publications

2025

  1. AdaRC: Mitigating Graph Structure Shift during Test-Time
    Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, and Jingrui He
    In ICLR, 2025
  2. Ask, and it shall be given: Turing completeness of prompting
    Ruizhong Qiu, Zhe Xu, Wenxuan Bao, and Hanghang Tong
    In ICLR, 2025
  3. Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
    Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, and Jingrui He
    In KDD, 2025

2024

  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
  2. boba.png
    BOBA: Byzantine-Robust Federated Learning with Label Skewness
    Wenxuan Bao, Jun Wu, and Jingrui He
    In AISTATS, 2024

2023

  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
  3. fedora.png
    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

2020

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