activity
20232025
most citedThe Age of Generative AI and AI-Generated Everything

4 citations · 7 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.NI2025

LLM-Empowered Agentic AI for QoE-Aware Network Slicing Management in Industrial IoT

Xudong Wang, Lei Feng, Ruichen Zhang +6

The Industrial Internet of Things (IIoT) requires networks that deliver ultra-low latency, high reliability, and cost efficiency, which traditional optimization methods and deep re…

cs.NI20251 cited

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey

Yinqiu Liu, Ruichen Zhang, Haoxiang Luo +9

Agentification serves as a critical enabler of Edge General Intelligence (EGI), transforming massive edge devices into cognitive agents through integrating Large Language Models (L…

cs.NI2025

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks

Xudong Wang, Lei Feng, Jiacheng Wang +4

As a key component of low-altitude wireless networks, aerial base stations (AeBSs) provide flexible and reliable wireless coverage to support 6G ultra-reliable and low-latency comm…

cs.NI20241 cited

Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study

Jinbo Wen, Jiawen Kang, Dusit Niyato +4

Data augmentation as a technique can mitigate data scarcity in machine learning. However, owing to fundamental differences in wireless data structures, traditional data augmentatio…

cs.NI2024

Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts

Ruichen Zhang, Hongyang Du, Dusit Niyato +4

In the continued development of next-generation networking and artificial intelligence content generation (AIGC) services, the integration of multi-agent systems (MAS) and the mixt…

cs.NI2024

Cross-Modal Generative Semantic Communications for Mobile AIGC: Joint Semantic Encoding and Prompt Engineering

Yinqiu Liu, Hongyang Du, Dusit Niyato +5

Employing massive Mobile AI-Generated Content (AIGC) Service Providers (MASPs) with powerful models, high-quality AIGC services can become accessible for resource-constrained end u…