24 citations · 112 across the 40 of their papers we have counts for
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A Weak Galerkin Method for Elasticity Interface Problems
Chunmei Wang, Shangyou Zhang
This article introduces a weak Galerkin (WG) finite element method for linear elasticity interface problems on general polygonal/ployhedra partitions. The developed WG method has b…
Active Learning Based Sampling for High-Dimensional Nonlinear Partial Differential Equations
Wenhan Gao, Chunmei Wang
The deep-learning-based least squares method has shown successful results in solving high-dimensional non-linear partial differential equations (PDEs). However, this method usually…
An - Primal-Dual Weak Galerkin Method for Convection-Diffusion Equations
Waixiang Cao, Chunmei Wang, Junping Wang
In this article, the authors present a new - primal-dual weak Galerkin method (-PDWG) for convection-diffusion equations with . The existence and uniqueness of the n…
Adaptive Learning on the Grids for Elliptic Hemivariational Inequalities
Jianguo Huang, Chunmei Wang, Haoqin Wang
This paper introduces a deep learning method for solving an elliptic hemivariational inequality (HVI). In this method, an expectation minimization problem is first formulated based…
Reproducing Activation Function for Deep Learning
Senwei Liang, Liyao Lyu, Chunmei Wang +1
We propose reproducing activation functions (RAFs) to improve deep learning accuracy for various applications ranging from computer vision to scientific computing. The idea is to e…
A New Numerical Method for Div-Curl Systems with Low Regularity Assumptions
Shuhao Cao, Chunmei Wang, Junping Wang
This paper presents a numerical method for div-curl systems with normal boundary conditions by using a finite element technique known as primal-dual weak Galerkin (PDWG). The PDWG…