219 citations · 378 across the 62 of their papers we have counts for
10 papers · 1 filter
Frequency-Aware Continual Learning for Smart Contract Vulnerability Detection with Large Language Models
Tenghui Huang, Jiawen Kang, Dongning Liu +5
Smart contract vulnerability detection with Large Language Models (LLMs) faces three causally linked challenges. First, new vulnerability categories demand parameter-efficient adap…
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…
Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents
Yue Zhong, Yongju Tong, Jiawen Kang +4
The Internet of Agents (IoA) is rapidly gaining prominence as a foundational architecture for interconnected intelligent systems, designed to facilitate seamless discovery, communi…
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…
Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
Yuntao Wang, Yanghe Pan, Zhou Su +6
With the rapid advancement of large models (LMs), the development of general-purpose intelligent agents powered by LMs has become a reality. It is foreseeable that in the near futu…
Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses
Yingkai Kang, Jinbo Wen, Jiawen Kang +5
The vehicular metaverse is envisioned as a blended immersive domain that promises to bring revolutionary changes to the automotive industry. As a core component of vehicular metave…
Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses
Yongju Tong, Jiawen Kang, Junlong Chen +4
Air-ground integrated networks can relieve communication pressure on ground transportation networks and provide 6G-enabled vehicular Metaverses services offloading in remote areas…
Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach
Yongju Tong, Junlong Chen, Minrui Xu +5
Vehicular Metaverses are developed to enhance the modern automotive industry with an immersive and safe experience among connected vehicles and roadside infrastructures, e.g., Road…
Efficient Prompting for LLM-based Generative Internet of Things
Bin Xiao, Burak Kantarci, Jiawen Kang +2
Large language models (LLMs) have demonstrated remarkable capacities on various tasks, and integrating the capacities of LLMs into the Internet of Things (IoT) applications has dra…
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
Minrui Xu, Dusit Niyato, Jiawen Kang +5
AI agents based on multimodal large language models (LLMs) are expected to revolutionize human-computer interaction and offer more personalized assistant services across various do…