Prof. Zheyi Chen

WORKING & EDUCATION

  • Professor, Ph.D. Supervisor
  • Feb. 2023 – Now

  • College of Computer and Data Science, Fuzhou University, China


  • Associate Professor, Ph.D. Supervisor
  • Dec. 2021 - Jan. 2023

  • College of Computer and Data Science, Fuzhou University, China


  • Ph.D., Computer Science
  • Sept. 2017 - Oct. 2021

  • Department of Computer Science, University of Exeter, U.K.

  • Supervisor: Prof. Geyong Min and Dr. Jia Hu


  • M.Sc., Computer Science and Technology
  • Sept. 2014 - Jul. 2017

  • Department of Computer Science, Tsinghua University, China

  • Supervisor: Prof. Yongwei Wu


  • B.Sc., Computer Science and Technology
  • Sept. 2010 - Jul. 2014

  • School of Computer and Information Technology, Shanxi University, China


    • RESEARCH INTERESTS

  • Cloud/Edge Computing, Resource Optimization, Deep Learning, Deep Reinforcement Learning


    • PROJECT

  • Research on Efficient and Adaptive Resource Optimization in Cloud-Edge Environments
  • Principal Investigator (PI), Jan. 2023 - Dec. 2025
  • Supported by Natural Science Foundation of China, 300,000 RMB

  • Fujian Province Youth Top Talents Program
  • Principal Investigator (PI), Dec. 2023 - Dec. 2028
  • Supported by Fujian Provincial Department of Human Resources and Social Security, 2,000,000 RMB

  • Research and Application of Key Technologies for Resource Optimization and Data Processing in Cloud-Edge Collaborative Environment
  • Principal Investigator (PI), Aug. 2022 - Aug. 2025
  • Supported by Central Funds Guiding the Local Science and Technology Development, 1,000,000 RMB

  • Exploration and Practice of Training Postgraduate Students with Computer Majors Oriented towards “Digital Fujian” Strategy
  • Principal Investigator (PI), Sept. 2023 - Oct. 2025
  • Supported by Fujian Province Undergraduate Education and Teaching Research Project (Major Project), 100,000 RMB

  • Research on Key Technologies for Resource Allocation in Mobile Edge Computing
  • Principal Investigator (PI), Dec. 2021 - Dec. 2023
  • Supported by Funds for Scientific Research of Fujian Provincial Department of Finance, 1,000,000 RMB

  • Research and Development of Key Technologies for Big Data Intelligence
  • Principal Investigator (PI), Dec. 2021 - Dec. 2023
  • Supported by Funds for Scientific Research of Fujian Provincial Department of Finance, 800,000 RMB

  • Research on Cloud-Edge Resource Optimization Method Based on Machine Learning
  • Principal Investigator (PI), Jan. 2022 - Dec. 2025
  • Supported by Research Project of Fuzhou University Qishan Scholars, 300,000 RMB

    • AWARDS

  • World’s Top 2% Scientists, 2023
  • Young Scientist Award from ScienceFather, 2023
  • First Prize of Fujian Science and Technology Progress, 2021
  • First Prize for Outstanding Papers at Annual Academic Conference of Fujian Computer Society, 2023
  • First Prize for Outstanding Papers at Annual Academic Conference of Fujian Computer Society, 2021

    • MEMBERSHIP

  • IEEE/ACM/CCF Member

    • ACADEMIC SERVICES

  • Web and System Management Chair, IEEE SustainCom-2020
  • Web and System Management Chair, IEEE SmartCity-2018
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Cloud Computing
  • IEEE/CAA Journal of Automatica Sinica
  • The Computer Journal
  • IEEE HPCC
  • IEEE ISPA

    • TEACHING ACTIVITIES

  • Big Data and Cloud Computing, Undergraduate Course
  • Practice of Big Data and Cloud Computing, Undergraduate Course
  • Analysis of Cloud Computing and Virtualization Technology, Postgraduate Course

