Fangyuan ZHANG
Email:zzzzzfy@outlook.com
About Me

I am a Ph.D. Candidate at Database Group of the Chinese University of Hong Kong advised by Professor Sibo WANG. Previously, I obtained my Bachelor degree from ACM Class at Shanghai Jiao Tong University in 2021.

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

Experience

Publications

  1. 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), to appear, 2024.
  2. Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks
    Fangyuan Zhang, Dechuang Chen, Sibo Wang, Yin Yang, Junhao Gan
    Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 259:1-259:26, 2024.
  3. Efficient Approximation Framework for Attribute Recommendation
    Xingguang Chen, Fangyuan Zhang, Jinchao Huang, Sibo Wang
    Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 239:1-239:26, 2024.
  4. Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach.
    Qintian Guo, Chen Feng, Fangyuan Zhang, Sibo Wang
    Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), , 207:1-207:26, 2024.
  5. Efficient Dynamic Weighted Set Sampling and Its Extension
    Fangyuan Zhang, Mengxu Jiang, Sibo Wang
    Proceedings of the VLDB Endowment (PVLDB), 17(1): 15-27, 2024.
  6. 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), 1(1): 25:1-25:26, 2023.
  7. Effective Indexing for Dynamic Structural Graph Clustering
    Fangyuan Zhang, Sibo Wang
    Proceedings of the VLDB Endowment (PVLDB), 15(11): 2908-2920, 2022
  8. 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.
Services

    I am/was also the invited reviewer for the following conferences/journals:
  • ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE International Conference on Data Engineering (ICDE)
Invited Talks

  • Sampling algorithms for big data analytics. 2024@USTC
Selected Awards

  • VLDB Travel Award, VLDB, 2024
  • 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