[Xiaohan :)]
Xiaohan Ye
PhD Student, HKU
Email: u3010417 (at) connect.hku.hk
Xiaohan Ye (叶骁寒) is a PhD Student at The University of Hong Kong, supervised by Prof. Taku Komura. Previously, he obtained his master's degree from Nankai University, supervised by Bo Ren. and also worked as a research intern at LightSpeed Studios, Tencent, working with Zherong Pan and Kui Wu. His current research interests focus on robot simulation and physics informed robot learning.
PrePrint
[LRI]
Efficient Differentiable Contact Model with Long-range Influence
Xiaohan Ye, Kui Wu, Zherong Pan†, and Taku Komura†
PrePrint / Homepage / Paper / Code
Research
(* indicates equal contribution, † indicates corresponding author)
[SDRS]
SDRS: Shape-Differentiable Robot Simulator
Xiaohan Ye, Kui Wu, Xifeng Gao, Zherong Pan†, and Taku Komura†
IEEE Transactions on Robotics (T-RO), 2025 / Homepage / Paper / Code
[CFC]
CFC: Simulating Character-Fluid Coupling using a Hierarchical World Model
Zhiyang Dou*, Chen Peng*, Xinyu Lu, Xiaohan Ye, Lixing Fang, Yuan Liu, Wenping Wang, Chuang Gan, Lingjie Liu and Taku Komura†
ACM Transactions on Graphics. SIGGRAPH Asia 2025. / Homepage / Paper / Code
[DIFFFR]
DiffFR: Differentiable SPH-based Fluid-Rigid Coupling for Rigid Body Control
Zhehao Li, Qingyu Xu, Xiaohan Ye, Bo Ren, Ligang Liu
ACM Transactions on Graphics. SIGGRAPH Asia 2023 / Homepage / Paper / Code
[FLUID]
Versatile Control of Fluid-Directed Solid Objects Using Multi-Task Reinforcement Learning
Xiaohan Ye, Zherong Pan, Taiyuan Zhang and Bo Ren†
ACM Transactions on Graphics. SIGGRAPH Asia 2022 / Homepage / Paper/ Code
[DIFFMA]
Differentiable Learning of Scalable Multi-Agent Navigation Policies
Xiaohan Ye, Zherong Pan, Xifeng Gao, Kui Wu and Bo Ren†
IEEE Robotics and Automation Letters (RA-L), 2023 / Homepage / Paper/ Code