
MatrixMonotonic Optimization Part II: MultiVariable Optimization
In contrast to Part I of this treatise [1] that focuses on the optimizat...
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Quantum Criticism: A Tagged News Corpus Analysed for Sentiment and Named Entities
In this research, we continuously collect data from the RSS feeds of tra...
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Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications
A fundamental challenge of the largescale InternetofThings lies in ho...
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Research on a New Convolutional Neural Network Model Combined with Random Edges Adding
It is always a hot and difficult point to improve the accuracy of convol...
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Log orthogonal functions: approximation properties and applications
We present two new classes of orthogonal functions, log orthogonal funct...
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Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
Beamforming structures with fixed beam codebooks provide economical solu...
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MajorizationMinimization Aided Hybrid Transceivers for MIMO Interference Channels
The potential of deploying largescale antenna arrays in future wireless...
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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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Hybrid Transceiver Optimization for MultiHop Communications
Multihop communication with the aid of largescale antenna arrays will ...
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ClosedLoop Sparse Channel Estimation for Wideband MmWave FDMIMO Systems
This paper proposes a closedloop sparse channel estimation (CE) scheme ...
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Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network
The limited fronthaul capacity imposes a challenge on the uplink of cent...
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Inferring Remote Channel State Information: CramérRao Lower Bound and Deep Learning Implementation
Channel state information (CSI) is of vital importance in wireless commu...
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TimeSequence Channel Inference for Beam Alignment in Vehicular Networks
In this paper, we propose a learningbased lowoverhead beam alignment m...
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Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach
Knowledge of information about the propagation channel in which a wirele...
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DevicetoDevice Communications Enabled Multicast Scheduling with the MultiLevel Codebook in mmWave Small Cells
With the exponential growth of mobile data, there are increasing interes...
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Attentionbased Walking Gait and Direction Recognition in WiFi Networks
The study of human gait recognition has been becoming an active research...
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Unified Overview of MatrixMonotonic Optimization for MIMO Transceivers
Matrixmonotonic optimization exploits the monotonic nature of positive ...
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PPMCSA: Privacy Preserving MultiChannel Double Spectrum Auction
Auction is widely regarded as an effective way in dynamic spectrum redis...
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Global NormAware Pooling for PoseRobust Face Recognition at Low False Positive Rate
In this paper, we propose a novel Global NormAware Pooling (GNAP) block...
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Regularized ZeroForcing Precoding Aided Adaptive Coding and Modulation for LargeScale Antenna Array Based AirtoAir Communications
We propose a regularized zeroforcing transmit precoding (RZFTPC) aided...
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Differential Evolution Algorithm Aided Turbo Channel Estimation and MultiUser Detection for G.Fast Systems in the Presence of FEXT
The everincreasing demand for broadband Internet access has motivated t...
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MobileFaceNets: Efficient CNNs for Accurate Realtime Face Verification on Mobile Devices
In this paper, we present a class of extremely efficient CNN models call...
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Adaptive Coding and Modulation for LargeScale Antenna Array Based Aeronautical Communications in the Presence of Cochannel Interference
In order to meet the demands of `Internet above the clouds', we propose ...
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Sparse Linear Isotonic Models
In machine learning and data mining, linear models have been widely used...
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DocTag2Vec: An Embedding Based Multilabel Learning Approach for Document Tagging
Tagging news articles or blog posts with relevant tags from a collection...
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Alternating Estimation for Structured HighDimensional MultiResponse Models
We consider learning highdimensional multiresponse linear models with ...
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Structured Matrix Recovery via the Generalized Dantzig Selector
In recent years, structured matrix recovery problems have gained conside...
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l1norm Penalized Orthogonal Forward Regression
A l1norm penalized orthogonal forward regression (l1POFR) algorithm is...
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Estimation with Norm Regularization
Analysis of nonasymptotic estimation error and structured statistical r...
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Sheng Chen
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