About Me
I am a first-year Ph.D. student in the Computer Science Department at Rutgers University–New Brunswick, advised by Abdeslam Boularias. Before joining Rutgers, I worked closely with Erdem Biyik. I received my M.S. in Electrical and Computer Engineering from UC San Diego, where I was fortunate to work with Hao Su and Pengtao Xie. Prior to that, I earned a B.S. with a double major in Computer Science and Mathematics from UW–Madison, where I worked with Vikas Singh.
Email: zl1308@rutgers.edu
Education

Ph.D. in Computer Science
Rutgers University–New Brunswick | 09/2026 – Present
Rutgers University–New Brunswick | 09/2026 – Present

M.S. in Electrical and Computer Engineering
Intelligent Systems, Robotics & Control
University of California, San Diego | 09/2023 – 06/2025
Intelligent Systems, Robotics & Control
University of California, San Diego | 09/2023 – 06/2025

B.S. in Computer Science & Mathematics (Double Major)
University of Wisconsin–Madison | 01/2021 – 05/2023
University of Wisconsin–Madison | 01/2021 – 05/2023
Publications and Preprints
* indicates equal contribution.
| BFN Policy: Visuomotor Policy Learning for Hybrid Action Spaces via Bayesian Flow Networks Zhaoyang Li*, Aleyna Kara*, Abha Jha*, Bo-Ruei Huang, Majid Khadiv, Erdem Biyik Under review. | |
![]() | ORIC: Benchmarking Object Recognition in Incongruous Context for Large Vision-Language Models Zhaoyang Li*, Zhan Ling*, Yuchen Zhou, Litian Gong, Erdem Biyik, Hao Su. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2026. Paper | Code |
![]() | When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Tongzhou Mu*, Zhaoyang Li*, Stanislaw Wiktor Strzelecki*, Xiu Yuan, Yunchao Yao, Litian Liang, Aditya Gulati, Hao Su. AAAI Conference on Artificial Intelligence (AAAI) 2025. Paper | Code |
Professional Service
Reviewer
- AAAI Conference on Artificial Intelligence (2026, 2027)
- AAAI Workshop: Large Language Models and Generative AI for Health (2026)
Workshop Organizer
- The 1st Workshop on Social Embodied AI (SEAI), in conjunction with WACV 2027
Teaching
Teaching Assistant at Rutgers University–New Brunswick
- CS336: Principles of Information and Data Management
Teaching Assistant at UW-Madison
- CS537: Introduction to Operating System
- CS540: Introduction to Artificial Intelligence


