Da-Wei Zhou

According to our database, Da-Wei Zhou authored at least 43 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning.

Yan Wang, Da-Wei Zhou, Han-Jia Ye

CoRR, August, 2025

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts.

Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

CoRR, July, 2025

DISPROTBENCH: A Disorder-Aware, Task-Rich Benchmark for Evaluating Protein Structure Prediction in Realistic Biological Contexts.

Xinyue Zeng, Tuo Wang, Adithya Kulkarni, Alexander Lu, Alexandra Ni, Phoebe Xing, Junhan Zhao, Siwei Chen, Dawei Zhou

CoRR, July, 2025

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 Trans. Pattern Anal. Mach. Intell., June, 2025

Adaptive adapter routing for long-tailed class-incremental learning.

Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan

Mach. Learn., March, 2025

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

Int. J. Comput. Vis., March, 2025

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

CoRR, March, 2025

PILOT: a pre-trained model-based continual learning toolbox.

Hai-Long Sun, Da-Wei Zhou, De-Chuan Zhan, Han-Jia Ye

Sci. China Inf. Sci., 2025

Task-Agnostic Guided Feature Expansion for Class-Incremental Learning.

Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning.

Dawei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Class-Incremental Learning: A Survey.

Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

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 Comput. Sci., October, 2024

Contextualizing Meta-Learning via Learning to Decompose.

Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.

Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang

CoRR, 2024

LW2G: Learning Whether to Grow for Prompt-based Continual Learning.

Qian Feng, Dawei Zhou, Hanbin Zhao, Chao Zhang, Hui Qian

CoRR, 2024

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

CoRR, 2024

Continual Learning with Pre-Trained Models: A Survey.

Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning.

Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning.

Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic Logic.

Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou

Proceedings of the IEEE International Conference on Big Data, 2024

2023

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 Trans. Pattern Anal. Mach. Intell., November, 2023

PyCIL: a Python toolbox for class-incremental learning.

Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan

Sci. China Inf. Sci., September, 2023

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 Trans. Knowl. Data Eng., April, 2023

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, Sanglu Lu, Baoliu Ye

IEEE Trans. Mob. Comput., 2023

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

CoRR, 2023

Learning without Forgetting for Vision-Language Models.

Da-Wei Zhou, Yuanhan Zhang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu

CoRR, 2023

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need.

Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu

CoRR, 2023

Deep Class-Incremental Learning: A Survey.

Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu

CoRR, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Preserving Locality in Vision Transformers for Class Incremental Learning.

Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.

Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning to Classify With Incremental New Class.

Da-Wei Zhou, Yang Yang, De-Chuan Zhan

IEEE Trans. Neural Networks Learn. Syst., 2022

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks.

Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

CoRR, 2022

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation.

Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

FOSTER: Feature Boosting and Compression for Class-Incremental Learning.

Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Computer Vision - ECCV 2022, 2022

Forward Compatible Few-Shot Class-Incremental Learning.

Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Contextualizing Multiple Tasks via Learning to Decompose.

Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan

CoRR, 2021

Detecting Sequentially Novel Classes with Stable Generalization Ability.

Da-Wei Zhou, Yang Yang, De-Chuan Zhan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Co-Transport for Class-Incremental Learning.

Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Placeholders for Open-Set Recognition.

Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability.

Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019