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20112022
most citedLocal Analysis of Inverse Problems: Hölder Stability and Iterative Reconstruction

90 citations · 201 across the 12 of their papers we have counts for

collaborators

12 papers

math.OC2022★ 1 cited

Flow Measurement: An Inverse Problem Formulation

Jiwei Li, Lingyun Qiu, Zhongjing Wang +1

This paper proposes a new mathematical formulation for flow measurement based on the inverse source problem for wave equations with partial boundary measurement. Inspired by the de…

cs.CV2022★ 2 cited

Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization

Xintong Liu, Jianyu Wang, Leping Xiao +3

The non-line-of-sight imaging technique aims to reconstruct targets from multiply reflected light. For most existing methods, dense points on the relay surface are raster scanned t…

eess.IV2022★ 69 cited

Non-line-of-sight imaging with arbitrary illumination and detection pattern

Xintong Liu, Jianyu Wang, Leping Xiao +3

Non-line-of-sight (NLOS) imaging aims at reconstructing targets obscured from the direct line of sight. Existing NLOS imaging algorithms require dense measurements at rectangular g…

math.NA2020★ 8 cited

Analysis of Seismic Inversion with Optimal Transportation and Softplus Encoding

Lingyun Qiu

This paper is devoted to theoretical and numerical investigation of the local minimum issue in seismic full waveform inversion (FWI). This paper provides a mathematical analysis of…

math.NA2017★ 12 cited

Determining anisotropic conductivity using diffusion tensor imaging data in magneto-acoustic tomography with magnetic induction

Habib Ammari, Lingyun Qiu, Fadil Santosa +1

In this paper we present a mathematical and numerical framework for a procedure of imaging anisotropic electrical conductivity tensor by integrating magneto-acoutic tomography with…

math.AP2015

Applications of CGO Solutions on Coupled-Physics Inverse Problems

Ilker Kocyigit, Ru-Yu Lai, Lingyun Qiu +2

This paper surveys inverse problems arising in several coupled-physics imaging modalities for both medical and geophysical purposes. These include Photo-acoustic Tomography (PAT),…

math.NA2015

Analysis of the Magneto-acoustic Tomography with Magnetic Induction (MAT-MI)

Lingyun Qiu, Fadil Santosa

Magnetoacoustic tomography with magnetic induction (MAT-MI) is a coupled-physics medical imaging modality for determining conductivity distribution in biological tissue. The capabi…

math.FA2014★ 1 cited

Generalized Convergence Rates Results for Linear Inverse Problems in Hilbert Spaces

Roman Andreev, Peter Elbau, Maarten V. de Hoop +2

In recent years, a series of convergence rates conditions for regularization methods has been developed. Mainly, the motivations for developing novel conditions came from the desir…

math.NA2014★ 8 cited

Inverse boundary value problem for the Helmholtz equation: Multi-level approach and iterative reconstruction

Elena Beretta, Maarten V. de Hoop, Lingyun Qiu +1

We study the inverse boundary value problem for the Helmholtz equation using the Dirichlet-to-Neumann map at selected frequency as the data. We develop an explicit reconstruction o…

math.NA2012★ 9 cited

A convergence analysis of a multi-level projected steepest descent iteration for nonlinear inverse problems in Banach spaces subject to stability constraints

Maarten V. de Hoop, Lingyun Qiu, Otmar Scherzer

We consider nonlinear inverse problems described by operator equations in Banach spaces. Assuming conditional stability of the inverse problem, that is, assuming that stability hol…

math.AP2012★ 1 cited

Lipschitz stability of an inverse boundary value problem for a Schrödinger type equation

Elena Beretta, Maarten V. de Hoop, Lingyun Qiu

In this paper we study the inverse boundary value problem of determining the potential in the Schrödinger equation from the knowledge of the Dirichlet-to-Neumann map, which is comm…

math.FA2011★ 90 cited

Local Analysis of Inverse Problems: Hölder Stability and Iterative Reconstruction

Maarten V. de Hoop, Lingyun Qiu, Otmar Scherzer

We consider a class of inverse problems defined by a nonlinear map from parameter or model functions to the data. We assume that solutions exist. The space of model functions is a…