4 citations · 10 across the 11 of their papers we have counts for
5 papers · 1 filter
Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation
Kuiyuan Ding, Caili Guo, Yang Yang +2
Large-scale models (LSMs) can be an effective framework for semantic representation and understanding, thereby providing a suitable tool for designing semantic communication (SC) s…
RIDAS: A Multi-Agent Framework for AI-RAN with Representation- and Intention-Driven Agents
Kuiyuan Ding, Caili Guo, Yang Yang +1
Sixth generation (6G) networks demand tight integration of artificial intelligence (AI) into radio access networks (RANs) to meet stringent quality of service (QoS) and resource ef…
Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models
Chuanhong Liu, Caili Guo, Yang Yang +2
Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial…
A New Paradigm of User-Centric Wireless Communication Driven by Large Language Models
Kuiyuan Ding, Caili Guo, Yang Yang +2
The next generation of wireless communications seeks to deeply integrate artificial intelligence (AI) with user-centric communication networks, with the goal of developing AI-nativ…
A flexible Bayesian framework for detecting cross-sample spatial expression variability in heterogeneous tissues
Meng Zhou, Shuangge Ma, Mengyun Wu
Spatial transcriptomics measures gene expression alongside the spatial coordinates of each capture spot or cell across tissue samples. The detection of spatially variable (SV) gene…