38 citations · 234 across the 201 of their papers we have counts for
12 papers · 1 filter
Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges
Chenqi Li, Minghui Min, Dusit Niyato +1
Diffusion language models (DLMs) offer a non-autoregressive alternative for mobile edge agentic artificial intelligence (AI) by refining tokens through iterative denoising rather t…
An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing
Hanwen Zhang, Dusit Niyato, Wei Zhang +2
In cloud manufacturing, unmanned aerial vehicles (UAVs) can support both product collection and mobile edge computing (MEC). This joint operation forms a hybrid scheduling problem,…
From Digital Twins to World Models:Opportunities, Challenges, and Applications for Mobile Edge General Intelligence
Jie Zheng, Dusit Niyato, Changyuan Zhao +2
The rapid evolution toward 6G and beyond communication systems is accelerating the convergence of digital twins and world models at the network edge. Traditional digital twins prov…
From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Changyuan Zhao, Ruichen Zhang, Jiacheng Wang +5
Self-evolving agentic artificial intelligence (AI) offers a new paradigm for future wireless systems by enabling autonomous agents to continually adapt and improve without human in…
LMM-Incentive: Large Multimodal Model-based Incentive Design for User-Generated Content in Web 3.0
Jinbo Wen, Jiawen Kang, Linfeng Zhang +5
Web 3.0 represents the next generation of the Internet, which is widely recognized as a decentralized ecosystem that focuses on value expression and data ownership. By leveraging b…
Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI
Botao Zhu, Jeslyn Wang, Dusit Niyato +1
Offloading computational tasks from resource-constrained devices to resource-abundant peers constitutes a critical paradigm for collaborative computing. Within this context, accura…
Semantic Chain-of-Trust: Autonomous Trust Orchestration for Collaborator Selection via Hypergraph-Aided Agentic AI
Botao Zhu, Xianbin Wang, Dusit Niyato
The effective completion of tasks in collaborative systems hinges on task-specific trust evaluations of potential devices for distributed collaboration. Due to independent operatio…
Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness
Yanwei Gong, Junchao Fan, Ruichen Zhang +3
The rapid growth of the low-altitude economy has driven the widespread adoption of unmanned aerial vehicles (UAVs). This growing deployment presents new challenges for UAV trajecto…
Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking
Lingyi Cai, Ruichen Zhang, Changyuan Zhao +5
Low-Altitude Economic Networking (LAENet) aims to support diverse flying applications below 1,000 meters by deploying various aerial vehicles for flexible and cost-effective aerial…
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks
Baoxia Du, Hongyang Du, Dusit Niyato +1
Task-oriented semantic communication has emerged as a fundamental approach for enhancing performance in various communication scenarios. While recent advances in Generative Artific…
A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao, Huy Q. Le, Avi Deb Raha +7
The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. As prominent instances of foundational models (FMs), they exhibit remark…
Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning
Xin Tang, Qian Chen, Wenjie Weng +6
The integration of emerging uncrewed aerial vehicles (UAVs) with artificial intelligence (AI) and ground-embedded robots (GERs) has transformed emergency rescue operations in unkno…