Guanxiong Shen

Guanxiong Shen

Associate Professor

Southeast University

Research Interests

Applied Machine Learning in Wireless Systems
Radio Frequency Fingerprinting
Information Hiding in Wireless Systems
Machine Learning at Wireless PHY Layer
Intelligent Wireless Networking

About

I am currently an Associate Professor with the School of Cyber Science and Engineering, Southeast University (东南大学), China. I received my PhD from the University of Liverpool, UK, in 2023 under the supervision of Dr Junqing Zhang and Prof Alan Marshall.

My official personal homepage at Southeast University: 中文个人主页. I sincerely welcome all forms of collaboration.

Recruiting PhD and MSc Students: If you are interested in joining my lab, please feel free to contact me. Excellent programming skills, such as experience in Python, C++, Verilog HDL, and related areas, would be a valuable foundation for our research. Please do not worry if you do not have a background in wireless communications, as our work lies at the intersection of AI and wireless technologies, where both skill sets are equally important.

我们欢迎保研或考研的硕士、博士研究生加入: 课题组介绍


RF Fingerprinting Prototype

Every wireless device possesses a unique "hardware fingerprint" due to subtle manufacturing imperfections. RF fingerprinting technology leverages neural networks to capture the minute waveform characteristics of transmitted signals, enabling precise device identification.

RF Steganography Prototype

Every wireless signal can serve as a covert "envelope." RF steganography technology uses neural networks to introduce imperceptible waveform distortions into transmitted signals, embedding secret information at the physical layer.

News

2026-03
Mr Hailang Jia joins the group as a PhD student. Welcome!
2025-11
Our paper, "Protocol-Agnostic Meta Key Distribution Enabled by Space-Time Metasurface for Encrypted Wireless Communications" has been accepted by Advanced Science (IF=14.1). View.
2025-11
Our paper, "Towards Channel-Robust and Receiver-Independent Radio Frequency Fingerprint Identification" has been accepted by IEEE Transactions on Information Forensics and Security. View.
2025-10
Mr Rui Pan joins the group as a PhD student (co-supervised with Dr Linning Peng). Welcome!
2025-06
We are honored to present our work on RF fingerprinting at the IEEE SPS Webinar. Prof Joseph Cavallaro from Rice University also shared recent research on deploying RF fingerprinting systems on FPGAs. SPS Webinar.
2025-05
Our survey paper, "Physical Layer-Based Device Fingerprinting For Wireless Security: From Theory To Practice" has been accepted by IEEE Transactions on Information Forensics and Security. View.
2024-09
Our paper, "Federated Radio Frequency Fingerprint Identification Powered by Unsupervised Contrastive Learning" has been accepted by IEEE Transactions on Information Forensics and Security. View, Code, Dataset.
2023-11
Our paper, "Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification" has been accepted by IEEE Transactions on Mobile Computing. Code and Dataset.
2023-03
Our paper, "Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification" has been accepted by IEEE Transactions on Information Forensics and Security. Dataset, Code.
2023-03
Our paper, "Deep Learning-Powered Radio Frequency Fingerprint Identification: Methodology and Case Study" has been accepted by IEEE Communications Magazine. Code.
2022-11
Our paper, "FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning" has been accepted by IEEE Transactions on Mobile Computing.
2022-01
Our paper, "Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa" has been accepted by IEEE Transactions on Information Forensics and Security. Dataset, Code.
2021-12
Our paper, "Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices", has been presented at Asilomar 2021. arXiv.
2021-05
Our paper, "Radio Frequency Fingerprint Identification for LoRa Using Deep Learning", has been accepted by IEEE JSAC Series on Machine Learning in Communications and Networks.
2020-12
Our paper, "Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN", has been accepted by INFOCOM 2021.

Selected Publications

View All

Protocol-Agnostic Meta Key Distribution Enabled by Space-Time Metasurface for Encrypted Wireless Communications

Xinyu Li†, Long Chen†, Guanxiong Shen†, Kezhan Zhao, Ze Gu, Qian Ma, Jian Wei You, Tie Jun Cui

Advanced Science

IF=14.1

Towards Channel-Robust and Receiver-Independent Radio Frequency Fingerprint Identification

Jie Ma, Junqing Zhang, Guanxiong Shen, Linning Peng, Alan Marshall

IEEE Transactions on Information Forensics and Security

Physical Layer-Based Device Fingerprinting For Wireless Security: From Theory To Practice

Junqing Zhang, Francesco Ardizzon, Mattia Piana, Guanxiong Shen, Stefano Tomasin

IEEE Transactions on Information Forensics and Security

Survey Paper

Federated Radio Frequency Fingerprint Identification Powered by Unsupervised Contrastive Learning

Guanxiong Shen, Junqing Zhang, Xuyu Wang, Shiwen Mao

IEEE Transactions on Information Forensics and Security

Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification

Guanxiong Shen, Junqing Zhang, Alan Marshall, Roger Woods, Joseph Cavallaro, Liquan Chen

IEEE Transactions on Mobile Computing