Li Changsheng

Researcher   Supervisor of Master’s Candidates

Name (Simplified Chinese):李长升

Name (English):Li Changsheng

Name (Pinyin):Li Changsheng

School/Department:School of Computer Science and Engineering, University of Electronic Science and Technology of China

Education Level:With Certificate of Graduation for Doctorate Study


Degree:Doctoral Degree

Status:On the job

Academic Titles:Professor

Alma Mater:Institute of Automation Chinese Academy of Science

Whether on the job:no

Discipline:Pattern Recognition and Intelligent Systems
Computer Systems Organization

Academic Honor:

Honors and Titles:

Educational Experience

2008.9 -- 2013.7

中国科学院大学       模式识别与智能系统       Doctoral Degree

Social Affiliations

Journal/Conference Reviewer:
IEEE Trans. on Neural Networks and Learning Systems (T-NNLS)
IEEE Trans. on Knowledge and Data Engineering (T-KDE)
IEEE Trans. on Cybernetics (T-C)
IEEE Trans. on Multimedia (T-MM)
ACM Transactions on Embedded Computing Systems (T-ECS)
Signal Processing
Multimedia Tools and Applications
IEEE Access

Guest Editor:
IEEE Access

Research Focus

Computer Vision:Action Detection, Object Detection, Semantic Segmentation, Age Estimation, Image Ranking

Machine Learning: Feature Learning, Multi-task Learning, Self-paced Learning, Active Learning, Deep Learning

Work Experience

2010.3 -- 2011.6


2013.7 -- 2016.11

IBM 中国研究院

2016.11 -- 2017.9


2017.9 -- Now



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.