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De-Chuan Zhan
De-Chuan Zhan
Nanjing University, China
Подтвержден адрес электронной почты в домене nju.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Few-shot learning via embedding adaptation with set-to-set functions
HJ Ye, H Hu, DC Zhan, F Sha
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
8472020
Supervised nonlinear dimensionality reduction for visualization and classification
X Geng, DC Zhan, ZH Zhou
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005
5982005
Foster: Feature boosting and compression for class-incremental learning
FY Wang, DW Zhou, HJ Ye, DC Zhan
European conference on computer vision, 398-414, 2022
2852022
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2572021
Revisiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need
DW Zhou, ZW Cai, HJ Ye, DC Zhan, Z Liu
arXiv preprint arXiv:2303.07338, 2023
2412023
Forward compatible few-shot class-incremental learning
DW Zhou, FY Wang, HJ Ye, L Ma, S Pu, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
2272022
Semi-supervised learning with very few labeled training examples
ZH Zhou, DC Zhan, Q Yang
AAAI, 675-680, 2007
2212007
A model or 603 exemplars: Towards memory-efficient class-incremental learning
DW Zhou, QW Wang, HJ Ye, DC Zhan
arXiv preprint arXiv:2205.13218, 2022
1562022
Few-shot class-incremental learning by sampling multi-phase tasks
DW Zhou, HJ Ye, L Ma, D Xie, S Pu, DC Zhan
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2022
1112022
Fedrs: Federated learning with restricted softmax for label distribution non-iid data
XC Li, DC Zhan
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
1052021
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
1032020
Adaptive deep models for incremental learning: Considering capacity scalability and sustainability
Y Yang, DW Zhou, DC Zhan, H Xiong, Y Jiang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1012019
Multi-modal image annotation with multi-instance multi-label LDA
CT Nguyen, DC Zhan, ZH Zhou
Proceedings of the Twenty-Third international joint conference on Artificial …, 2013
882013
Learning adaptive classifiers synthesis for generalized few-shot learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision 129 (6), 1930-1953, 2021
822021
Pycil: A python toolbox for class-incremental learning
DW Zhou, FY Wang, HJ Ye, DC Zhan
Science China Information Sciences 66 (9), 197101, 2023
772023
The capacity and robustness trade-off: Revisiting the channel independent strategy for multivariate time series forecasting
L Han, HJ Ye, DC Zhan
IEEE Transactions on Knowledge and Data Engineering, 2024
752024
Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan, F Sha
arXiv preprint arXiv:1812.03664 7, 2018
752018
Complex object classification: A multi-modal multi-instance multi-label deep network with optimal transport
Y Yang, YF Wu, DC Zhan, ZB Liu, Y Jiang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
692018
Fedphp: Federated personalization with inherited private models
XC Li, DC Zhan, Y Shao, B Li, S Song
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
672021
Co-transport for class-incremental learning
DW Zhou, HJ Ye, DC Zhan
Proceedings of the 29th ACM International Conference on Multimedia, 1645-1654, 2021
652021
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