About Me

I am a third-year Ph.D. candidate in the Data Science and Analytics Thrust, at The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Wei Wang and co-supervised by Prof. Lei Li.

Research Interests

My research focuses on vector databases, particularly vector similarity search. My interests include techniques such as graph-based vector index and vector quantization technology, as well as integrating complex queries with vector databases.

(This webpage was last updated on Mar 1, 2025)

Publications

  • Elastic Index Select for Label-Hybrid Search in Vector Database
    Mingyu Yang, Wenxuan Xia, Wentao Li, Raymond Chi-Wing Wong, Wei Wang.
    Pre-Print [pdf] [bibtex]

  • ESG: Elastic Graphs for Range-Filtering Approximate k-Nearest Neighbor Search
    Mingyu Yang, Wentao Li, Zhitao Shen, Chuan Xiao, Wei Wang.
    Pre-Print [pdf] [bibtex]

  • Effective and General Distance Computation for Approximate Nearest Neighbor Search
    Mingyu Yang, Wentao Li, Jiabao Jin, Xiaoyao Zhong, Xiangyu Wang, Zhitao Shen, Wei Jia, Wei Wang.
    ICDE-2025 [pdf] [bibtex] DDC&BSA

  • Fast High-dimensional Approximate Nearest Neighbor Search with Efficient Index Time and Space
    Mingyu Yang, Wentao Li, Wei Wang.
    Pre-Print [pdf] [bibtex]

  • Querying Numeric-Constrained Shortest Distances on Road Networks
    Mingyu Yang, Wentao Li, Wei Wang, Dong Wen, Lu Qin.
    ICDE-2024 [pdf] [bibtex]

Education

Awards

  • CCCC National First Prize
  • ACM-ICPC Gold Medal
  • Outstanding Student of Tianjin University

Teaching Assistant

  • FUNH5010: Introduction to Materials Informatics. (Spring 2023)
  • UFUD2601: C++ Programming. (Fall 2024)

Academic Service

  • Conference External Reviewer: ICDE’23, 24, 25, VLDB’24, NeurIPS’24, SIGIR’ 24.