5 citations · 10 across the 16 of their papers we have counts for
4 papers · 1 filter
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map
Zejun Sun, Guang-Hui Zheng
The Bayesian inference is widely used in many scientific and engineering problems, especially in the linear inverse problems in infinite-dimensional setting where the unknowns are…
A general fractional total variation-Gaussian (GFTG) prior for Bayesian inverse problems
Li-Li Wang, Ming-Hui Ding, Guang-Hui Zheng
In this paper, we investigate the imaging inverse problem by employing an infinite-dimensional Bayesian inference method with a general fractional total variation-Gaussian (GFTG) p…
A Hadamard fractioal total variation-Gaussian (HFTG) prior for Bayesian inverse problems
Li-Li Wang, Ming-Hui Ding, Guang-Hui Zheng
This paper studies the infinite-dimensional Bayesian inference method with Hadamard fractional total variation-Gaussian (HFTG) prior for solving inverse problems. First, Hadamard f…
Shape reconstructions by using plasmon resonances
Ming-Hui Ding, Hongyu Liu, Guang-Hui Zheng
We study the shape reconstruction of an inclusion from the {faraway} measurement of the associated electric field. This is an inverse problem of practical importance in biomedical…