Bingliang Zhang

According to our database, Bingliang Zhang authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

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, April, 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

2024

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.

Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

STAP Performance Evaluation for Spaceborne Radar Systems with Different Clutter Distribution Models.

Fan Yang, Penghui Huang, Xin Li, Bingliang Zhang, Junli Chen, Peili Xi, Guozhong Chen, Xingzhao Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Ablating Concepts in Text-to-Image Diffusion Models.

Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Concept Customization of Text-to-Image Diffusion.

Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

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

2022

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization.

Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu

Proceedings of the Tenth International Conference on Learning Representations, 2022