Li Shen
Scholar

Li Shen

Google Scholar ID: yVhgENIAAAAJ
Associate Professor, Sun Yat-sen University
Machine LearningOptimization
Citations & Impact
All-time
Citations
9,947
 
H-index
50
 
i10-index
169
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • He has published more than 100 papers in peer-reviewed top-tier journal papers (Nature Machine Intelligence, JMLR, IEEE TPAMI, IJCV, etc.) and conference papers (ICML, NeurIPS, ICLR, etc.). He has served as the senior program committee for AAAI and area chair for ICML, NeurIPS, ICLR, CVPR, and ACMMM. He has also served as the associate editor for IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Multimedia, and action editor for Neural Networks.
Research Experience
  • Previously, he was a research scientist at JD Explore Academy, Beijing, and a senior researcher at Tencent AI Lab, Shenzhen.
Education
  • Received his bachelor's degree and Ph.D. from the School of Mathematics, South China University of Technology.
Background
  • Research interests include theory and algorithms for nonsmooth convex and nonconvex optimization, and their applications in trustworthy artificial intelligence, deep learning, and reinforcement learning. Currently, he is an associate professor at the School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University.
Miscellany
  • The team is recruiting several postdocs, SYSU-SLAI joint PhD students, and self-motivated students (PhDs, masters, undergraduate students, interns, gap year students) to work on trustworthy artificial intelligence, distributed/federated learning, continual learning, reinforcement learning, and efficient training of foundation models.
Co-authors
0 total
Co-authors: 0 (list not available)