Jesse Zhang
Scholar

Jesse Zhang

Google Scholar ID: fSXCOfEAAAAJ
Postdoc at University of Washington
Reinforcement LearningRobotics
Citations & Impact
All-time
Citations
931
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published multiple papers such as 'PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies', 'Unveiling Early Signs of Preclinical Alzheimer’s Disease Through ERP Analysis with Weighted Visibility Graphs and Ensemble Learning'; Involved in the development of ReWiND, which won Best Paper Award at CoRL 2025.
Research Experience
  • Currently a postdoc at UW, advised by Dieter Fox and Abhishek Gupta. Collaborator at AI2, interned at NVIDIA Seattle Robotics Lab, AWS Lablets (Rasool Fakoor's team), NAVER AI Labs, and Horizon Robotics.
Education
  • PhD from USC, advised by Jesse Thomason, Erdem Biyik, and Joseph J. Lim at KAIST; Undergraduate from UC Berkeley, worked with Sergey Levine and Dinesh Jayaraman.
Background
  • Focused on enabling robots to learn new tasks, autonomously, in the real world. Has interned and collaborated with several renowned labs.
Miscellany
  • Personal webpage: https://skylerhallinan.com/; Contact: jessezha at cs.washington.edu; Social media: GitHub, Twitter; Academic profile: Google Scholar