Jingzhi Li

Jingzhi Li

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Jingzhi Li

Department of Mathematics, Southern University of Science and Technology, Shenzhen, China

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2013 in Inverse Problems and Imaging
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JLJingzhi Li
Jingzhi Li
JZJun Zou
Jun Zou
This work is concerned with a direct sampling method (DSM) for inverse acoustic scattering problems using far-field data. Using one or few incident waves, the DSM provides quite reasonable profiles of scatterers in time-harmonic inverse acoustic scattering without a priori knowledge of either the physical properties or the number of disconnected components of the scatterer. We shall first present a novel derivation of the DSM using far-field data, then carry out a systematic evaluation of the performances and distinctions of the DSM using both near-field and far-field data. A new interpretation from the physical perspective is provided based on some numerical observations. It is shown from a variety of numerical experiments that the method has several interesting and promising potentials: a) ability to identify not only medium scatterers, but also obstacles, and even cracks, using measurement data from one or few incident directions, b) robustness with respect to large noise, and c) computational efficiency with only inner products involved.

4 February 2019 in Inverse Problems
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MKMichael V Klibanov
Michael V Klibanov
JLJingzhi Li
Jingzhi Li
WZWenlong Zhang
Wenlong Zhang
We propose a new numerical method to reconstruct the isotropic electrical conductivity from measured restricted Dirichlet-to-Neumann map data in electrical impedance tomography (EIT). ‘Restricted Dirichlet-to-Neumann (DtN) map data’ means that the Dirichlet and Neumann boundary data for EIT are generated by a point source running either along an interval of a straight line or along a curve located outside of the domain of interest. We ‘convexify’ the problem via constructing a globally strictly convex Tikhonov-like functional using a Carleman weight function. In particular, two new Carleman estimates are established. Global convergence to the correct solution of the gradient projection method for this functional is proven. Numerical examples demonstrate a good performance of this numerical procedure.

29 June 2018 in Inverse Problems
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DZDeyue Zhang
Deyue Zhang
YGYukun Guo
Yukun Guo
JLJingzhi Li
Jingzhi Li
Hongyu LiuHongyu Liu
Hongyu Liu
This paper is concerned with the inverse source problem of reconstructing an unknown acoustic excitation from phaseless measurements of the radiated fields away at multiple frequencies. It is well known that the non-uniqueness issue is a major challenge associated with such an inverse problem. We develop a novel strategy to overcome this challenging problem by recovering the radiated fields via adding some reference point sources as extra artificial sources to the inverse source system. This novel reference source technique requires only a few extra data, and brings in a simple phase retrieval formula. The stability of this phase retrieval approach is rigorously analyzed. After the reacquisition of the phase information, the multi-frequency inverse source problem with recovered phase information is solved by the Fourier method, which is non-iterative, fast and easy to implement. Several numerical examples are presented to demonstrate the feasibility and effectiveness of the proposed method.

1 January 2019 in SIAM Journal on Applied Mathematics
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MKMichael V. Klibanov
Michael V. Klibanov
JLJingzhi Li
Jingzhi Li
WZWenlong Zhang
Wenlong Zhang
An inverse scattering problem for the 3-dimensional acoustic equation in time domain is considered. The unknown spatially distributed speed of sound is the subject of the solution of this problem. ...

15 February 2017 in Inverse Problems
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JLJingzhi Li
Jingzhi Li
Hongyu LiuHongyu Liu
Hongyu Liu
YWYuliang Wang
Yuliang Wang
We consider the electromagnetic scattering from a convex polyhedral PEC or PMC obstacle due to a time-harmonic incident plane wave. It is shown that the modulus of the far-field pattern in the backscattering aperture possesses a certain local maximum behavior. Using the local maximum indicating phenomena, one can determine the exterior unit normal directions, as well as the face areas, of the front faces of the obstacle. Then we propose a recovery scheme of reconstructing the obstacle by phaseless backscattering measurements. This work significantly extends our recent study in Li and Liu (2014 preprint) from two dimensions and acoustic scattering to the more challenging three dimensions and electromagnetic scattering.

19 November 2020 in Communications in Mathematical Physics
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JLJingzhi Li
Jingzhi Li
Hongyu LiuHongyu Liu
Hongyu Liu
SMShiqi Ma
Shiqi Ma