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]