I'm a highly motivated PhD student at MultiPLES Lab, UCLA Department of Mathematics, advised by Prof. Chenfanfu Jiang. Before that, I was a PhD student at Sig Lab, the University of Pennsylvania, working in the same group. 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.


A Generalized Constitutive Model for Versatile MPM Simulation and Inverse Learning with Differentiable Physics

Haozhe Su*, Xuan Li*, Tao Xue, Chenfanfu Jiang, and Mridul Aanjaneya.

*Equal contributions.

Symposium on Computer Animation (SCA). 2023.

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.


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.



Differentiable Rasterizer for Vector Font Generation and Editing

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

US11392806B2. Adobe Inc. 2022.


MIT-IBM Watson AI Lab

Research Intern

Jun, 2022 - Sep, 2022

Creative Intelligence Lab, Adobe Research

Deep Learning Research Intern

May, 2019 - Nov, 2019