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Symbol-Level Precoding Through the Lens of Zero Forcing and Vector Perturbation
Symbol-level precoding (SLP) has recently emerged as a new paradigm for ...
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Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition
In facial action unit (AU) recognition tasks, regional feature learning ...
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Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis
Reconfigurable intelligent surface (RIS)-assisted transmission and space...
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Image deblurring based on lightweight multi-information fusion network
Recently, deep learning based image deblurring has been well developed. ...
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Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
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An HVS-Oriented Saliency Map Prediction Modeling
Visual attention is one of the most significant characteristics for sele...
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Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
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Single-RF MIMO: From Spatial Modulation to Metasurface-Based Modulation
In multiple-input multiple-output (MIMO), multiple radio frequency (RF) ...
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Siamese Keypoint Prediction Network for Visual Object Tracking
Visual object tracking aims to estimate the location of an arbitrary tar...
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Deep Reinforcement Learning for Fog Computing-based Vehicular System with Multi-operator Support
This paper studies the potential performance improvement that can be ach...
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Minimizing Age-of-Information for Fog Computing-supported Vehicular Networks with Deep Q-learning
Connected vehicular network is one of the key enablers for next generati...
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AliCoCo: Alibaba E-commerce Cognitive Concept Net
One of the ultimate goals of e-commerce platforms is to satisfy various ...
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Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing
Whole slide imaging (WSI) is an emerging technology for digital patholog...
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Latency-Minimized Design of Secure Transmissions in UAV-Aided Communications
Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations ...
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Capacity-Aware Edge Caching in Fog Computing Networks
This paper studies edge caching in fog computing networks, where a capac...
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Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks
Explosive growth of mobile data demand may impose a heavy traffic burden...
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Minimum Symbol-Error Probability Symbol-Level Precoding with Intelligent Reflecting Surface
Recently, the use of intelligent reflecting surface (IRS) has gained con...
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Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
Deep learning-based hyperspectral image super-resolution (SR) methods ha...
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Sum Rate Maximization for Multiuser MISO Downlink with Intelligent Reflecting Surface
The intelligent reflecting surface (IRS) is a planar array with massive ...
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Machine Learning-based Signal Detection for PMH Signals in Load-modulated MIMO System
Phase Modulation on the Hypersphere (PMH) is a power efficient modulatio...
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The New Purity and Capacity Models for the OAM-mmWave Communication Systems under Atmospheric Turbulence
The orbital angular momentum (OAM) wireless communication technology is ...
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Joint Long-Term Admission Control and Beamforming in Green Downlink Networks: Offline and Online Approaches
Admission control is an effective solution to managing a wireless networ...
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Adversarial Training Methods for Network Embedding
Network Embedding is the task of learning continuous node representation...
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Latency Minimization for Multiuser Computation Offloading in Fog-Radio Access Networks
This paper considers computation offloading in fog-radio access networks...
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Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach
The performance of cloud-based small cell networks (C-SCNs) relies highl...
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Depth Restoration: A fast low-rank matrix completion via dual-graph regularization
As a real scenes sensing approach, depth information obtains the widespr...
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Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation
Hyperspectral super-resolution (HSR) is a problem that aims to estimate ...
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Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks
Recent years have witnessed an exponential growth of mobile data traffic...
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Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification
In this paper, we present correlated logistic (CorrLog) model for multil...
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Adapting Stochastic Block Models to Power-Law Degree Distributions
Stochastic block models (SBMs) have been playing an important role in mo...
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One-Bit Sigma-Delta MIMO Precoding
Coarsely quantized MIMO signalling methods have gained popularity in the...
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StyleRemix: An Interpretable Representation for Neural Image Style Transfer
Multi-Style Transfer (MST) intents to capture the high-level visual voca...
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End-to-end Hand Mesh Recovery from a Monocular RGB Image
In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackl...
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PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems
Asymmetric Distributed Constraint Optimization Problems (ADCOPs) have em...
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Array Pattern Synthesis: A Tighter Robust Model and ADMM-Based Solution
In most existing robust array beam pattern synthesis studies, the bounde...
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A Framework for One-Bit and Constant-Envelope Precoding over Multiuser Massive MISO Channels
Consider the following problem: A multi-antenna base station (BS) sends ...
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Multiuser One-Bit Massive MIMO Precoding Under MPSK Signaling
Most recently, there has been a flurry of research activities on studyin...
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Minimum Symbol Error Rate-Based Constant Envelope Precoding for Multiuser Massive MISO Downlink
This paper considers the problem of constant envelope (CE) precoder desi...
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Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study
Aim: Early detection and correct diagnosis of lung cancer are the most i...
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One-bit massive MIMO precoding via a minimum symbol-error probability design
Massive multiple-input multiple-output (MIMO) has the potential to subst...
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Higher order monotonicity and submodularity of influence in social networks: from local to global
Kempe, Kleinberg and Tardos (KKT) proposed the following conjecture abou...
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Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning
Bronchoscopy inspection as a follow-up procedure from the radiological i...
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Tradeoff between Delay and Physical Layer Security in Wireless Networks
Exchange of crucial and confidential information leads to the unpreceden...
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Cell-less Communications in 5G Vehicular Networks Based on Vehicle-Installed Access Points
The development of intelligent transportation systems raises many requir...
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Energy Efficiency of Multi-user Multi-antenna Random Cellular Networks with Minimum Distance Constraints
Compared with conventional regular hexagonal cellular models, random cel...
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Multi-Path Cooperative Communications Networks for Augmented and Virtual Reality Transmission
Augmented and/or virtual reality (AR/VR) are emerging as one of the main...
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Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising
In this work, we study the guaranteed delivery model which is widely use...
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A Novel Clustering Algorithm Based Upon Games on Evolving Network
This paper introduces a model based upon games on an evolving network, a...
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A New Clustering Algorithm Based Upon Flocking On Complex Network
We have proposed a model based upon flocking on a complex network, and t...
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A Novel Clustering Algorithm Based on Quantum Games
Enormous successes have been made by quantum algorithms during the last ...
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