2026.04.23 Colloquia Seminars
| Speaker |
Prof. Geoffrey Li, Imperial College London, UK |
| Title |
10 Years of Deep Learning for Wireless Communications |
| Time |
2026.04.27 15:30-17:00 |
| Venue |
N205 |
| Abstract |
Since our initial work applied deep learning (DL) for joint channel estimation and signal detection in OFDM communications around 10 years ago, tremendous research has been performed in the related area. This talk provides a brief overview on DL for wireless communications in the past 10 years, including DL for physical layer processing, DL for resource allocation, semantic communications, federated learning, and few-shot learning for wireless communications. At the end, we also discuss issues on standardization of DL-enabled wireless communications. |
| Biography |
Geoffrey Ye Li (FREng, IEEE Fellow) is currently a Chair Professor at Imperial College London, UK. Before joining Imperial in 2020, he was with Georgia Tech and AT&T Labs – Research (previous AT&T Bell Labs) in USA for 25 years in total. He made fundamental contributions to orthogonal frequency division multiplexing (OFDM) for wireless communications, established a framework on resource cooperation in wireless networks, and introduced deep learning to communications. In these areas, he has published over 700 journal and conference papers in addition to over 40 granted patents. His publications have been cited over 85,000 times with an H-index of 130. He has been listed as a Highly Cited Researcher by Clarivate/Web of Science almost every year. He won 2024 IEEE Eric E. Sumner Award and several awards from IEEE Signal Processing, Vehicular Technology, and Communications Societies, including 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award. | |
