Curriculum Vitae
Guanxiong Shen
Associate Professor, Southeast University
Career
Associate Professor
Dec 2023 – PresentSoutheast University, School of Cyber Science and Engineering · Nanjing, China
Lecturer
Sept 2023 – Dec 2023Southeast University, School of Cyber Science and Engineering · Nanjing, China
Education
Ph.D. in Electrical Engineering and Electronics
2019 – 2023University of Liverpool · Liverpool, United Kingdom
- Thesis: Deep learning enhanced radio frequency fingerprint identification for LoRa
- Supervisors: Dr. Junqing Zhang and Prof. Alan Marshall
B.Eng. in Telecommunication Engineering
2015 – 2019Heriot-Watt University · Edinburgh, United Kingdom
- Honours of the First Class
- Thesis Topic: Deep learning for wireless channel estimation
- Supervisor: Dr. Muhammad R.A. Khandaker
B.Eng. in Telecommunication Engineering
2015 – 2019Xidian University · Xi'an, China
Honors & Awards
- World's Top 2% Scientists List (Stanford University & Elsevier), 2026
- Zijin Young Scholar, Southeast University
Research Interests
I focus on cutting-edge research at the intersection of wireless communications, artificial intelligence, and cybersecurity. My current research interests include but are not limited to:
Publications
Journal Publications
(18)- [J1]
- [J2]
Xinyu Qi, Guyue Li, Xinyue Lin, Guanxiong Shen, “Wi-Fi Radio Frequency Fingerprint Identification Enhanced by Out-of-Band Features and Orthogonality Regularization,” IEEE Transactions on Information Forensics and Security, 2026.CCF AJCR Q1
- [J3]
- [J4]
Xinyu Li†, Long Chen†, Guanxiong Shen†*, Kezhan Zhao, Ze Gu, Qian Ma, Jian Wei You*, Tie Jun Cui*, “Protocol-Agnostic Meta Key Distribution Enabled by Space-Time Metasurface for Encrypted Wireless Communications,” Advanced Science, 2025 (IF=14.1).JCR Q1
- [J5]
Jie Ma, Junqing Zhang*, Guanxiong Shen, Linning Peng, Alan Marshall, “Towards Channel-Robust and Receiver-Independent Radio Frequency Fingerprint Identification,” IEEE Transactions on Information Forensics and Security, 2025.CCF AJCR Q1
- [J6]
Junqing Zhang*, Francesco Ardizzon, Mattia Piana, Guanxiong Shen, Stefano Tomasin, “Physical Layer-Based Device Fingerprinting For Wireless Security: From Theory To Practice,” IEEE Transactions on Information Forensics and Security, 2025 (Survey Paper).CCF AJCR Q1
- [J7]
Rui Pan, Hui Chen, Guanxiong Shen, Hongyang Chen, “Residual Channel Boosts Contrastive Learning for Radio Frequency Fingerprint Identification,” IEEE Wireless Communications Letters, 2025.JCR Q1
- [J8]
Pengcheng Yin, Linning Peng*, Guanxiong Shen, Junqing Zhang, Ming Liu, Hua Fu, Aiqun Hu, Xianbin Wang, “Multi-channel CNN-based Open-set RF Fingerprint Identification for LTE Devices,” IEEE Transactions on Cognitive Communications and Networking, 2024.JCR Q1
- [J9]
- [J10]
- [J11]
Guanxiong Shen, Junqing Zhang*, “Exploration of Transferable Deep Learning-Aided Radio Frequency Fingerprint Identification Systems,” Security and Safety, 2024.
