Seminar: Fast Adaptation for Deep Learning based Wireless Communications
Special Talk: Fast Adaptation for Deep Learning based Wireless Communications
Speaker: Professor Geoffrey Li, Chair in Wireless Systems, Imperial College London
Abstract: The integration of wireless communications with artificial intelligence (AI), especially deep learning (DL), is recognized as one of the six usage scenarios in next-generation cellular systems. In this talk, we first provide a brief overview on DL for wireless communications in the past around 10 years and present several critical challenges hinder the widespread applications of DL techniques in wireless communications. Since the existing DL-based wireless communications struggle to address the dynamic environments, we then discuss fast adaptation for DL-based wireless communications by using the few-shot learning (FSL) techniques. After identifying the difference between fast adaptation in wireless communications and traditional AI tasks, we outline two design requirements for applying FSL techniques to wireless communications and provide a comprehensive discussion on FSL techniques in wireless communications that satisfy these two design requirements. In particular, we emphasize the crucial role of domain knowledge in achieving fast adaptation. At the end of this talk, we highlight several open issues for future research.
Biography: Geoffrey Ye Li, FREng (Fellow of Royal Academy of Engineering) and Fellow of IEEE, is a Chair Professor at Imperial College London, UK. Before joining Imperial in 2020, he was a Professor at Georgia Institute of Technology, USA, for 20 years and a Principal Technical Staff Member with AT&T Labs – Research (previous Bell Labs), USA, for five years. He is the first to introduce deep learning to communications in 2016, which has become a popular research area now. He made fundamental contributions to orthogonal frequency division multiplexing (OFDM) for wireless communications, which made him win 2024 IEEE Eric E. Sumner Technical-Field Award. He also won several awards from IEEE Signal Processing, Vehicular Technology, and Communications Societies, including 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award.
Date and Time
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Registration
- Date: 21 Mar 2025
- Time: 11:00 AM UTC to 11:59 AM UTC
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- Oxford Road
- Manchester, England
- United Kingdom M13 9PL
- Building: Nancy Rothwell
- Room Number: Room A_2A.014
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- Co-sponsored by CH08031
- Starts 05 March 2025 12:00 AM UTC
- Ends 21 March 2025 12:00 AM UTC
- No Admission Charge
Speakers
Geoffrey Li
Speaker: Professor Geoffrey Li, Chair in Wireless Systems, Imperial College London
Biography:
Biography: Geoffrey Ye Li, FREng (Fellow of Royal Academic of Engineering) and Fellow of IEEE, is a Chair Professor at Imperial College London, UK. Before joining Imperial in 2020, he was a Professor at Georgia Institute of Technology, USA, for 20 years and a Principal Technical Staff Member with AT&T Labs – Research (previous Bell Labs), USA, for five years. He is the first to introduce deep learning to communications in 2016, which has become a popular research area now. He made fundamental contributions to orthogonal frequency division multiplexing (OFDM) for wireless communications, which made him win 2024 IEEE Eric E. Sumner Technical-Field Award. He also won several awards from IEEE Signal Processing, Vehicular Technology, and Communications Societies, including 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award.