Li Yi is a tenure-track assistant professor in the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University. He received his Ph.D. from Stanford University, advised by Professor Leonidas J. Guibas. And he was previously a Research Scientist at Google. Before joining Stanford, he got his B.E. in Electronic Engineering from Tsinghua University. His recent research focuses on 3D computer vision and humanoid robot learning, and his mission is to equip robotic agents with the ability of understanding and interacting with the 3D world. He has published papers at top-tier computer vision, computer graphics, and machine learning conferences with more than 25000 citations. And he has served as an Area Chair for CVPR, ICCV, IJCAI, and NeurIPS. His representative work includes ShapeNet-Part, SyncSpecCNN, and PointNet++.
