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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
5452005
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
5082020
Semi-supervised learning with very few labeled training examples
ZH Zhou, DC Zhan, Q Yang
AAAI, 675-680, 2007
2122007
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1012021
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
602018
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
532020
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
502022
Learning adaptive classifiers synthesis for generalized few-shot learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision 129, 1930-1953, 2021
462021
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
462019
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
462014
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
452017
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
Fei Sha. Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan
arXiv preprint arXiv:1812.03664 2 (8), 2018
392018
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
372019
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
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
362021
Foster: Feature boosting and compression for class-incremental learning
FY Wang, DW Zhou, HJ Ye, DC Zhan
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
342022
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
312020
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