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10/25/2022
An efficient and fast sparse grid algorithm for high-dimensional numerical integration
This paper is concerned with developing an efficient numerical algorithm...
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10/24/2022
A fast multilevel dimension iteration algorithm for high dimensional numerical integration
In this paper, we propose and study a fast multilevel dimension iteratio...
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10/02/2022
Fully discrete finite element methods for nonlinear stochastic elastic wave equations with multiplicative noise
This paper is concerned with fully discrete finite element methods for a...
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09/26/2022
High moment and pathwise error estimates for fully discrete mixed finite element approximattions of stochastic Navier-Stokes equations with additive noise
This paper is concerned with high moment and pathwise error estimates fo...
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05/15/2022
Higher order time discretization for the stochastic semilinear wave equation with multiplicative noise
In this paper, a higher-order time-discretization scheme is proposed, wh...
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03/11/2022
An efficient multi-modes Monte Carlo homogenization method for random materials
In this paper, we propose and analyze a new stochastic homogenization me...
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03/09/2022
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling
Automatic speech recognition (ASR) systems used on smart phones or vehic...
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02/25/2022
A narrow-stencil framework for convergent numerical approximations of fully nonlinear second order PDEs
This paper develops a unified general framework for designing convergent...
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07/07/2021
Improving Speech Recognition Accuracy of Local POI Using Geographical Models
Nowadays voice search for points of interest (POI) is becoming increasin...
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05/25/2021
An efficient iterative method for solving parameter-dependent and random diffusion problems
This paper develops and analyzes a general iterative framework for solvi...
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10/29/2020
Analysis of Chorin-Type Projection Methods for the Stochastic Stokes Equations with General Multiplicative Noises
This paper is concerned with numerical analysis of two fully discrete Ch...
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06/09/2020
High-order mass- and energy-conserving SAV-Gauss collocation finite element methods for the nonlinear Schrödinger equation
A family of arbitrarily high-order fully discrete space-time finite elem...
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05/06/2020
Optimally Convergent Mixed Finite Element Methods for the Stochastic Stokes Equations
We propose some new mixed finite element methods for the time dependent ...
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03/19/2020
LANCE: efficient low-precision quantized Winograd convolution for neural networks based on graphics processing units
Accelerating deep convolutional neural networks has become an active top...
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09/30/2019
H^1-norm error estimate for a nonstandard finite element approximation of second-order linear elliptic PDEs in non-divergence form
This paper establishes the optimal H^1-norm error estimate for a nonstan...
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07/24/2019
A Narrow-stencil finite difference method for approximating viscosity solutions of fully nonlinear elliptic partial differential equations with applications to Hamilton-Jacobi-
This paper presents a new narrow-stencil finite difference method for ap...
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01/17/2019
Background subtraction on depth videos with convolutional neural networks
Background subtraction is a significant component of computer vision sys...
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12/16/2018
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Recently, deep neural networks (DNNs) have been widely applied in mobile...
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10/03/2014