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Xiehaihui
Lecturer (University)
College of Computer and Information Sciences
Post:
350002
Title:
Lecturer (University)
Degree:
Ph.D.
Tel:
Email:
xiehh@fafu.edu.cn
Office:
Address:
College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
PostCode:
350002

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  • Education Experiences

    2017/09 ~ 2023/06          Ph.D. in Information and Communications Engineering, Sun Yat-sen University

    2014/09 ~ 2016/06          M.Eng. in Photonic and Electronic Engineering, Fujian Normal University

    2010/09 ~ 2014/06          B.Eng. in Photonic and Electronic Engineering, Fujian Normal University

  • Work Experiences

    2024/01 ~ present           Assistant Professor, Fujian Agriculture and Forestry University (FAFU), College of Computer and Information Sciences

    2025/06 ~ present      Adjunct Scientist, The Chinese University of Hong Kong (Shenzhen), Big Data Institute

    • Research Fields

    Edge Intelligence


    Teachings

    Projects

    Publications

    1. H. Xie, W. Wen*, S. Chen, Z. Shu, and M. Xia*. “Energy-Efficient Federated Edge Learning for Small-Scale Datasets in Large IoT Networks,” IEEE Trans. Wireless Commun., vol. 25, pp. 15534-15550, Apr. 2026. (SCI一区，Top期刊, IF=10.2)

    2. H. Xie, M. Xia*, P. Wu, S. Wang, and H. Vincent Poor, “Edge Learning for Large-scale Internet of Things with Task-oriented Efficient Communication,” IEEE Trans. Wireless Commun.,vol. 22, no. 12, pp. 9517-9532, Dec. 2023. (SCI一区，Top期刊, IF=10.2)

    3. H. Xie, M. Xia*, P. Wu, S. Wang, and K. Huang, “Decentralized Federated Learning with Asynchronous Parameter Sharing for Resource-limited Wireless Networks,” IEEE Internet Things J.,vol. 11, no.21, pp. 34123-34139, Nov., 2024.  (SCI二区，Top期刊, IF=8.9)

    4. H. Xie, P. Xu, Z. Shu, S. Chen*, and C. You, “Energy-Efficient and Learning-Aware Edge Intelligence with Probabilistic Scheduling,” IEEE Open J. Commun. Soc., vol. 7, no.1, pp. 2894-2907, 2026. (SCI二区, IF=6.1)

    5. H. Xie, P. Wu, F. Tan, and M. Xia*, “Adaptively Regularized Compressive Sensing with Sparsity Bound Learning,” IEEE Commun. Lett., vol. 25, no. 4, pp. 1283-1287, Apr. 2021. (SCI三区)

    6. H. Xie, S. Chen*, Z. Shu, and F. Tan, “Decorrelation Spectrum Sensing Model with Structural Information Learning,” Digit. Signal Process.,vol. 170, pp. 105759, Fed. 2025. (SCI三区)


    Achievements