28 citations · 134 across the 25 of their papers we have counts for
7 papers · 1 filter
Deep Joint Source-Channel Coding Based on Semantics of Pixels
Qizheng Sun, Caili Guo, Yang Yang +3
The semantic information of the image for intelligent tasks is hidden behind the pixels, and slight changes in the pixels will affect the performance of intelligent tasks. In order…
Adaptable Semantic Compression and Resource Allocation for Task-Oriented Communications
Chuanhong Liu, Caili Guo, Yang Yang +1
Task-oriented communication is a new paradigm that aims at providing efficient connectivity for accomplishing intelligent tasks rather than the reception of every transmitted bit.…
Positioning Using Visible Light Communications: A Perspective Arcs Approach
Zhiyu Zhu, Caili Guo, Rongzhen Bao +3
Visible light positioning (VLP) is an accurate indoor positioning technology that uses luminaires as transmitters. In particular, circular luminaires are a common source type for V…
Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission
Lunan Sun, Yang Yang, Mingzhe Chen +3
Joint source and channel coding (JSCC) for image transmission has attracted increasing attention due to its robustness and high efficiency. However, the existing deep JSCC research…
Semantic-assisted image compression
Qizheng Sun, Caili Guo, Yang Yang +2
Conventional image compression methods typically aim at pixel-level consistency while ignoring the performance of downstream AI tasks.To solve this problem, this paper proposes a S…
Bandwidth and Power Allocation for Task-Oriented SemanticCommunication
Chuanhong Liu, Caili Guo, Yang Yang +1
Deep learning enabled semantic communication has been studied to improve communication efficiency while guaranteeing intelligent task performance. Different from conventional commu…