
CXRNet: An EncoderDecoderEncoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID19 pneumonia with Chest Xray Images
Accurate and rapid detection of COVID19 pneumonia is crucial for optima...
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Safe HumanInteractive Control via Shielding
Ensuring safety for humaninteractive robotics is important due to the p...
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Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks
Radio propagation modeling and prediction is fundamental for modern cell...
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Anarchic Federated Learning
Presentday federated learning (FL) systems deployed over edge networks ...
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Bias for the Trace of the Resolvent and Its Application on NonGaussian and Noncentered MIMO Channels
The mutual information (MI) of Gaussian multiinput multioutput (MIMO) ...
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Towards interpreting computer vision based on transformation invariant optimization
Interpreting how does deep neural networks (DNNs) make predictions is a ...
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Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition
Crowdsourcing is regarded as one prospective solution for effective supe...
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GTSTORM: Taming Sample, Communication, and Memory Complexities in Decentralized NonConvex Learning
Decentralized nonconvex optimization has received increasing attention i...
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Largescale IRSaided MIMO over Doublescattering Channel: An Asymptotic Approach
Intelligent reflecting surface (IRS) is a promising enabler for nextgen...
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A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning
Recently, Deep Neural Networks (DNNs) have recorded great success in han...
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Dimension Reduction Forests: Local Variable Importance using Structured Random Forests
Random forests are one of the most popular machine learning methods due ...
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Genetic Algorithm based hyperparameters optimization for transfer Convolutional Neural Network
Hyperparameter optimization is a challenging problem in developing deep ...
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A DoublyEnhanced EM Algorithm for ModelBased Tensor Clustering
Modern scientific studies often collect data sets in the forms of tensor...
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A Novel SemiSupervised DataDriven Method for Chiller Fault Diagnosis with Unlabeled Data
In practical chiller systems, applying efficient fault diagnosis techniq...
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Prediction against limited adversary
We study the problem of prediction with expert advice with adversarial c...
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Significance testing for canonical correlation analysis in high dimensions
We consider the problem of testing for the presence of linear relationsh...
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fGAIL: Learning fDivergence for Generative Adversarial Imitation Learning
Imitation learning (IL) aims to learn a policy from expert demonstration...
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WorstCaseAware Curriculum Learning for Zero and Few Shot Transfer
Multitask transfer learning based on pretrained language encoders achi...
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An Explainable 3D Residual SelfAttention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI
Computeraided early diagnosis of Alzheimer's disease (AD) and its prodr...
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Generalized Liquid Association Analysis for Multimodal Data Integration
Multimodal data are now prevailing in scientific research. A central que...
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A study of the effect of the illumination model on the generation of synthetic training datasets
The use of computer generated images to train Deep Neural Networks is a ...
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Generalization Study of Quantum Neural Network
Generalization is an important feature of neural network, and there have...
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Malicious Experts versus the multiplicative weights algorithm in online prediction
We consider a prediction problem with two experts and a forecaster. We a...
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Complexity of treecoloring interval graphs equitably
An equitable treekcoloring of a graph is a vertex kcoloring such that...
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Private and CommunicationEfficient Edge Learning: A Sparse Differential GaussianMasking Distributed SGD Approach
With rise of machine learning (ML) and the proliferation of smart mobile...
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Synthesizing Queries via Interactive Sketching
We propose a novel approach to program synthesis, focusing on synthesizi...
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ResNetX: a more disordered and deeper network architecture
Designing efficient network structures has always been the core content ...
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CommunicationEfficient NetworkDistributed Optimization with DifferentialCoded Compressors
Networkdistributed optimization has attracted significant attention in ...
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Dynamic list coloring of 1planar graphs
A graph is kplanar if it can be drawn in the plane so that each edge is...
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FiniteTime 4Expert Prediction Problem
We explicitly solve the nonlinear PDE that is the continuous limit of dy...
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Blockchain for Future Smart Grid: A Comprehensive Survey
The concept of smart grid has been introduced as a new vision of the con...
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AirWriting Translater: A Novel Unsupervised Domain Adaptation Method for InertiaTrajectory Translation of Inair Handwriting
As a new way of humancomputer interaction, inertial sensor based inair...
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The structure and the list 3dynamic coloring of outer1planar graphs
An outer1planar graph is a graph admitting a drawing in the plane for ...
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Graph Clustering in All Parameter Regimes
Resolution parameters in graph clustering represent a size and quality t...
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ByzantineResilient Stochastic Gradient Descent for Distributed Learning: A LipschitzInspired Coordinatewise Median Approach
In this work, we consider the resilience of distributed algorithms based...
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Equitable partition of graphs into induced linear forests
It is proved that the vertex set of any simple graph G can be equitably ...
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Light edges in 1planar graphs of minimum degree 3
A graph is 1planar if it can be drawn in the plane so that each edge is...
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Equitable treeO(d)coloring of ddegenerate graphs
An equitable treekcoloring of a graph is a vertex coloring on k colors...
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Equitable vertex arboricity of ddegenerate graphs
A minimization problem in graph theory socalled the equitable treecolo...
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Neural Machine Reading Comprehension: Methods and Trends
Machine Reading Comprehension (MRC), which requires the machine to answe...
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Machine Reading Comprehension: a Literature Review
Machine reading comprehension aims to teach machines to understand a tex...
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Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid braincomputer interface
We proposed a novel visual stimulus for braincomputer interface. The st...
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Distributed Linear Model Clustering over Networks: A TreeBased FusedLasso ADMM Approach
In this work, we consider to improve the model estimation efficiency by ...
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Watermark retrieval from 3D printed objects via synthetic data training
We present a deep neural network based method for the retrieval of water...
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TULIP: A Toolbox for Linear Discriminant Analysis with Penalties
Linear discriminant analysis (LDA) is a powerful tool in building classi...
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Spatial CUSUM for Signal Region Detection
Detecting weak clustered signal in spatial data is important but challen...
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The Random Conditional Distribution for HigherOrder Probabilistic Inference
The need to condition distributional properties such as expectation, var...
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Equitable partition of plane graphs with independent crossings into induced forests
The cluster of a crossing in a graph drawing on the plane is the set of ...
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Online Search Historyassisted Restart Strategy for Covariance Matrix Adaptation Evolution Strategy
Restart strategy helps the covariance matrix adaptation evolution strate...
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A structure of 1planar graph and its applications to coloring problems
A graph is 1planar if it can be drawn on a plane so that each edge is c...
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Xin Zhang
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Iowa State University of Science and Technology
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MIT
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Microsoft
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South China University of Technology International Student Union
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Henan Polytechnic University
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Peking University
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Manchester Metropolitan University
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Durham University
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Xidian University