activity
20242026
most citedHallucination-aware Optimization for Large Language Model-empowered Communications

1 citations · 2 across the 8 of their papers we have counts for

collaborators

10 papers

cs.NI2026

IGAA: Intent-Driven General Agentic AI for Edge Services Scheduling using Generative Meta Learning

Yan Sun, Yinqiu Liu, Shaoyong Guo +6

Agentic AI (AAI), which extends Large Language Models with enhanced reasoning capabilities, has emerged as a promising paradigm for autonomous edge service scheduling. However, use…

cs.NI2026

Unleashing Tool Engineering and Intelligence for Agentic AI in Next-Generation Communication Networks

Yinqiu Liu, Ruichen Zhang, Dusit Niyato +3

Nowadays, agentic AI is emerging as a transformative paradigm for next-generation communication networks, promising to evolve large language models (LLMs) from passive chatbots int…

cs.IT2025

Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI

Yuxuan Wu, Linghan Ma, Ruichen Zhang +9

Edge General Intelligence (EGI) represents a paradigm shift in mobile edge computing, where intelligent agents operate autonomously in dynamic, resource-constrained environments. H…

cs.NI2025

Toward Integrated Air-Ground Computing and Communications: A Synergy of Computing Power Networks and Low-Altitude Economy Network

Yan Sun, Yinqiu Liu, Shaoyong Guo +5

With the rapid rise of the Low-Altitude Economy (LAE), the demand for intelligent processing and real-time response in services such as aerial traffic, emergency communications, an…

cs.NI2025

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives

Haoxiang Luo, Yu Yan, Yanhui Bian +9

Artificial Intelligence (AI) techniques play a pivotal role in optimizing wireless communication networks. However, traditional deep learning approaches often act as closed boxes,…

cs.NI2025

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial

Bisheng Wei, Ruihong Jiang, Ruichen Zhang +9

The rapid advancement toward sixth-generation (6G) wireless networks has significantly intensified the complexity and scale of optimization problems, including resource allocation…