no code implementations • 20 Feb 2024 • Huiqiang Xie, Zhijin Qin, Xiaoming Tao, Zhu Han
First, we propose a new semantic communication architecture that seamlessly integrates large models into semantic communication through the introduction of a memory module.
no code implementations • 22 Mar 2023 • Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
While semantic communication succeeds in efficiently transmitting due to the strong capability to extract the essential semantic information, it is still far from the intelligent or human-like communications.
no code implementations • 23 Sep 2022 • Qifan Fu, Huiqiang Xie, Zhijin Qin, Gregory Slabaugh, Xiaoming Tao
Although analog semantic communication systems have received considerable attention in the literature, there is less work on digital semantic communication systems.
no code implementations • 19 Dec 2021 • Huiqiang Xie, Zhijin Qin, Xiaoming Tao, Khaled B. Letaief
For the single-modal multi-user system, we will propose two Transformer based models, named, DeepSC-IR and DeepSC-MT, to perform image retrieval and machine translation, respectively.
no code implementations • 16 Aug 2021 • Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
In this letter, we consider a task-oriented multi-user semantic communication system for multimodal data transmission.
no code implementations • 21 Jul 2020 • Huiqiang Xie, Zhijin Qin
To make it affordable for IoT devices, we propose a lite distributed semantic communication system based on DL, named L-DeepSC, for text transmission with low complexity, where the data transmission from the IoT devices to the cloud/edge works at the semantic level to improve transmission efficiency.
no code implementations • 18 Jun 2020 • Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li, Biing-Hwang Juang
To justify the performance of semantic communications accurately, we also initialize a new metric, named sentence similarity.