About me
Guanxiong Shen (申冠雄) is currently an Associate Professor (Tenure-Track) with the School of Cyber Science and Engineering, Southeast University (东南大学), China. He received his PhD from the University of Liverpool, UK, in 2023 under the supervision of Dr Junqing Zhang and Prof Alan Marshall. His detailed education background and work experience can be found in Education and Work.
My official personal homepage at Southeast University: 中文个人主页
Please send me an email if you are interested in collaborating.
Research Area
We target cutting-edge research at the intersection of wireless communications, artificial intelligence, and cybersecurity. My current research interests include but are not limited to:
- Radio frequency fingerprint identification
- Physical Layer Security
- Wireless sensing
- AI Security in the Wireless Context
News!!!
- (21 Nov 2023) Our paper, “Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification” has been accepted by IEEE Transactions on Mobile Computing. IEEE, arXiv. The code and dataset are available at Code and Dataset.
- (26 March 2023) Our paper, “Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification” has been accepted by IEEE Transactions on Information Forensics and Security. IEEE, Dataset, Code
- (9 March 2023) Our paper, “Deep Learning-Powered Radio Frequency Fingerprint Identification: Methodology and Case Study” has been accepted by IEEE Communications Magazine. Congratulations Guanxiong. The code of the paper can be found at Code.
- (7 November 2022) 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. Congratulations Guolin.
- (23 January 2022) 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 and Code.
- (1 December 2021) Our paper, “Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices”, has been presented at Asilomar 2021. Please visit arXiv for the preprint.
- (3 May, 2021) Our paper, “Radio Frequency Fingerprint Identification for LoRa Using Deep Learning”, has just been accepted by IEEE JSAC Series on Machine Learning in Communications and Networks.
- (5 December, 2020) Our paper, “Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN”, has just been accepted by INFOCOM 2021.
Contact
Email: gxshen AT seu.edu.cn
School of Cyber Science and Engineering
Southeast University
Nanjing China