Short Bio

Guyue Li (Member, IEEE) is an Associate Professor at the School of Cyber Science and Engineering, Southeast University, China. With over a decade of focused research in wireless communication security and cyberspace security, she has published more than 90 high-quality papers in top-tier IEEE journals and conferences, including IEEE Transactions on Information Forensics and Security, IEEE Transactions on Wireless Communications, and IEEE INFOCOM.

Dr. Li was named to Stanford University’s World’s Top 2% Scientists in both 2024 and 2025, and has been honored with the 2022 URSI AT-AP-RASC Young Scientist Award, 2022 Jiangsu Institute of Cyber Science and Engineering Young Scientist Award, and 2023 IEEE Communications Letters Exemplary Editor title.

Her research interests span wireless communication physical layer security, 5G/6G endogenous security and privacy protection, reconfigurable intelligent surface (RIS)-assisted secure communication, IoT and edge access security, with core expertise in secret key generation, radio frequency (RF) fingerprint identification, and cooperative jamming.

She has rich international research experience, serving as a Research Fellow at The Hong Kong Polytechnic University, a Visiting Scholar at École supérieure d’ingénieurs en électronique et électrotechnique, and a Visiting Student at Tampere University of Technology.

Currently, Dr. Li holds editorial roles as an Editor of IEEE Communication Letters and an Associate Editor of EURASIP Journal on Wireless Communications and Networking. Her academic service also includes serving as Workshop Co-Chair of IEEE VTC-Fall, Co-Chair of IEEE IoTCIT 2024 Workshop, and upcoming Co-Chair of IEEE PIMRC 2025.

Personal Details

• Full Name: Guyue Li
• Date of Birth: 1989/09/06
• Nationality: Chinese
• Address: Sipailou 2#, Southeast University, Nanjing City, Jiangsu Province, China 210096
• Phone: (+86) 13952012139
• E-mail: guyuelee@seu.edu.cn
• Website: https://guyuelee.github.io/blog.github.io/
• Google Scholar: https://scholar.google.com/citations?hl=zh-CN&user=dsi9hPEAAAAJ
• ResearchGate: https://www.researchgate.net/profile/Guyue-Li-2

PROFESSIONAL APPOINTMENTS

Academic Qualifications

Professional Service

Editorial Roles

Conference Roles

Research Projects

Honors

Publications

Selected/Recent Publications

• XIAO Q, LI G, LIU Z, et al. Optimal subcarrier allocation scheme for physical-layer key generation in an OFDMA network[J]. IEEE Transactions on Information Forensics and Security, 2025, 20: 4929-4942.
• LI G, STAAT P, LI H, et al. RIS-jamming: Breaking key consistency in channel reciprocity-based key generation[J]. IEEE Transactions on Information Forensics and Security, 2024, 19: 5090-5105.
• HU L, LI G, QIAN X, et al. Reconfigurable intelligent surface-assisted secret key generation in spatially correlated channels[J]. IEEE Transactions on Wireless Communications, 2024, 23(3): 2153-2166.
• LI G, LUO H, YU J, et al. Information-theoretic secure key sharing for wide-area mobile applications[J]. IEEE Wireless Communications, 2024, 31(1): 118-124.
• SUN Y, LI G, LUO H, et al. Location-invariant radio frequency fingerprint for base station recognition[J]. IEEE Wireless Communications Letters, 2023, 12(9): 1583-1587.
• LI G, HU L, STAAT P, et al. Reconfigurable intelligent surface for physical layer key generation: Constructive or destructive?[J]. IEEE Wireless Communications, 2022, 29(4): 146-153.
• LI G, SUN C, XU W, et al. On maximizing the sum secret key rate for reconfigurable intelligent surface-assisted multiuser systems[J]. IEEE Transactions on Information Forensics and Security, 2022, 17: 211-225.
• LI G, YANG H, ZHANG J, et al. Fast and secure key generation with channel obfuscation in slowly varying environments[C]//IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 2022: 1-10.
• LI G, SUN C, JORSWIECK E A, et al. Sum secret key rate maximization for TDD multi-user massive MIMO wireless networks[J]. IEEE Transactions on Information Forensics and Security, 2021, 16: 968-982.
• LI G, HU A, ZHANG J, et al. High-agreement uncorrelated secret key generation based on principal component analysis preprocessing[J]. IEEE Transactions on Communications, 2018, 66(7): 3022-3034.

