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


  1. 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
  2. MLSys 2023
    FedTree: A Federated Learning System For Trees
    Qinbin Li, Zhaomin Wu, Yanzheng Cai, yuxuan han, Ching Man Yung, and 2 more authors
    In Proceedings of Machine Learning and Systems , 2023
  3. TKDE 2023
    A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
    Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, and 3 more authors
    IEEE Transactions on Knowledge & Data Engineering, 2023


  1. 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
  2. TBD 2022
    Practical Vertical Federated Learning with Unsupervised Representation Learning
    Zhaomin Wu, Qinbin Li, and Bingsheng He
    IEEE Transactions on Big Data, 2022
  3. TIST 2022
    The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
    Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, and 1 more author
    ACM Trans. Intell. Syst. Technol., 2022


  1. AAAI 2020
    Privacy-Preserving Gradient Boosting Decision Trees
    Qinbin Li, Zhaomin Wu, Zeyi Wen, and Bingsheng He
    In The Thirty-Fourth AAAI Conference on Artificial Intelligence , 2020