Publications

  • 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]

  • 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]

  • 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]

  • 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]

  • 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]

Arxiv Preprints

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

  • 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
    [Paper]