World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
18400
World Ranking
1788
National Ranking
102

Electronics and Electrical Engineering

D-Index
67
Citations
15599
World Ranking
1096
National Ranking
50

Overview

Geyong Min is affiliated with the University of Exeter in the United Kingdom. Their research spans the fields of Computer Science and Engineering, with a significant focus on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, and Computer Vision and Pattern Recognition.

The scientist's work addresses a range of topics primarily centered around Internet of Things (IoT) and Edge/Fog Computing, Privacy-Preserving Technologies in Data, Caching and Content Delivery, Vehicular Ad Hoc Networks (VANETs), Cloud Computing and Resource Management, Software-Defined Networks and 5G, and Age of Information Optimization.

Frequent publication venues for Geyong Min include:

  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Industrial Informatics

Some of the recent research papers contributed by Geyong Min are:

  • Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning, 2020, IEEE Transactions on Parallel and Distributed Systems
  • Perception Task Offloading With Collaborative Computation for Autonomous Driving, 2022, IEEE Journal on Selected Areas in Communications
  • Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing, 2020, IEEE Internet of Things Journal
  • Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing, 2021, IEEE Transactions on Parallel and Distributed Systems

Geyong Min frequently collaborates with other researchers, including Jia Hu, Zhiwei Zhao, Wang Miao, Zheng Chang, and Liang Zhao, who have been coauthors on multiple publications.

Best Publications

  • Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage

    Yong Yu;Man Ho Au;Giuseppe Ateniese;Xinyi Huang

  • Advanced internet of things for personalised healthcare systems

    Jun Qi;Po Yang;Geyong Min;Oliver Amft

  • Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT

    Jed Mills;Jia Hu;Geyong Min

  • Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning

    Jin Wang;Jia Hu;Geyong Min;Albert Y. Zomaya

  • Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

    Zhengxin Yu;Jia Hu;Geyong Min;Zhiwei Zhao

  • Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing

    Jed Mills;Jia Hu;Geyong Min

  • Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing

    Wenhan Zhan;Chunbo Luo;Jin Wang;Chao Wang

  • Fuzzy Identity-Based Data Integrity Auditing for Reliable Cloud Storage Systems

    Yannan Li;Yong Yu;Geyong Min;Willy Susilo

  • Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning

    Jin Wang;Jia Hu;Geyong Min;Wenhan Zhan

  • A Framework of Fog Computing: Architecture, Challenges, and Optimization

    Yang Liu;Jonathan E. Fieldsend;Geyong Min

  • Enabling Collaborative Edge Computing for Software Defined Vehicular Networks

    Kai Wang;Hao Yin;Wei Quan;Geyong Min

  • Minimizing Movement for Target Coverage and Network Connectivity in Mobile Sensor Networks

    Zhuofan Liao;Jianxin Wang;Shigeng Zhang;Jiannong Cao

  • Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning

    Jin Wang;Jia Hu;Geyong Min;Wenhan Zhan

  • High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm

    Gai-Ge Wang;Xingjuan Cai;Zhihua Cui;Geyong Min

  • A Tensor-Based Approach for Big Data Representation and Dimensionality Reduction

    Liwei Kuang;Fei Hao;Laurence T. Yang;Man Lin

  • Energy-Efficient Offloading for DNN-Based Smart IoT Systems in Cloud-Edge Environments

    Xing Chen;Jianshan Zhang;Bing Lin;Zheyi Chen

  • Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems

    Hancong Duan;Chao Chen;Geyong Min;Yu Wu

  • An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty

    Yue Cao;Tong Wang;Omprakash Kaiwartya;Geyong Min

  • Energy-Efficient Industrial Internet of Things: Overview and Open Issues

    Wenliang Mao;Zhiwei Zhao;Zheng Chang;Geyong Min

  • Multi-User Offloading for Edge Computing Networks: A Dependency-Aware and Latency-Optimal Approach

    Chang Shu;Zhiwei Zhao;Yunpeng Han;Geyong Min

  • Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare

    Po Yang;Dainius Stankevicius;Vaidotas Marozas;Zhikun Deng

  • Statistical Features-Based Real-Time Detection of Drifted Twitter Spam

    Chao Chen;Yu Wang;Jun Zhang;Yang Xiang

  • An Intelligent Information Forwarder for Healthcare Big Data Systems With Distributed Wearable Sensors

    Ping Jiang;Jonathan Winkley;Can Zhao;Robert Munnoch

  • Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era

    Song Li;Qiang Ni;Yanjing Sun;Geyong Min

Frequent Co-Authors

Yulei Wu
Yulei Wu University of Bristol
Keqiu Li
Keqiu Li Tianjin University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Chuang Lin
Chuang Lin Tsinghua University
Qiang Ni
Qiang Ni Lancaster University
Jianxin Wang
Jianxin Wang Central South University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Yue Cao
Yue Cao Wuhan University
Weijia Jia
Weijia Jia Beijing Normal University
Jianmin Jiang
Jianmin Jiang Shenzhen University

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