Yanbing Mao
Scholar

Yanbing Mao

Google Scholar ID: kN1IRpsAAAAJ
Wayne State University
Physics-AISelf-Driving VehiclesCyber-Physical SystemsSocial Networks
Citations & Impact
All-time
Citations
448
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • * "Real-DRL: Teach and Learn in Reality", NeurIPS 2025
  • * "Runtime Learning Machine", ACM Transactions on Cyber Physical Systems (Special Issue on Embodied Artificial Intelligence in Cyber-Physical Systems: Algorithms, Computing Systems, Applications, and Trustworthiness), 2025
  • * "Phy-DRL: Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings", ICLR 2024 (spotlight)
  • - Funded Projects:
  • * Runtime Learning Machine project funded by Nvidia Academic Grant
  • - Open Source:
  • * Real-DRL, including source codes and demo videos
  • * Phy-DRL, including source codes and demo videos
  • * Runtime Learning of Quadruped Robots in Wild Environments
  • - Demonstration Videos:
  • * Demo video: Year 2024, summarizing research progress in the Year 2024
Research Experience
  • - Assistant Professor, Wayne State University, Aug. 2022 – Present
  • - Postdoctoral Research Associate, University of Illinois at Urbana-Champaign, Oct. 2019 – Jul. 2022
Education
  • - Ph.D. in Electrical and Computer Engineering, State University of New York at Binghamton, Sept. 2015 – Sept. 2019
  • - M.E. in Circuits & Systems, University of Electronic Science and Technology of China, Sept. 2010 – Jul. 2013
Background
  • - Research Interests: Embodied AI, Robot Learning, Dynamics and Control of Social Information
  • - Application Domains: Self-Driving Vehicles, Safety-Critical Robots, Social Cybersecurity