Da-Wei Zhou - RankMe

66 papers A* 17A 2Journal 45Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning. AAAI Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye, De-Chuan Zhan
2026	J	`jnl`	SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning. CoRR Zhen-Hao Xie, Jun-Tao Tang, Yu-Cheng Shi, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou
2026	J	`jnl`	The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation. CoRR Guannan Lai, Da-Wei Zhou, Zhenguo Li, Han-Jia Ye
2025	A*	`conf`	A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models. IJCAI Da-Wei Zhou, Han-Jia Ye
2025	J	`jnl`	Adaptive adapter routing for long-tailed class-incremental learning. Mach. Learn. Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan
2025	A*	`conf`	Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts. ICML Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts. CoRR Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning. CoRR Lan Li, Tao Hu, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	A*	`conf`	Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning. CVPR Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan
2025	J	`jnl`	External Knowledge Injection for CLIP-Based Class-Incremental Learning. CoRR Da-Wei Zhou, Kai-Wen Li, Jingyi Ning, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan
2025	J	`jnl`	Hierarchical Representation Matching for CLIP-based Class-Incremental Learning. CoRR Zhen-Hao Wen, Yan Wang, Ji Feng, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou
2025	J	`jnl`	Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning. CoRR Tao Hu, Lan Li, Zhen-Hao Xie, Da-Wei Zhou
2025	J	`jnl`	Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning. CoRR Yan Wang, Da-Wei Zhou, Han-Jia Ye
2025	J	`jnl`	Learning Without Forgetting for Vision-Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Da-Wei Zhou, Yuanhan Zhang, Yan Wang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2025	A*	`conf`	MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. AAAI Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	PILOT: a pre-trained model-based continual learning toolbox. Sci. China Inf. Sci. Hai-Long Sun, Da-Wei Zhou, De-Chuan Zhan, Han-Jia Ye
2025	A*	`conf`	Parrot: Multilingual Visual Instruction Tuning. ICML 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	J	`jnl`	Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. Int. J. Comput. Vis. Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2025	A*	`conf`	Task-Agnostic Guided Feature Expansion for Class-Incremental Learning. CVPR Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	Task-Agnostic Guided Feature Expansion for Class-Incremental Learning. CoRR Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025	J	`jnl`	The Lie of the Average: How Class Incremental Learning Evaluation Deceives You? CoRR Guannan Lai, Da-Wei Zhou, Xin Yang, Han-Jia Ye
2024	J	`jnl`	Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning. CoRR Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Class-Incremental Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2024	J	`jnl`	Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
2024	A*	`conf`	Continual Learning with Pre-Trained Models: A Survey. IJCAI Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Continual Learning with Pre-Trained Models: A Survey. CoRR Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning. CoRR Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan
2024	A*	`conf`	Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. CVPR Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. CoRR Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	LW2G: Learning Whether to Grow for Prompt-based Continual Learning. CoRR Qian Feng, Da-Wei Zhou, Hanbin Zhao, Chao Zhang, Hui Qian
2024	J	`jnl`	MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. CoRR Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye
2024	A*	`conf`	Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning. ICML Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Parrot: Multilingual Visual Instruction Tuning. CoRR 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
2024	J	`jnl`	TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen. CoRR Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	TV100: a TV series dataset that pre-trained CLIP has not seen. Frontiers Comput. Sci. Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
2023	A*	`conf`	A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. ICLR Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
2023	A*	`conf`	BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
2023	J	`jnl`	Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. IEEE Trans. Knowl. Data Eng. Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang
2023	J	`jnl`	Deep Class-Incremental Learning: A Survey. CoRR Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2023	J	`jnl`	Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan
2023	A*	`conf`	Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. NeurIPS Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
2023	J	`jnl`	Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. CoRR Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
2023	J	`jnl`	Learning without Forgetting for Vision-Language Models. CoRR Da-Wei Zhou, Yuanhan Zhang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2023	J	`jnl`	PILOT: A Pre-Trained Model-Based Continual Learning Toolbox. CoRR Hai-Long Sun, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2023	A	`conf`	Preserving Locality in Vision Transformers for Class Incremental Learning. ICME Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	Preserving Locality in Vision Transformers for Class Incremental Learning. CoRR Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	PyCIL: a Python toolbox for class-incremental learning. Sci. China Inf. Sci. Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan
2023	J	`jnl`	RF-Badge: Vital Sign-Based Authentication via RFID Tag Array on Badges. IEEE Trans. Mob. Comput. Jingyi Ning, Lei Xie, Chuyu Wang, Yanling Bu, Fengyuan Xu, Da-Wei Zhou, Sanglu Lu, Baoliu Ye
2023	J	`jnl`	Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. CoRR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2023	J	`jnl`	Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data. CoRR Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye
2022	J	`jnl`	A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. CoRR Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
2022	A	`conf`	Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. INTERSPEECH Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2022	—	`conf`	FOSTER: Feature Boosting and Compression for Class-Incremental Learning. ECCV (25) Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2022	J	`jnl`	FOSTER: Feature Boosting and Compression for Class-Incremental Learning. CoRR Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2022	J	`jnl`	Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. CoRR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2022	A*	`conf`	Forward Compatible Few-Shot Class-Incremental Learning. CVPR Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
2022	J	`jnl`	Forward Compatible Few-Shot Class-Incremental Learning. CoRR Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
2022	J	`jnl`	Learning to Classify With Incremental New Class. IEEE Trans. Neural Networks Learn. Syst. Da-Wei Zhou, Yang Yang, De-Chuan Zhan
2021	A*	`conf`	Co-Transport for Class-Incremental Learning. ACM Multimedia Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	Co-Transport for Class-Incremental Learning. CoRR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	Contextualizing Multiple Tasks via Learning to Decompose. CoRR Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
2021	—	`conf`	Detecting Sequentially Novel Classes with Stable Generalization Ability. PAKDD (1) Da-Wei Zhou, Yang Yang, De-Chuan Zhan
2021	A*	`conf`	Learning Placeholders for Open-Set Recognition. CVPR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	Learning Placeholders for Open-Set Recognition. CoRR Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2021	J	`jnl`	PyCIL: A Python Toolbox for Class-Incremental Learning. CoRR Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan
2019	A*	`conf`	Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. KDD Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang