Ye Li
I am a first-year Ph.D. student in Computer Science and Engineering at the University of Michigan, Ann Arbor, advised by Prof. Stella X. Yu.
Previously, I received my M.S. in Robotics from the University of Michigan, Ann Arbor in 2025, advised by Prof. Xiaonan (Sean) Huang.
In 2024, I visited the BAIR at UC Berkeley, working with Prof. Kurt Keutzer.
I received my bachelor’s degree in 2023 from the College of Automotive Engineering at Jilin University.
I am open to discussions and collaborations in robotics and autonomous driving. Feel free to drop me an email if you find our research a potential match.
Email  / 
Google Scholar  / 
Github  / 
LinkedIn
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News
2025/05 - We are organizing the RoboSense Challenge at IROS 2025!
2025/01 - Two papers were accepted at ICLR 2025!
2024/09 - One paper was accepted at NeurIPS 2024 as a spotlight!
2024/05 - Invited talk at the RoboDrive Challenge, ICRA 2024.
2024/01 - One paper was accepted at ICRA 2024!
2023/09 - We are organizing Tensegrity Robotics Workshop at IROS 2023!
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Selected Publications
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A new scheme of vehicle detection for severe weather based on multi-sensor fusion
Zhangu Wang,
Jun Zhan,
Ye Li,
Zhaohui Zhong,
Zikun Cao
Measurement, Volume 191, 2022, 110737
[paper]
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Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception
Xiaohao Xu,
Ye Li,
Tianyi Zhang,
Jinrong Yang,
Matthew Johnson-Roberson,
Xiaonan Huang
2025 IEEE International Conference on Automation Science and Engineering
[paper]
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Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video
Xiaohao Xu,
Tianyi Zhang,
Shibo Zhao,
Xiang Li,
Sibo Wang,
Yongqi Chen,
Ye Li,
Bhiksha Raj,
Matthew Johnson-Roberson,
Sebastian Scherer,
Xiaonan Huang
International Conference on Learning Representations (ICLR), 2025.
[paper]
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