Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization. - Zihan Zhou 002; Wei Fu; Bingliang Zhang; Yi Wu 013 (ICLR, 2022)

Multi-Concept Customization of Text-to-Image Diffusion. - Nupur Kumari; Bingliang Zhang; Richard Zhang 001; Eli Shechtman; Jun-Yan Zhu (CVPR, 2023)

Ablating Concepts in Text-to-Image Diffusion Models. - Nupur Kumari; Bingliang Zhang; Sheng-Yu Wang; Eli Shechtman; Richard Zhang 001; Jun-Yan Zhu (ICCV, 2023)

STAP Performance Evaluation for Spaceborne Radar Systems with Different Clutter Distribution Models. - Fan Yang 054; Penghui Huang; Xin Li 005; Bingliang Zhang; Junli Chen; Peili Xi; Guozhong Chen; Xingzhao Liu (IGARSS, 2023)

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. - Zihui Wu; Yu Sun 022; Yifan Chen; Bingliang Zhang; Yisong Yue; Katherine L. Bouman (NeurIPS, 2024)

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing. - Bingliang Zhang; Wenda Chu; Julius Berner; Chenlin Meng; Anima Anandkumar; Yang Song 011 (CVPR, 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 022; Nikola Borislavov Kovachki; Zachary E. Ross; Katherine L. Bouman; Yisong Yue (ICLR, 2025)

STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors. - Bingliang Zhang; Zihui Wu; Berthy T. Feng; Yang Song; Yisong Yue; Katherine L. Bouman (CoRR, 2025)