| 2026 | ACL | How Large Language Models Balance Internal Knowledge with User and Document Assertions. | Shuowei Li, Haoxin Li, Wenda Chu, Yi Fang |
| 2025 | AAAI | COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks. | Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li |
| 2025 | CVPR | Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing. | Bingliang Zhang, Wenda Chu, Julius Berner, Chenlin Meng, Anima Anandkumar, Yang Song |
| 2025 | ICLR | InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. | Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue |
| 2024 | CVPR | Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. | Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar |
| 2023 | CVPR | Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. | Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu |
| 2022 | ICML | TPC: Transformation-Specific Smoothing for Point Cloud Models. | Wenda Chu, Linyi Li, Bo Li |