Publications [Google Scholar]

*: Equal contributions;   : Corresponding author.

Conference Paper

1. SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning
   Zhen-Hao Xie, Jun-Tao Tang, Yu-Cheng Shi, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou
   International Conference on Machine Learning. (ICML), 2026
   Paper       Code
   
2. AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
   Zhen-Hao Xie, Yu-Cheng Shi, Da-Wei Zhou
   International Conference on Machine Learning. (ICML), 2026
   Paper       Code
   
3. HypCL: Adapting CLIP in Hyperbolic Space for Continual Learning
   Quan Cheng, Hao Yu, Da-Wei Zhou, Lijun Zhang
   International Conference on Machine Learning. (ICML), 2026
   Paper      
   
4. The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation
   Guannan Lai, Da-Wei Zhou, Zhenguo Li, Han-Jia Ye
   The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
   Paper       Code
   
5. The Lie of the Average: How Class Incremental Learning Evaluation Deceives You?
   Guannan Lai, Da-Wei Zhou, Xin Yang, Han-Jia Ye
   International Conference on Learning Representations (ICLR), 2026
   Paper       Code
   
6. CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning
   Jun-Tao Tang, Zhen-Hao Xie, Yu-Cheng Shi, Da-Wei Zhou
   Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
   Paper       Code
   
7. BOFA: Orthogonal Low-Rank Bridge-Layer Fusion for CLIP-Based Class-Incremental Learning
   Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye, De-Chuan Zhan
   AAAI Conference on Artificial Intelligence. (AAAI), 2026
   Paper       Code
   
8. 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
   
9. 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
   
10. 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
    
11. 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
    
12. 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
    
13. 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
    
14. A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models
    Da-Wei Zhou, Han-Jia Ye
    International Joint Conference on Artificial Intelligence (IJCAI), 2025
    Paper       Project Page
    
15. 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
    AAAI Conference on Artificial Intelligence (AAAI), 2025
    Paper      Code
    
16. 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
    
17. Continual Learning with Pre-Trained Models: A Survey
    Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
    International Joint Conference on Artificial Intelligence (IJCAI), 2024
    Paper       Code
    
18. Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
    Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    International Conference on Machine Learning (ICML), 2024
    Paper       Code
    
19. A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
    Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
    International Conference on Learning Representations (ICLR), 2023
    Spotlight Presentation
    Paper      Code
    
20. 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
    Conference on Neural Information Processing Systems (NeurIPS), 2023
    Paper      Code
    
21. 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
    International Conference on Learning Representations (ICLR), 2023
    Paper      Code
    
22. 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
    
23. 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
    
24. 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
    
25. Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation
    Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    Conference of the International Speech Communication Association (INTERSPEECH), 2022
    Paper       Code
    
26. 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
    
27. Co-Transport for Class-Incremental Learning
    Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    ACM International Conference on Multimedia (ACM MM), 2021
    Paper       Code
    
28. Detecting Sequentially Novel Classes with Stable Generalization Ability
    Da-Wei Zhou, Yang Yang, De-Chuan Zhan
    Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021
    Paper
    
29. Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability
    Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019
    Paper       Code
    

Journal Article

1. A Sc2C2@C88 cluster based ultra-compact multi-level probabilistic bit for matrix multiplication
   Haoran Qi, Guohao Xi, Yuan-Biao Zhou, Xinrong Liu, Yifu Mao, Jian Yang, Jun Chen, Kuojuei Hu, Weiwei Gao, Shuai Zhang, Xiaoqin Gao, Jianguo Wan, Da-Wei Zhou, Junhong An, Xuefeng Wang, Wei ji, De-Chuan Zhan, Minhao Zhang, Cong Wang, Yuan-Zhi Tan, Su-Yuan Xie, Fengqi Song
   Nature Materials, DOI:10.1038/s41563-026-02609-3 (2026)
   Paper      
   
2. 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
   
3. 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       ESI Hot Cited Paper
   Paper       Code
   
4. 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
   
5. 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
   
6. 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
   
7. Bi-Compatible Task-Agnostic Feature Augmentation for Expansion-Based Class-Incremental Learning
   Bowen Zheng, Zijun Shen, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
   International Journal of Computer Vision (IJCV), 134, 366 (2026)
   Paper       Code
   
8. 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
   
9. 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
   
10. Cross-Sample Relational Fusion: Unifying Domain Generalization and Class-Incremental Learning
    Zhen-Hao Xie, Hao Sun, Yan Wang, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou,
    IEEE Transactions on Multimedia (TMM), in press.
    Paper       Code
    
11. 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
    
12. 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
    
13. 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)
    TNNLS Popular Documents
    Paper
    
14. 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
    
15. 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
    
16. 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
   
2. 持续学习：从灾难性遗忘到开放环境中的自主演化
   周大蔚, 叶翰嘉, 俞扬
   计算, 2(8): 38−43 (2026)
   Paper      
   

Preprints

1. Prism: A Plug-in Reproducible Infrastructure for Scalable Multimodal Continual Instruction Tuning
   Jun-Tao Tang, Yu-Cheng Shi, Zhen-Hao Xie, Da-Wei Zhou
   arXiv 2026
   Paper       Code
   
2. ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning
   Yu-Cheng Shi, Zhen-Hao Xie, Jun-Tao Tang, Da-Wei Zhou
   arXiv 2026
   Paper      
   
3. Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning
   Tao Hu, Da-Wei Zhou
   arXiv 2026
   Paper      
   
4. Unlocking Patch-Level Features for CLIP-Based Class-Incremental Learning
   Hao Sun, Zi-Jun Ding, Da-Wei Zhou
   arXiv 2026
   Paper      
   
5. C3Box: A CLIP-based Class-Incremental Learning Toolbox
   Hao Sun, Da-Wei Zhou
   arXiv 2026
   Paper       Code
   
6. Stable Routing for Mixture-of-Experts in Class-Incremental Learning
   Zirui Guo, Quan Cheng, Da-Wei Zhou, Lijun Zhang
   arXiv 2026
   Paper      
   
7. Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
   Tao Hu, Lan Li, Zhen-Hao Xie, Da-Wei Zhou
   arXiv 2025
   Paper      
   
8. Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
   Zhen-Hao Xie, Yan Wang, Lan Li, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou
   arXiv 2025
   Paper      
   
9. 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