activity
20232026
most citedFederated Learning for Diffusion Models

10 citations · 15 across the 10 of their papers we have counts for

collaborators

11 papers

cs.IT2026

Partially Observable Restless Bandits for Age-Optimal Scheduling over Markov Channels

Xijun Wang, Shuying Gan, Yanzhi Huang +3

There is a surge of need for fresh information with the overwhelming proliferation of the Internet of Things (IoT) applications. To characterize the information freshness perceived…

cs.NI2026

Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN

Xijun Wang, Zhaoyang Liu, Chenyuan Feng +3

As 6G evolves, the radio access network must transcend traditional automation to embrace agentic AI capable of perception, reasoning, and evolution. A fundamental cognitive gap per…

cs.IT2025

Minimizing Task-Oriented Age of Information for Remote Monitoring with Pre-Identification

Shuying Gan, Xijun Wang, Chao Xu +1

The emergence of new intelligent applications has fostered the development of a task-oriented communication paradigm, where a comprehensive, universal, and practical metric is cruc…

cs.LG2025★ 10 cited

Federated Learning for Diffusion Models

Zihao Peng, Xijun Wang, Shengbo Chen +2

Diffusion models are powerful generative models that can produce highly realistic samples for various tasks. Typically, these models are constructed using centralized, independentl…

cs.CV2025

Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation

Xiang Chen, Shuying Gan, Chenyuan Feng +2

The growing demand for efficient semantic communication systems capable of managing diverse tasks and adapting to fluctuating channel conditions has driven the development of robus…

cs.IT2024★ 1 cited

Meta-Reinforcement Learning With Mixture of Experts for Generalizable Multi Access in Heterogeneous Wireless Networks

Zhaoyang Liu, Xijun Wang, Chenyuan Feng +3

This paper focuses on spectrum sharing in heterogeneous wireless networks, where nodes with different Media Access Control (MAC) protocols to transmit data packets to a common acce…

cs.NI2024

Task-oriented Age of Information for Remote Monitoring Systems

Shuying Gan, Xijun Wang, Chao Xu +1

The emergence of intelligent applications has fostered the development of a task-oriented communication paradigm, where a comprehensive, universal, and practical metric is crucial…

cs.IT2024

Trustworthy Image Semantic Communication with GenAI: Explainablity, Controllability, and Efficiency

Xijun Wang, Dongshan Ye, Chenyuan Feng +3

Image semantic communication (ISC) has garnered significant attention for its potential to achieve high efficiency in visual content transmission. However, existing ISC systems bas…

cs.IT2023

Meta-Reinforcement Learning for Timely and Energy-efficient Data Collection in Solar-powered UAV-assisted IoT Networks

Mengjie Yi, Xijun Wang, Juan Liu +2

Unmanned aerial vehicles (UAVs) have the potential to greatly aid Internet of Things (IoT) networks in mission-critical data collection, thanks to their flexibility and cost-effect…

cs.NI2023

Optimal Status Updates for Minimizing Age of Correlated Information in IoT Networks with Energy Harvesting Sensors

Chao Xu, Xinyan Zhang, Howard H. Yang +4

Many real-time applications of the Internet of Things (IoT) need to deal with correlated information generated by multiple sensors. The design of efficient status update strategies…

cs.IT2023★ 4 cited

Toward 6G Native-AI Network: Foundation Model based Cloud-Edge-End Collaboration Framework

Xiang Chen, Zhiheng Guo, Xijun Wang +5

Future wireless communication networks are in a position to move beyond data-centric, device-oriented connectivity and offer intelligent, immersive experiences based on multi-agent…