It is a challenge to numerically solve nonlinear partial differential
eq...
Most machine learning (ML) systems assume stationary and matching data
d...
This paper discusses the construction of local bounded commuting project...
The local bounded commuting projection operators of nonstandard finite
e...
This paper constructs a lower order mixed finite element for the linear
...
Recently, many works have been proposed to utilize the neural radiance f...
This paper constructs two conforming finite element grad grad and elasti...
Here we utilize a low-rank tensor model (LTM) as a function approximator...
In this study, the nonconforming finite elements of order two and order ...
A characteristic mode (CM) method that relies on a global multi-trace
fo...
Automated GUI testing is widely used to help ensure the quality of mobil...
A coupled hybridizable discontinuous Galerkin (HDG) and boundary integra...
In this paper, we propose SelfNeRF, an efficient neural radiance field b...
In this paper, we propose a broad and general sequential sampling scheme...
This paper represents the development and experimental evaluation of an
...
In this paper we present Hyper-Dimensional Reconfigurable Analytics at t...
Graphical User Interface (GUI) provides a visual bridge between a softwa...
In this paper, the first family of conforming finite element divdiv comp...
Collaborative filtering (CF) is widely used by personalized recommendati...
The extended cyclic reduction algorithm developed by Swarztrauber in 197...
We investigate discretization of H(curl) and H(div) in
two and three spa...
Mobile apps are indispensable for people's daily life. Complementing wit...
Graph Neural Networks (GNNs) have achieved great success in processing g...
In this paper, we present GRecX, an open-source TensorFlow framework for...
Applying feature dependent network weights have been proved to be effect...
Documents often contain complex physical structures, which make the Docu...
Despite the valuable information contained in software chat messages,
di...
This paper proposes a construction of local C^r interpolation spaces and...
Deep learning-based RAW image denoising is a quintessential problem in i...
This paper presents the first family of conforming finite element divdiv...
We introduce tf_geometric, an efficient and friendly library for graph d...
The detection and characterization of partial discharge (PD) are crucial...
This paper introduces a new family of mixed finite elements for solving ...
Graphical User Interface (GUI) provides a visual bridge between a softwa...
In this paper, the first family of conforming discrete three dimensional...
A simple and efficient interface-fitted mesh generation algorithm is
dev...
The Legendre spectral Galerkin method of self-adjoint second order ellip...
Pointing gestures are widely used in robot navigationapproaches nowadays...
This paper presents an extended Galerkin analysis for various Galerkin
m...
Pre-trained models such as BERT are widely used in NLP tasks and are
fin...
Non-intrusive load monitoring addresses the challenging task of decompos...
In this article, a family of H^2-nonconforming finite elements on
tetrah...
This paper develops a novel graph convolutional network (GCN) framework ...
Family mementos document events shaping family life, telling a story wit...
With the rapid development of network protocol, TCP/IP has been widely
a...
A convolutional sequence to sequence non-intrusive load monitoring model...
We present in this paper a model for forecasting short-term power loads ...
Image registration for stack-based HDR photography is challenging. If no...
A pseudo independent (PI) model is a probabilistic domain model (PDM) wh...