Ye Li
I am a second-year Robotics M.S. student advised by Prof. Xiaonan (Sean) Huang at the University of Michigan, Ann Arbor.
I visited the BAIR at UC Berkeley in 2024 advised by Prof. Kurt Keutzer.
In 2023, I received my Bachelor degree from the College of Automotive Engineering at Jilin University.
I am open to discussions and collaborations in physical scene understanding. 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
2025/01 - 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!
2023/09 - I joined the Hybrid Dynamic Robotics Lab at UMich.
2023/08 - I joined the Robotics M.S. program at UMich.
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Publication
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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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Preprint
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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
Preprint, 2024.
[paper]
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Customizable Perturbation Synthesis for Robust SLAM Benchmarking
Xiaohao Xu,
Tianyi Zhang,
Sibo Wang,
Xiang Li,
Yongqi Chen,
Ye Li,
Bhiksha Raj,
Matthew Johnson-Roberson,
Xiaonan Huang
Under review.
[paper]
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