activity
20112021
most citedSolving Electrical Impedance Tomography with Deep Learning

116 citations · 387 across the 27 of their papers we have counts for

collaborators

28 papers

math.NA2021

A Novel Randomized XR-Based Preconditioned CholeskyQR Algorithm

Yuwei Fan, Yixiao Guo, Ting Lin

CholeskyQR is a simple and fast QR decomposition via Cholesky decomposition, while it has been considered highly sensitive to the condition number. In this paper, we provide a rand…

math.NA2021

Multi-Level Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data

Zhihan Li, Yuwei Fan, Lexing Ying

In scientific machine learning, regression networks have been recently applied to approximate solution maps (e.g., potential-ground state map of Schrödinger equation). In this pape…

math.NA2020★ 9 cited

A Simple Multiscale Method for Mean Field Games

Haoya Li, Yuwei Fan, Lexing Ying

This paper proposes a multiscale method for solving the numerical solution of mean field games which accelerates the convergence and addresses the problem of determining the initia…

cond-mat.stat-mech2020

Hyperbolic Model Reduction for Kinetic Equations

Zhenning Cai, Yuwei Fan, Ruo Li

We make a brief historical review to the moment model reduction to the kinetic equations, particularly the Grad's moment method for Boltzmann equation. The focus is on the hyperbol…

physics.comp-ph2019★ 10 cited

Solving Inverse Wave Scattering with Deep Learning

Yuwei Fan, Lexing Ying

This paper proposes a neural network approach for solving two classical problems in the two-dimensional inverse wave scattering: far field pattern problem and seismic imaging. The…

math.NA2019

Solving Traveltime Tomography with Deep Learning

Yuwei Fan, Lexing Ying

This paper introduces a neural network approach for solving two-dimensional traveltime tomography (TT) problems based on the eikonal equation. The mathematical problem of TT is to…

math.NA2019

Coarse-Proxy Reduced Basis Methods for Integral Equations

Philip A. Etter, Yuwei Fan, Lexing Ying

In this paper, we introduce a new reduced basis methodology for accelerating the computation of large parameterized systems of high-fidelity integral equations. Core to our methodo…

physics.comp-ph2019★ 10 cited

Solving Optical Tomography with Deep Learning

Yuwei Fan, Lexing Ying

This paper presents a neural network approach for solving two-dimensional optical tomography (OT) problems based on the radiative transfer equation. The mathematical problem of OT…

math.NA2019★ 32 cited

Meta-learning Pseudo-differential Operators with Deep Neural Networks

Jordi Feliu-Faba, Yuwei Fan, Lexing Ying

This paper introduces a meta-learning approach for parameterized pseudo-differential operators with deep neural networks. With the help of the nonstandard wavelet form, the pseudo-…

physics.comp-ph2019★ 116 cited

Solving Electrical Impedance Tomography with Deep Learning

Yuwei Fan, Lexing Ying

This paper introduces a new approach for solving electrical impedance tomography (EIT) problems using deep neural networks. The mathematical problem of EIT is to invert the electri…

physics.class-ph2018★ 1 cited

A Nonlinear Moment Model for Radiative Transfer Equation in Slab Geometry

Yuwei Fan, Ruo Li, Lingchao Zheng

This paper is concerned with the approximation of the radiative transfer equation for a grey medium in the slab geometry by the moment method. We develop a novel moment model inspi…

math.NA2018★ 52 cited

BCR-Net: a neural network based on the nonstandard wavelet form

Yuwei Fan, Cindy Orozco Bohorquez, Lexing Ying

This paper proposes a novel neural network architecture inspired by the nonstandard form proposed by Beylkin, Coifman, and Rokhlin in [Communications on Pure and Applied Mathematic…

physics.comp-ph2018★ 1 cited

Burnett Spectral Method for the Spatially Homogeneous Boltzmann Equation

Zhenning Cai, Yuwei Fan, Yanli Wang

We develop a spectral method for the spatially homogeneous Boltzmann equation using Burnett polynomials in the basis functions. Using the sparsity of the coefficients in the expans…

math.NA2018★ 2 cited

A multiscale neural network based on hierarchical nested bases

Yuwei Fan, Jordi Feliu-Faba, Lin Lin +2

In recent years, deep learning has led to impressive results in many fields. In this paper, we introduce a multi-scale artificial neural network for high-dimensional non-linear map…

math.NA2018★ 23 cited

A multiscale neural network based on hierarchical matrices

Yuwei Fan, Lin Lin, Lexing Ying +1

In this work we introduce a new multiscale artificial neural network based on the structure of -matrices. This network generalizes the latter to the nonlinear case by…

math.NA2018★ 31 cited

Fast algorithms for integral formulations of steady-state radiative transfer equation

Yuwei Fan, Jing An, Lexing Ying

We investigate integral formulations and fast algorithms for the steady-state radiative transfer equation with isotropic and anisotropic scattering. When the scattering term is a s…

math.NA2017★ 1 cited

Filtered Hyperbolic Moment Method for the Vlasov Equation

Yana Di, Yuwei Fan, Zhenzhong Kou +2

In this paper, we investigate the effect of the filter for the hyperbolic moment equations(HME) [15] of the Vlasov-Poisson equations and propose a novel quasi time-consistent filte…

math.NA2017★ 1 cited

Resolving Knudsen Layer by High Order Moment Expansion

Yuwei Fan, Jun Li, Ruo Li +1

We model the Knudsen layer in Kramers' problem by linearized high order hyperbolic moment system. Due to the hyperbolicity, the boundary conditions of the moment system is properly…

math.NA2017

An entropic fourier method for the Boltzmann equation

Zhenning Cai, Yuwei Fan, Lexing Ying

We propose an entropic Fourier method for the numerical discretization of the Boltzmann collision operator. The method, which is obtained by modifying a Fourier Galerkin method to…

math-ph2016★ 1 cited

Linear Stability of Hyperbolic Moment Models for Boltzmann Equation

Yana Di, Yuwei Fan, Ruo Li +1

Grad's moment models for Boltzmann equation were recently regularized to globally hyperbolic systems, and thus the regularized models attain local well-posedness for Cauchy data. T…

math-ph2016★ 11 cited

13-Moment System with Global Hyperbolicity for Quantum Gas

Yana Di, Yuwei Fan, Ruo Li

We point out that the quantum Grad's 13-moment system [R. Yano, Physica A: Statistical Mechanics and its Applications, 416:231-241, 2014] is lack of global hyperbolicity, and even…

math-ph2014★ 41 cited

Model Reduction of Kinetic Equations by Operator Projection

Yuwei Fan, Julian Koellermeier, Jun Li +2

By a further study of the mechanism of the hyperbolic regularization of the moment system for Boltzmann equation proposed in [Z. Cai, Y. Fan, R. Li, Comm. Math. Sci. 11(2): 547-571…

math-ph2014★ 1 cited

A Framework on Moment Model Reduction for Kinetic Equation

Zhenning Cai, Yuwei Fan, Ruo Li

By a further investigation on the structure of the coefficient matrix of the globally hyperbolic regularized moment equations for Boltzmann equation in [Z. Cai, Y. Fan and R. Li, C…

math-ph2014★ 2 cited

On Hyperbolicity of 13-Moment System

Zhenning Cai, Yuwei Fan, Ruo Li

We point out that the thermodynamic equilibrium is not an interior point of the hyperbolicity region of Grad's 13-moment system. With a compact expansion of the phase density, whic…