Full List

2026

• L. Shen, G. Li., J. Han, T. Wu, and A. Hu. “CIDO-FANet: Channel-Robust RF Fingerprinting Identification for 5G Devices,” 2026 IEEE Wireless Communications and Networking Conference (WCNC)
• Y. Sun, G. Li, H. Chou, and A. Hu, “Channel-Robust RFF for Low-Latency 5G Device Identification in SIMO Scenarios,” 2026 IEEE Wireless Communications and Networking Conference (WCNC)

2025

• A. Huo, G. Li, L. Yang, Z. Liu and A. Hu, “Enhancing Wireless Communication Security With Variable Bloom Filter-Based Physical-Layer Secure Transmission,” in IEEE Internet of Things Journal
• Q. Xiao, G. Li, Z. Liu and A. Hu, “Optimal Subcarrier Allocation Scheme for Physical-Layer Key Generation in an OFDMA Network,” in IEEE Transactions on Information Forensics and Security, vol. 20, pp. 4929-4942, 2025
• Z. Chu, G. Li, Q. Meng, H. Li, Y. Zeng, Defeating CSI obfuscation mechanisms: A study on unauthorized Wi-Fi Sensing in wireless sensor network, Computer Networks, Volume 263, 2025, 111208
• G. Li, Y. Zhou, Y. Sun et al., “Endogenous Security Techniques for Safeguarding Next-Generation Spectrum Usage at the Physical Layer,” in IEEE Network
• M. Liu, Z. Zhou, Q. Shi, G. Li, Z. Liu, P. Fan, “Joint Beamforming Design for Integrated Sensing and Communication Systems with Hybrid-Colluding Eavesdroppers,” in IEEE Transactions on Communications
• T. Wu, G. Li, J. Wang, B. Xiao and Y. Song, “PPCA: Privacy-Preserving Continuous Authentication Scheme With Consistency Proof for Zero-Trust Architecture Networks,” in IEEE Internet of Things Journal, vol. 12, no. 11, pp. 17596-17609, 1 June 1, 2025
• Sun, R., G. Li, Zuo, D. (2025). Physical Layer Key Generation Research for DSC Scenarios. In: Dong, J., Zhang, L., Zheng, T. (eds) Proceedings of the 3rd International Conference on Internet of Things, Communication and Intelligent Technology. IoTCIT 2024. Lecture Notes in Electrical Engineering, vol 1365. Springer, Singapore.

