publications

2025

  1. ICLR (Spotlight)
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    InverseBench: Benchmarking Plug-and-Play Diffusion Models for Scientific Inverse Problems
    Hongkai ZhengWenda ChuBingliang ZhangZihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, and 3 more authors
    In The Thirteenth International Conference on Learning Representations , 2025

2024

  1. CVPR
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    Improving diffusion inverse problem solving with decoupled noise annealing
    Bingliang ZhangWenda Chu, Julius Berner, Chenlin Meng, Anima Anandkumar, and Yang Song
    arXiv preprint arXiv:2407.01521, 2024
  2. NeurIPS
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    Principled probabilistic imaging using diffusion models as plug-and-play priors
    Zihui Wu, Yu Sun, Yifan Chen , Bingliang ZhangYisong Yue, and Katherine Bouman
    Advances in Neural Information Processing Systems, 2024

2023

  1. CVPR
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    Multi-concept customization of text-to-image diffusion
    Nupur KumariBingliang ZhangRichard ZhangEli Shechtman, and Jun-Yan Zhu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023
  2. ICCV
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    Ablating concepts in text-to-image diffusion models
    Nupur KumariBingliang Zhang, Sheng-Yu Wang, Eli ShechtmanRichard Zhang, and Jun-Yan Zhu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023

2021

  1. ICLR
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    Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
    Zihan Zhou, Wei Fu , Bingliang Zhang , and Yi Wu
    In International Conference on Learning Representations , 2021