Yixin Zhu

Yixin Zhu

Assistant Professor

PKU Institute for AI


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 Lab, working on abstract reasoning, visually grounded reasoning, and interactive reasoning.

[CV] [Dissertation]

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PhyRecon: Physically Plausible Neural Scene Reconstruction
Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Zero-Shot Image Feature Consensus with Deep Functional Maps
Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects


[CogSci24] Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities
[CVPR24] Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance
[CVPR24] AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
[CVPR24] Scaling Up Dynamic Human-Scene Interaction Modeling
[RA-L24] Grasp Multiple Objects with One Hand
[ICLR24] SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation
[ICLR24] Neural-Symbolic Recursive Machine for Systematic Generalization
[NeurIPS23] ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
[NeurIPS23] Evaluating and Inducing Personality in Pre-trained Language Models
[IROS23] Learning a Causal Transition Model for Object Cutting
[IROS23] Part-level Scene Reconstruction Affords Robot Interaction
[IROS23] Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators