Dr. Yixin Zhu received a 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.

During his Ph.D. and postdoc studies, his work was supported by DARPA MSEE, DARPA SIMPLEX, DARPA XAI, ONR MURI on Scene Understanding, and ONR Cognitive Systems for Human-Machine Teaming.

[CV] [Dissertation]

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.

[To Prospective Students]


[CogSci22] What Is the Point? A Theory of Mind Model of Relevance
[NeurIPS21] Unsupervised Foreground Extraction via Deep Region Competition
[ICCV21] YouRefIt: Embodied Reference Understanding with Language and Gesture
[IROS21] Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations
[IROS21] Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective
[CogSci21] Individual vs. Joint Perception: a Pragmatic Model of Pointing as Communicative Smithian Helping
[ICRA21] Reconstructing Interactive 3D Scene by Panoptic Mapping and CAD Model Alignments
[Engineering20] Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
[SIGGRAPH20] A Massively Parallel and Scalable Multi-GPU Material Point Method
[ICRA20] Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs
[NeurIPS19] Learning Perceptual Inference by Contrasting


Shiqian Li

Shiqian Li

CoRe, Ph.D.@PKU, 2022 Fall

Manjie Xu

Manjie Xu

CoRe, M.Sc.@BIT, 2022 Fall

Nan Jiang

Nan Jiang

CV, Ph.D.@PKU, 2022 Fall


  • Wenhe Zhang, Master, Computer Science, UCLA, 2020 Fall
  • Xiaojian Ma, Master, Computer Science, UCLA, 2019 Fall
  • Xiaolin Fang, Ph.D., CSAIL, MIT, 2019 Fall
  • Shu Wang, Ph.D., Statistics, UCLA, 2018 Fall
  • Wenwen Si, Master, Computer Vision, CMU, 2018 Fall
  • Hangxin Liu, Ph.D., Computer Science, UCLA, 2018 Spring
  • Jenny Lin, Ph.D., Computer Science, CMU, 2017 Fall
  • Mark Edmonds, Ph.D., Computer Science, UCLA, 2017 Fall
  • Tian Ye, Master, Robotics, CMU, 2017 Fall
  • Feng Gao, Master, Statistics, UCLA, 2017 Fall
  • Xu Xie, Master, Statistics, UCLA, 2017 Fall
  • Xingwen Guo, Master, Computer Science, Yale, 2017 Fall
  • Chi Zhang, Master, Computer Science, UCLA, 2017 Fall
  • Jingyu Shao, Master, Statistics, UCLA, 2016 Winter
  • Yutong Zhang, Master in Computer Science, UCLA, 2015 Fall