W12: Generative AI and Large Model Empowered Next Generation Networks

Steering Committee Members:
Shuguang Cui, The Chinese University of Hong Kong (Shenzhen), China
Zhu Han, University of Houston, USA
Kai-Kit Wong, University College London, UK

Co-Organizers:
Sihua Wang, Beijing University of Posts and Telecommunications, China
Liang Li, Pengcheng Laboratory, China
Biqian Feng, University of Macau, Macao
Mingzhe Chen, University of Miami, USA

Abstract: This proposed half-day workshop will seek to bring together researchers and experts from academia, industry, and governmental agencies to discuss and promote the research and development needed to overcome the major challenges that pertain to this cutting-edge research topic. Suitable topics for this workshop include, but are not limited to, the following areas:
• Generative AI (GAI)/large models for vehicular networks
• GAI/large models for space-air-ground networks
• GAI/large models for semantic communication and pragmatic communication systems
• GAI/large model-driven resource allocation and spectrum management
• Traffic prediction and congestion control using GAI/large models
• Automated network configuration and optimization with GAI/large models
• Network security and privacy enhancements through GAI/large models
• Architectures and protocols for in-network GAI/large model training and inference
• Deploying GAI/large model in cloud-edge networks
• Experimental prototyping and testbeds for GAI/large model-assisted networks

Organizers and Steering Committee Bios:

Shuguang Cui

Shuguang Cui (Steering Committee) received the Ph.D. degree in electrical engineering from Stanford University, CA, USA, in 2005. Afterwards, he has been working as an Assistant Professor, an Associate Professor, a Full Professor, and a Chair Professor in electrical and computer engineering with the University of Arizona, Texas A&M University, UC Davis, and CUHK, Shenzhen, respectively. He worked as the Executive Dean of the School of Science and Engineering, CUHK, the Executive Vice Director of the Shenzhen Research Institute of Big Data, and the Director of the Future Network of Intelligence Institute (FNii). His current research interests include merging between AI and communication networks.

Zhu Han

Zhu Han (Steering Committee) received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. Currently, he is a John and Rebecca Moores Professor with the Department of Electrical and Computer Engineering and the Department of Computer Science, University of Houston, Texas. His main research interests include novel game-theory related concepts critical to enabling efficient and distributive use of wireless networks with limited resources. His other research interests include wireless resource allocation and management, wireless communications and networking, quantum computing data science, smart grid, carbon neutralization, and security and privacy.

Kai-Kit Wong

Kai-Kit Wong (Steering Committee), received the B.Eng., M.Phil., and Ph.D. degrees in electrical and electronic engineering from The Hong Kong University of Science and Technology, Hong Kong, in 1996, 1998, and 2001, respectively. After graduation, he took up academic and research positions at The University of Hong Kong, Lucent Technologies, Bell-Labs, Holmdel, the Smart Antennas Research Group of Stanford University, and the University of Hull, U.K. He is currently the Chair of wireless communications with the Department of Electronic and Electrical Engineering, University College London, U.K. His current research interests include 5G and beyond mobile communications, including topics such as massive MIMO, full-duplex communications, millimetre-wave communications, edge caching and fog networking, physical layer security, wireless power transfer and mobile computing, V2X communications, and of course cognitive radios. There are also a few other unconventional research topics that he has set his heart on, including fluid antenna communications systems and remote ECG detection. Dr. Wong is a fellow of IET. He was a co-recipient of the 2013 IEEE Signal Processing Letters Best Paper Award and the 2000 IEEE VTS Japan Chapter Award at the IEEE Vehicular Technology Conference in Japan in 2000 and a few other international best paper awards. He is an Area Editor of IEEE Transactions on Wireless Communications. He has been a Senior Editor for IEEE Wireless Communications Letters since 2016. Previously, he served as a Senior Editor for IEEE Communications Letters from 2012 to 2018, an Associate Editor for IEEE Signal Processing Letters from 2009 to 2012, and an Editor for IEEE Transactions on Wireless Communications from 2005 to 2011. He was a Guest Editor for IEEE Journal on Selected Areas in Communications SI on virtual MIMO in 2013 and on physical layer security for 5G in 2018. He has been the Editor-in-Chief of IEEE Wireless Communications Letters, since 2020.

Sihua Wang

Sihua Wang (Workshop Organizer) is currently an Assistant Professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing, China. He received the Ph.D. degree from the BUPT in 2021. From 2021 to 2024, he was a Post-Doctoral Researcher at School of Computer Science (National Pilot Software Engineering School), BUPT. From 2022 to 2024, he held a Hong Kong Scholar Fellow position with the Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong. His research interests include mobile edge computing, resource allocation, and machine learning in wireless networks.

Liang Li

Liang Li (Workshop Organizer) is currently an assistant researcher with the Frontier Research Center, Pengcheng Laboratory, Shenzhen, China. She received the Ph.D. degree in the School of Telecommunications Engineering at Xidian University, China, in 2021. From 2018 to 2020, she was a visiting Ph.D. student with the Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA. From 2021 to 2023, she was a postdoctoral faculty member with the School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications (BUPT), Beijing, China. Her research interests include edge intelligence, distributed learning, data-driven robust optimization, and differential privacy.

Biqian Feng

Biqian Feng (Workshop Organizer) received the B.S. degree in the school of electronic and information engineering from Soochow University, Suzhou, China, in Jun. 2017, and the Ph.D. degree in the department of electronic engineering, Shanghai Jiao Tong University, Shanghai, China, in Sep. 2023. He had been a visiting scholar in the department of electronic and computer engineering, Hong Kong University of Science and Technology, Hong Kong, and a visiting scientist in the department of communication system, Eurecom, France. He is currently a postdoctoral researcher at the state key laboratory of internet of things for smart city and the department of computer and information science, University of Macau, Macau. His research interests include optimization techniques and AI for wireless communications, reconfigurable intelligent surface, movable antenna, fluid antenna, semantic communication, vehicle-to-everything (V2X) communications, and edge intelligence.

Mingzhe Chen

Mingzhe Chen (Workshop Organizer) is currently an Assistant Professor with the Department of Electrical and Computer Engineering and the Knight Foundation Chair in Data Science and AI with the Frost Institute of Data Science and Computing, University of Miami. His research interests include federated learning, reinforcement learning, virtual reality, unmanned aerial vehicles, and the Internet of Things. He has received four IEEE Communication Society journal paper awards, including the IEEE Marconi Prize Paper Award in Wireless Communications in 2023, the Young Author Best Paper Award in 2021 and 2023, the Fred W. Ellersick Prize Award in 2022, and four conference best paper awards from ICCCN in 2023, IEEE WCNC in 2021, IEEE ICC in 2020, and IEEE GLOBECOM in 2020.