YIMING LI
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I am a final-year PhD student at NYU AI4CE Lab led by Chen Feng. I am also an NVIDIA Graduate Fellow at the Autonmous Vehicle Research Group, working closely with Marco Pavone, Jose M. Alvarez, and Sanja Fidler. Before that, I had the opportunity to work as an intern at NVIDIA AI Research advised by Anima Anandkumar in 2022, and a research assistant at Shanghai Jiao Tong University (SJTU) advised by Siheng Chen in 2021.
I will graduate in Fall 2024 and am actively seeking a postdoctoral or industrial position, starting in Spring 2025.
My research vision is to enable collaborative autonomous intelligence by empowering robots with human-level spatial, social, and self-awareness, allowing them to actively perceive and plan in unstructured environments, interact effectively with humans or other robots, and leverage as well as augment the associated memory. To this end, I draw from vision, learning, robotics, graphics, language, sensing, data science, and cognitive science. My research works include developing robust, efficient, and scalable computational models for 3D scene parsing and decision-making from high-dimensional sensory input, as well as curating large-scale datasets to effectively train and verify these models for self-driving and robotics.
I am looking for UG/MS students to work on cutting-edge research projects with me and my collaborators at NYU/NVIDIA/USC/Stanford/Tsinghua. Please send me an email if you are interested!
- Neural Representations for Dynamic Scenes (NeRF/3DGS)
- Vision-Language Models for Spatial Robotics
- Embodied and Cognitive AI for Robotics
- Generative Models for Robotic Perception and Planning
- Dataset Curation and Autolabeling for Spatial Robotics
news
Jun 1, 2024 | We are organizing the 2nd Vision-Centric Autonomous Driving (VCAD) Workshop at ECCV 2024. We invite you to attend our workshop and submit your papers! |
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May 20, 2024 | I served as an Associate Editor for IROS 2024. |
Dec 10, 2023 | I have received NVIDIA Graduate Fellowship (2024-2025) (<2.0% acceptance rate). Thank you, NV ![]() |
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