Prof. Yang Yang, (IEEE Fellow), the Shanghai Center, Hong Kong University of Science and Technology, China

Professor Yang Yang is currently the Director of Shanghai Center, The Hong Kong University of Science and Technology (HKUST), China. He is also an adjunct professor with the Department of Broadband Communication at Peng Cheng Laboratory, and the Chief Scientist of IoT at Terminus Group, China. Yang's research interests include multi-tier computing networks, 5G/6G systems, AIoT technologies and applications, and advanced wireless testbeds. He has published more than 380 papers and filed more than 120 technical patents in these research areas. He is a fellow of the IEEE.

Speech Title: NASCA: Network Agentic Service Customization Architecture

Abstract: In wireless networks, the inherent conflict between limited computational resources and high-intensity computing workloads makes it extremely challenging to deploy complex tasks based on large AI models in edge devices. Traditional methods rely on aggregating data and transmitting it to cloud platforms for centralized processing; however, this approach is unsustainable as it strains long-distance backhaul transmission and energy-intensive data centers, while also failing to guarantee data security and personal privacy. To address these challenges, we propose the Network Agentic Service Customization Architecture (NASCA) for supporting personalized services. By leveraging the collaborative functions among distributed edge devices, we achieve fast, low-cost, and sustainable edge computing for large AI models. We analyze the engineering issues involved in the coordinated scheduling of multi-element resources—such as communication, sensing, computing, and storage—among edge devices, and verify the feasibility and service efficiency of different parallel processing schemes for large AI models.

Prof. Xiaojun Yuan, (IEEE Fellow), University of Electronic Science and Technology of China, China

Prof. Xiaojun Yuan is a Professor at the National Key Laboratory of Wireless Communications at the University of Electronic Science and Technology of China, Chengdu, China. He earned an MSc from Fudan University (Shanghai, China) in 2003 and a PhD from the City University of Hong Kong in 2008. His research interests cover a broad range of signal processing, machine learning, and wireless communications, including but not limited to multi-antenna and cooperative communications, sparse and structured signal recovery, Bayesian approximate inference, network coding, etc. He has published over 130 peer-reviewed research papers in the leading international journals and conferences in the related areas. He has served on a number of technical programs for international conferences. He is an editor of the IEEE Transactions on Communications since 2017, and also an editor of the IEEE Transactions on Wireless Communications since 2018. He was a co-recipient of the Best Paper Award of IEEE International Conference on Communications (ICC) 2014, and also a co-recipient of the Best Journal Paper Award of IEEE Technical Committee on Green Communications and Computing (TCGCC) 2017.

Prof. Liang Liu (IEEE Fellow), the Hong Kong Polytechnic University, China

Prof. Liang Liu is an Associate Professor at the Department of Electrical and Electronic Engineering of the Hong Kong Polytechnic University. His research interests include wireless communications and networking, advanced signal processing and optimization techniques, and Internet-of-Things (IoT). He is an IEEE ComSoc Distinguished Lecturer for the class of 2025-2026. He is the recipient of the 2021 IEEE Signal Processing Society Best Paper Award and the 2017 IEEE Signal Processing Society Young Author Best Paper Award. He is an Editor for IEEE Transactions on Wireless Communications and an Associate Editor for IEEE Transactions on Signal Processing. He is a Fellow of IEEE and Young Member of The Hong Kong Academy of Engineering.

---