| 2026 | AAAI | Panda: Test-Time Adaptation with Negative Data Augmentation. | Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He |
| 2026 | AsiaCCS | Uncovering the Deceptive Tactics of Stalkerware: A Large Scale Measurement Study. | Malvika Jadhav, Wenxuan Bao, Vincent Bindschaedler |
| 2026 | WWW | FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. | Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He |
| 2025 | ACSAC | Enabling Plausible Deniability in Flash-based Storage through Data Permutation. | Weidong Zhu, Wenxuan Bao, Vincent Bindschaedler, Sara Rampazzi, Kevin R. B. Butler |
| 2025 | ICCV | Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. | Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He |
| 2025 | ICLR | Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation. | Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He |
| 2025 | ICLR | Ask, and it shall be given: On the Turing completeness of prompting. | Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong |
| 2025 | KDD | Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. | Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He |
| 2025 | SP | Inference Attacks for X-Vector Speaker Anonymization. | Luke A. Bauer, Wenxuan Bao, Malvika Jadhav, Vincent Bindschaedler |
| 2024 | ACSAC | R+R: Towards Reliable and Generalizable Differentially Private Machine Learning. | Wenxuan Bao, Vincent Bindschaedler |
| 2024 | AISTATS | BOBA: Byzantine-Robust Federated Learning with Label Skewness. | Wenxuan Bao, Jun Wu, Jingrui He |
| 2024 | CVPR | FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. | Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian |
| 2023 | ICML | Optimizing the Collaboration Structure in Cross-Silo Federated Learning. | Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He |
| 2023 | KDD | Personalized Federated Learning with Parameter Propagation. | Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He |
| 2020 | CVPR | Deep Grouping Model for Unified Perceptual Parsing. | Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu |