Automatic shader simplification using surface signal approximation. - Rui Wang 004; Xianjin Yang; Yazhen Yuan; Wei Chen 001; Kavita Bala; Hujun Bao (ACM Trans. Graph., 2014)

Numerical methods for mean field games based on Gaussian processes and Fourier features. - Chenchen Mou; Xianjin Yang; Chao Zhou 010 (J. Comput. Phys., 2022)

A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes. - Xianjin Yang; Houman Owhadi (CoRR, 2023)

Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots. - Théo Bourdais; Pau Batlle; Xianjin Yang; Ricardo Baptista; Nicolas Rouquette; Houman Owhadi (CoRR, 2023)

Sparse Gaussian processes for solving nonlinear PDEs. - Rui Meng; Xianjin Yang (J. Comput. Phys., 2023)

Decoding mean field games from population and environment observations by Gaussian processes. - Jinyan Guo; Chenchen Mou; Xianjin Yang; Chao Zhou 010 (J. Comput. Phys., 2024)

Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks. - Ricardo Baptista; Edoardo Calvello; Matthieu Darcy; Houman Owhadi; Andrew M. Stuart; Xianjin Yang (CoRR, 2025)

Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems. - Jingguo Zhang; Xianjin Yang; Chenchen Mou; Chao Zhou 010 (CoRR, 2025)

Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems. - Xianjin Yang; Jingguo Zhang (CoRR, 2025)