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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
5422005
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
4492020
Semi-supervised learning with very few labeled training examples
ZH Zhou, DC Zhan, Q Yang
AAAI, 675-680, 2007
2102007
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
922021
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
832013
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
422021
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
402020
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
402016
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
392019
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
372018
Fei Sha. Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan
arXiv preprint arXiv:1812.03664 2 (8), 2018
372018
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
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
332022
Semi-Supervised Multi-Modal Learning with Incomplete Modalities.
Y Yang, DC Zhan, XR Sheng, Y Jiang
IJCAI, 2998-3004, 2018
302018
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
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
282020
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