About Me

I am a Ph.D. Candidate at the School of Computer Science, Fudan University, where I work under the supervision of Prof. Yu-Gang Jiang (IEEE Fellow) and Prof. Zuxuan Wu. Before this, I received my BS degree from the University of Michigan. My research centers on computer vision, with particular emphasis on transfer learning and continual learning. In the long term, I seek to extend continual learning principles to broader AI systems and tasks, as I believe this represents a crucial step toward achieving artificial general intelligence. If you are interested in potential collaborations, please feel free to email me.

News

  • 2025.11: One paper accepted at AAAI 2026 (Oral)!
  • 2025.09: One paper accepted at NeurIPS 2025!
  • 2025.06: One paper accepted at ICCV 2025!
  • 2025.02: One paper accepted at CVPR 2025!
  • 2025.01: One paper accepted at ICLR 2025!
  • 2024.05: One paper accepted at ECCV 2024!
  • 2023.09: One paper accepted at NeurIPS 2023!

Publications

  • Human2Robot: Learning Robot Actions from Paired Human-Robot Videos
    Sicheng Xie, Haidong Cao, Zejia Weng, Zhen Xing, Haoran Chen, Shiwei Shen, Jiaqi Leng, Zuxuan Wu, Yu-Gang Jiang, 2026
    The Association for the Advancement of Artificial Intelligence (AAAI), 2026
    [Paper]

  • Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
    Haoran Chen, Ping Wang, Zihan Zhou, Xu Zhang, Zuxuan Wu, Yu-Gang Jiang
    International Conference on Computer Vision (ICCV), 2025
    [Paper] [Code]

  • ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
    Zhihao Sun, Haoran Jiang, Haoran Chen, Yixin Cao, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
    Neural Information Processing Systems (NeurIPS), 2025
    [Paper]

  • EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation
    Zihao Zhang, Haoran Chen, Haoyu Zhao, Guansong Lu, Yanwei Fu, Hang Xu, Zuxuan Wu
    The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
    [Paper] [Code]

  • Adaptive Retention & Correction: Test-Time Training for Continual Learning
    Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang
    International Conference on Learning Representations (ICLR), 2025
    [Paper] [Code]

  • PromptFusion: Decoupling Stability and Plasticity for Continual Learning
    Haoran Chen, Xintong Han, Menglin Jia, Zuxuan Wu, Yu-Gang Jiang
    European Conference on Computer Vision (ECCV), 2024
    [Paper] [Code]

  • A Survey on Video Diffusion Models
    Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang
    ACM Computing Survey (CSUR, IF=23.8), 2024
    [Paper]

  • Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
    Haoran Chen, Xintong Han, Zuxuan Wu, Yu-Gang Jiang
    Neural Information Processing Systems (NeurIPS), 2023
    [Paper] [Code]

Arxiv Preprints

  • Multi-Prompt Progressive Alignment for Multi-Source Unsupervised Domain Adaptation
    Haoran Chen, Zexiao Wang, Haidong Cao, Zuxuan Wu, Yu-Gang Jiang
    [Paper]