    • SELECTED PUBLICATIONS

    1. Zheyi Chen, Jia Hu*, Geyong Min*, Albert Y. Zomaya, and Tarek El-Ghazawi. Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 31(4): 923-934, 2020.
    2. Zheyi Chen, Jia Hu*, Geyong Min*, Chunbo Luo, and Tarek El-Ghazawi. Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 33(8): 1911-1923, 2022.
    3. Xing Chen, Bing Lin, Zheyi Chen. Resource Management for Cloud-Edge Computing. Tsinghua University Press, 2023.07. ISBN: 9787302625551.
    4. Luying Zhong, Yueyang Pi, Zheyi Chen*, Zhengxin Yu, Wang Miao, Xing Chen, and Geyong Min. SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation. IEEE International Conference on Computer Communications (INFOCOM), Accepted, 2024.
    5. Xing Chen, Jianshan Zhang, Bing Lin*, Zheyi Chen*, Katinka Wolter, and Geyong Min. Energy-Efficient Offloading for DNN-based Smart IoT Systems in Cloud-Edge Environments. IEEE Transactions on Parallel and Distributed Systems (TPDS), 33(3): 683-697, 2022.（ESI Top 0.1% Hot Paper）
    6. Zheyi Chen* and Zhengxin Yu. Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning. IEEE Communications Magazine (ComMag), 61(6): 118-123, 2023.
    7. Zheyi Chen, Junjie Zhang, Xianghan Zheng*, Geyong Min*, Jie Li, and Chunming Rong. Profit-aware Cooperative Offloading in UAV-enabled MEC Systems Using Lightweight Deep Reinforcement Learning. IEEE Internet of Things Journal (IoTJ), Early Access, 2023.
    8. Xing Chen, Junqin Hu, Zheyi Chen*, Bing Lin*, Naixue Xiong, and Geyong Min. A Reinforcement Learning Empowered Feedback Control System for Industrial Internet of Things. IEEE Transactions on Industrial Informatics (TII), 18(4): 2724-2733, 2022.（ESI Top 1% Highly Cited Paper）
    9. Zheyi Chen*, Junjie Zhang, Zhiqin Huang, Pengfei Wang, Zhengxin Yu, and Wang Miao. Computation Offloading in Blockchain-Enabled MCS Systems: A Scalable Deep Reinforcement Learning Approach. Future Generation Computer Systems (FGCS), Accepted, 2023.
    10. Xing Chen, Lijian Yang, Zheyi Chen*, Geyong Min*, Xianghan Zheng, and Chunming Rong. Resource Allocation with Workload-Time Windows for Cloud-Based Software Services: A Deep Reinforcement Learning Approach. IEEE Transactions on Cloud Computing (TCC), 11(2): 1871-1885, 2023.（ESI Top 0.1% Hot Paper）
    11. Jianshan Zhang, Hongqiang Zheng, Zheyi Chen*, Xing Chen*, and Geyong Min. Device Access, Sub-Channel Division, and Transmission Power Allocation for NOMA-Enabled IoT Systems. IEEE Internet of Things Journal (IoTJ), 10(19): 17047-17057, 2023.
    12. Xing Chen, Fangning Zhu, Zheyi Chen*, Geyong Min*, Xianghan Zheng, and Chunming Rong. Resource Allocation for Cloud-Based Software Services Using Prediction-Enabled Feedback Control with Reinforcement Learning. IEEE Transactions on Cloud Computing (TCC), 10(2): 1117-1129, 2022.（ESI Top 1% Highly Cited Paper）
    13. Xing Chen, Zewei Yao, Zheyi Chen*, Geyong Min*, Xianghan Zheng, and Chunming Rong. Load Balancing for Multi-Edge Collaboration in Wireless Metropolitan Area Networks: A Two-Stage Decision-Making Approach. IEEE Internet of Things Journal (IoTJ), 10(19): 17124-17136, 2023.
    14. Zheyi Chen, Jia Hu, and Geyong Min. Learning-Based Resource Allocation in Cloud Data Center Using Advantage Actor-Critic. IEEE International Conference on Communications (ICC), 2019.
    15. Zheyi Chen*, Hongqiang Zheng, Jianshan Zhang, Xianghan Zheng, and Chunming Rong. Joint Computation Offloading and Deployment Optimization in Multi-UAV-Enabled MEC Systems. Peer-to-Peer Networking and Applications (PPNA), 15: 194-205, 2022
    16. Zheyi Chen, Jia Hu*, Geyong Min*, and Xing Chen. Effective Data Placement for Scientific Workflows in Mobile Edge Computing Using Genetic Particle Swarm Optimization. Concurrency and Computation: Practice and Experience (CCPE), 33(8): e5413, 2019.
    17. Zhanghui Liu, Lixian Chen, Zheyi Chen*, Yifan Huang, Jie Liang, Zhengxin Yu, and Wang Miao. Load Prediction in Edge Computing Using Deep Auto-Regressive Recurrent Networks. IEEE International Conference on Communications (ICC), 2023.