10 papers
GenED-SC: Generative Editing Semantic Communication with Integrated Multi-Modal LLMs
Shuoyao Wang, Weisheng Xie, Mingze Gong +4
Deep learning-based joint source-channel coding has recently demonstrated strong potential for semantic communication (SemComm). However, most existing approaches focus on optimizi…
Toward Reliable Semantic Communication: Beyond Average Performance
Boyuan Li, Mingze Gong, Shuoyao Wang +3
Semantic communication has emerged as a promising paradigm for improving transmission efficiency by conveying task-relevant semantics rather than raw data. Although recent studies…
Training-Free Rate-Distortion-Perception Traversal With Diffusion
Yuhan Wang, Suzhi Bi, Ying-Jun Angela Zhang
The rate-distortion-perception (RDP) tradeoff characterizes the fundamental limits of lossy compression by jointly considering bitrate, reconstruction fidelity, and perceptual qual…
Reliable Online Resource Allocation for Multi-User Semantic Communications: A Constraint Bayesian Optimization Approach
Huawei Hou, Suzhi Bi, Xian Li +2
Semantic communication has been increasingly integrated into edge computing systems for reconstruction tasks, owing to its advantages in source compression, robustness to channel n…
Joint Source-Channel-Check Coding with HARQ for Reliable Semantic Communications
Boyuan Li, Shuoyao Wang, Suzhi Bi +2
Semantic communication has emerged as a promising paradigm for improving transmission efficiency and task-level reliability, yet most existing reliability-enhancement approaches re…
Task-Oriented Computation Offloading for Edge Inference: An Integrated Bayesian Optimization and Deep Reinforcement Learning Framework
Xian Li, Suzhi Bi, Ying-Jun Angela Zhang
Edge intelligence (EI) allows resource-constrained edge devices (EDs) to offload computation-intensive AI tasks (e.g., visual object detection) to edge servers (ESs) for fast execu…