Chair
		Prof. Guan Gui Nanjing University of Posts and Telecommunications, China
		Co-Chairs
Prof. Yun Lin Harbin Engineering University, China		Prof. Qi Xuan Zhejiang University of Technology, China		Prof. Daying Quan China Jiliang University, China
Assoc. Prof. Qianyun Zhang Beihang University, China		Dr. Xixi Zhang Hohai University, China Invited Speaker

• Wireless systems are increasingly deployed in complex, dynamic, and interference-rich electromagnetic environments, where conventional model-driven sensing and recognition techniques face severe challenges in robustness, generalization, and scalability. Meanwhile, recent advances in foundation models and generative AI have opened new opportunities for learning universal representations, modeling signal distributions, and enabling multitask intelligence across heterogeneous wireless scenarios.
  
  This special session aims to explore intelligent wireless sensing and multitask signal recognition empowered by foundation models and generative AI, with particular emphasis on complex electromagnetic environments. The session will bring together researchers from academia and industry to present cutting-edge theories, algorithms, and applications that leverage large-scale pre-training, generative modeling, and cross-task learning to advance wireless sensing and recognition performance.
  
  Related Topics
  Automatic Modulation Classification (AMC) in complex electromagnetic environments
  Specific Emitter Identification (SEI) and RF fingerprinting for wireless devices and unmanned platforms
  Interference recognition and classification, including jamming, spoofing, and co-channel interference
  Wireless technology and protocol recognition (e.g., WiFi, LTE/5G/6G, UAV links, IoT standards)
  Multitask signal recognition frameworks for joint modulation, emitter, interference, and technology identification
  Foundation models and large-scale pre-trained models for wireless signal representation and multitask learning
  Generative AI for signal recognition, including diffusion models and GANs for data augmentation and distribution modeling
  Robust signal recognition under non-IID, low-SNR, and adversarial conditions
  UAV and unmanned system identification via RF fingerprinting and communication signal analysis
  Wireless sensing and recognition for UAV swarms and low-altitude platforms
  Indoor wireless sensing, including human activity and pose estimation using RF signals
  Cross-domain generalization, few-shot, and zero-shot signal recognition
  AI-enabled spectrum sensing and cognitive radio for signal identification
  Integrated sensing and communications (ISAC) for joint recognition and perception tasks

Submission Link: https://www.zmeeting.org/submission/ictc2026 (Choose Special Session 7 to Submit)

Special Session Organizers Biography:

Guan Gui (Fellow, IEEE) received his Ph.D. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2012. From 2009 to 2014, he was a research assistant and postdoctoral research fellow at Tohoku University, Japan. From 2014 to 2015, he was an Assistant Professor at Akita Prefectural University in Japan. Since 2015, he has been a Professor at Nanjing University of Posts and Telecommunications, China. His research focuses on intelligent sensing and recognition, intelligent signal processing, and physical layer security. Dr. Gui has authored over 200 IEEE journal and conference papers and received several best paper awards, including at ICC 2017, ICC 2014, and VTC 2014-Spring. He is a fellow of IEEE, IET, and AAIA, and he is recognized for his contributions to intelligent signal analysis and wireless resource optimization. Among his accolades, he received the IEEE Communications Society Heinrich Hertz Award in 2021 and was named a Clarivate Analytics Highly Cited Researcher from 2021 to 2024. Dr. Gui is a Distinguished Lecturer for the IEEE Vehicular Technology Society (VTS) and the IEEE Communications Society (ComSoc). He is an editorial board member for several leading journals, including the IEEE Transactions on Information Forensics and Security, IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology. Additionally, he serves as the Editor-in-Chief of KSII Transactions on Internet and Information Systems. He has also held prominent roles in international conferences, such as Executive Chair of IEEE ICCT 2023, Executive Chair of VTC 2021-Fall, and Vice Chair of WCNC 2021.

Yun Lin (Senior Member, IEEE) received the Ph.D. degree in communication and information systems from Harbin Engineering University, Harbin, China, in 2010.,He is currently a Full Professor with the College of Information and Communication Engineering, Harbin Engineering University. His current research interests include machine learning and data analytics over wireless networks, signal processing and analysis, cognitive radio and software defined radio, artificial intelligence, and pattern recognition.

Qi Xuan (Senior Member, IEEE) received the B.S. and Ph.D. degrees in control theory and engineering from Zhejiang University, Hangzhou, China, in 2003 and 2008, respectively.,He is currently a Professor with the Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou. His current research interests include network science, graph data mining, AI security, machine learning, and computer vision.

Daying Quan (Member, IEEE) received the B.S. degree in automatic control and the M.S. degree in information and communication engineering from Xi’dian University, Xi’an, China, in 2001 and 2004, respectively. He was with Hangzhou Silan Microelectronics Company, Ltd. from 2004 to 2008, Eastern Communications Company, Ltd., and worked on professional communication systems from 2009 to 2014. In 2014, he joined China Jiliang University. He is working on wireless signal processing and intelligent wireless sensing.

Qianyun Zhang (Senior Member, IEEE) (zhangqianyun@buaa.edu.cn) received the B.S. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2014, and the Ph.D. degree from the Queen Mary University of London, U.K., in 2018. She is currently an Associate Professor with the School of Cyber Science and Technology, Beihang University, Beijing. Her research interests include wireless network security, intelligent sensing and recognition, and novel antenna designs.

Xixi Zhang (Member, IEEE) received the Ph.D. degree in information and communication engineering from the Nanjing University of Posts and Telecommunications (NJUPT), Nanjing, China, in June 2025. She currently works at Hohai University, China. Her research interests include deep learning, neural architecture search, and its applications in signal recognition, cyber security, and Internet of Things.