In this paper, we study a numerical artifact of solving the nonlinear sh...
In this paper, we develop a new type of Runge–Kutta (RK) discontinuous
G...
Multivariate long-term time series forecasting is of great application a...
Recently, studies show that deep learning-based automatic speech recogni...
In recent years, deep learning (DL) models have achieved significant pro...
We present a new table structure recognition (TSR) approach, called
TSRF...
Bimanual activities like coffee stirring, which require coordination of ...
We present a new table structure recognition (TSR) approach, called
TSRF...
Structure-aware Taylor (SAT) methods are a class of timestepping schemes...
This paper presents a systematic theoretical framework to derive the ene...
We present a novel algorithm for transferring artistic styles of semanti...
Photorealistic style transfer is the task of transferring the artistic s...
In this paper, we present error estimates of fully discrete Runge–Kutta
...
In this paper, we present and study discontinuous Galerkin (DG) methods ...
A time discretization method is called strongly stable, if the norm of i...
The discrete ordinates discontinuous Galerkin (S_N-DG) method is a
well-...
A deep learning approach has been widely applied in sequence modeling
pr...
Creating aesthetically pleasing pieces of art, including music, has been...