Fangyuan ZHANG
About Me

Fangyuan ZHANG is a Ph.D. Student at Database Group of the Chinese University of Hong Kong advised by Professor Sibo WANG. Previously, he obtained his Bachelor's degree from ACM Class at Shanghai Jiao Tong University in 2021.

His research interests include algorithms for big data analytics and processing.



  1. Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme
    Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei
    Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), to appear, 2023.
  2. Effective Indexing for Dynamic Structural Graph Clustering
    Fangyuan Zhang, Sibo Wang
    Proceedings of the VLDB Endowment (PVLDB), 15(11): 2908-2920, 2022
  3. Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling
    Xingguang Chen, Fangyuan Zhang, Sibo Wang
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 157-167, 2022.
Selected Awards

  • Shanghai Jiao Tong University Scholarship, SJTU, 2017-2021
  • Zhiyuan Honorary Scholarship, SJTU, 2017-2021
  • Silver Medal, National Olympiad in Informatics (NOI), 2016
Teaching Experience

  • TA of Data Structures, 2022 Spring@CUHK
  • TA of Financial Informatics, 2021fall@CUHK
  • TA of Data Structures, 2018fall@SJTU