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11/30/2022
High order asymptotic preserving well-balanced finite difference WENO schemes for all Mach full Euler equations with gravity
In this paper, we propose a high order semi-implicit well-balanced finit...
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11/30/2022
High order asymptotic preserving finite difference WENO schemes with constrained transport for MHD equations in all sonic Mach numbers
In this paper, a high-order semi-implicit (SI) asymptotic preserving (AP...
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11/09/2022
Asymptotic preserving and uniformly unconditionally stable finite difference schemes for kinetic transport equations
In this paper, uniformly unconditionally stable first and second order f...
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06/21/2022
sqSGD: Locally Private and Communication Efficient Federated Learning
Federated learning (FL) is a technique that trains machine learning mode...
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08/10/2021
High order well-balanced asymptotic preserving finite difference WENO schemes for the shallow water equations in all Froude numbers
In this paper, high order semi-implicit well-balanced and asymptotic pre...
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08/05/2021
Covariance Estimation and its Application in Large-Scale Online Controlled Experiments
During the last few decades, online controlled experiments (also known a...
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07/03/2021
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing
Deep learning provides a promising way to extract effective representati...
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06/04/2021
High Order Semi-implicit WENO Schemes for All Mach Full Euler System of Gas Dynamics
In this paper, we propose high order semi-implicit schemes for the all M...
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11/28/2020
High order asymptotic preserving discontinuous Galerkin methods for gray radiative transfer equations
In this paper, we will develop a class of high order asymptotic preservi...
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04/06/2020
Conservative discontinuous Galerkin/Hermite Spectral Method for the Vlasov-Poisson System
We propose a class of conservative discontinuous Galerkin methods for th...
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03/18/2019
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks
The task of Language-Based Image Editing (LBIE) aims at generating a tar...
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12/03/2018
Sensitivity based Neural Networks Explanations
Although neural networks can achieve very high predictive performance on...
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05/17/2017
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Automatic localization and labeling of vertebra in 3D medical images pla...
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01/11/2014
Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression
Accurate time series prediction over long future horizons is challenging...
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01/11/2014
Does Restraining End Effect Matter in EMD-Based Modeling Framework for Time Series Prediction? Some Experimental Evidences
Following the "decomposition-and-ensemble" principle, the empirical mode...
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01/09/2014
A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization
Addressing the issue of SVMs parameters optimization, this study propose...
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01/08/2014
Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Prices
An accurate prediction of crude oil prices over long future horizons is ...
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12/31/2013