Fangtong Zhou

Fangtong Zhou

Ph.D. Student at Wireless@VT

About :smile:

Hello and welcome! I am currently a second-year Ph.D. student at CNSR Lab, the Bradley Department of Electrical and Computer Engineering in Virginia Tech, Blacksburg, VA, USA, majoring in Computer Engineering, advised by Prof. Tom Hou. Previous to that, I obtained my master’s degree in Information Engineering at ShanghaiTech University, Shanghai, China, under the supervision of Prof. Yong Zhou and Prof. Yang Yang, and my bachelor’s degree in Information Engineering at South China University of Technology, Guangzhou, Guangdong, China. My research focuses on wireless federated learning.

Education :mortar_board:

  • Ph.D. in Computer Engineering, Virginia Tech, 2024. Fall–present
  • M.S. in Information Engineering, ShanghaiTech University, 2021–2024
  • B.E. in Information Engineerin, South China University of Technology, 2017–2021

News

  • 2025-12 - One paper was submitted to IEEE Journal on Selected Areas in Communications.
  • 2025-11 - I successfully passed my Qualifying Exam! Many thanks to Prof. Tom Hou, Prof. Walid Saad, and Dr. Yi Shi for serving as my committee. :tada:
  • 2025-10 - One paper was submitted to IEEE Transactions on Wireless Communications.
  • 2025-08 - One paper was accepted by IEEE MILCOM. :tada:
  • 2024-11 - One paper was accepted by IEEE Transactions on Vehicular Technology. :tada:
  • 2024-08 - I started my Ph.D. journey in the ECE department at Virginia Tech, Go Hokies!

Publications :file_folder:

  • Fangtong Zhou, Yi Shi, Yubo Wu, Shiva Acharya, Luiz DaSilva, Sastry Kompella, Wenjing Lou, Y. Thomas Hou, “WOS: An Optimized Scheduling Scheme for Federated Learning in Dynamic Wireless Networks,” IEEE Military Communications Conference (MILCOM), Los Angeles, CA, USA, Oct., 2025 . paper
  • Fangtong Zhou, Zhibin Wang, Hangguan Shan, Liantao Wu, Xiaohua Tian, Yuanming Shi, Yong Zhou, “Over-the-Air Hierarchical Personalized Federated Learning,” IEEE Transactions on Vehicular Technology, vol. 74, no. 3, pp. 5006–5021, Mar. 2025 . paper
  • Fangtong Zhou, Zhibin Wang, Yuanming Shi, Yong Zhou, “Decentralized Satellite Federated Learning via Intra- and Inter-Orbit Communications,” IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA, June, 2024 . paper
  • Liantao Wu, Guoliang Gao, Jing Yu, Fangtong Zhou, Yang Yang, Tengfei Wang, “PDD: Partitioning DAG-Topology DNNs for Streaming Tasks,” IEEE Internet of Things Journal, vol. 11, no. 6, pp. 9258–9266, Mar. 2024 . paper
  • Fangtong Zhou, Xu Chen, Hangguan Shan, Yong Zhou, “Adaptive Transceiver Design for Wireless Hierarchical Federated Learning,” IEEE Vehicular Technology Conference (VTC-Fall), Hong Kong, China, October, 2023 . paper
  • Fangtong Zhou, Zhibin Wang, Xiliang Luo, Yong Zhou, “Over-the-Air Computation Assisted Hierarchical Personalized Federated Learning,” IEEE International Conference on Communications (ICC), Rome, Italy, May, 2023 . paper

Review and Service

  • Conference Reviewer: IEEE ICC, IEEE GlobeCom, IEEE VTC
  • Journal Reviewer: IEEE TWC, IEEE TVT, IEEE TGCN

Teaching

  • Graduate Teaching Assistant: ECE 2704 Signals and Systems, Virginia Tech, Fall 2024 & Spring 2025
  • Graduate Teaching Assistant: CS 287 Network Intelligence, ShanghaiTech University, Fall 2022