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Joint Active Learning with Feature Selection via CUR Matrix Decomposition

Sep 09, 2018
Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha

* Accepted by T-PAMI 

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An Anti-fraud System for Car Insurance Claim Based on Visual Evidence

Apr 30, 2018
Pei Li, Bingyu Shen, Weishan Dong


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Max-Margin based Discriminative Feature Learning

Apr 03, 2017
Changsheng Li, Qingshan Liu, Weishan Dong, Xin Zhang, Lin Yang

* Accepted by IEEE TNNLS 

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Self-Paced Multi-Task Learning

Apr 03, 2017
Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha


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Autoencoder Regularized Network For Driving Style Representation Learning

Jan 05, 2017
Weishan Dong, Ting Yuan, Kai Yang, Changsheng Li, Shilei Zhang


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Characterizing Driving Styles with Deep Learning

Oct 08, 2016
Weishan Dong, Jian Li, Renjie Yao, Changsheng Li, Ting Yuan, Lanjun Wang


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A Self-Paced Regularization Framework for Multi-Label Learning

Apr 06, 2016
Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang, Hongyuan Zha


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Dynamic Structure Embedded Online Multiple-Output Regression for Stream Data

Sep 08, 2015
Changsheng Li, Fan Wei, Weishan Dong, Qingshan Liu, Xiangfeng Wang, Xin Zhang


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Scaling Up Estimation of Distribution Algorithms For Continuous Optimization

Nov 09, 2011
Weishan Dong, Tianshi Chen, Peter Tino, Xin Yao


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