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20232026
most citedData Augmentation for Text-based Person Retrieval Using Large Language Models

4 citations · 10 across the 11 of their papers we have counts for

collaborators

13 papers

cs.LG2026

Semantic-Aware Joint Source-Channel Optimization for Encoder-Agnostic Digital Video Communication

Xiangben Zhu, Caili Guo, Yang Yang +2

Video semantic communication has attracted increasing attention as a promising approach to improving video transmission efficiency. However, most existing approaches rely on comput…

eess.SP2026

Semantic Communication with an LLM-enabled Knowledge Base

Wuxia Hu, Caili Guo, Yang Yang +3

Semantic communication (SC) can achieve superior coding and transmission performance based on the knowledge contained in the semantic knowledge base (KB). However, conventional KBs…

cs.LG2025

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…

cs.NI2025

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…

cs.LG2025

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…

cs.NI2025

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…

stat.AP2025

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…

cs.CV2024★ 4 cited

Data Augmentation for Text-based Person Retrieval Using Large Language Models

Zheng Li, Lijia Si, Caili Guo +2

Text-based Person Retrieval (TPR) aims to retrieve person images that match the description given a text query. The performance improvement of the TPR model relies on high-quality…

eess.SP2024

OFDM-Based Digital Semantic Communication with Importance Awareness

Chuanhong Liu, Caili Guo, Yang Yang +2

Semantic communication (SemCom) has received considerable attention for its ability to reduce data transmission size while maintaining task performance. However, existing works mai…

eess.SP2024★ 3 cited

A Survey on Indoor Visible Light Positioning Systems: Fundamentals, Applications, and Challenges

Zhiyu Zhu, Yang Yang, Mingzhe Chen +3

The growing demand for location-based services in areas like virtual reality, robot control, and navigation has intensified the focus on indoor localization. Visible light position…

cs.CR2023

Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission

Lunan Sun, Yang Yang, Mingzhe Chen +1

Joint source and channel coding (JSCC) has attracted increasing attention due to its robustness and high efficiency. However, JSCC is vulnerable to privacy leakage due to the high…

cs.CR2023★ 1 cited

Privacy-Aware Joint Source-Channel Coding for image transmission based on Disentangled Information Bottleneck

Lunan Sun, Caili Guo, Mingzhe Chen +1

Current privacy-aware joint source-channel coding (JSCC) works aim at avoiding private information transmission by adversarially training the JSCC encoder and decoder under specifi…

eess.SP2023★ 2 cited

Explainable Semantic Communication for Text Tasks

Chuanhong Liu, Caili Guo, Yang Yang +4

Task-oriented semantic communication has gained increasing attention due to its ability to reduce the amount of transmitted data without sacrificing task performance. Although some…