publications

2025

1. NeurIPS 2025

   

   SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning

   Chen Chen, Majid Abdolshah, Violetta Shevchenko, Hongdong Li, Chang Xu, and Pulak Purkait

   In Neural Information Processing Systems (NeurIPS), 2025
2. CVPR 2025

   

   Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models

   Chen Chen, Daochang Liu, Mubarak Shah, and Chang Xu

   In Conference on Computer Vision and Pattern Recognition (CVPR), 2025

   Bib PDF Video Code Poster Slides

   @inproceedings{chen2025enhancing,
     title = {Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models},
     author = {Chen, Chen and Liu, Daochang and Shah, Mubarak and Xu, Chang},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2025},
   }

3. ICLR 2025Spotlight

   

   Exploring Local Memorization in Diffusion Models via Bright Ending Attention

   Chen Chen, Daochang Liu, Mubarak Shah, and Chang Xu

   In International Conference on Learning Representations (ICLR), 2025

   Spotlight Paper [Top 5.1%]

   Bib PDF Video Code Poster Slides

   Spotlight Paper [Top 5.1%]

   @inproceedings{chen2025exploring,
     award_name = {Spotlight},
     award = {<span style="color:#0066cc;font-weight:bold;">Spotlight Paper [Top 5.1%]</span>},
     title = {Exploring Local Memorization in Diffusion Models via Bright Ending Attention},
     author = {Chen, Chen and Liu, Daochang and Shah, Mubarak and Xu, Chang},
     booktitle = {International Conference on Learning Representations (ICLR)},
     year = {2025},
   }

4. ICLR 2025

   

   Investigating Memorization in Video Diffusion Models

   Chen Chen, Enhuai Liu, Daochang Liu, Mubarak Shah, and Chang Xu

   In ICLR Workshop on Navigating and Addressing Data Problems for Foundation Models (DATA-FM), 2025

   Bib PDF

   @inproceedings{chen2025investigating,
     title = {Investigating Memorization in Video Diffusion Models},
     author = {Chen, Chen and Liu, Enhuai and Liu, Daochang and Shah, Mubarak and Xu, Chang},
     booktitle = {ICLR Workshop on Navigating and Addressing Data Problems for Foundation Models (DATA-FM)},
     year = {2025},
   }

5. Preprint

   

   Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility

   Yutong Hao^*, Chen Chen^*, Ajmal Saeed Mian, Chang Xu, and Daochang Liu

   In Preprint. Under review., 2025

   *Equal contribution (co-first authors)

   Bib PDF

   @inproceedings{hao2025enhancing,
     title = {Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility},
     author = {Hao, Yutong and Chen, Chen and Mian, Ajmal Saeed and Xu, Chang and Liu, Daochang},
     booktitle = {Preprint. Under review.},
     year = {2025},
     note = {*Equal contribution (co-first authors)},
   }

2024

1. CVPR 2024

   

   Towards Memorization-Free Diffusion Models

   Chen Chen, Daochang Liu, and Chang Xu

   In Conference on Computer Vision and Pattern Recognition (CVPR), 2024

   Bib PDF Video Code Poster Slides

   @inproceedings{chen2024towards,
     title = {Towards Memorization-Free Diffusion Models},
     author = {Chen, Chen and Liu, Daochang and Xu, Chang},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2024},
   }

2023

1. CVPR 2023Highlight

   

   Private Image Generation with Dual-Purpose Auxiliary Classifier

   Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, and Chang Xu

   In Conference on Computer Vision and Pattern Recognition (CVPR), 2023

   Highlight Paper [Top 2.5%]

   Bib PDF Video Code Poster Slides

   Highlight Paper [Top 2.5%]

   @inproceedings{chen2023private,
     award_name = {Highlight},
     award = {<span style="color:#0066cc;font-weight:bold;">Highlight Paper [Top 2.5%]</span>},
     title = {Private Image Generation with Dual-Purpose Auxiliary Classifier},
     author = {Chen, Chen and Liu, Daochang and Ma, Siqi and Nepal, Surya and Xu, Chang},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2023},
   }