NOVEMBER 27–29, 2026 · CHENGDU, CHINA
Low-Altitude Wireless Network (LAWN) Workshop on Connectivity, Sensing, Intelligence, and Security
Against the backdrop of the fast-growing low-altitude economy and autonomous aerial systems, this workshop brings together researchers, industry practitioners, and standardization experts across wireless communications, robotics, and cybersecurity. It focuses on reliable air-ground connectivity, integrated communication and sensing, AI-enabled aerial intelligence, and resilient low-altitude networks.
伴随低空经济与自主飞行器技术快速发展，本次研讨会汇聚无线通信、机器人、网络安全领域的学界专家与行业从业者，围绕空地一体化可靠连接、通感一体融合感知、AI赋能低空智能、高韧性网络安全四大核心方向，分享前沿技术进展、探讨领域核心挑战，推动跨学科协同创新与技术落地。
Co-located with WECE 2026 — 5th Workshop on Electronics Communication Engineering
Workshop Chairs
Workshop Chair(s): Weijie Yuan and Lin Zhou, Southern University of Science and Technology, China
Workshop Co-chair: Lin Zhou, Southern University of Science and Technology, China
Invited Talks
Cooperative Beamforming for Secure and Covert Communications in Low-Altitude Wireless Networks
Xin Xie
Associate Professor, School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, China. He received his B.E. and Ph.D. degrees from Beihang University in 2018 and 2025. His research covers mobile ad hoc networks, cooperative air-ground communications, integrated sensing and communication, and secure and covert communications.
Random Matrix-Theoretic Approaches to Secure Low-Altitude Wireless Communications
Xin Zhang
Associate Professor, School of Cyber Science and Technology, Beihang University, China. He received his Ph.D. from the Hong Kong University of Science and Technology in 2024. His research interests include random matrix theory, information theory, physical-layer security, and applications in UAV networks.
LLM-Empowered Low-Altitude Integrated Sensing and Communications: From General-Purpose Models to Beamforming Experts
Jingjing Wang
Professor, School of Cyber Science and Technology, Beihang University, China. His research focuses on wireless communications and security, intelligent low-altitude networks, and AI-enabled integrated sensing and communications. He is an editor for several IEEE journals and has received Best Paper Awards at IEEE ICC, IEEE WCSP, and IEEE IWCMC.
Intelligent Low-Altitude Wireless Networks: From Connectivity to Autonomous UAV Swarms
Jinpeng Xu
Postdoctoral Fellow at the Hong Kong University of Science and Technology. He received his Ph.D. from Beihang University. His research interests include intelligent low-altitude wireless networks, autonomous UAV swarms, AI-driven networking, collaborative computing and control, and secure wireless communications.
Information-Theoretic Perspectives on Low-Altitude Integrated Sensing and Communications
Lei Yu
Associate Professor and Ph.D. Supervisor, School of Statistics and Data Science, Nankai University, China. He received his Ph.D. in Electronic and Information Engineering from the University of Science and Technology of China in 2015 and held postdoctoral positions at USTC, the National University of Singapore, and the University of California, Berkeley. His research combines information theory, probability theory, and combinatorics.
Secure Integrated Sensing and Communications for Low-Altitude Wireless Networks
Nanchi Su
Associate Professor at Harbin Institute of Technology (Shenzhen), China. She received her Ph.D. from University College London in 2023. Her research connects integrated sensing and communications, physical-layer security, and radar signal processing, including the use of sensing to improve secure wireless transmission.
Generative AI for Wireless Sensing in Low-Altitude Networks
Jiacheng Wang
Postdoctoral Research Fellow, College of Computing and Data Science, Nanyang Technological University, Singapore. He received his Ph.D. from Chongqing University of Posts and Telecommunications in 2022. His research spans wireless sensing, integrated sensing and communications, generative AI, and semantic communications.
Integrated Sensing, Communication, and Control for Cooperative UAV Networks
Jun Wu
Research Associate at Memorial University of Newfoundland, Canada. His research covers low-altitude wireless networks, integrated sensing and communications, and UAV-enabled systems. He studies joint sensing, communication, and control, including cooperative sensing, UAV formation design, predictive control, and software-defined radio experiments.
Generative AI for Spectrum Mapping and Resilient Low-Altitude Networking
Changyuan Zhao
Researcher with the College of Computing and Data Science at Nanyang Technological University, Singapore. His research focuses on generative AI, large language models, and intelligent wireless networking, especially spectrum mapping, secure communications, and low-altitude networks. His recent work explores generative models and multi-agent learning for robust aerial networking.
Delay–Doppler Waveforms for Reliable Low-Altitude Communications and Sensing
Shuangyang Li
Senior Lecturer at Queen’s University Belfast, United Kingdom. He holds Ph.D. degrees from Xidian University and the University of New South Wales. His research covers delay–Doppler communications, OTFS modulation, waveform design, channel coding, and applied information theory. He received an ERC Starting Grant in 2025 and serves as an editor of IEEE Transactions on Communications.
Integrated Sensing and Communications for Low-Altitude Networks: Fundamental Limits and Design Principles
Fan Liu
Professor with the National Mobile Communications Research Laboratory, Southeast University, China. His research addresses integrated sensing and communications, low-altitude wireless networks, and radar signal processing. His awards include the 2024 IEEE Signal Processing Society Best Paper Award and the 2025 IEEE Communications Society and Information Theory Society Joint Paper Award.
Near-Field MIMO for Low-Altitude Connectivity and Sensing
Kangda Zhi
Professor at Harbin Institute of Technology, China. His research focuses on near-field communications, next-generation MIMO, reconfigurable intelligent surfaces, and sensing and estimation. He is an editor for IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.
Wireless Localization and Sensing for Low-Altitude Applications
Kaikai Liu
Professor-level Senior Engineer and doctoral supervisor at Chongqing University of Posts and Telecommunications, China. His work combines wireless sensing and localization with mobile-network planning and optimization. He leads projects on cooperative infrastructure sensing, landslide early warning, 5G localization, and AI-assisted UAV inspection.