- [J12]
Junqing Zhang*, Guanxiong Shen, Walid Saad, Kaushik Chowdhury, “Radio Frequency Fingerprint Identification for Device Authentication in the Internet of Things,” IEEE Communications Magazine, 2023.JCR Q1
- [J13]
- [J14]
- [J15]
- [J16]
Henri Ruotsalainen, Guanxiong Shen, Junqing Zhang, Radek Fujdiak, “LoRaWAN Physical Layer-Based Attacks and Countermeasures, A Review,” Sensors, vol. 22, no. 9, pp. 3127, 2022.JCR Q2
- [J17]
- [J18]
Guanxiong Shen, Junqing Zhang*, Alan Marshall, Linning Peng, Xianbin Wang, “Radio Frequency Fingerprint Identification for LoRa Using Deep Learning,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2604–2616, 2021.CCF AJCR Q1
Conference Publications
(7)- [C1]
Shuo Wang, Junqing Zhang, Jiahuai Mao, Alessandro Brighente, Guanxiong Shen, Mauro Conti, “Triad-GAN: Feature-Level Generative Adversarial Network for Multi-Receiver Radio Frequency Fingerprint Identification,” Proc. IEEE ICC, 2026.CCF C
- [C2]
Shang Xu, Guanxiong Shen*, Xinyu Li, “Ensemble Learning-Enhanced Radio Frequency Fingerprinting,” Proc. IEEE WCNC, 2025.CCF C
- [C3]
Jie Ma, Junqing Zhang*, Guanxiong Shen, Linning Peng, Alan Marshall, “Towards Channel-Robust Radio Frequency Fingerprint Identification Using Contrastive Learning,” Proc. IEEE WCNC, 2025.CCF C
- [C4]
Jie Ma, Junqing Zhang, Guanxiong Shen, Alan Marshall, Chip-Hong Chang, “White-Box Adversarial Attacks on Deep Learning-Based Radio Frequency Fingerprint Identification,” Proc. IEEE ICC, 2023.CCF C
- [C5]
- [C6]
- [C7]
Guanxiong Shen, Muhammad R.A. Khandaker*, Faisal Tariq, “Learning the Wireless Channel: A Deep Neural Network Approach,” Proc. IEEE UCET, 2020.
Teaching Experience
Teacher
2024 / 2025Southeast University · Nanjing, China
- B5710312 Mobile Communication and Security (taught in English)
- Undergraduate course
Lab Demonstrator
2020 / 2021University of Liverpool · Liverpool, United Kingdom
- ELEC431 Software Engineering and Programming
- Instructed M.Sc. students to complete the Matlab course design
Funding
National Natural Science Foundation of China, Youth Funding
2024 – 2027Principal Investigator
RF fingerprint identification for vehicle digital keys based on physical layer characteristics
Huawei University-Enterprise Cooperation Funding
2025 – 2026Principal Investigator
RF fingerprint identification for Wi-Fi
Supervision
Ph.D. Students
2Rui Pan · Hailang Jia
M.Phil. Students
9Chenyang Wu · Xiangcong Li · Jiahua Zou · Jiamu Guo · Yang Song · Dacheng Shang · Wentao Xiao · Chenshuo Tang · Lu Yang
Undergraduate Students
6Yuetong Wang · Jiamu Guo · Zhiyao Wu · Runheng Lu · Lu Li · Shang Xu
Professional Activities
Workshop Co-Chair
- IEEE ICC 2026 Workshop on Machine Learning and Deep Learning for Wireless Security
- IEEE GLOBECOM 2025 Workshop on Machine Learning and Deep Learning for Wireless Security
- IEEE ICC 2025 Third Workshop on Machine Learning and Deep Learning for Wireless Security
- IEEE GLOBECOM 2024 Second Workshop on Machine Learning and Deep Learning for Wireless Security
- IEEE ICC 2024 First Workshop on Machine Learning and Deep Learning for Wireless Security
TPC Member
- IEEE ACM WiseML 2026 Workshop on Wireless Security and Machine Learning
- IEEE WCNC 2026 Workshop on Physical Layer Security for Wireless Communications
- IEEE ICNC 2026 AI and Machine Learning for Communications and Networking
- IEEE INFOCOM 2025 Third DeepWireless Workshop: Deep Learning for Wireless Communications, Sensing, and Security
- IEEE WCNC 2025 Workshop on Physical Layer Security for Wireless Communications
- IEEE INFOCOM 2024 Second DeepWireless Workshop: Deep Learning for Wireless Communications, Sensing, and Security
Reviewer
- IEEE TIFS, IEEE TMC, IEEE JSAC, IEEE Communications Magazine, INFOCOM, ICC, GLOBECOM, etc.