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De-Chuan Zhan
De-Chuan Zhan
Verified email at nju.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
5412005
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
4162020
Semi-supervised learning with very few labeled training examples
ZH Zhou, DC Zhan, Q Yang
AAAI, 675-680, 2007
2092007
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
812021
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
812013
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
622009
Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan, F Sha
arXiv preprint arXiv:1812.03664 7, 2018
542018
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
452014
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
442017
Learning adaptive classifiers synthesis for generalized few-shot learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision 129, 1930-1953, 2021
402021
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
392016
Fei Sha. Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan
arXiv preprint arXiv:1812.03664 2 (8), 2018
372018
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
362019
Fast generalization rates for distance metric learning: Improved theoretical analysis for smooth strongly convex distance metric learning
HJ Ye, DC Zhan, Y Jiang
Machine Learning 108, 267-295, 2019
362019
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
362018
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
342020
Rank consistency based multi-view learning: A privacy-preserving approach
HJ Ye, DC Zhan, Y Miao, Y Jiang, ZH Zhou
Proceedings of the 24th ACM international on conference on information and …, 2015
302015
Semi-Supervised Multi-Modal Learning with Incomplete Modalities.
Y Yang, DC Zhan, XR Sheng, Y Jiang
IJCAI, 2998-3004, 2018
272018
Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach
HJ Ye, XR Sheng, DC Zhan
Machine Learning 109, 643-664, 2020
262020
Distilling cross-task knowledge via relationship matching
HJ Ye, S Lu, DC Zhan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
252020
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