Zobrazeno 1 - 10
of 508
pro vyhledávání: '"Chen Junqing"'
The inverse medium problem, inherently ill-posed and nonlinear, presents significant computational challenges. This study introduces a novel approach by integrating a Neumann series structure within a neural network framework to effectively handle mu
Externí odkaz:
http://arxiv.org/abs/2409.09480
In this paper, we propose Neumann Series Neural Operator (NSNO) to learn the solution operator of Helmholtz equation from inhomogeneity coefficients and source terms to solutions. Helmholtz equation is a crucial partial differential equation (PDE) wi
Externí odkaz:
http://arxiv.org/abs/2401.13494
We propose a novel iterative numerical method to solve the three-dimensional inverse obstacle scattering problem of recovering the shape of the obstacle from far-field measurements. To address the inherent ill-posed nature of the inverse problem, we
Externí odkaz:
http://arxiv.org/abs/2311.07187
Multimodal emotion recognition (MER) aims to detect the emotional status of a given expression by combining the speech and text information. Intuitively, label information should be capable of helping the model locate the salient tokens/frames releva
Externí odkaz:
http://arxiv.org/abs/2309.02106
Autor:
Chen, Junqing, Sun, Ming
Exploring the origin and properties of magnetic fields is crucial to the development of many fields such as physics, astronomy and meteorology. We focus on the edge element approximation and theoretical analysis of celestial dynamo system with quasi-
Externí odkaz:
http://arxiv.org/abs/2307.03566
Autor:
Cai, Lide, Chen, Junqing
We propose reverse time migration (RTM) methods for the imaging of periodic obstacles using only measurements from lower or upper side of the obstacle arrays at a fixed frequency. We analyze the resolution of the lower side and upper side RTM methods
Externí odkaz:
http://arxiv.org/abs/2304.03597
Autor:
Chen, Junqing, Long, Zehao
Conductivity reconstruction in an inverse eddy current problem is considered in the present paper. With the electric field measurement on part of domain boundary, we formulate the reconstruction problem to a constrained optimization problem with tota
Externí odkaz:
http://arxiv.org/abs/2303.14365
Autor:
Chen, Junqing, Liu, Haibo
We propose an alternating direction method of multipliers (ADMM) to solve an optimization problem stemming from inverse lithography. The objective functional of the optimization problem includes three terms: the misfit between the imaging on wafer an
Externí odkaz:
http://arxiv.org/abs/2209.10814
Green's function plays a significant role in both theoretical analysis and numerical computing of partial differential equations (PDEs). However, in most cases, Green's function is difficult to compute. The troubles arise in the following three folds
Externí odkaz:
http://arxiv.org/abs/2204.13247
Autor:
Song, Wenbin, Zhang, Mingrui, Wallwork, Joseph G., Gao, Junpeng, Tian, Zheng, Sun, Fanglei, Piggott, Matthew D., Chen, Junqing, Shi, Zuoqiang, Chen, Xiang, Wang, Jun
Mainstream numerical Partial Differential Equation (PDE) solvers require discretizing the physical domain using a mesh. Mesh movement methods aim to improve the accuracy of the numerical solution by increasing mesh resolution where the solution is no
Externí odkaz:
http://arxiv.org/abs/2204.11188