01

实验室简介

人工智能与数字经济广东省实验室（深圳）（以下简称光明实验室）为省政府批准筹建的第三批广东省实验室之一，经市政府批准已设立为事业单位。实验室面向人工智能与数字经济的重大战略需求，由广东省政府统筹规划及顶层设计，深圳市政府主导建设、运营与管理，深圳大学作为牵头建设单位。实验室致力于打造人工智能与数字经济全链条创新平台、数字经济区域开放产学研合作平台、创新人才聚集和培养的基地以及核心技术成果转化和孵化平台。在此建设目标下，实验室遵循“创新、责任、进取、合作”的核心价值观，主要围绕区块链与金融科技、智能传感与精准医疗、机器学习与智能系统、泛在感知与智慧城市四个方向展开研究。

02

讲座内容简介

To transmit text messages, speeches, or pictures, we usually convert them into a symbol sequence and transmit the symbols in a conventional communication system, which is designed based on the block structure with coding, decoding, modulation, demodulation, etc. It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the block-based communication system. In this talk, we first provide our recent endeavors in developing end-to-end (E2E) communications, which combine all blocks at the transmitter by a neural network and those at the receiver by another neural network. Even if deep learning based E2E communication systems have a potential to outperform the conventional block-based communication systems in terms of performance and complexity, their spectrum efficiency is still limited by Shannon capacity since they essentially transmit bits or symbols. Semantic communication systems transmit and recover the desired meaning of the transmitted content (for example, a text message or a picture) directly and can significantly improve transmission efficiency. We will present our initial results on semantic communications.

03

汇报人简介

Geoffrey Ye Li has been a Chair Professor at Imperial College London since 2020.  Before moving to Imperial, he was with Georgia Institute of Technology as a Professor for 20 years and with AT&T Labs - Research in New Jersey, USA, as a Principal Technical Staff Member for five years. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published over 600 referred journal and conference papers in addition to over 40 granted patents. His publications have been cited over 50,000 times with H-index of over 100 and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006 and an IET Fellow since 2021. He received several prestigious awards from IEEE ComSoc, IEEE VTS, and IEEE SPS, including 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award.

04

讲座信息

讲座时间：2022年6月28日 上午10:00

讲座地点：深圳市光明区科润大厦B座10层会议室

线上参与：#腾讯会议：587-864-173