Borong Zhang- PhD Candidate at University of Wisconsin–Madison
Borong Zhang
- PhD Candidate at University of Wisconsin–Madison
About
4
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Introduction
I am a Ph.D. candidate in Applied and Computational Mathematics at the University of Wisconsin-Madison. I am interested in scientific machine learning and inverse problems.
Skills and Expertise
Current institution
Publications
Publications (4)
We present \textit{Wideband back-projection diffusion}, an end-to-end probabilistic framework for approximating the posterior distribution induced by the inverse scattering map from wideband scattering data. This framework leverages conditional diffusion models coupled with the underlying physics of wave-propagation and symmetries in the problem, t...
This paper introduces a novel deep neural network architecture for solving the inverse scattering problem in frequency domain with wide-band data, by directly approximating the inverse map, thus avoiding the expensive optimization loop of classical methods. The architecture is motivated by the filtered back-projection formula in the full aperture r...
This paper introduces a novel deep neural network architecture for solving the inverse scattering problem in frequency domain with wide-band data, by directly approximating the inverse map, thus avoiding the expensive optimization loop of classical methods. The architecture is motivated by the filtered back-projection formula in the full aperture r...
Health risks from galactic cosmic rays (GCR) in space travel above low earth orbit remain a concern. For many years accelerator experiments investigating space radiation induced prevalence of murine Harderian gland (HG) tumorigenesis have been performed to help estimate GCR risks. Most studies used acute, relatively low fluence, exposures. Results...
