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IDS Distinguished Speaker Series #8:

Generative AI for Future Wireless Communications

Host:

Co-host:

Speaker

Professor Zhi DING

Distinguished Professor of Electrical and Computer Engineering, University of California Davis

Fellow of the IEEE

Date

Jun 06, 2025 (Fri)

Time

11:00am – 12:00pm

Venue

Tam Wing Fan Inno Wing II  |   Zoom 

Mode

Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.

Abstract

The recent wave of progress in generative artificial intelligence (AI) has stimulated numerous novel concepts and achieved phenomenal success in modern applications, including ChatGPT. Beyond its critical role in content generation for computer vision and natural language processing, generative AI presents profound opportunities and unlimited potential in wireless communications and networking. In this talk, we systematically address the tremendous potential and opportunities presented by the emergence and integration of generative AI in high-efficiency and contextual communication networks. We present a transformative design of a future go-oriented contextual communication framework enabled by generative models of stable diffusion. Specifically, we deliver clear design and implementation steps, analyze properties and performances, and expand on potential future extensions.

Speaker

Professor Zhi DING

Distinguished Professor of Electrical and Computer Engineering, University of California Davis
Fellow of the IEEE

Professor Zhi Ding holds the position of distinguished professor in Department of Electrical and Computer Engineering at the University of California, Davis. He received his Ph.D. degree in Electrical Engineering from Cornell University in 1990. From 1990 to 2000, he was a faculty member of Auburn University and later, University of Iowa. Prof. Ding joined the College of Engineering at UC Davis in 2000. His major research interests and expertise cover the areas of wireless networking, communications, signal processing, multimedia, and learning. He was also an IEEE Distinguished Lecturer (Circuits and Systems Society, 2004-06, Communications Society, 2008-09). He served on as IEEE Transactions on Wireless Communications Steering Committee Member (2007-2009) and its Chair (2009-2010). Dr. Ding is a coauthor of the textbook: Modern Digital and Analog Communication Systems, 5th edition, Oxford University Press, 2019. Prof. Ding received the IEEE Communication Society’s WTC Award in 2012 and the IEEE Communication Society’s Education Award in 2020. 

For full biography of Prof DING, please refer to: https://faculty.engineering.ucdavis.edu/ding/

Moderator

Prof Ping LUO

Associate Director (Innovation and Outreach), HKU Musketeers Foundation Institute of Data Science

Professor Ping Luo’s researches aim at 1) developing Differentiable/ Meta/ Reinforcement Learning algorithms that endow machines and devices to solve complex tasks with larger autonomy, 2) understanding foundations of deep learning algorithms, and 3) enabling applications in Computer Vision and Artificial Intelligence. Professor Ping Luo received his PhD degree in 2014 in Information Engineering, the Chinese University of Hong Kong (CUHK), supervised by Prof. Xiaoou Tang (founder of SenseTime Group Ltd.) and Prof. Xiaogang Wang.

For full biography of Professor LUO, please refer to: https://datascience.hku.hk/people/ping-luo/

For information, please contact:
Email: datascience@hku.hk