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Honggang Zhang

Honggang Zhang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
8857
World Ranking
3523
National Ranking
560

Overview

Honggang Zhang is a researcher affiliated with Zhejiang University in China. Their scholarly work spans multiple domains within engineering and computer science, focusing extensively on electrical and electronic engineering, computer networks and communications, and artificial intelligence. The scope of their research also includes civil and structural engineering and computer vision and pattern recognition, reflecting a multidisciplinary approach.

The core topics addressed in Zhang's publications cover various aspects of transportation and wireless communication technologies. These topics include:

  • Transportation Planning and Optimization
  • Traffic control and management
  • Wireless Signal Modulation Classification
  • Electrodeposition and Electroless Coatings
  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Transportation and Mobility Innovations

Zhang has contributed to several peer-reviewed papers, some of which have gained notable citations. Representative recent works include:

  • "Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective," 2020, IEEE Transactions on Wireless Communications
  • "The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility," 2020, IEEE Communications Letters
  • "Semantic Communication With Adaptive Universal Transformer," 2021, IEEE Wireless Communications Letters
  • "Rethinking Modern Communication from Semantic Coding to Semantic Communication," 2022, IEEE Wireless Communications
  • "Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems," 2021, IEEE Journal on Selected Areas in Communications

The frequent coauthors collaborating with Zhang include Rongpeng Li, Zhifeng Zhao, Zhiyuan Liu, Chenghui Peng, and Xianfu Chen. These collaborations indicate a consistent engagement with professionals specializing in related fields.

Zhang's publishing activity is notably concentrated in a few key venues, with a significant number of publications appearing in arXiv (Cornell University), SSRN Electronic Journal, and Construction and Building Materials. Other frequent publication venues include Transportation Research Part E Logistics and Transportation Review and IET conference proceedings.

Best Publications

  • Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning

    Xianfu Chen;Honggang Zhang;Celimuge Wu;Shiwen Mao

  • Intelligent 5G: When Cellular Networks Meet Artificial Intelligence

    Rongpeng Li;Zhifeng Zhao;Xuan Zhou;Guoru Ding

  • CogMesh: A Cluster-Based Cognitive Radio Network

    Tao Chen;Honggang Zhang;G.M. Maggio;I. Chlamtac

  • Deep Reinforcement Learning for Resource Management in Network Slicing

    Rongpeng Li;Zhifeng Zhao;Qi Sun;Chih-Lin I

  • Network slicing as a service: enabling enterprises' own software-defined cellular networks

    Xuan Zhou;Rongpeng Li;Tao Chen;Honggang Zhang

  • Network energy saving technologies for green wireless access networks

    Tao Chen;Yang Yang;Honggang Zhang;Haesik Kim

  • Energy-Efficiency Oriented Traffic Offloading in Wireless Networks: A Brief Survey and a Learning Approach for Heterogeneous Cellular Networks

    Xianfu Chen;Jinsong Wu;Yueming Cai;Honggang Zhang

  • Spatial modeling of the traffic density in cellular networks

    Dongheon Lee;Sheng Zhou;Xiaofeng Zhong;Zhisheng Niu

  • GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

    Yuxiu Hua;Rongpeng Li;Zhifeng Zhao;Xianfu Chen

  • Green communications: Theoretical fundamentals, algorithms, and applications

    Jinsong Wu;Sundeep Rangan;Honggang Zhang

  • Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

    Xianfu Chen;Celimuge Wu;Tao Chen;Honggang Zhang

  • TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks

    Rongpeng Li;Zhifeng Zhao;Xianfu Chen;Jacques Palicot

  • On the limits of predictability in real-world radio spectrum state dynamics: from entropy theory to 5G spectrum sharing

    Guoru Ding;Jinlong Wang;Qihui Wu;Yu-Dong Yao

  • Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning

    Xianfu Chen;Honggang Zhang;Celimuge Wu;Shiwen Mao

  • The Learning and Prediction of Application-Level Traffic Data in Cellular Networks

    Rongpeng Li;Zhifeng Zhao;Jianchao Zheng;Chengli Mei

  • The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice

    Rongpeng Li;Zhifeng Zhao;Xuan Zhou;Jacques Palicot

  • Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach

    Xianfu Chen;Zhifeng Zhao;Celimuge Wu;Mehdi Bennis

  • Rethinking Modern Communication from Semantic Coding to Semantic Communication

    Kun Lu;Qingyang Zhou;Rongpeng Li;Zhifeng Zhao

  • The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility

    Rongpeng Li;Chujie Wang;Zhifeng Zhao;Rongbin Guo

  • Semantic Communication with Adaptive Universal Transformer

    Qingyang Zhou;Rongpeng Li;Zhifeng Zhao;Chenghui Peng

  • Multiple signal waveforms adaptation in cognitive ultra-wideband radio evolution

    Honggang Zhang;Xiaofei Zhou;K.Y. Yazdandoost;I. Chlamtac

  • GAN-Based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

    Yuxiu Hua;Rongpeng Li;Zhifeng Zhao;Honggang Zhang

  • Deep Reinforcement Learning for Resource Management in Network Slicing

    Rongpeng Li;Zhifeng Zhao;Qi Sun;Chi-Lin I

Frequent Co-Authors

Tao Chen
Tao Chen VTT Technical Research Centre of Finland
Mehdi Bennis
Mehdi Bennis University of Oulu
Yusheng Ji
Yusheng Ji National Institute of Informatics
Sundeep Rangan
Sundeep Rangan New York University
David Grace
David Grace University of York
Shiwen Mao
Shiwen Mao Auburn University
A. P. Vinod
A. P. Vinod Singapore Institute of Technology
Chenyang Yang
Chenyang Yang Beihang University
Zhu Han
Zhu Han University of Houston
Mario Pickavet
Mario Pickavet Ghent University

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