2024

• H. Yang, B. Xie, J. Wang, G. Li and B. Xiao, “Privacy-Preserving and Secure Decentralized Identity Management for Multiple Controllers,” GLOBECOM 2024 - 2024 IEEE Global Communications Conference, Cape Town, South Africa, 2024, pp. 541-546
• S. Feng, Y. Cheng, G. Li, B. Xiao and A. Hu, “Physical-layer Secret Key Generation with Energy Efficiency Maximization,” GLOBECOM 2024 - 2024 IEEE Global Communications Conference, Cape Town, South Africa, 2024, pp. 1713-1718
• M. Liu, Z. Zhou, Q. Shi, G. Li, et al., “Security of Integrated Sensing and Communication Systems with Hybrid Eavesdroppers,” 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Zhuhai, China, 2024, pp. 1-5
• Y. Du, H. Dai, H. Liu, G. Li, Y. Ren and K. Zhang, “Efficient and Error-Free Secret Key Generation Leveraging Sorted Indices Matching,” in IEEE Transactions on Mobile Computing, vol. 24, no. 2, pp. 779-793, Feb. 2025
• J. Wang, S. Gao, G. Li, K. Gai and B. Xiao, “SAMCU: Secure and Anonymous Multi-Channel Updates in Payment Channel Networks,” in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 9115-9128, 2024
• X. Yuan, Y. Jiang, G. Li and A. Hu, “Wireless Channel Key Generation Based on Multisubcarrier Phase Difference,” in IEEE Internet of Things Journal, vol. 11, no. 20, pp. 32939-32955, 15 Oct 15, 2024
• H. Xu; K. Wong; W. New; G. Li et al., “Coding-Enhanced Cooperative Jamming for Secret Communication in Fluid Antenna Systems,” in IEEE Communications Letters, vol. 28, no. 9, pp.1991-1995, Sept. 2024
• Z. Liu, X. Zhang, G. Li, H. Cui, J. Wang and B. Xiao, “A Secure and Reliable Blockchain-based Audit Log System,” ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA, 2024, pp. 2010-2015
• G. Li et al., “RIS-Jamming: Breaking Key Consistency in Channel Reciprocity-Based Key Generation,” in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 5090-5105, 2024
• C. Sun, G. Li, H. Luo and A. Hu, Physical-layer key generation for multi-user massive MIMO wireless communications, Physical Layer Security for 6G Networks, Chapter 12, 323-350
• G. Li, L. Hu, L. Jiao, K. Zeng et al, Impact of reconfigurable intelligent surfaces on physical layer key generation in NextG wireless networks, Physical Layer Security for 6G Networks, Chapter 9, 237-269
• X. Zhang, G. Li, J. Zhang, L. Peng, A. Hu and X. Wang, “Enabling Deep Learning-Based Physical-Layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments,” in IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 10135-10149, July 2024
• G. Li, Y. Ma, W. Wang, J. Zhang and H. Luo, “The Self-Detection Method of the Puppet Attack in Biometric Fingerprinting,” in IEEE Internet of Things Journal, vol. 11, no. 10, pp. 1882418838, 15 May 15, 2024
• Y. Du; H. Dai; H. Liu; Y. Wang; G. Li et al., “Secret Key Generation Based on Manipulated Channel Measurement Matching,” in IEEE Transactions on Mobile Computing, vol. 23, no. 10, pp. 9532-9548, Oct. 2024
• H. Tang, G. Li, T. Guo and A. Hu, “A VT-Code-Based Information Reconciliation Scheme for Secret Key Generation Using RSS,” in IEEE Communications Letters, vol. 28, no. 4, pp. 783-787, April 2024
• W. Wang, G. Li, Z. Chu, H. Li and D. Faccio, “Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks,” in IEEE Sensors Journal, vol. 24, no. 6, pp. 8250 -8264, 15 March 15, 2024
• Q. Xiao, J. Zhao, S. Feng, G. Li, and A. Hu, Securing NextG networks with physical-layer key generation: A survey, Security and Safety, 3 (2024) 2023021 2023
• L. Hu, G. Li, A. Hu and D. W. K. Ng, “Exploiting Malicious RIS for Secret Key Acquisition in Physical-Layer Key Generation,” in IEEE Wireless Communications Letters, vol. 13, no. 2, pp. 417421, Feb. 2024
• Q. Meng, G. Li, J. Shi and A. Hu, “Enhancing RF Fingerprinting with a Simulated Attack Detection Strategy for Few Labeled Signals,” 2023 IEEE 23rd International Conference on Communication Technology (ICCT), Wuxi, China, 2023, pp. 281-285
• H. Li, G. Li, L. Hu, A. Hu and D. W. Kwan Ng, “RIS-Assisted Physical-Layer Key Generation with Discrete Phase Shift Optimization,” 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Hong Kong, 2023, pp. 1-5
• Z. Zhang, G. Li, J. Shi, H. Li and A. Hu, “Real-World Aircraft Recognition Based on RF Fingerprinting With Few Labeled ADS-B Signals,” in IEEE Transactions on Vehicular Technology, vol. 73, no. 2, pp. 2866-2871, Feb. 2024
• H. Sun, G. Li et al., “A Physical-Layer Key Generation Scheme for Non-Square Channel Matrices Based on PMI,” 2023 IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, 2023, pp. 1-6
• L. Hu, C. Sun, G. Li, A. Hu and D. W. K. Ng, “Reconfigurable Intelligent Surface-Aided Secret Key Generation in Multi-Cell Systems,” in IEEE Transactions on Communications, vol. 71, no. 11, pp. 6499-6513, Nov. 2023
• L. Hu, G. Li, X. Qian, A. Hu and D. W. K. Ng, “Reconfigurable Intelligent Surface-Assisted Secret Key Generation in Spatially Correlated Channels,” in IEEE Transactions on Wireless Communications, vol. 23, no. 3, pp. 2153-2166, March 2024
• Y. Sun, G. Li, H. Luo, Y. Xing, S. Dang and A. Hu, “Location-Invariant Radio Frequency Fingerprint for Base Station Recognition,” in IEEE Wireless Communications Letters, vol. 12, no. 9, pp. 1583-1587, Sept. 2023
• H. Luo, G. Li, Y. Xing, J. Zhang, A. Hu and X. Wang, “RelativeRFF: Multi-Antenna Device Identification in Multipath Propagation Scenarios,” ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 3708-3713
• Z. Liu, X. Zhang, L. Lao, G. Li and B. Xiao, “DBE-voting: A Privacy-Preserving and Auditable Blockchain-Based E-Voting System,” ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 6571-6577
• G. Li, H. Luo, J. Yu, A. Hu and J. Wang, “Information-Theoretic Secure Key Sharing for WideArea Mobile Applications,” in IEEE Wireless Communications, vol. 31, no. 1, pp. 118-124, February 2024

2022

• J. Yang, S. Gao, G. Li, R. Song and B. Xiao, “Reducing Gas Consumption of Tornado Cash and Other Smart Contracts in Ethereum,” 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Wuhan, China, 2022, pp. 921-926
• L. Hu, G. Li, X. Qian, D. W. Kwan Ng and A. Hu, “Joint Transmit and Reflective Beamforming for RIS-assisted Secret Key Generation,” GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 2352-2357
• Z. Huang, G. Li, A. Hu, J. Yu and S. Wu, “Recognizing Automotive Ethernet Device by Extracting Fingerprint from Power Spectrum,” 2022 IEEE 22nd International Conference on Communication Technology (ICCT), Nanjing, China, 2022, pp. 1442-1446
• Y. Hou, G. Li, S. Dang, L. Hu and A. Hu, “Physical Layer Encryption Scheme Based on Dynamic Constellation Rotation,” 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London, United Kingdom, 2022, pp. 1-5
• G. Li et al., “Reconfigurable Intelligent Surface for Physical Layer Key Generation: Constructive or Destructive?,” in IEEE Wireless Communications, vol. 29, no. 4, pp. 146-153, August 2022
• G. Li, H. Yang, J. Zhang, H. Liu and A. Hu, “Fast and Secure Key Generation with Channel Obfuscation in Slowly Varying Environments,” IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, London, United Kingdom, 2022, pp. 1-10

2021

• G. Li, C. Sun, W. Xu, M. D. Renzo and A. Hu, “On Maximizing the Sum Secret Key Rate for Reconfigurable Intelligent Surface-Assisted Multiuser Systems,” in IEEE Transactions on Information Forensics and Security, vol. 17, pp. 211-225, 2022
• Y. Yang, A. Hu, J. Yu, G. Li, Z. Zhang, Radio frequency fingerprint identification based on stream differential constellation trace figures, Physical Communication, Volume 49, 2021, 101458
• G. Li, Y. Xu, W. Xu, E. Jorswieck and A. Hu, “Robust Key Generation With Hardware Mismatch for Secure MIMO Communications,” in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 5264-5278, 2021
• L. Hu, Y. Chen, G. Li and A. Hu, “Exploiting Artificial Randomness for Fast Secret Key Generation in Quasi-static Environments,” 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP), Nanjing, China, 2021, pp. 985-989
• X. Zhang, G. Li, Z. Hou and A. Hu, “Secret Key Generation for FDD Systems Based on Complex-Valued Neural Network,” 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, OK, USA, 2021, pp. 1-6
• H. Luo, G. Li and L. Hu, “On the Security of RIS-assisted Manipulating Attack in MISO systems,” 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, OK, USA, 2021, pp. 1-5
• L. Hu, G. Li, H. Luo and A. Hu, “On the RIS Manipulating Attack and Its Countermeasures in Physical-layer Key Generation,” 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, OK, USA, 2021, pp. 1-5
• X. Zhang, G. Li, J. Zhang, A. Hu, Z. Hou and B. Xiao, “Deep-Learning-Based Physical-Layer Secret Key Generation for FDD Systems,” in IEEE Internet of Things Journal, vol. 9, no. 8, pp. 6081 -6094, 15 April 15, 2022
• Y. Chen, G. Li, C. Pan, L. Hu and A. Hu, Intelligent Reflecting Surface-Assisted Secret Key Generation In Multi-antenna Network, 2021, 2105.00511, arXiv, cs.IT
• Y. Xu, A. Hu, and G. Li. 2021. LOBBY: A Novel Physical-layer Key Generation Method. In Proceedings of the 2021 9th International Conference on Communications and Broadband Networking (ICCBN ‘21). Association for Computing Machinery, New York, NY, USA, 295-299.
• X. Zhou, A. Hu, G. Li, L. Peng, Y. Xing and J. Yu, “A Robust Radio-Frequency Fingerprint Extraction Scheme for Practical Device Recognition,” in IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11276-11289, 15 July 15, 2021

2020

• C. Sun, H. Yang and G. Li, “AmpRmdr: Remainder-Based Secret Key Generation Using Wireless Channel Amplitude,” in IEEE Access, vol. 8, pp. 228178-228187, 2020
• C. He, Y. Xu, J. Shi, C. Lei and G. Li, “Detection Algorithm of the Mimicry Attack and Its Implementation in the ZigBee Platform,” 2020 IEEE 20th International Conference on Communication Technology (ICCT), Nanning, China, 2020, pp. 1083-1088
• G. Li, C. Sun, E. A. Jorswieck, J. Zhang, A. Hu and Y. Chen, “Sum Secret Key Rate Maximization for TDD Multi-User Massive MIMO Wireless Networks,” in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 968-982, 2021
• C. Sun and G. Li, “Power Allocation and Beam Scheduling for Multi-User Massive MIMO Secret Key Generation,” in IEEE Access, vol. 8, pp. 164580-164592, 2020
• J. Zhang, G. Li, A. Marshall, A. Hu and L. Hanzo, “ANew Frontier for IoT Security Emerging From Three Decades of Key Generation Relying on Wireless Channels,” in IEEE Access, vol. 8, pp. 138406-138446, 2020
• Y. Xing, T. Wang, F. Zhou, A. Hu, G. Li and L. Peng, “EVAL Cane: Nonintrusive Monitoring Platform With a Novel Gait-Based User-Identification Scheme,” in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-15, 2021, Art no. 2500115
• G. Li, Z. Zhang, J. Zhang and A. Hu, “Encrypting Wireless Communications on the Fly Using One-Time Pad and Key Generation,” in IEEE Internet of Things Journal, vol. 8, no. 1, pp. 357-369, 1 Jan 1, 2021
• Y. Xing, A. Hu, J. Zhang, J. Yu, G. Li and T. Wang, “Design of a Robust Radio-Frequency Fingerprint Identification Scheme for Multimode LFM Radar,” in IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10581-10593, Oct. 2020
• Y. Chen, G. Li, C. Sun, J. Zhang, E. Jorswieck and B. Xiao, “Beam-Domain Secret Key Generation for Multi-User Massive MIMO Networks,” ICC 2020 - 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6
• G. Li, Jiabao Yu, and Aiqun Hu. “Research on physical-layer security based on device and channel characteristics.”Journal of Cryptologic Research7.2 (2020): 224-248.
• Yuan Rui, Peng Linning, G. Li, et al. Research on the Performance of Wireless Channel Key Generation in Different Environments [J]. Journal of Cryptologic Research, 2020, 7(2): 261-273.

