A Direct Sampling Method for the Inversion of the Radon Transform. - Yat Tin Chow; Fuqun Han; Jun Zou 003 (SIAM J. Imaging Sci., 2021)

A Direct Sampling Method for Simultaneously Recovering Inhomogeneous Inclusions of Different Nature. - Yat Tin Chow; Fuqun Han; Jun Zou 003 (SIAM J. Sci. Comput., 2021)

A direct sampling method for simultaneously recovering electromagnetic inhomogeneous inclusions of different nature. - Yat Tin Chow; Fuqun Han; Jun Zou 003 (J. Comput. Phys., 2022)

A Direct Sampling-Based Deep Learning Approach for Inverse Medium Scattering Problems. - Jianfeng Ning; Fuqun Han; Jun Zou 003 (CoRR, 2023)

Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals. - Fuqun Han; Stanley J. Osher; Wuchen Li (CoRR, 2024)

Tensor Train Based Sampling Algorithms for Approximating Regularized Wasserstein Proximal Operators. - Fuqun Han; Stanley J. Osher; Wuchen Li (SIAM/ASA J. Uncertain. Quantification, 2025)

A Direct Sampling Method and Its Integration with Deep Learning for Inverse Scattering Problems with Phaseless Data. - Jianfeng Ning; Fuqun Han; Jun Zou 003 (SIAM J. Sci. Comput., 2025)