5 citations · 5 across the 4 of their papers we have counts for
4 papers
Compression Beyond Pixels: Semantic Compression with Multimodal Foundation Models
Ruiqi Shen, Haotian Wu, Wenjing Zhang +2
Recent deep learning-based methods for lossy image compression achieve competitive rate-distortion performance through extensive end-to-end training and advanced architectures. How…
Zero-Shot Semantic Communication with Multimodal Foundation Models
Jiangjing Hu, Haotian Wu, Wenjing Zhang +4
Most existing semantic communication (SemCom) systems use deep joint source-channel coding (DeepJSCC) to encode task-specific semantics in a goal-oriented manner. However, their re…
SemHARQ: Semantic-Aware Hybrid Automatic Repeat Request for Multi-Task Semantic Communications
Jiangjing Hu, Fengyu Wang, Wenjun Xu +2
Intelligent task-oriented semantic communications~(SemComs) have witnessed great progress with the development of deep learning~(DL), where multi-task SemComs that perform multiple…
Scalable Multi-task Semantic Communication System with Feature Importance Ranking
Jiangjing Hu, Fengyu Wang, Wenjun Xu +2
Semantic communications are expected to be an innovative solution to the emerging intelligent applications in the era of connected intelligence. In this paper, a novel scalable mul…