Zhuo He — accepted AI-conference papers

2025

Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation?

Yingdong Ru, Lipeng Zhuang, Zhuo He, Florent P. Audonnet, Gerardo Aragon-Camarasa

IROS 2025

This paper presents a rigorous evaluation of Real-to-Sim parameter estimation approaches for fabric manipulation in robotics. The study systematically assesses three state-of-the-art approaches, namely two differential pipelines and a data-driven approach. We also devise a novel physics-informed neu

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2025

Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains

Zhuo He, Shuang Li, Wenze Song, Longhui Yuan, Jian Liang, Han Li +1

ICML 2025poster

Endowing deep models with the ability to generalize in dynamic scenarios is of vital significance for real-world deployment, given the continuous and complex changes in data distribution. Recently, evolving domain generalization (EDG) has emerged to address distribution shifts over time, aiming to c…

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