2019

• Y. Xing, A. Hu, J. Yu, G. Li, L. Peng and F. Zhou, “A Robust Radio Frequency Fingerprint Identification Scheme for LFM Pulse Radars,” 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Barcelona, Spain, 2019, pp. 1-6
• J. Yu, A. Hu; F. Zhou; Y. Xing; Y. Yu; G. Li., “Radio Frequency Fingerprint Identification Based on Denoising Autoencoders,” 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Barcelona, Spain, 2019, pp. 1-6
• L. Yao, L. Peng, G. Li, H. Fu and A. Hu, “A Simulation and Experimental Study of Channel Reciprocity in TDD and FDD Wiretap Channels,” 2019 IEEE 19th International Conference on Communication Technology (ICCT), Xi’an, China, 2019, pp. 113-117
• Y. Wang, L. Peng, H. Fu, G. Li and A. Hu, “Performance Analysis of Concatenated Error Correction Code in Secret Key Generation System,” 2019 IEEE 19th International Conference on Communication Technology (ICCT), Xi’an, China, 2019, pp. 270-275
• G. Li, J. Yu, Y. Xing and A. Hu, “Location-Invariant Physical Layer Identification Approach for WiFi Devices,” in IEEE Access, vol. 7, pp. 106974-106986, 2019
• G. Li., Z. Zhang et al A Hybrid Information Reconciliation Method for Physical Layer Key Generation. Entropy 2019,21, 688
• B. Liu, A. Hu and G. Li, “Secret Key Generation Scheme Based on the Channel Covariance Matrix Eigenvalues in FDD Systems,” in IEEE Communications Letters, vol. 23, no. 9, pp. 1493-1496, Sept. 2019
• Zhang J, Ding M, Li G, et al. Key generation based on large scale fading[J]. IEEE Transactions on Vehicular Technology, 2019, 68(8): 8222-8226.
• X. Zhou, A. Hu, G. Li, L. Peng, Y. Xing and J. Yu, “Design of a Robust RF Fingerprint Generation and Classification Scheme for Practical Device Identification,” 2019 IEEE Conference on Communications and Network Security (CNS), Washington, DC, USA, 2019, pp. 196-204
• G. Li, L. Hu and A. Hu, “Lightweight Group Secret Key Generation Leveraging Non-Reconciled Received Signal Strength in Mobile Wireless Networks,” 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai, China, 2019, pp. 1-6
• G. Li, et al. Physical Layer Key Generation in 5G and Beyond Wireless Communications: Challenges and Opportunities. Entropy 2019, 21, 497.
• J. Yu, A. Hu, G. Li and L. Peng, “A Multi-Sampling Convolutional Neural Network-Based RF Fingerprinting Approach for Low-Power Devices,” IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Paris, France, 2019, pp. 1-6
• Z. Zhang, G. Li and A. Hu, “An Adaptive Information Reconciliation Protocol for Physical-Layer Based Secret Key Generation,” 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1-5
• J. Yu, A. Hu, G. Li and L. Peng, “A Robust RF Fingerprinting Approach Using Multisampling Convolutional Neural Network,” in IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6786-6799
• A. Hu, G. Li, et al. Teaching Exploration of Cutting-edge Technologies in Cyberspace Security Integrated with Ideological and Political Education. Journal of Network and Information Security. 2019 5 (3) : 54-66.

