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De-Chuan Zhan
De-Chuan Zhan
Verified email at nju.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
8092020
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
5902005
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
2502022
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2402021
Semi-supervised learning with very few labeled training examples
ZH Zhou, DC Zhan, Q Yang
AAAI, 675-680, 2007
2202007
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
2042022
Deep class-incremental learning: A survey
DW Zhou, QW Wang, ZH Qi, HJ Ye, DC Zhan, Z Liu
arXiv preprint arXiv:2302.03648, 2023
1952023
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
1292022
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
962022
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
962020
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
952019
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
932021
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
762021
Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan, F Sha
arXiv preprint arXiv:1812.03664 7, 2018
722018
Pycil: A python toolbox for class-incremental learning
DW Zhou, FY Wang, HJ Ye, DC Zhan
Science China Information Sciences 66 (9), 197101, 2023
712023
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
642018
Co-transport for class-incremental learning
DW Zhou, HJ Ye, DC Zhan
Proceedings of the 29th ACM International Conference on Multimedia, 1645-1654, 2021
632021
Learning instance specific distances using metric propagation
DC Zhan, M Li, YF Li, ZH Zhou
Proceedings of the 26th annual international conference on machine learning …, 2009
612009
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
592024
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