Li Changsheng
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Pre One:Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha, A Self-Paced Regularization Framework for Multilabel Learning, IEEE Trans. on Neural Networks and Learning Systems (T-NNLS), 2017
Next One:Chunjie Zhang, Jian Cheng, Changsheng Li, Qi Tian, Image-Specific Classification With Local and Global Discriminations, IEEE Trans. on Neural Networks and Learning System (T-NNLS), 2017
Release time:2018-01-31
Changsheng Li received the BE degree from the University of Electronic Science and Technology of China (UESTC), in 2008 and the PhD degree in pattern recognition and intelligent system from the Institute of Automation, Chinese Academy of Sciences, in 2013. He is currently a Full Research Professor from the University of Electronic Science and Technology of China. He is also a director of Youedata AI Research lab (YAIR). During pursuing his PhD, he once studied as a research assistant from The Hong Kong Polytechnic University in 2009-2010. After obtaining his PhD, he worked with IBM Research-China and iDST, Alibaba Group, respectively. His research interests include machine learning, data mining, and computer vision. He has more than 30 refereed publications in international journals and conferences, including T-PAMI, T-IP, T-NNLS, T-C, PR, CVPR, AAAI, IJCAI, CIKM, MM, ICMR, etc.