1 citations · 3 across the 3 of their papers we have counts for
4 papers
A Fast Algorithm for the Finite Expression Method in Learning Dynamics on Complex Networks
Zezheng Song, Chunmei Wang, Haizhao Yang
Complex network data is prevalent in various real-world domains, including physical, technological, and biological systems. Despite this prevalence, predicting trends and understan…
Pseudo-differential integral autoencoder network for inverse PDE operators
Ke Chen, Jasen Lai, Chunmei Wang
Partial differential equations (PDEs) play a foundational role in modeling physical phenomena. This study addresses the challenging task of determining variable coefficients within…
Let data talk: data-regularized operator learning theory for inverse problems
Ke Chen, Chunmei Wang, Haizhao Yang
Regularization plays a pivotal role in integrating prior information into inverse problems. While many deep learning methods have been proposed to solve inverse problems, determini…
Deep Learning via Neural Energy Descent
Wenrui Hao, Chunmei Wang, Xingjian Xu +1
This paper proposes the Nerual Energy Descent (NED) via neural network evolution equations for a wide class of deep learning problems. We show that deep learning can be reformulate…