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20212023
most citedConstellation Design for Deep Joint Source-Channel Coding

28 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2023★ 3 cited

Spiking Semantic Communication for Feature Transmission with HARQ

Mengyang Wang, Jiahui Li, Mengyao Ma +1

In Collaborative Intelligence (CI), the Artificial Intelligence (AI) model is divided between the edge and the cloud, with intermediate features being sent from the edge to the clo…

eess.SP2022★ 1 cited

SNN-SC: A Spiking Semantic Communication Framework for Collaborative Intelligence

Mengyang Wang, Jiahui Li, Mengyao Ma +1

Collaborative Intelligence (CI) has emerged as a promising framework for deploying Artificial Intelligence (AI) models on resource-constrained edge devices. In CI, the AI model is…

cs.IT2022★ 28 cited

Constellation Design for Deep Joint Source-Channel Coding

Mengyang Wang, Jiahui Li, Mengyao Ma +1

Deep learning-based joint source-channel coding (JSCC) has shown excellent performance in image and feature transmission. However, the output values of the JSCC encoder are continu…

cs.CV2021★ 1 cited

Deep Joint Source-Channel Coding for Multi-Task Network

Mengyang Wang, Zhicong Zhang, Jiahui Li +2

Multi-task learning (MTL) is an efficient way to improve the performance of related tasks by sharing knowledge. However, most existing MTL networks run on a single end and are not…

eess.SP2021

SNR-adaptive deep joint source-channel coding for wireless image transmission

Mingze Ding, Jiahui Li, Mengyao Ma +1

Considering the problem of joint source-channel coding (JSCC) for multi-user transmission of images over noisy channels, an autoencoder-based novel deep joint source-channel coding…