
EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network
Recently, it has been demonstrated that the performance of a deep convol...
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Robust Graph Learning Under Wasserstein Uncertainty
Graphs are playing a crucial role in different fields since they are pow...
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Orthogonal subspace based fast iterative thresholding algorithms for joint sparsity recovery
Sparse signal recoveries from multiple measurement vectors (MMV) with jo...
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A New Weighting Scheme for Fanbeam and Circle Conebeam CT Reconstructions
In this paper, we first present an arc based algorithm for fanbeam comp...
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TimeScaleChirp_rate Operator for Recovery of Nonstationary Signal Components with Crossover Instantaneous Frequency Curves
The objective of this paper is to introduce an innovative approach for t...
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A Signal Separation Method Based on Adaptive Continuous Wavelet Transform and its Analysis
Recently the synchrosqueezing transform (SST) was developed as an empiri...
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Analysis of an Adaptive ShortTime Fourier TransformBased Multicomponent Signal Separation Method Derived from Linear Chirp Local Approximation
The synchrosqueezing transform (SST) has been developed as a powerful EM...
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Multiscale Receptive Fields Graph Attention Network for Point Cloud Classification
Understanding the implication of point cloud is still challenging to ach...
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A modelguided deep network for limitedangle computed tomography
In this paper, we first propose a variational model for the limitedangl...
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Singlestep triangular splitting iteration method for a class of complex symmetric linear system
In this work, a singlestep triangular splitting (SSTS) iteration method...
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Toward a Wearable RFID System for RealTime Activity Recognition Using Radio Patterns
Elderly care is one of the many applications supported by realtime acti...
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Crowdsourced Smartphone Sensing for Localization in Metro Trains
Traditional fingerprint based localization techniques mainly rely on inf...
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Multiplicative Noise Removal: Nonlocal LowRank Model and Its Proximal Alternating Reweighted Minimization Algorithm
The goal of this paper is to develop a novel numerical method for effici...
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Vector Gaussian Successive Refinement With Degraded Side Information
We investigate the problem of the successive refinement for WynerZiv co...
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A deep network for sinogram and CT image reconstruction
A CT image can be well reconstructed when the sampling rate of the sinog...
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Operational Calibration: Debugging Confidence Errors for DNNs in the Field
Trained DNN models are increasingly adopted as integral parts of softwar...
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Boosting Operational DNN Testing Efficiency through Conditioning
With the increasing adoption of Deep Neural Network (DNN) models as inte...
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RemoveWin: a Design Framework for Conflictfree Replicated Data Collections
Internetscale distributed systems often replicate data within and acros...
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CoMID: Contextbased MultiInvariant Detection for Monitoring CyberPhysical Software
Cyberphysical software continually interacts with its physical environm...
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Want a Good Answer? Ask a Good Question First!
Community Question Answering (CQA) websites have become valuable reposit...
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MaTrust: An Effective MultiAspect Trust Inference Model
Trust is a fundamental concept in many realworld applications such as e...
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Jian Lu
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