Bio


I'm a PhD student at AIVC Lab, UCLA Department of Mathematics, advised by Prof. Chenfanfu Jiang. I received my M.S. degree from the Department of Computer Science, the State University of New York at Stony Brook, and my B.S. degree from the Department of Mathematical Sciences, Tsinghua University (China).

My current research focuses on developing physics-based simulation models and applying machine learning techniques to enhance simulation accuracy and efficiency. I am also interested in sim2real/real2sim applications, which aim to bridge the gap between simulated environments and real-world systems.


Publications


VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality

Ying Jiang*, Chang Yu*, Tianyi Xie*, Xuan Li*, Yutao Feng, Huamin Wang, Minchen Li, Henry Lau, Feng Gao, Yin Yang, and Chenfanfu Jiang.

*Equal contributions.

Arxiv. 2024.

[Paper] [Project Page]


PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

Tianyi Xie*, Zeshun Zong*, Yuxing Qiu*, Xuan Li*, Yutao Feng, Yin Yang, and Chenfanfu Jiang.

*Equal contributions.

Arxiv. 2023.

[Paper] [Project Page]


PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF

Yutao Feng, Yintong Shang, Xuan Li, Tianjia Shao, Chenfanfu Jiang, and Yin Yang.

Arxiv. 2023.

[Paper] [Project Page]



Subspace-Preconditioned GPU Projective Dynamics with Contact for Cloth Simulation

Xuan Li, Yu Fang, Lei Lan, Huamin Wang, Yin Yang, Minchen Li, and Chenfanfu Jiang.

SIGGRAPH Asia. 2023.

[Paper] [Video]


Neural Stress Fields for Reduced-order Elastoplasticity and Fracture

Zeshun Zong, Xuan Li, Minchen Li, Maurizio M. Chiaramonte, Wojciech Matusik, Eitan Grinspun, Kevin Carlberg, Chenfanfu Jiang, and Peter Yichen Chen.

SIGGRAPH Asia. 2023.

[Paper] [Video]


Augmented Incremental Potential Contact for Sticky Interactions

Yu Fang*, Minchen Li*, Yadi Cao, Xuan Li, Joshuah Wolper, Yin Yang, and Chenfanfu Jiang.

*Equal contributions.

IEEE Transactions on Visualization and Computer Graphics (TVCG). 2023.

[Paper] [Video]




Topology Optimization with Frictional Self-Contact

Zeshun Zong*, Xuan Li*, Jianping Ye, Sian Wen, Yin Yang, Danny M. Kaufman, Minchen Li, and Chenfanfu Jiang.

*Equal contributions.

Arxiv. 2022.

[Paper]






Polycube Shape Space

Hui Zhao, Xuan Li, Na Lei, Xiaoling Wang, Shaodong Wang, Wencheng Wang, and Xiangfeng Gu.

Pacific Graphics (PG). 2019.

[Paper] [Slides]


Conformal Mesh Parameterization using Discrete Calabi Flow

Hui Zhao, Xuan Li, Huabin Ge, Na Lei, Min Zhang, Xiaoling Wang, and Xianfeng Gu.

Geometric Modeling and Processing (GMP). 2018.

[Paper] [Slides] [Data]


Robust Edge-Preserved Surface Mesh Polycube Deformation

Hui Zhao, Na Lei, Xuan Li, Peng Zeng, Ke Xu, and Xianfeng Gu.

Pacific Graphics (PG) Short Paper. 2017.

[Paper]



Patents


Differentiable Rasterizer for Vector Font Generation and Editing

Zhaowen Wang, Zhifei Zhang, Xuan Li, Matthew Fisher, and Hailin Jin.

US11392806B2. Adobe Inc. 2022.



Experience


MIT-IBM Watson AI Lab

Research Intern

Jun, 2022 - Sep, 2022

Creative Intelligence Lab, Adobe Research

Deep Learning Research Intern

May, 2019 - Nov, 2019


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