We present a novel optimization algorithm, element-wise relaxed scalar
a...
For time-dependent PDEs, the numerical schemes can be rendered
bound-pre...
Energy-Dissipative Evolutionary Deep Operator Neural Network is an opera...
The concept class of low-degree polynomial threshold functions (PTFs) pl...
In this work, we consider learning sparse models in large scale settings...
We propose in this paper a new minimization algorithm based on a slightl...
We carry out a rigorous error analysis of the first-order semi-discrete ...
The Keller-Segel equations are widely used for describing chemotaxis in
...
In this paper, we show that the eigenvalues and eigenvectors of the spec...
Due to its importance in facial behaviour analysis, facial action unit (...
Several training strategies and temporal models have been recently propo...
We develop in this paper two classes of length preserving schemes for th...
Robust mean estimation is one of the most important problems in statisti...
This paper presents a novel method for face clustering in videos using a...
The scalar auxiliary variable (SAV) approach <cit.> and its
generalized ...
Blockchain technology has the characteristics of decentralization,
trace...
Apparent emotional facial expression recognition has attracted a lot of
...
We consider a fully discrete scheme for nonlinear stochastic partial
dif...
In the second part of this series, we use the Lagrange multiplier approa...
Augmented Reality (AR) as a platform has the potential to facilitate the...
We propose a new Lagrange multiplier approach to construct positivity
pr...
Image-based age estimation aims to predict a person's age from facial im...
We study the problem of crowdsourced PAC learning of Boolean-valued
func...
Numerical approximation of the Boltzmann equation presents a challenging...
We consider solving a generalized Allen-Cahn equation coupled with a pas...
With the rapid growth of blockchain, an increasing number of users have ...
The anonymity of blockchain has accelerated the growth of illegal activi...
We construct and analyze first- and second-order implicit-explicit (IMEX...
We construct high-order semi-discrete-in-time and fully discrete (with
F...
We develop a special phase field/diffusive interface method to model the...
We construct efficient implicit-explicit BDFk scalar auxiliary variable
...
We study efficient PAC learning of homogeneous halfspaces in ℝ^d
in the ...
Face parsing aims to predict pixel-wise labels for facial components of ...
We study online active learning of homogeneous halfspaces in
ℝ^d with ad...
In this paper, we study the problem of efficient learning of halfspaces ...
In this work, we present the Densely Connected Temporal Convolutional Ne...
We construct first- and second-order time discretization schemes for the...
Robot-assisted therapy is an emerging form of therapy for autistic child...
We develop a set of numerical schemes for the Poisson–Nernst–Planck
equa...
Graph classification, which aims to identify the category labels of grap...
This paper concerns the problem of 1-bit compressed sensing, where the g...
This paper is concerned with computationally efficient learning of
homog...
Dilated convolutions are widely used in deep semantic segmentation model...
In this paper, we construct efficient schemes based on the scalar auxili...
We present two new classes of orthogonal functions, log orthogonal funct...
We construct new first- and second-order pressure correction schemes usi...
In this work we study active learning of homogeneous s-sparse halfspaces...
We develop several efficient numerical schemes which preserve exactly th...
We propose a new Lagrange Multiplier approach to design unconditional en...
Lip-reading models have been significantly improved recently thanks to
p...