12 papers
GenED-SC: Generative Editing Semantic Communication with Integrated Multi-Modal LLMs
Shuoyao Wang, Suzhi Bi, Mingze Gong +3
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…
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…
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…
Joint Sensing, Communication, and Computation for Vertical Federated Edge Learning in Edge Perception Network
Xiaowen Cao, Dingzhu Wen, Suzhi Bi +4
Combining wireless sensing and edge intelligence, edge perception networks enable intelligent data collection and processing at the network edge. However, traditional sample partit…
Robust MIMO Semantic Communication with Imperfect CSI via Knowledge Distillation
Mingze Gong, Shuoyao Wang, Shijian Gao +2
Semantic communication (SemComm) has emerged as a new communication paradigm. To enhance efficiency, multiple-input-multiple-output (MIMO) technology has been further integrated in…
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…
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption
Weiqiang Jiao, Suzhi Bi, Xian Li +3
This paper investigates deploying semantic edge inference systems for performing a common image clarification task. In particular, each system consists of multiple Internet of Thin…
Scalable Multi-task Edge Sensing via Task-oriented Joint Information Gathering and Broadcast
Huawei Hou, Suzhi Bi, Xian Li +3
The recent advance of edge computing technology enables significant sensing performance improvement of Internet of Things (IoT) networks. In particular, an edge server (ES) is resp…
Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack
Mingze Gong, Shuoyao Wang, Suzhi Bi +2
Semantic communication (SemComm) has emerged as new paradigm shifts.Most existing SemComm systems transmit continuously distributed signals in analog fashion.However, the analog pa…
Compression before Fusion: Broadcast Semantic Communication System for Heterogeneous Tasks
Mingze Gong, Shuoyao Wang, Fangwei Ye +1
Semantic communication has emerged as new paradigm shifts in 6G from the conventional syntax-oriented communications. Recently, the wireless broadcast technology has been introduce…