1. FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
    Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, and Aviv Shamsian
    In CVPR, 2024
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    BOBA: Byzantine-Robust Federated Learning with Label Skewness
    Wenxuan Bao, Jun Wu, and Jingrui He
    In AISTATS, 2024


  1. atp.png
    Adaptive Test-Time Personalization for Federated Learning
    Wenxuan Bao, Tianxin WeiHaohan Wang, and Jingrui He
    In NeurIPS, 2023
  2. fedcollab.png
    Optimizing the Collaboration Structure in Cross-Silo Federated Learning
    Wenxuan Bao, Haohan WangJun Wu, and Jingrui He
    In ICML, 2023
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    Personalized Federated Learning with Parameter Propagation
    Jun Wu, Wenxuan Bao, Elizabeth Ainsworth, and Jingrui He
    In KDD, 2023
  4. Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
    Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, and Jingrui He
    SIGKDD Exploration Newsletter, 2023
  5. Understanding the Effect of Data Augmentation on Knowledge Distillation
    Ziqi Wang, Chi Han, Wenxuan Bao, and Heng Ji
    CoRR, 2023


  1. Deep Grouping Model for Unified Perceptual Parsing
    Zhiheng Li, Wenxuan Bao, Jiayang Zheng, and Chenliang Xu
    In CVPR, 2020