Chair
Prof.  Kun Guo East China Normal University, China

		Co-Chairs
Dr. Chenyuan Feng University of Exeter, U.K.		Assoc. Prof. Wenchao Xia Nanjing University of Posts and Telecommunications, China		Assoc. Prof. Chenxi Liu Beijing University of Posts and Telecommunications, China		Asst. Prof. Howard H. Yang Zhejiang University, China

The rapid proliferation of mobile devices has triggered an explosive growth of data at the wireless edge, accelerating the evolution of edge computing to support high-accuracy, low-latency intelligent services. However, data and computational capabilities at the wireless edge are inherently heterogeneous, dynamic, and highly dispersed. This raises fundamental challenges: how can we effectively exploit unreliable, time-varying, and resource-constrained wireless networks to coordinate distributed data and computation, and ultimately enhance the quality of intelligent service delivery?

This special session aims to bring together researchers and practitioners to explore cutting-edge architectures, algorithms, theories, and experimental platforms for edge intelligence in next-generation wireless networks. Topics of interest include, but are not limited to:
1. Learning and inference architecture design
2. Distributed learning paradigms, including federated, split, and their enhanced variants
3. End-edge-cloud collaborative computing and inference
4. Agent-based edge intelligence, including multi-agent collaboration, agentic workflow orchestration, and so on
5. Orchestration of heterogeneous resources (communication, computing, storage, memory)
6. Intelligent service deployment, scheduling, migration, and resilience mechanisms
7. Theoretical foundations, including optimization theory, learning convergence, and related analyses
8. Edge-intelligent platforms, testbed, and demonstrations

Submission Link: https://www.zmeeting.org/submission/ictc2026 (Choose Special Session 2 to Submit)

Special Session Organizers Biography:

Kun Guo received the B.E. degree in Telecommunications Engineering from Xidian University, Xi'an, China, in 2012, where she received the Ph.D. degree in communication and information systems in 2019. From 2019 to 2021, she was a Post-Doctoral Research Fellow with the Singapore University of Technology and Design (SUTD), Singapore. Currently, she is a Research Professor with the School of Communications and Electronics Engineering at East China Normal University, Shanghai, China. Her research interests focus on wireless edge computing and intelligence. She received the Best Paper Award from IEEE/CIC ICCC 2025 and was recognized as an Exemplary Reviewer for IEEE Wireless Communications Letters for two consecutive years.

Chenyuan Feng received the B.E. degree in electrical and electronics engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2016, and the Ph.D. degree in information system technology and design from Singapore University of Technology and Design (SUTD), Singapore, in 2021, respectively. Currently she is a research fellow at Department of Computer Science, University of Exeter, U.K.. Her research interests include edge intelligence, multimedia intelligence, as well as AI for network and communication. Dr. Feng is a receipt of 2021 IEEE ComComAp Best Paper Award, 2024 IEEE ICCT Best Paper Award, and 2025 IEEE ICCCS 10th Anniversary Best Paper Award. Dr. Feng was invited to deliver several tutorials and invited talk at International conferences in the area of machine learning for communication, such as IEEE PIMRC’24, IEEE VCC’24, IEEE ICCT’22, ICCT’24 and IEEE VTC-Sping’25. Dr. Feng serves as an Associate Editor for the IEEE Internet of Things Journal and the IEEE Open Journal of the Communications Society. Dr. Feng is a Marie Skłodowska-Curie Scholar and 6G Rising Star Young Scientist.

Wenchao Xia received his B.S. degree in communication engineering and Ph.D. degree in communication and information systems from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2014 and 2019, respectively. From 2019 to 2020, he was a Postdoctoral Research Fellow with Singapore University of Technology and Design, Singapore. He is currently with the faculty of the Jiangsu Key Laboratory of Wireless Communications, College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications. His research interests include edge intelligence and mobile IoT.
He was a recipient of the IEEE Globecom Best Paper Award in 2016 and the IEEE JC&S Best Paper Award in 2022. He serves as an Associate Editor for the IEEE Wireless Communications Letters and IET Electronics Letters.

Chenxi Liu received his B.E. degree from Central South University, Changsha, China, in 2010, and Ph.D. degree from The University of New South Wales, Sydney, Australia, in 2016. From 2017 to 2019, he was a Postdoctoral research fellow in Singapore University of Technology and Design. Since 2019, he has been with the Beijing University of Posts and Telecommunications, where he is currently an Associate Professor. His research interests include unmanned aerial vehicle-enabled wireless networks and network intelligence. He received the Best Paper Awards from the IEEE ICC 2022, the WCSP 2023 and the IEEE/CIC ICCC 2024. He is currently serving as an Editor for the IEEE Wireless Communications Letters and Journal of Information and Intelligence.

Howard H. Yang received the B.E. degree in Communication Engineering from Harbin Institute of Technology (HIT), China, in 2012, and the M.Sc. degree in Electronic Engineering from Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2013. He earned the Ph.D. degree in Electrical Engineering from Singapore University of Technology and Design (SUTD), Singapore, in 2017. He was a Postdoctoral Research Fellow at SUTD from 2017 to 2020, a Visiting Postdoc Researcher at Princeton University from 2018 to 2019, and a Visiting Student at the University of Texas at Austin from 2015 to 2016. Currently, he is an assistant professor with the Zhejiang University/University of Illinois Urbana-Champaign Institute (ZJU-UIUC Institute), Zhejiang University, Haining, China. He is also an adjunct assistant professor with the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, IL, USA.
Dr. Yang’s research interests cover various aspects of wireless communications, networking, and signal processing, currently focusing on the modeling of modern wireless networks, high dimensional statistics, graph signal processing, and machine learning. He serves as an Associate Editor for the IEEE Transactions on Wireless Communications and an Editor-at-Large for the IEEE Open Journal of The Communications Society. He received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2023, the IEEE Signal Processing Society Best Paper Award in 2022, the IEEE WCSP 10-Year Anniversary Excellent Paper Award in 2019, and the IEEE WCSP Best Paper Award in 2014.