activity
20232026
most citedOverview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

198 citations · 220 across the 29 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

cs.NI2025

Sensing and Understanding the World over Air: A Large Multimodal Model for Mobile Networks

Zhuoran Duan, Yuhao Wei, Guoshun Nan +9

Large models (LMs), such as ChatGPT, have made a significant impact across diverse domains and hold great potential to facilitate the evolution of network intelligence. Wireless-na…

cs.LG2025

Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications

Xinye Cao, Hongcan Guo, Guoshun Nan +9

Interactive multimodal applications (IMAs), such as route planning in the Internet of Vehicles, enrich users' personalized experiences by integrating various forms of data over wir…

eess.SP2025

Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art

Dayu Fan, Rui Meng, Xiaodong Xu +9

With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of w…

cs.NI2025

Agile Orchestration at Will: An Entire Smart Service-Based Security Architecture Towards 6G

Zhuoran Duan, Guoshun Nan, Rushan Li +8

The upcoming 6G will fundamentally reshape mobile networks beyond communications, unlocking a multitude of applications that were once considered unimaginable. Meanwhile, security…

cs.DC2025★ 2 cited

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams

Xiyu Zhao, Qimei Cui, Wei Ni +5

The timely exchange of information among robots within a team is vital, but it can be constrained by limited wireless capacity. The inability to deliver information promptly can re…

cs.LG2025

Two Is Better Than One: Rotations Scale LoRAs

Hongcan Guo, Guoshun Nan, Yuan Yang +9

Scaling Low-Rank Adaptation (LoRA)-based Mixture-of-Experts (MoE) facilitates large language models (LLMs) to efficiently adapt to diverse tasks. However, traditional gating mechan…

cs.CR2025

An LLM-based Self-Evolving Security Framework for 6G Space-Air-Ground Integrated Networks

Qi Qin, Xinye Cao, Guoshun Nan +8

Recently emerged 6G space-air-ground integrated networks (SAGINs), which integrate satellites, aerial networks, and terrestrial communications, offer ubiquitous coverage for variou…

eess.SP2025

Generative AI for Physical-Layer Authentication

Rui Meng, Xiqi Cheng, Song Gao +6

Recently, Artificial Intelligence (AI)-driven Physical-Layer Authentication (PLA), which focuses on achieving endogenous security and intelligent identity authentication, has attra…

cs.CL2025

Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions

Jingxin Xu, Guoshun Nan, Sheng Guan +7

Recent AI agents, such as ChatGPT and LLaMA, primarily rely on instruction tuning and reinforcement learning to calibrate the output of large language models (LLMs) with human inte…