He received the Ph.D. degree (‘18) from UCLA advised by Prof. Song-Chun Zhu. His research builds interactive AI by integrating high-level common sense (functionality, affordance, physics, causality, intent) with raw sensory inputs (pixels and haptic signals) to enable richer representation and abstract reasoning on objects, scenes, shapes, numbers, and agents. He is a co-organizer of Vision Meets Cognition (FPIC) workshops, 3D Scene Understanding for Vision, Graphics, and Robotics workshops, and Virtual Reality Meets Physical Reality workshops.
His group is looking for highly motivated undergrads, Ph.D. students, and postdocs with exceptional programming skills and solid math backgrounds to work on 3D computer vision, abstract reasoning, physics-based simulation, and cognitive robot. [Reading List]
PhD in Statistics, 2018
MS in Computer Science, 2013
BEng in Software Engineering, 2012
Xi'an Jiaotong University