| 2026 | AAAI | BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning. | Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye, De-Chuan Zhan |
| 2025 | AAAI | 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 |
| 2025 | CVPR | Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning. | Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan |
| 2025 | CVPR | Task-Agnostic Guided Feature Expansion for Class-Incremental Learning. | Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2025 | ICCV | Integrating Task-Specific and Universal Adapters for Pre-Trained Model-Based Class-Incremental Learning. | Yan Wang, Da-Wei Zhou, Han-Jia Ye |
| 2025 | ICCV | 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 |
| 2025 | ICML | Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts. | Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2025 | ICML | 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 |
| 2025 | IJCAI | A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models. | Da-Wei Zhou, Han-Jia Ye |
| 2024 | CVPR | Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. | Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan |
| 2024 | ICML | Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning. | Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2024 | IJCAI | Continual Learning with Pre-Trained Models: A Survey. | Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan |
| 2023 | ICLR | A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. | Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan |
| 2023 | ICLR | BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. | Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao |
| 2022 | CVPR | Forward Compatible Few-Shot Class-Incremental Learning. | Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan |
| 2022 | ECCV | FOSTER: Feature Boosting and Compression for Class-Incremental Learning. | Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2022 | Interspeech | Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. | Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2021 | CVPR | Learning Placeholders for Open-Set Recognition. | Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2021 | PAKDD | Detecting Sequentially Novel Classes with Stable Generalization Ability. | Da-Wei Zhou, Yang Yang, De-Chuan Zhan |
| 2019 | KDD | Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. | Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang |