research
∙
09/21/2023
OSNet MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios
Recently, linear computed tomography (LCT) systems have actively attract...
share
research
∙
08/08/2023
Constructing Custom Thermodynamics Using Deep Learning
One of the most exciting applications of AI is automated scientific disc...
research
∙
05/30/2023
BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction
Micro-computed tomography (micro-CT) is a widely used state-of-the-art i...
research
∙
12/26/2022
Improved Laguerre Spectral Methods with Less Round-off Errors and Better Stability
Laguerre polynomials are orthogonal polynomials defined on positive half...
research
∙
04/29/2021
Efficient Spectral Methods for Quasi-Equilibrium Closure Approximations of Symmetric Problems on Unit Circle and Sphere
Quasi-equilibrium approximation is a widely used closure approximation a...
research
∙
09/06/2020
OnsagerNet: Learning Stable and Interpretable Dynamics using a Generalized Onsager Principle
We propose a systematic method for learning stable and interpretable dyn...
research
∙
04/10/2020
An Energy Stable Linear Diffusive Crank-Nicolson Scheme for the Cahn-Hilliard Gradient Flow
We propose and analyze a linearly stabilized semi-implicit diffusive Cra...
research
∙
11/07/2019
ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units using Chebyshev Approximations
In a recent paper[B. Li, S. Tang and H. Yu, arXiv:1903.05858, to appear ...
research
∙
09/09/2019
PowerNet: Efficient Representations of Polynomials and Smooth Functions by Deep Neural Networks with Rectified Power Units
Deep neural network with rectified linear units (ReLU) is getting more a...
research
∙
05/06/2019
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT
The potential huge advantage of spectral computed tomography (CT) is its...
research
∙
08/04/2018
