Zhaomin Wu

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

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Dr. Zhaomin Wu (吴肇敏) is a postdoctoral research fellow at the Institute of Data Science, National University of Singapore. He completed his Ph.D. in Computer Science at the National University of Singapore (NUS) in 2024 advised by Prof. Bingsheng He. He received his Bachelor’s degree from Huazhong University of Science and Technology (HUST) in 2019.

Dr. Wu’s research focuses on privacy-preserving machine learning and data mining, with specific interests in federated learning, machine unlearning, and knowledge transfer. He has been honored with the Dean’s Graduate Research Excellence Award and an Honorable Mention for Best Ph.D. Thesis Award. His work has been published in top-tier conferences and journals, including NeurIPS, ICLR, SIGMOD, AAAI, MLSys, and TKDE.

news

Sep 28, 2024 We have one paper Federated Transformer accepted by NeurIPS 2024!
Jul 02, 2024 I have been honorably mentioned for the School of Computing (SoC) Computer Science (CS) PhD Thesis Award, ranking top five among all applicants.
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! 🎉
Jan 16, 2024 We have one paper VertiBench accepted by ICLR 2024!
Aug 10, 2023 I have received the Dean’s Research Achievement Award from School of Computing, NUS. 🎉

selected publications

  1. NeurIPS 2024
    Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
    Zhaomin Wu, Junyi Hou, Yiqun Diao, and Bingsheng He
    In Advances in Neural Information Processing Systems, 2024
  2. 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
  3. 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
  4. 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