheng Lu, Pengfei Xu, Yuxing Chen

Proceedings of the Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 2018

UDBMS: Road to Unification for Multi-model Data Management.

Jiaheng Lu, Zhen Hua Liu, Pengfei Xu, Chao Zhang

Proceedings of the Advances in Conceptual Modeling, 2018