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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
6732020
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
5642005
Semi-supervised learning with very few labeled training examples
ZH Zhou, DC Zhan, Q Yang
AAAI 7, 675-680, 2007
2172007
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1772021
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
1272022
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
1032022
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
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
802020
Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan, F Sha
arXiv preprint arXiv:1812.03664 7, 2018
702018
Deep class-incremental learning: A survey
DW Zhou, QW Wang, ZH Qi, HJ Ye, DC Zhan, Z Liu
arXiv preprint arXiv:2302.03648, 2023
692023
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
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
632009
Learning adaptive classifiers synthesis for generalized few-shot learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision 129, 1930-1953, 2021
612021
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
602019
Deep learning for fixed model reuse
Y Yang, DC Zhan, Y Fan, Y Jiang, ZH Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
582017
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, 2022
502022
A novel serial multimodal biometrics framework based on semisupervised learning techniques
Q Zhang, Y Yin, DC Zhan, J Peng
IEEE transactions on information forensics and security 9 (10), 1681-1694, 2014
502014
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
452022
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
442018
What makes objects similar: A unified multi-metric learning approach
HJ Ye, DC Zhan, XM Si, Y Jiang, ZH Zhou
Advances in neural information processing systems 29, 2016
442016
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