
An inverse source problem for the stochastic wave equation
This paper is concerned with an inverse source problem for the stochasti...
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Numerical solution of an inverse random source problem for the time fractional diffusion equation via PhaseLift
This paper is concerned with the inverse random source problem for a sto...
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Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation
Recently, there have been increasing calls for computer science curricul...
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An inverse random source problem for the onedimensional Helmholtz equation with attenuation
This paper is concerned with an inverse random source problem for the on...
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Statistical Inference for Networks of HighDimensional Point Processes
Fueled in part by recent applications in neuroscience, the multivariate ...
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Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks
Identifying sleep problem severity from overnight polysomnography (PSG) ...
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Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
Background and Objective: Biometric measurements of fetal head are impor...
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A survey of statistical learning techniques as applied to inexpensive pediatric Obstructive Sleep Apnea data
Pediatric obstructive sleep apnea affects an estimated 15 elementarysc...
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Price Competition with LTEU and WiFi
LTEU is an extension of the Long Term Evolution (LTE) standard for oper...
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Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations
In this paper, we propose one novel model for point cloud semantic segme...
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Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
Standard plane localization is crucial for ultrasound (US) diagnosis. In...
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Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes
Volumetric ultrasound has great potentials in promoting prenatal examina...
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A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques
As an integral part of source code files, code comments help improve pro...
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High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
In this paper, we present a convolution neural network based method to r...
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DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators
Modern neural network modules which can significantly enhance the learni...
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Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation
Segmenting left atrium in MR volume holds great potentials in promoting ...
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Test of Covariance and Correlation Matrices
Based on a generalized cosine measure between two symmetric matrices, we...
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A fixedpoint model for semipersistent scheduling of vehicular safety messages
In this paper, we focus on the performance analysis of a semipersistent...
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The impact of bundling licensed and unlicensed wireless service
Unlicensed spectrum has been viewed as a way to increase competition in ...
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Fast Landmark Subspace Clustering
Kernel methods obtain superb performance in terms of accuracy for variou...
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Spectral Convergence Rate of Graph Laplacian
Laplacian Eigenvectors of the graph constructed from a data set are used...
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Riemannian MultiManifold Modeling
This paper advocates a novel framework for segmenting a dataset in a Rie...
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Xu Wang
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