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 develops theoretically-grounded algorithms for large-scale data, with emphasis on sampling, indexing, and approximation. I value elegance in algorithms and depth in analysis — theory that tells you not just that something works, but why and when.

I’m also exploring data systems for LLM-based workloads, where new optimization objectives arise: token efficiency, retrieval quality for downstream reasoning, context-aware compression, and more. New problems, same philosophy.

I welcome discussions and collborations on database theory and algorithms, and on principled infrastructure for LLM-integrated systems. If any of the above resonates, I’d love to hear from you.

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)