Xiong-Bin Yan

According to our database, Xiong-Bin Yan authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Robust Physics-Guided Diffusion for Full-Waveform Inversion.

Jishen Peng, Enze Jiang, Zheng Ma, Xiong-Bin Yan

CoRR, March, 2026

2025

ODE-DPS: ODE-Based Diffusion Posterior Sampling for Linear Inverse Problems in Partial Differential Equation.

Enze Jiang, Jishen Peng, Zheng Ma, Xiong-Bin Yan

J. Sci. Comput., March, 2025

Bayesian Inversion with Neural Operator (BINO) for modeling subdiffusion: Forward and inverse problems.

Xiong-Bin Yan, Zhi-Qin John Xu, Zheng Ma

J. Comput. Appl. Math., 2025

2024

ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in Partial Differential Equation.

Enze Jiang, Jishen Peng, Zheng Ma, Xiong-Bin Yan

CoRR, 2024

2023

Identifying a fractional order and a time-dependent coefficient in a time-fractional diffusion wave equation.

Xiong-Bin Yan, Ting Wei

J. Comput. Appl. Math., May, 2023

An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem.

Xiong-Bin Yan, Keke Wu, Zhi-Qin John Xu, Zheng Ma

CoRR, 2023

Asymptotic-Preserving Convolutional DeepONets Capture the Diffusive Behavior of the Multiscale Linear Transport Equations.

Keke Wu, Xiong-Bin Yan, Shi Jin, Zheng Ma

CoRR, 2023

Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion.

Xiong-Bin Yan, Zhi-Qin John Xu, Zheng Ma

CoRR, 2023