Xin Fan（范新）

Assistant Professor, Beijing Forestry University
No. 35 Qinghua East Road, Haidian, Beijing, China, 100083
fanxin [at] bjfu.edu.cn
010-62337273
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I’m currently an Assistant Professor at Beijing Forestry University (BJFU). Before joining BJFU, I obtained my B.S., M.E. and Ph.D. (supervised by Prof. Yan Huo) degrees from School of Electronic and Information Engineering, Beijing Jiaotong University (BJTU). In 2020/01–2022/09, I was a visiting Ph.D. student of Prof. Zhi (Gerry) Tian’s group with the Electrical and Computer Engineering Department, George Mason University (GMU), Fairfax, VA, USA. My current research interests lie in the areas of signal processing, communications, and machine learning. I have served as a reviewer for a number of IEEE papers, including J-SAC, IoT-J, WCL, CM, WCM, TWC, TSP, TII, TCoM, TVT, INFOCOM, Globecom, etc.

Research interest: Wireless communications, security and privacy, optimization, statistical signal processing, blockchain, and distributed learning. See this page for more details.

Announcement: I welcome any form of research collaboration. Interested in collaboration? Contact me.

News

Jun 28, 2024 Project “Research on Distributed Learning Method Based on the Fusion of Biological Intelligence and Artificial Intelligence in Edge IoT” received funding from China Postdoctoral Science Foundation (Sole PI).
May 5, 2024 Our paper 3D Physical Layer Secure Transmission for UAV-assisted Mobile Communications without locations of Eavesdroppers was accepted by The 18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA 2024).
Apr 5, 2024 Project “Analysis of the security of Internet protocols of integrated terrestrial-satellite networks” received funding from Horizontal Collaboration (Rate:1/3).
Nov 1, 2023 Project “Intelligent Multi-dimensional Security Threat Detection and Prevention Technology” received funding from Horizontal Collaboration (Rate:2/2).
Aug 12, 2023 Our paper “CB-DSL: Communication-efficient and Byzantine-robust Distributed Swarm Learning on Non-i.i.d. Data” is accepted by IEEE Transactions on Cognitive Communications and Networking.
Aug 1, 2023 Project “Performance Analysis and Evaluation of Distributed Transmission and Computing Integration Technology for Edge Intelligence” received funding from Horizontal Collaboration (Rate:1/4).

Highlights

  1. I published 15 first-authored papers and two patents during my Ph.D. studies. See here.

Selected publications

  1. CB-DSL: Communication-efficient and byzantine-robust distributed swarm learning on non-IID data
    Xin Fan, Yue Wang, Yan Huo, and Zhi Tian
    IEEE Transactions on Cognitive Communications and Networking 2023 | [ PDF ]
  2. Joint optimization of communications and federated learning over the air
    Xin Fan, Yue Wang, Yan Huo, and Zhi Tian
    IEEE Transactions on Wireless Communications 2021 | [ PDF ]
  3. 1-bit compressive sensing for efficient federated learning over the air
    Xin Fan, Yue Wang, Yan Huo, and Zhi Tian
    IEEE Transactions on Wireless Communications 2022 | [ PDF ]
  4. BEV-SGD: Best effort voting SGD against Byzantine attacks for analog-aggregation-based federated learning over the air
    Xin Fan, Yue Wang, Yan Huo, and Zhi Tian
    IEEE Internet of Things Journal 2022 | [ PDF ]
  5. Secure communications in tiered 5G wireless networks with cooperative jamming
    Yan Huo, Xin Fan, Liran Ma, Xiuzhen Cheng, Zhi Tian, and Dechang Chen
    IEEE Transactions on Wireless Communications 2019 | [ PDF ]
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