Da-Wei Zhou

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 29

Top Topics

Incremental Learning

Learning To Classify

Closed Captions

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
TV100: a TV series dataset that pre-trained CLIP has not seen. Frontiers Comput. Sci. 18 (5) (2024)
Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan
TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen. CoRR (2024)
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
Parrot: Multilingual Visual Instruction Tuning. CoRR (2024)
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
Continual Learning with Pre-Trained Models: A Survey. CoRR (2024)
Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. CoRR (2024)
Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Preserving Locality in Vision Transformers for Class Incremental Learning. CoRR (2023)
Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. ICLR (2023)
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. NeurIPS (2023)
Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data. CoRR (2023)
Hai-Long Sun, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox. CoRR (2023)
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. CoRR (2023)
Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang
Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. CoRR (2023)
Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR (2023)
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan
PyCIL: a Python toolbox for class-incremental learning. Sci. China Inf. Sci. 66 (9) (2023)
Da-Wei Zhou, Yuanhan Zhang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
Learning without Forgetting for Vision-Language Models. CoRR (2023)
Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
Deep Class-Incremental Learning: A Survey. CoRR (2023)
Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Preserving Locality in Vision Transformers for Class Incremental Learning. ICME (2023)
Jingyi Ning, Lei Xie, Chuyu Wang, Yanling Bu, Fengyuan Xu, Da-Wei Zhou, Sanglu Lu, Baoliu Ye
RF-Badge: Vital Sign-Based Authentication via RFID Tag Array on Badges. IEEE Trans. Mob. Comput. 22 (2) (2023)
Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. CoRR (2022)
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
Forward Compatible Few-Shot Class-Incremental Learning. CoRR (2022)
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. ECCV (25) (2022)
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. CoRR (2022)
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
Forward Compatible Few-Shot Class-Incremental Learning. CVPR (2022)
Da-Wei Zhou, Yang Yang, De-Chuan Zhan
Learning to Classify With Incremental New Class. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. CoRR (2022)
Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. INTERSPEECH (2022)