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Phase Transitions in Recovery of Structured Signals from Corrupted Measurements
This paper is concerned with the problem of recovering a structured sign...
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Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer
This paper proposes a novel and scalable reinforcement learning approach...
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Threats and Opportunities: Blockchain Meets Quantum Computation
This article considered deficiencies of the flourishing blockchain techn...
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A Simple and General Graph Neural Network with Stochastic Message Passing
Graph neural networks (GNNs) are emerging machine learning models on gra...
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Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information
This paper studies the problem of reconstructing spectrally sparse signa...
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Algorithmic Decision Making with Conditional Fairness
Nowadays fairness issues have raised great concerns in decision-making s...
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Matrix Completion with Prior Subspace Information via Maximizing Correlation
This paper studies the problem of completing a low-rank matrix from a fe...
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Covariance Matrix Estimation from Correlated Sub-Gaussian Samples
This paper studies the problem of estimating a covariance matrix from co...
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Data-based wind disaster climate identification algorithm and extreme wind speed prediction
An extreme wind speed estimation method that considers wind hazard clima...
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ECG Identification under Exercise and Rest Situations via Various Learning Methods
As the advancement of information security, human recognition as its cor...
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Performance comparison of an AI-based Adaptive Learning System in China
Adaptive learning systems stand apart from traditional learning systems ...
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Recovery of Structured Signals From Corrupted Non-Linear Measurements
This paper studies the problem of recovering a structured signal from a ...
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Spatial Deep Learning for Wireless Scheduling
The optimal scheduling of interfering links in a dense wireless network ...
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Covariance Matrix Estimation from Correlated Samples
Covariance matrix estimation concerns the problem of estimating the cova...
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Identifying the Mislabeled Training Samples of ECG Signals using Machine Learning
The classification accuracy of electrocardiogram signal is often affecte...
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Optical Mapping Near-eye Three-dimensional Display with Correct Focus Cues
We present an optical mapping near-eye (OMNI) three-dimensional display ...
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