Peihong Yu
About Me
I’m a Senior Machine Learning Engineer at XPeng, where I work on reinforcement learning for end-to-end autonomous driving systems.
I completed my Ph.D. in Computer Science at the University of Maryland, College Park, advised by Prof. Pratap Tokekar. My research focused on Reinforcement Learning, particularly Multi-Agent RL, addressing fundamental challenges in training efficiency and generalizability.
Prior to that, I earned my Master’s degree from ShanghaiTech University, where I worked on SLAM and 3D Reconstruction with Prof. Jingyi Yu and Prof. Laurent Kneip.
Experiences
XPeng
Senior MLE
Aug. 2025 - Present
SRI International
Research Scientist Intern
Summer 2023
Meta Reality Lab
Research Scientist Intern
Summer 2022
Publications
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NeurIPS 2025
The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 -
RSS 2025
Robotics: Science and Systems, 2025 -
DC@AAMAS 2025
Doctoral Consortium @ AAMAS, 2025 -
AAMAS 2025
The 24th International Conference on Autonomous Agents and Multi-Agent Systems, 2025 -
TMLR 2025
Transactions on Machine Learning Research, 2025 -
OOD@CORL 2023
Workshop on Out-of-Distribution Generalization in Robotics at CoRL, 2023 -
IEEE Access 2020
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ICCV 2017
IEEE International Conference on Computer Vision (ICCV), 2017 -
ICCP 2017
IEEE International Conference on Computational Photography (ICCP), 2017
Preprints
Preprint
Preprint
Services
Conference Reviewers
- IEEE International Conference on Robotics and Automation (ICRA), 2020, 2023
- The International Conference on Learning Representations (ICLR), 2024, 2025
Journal Reviewers
- IEEE Robotics and Automation Letters (RA-L), 2020, 2025
Mentoring
Teaching Asistants
- CMSC 351: Algorithms @ UMD, Fall 2019, Fall 2020
- CMSC 421: Introduction to Artificial Intelligence @ UMD, Spring 2020, Fall 2021, Spring 2021, Spring 2025
- CMSC 742: Algorithms in Machine Learning: Guarantees and Analyses @ UMD, Spring 2023
Mentoring
- AI4ALL Summer Program @ UMD
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