Feng Lyu

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Ph.D., Professor
School of Computer Science and Engineering
Central South University
Transparent Computing (TC) Lab, Network Comouting and Big Data Group
Office: Shenghua Building 404, No. 932 Lushan South Road, Yuelu District, Changsha, Hunan, 410083, China
Email: fenglyu@csu.edu.cn

Research Interests

  • Internet of Vehicles (Internet of Things)

  • Big Data

  • Edge Computing

  • Space-Air-Ground Integrated Networks

Professional Experience

  • Professor, School of Computer Science and Engineering, Central South University, China, 2020.01-Present

  • Post-Doctoral Fellow, Department of Electrical and Computer Engineering, University of Waterloo, Canada, 2018.09-2020.01

Education

  • Ph.D., Department of Computer Science and Engineering, Shanghai Jiao Tong University, China, 2013.09-2018.06

  • Visiting PhD Scholar, Department of Electrical and Computer Engineering, University of Waterloo, Canada, 2016.10-2017.10

  • B.E., School of Software and Engineering, Central South University, China, 2009.09-2013.06

Recent NEWs ( More )

  • I am looking for self-motivated students to work with me at Central South University. Please feel free to drop me an email with your CV.

  • 04/24/2021, Dr. Lyu is invited as start-up business mentor for Hengyang Goverment (News)

  • 03/18/2021, One paper on Federated Learning is accepted by IEEE ICDCS'21

  • 03/01/2021, Dr. Lyu is selected as Young Elite Scientist of China Association of Science and Technology in Communication Society (News)

  • 01/14/2021, Three papers are accepted by IEEE ICC'21

  • 12/05/2020, One paper on Federated Learning is accepted by IEEE INFOCOM'21

Professional Activities ( Full List )

Editorial roles

  • Guest Editor, SI on IoT Intelligence Empowered by End-Edge-Cloud Orchestration, China Communications, Call for Papers, 2021.04-Present

  • Associate Editor, IEEE Systems Journal, 2020.08-Present

  • Lead Guest Editor, SI on Space-Air-Ground Integrated Networks for Future IoT: Architecture, Management, Service and Performance, Peer-to-Peer Networking and Applications, 2020.06-2021.04

Selected Awards ( Full List )

  • Young Elite Scientist of China Association of Science and Technology in Communication Society (12 candidates in China), 2021

  • 100 Science and Technology Innovation Talents of Hunan Province (100 candidates in Hunan), 2020

  • Excellent Doctoral Dissertation Award of Shanghai Computer Society (ranking No. 1 among 3 candidates in Shanghai), 2020

  • Best Paper Award of IEEE International Conference on Communications (IEEE ICC 2019, 16 out of 2590 submissions), 2019

  • Norbert Wiener Review Award of IEEE/CAA Journal of Automatica Sinica (1 paper per year), 2020

Recent Publications ( Full List )

  • Y. Deng, F. Lyu (Corresponding Author), J. Ren, Y. Zhang, Y. Zhou, Y. Zhang, Y. Yang. SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning, Proc. IEEE ICDCS'21, accepted to appear.

  • Y. Deng, F. Lyu (Corresponding Author), J. Ren, Y. Chen, P. Yang, Y. Zhou, Y. Zhang. FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation, Proc. IEEE INFOCOM'21, accepted to appear.

  • F. Lyu, J. Ren, N. Cheng, P. Yang, M. Li, Y. Zhang, and X. Shen, LEAD: Large-Scale Edge Cache Deployment Based on Spatio-Temporal WiFi Traffic Statistics, IEEE Trans. on Mobile Computing, DoI: 10.1109/TMC.2020.2984261, Early Access, Apr. 2020.

  • H. Wu, F. Lyu (Corresponding author), C. Zhou, J. Chen, L. Wang, and X. Shen, "Optimal UAV Caching and Trajectory in Aerial-Assisted Vehicular Networks: A Learning-Based Approach", IEEE J. Selected Areas of Communications, vol. 38, no. 12, pp. 2783-2797, Dec. 2020.

  • F. Lyu, N. Cheng, H. Zhu, H. Zhou, W. Xu, M. Li, and X. Shen. Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected Vehicles. IEEE Trans. on Intelligent Transportation Systems, vol. 22, no. 2, pp. 1248-1263, Feb. 2021.

  • F. Lyu, H. Zhu, N. Cheng, H. Zhou, W. Xu, M. Li, and X. Shen. Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications. IEEE Trans. on Intelligent Transportation Systems, vol. 21, no. 6, pp. 2586–2602, Jun. 2020.

Visitors

Transparent Computing (TC) lab at Central South University
Network Computing and Big Data Group
Office: Shenghua Building 404, Central South University, Changsha, Hunan, China
Email: fenglyu@csu.edu.cn