Xianliang Xu

According to our database, Xianliang Xu authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2025

A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations.

Xianliang Xu, Ye Li, Zhongyi Huang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Convergence analysis of wide shallow neural operators within the framework of Neural Tangent Kernel.

Xianliang Xu, Ye Li, Zhongyi Huang

CoRR, 2024

Physics-Informed Tailored Finite Point Operator Network for Parametric Interface Problems.

Ting Du, Xianliang Xu, Wang Kong, Ye Li, Zhongyi Huang

CoRR, 2024

Convergence Analysis of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks.

Xianliang Xu, Ting Du, Wang Kong, Ye Li, Zhongyi Huang

CoRR, 2024

Convergence of Implicit Gradient Descent for Training Two-Layer Physics-Informed Neural Networks.

Xianliang Xu, Zhongyi Huang, Ye Li

CoRR, 2024

A Priori Estimation of the Approximation, Optimization and Generalization Error of Random Neural Networks for Solving Partial Differential Equations.

Xianliang Xu, Zhongyi Huang

CoRR, 2024

Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks.

Xianliang Xu, Zhongyi Huang

CoRR, 2024