Ming Shi
Scholar

Ming Shi

Google Scholar ID: GDiJkA0AAAAJ
Assistant Professor, The State University of New York at Buffalo
Learning TheoryOnline OptimizationNetworkingSecurity
Citations & Impact
All-time
Citations
96
 
H-index
6
 
i10-index
5
 
Publications
19
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Presented papers and gave talks at various international conferences such as ACM MobiHoc, ACM SIGMETRICS, IEEE Military Communications Conference, etc. Invited to give talks at Arizona State University, New York University, Massachusetts Institute of Technology, California Institute of Technology, and Northeastern University. His work on adversarial reinforcement learning was recognized as a notable-top-25% (Spotlight) paper at the International Conference on Learning Representations in January 2023.
Research Experience
  • Worked as a Post-Doctoral Scholar at the Department of Electrical and Computer Engineering of The Ohio State University, Columbus, OH, USA, from 2022 to 2024, affiliated with the NSF AI-EDGE Institute, advised by Prof. Ness B. Shroff and Prof. Yingbin Liang.
Education
  • Received his Ph.D. degree in Electrical and Computer Engineering from Purdue University, West Lafayette, IN, USA, in 2022. His Ph.D. advisor was Prof. Xiaojun Lin.
Background
  • His research interests include Reinforcement Learning, Bandit Learning, and Online Learning; Online (Non-)Convex Optimization and Online Control; Networking, Wireless Communication, Edge-AI, cybersecurity, and network security; Recommendation Systems, Autonomous Vehicles, LLMs, and Diffusion.
Co-authors
0 total
Co-authors: 0 (list not available)