IoT Thrust Seminar | Semantic Communications for Multimodal Data

In the past decades, communications primarily focus on how to accurately and effectively transmit symbols from the transmitter to the receiver, in which bit-error rate or symbol-error rate is usually taken as the performance metrics. With the developments of cellular communication systems, the system capacity is gradually approaching to the Shannon limit. Inspired by the powerful deep learning technologies, semantic communications have been regarded as a promising solution to further improve the system efficiency. Semantic communications aim to realize the successful semantic information exchange rather than receive the transmitted bit sequences or symbols accurately. In this talk, the concept of semantic communications will be introduced first. Afterwards, the recent work on deep learning enabled semantic communications for multimodal data and multiple users will be presented. Potential research challenges will be discussed at the end of the talk.

讲者/ 表演者:
Dr. Zhijin Qin
Tsinghua University, Department of Electronic Engineering

Dr. Zhijin Qin is currently an Associate Professor at the Department of Electronic Engineering, Tsinghua University, Beijing, China. She was with Imperial College London, Lancaster University and Queen Mary University of London during 2016 and 2022. Her research interest is semantic communications and sparse signal processing. She served as the guest editor of IEEE JSAC special issues on semantic communications and is serving as an associate editor of IEEE Transactions on Communications. She also served as the co-chair of the 1st workshop on semantic communications at IEEE ICC 2022 and the symposium co-chair for various flagship conferences. She won the 2017 IEEE GLOBECOM Best Paper Award, 2018 IEEE Signal Processing Society Young Author Best Paper Award, 2021 IEEE Communications Society (ComSoc) Signal Processing for Communications Committee Early Achievement Award, and 2022 IEEE ComSoc Fred W. Ellersick Prize. 

Information Hub, HKUST(GZ) 代表 Internet of Things Thrust, HKUST(GZ)