Yue Wang

Research Assistant Professor

George Mason University

United States

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About

Yue Wang is a Research Assistant Professor at George Mason University, USA. His research areas include distributed learning, channel estimation in wireless communication systems, and energy-efficient optimization schemes. Recent articles authored by Dr. Wang focus on robust learning against distributional shifts, mobile networks, and efficient spectrum sensing methods.

Articles (21)

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2022

Collaborators (3)

Lingjia Liu

Professor

Virginia Tech

UNITED STATES

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David Yau

Singapore University of Technology and Design

SINGAPORE

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Xiang Chen

Assistant Professor

George Mason University

UNITED STATES

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Yue Wang

Research Interests

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About

Articles (21)

Downlink Massive MIMO Channel Estimation via Deep Unrolling: Sparsity Exploitations in Angular Domain

Deep-Unrolling-Based Gridless Channel Estimation in Massive SIMO Systems With Antenna Failures

Energy Efficient Optimization Scheme for Wireless Powered Active RIS in Downlink System

Parameter Estimation for Perceptive Mobile Networks Based on Two-Level Block Sparsity

A Sparse-Based Channel Estimation Scheme for XL-RIS-Assisted Wireless Communications with Low Pilot Overheads

Distributed Sparse Signal Detection With Energy-Efficient Censoring-Quantization in Wireless Sensor Networks

Spectrum Transformer: An Attention-Based Wideband Spectrum Detector

Wideband 2-D DoA Estimation With Uniform Circular Array

Collaborative Learning Based Spectrum Sensing Under Partial Observations

Joint Compressed Signal Recovery and RIS Diagnosis via Double-Sparsity Optimization

Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks

A Censoring Scheme for Multiclassification in Wireless Sensor Networks

1-Bit Compressive Sensing for Efficient Federated Learning Over the Air

Compressive Spectrum Sensing Using Sampling-Controlled Block Orthogonal Matching Pursuit

ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging With Adaptive Threshold

Blind Orthogonal Least Squares based Compressive Spectrum Sensing

CB-DSL: Communication-efficient and Byzantine-robust Distributed Swarm Learning on Non-i.i.d. Data

QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM

Supervised Dictionary Learning for Block Threshold Feature in Compressive Spectrum Sensing

BEV-SGD: Best Effort Voting SGD Against Byzantine Attacks for Analog-Aggregation-Based Federated Learning Over the Air

Joint Optimization of Communications and Federated Learning Over the Air

Collaborators (3)

Lingjia Liu

David Yau

Xiang Chen

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