| A direct sampling method for simultaneously recovering inhomogeneous inclusions of different nature YT Chow, F Han, J Zou SIAM Journal on Scientific Computing 43 (3), A2161-A2189, 2021 | 19 | 2021 |
| A direct sampling-based deep learning approach for inverse medium scattering problems J Ning, F Han, J Zou Inverse Problems 40 (1), 015005, 2023 | 11 | 2023 |
| A direct sampling method for the inversion of the Radon transform YT Chow, F Han, J Zou SIAM Journal on Imaging Sciences 14 (3), 1004-1038, 2021 | 10 | 2021 |
| A Direct Sampling Method and Its Integration with Deep Learning for Inverse Scattering Problems with Phaseless Data J Ning, F Han, J Zou arXiv preprint arXiv:2403.02584, 2024 | 4 | 2024 |
| Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators F Han, S Osher, W Li arXiv preprint arXiv:2401.13125, 2024 | 4 | 2024 |
| A direct sampling method for simultaneously recovering electromagnetic inhomogeneous inclusions of different nature YT Chow, F Han, J Zou Journal of Computational Physics 470, 111584, 2022 | 4 | 2022 |
| Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals F Han, S Osher, W Li arXiv preprint arXiv:2409.01567, 2024 | 1 | 2024 |
| Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization M Zhang, F Han, YT Chow, S Osher, H Schaeffer arXiv preprint arXiv:2412.11485, 2024 | | 2024 |
