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20212026
most citedA Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

58 citations · 296 across the 51 of their papers we have counts for

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10 papers · 1 filter

cs.AI2024

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…

cs.AI2024

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…

cs.AI2024★ 8 cited

A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles

Jiani Fan, Minrui Xu, Ziyao Liu +4

Artificial Intelligence-Generated Content (AIGC) refers to the paradigm of automated content generation utilizing AI models. Mobile AIGC services in the Internet of Vehicles (IoV)…

cs.AI2024

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…

cs.AI2024

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

Jiawen Kang, Yue Zhong, Minrui Xu +7

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 physica…

cs.AI2023★ 2 cited

Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction

Junlong Chen, Jiawen Kang, Minrui Xu +5

Avatars, as promising digital assistants in Vehicular Metaverses, can enable drivers and passengers to immerse in 3D virtual spaces, serving as a practical emerging example of Arti…

cs.AI2023★ 1 cited

Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach

Siyue Zhang, Minrui Xu, Wei Yang Bryan Lim +1

Recent breakthroughs in generative artificial intelligence have triggered a surge in demand for machine learning training, which poses significant cost burdens and environmental ch…

cs.AI2023★ 4 cited

Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses

Minrui Xu, Dusit Niyato, Junlong Chen +5

In the vehicular mixed reality (MR) Metaverse, the distance between physical and virtual entities can be overcome by fusing the physical and virtual environments with multi-dimensi…

cs.AI2023★ 3 cited

Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse

Minrui Xu, Dusit Niyato, Hongliang Zhang +4

Metaverse seamlessly blends the physical world and virtual space via ubiquitous communication and computing infrastructure. In transportation systems, the vehicular Metaverse can p…

cs.AI2022★ 6 cited

When Quantum Information Technologies Meet Blockchain in Web 3.0

Minrui Xu, Xiaoxu Ren, Dusit Niyato +5

With the drive to create a decentralized digital economy, Web 3.0 has become a cornerstone of digital transformation, developed on the basis of computing-force networking, distribu…