2018

• L. Peng, G. Li, J. Zhang and A. Hu, “Securing M2M Transmissions Using Nonreconciled Secret Keys Generated from Wireless Channels,” 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6
• G. Li, A. Hu, C. Sun and J. Zhang, “Constructing Reciprocal Channel Coefficients for Secret Key Generation in FDD Systems,” in IEEE Communications Letters, vol. 22, no. 12, pp. 2487-2490, Dec. 2018
• L. Hu, A. Hu, G. Li and C. Cao, “Lightweight Group Key Distribution Method Based on High Similar Wireless Channel Characteristics,” 2018 IEEE 18th International Conference on Communication Technology (ICCT), Chongqing, China, 2018, pp. 140-144
• Y. Xing, A. Hu, J. Zhang, L. Peng and G. Li, “On Radio Frequency Fingerprint Identification for DSSS Systems in Low SNR Scenarios,” in IEEE Communications Letters, vol. 22, no. 11, pp. 2326-2329, Nov. 2018
• L. PENG, G. Li, J. Zhang, R. Woods, M. Liu and A. Hu, “An Investigation of Using Loop-Back Mechanism for Channel Reciprocity Enhancement in Secret Key Generation,” in IEEE Transactions on Mobile Computing, vol. 18, no. 3, pp. 507-519, 1 March 2019
• G. Li, A. Hu, J. Zhang, L. Peng, C. Sun and D. Cao, “High-Agreement Uncorrelated Secret Key Generation Based on Principal Component Analysis Preprocessing,” in IEEE Transactions on Communications, vol. 66, no. 7, pp. 3022-3034, July 2018
• L. Hu, F. Zhang, A. Hu, Y. Jiang, G. Li, A key generation scheme for wireless physical layer based on frequency hopping, Procedia Computer Science, Volume 131, 2018, 1104-1112

Earlier

• G. Li, A. Hu, J. Zhang and B. Xiao, “Security Analysis of a Novel Artificial Randomness Approach for Fast Key Generation,” GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6
• L. Peng, G. Li and A. Hu, “Channel reciprocity improvement of secret key generation with loopback transmissions,” 2017 IEEE 17th International Conference on Communication Technology (ICCT), Chengdu, China, 2017, pp. 193-198
• G. Li. Research on the Theory and Method of Physical Layer Security in Wireless Communication Diss. Nanjing: Southeast University, 2017.
• G. Li, A. Hu, L. Peng and C. Sun, “The Optimal Preprocessing Approach for Secret Key Generation from OFDM Channel Measurements,” 2016 IEEE Globecom Workshops (GC Wkshps), Washington, DC, USA, 2016, pp. 1-6
• G. Li and A. Hu, “Virtual MIMO-based cooperative beamforming and jamming scheme for the clustered wireless sensor network security,” 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, 2016, pp. 2246-2250
• J. Li, A. Hu and G. Li, “Analysis of non-reciprocity factors in extracting secret key from wireless channels for practical indoor scenarios,” 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, 2016, pp. 227-231
• G. Li and A. Hu, “MISO secrecy transmission via designing artificial noise by receiver under perfect and imperfect CSI,” 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, 2016, pp. 2664-2668
• G. Li, A. Hu, Y. Zou, L. Peng and M. Valkama, “A Novel Transform for Secret Key Generation in Time-Varying TDD Channel under Hardware Fingerprint Deviation,” 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), Boston, MA, USA, 2015, pp. 1-5
• G. Li et al, Y. A novel artificial noise aided security scheme to resist blind source separation attacks. Chin. Sci. Bull. 59, 4225-4234 (2014)
• G. Li, et al. Key generation method for wireless channels [J]. Journal of Cryptologic Research, 2014, 1(3): 211-224.
• A. Hu, G. Li. Physical layer security in wireless communication: A survey [J]. Data Acquisition and Processing,2014,29(3):341-350
• G. Li, and A. Hu, An approach to resist blind source separation attacks of speech signals, 2014 Communications Security Conference (CSC 2014).

