Wenshuo Wang
Scholar

Wenshuo Wang

Google Scholar ID: vQ1dKQwAAAAJ
Professor, Beijing Institute of Technology (BIT) | Research Fellow, UC Berkeley, CMU, McGill
Human-Robot InteractionAutonomous DrivingBayesian LearningHuman Factors
Citations & Impact
All-time
Citations
3,512
 
H-index
32
 
i10-index
51
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • 2022 Best Paper Award of Transportation Safety and Environment (TSE); 2023 Best Guest Editor Award by Transportation Safety and Environment (TSE); One paper about Shareable Driving Styles was accepted by IEEE Transactions on Intelligent Transportation Systems; One paper about Leveraging Knowledge into Learning for Driving Styles was accepted by IEEE Transactions on Intelligent Vehicles; Assigned as an Area Chair for IEEE ICIP’2024 (IEEE International Conference on Image Processing); Filed a Chinese Patent on `A Continuous Driving Style Recognition Algorithm`; Recognized as 2023 Top 2% of Scientists on Stanford List; Our journal paper on Trustworthy Decision-Making Process is accepted by IEEE T-ITS; Given an invited talk entitled ‘Human-Centric & Socially Interactive Mobility’ in the SAE 2023 Intelligent and Connected Vehicles Symposium.
Research Experience
  • Postdoctoral Fellow (2018-2023): McGill University, UC Berkeley, DeepDrive, and Carnegie Mellon University; Visiting Graduate Student (2015-2018): UC Berkeley and University of Michigan.
Education
  • PhD: Beijing Institute of Technology, 2018, Advisor: Not explicitly mentioned; Postdoc: McGill University, 2018-2023.
Background
  • Research Interests: BehAvioral intElligence for autonomous Systems (BAYES), Human robot interaction, Human modeling, Cognition & perception, Autonomous vehicles, Multi-agent interaction, Human-centric systems, Personalized mobility, Bayesian learning, (Inverse) Reinforcement learning, Active inference, and Optimization & control. Brief Introduction: Dedicated to enhancing the efficiency, safety, and intelligence of AI-based agents when interacting with humans.
Miscellany
  • Information on personal interests and hobbies is insufficient.