About Me

Hi! My name is Suning Huang (黄苏宁). I am a second-year Ph.D. student at Stanford University, advised by Prof. Mac Schwager and Prof. Jeannette Bohg. I am affiliated with the Stanford AI Lab. Previously, I received my B.Eng. degree at Tsinghua University.

During my undergraduate study, I was fortunate to be mentored by Prof. Huazhe Xu. I was also a research visiting student at MIT CSAIL, under the supervision of Prof. Vincent Sitzmann.

My reseach interest lies in the intersection of robotics and machine learning. Particularly, I focus on developing robotic systems capable of compositional generalization and robust real-world learning from diverse, unstructured data.

Publications

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation

Suning Huang, Qianzhong Chen, Xiaohan Zhang, Jiankai Sun, Mac Schwager

CoRL 2025 [Project]

A state-of-the-art 3D point cloud world model for complex scene dynamics modeling, enabling accurate dynamics prediction across multi-object and multi-material scenarios, and empowering model-based visuomotor control with novel configurations.

MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning

Suning Huang*, Zheyu Zhang*, Tianhai Liang, Yihan Xu, Zhehao Kou, Chenhao Lu, Guowei Xu, Zhengrong Xue, Huazhe Xu

ICML 2025 [Project]

A model-free visual RL algorithm achieving state-of-the-art performances in learning efficiency and performance on various tasks. The policy can even be directly trained on real robot to play tabletop golf!

DittoGym: Learning to Control Soft Shape-Shifting Robots

Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann

ICLR 2024 [Project]

A modeling of the highly-reconfigurable robot within a MPM-powered simulator, along with effective coarse-to-fine curriculum for high-dimensional RL policy training and a comprehensive reconfigurable robot testbed.