Wenda Chu

According to our database, Wenda Chu authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

How Large Language Models Balance Internal Knowledge with User and Document Assertions.

Shuowei Li, Haoxin Li, Wenda Chu, Yi Fang

CoRR, April, 2026

2025

Discrete Diffusion Trajectory Alignment via Stepwise Decomposition.

Jiaqi Han, Austin Wang, Minkai Xu, Wenda Chu, Meihua Dang, Yisong Yue, Stefano Ermon

CoRR, July, 2025

Steering Generative Models with Experimental Data for Protein Fitness Optimization.

Jason Yang, Wenda Chu, Daniel Khalil, Raul Astudillo, Bruce J. Wittmann, Frances H. Arnold, Yisong Yue

CoRR, May, 2025

Split Gibbs Discrete Diffusion Posterior Sampling.

Wenda Chu, Yang Song, Yisong Yue

CoRR, March, 2025

Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.

Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue

Trans. Mach. Learn. Res., 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing.

Bingliang Zhang, Wenda Chu, Julius Berner, Chenlin Meng, Anima Anandkumar, Yang Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks.

Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees.

Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.

Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

CoRR, 2023

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling.

Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Distributed Robust Principal Analysis.

Wenda Chu

CoRR, 2022

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data.

Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li

CoRR, 2022

TPC: Transformation-Specific Smoothing for Point Cloud Models.

Wenda Chu, Linyi Li, Bo Li

Proceedings of the International Conference on Machine Learning, 2022