Yixin Zhu

Yixin Zhu

Assistant Professor

PKU Institute for 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 Lab, working on abstract reasoning, visually grounded reasoning, and interactive reasoning.

[CV] [Dissertation]

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Pre-Print

[arXiv23] Grasp Multiple Objects with One Hand

Publications

[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
[ACL23Demo] PersLEARN: Research Training through the Lens of Perspective Cultivation
[ICML23] On the Complexity of Bayesian Generalization
[CVPR23] Diffusion-based Generation, Optimization, and Planning in 3D Scenes