Publications [Google Scholar]

*: Equal contributions;   : Corresponding author.

Conference Paper

1. External Knowledge Injection for CLIP-Based Class-Incremental Learning
   Da-Wei Zhou, Kai-Wen Li, Jingyi Ning, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan
   International Conference on Computer Vision (ICCV), 2025
   Paper       Code
   
2. Integrating Task-Specific and Universal Adapters for Pre-Trained Model-Based Class-Incremental Learning
   Yan Wang, Da-Wei Zhou, Han-Jia Ye
   International Conference on Computer Vision (ICCV), 2025
   Paper       Code
   
3. Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
   Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan
   The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
   Paper       Code
   
4. Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
   Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
   The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
   Paper       Code
   
5. Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
   Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
   International Conference on Machine Learning. (ICML), 2025
   Paper       Code
   
6. Parrot: Multilingual Visual Instruction Tuning
   Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
   International Conference on Machine Learning. (ICML), 2025
   Paper       Code
   
7. A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models
   Da-Wei Zhou, Han-Jia Ye
   The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025
   Paper       Project Page
   
8. MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
   Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye
   The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
   Paper      Code
   
9. Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
   Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan
   The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
   Paper      Code
   
10. Continual Learning with Pre-Trained Models: A Survey
    Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
    The 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
    Paper       Code
    
11. Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
    Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    The 41st International Conference on Machine Learning (ICML), 2024
    Paper       Code
    
12. A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
    Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
    The 11th International Conference on Learning Representations (ICLR), 2023
    Spotlight Presentation
    Paper      Code
    
13. Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
    Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
    The 37th Conference on Neural Information Processing Systems (NeurIPS), 2023
    Paper      Code
    
14. BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
    Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Yatao Bian, Han-Jia Ye, De-Chuan Zhan, Peilin Zhao
    The 11th International Conference on Learning Representations (ICLR), 2023
    Paper      Code
    
15. Preserving Locality in Vision Transformers for Class Incremental Learning
    Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    IEEE International Conference on Multimedia and Expo (ICME), 2023
    Paper       Code
    
16. Forward Compatible Few-Shot Class-Incremental Learning
    Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    Paper       Code
    
17. FOSTER: Feature Boosting and Compression for Class-Incremental Learning
    Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    European Conference on Computer Vision (ECCV), 2022
    Paper       Code
    
18. Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation
    Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    The 23rd Conference of the International Speech Communication Association (INTERSPEECH), 2022
    Paper       Code
    
19. Learning Placeholders for Open-Set Recognition
    Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    Oral Presentation
    Paper       Code
    
20. Co-Transport for Class-Incremental Learning
    Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    The 29th ACM International Conference on Multimedia (ACM MM), 2021
    Paper       Code
    
21. Detecting Sequentially Novel Classes with Stable Generalization Ability
    Da-Wei Zhou, Yang Yang, De-Chuan Zhan
    The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021
    Paper
    
22. Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability
    Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang
    The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019
    Paper       Code
    

Journal Article

1. Learning without Forgetting for Vision-Language Models
   Da-Wei Zhou, Yuanhan Zhang, Yan Wang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 47(6): 4489-4504 (2025)
   Paper       Code
   
2. Class-Incremental Learning: A Survey
   Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(12): 9851-9873 (2024)
   TPAMI Popular Documents
   Paper       Code
   
3. Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
   Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(11): 12816-12831 (2023)
   ESI Highly Cited Paper
   Paper       Code
   
4. Contextualizing Meta-Learning via Learning to Decompose
   Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(1): 117-133 (2024)
   Paper       Code
   
5. Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
   Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
   International Journal of Computer Vision (IJCV), 133, 1012–1032 (2025)
   Paper       Code
   
6. PyCIL: A Python Toolbox for Class-Incremental Learning
   Da-Wei Zhou*, Fu-Yun Wang*, Han-Jia Ye, De-Chuan Zhan
   SCIENCE CHINA Information Sciences (SCIS), 66(9): 19701 (2023)
   Paper       Code
   
7. PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
   Hai-Long Sun, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
   SCIENCE CHINA Information Sciences (SCIS), 68(4): 147101 (2025)
   Paper       Code
   
8. Cost-Effective Incremental Deep Model: Matching Model Capacity with the Least Sampling
   Yang Yang*, Da-Wei Zhou*, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang
   IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(4): 3575-3588 (2023)
   Paper       Code
   
9. RF-Badge: Vital Sign-based Authentication via RFID Tag Array on Badges
   Jingyi Ning, Lei Xie, Chuyu Wang, Yanling Bu, Fengyuan Xu, Da-Wei Zhou, Baoliu Ye, Sanglu Lu
   IEEE Transactions on Mobile Computing (TMC), 22(2): 1170-1184 (2023)
   Paper
   
10. Learning to Classify with Incremental New Class
    Da-Wei Zhou, Yang Yang, De-Chuan Zhan
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 33(6): 2429-2443 (2022)
    Paper
    
11. TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen
    Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
    Frontiers of Computer Science (FCS), 18(5): 185349 (2024)
    Paper       Data
    
12. Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
    Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan
    Machine Learning (MLJ), 114(68), (2025)
    Paper       Code
    
13. Towards Continual Learning of Foundation Models
    Xiao-Long Yin, Da-Wei Zhou, De-Chuan Zhan
    Frontiers of Computer Science (FCS), in press.
    Paper      
    

Domestic Paper

1. 基于深度学习的类别增量学习算法综述
   周大蔚, 汪福运, 叶翰嘉, 詹德川
   计算机学报, 46(8): 1577-1605 (2023)
   Paper       Code
   

Preprints

1. Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
   Zhen-Hao Wen, Yan Wang, Ji Feng, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou
   arXiv 2025
   Paper      
   
2. The Lie of the Average: How Class Incremental Learning Evaluation Deceives You?
   Guannan Lai, Da-Wei Zhou, Xin Yang, Han-Jia Ye
   arXiv 2025
   Paper       Code
   
3. LW2G: Learning Whether to Grow for Prompt-based Continual Learning
   Qian Feng, Da-Wei Zhou, Hanbin Zhao, Chao Zhang, Hui Qian
   arXiv 2024
   Paper       Code
   
4. Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data
   Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye
   arXiv 2023
   Paper