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]

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Publications

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[IJCV22] Scene Reconstruction with Functional Objects for Robot Autonomy

Muzhi Han, Zeyu Zhang, Ziyuan Jiao, Xu Xie, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

[ScienceRobotics22] In situ bidirectional human-robot value alignment

Luyao Yuan, Xiaofeng Gao, Zilong Zheng, Mark Edmonds, Ying Nian Wu, Federico Rossano, Hongjing Lu, Yixin Zhu, Song-Chun Zhu

[ECCV22] Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning

Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu

[IROS22] Sequential Manipulation Planning on Scene Graph

Ziyuan Jiao, Yida Niu, Zeyu Zhang, Song-Chun Zhu, Yixin Zhu, Hangxin Liu

[IROS22] Downwash-aware Control Allocation for Over-actuated UAV Platforms

Yao Su, Chi Chu, Meng Wang, Jiarui Li, Liu Yang, Yixin Zhu, Hangxin Liu

[RA-L/IROS22] Understanding Physical Effects for Effective Tool-use

Zeyu Zhang, Ziyuan Jiao, Weiqi Wang, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

[ICML22] Latent Diffusion Energy-Based Model for Interpretable Text Modeling

Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

[JCB2022] Sharing Rewards Undermines Coordinated Hunting

Minglu Zhao, Ning Tang, Annya Dahmani, Yixin Zhu, Federico Rossano, Tao Gao

[CogSci22] What Is the Point? A Theory of Mind Model of Relevance

Kaiwen Jiang, Annya Dahmani, Stephanie Stacy, Boxuan Jiang, Federico Rossano, Yixin Zhu, Tao Gao

[RA-L/ICRA22] Object Gathering with a Tethered Robot Duo

Yao Su, Yuhong Jiang, Yixin Zhu, Hangxin Liu

[AAIL21] Patching interpretable And-Or-Graph knowledge representation using augmented reality

Hangxin Liu, Yixin Zhu, Song-Chun Zhu

[NeurIPS21] Unsupervised Foreground Extraction via Deep Region Competition

Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

[RA-L21] Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures using Differentiable Force Closure Estimator

Tengyu Liu, Zeyu Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu

[ICCV21] YouRefIt: Embodied Reference Understanding with Language and Gesture

Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang

[ICCV21] Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu

[IROS21] Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations

Ziyuan Jiao, Zeyu Zhang, Xin Jiang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu

[IROS21] Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective

Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu

[IROS21] Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene

Qi Wu, Cheng-Ju Wu, Yixin Zhu, Jungseock Joo

[CogSci21] Individual vs. Joint Perception: a Pragmatic Model of Pointing as Communicative Smithian Helping

Kaiwen Jiang, Stephanie Stacy, Chuyu Wei, Adelpha Chan, Federico Rossano, Yixin Zhu, Tao Gao

[ACL-Findings21] GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning

Zilong Zheng, Shuwen Qiu, Lifeng Fan, Yixin Zhu, Song-Chun Zhu

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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