---

I recevied my PhD in 2025 from 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. I am always open for possible collaborations, please do not hesitate to contact me if you are interested!

---

• Research Intern, Alibaba
  Hangzhou, China, Jul 2024 - Present
  Topic: Algorithms in vector database. Advised by researcher Wenchao Zhou.
• Research Intern, Microsoft Research Asia
  Beijing, China, Jul 2020 - Jan 2021
  Advised by researcher Bin Zhu.
• Security Research Intern, Tencent
  Shanghai, China, Jul 2019 - Sep 2019
  Advised by researcher Tianyi Xie.

---

• Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search.
  Fangyuan Zhang, Mengxu Jiang, Guanhao Hou, Jieming Shi, Hua Fan, Wenchao Zhou, Feifei Li, Sibo Wang
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), to appear, 2025.
• DIGRA: A Dynamic Graph Indexing for Approximate Nearest Neighbor Search with Range Filter.
  Mengxu Jiang, Zhi Yang, Fangyuan Zhang, Guanhao Hou, Jieming Shi, Wenchao Zhou, Feifei Li, Sibo Wang
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), to appear, 2025.
• Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee.
  Chen Feng, Xingguang Chen, Qintian Guo, Fangyuan Zhang, Sibo Wang
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2(4), 197:1-197:26, 2025.
• Efficient Concurrent Updates to Persistent Randomized Binary Search Trees.
  Guanhao Hou, Jinchao Huang, Fangyuan Zhang, Sibo Wang
  Proceedings of the VLDB Endowment (VLDB), to appear, 2025.
• 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), 33(5): 1723-1742, 2024.
• 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.
• 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.
• 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.
• 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.
• 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.
• Effective Indexing for Dynamic Structural Graph Clustering
  Fangyuan Zhang, Sibo Wang
  Proceedings of the VLDB Endowment (PVLDB), 15(11): 2908-2920, 2022
• 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.