Bao, Wenxuan

11 publications

TMLR 2026 Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

ICLR 2025 Ask, and It Shall Be Given: On the Turing Completeness of Prompting Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong

NeurIPS 2025 Deep Learning with Plausible Deniability Wenxuan Bao, Shan Jin, Hadi Abdullah, Anderson C. A. Nascimento, Vincent Bindschaedler, Yiwei Cai

ICCV 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He

ICLR 2025 Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

NeurIPS 2025 Mint: A Simple Test-Time Adaptation of Vision-Language Models Against Common Corruptions Wenxuan Bao, Ruxi Deng, Jingrui He

AISTATS 2024 BOBA: Byzantine-Robust Federated Learning with Label Skewness Wenxuan Bao, Jun Wu, Jingrui He

CVPR 2024 FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian

NeurIPS 2023 Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He

NeurIPS 2023 DP-Mix: Mixup-Based Data Augmentation for Differentially Private Learning Wenxuan Bao, Francesco Pittaluga, B G Vijay Kumar, Vincent Bindschaedler

ICML 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He