Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach

J Kang, Y Zhong, M Xu, J Nie, J Wen… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The synergy between unmanned aerial vehicles (UAVs) and metaverses is giving rise to an
emerging paradigm named UAV metaverses, which create a unified ecosystem that blends …

From generative ai to generative internet of things: Fundamentals, framework, and outlooks

J Wen, J Nie, J Kang, D Niyato, H Du… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Generative Artificial Intelligence (GAI) possesses the capabilities of generating realistic data
and facilitating advanced decision-making. By integrating GAI into modern Internet of Things …

Hybrid-generative diffusion models for attack-oriented twin migration in vehicular metaverses

Y Kang, J Wen, J Kang, T Zhang, H Du… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

Hybrid RAG-Empowered Multi-Modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-Based Contract Approach

C Su, J Wen, J Kang, Y Wang, Y Su… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Secure data management and effective data sharing have become paramount in the rapidly
evolving healthcare landscape, especially with the growing demand for the Internet of …

Hybrid RAG-empowered Multi-modal LLM for Secure Healthcare Data Management: A Diffusion-based Contract Theory Approach

C Su, J Wen, J Kang, Y Wang, H Pan… - arxiv preprint arxiv …, 2024 - arxiv.org
Secure data management and effective data sharing have become paramount in the rapidly
evolving healthcare landscape. The advancement of generative artificial intelligence has …

[HTML][HTML] Blockchain-Assisted Secure Energy Trading in Electricity Markets: A Tiny Deep Reinforcement Learning-Based Stackelberg Game Approach

Y **ao, X Lin, Y Lei, Y Gu, J Tang, F Zhang, B Qian - Electronics, 2024 - mdpi.com
Electricity markets are intricate systems that facilitate efficient energy exchange within
interconnected grids. With the rise of low-carbon transportation driven by environmental …

Generative Diffusion-Based Contract Design for Efficient AI Twin Migration in Vehicular Embodied AI Networks

Y Zhong, J Kang, J Wen, D Ye, J Nie… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
Embodied Artificial Intelligence (AI) bridges the cyberspace and the physical space, driving
advancements in autonomous systems like the V ehicular E mbodied AI NET work …

Graph Attention Network-Based Block Propagation With Optimal AoB and Reputation in Web 3.0

J Liao, J Wen, J Kang, C Yi, Y Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Web 3.0 is recognized as a pioneering paradigm that empowers users to securely oversee
data without reliance on a centralized authority. Blockchains, as a core technology to realize …

VRVul-Discovery: BiLSTM-based Vulnerability Discovery for Virtual Reality Devices in Metaverse

L Sha, X Chen, F **ao, Z Wang, Z Long, Q Fan… - ACM Transactions on …, 2024 - dl.acm.org
The rapid development of the metaverse has brought about numerous security challenges.
Virtual Reality (VR), as one of the core technologies, plays a crucial role in the metaverse …

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses

X Wen, J Wen, M **ao, J Kang, T Zhang, X Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Vehicular metaverses, blending traditional vehicular networks with metaverse technology,
are expected to revolutionize fields such as autonomous driving. As virtual intelligent …