3 papers
cs.CV2026
PE-CSNet: An equivariant network architecture with learnable patch-based sparse representation
Kai Li, Haitao Long, Bo Zhang +2
Compressive sensing (CS) enables accurate signal reconstruction from sparse measurements and is widely applied in medical imaging, remote sensing, and image compression. However, d…
math.NA2025
Learning-Enhanced Variational Regularization for Electrical Impedance Tomography via Calderón's Method
Kai Li, Kwancheol Shin, Zhi Zhou
This paper aims to numerically solve the two-dimensional electrical impedance tomography (EIT) with Cauchy data. This inverse problem is highly challenging due to its severe ill-po…
math.NA2025
A deep learning approach to inverse medium scattering: Learning regularizers from a direct imaging method
Kai Li, Bo Zhang, Haiwen Zhang
This paper aims to solve numerically the two-dimensional inverse medium scattering problem with far-field data. This is a challenging task due to the severe ill-posedness and stron…