Few-shot learning for image classification comes up as a hot topic in
co...
We propose a model-data asymptotic-preserving neural network(MD-APNN) me...
Based on the perfectly matched layer (PML) technique, this paper develop...
In this paper, we propose and analyze a fully discrete finite element
pr...
In our previous work [SIAM J. Sci. Comput. 43(3) (2021) B784-B810], an
a...
The Calderón formulas (i.e., the combination of single-layer and
hyper-s...
In this paper, we propose and analyze a temporally second-order accurate...
Inverse problems are more challenging when only partial data are availab...
This paper is concerned with the boundary integral equation method for
s...
A quality-Bayesian approach, combining the direct sampling method and th...
The K-means algorithm is arguably the most popular data clustering metho...
In this paper, we aim to develop a hybridizable discontinuous Galerkin (...
In this paper, we consider numerical solutions of a time domain
acoustic...
It is known that both linear and nonlinear optical phenomena can be prod...