Yixin Zhu

Yixin Zhu

Assistant Professor

PKU Institute for AI

PKU School of AI

Biography

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 cognitive reasoning on objects, scenes, shapes, numbers, and agents. Dr. Zhu directs the PKU CoRe (Cognitive Reasoning) lab, working on abstract reasoning, visually grounded reasoning, and interactive reasoning.

[CV] [Dissertation]

To Prospective Students Please read before sending any emails
Reading List This is where you can get started
通班相关文章 汇集官方和权威渠道对通班的报道

Publications

[IJCV22] Scene Reconstruction with Functional Objects for Robot Autonomy
[IROS22] Sequential Manipulation Planning on Scene Graph
[RA-L/IROS22] Understanding Physical Effects for Effective Tool-use
[ICML22] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
[JCB2022] Sharing Rewards Undermines Coordinated Hunting
[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

Students

*
Yida Niu

Yida Niu

Human-Robot Teaming, Ph.D.@PKU, ‘23

Jieming Cui

Jieming Cui

CV, Ph.D.@PKU, ‘23

Shiqian Li

Shiqian Li

CoRe, Ph.D.@PKU, ‘22

Manjie Xu

Manjie Xu

CoRe, M.Sc.@BIT, ‘22

Nan Jiang

Nan Jiang

CV, Ph.D.@PKU, ‘22

Guangyuan Jiang

Guangyuan Jiang

CoRe, Undergrad@PKU, ‘20

Yuzhe Shi

Yuzhe Shi

CoRe, Undergrad@HUST, ‘18

Alumni

  • 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