Supervision and Mentoring

PhD Students

• 2025: Shah Syed Shafaq Ali, Longlong Shen, Xiaobo Wang, Jiawei Hu
• 2024: Zhiyu Huang, Zhiming Chu
• 2023: Tianqi Wu

Master Students

2025

• Zechen Zhang: Research on RF Fingerprint Recognition Technology in Large Scale Device Access
• Haoyu Li: Research on Physical-Layer Key Generation Methods Based on Reconfigurable Intelligent Surface
• Mokai Yang: Research on Wireless Channel Key Generation Technique for 5G NR
• Haixi Sun: Research on Physical-Layer Key Generation and Encryption Methods for 5G Multi-Antenna Systems
• Qingchun Meng: Research on Intelligent RF Fingerprint Recognition Methods for Data Distribution Limitations
• Ruichen Sun: Physical Layer Key Generation Method and Implementation for DSC Communication System
• Sheng Feng: Physical-Layer Secret Key Generation with Energy Efficiency Maximization

2024

• Jingyan Yang: Research on Gas Consumption Optimization Methods for Ethereum Smart Contracts Aimed at Anonymous Transactions
• Jinrong Zhao: Research on Key Generation Techniques under FDD Massive MIMO Systems
• Yiyun Ma: Research on Authentication of Biometric Fingerprint
• Hongyi Luo: Research on Multi-antenna RF Fingerprint Identification Resistant to Multipath Channels
• Yujie Hou: Research on Physical Layer Key Generation and Encryption Technologies Oriented to 5G
• Yilun Sun: Method for Identifying Pseudo Base Station Attacks Based on Physical Fingerprints
• Lilin Yang: Research on Theoretical Methods of Physical Layer Key Generation for Multiple Communication Scenarios
• Wenjie Wang: Research on Key Generation Technology of Multi-User Wireless Channels in OFDMA System

2023

• Zhichao Huang: Research on Device Fingerprint Extraction Method for Automotive Ethernet
• Shuying Feng: Wireless Channel Key Generation Method for High-Speed Mobile Scenarios
• Zongyue Hou: Research on physical layer key generation method for LTE
• Jitong Shi: Research on Radio Frequency Fingerprint Recognition method in small-sample scenarios
• Lei Hu: Reconfigurable Intelligent Surface-based Physical-layer Key Generation

2022

• Zhi Cao: Research on 5G-oriented physical layer key generation algorithm
• Haiyu Yang: Security Evaluation and Enhancement of Wireless Channel Secret Key
• Xinwei Zhang: Research on Deep Learning-Based Key Generation for FDD Systems

Invited Talks

• Apr. 2025: “Security Considerations on Wireless Physical Layer Key Generation: Challenges and Countermeasures”, Global 6G Conference 2025, Nanjing, China
• Nov. 2024: “Wireless Channel Key Generation Methods: Evolution and Transformation”, 2024 National Conference on Information Theory and the 31st Academic Conference of the Chinese Institute of Electronics (CIEIT 2024), Nanjing Suning Jinling Hilton Hotel, Nanjing, China
• Sep. 2022: “Exploring the Impact of Intelligent Reflecting Surfaces on Wireless Channel Key Generation Technology”, 5th Industry Salon on Cyberspace Endogenous Security - Trends in Intelligent Metasurface Technology and Its Enabling Role in Wireless Endogenous Security, Online Seminar