Yiming Li is a Dean’s PhD Fellow at New York University, advised by Institute Associate Professor Chen Feng. He is also a research intern at NVIDIA Autonomous Vehicle Research Group, advised by Marco Pavone and Boris Ivanovic. He was a research intern at NVIDIA Applied AV Research in 2023 and NVIDIA AI Research in 2022, working with Anima Anandkumar, Jose M. Alvarez, Zhiding Yu, Yue Wang, Zan Gojcic, and Sanja Fidler. Prior to that, he was a visiting scholar at Shanghai Jiao Tong University in 2021 and Tsinghua University in 2020, working with Siheng Chen and Hang Zhao. He has received NVIDIA Graduate Fellowship (2024-2025) and NYU Future Leader Fellowship (2023).

He aims to build trustworthy and sustainable AI-powered autonomous robots and systems for human-centric applications, such as transportation, healthcare, construction, and smart cities. His current focus is on advancing vision-centric intelligent autonomy so that autonomous agents can seamlessly work for and around humans, using visual data as the primary input. His research interests lie at the intersection of robotics, computer vision, and machine learning, including robotic perception, multiagent system, 3D computer vision, neural reconstruction and rendering, self-supervised learning, multimodal LLMs, adversarial learning, uncertainty quantification, and dataset curation. His work has been published in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, RSS, CoRL, RA-L, ICRA, and IROS, with multiple first-author papers selected for NeurIPS Spotlight, CVPR Highlight, and ICCV Oral presentations. He also serves as an Associate Editor for IROS and as a reviewer for these top venues.

For more information, please see his personal website.