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Yunzhu Li: Learning Physical Interaction through Scalable Tactile Sensing #ICBS2026
[ICML 2020] Visual Grounding of Learned Physical Models
Yunzhu Li - Scaling Robotic Manipulation via Structured World Models and Tactile Sensing
[ICRA 2019] Propagation Networks for Model-Based Control Under Partial Observation
3D Neural Scene Representations for Visuomotor Control by Yunzhu Li, Shuang Li, Vincent Sitzmann, Pu
Yunzhu Li：Learning Structured World Models From and For Physical Interactions | ICCV25 L2S
[ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
CSAIL Alliances Student Spotlight: Yunzhu Li
[NeurIPS 2020] Causal Discovery in Physical Systems from Videos
Yunzhu Li: Learning Structured World Models From and For Physical Interactions
Yunzhu Li (Columbia): Structured World Models as Scalable Data Engines for Policy Training and Eval
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Last Updated: August 24, 2026
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![Information [ICLR-21 simDL] [Invited Talk] Compositional Dynamics Modeling for Physical Inference and Control Guide](https://i.ytimg.com/vi/sfblDZeyjk8/mqdefault.jpg)
![[NeurIPS 2023] Model-Based Control with Sparse Neural Dynamics News](https://i.ytimg.com/vi/tSfmD2iuFTA/mqdefault.jpg)
![[ICML 2020] Visual Grounding of Learned Physical Models](https://i.ytimg.com/vi/P_LrG0lzc-0/mqdefault.jpg)
![[ICRA 2019] Propagation Networks for Model-Based Control Under Partial Observation](https://i.ytimg.com/vi/ZAxHXegkz48/mqdefault.jpg)
![[ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control](https://i.ytimg.com/vi/MnXo_hjh1Q4/mqdefault.jpg)
![[NeurIPS 2020] Causal Discovery in Physical Systems from Videos](https://i.ytimg.com/vi/hRsCt8xLn_8/mqdefault.jpg)
