Education: Li Yi received his Ph.D. from Stanford University, where he was advised by Professor Leonidas J. Guibas. Before joining Stanford, he earned his B.E. in Electronic Engineering from Tsinghua University.

Professional Experience: Prior to his current position, he was a Research Scientist at Google.

Research Focus: His recent research centers on 3D computer vision, embodied perception, and human-robot interaction. Li Yi's mission is to equip robotic agents with the ability to understand and interact with the 3D world.

Publications and Impact: Li Yi has published extensively in top-tier conferences across computer vision, graphics, and machine learning, with over 20,000 citations. His notable works include ShapeNet-Part, SyncSpecCNN, and PointNet++.

Service: He has served as an Area Chair for conferences such as CVPR, IJCAI, and NeurIPS.