I am a Postdoctoral Research Associate at the University of Liverpool, UK. I received Ph.D. from the University of Liverpool and National Tsing Hua University in 2025 and M.Eng. from Sun Yat-sen University in 2021.
My research interests include physical layer authentication, radio frequency fingerprint identification (RFFI), deep learning and wireless communications.
đź“ť Publications
A complete list is available on my Google Scholar profile.
Journal Articles
- Y. Guo, J. Zhang, Y.-W. P. Hong, and S. Tomasin, “Model-Driven Learning-Based Physical Layer Authentication for Mobile Wi-Fi Devices,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 21, pp. 1497–1511, 2026. [DOI] [arXiv]
- Y. Guo, J. Zhang, and Y.-W. P. Hong, “Practical Physical Layer Authentication for Mobile Scenarios Using a Synthetic Dataset Enhanced Deep Learning Approach,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 20, pp. 9305–9317, 2025. [DOI] [arXiv]
- S. Zhang, W. Wen, P. Wu, H. Huang, L. Zhu, Y. Guo, T. Yang, and M. Xia, “System-Level Simulation Framework for NB-IoT: Key Features and Performance Evaluation,” IEEE Systems Journal, vol. 19, no. 2, pp. 577–588, 2025. [DOI]
- Y. Guo, W. Wen, P. Wu, and M. Xia, “A Sparsity Adaptive Algorithm to Recover NB-IoT Signal From Legacy LTE Interference,” IEEE Wireless Communications Letters, vol. 10, no. 12, pp. 2703–2707, 2021. [DOI]
Conference Papers
- Y. Guo, J. Zhang, and Y.-W. P. Hong, “Channel Prediction-Based Physical Layer Authentication under Consecutive Spoofing Attacks,” in Proc. IEEE International Conference on Communications (ICC), 2026, pp. 1–6. [DOI] [arXiv]
- Y. Guo, J. Zhang, and Y.-W. P. Hong, “Deep Learning-Enhanced Physical Layer Authentication for Mobile Devices,” in Proc. IEEE Global Communications Conference (GLOBECOM), 2023, pp. 826–831. [DOI]
- Y. Guo, P. Wu, and M. Xia, “Recovering NB-IoT Signal from Legacy LTE Interference via K-means Clustering,” in Proc. IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021, pp. 1–5. [DOI]
đź’Ľ Experience
- 2026.03 - present, Postdoctoral Research Associate, University of Liverpool, UK.
- 2025.11 - 2026.02, Research Assistant, University of Liverpool, UK.
- 2025.01 - 2025.05, Teaching Assistant, University of Liverpool, UK.
đź“– Education
- 2021 - 2025, Ph.D. in Electrical Engineering Electronics and Computer Science, University of Liverpool, UK.
- 2018 - 2021, M.Eng. in Information and Communication Engineering, Sun Yat-sen University, China.
🔬 Research Projects
- 2019.01 - 2019.10, A Study of High-Density Narrowband Internet of Things (NB-IoT) Wireless Technology. Developed NB-IoT wireless technology based on 3GPP Release 15. I was in charge of the narrowband physical uplink shared channel (NPUSCH) and implemented link-level waveform simulations, with the receiver BLER performance validated against the 3GPP TS 36.104 benchmark.
🔬 Academic Services
- Technical programme committee member
- 2026 IEEE GC Wkshps MLDL WS (2026 IEEE Globecom Workshops: 6th Workshop on Machine Learning and Deep Learning for Wireless Security)
- 2027 IEEE ICC CISS (2027 IEEE International Conference on Communications: Communication & Information System Security)
- Journal reviewer
- IEEE Transactions on Information Forensics and Security
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Communications
- IEEE Transactions on Vehicular Technology
- IEEE INFOCOM
- IEEE Communications Letters
🧰 Skills and Languages
- Programming: Python, C++, MATLAB
- Research: deep learning, applied artificial intelligence, wireless communication systems, physical layer security, channel modelling
- Languages: Chinese (native), English