World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
33
Citations
5030
World Ranking
923
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296

Electronics and Electrical Engineering

D-Index
34
Citations
5279
World Ranking
5770
National Ranking
829

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Guangxu Zhu is affiliated with the Shenzhen Research Institute of Big Data in China. Their research spans multiple areas within computer science and engineering with a strong emphasis on wireless communications and machine learning applications.

The main fields of study for their work include Computer Science and Engineering. Subfields prominently represented in their publications are Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering, and Biomedical Engineering.

The scientist's research focuses on several key topics:

  • Privacy-Preserving Technologies in Data
  • Indoor and Outdoor Localization Technologies
  • Distributed Sensor Networks and Detection Algorithms
  • IoT and Edge/Fog Computing
  • Stochastic Gradient Optimization Techniques
  • Wireless Communication Security Techniques
  • Advanced MIMO Systems Optimization

Guangxu Zhu has published extensively with frequent publication venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Journal on Selected Areas in Communications
  • IEEE Internet of Things Journal
  • IEEE Communications Magazine

Notable recent papers include:

  • Toward an Intelligent Edge: Wireless Communication Meets Machine Learning (2020), IEEE Communications Magazine
  • One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis (2020), IEEE Transactions on Wireless Communications
  • Over-the-Air Computing for Wireless Data Aggregation in Massive IoT (2021), IEEE Wireless Communications

Their work has also been connected through collaboration with frequent co-authors such as:

  • Shuguang Cui
  • Kaibin Huang
  • Jie Xu
  • Xiaoyang Li
  • Dingzhu Wen

Best Publications

  • Broadband Analog Aggregation for Low-Latency Federated Edge Learning

    Guangxu Zhu;Yong Wang;Kaibin Huang

  • Toward an Intelligent Edge: Wireless Communication Meets Machine Learning

    Guangxu Zhu;Dongzhu Liu;Yuqing Du;Changsheng You

  • One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

    Guangxu Zhu;Yuqing Du;Deniz Gunduz;Kaibin Huang

  • MIMO Over-the-Air Computation for High-Mobility Multimodal Sensing

    Guangxu Zhu;Kaibin Huang

  • Optimized Power Control for Over-the-Air Computation in Fading Channels

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Kaibin Huang

  • Over-the-Air Computing for Wireless Data Aggregation in Massive IoT

    Guangxu Zhu;Jie Xu;Kaibin Huang;Shuguang Cui

  • Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication

    Unknown

  • Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G

    Unknown

  • Wireless Information and Power Transfer in Relay Systems With Multiple Antennas and Interference

    Guangxu Zhu;Caijun Zhong;Himal A. Suraweera;George K. Karagiannidis

  • Optimized Power Control Design for Over-the-Air Federated Edge Learning

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Zhiqin Wang

  • Wirelessly Powered Data Aggregation for IoT via Over-the-Air Function Computation: Beamforming and Power Control

    Xiaoyang Li;Guangxu Zhu;Yi Gong;Kaibin Huang

  • Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design

    Unknown

  • Transmission Power Control for Over-the-Air Federated Averaging at Network Edge.

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Shuguang Cui

  • Hybrid Beamforming via the Kronecker Decomposition for the Millimeter-Wave Massive MIMO Systems

    Guangxu Zhu;Kaibin Huang;Vincent K. N. Lau;Bin Xia

  • Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks

    Dingzhu Wen;Guangxu Zhu;Kaibin Huang

  • Some new research trends in wirelessly powered communications

    Kaibin Huang;Caijun Zhong;Guangxu Zhu

  • Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning

    Dongzhu Liu;Guangxu Zhu;Jun Zhang;Kaibin Huang

  • Cooperative Interference Management for Over-the-Air Computation Networks

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Kaibin Huang

  • Ergodic Capacity Comparison of Different Relay Precoding Schemes in Dual-Hop AF Systems With Co-Channel Interference

    Guangxu Zhu;Caijun Zhong;Himal A. Suraweera;Zhaoyang Zhang

  • Outage Probability of Dual-Hop Multiple Antenna AF Systems with Linear Processing in the Presence of Co-Channel Interference

    Guangxu Zhu;Caijun Zhong;Himal A. Suraweera;Zhaoyang Zhang

  • Low-Latency Broadband Analog Aggregation for Federated Edge Learning.

    Guangxu Zhu;Yong Wang;Kaibin Huang

  • Inference From Randomized Transmissions by Many Backscatter Sensors

    Guangxu Zhu;Seung-Woo Ko;Kaibin Huang

  • Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

    Guangxu Zhu;Dongzhu Liu;Yuqing Du;Changsheng You

  • MIMO Over-the-Air Computation for High-Mobility Multi-Modal Sensing

    Guangxu Zhu;Kaibin Huang

Frequent Co-Authors

Kaibin Huang
Kaibin Huang University of Hong Kong
Caijun Zhong
Caijun Zhong Zhejiang University
Jun Zhang
Jun Zhang Hong Kong University of Science and Technology
Zhaoyang Zhang
Zhaoyang Zhang Zhejiang University
Himal A. Suraweera
Himal A. Suraweera University of Peradeniya
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Chau Yuen
Chau Yuen Nanyang Technological University
Vincent K. N. Lau
Vincent K. N. Lau Hong Kong University of Science and Technology
Deniz Gunduz
Deniz Gunduz Imperial College London
Changsheng You
Changsheng You Southern University of Science and Technology

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