De-Chuan Zhan
De-Chuan Zhan
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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
Semi-supervised learning with very few labeled training examples
ZH Zhou, DC Zhan, Q Yang
AAAI 675680, 2007
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
Multi-modal image annotation with multi-instance multi-label LDA
CT Nguyen, DC Zhan, ZH Zhou
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
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
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
Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan, F Sha
Fei Sha. Learning embedding adaptation for few-shot learning
HJ Ye, H Hu, DC Zhan
arXiv preprint arXiv:1812.03664 2 (8), 2018
Deep learning for fixed model reuse
Y Yang, DC Zhan, Y Fan, Y Jiang, ZH Zhou
Thirty-First AAAI Conference on Artificial Intelligence, 2017
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
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
Fast generalization rates for distance metric learning
HJ Ye, DC Zhan, Y Jiang
Machine Learning 108 (2), 267-295, 2019
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
College student scholarships and subsidies granting: A multi-modal multi-label approach
HJ Ye, DC Zhan, X Li, ZC Huang, Y Jiang
2016 IEEE 16th International Conference on Data Mining (ICDM), 559-568, 2016
COVID-19 asymptomatic infection estimation
Y Yu, YR Liu, FM Luo, WW Tu, DC Zhan, G Yu, ZH Zhou
medRxiv, 2020
Semi-Supervised Multi-Modal Learning with Incomplete Modalities.
Y Yang, DC Zhan, XR Sheng, Y Jiang
IJCAI, 2998-3004, 2018
Rectify heterogeneous models with semantic mapping
HJ Ye, DC Zhan, Y Jiang, ZH Zhou
International Conference on Machine Learning, 5630-5639, 2018
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps.
HJ Ye, DC Zhan, XM Si, Y Jiang
IJCAI, 3315-3321, 2017
What Makes Objects Similar: A Unified Multi-Metric Learning Approach.
HJ Ye, DC Zhan, XM Si, Y Jiang, ZH Zhou
NIPS, 1235-1243, 2016
Pairwised specific distance learning from physical linkages
J Hu, DC Zhan, X Wu, Y Jiang, ZH Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (3), 1-27, 2015
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