Zhaomin Wu

Research Fellow. National University of Singapore. zhaomin@nus.edu.sg


Dr. Zhaomin Wu is currently a postdoctoral research fellow at the Institute of Data Science, National University of Singapore. He obtained his Ph.D. from the Department of Computer Science at the National University of Singapore (NUS) in 2024, supervised by Prof. Bingsheng He. He earned his Bachelor’s degree at Huazhong University of Science and Technology (HUST) in 2019. His research interests are focused on privacy-preserving machine learning, including federated learning, machine unlearning, and differential privacy. In 2023, he received the Dean’s Graduate Research Excellence Award from NUS.

I am actively seeking for PostDoc opportunities in the United States.


May 30, 2024 Our paper “DeltaBoost: Gradient Boosted Trees with Efficient Machine Unlearning” has been awarded the Honorable Mention for the Best Artifact in SIGMOD 2023.
May 03, 2024 I have passed my Ph.D. defense! 🎉

selected publications

  1. ICLR 2024
    VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
    Zhaomin Wu, Junyi Hou, and Bingsheng He
    In The Twelfth International Conference on Learning Representations , 2024
  2. SIGMOD 2023
    DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning
    Zhaomin Wu, Junhui Zhu, Qinbin Li, and Bingsheng He
    Proc. ACM Manag. Data, 2023
  3. NeurIPS 2022
    A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
    Zhaomin Wu, Qinbin Li, and Bingsheng He
    In Advances in Neural Information Processing Systems , 2022