Jinchao Huang

About Me

I am a Ph.D. candidate in the Database Group at The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Sibo Wang, since August 2023.

I earned my Bachelor’s degree from the University of Science and Technology of China (USTC) in July 2023.

From July 2025, I spent five months as a visiting student in the Data Systems Group at the University of Waterloo (UWaterloo), working with Prof. Xiao Hu.

My research focuses on theoretically-grounded algorithms and systems for managing large-scale and dynamic data, with particular emphasis on sampling, indexing, and approximation. In parallel, I am beginning to explore data management for AI agents and autonomous systems. This emerging direction is motivated by the observation that agents interact with data in fundamentally different ways than human users, calling for new abstractions and system designs.

Looking ahead, my goal is to develop principled data management foundations that support both traditional data-intensive applications and emerging agent-centric workloads.

I welcome discussions and collaborations in database theory and algorithms, as well as in data systems for AI agents.

Publications

In papers marked with “**”, authors are ordered alphabetically, following the convention of theoretical computer science. The ‘#’ symbol indicates equal contribution.

• **Acyclic Join Sampling under Selections: Dichotomy, Union Sampling, and Enumeration.

  Joint work with Yufei Tao and Sibo Wang.

  Proceedings of the 29th International Conference on Database Theory (ICDT), 2026.
• DIPS: Optimal Dynamic Index for Poisson πps Sampling.

  Jinchao Huang, Sibo Wang.

  Proceedings of the 31st ACM International Conference On Knowledge Discovery and Data Mining (SIGKDD), 2025.
• Efficient Concurrent Updates to Persistent Randomized Binary Search Trees.

  Guanhao Hou, Jinchao Huang, Fangyuan Zhang, Sibo Wang.

  Proceedings of the VLDB Endowment (PVLDB), 2025.
• Efficient Approximation Framework for Attribute Recommendation.

  Xingguang Chen, Fangyuan Zhang, Jinchao Huang, Sibo Wang.

  Proceedings of the ACM on Management of Data (SIGMOD), 2024.
• FICOM: An Effective and Scalable Active Learning Framework for GNNs on Semi-supervised Node Classification.

  Xingyi Zhang#, Jinchao Huang#, Fangyuan Zhang, Sibo Wang.

  International Journal on Very Large Data Bases (VLDBJ), 2024.
• Subset Sampling and Its Extensions.

  Jinchao Huang, Sibo Wang.

  Preprint.

Selected Awards

• KDD Travel Award 2025.
• Overseas Research Attachment Programme Scholarship, CUHK.
• Provost's Strategic Allocation of Centrally-Funded RPg Places, CUHK.
• Elite (Honor) Class Scholarship, USTC.
• Outstanding Student Scholarship, USTC.

Services

• Reviewer or subreviewer of SIGMOD, SIGKDD, ICDE, TKDE.
• Student volunteer of VLDB 2024.

Teaching

• TA of SEEM5020: Algorithms for Big Data (postgraduate, 2026 Spring@CUHK)
• TA of FTEC4005: Financial Informatics (undergraduate, 2024 Fall@CUHK)
• TA of FTEC4003: Data Mining for FinTech (undergraduate, 2023 Fall@CUHK)
• TA of CSCI2100C/D: Data Structures (undergraduate, 2025-2026 Spring@CUHK)
• Special TA (2024 Spring@CUHK)