Minrui Xu

Orcid: 0000-0002-8203-8146

According to our database1, Minrui Xu authored at least 81 papers between 2021 and 2024.

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Bibliography

2024
Blockchain and Trusted Hardware-Enabled Data Scheduling for Edge Learning in Wireless IIoT.
IEEE Internet Things J., November, 2024

Multi-Agent DDPG Based Resource Allocation in NOMA-Enabled Satellite IoT.
IEEE Trans. Commun., October, 2024

Generative AI-Enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception.
IEEE Commun. Mag., October, 2024

Efficient IoV Resource Management Through Enhanced Clustering, Matching, and Offloading in DT-Enabled Edge Computing.
IEEE Internet Things J., September, 2024

Identifier-Driven Resource Orchestration With Quantum Computing for Differentiated Services in IoT-MMEC Networks.
IEEE Trans. Veh. Technol., July, 2024

Tiny Multiagent DRL for Twins Migration in UAV Metaverses: A Multileader Multifollower Stackelberg Game Approach.
IEEE Internet Things J., June, 2024

Performance Analysis and Power Allocation for Covert Mobile Edge Computing With RIS-Aided NOMA.
IEEE Trans. Mob. Comput., May, 2024

AI-Generated Network Design: A Diffusion Model-Based Learning Approach.
IEEE Netw., May, 2024

Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand.
IEEE Trans. Veh. Technol., March, 2024

When Quantum Information Technologies Meet Blockchain in Web 3.0.
IEEE Netw., March, 2024

EPViSA: Efficient Auction Design for Real-Time Physical-Virtual Synchronization in the Human-Centric Metaverse.
IEEE J. Sel. Areas Commun., March, 2024

Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication.
IEEE Internet Things J., February, 2024

UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE CAA J. Autom. Sinica, February, 2024

Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses With Trajectory Prediction.
IEEE Internet Things J., January, 2024

Mechanism Design for Semantic Communication in UAV-Assisted Metaverse: A Combinatorial Auction Approach.
IEEE Trans. Veh. Technol., 2024

Learning-Based Auction for Matching Demand and Supply of Holographic Digital Twin Over Immersive Communications.
IEEE Trans. Multim., 2024

QFDSA: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment.
IEEE Internet Things J., 2024

Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaverse.
CoRR, 2024

Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses.
CoRR, 2024

Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach.
CoRR, 2024

Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey.
CoRR, 2024

Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks.
CoRR, 2024

Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving.
CoRR, 2024

Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach.
CoRR, 2024

When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment.
CoRR, 2024

Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation.
CoRR, 2024

Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services.
IEEE Commun. Surv. Tutorials, 2024

DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration.
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

One-shot-but-not-degraded Federated Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

AI-Generated Bidding for Immersive AIGC Services in Mobile Edge-Empowered Metaverse.
Proceedings of the International Conference on Information Networking, 2024

Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Variational Quantum Circuit and Quantum Key Distribution-Based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment.
Proceedings of the IEEE International Conference on Communications, 2024

Deep Reinforcement Learning-Based Moving Target Defense for Multicast in Software-Defined Satellite Networks.
Proceedings of the IEEE International Conference on Communications, 2024

On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Multiple Description Coding for Point Cloud.
Proceedings of the IEEE International Conference on Communications, 2024

Deep Reinforcement Learning based Multi-attribute Auction Model for Resource Allocation in Vehicular AIGC Services.
Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security, 2024

FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Quantum-Secured Space-Air-Ground Integrated Networks: Concept, Framework, and Case Study.
IEEE Wirel. Commun., December, 2023

Sparks of Generative Pretrained Transformers in Edge Intelligence for the Metaverse: Caching and Inference for Mobile Artificial Intelligence-Generated Content Services.
IEEE Veh. Technol. Mag., December, 2023

Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

An Overview of 3GPP Standardization for Extended Reality (XR) in 5G and Beyond.
GetMobile Mob. Comput. Commun., September, 2023

Generative AI-Empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses.
IEEE J. Sel. Top. Signal Process., September, 2023

Learning to effectively model spatial-temporal heterogeneity for traffic flow forecasting.
World Wide Web (WWW), May, 2023

An Introduction to Point Cloud Compression Standards.
GetMobile Mob. Comput. Commun., March, 2023

Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet.
IEEE J. Sel. Top. Signal Process., January, 2023

Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing.
CoRR, 2023

Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction.
CoRR, 2023

Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing.
CoRR, 2023

Towards Quantum Federated Learning.
CoRR, 2023

Sparks of GPTs in Edge Intelligence for Metaverse: Caching and Inference for Mobile AIGC Services.
CoRR, 2023

Entangled Pair Resource Allocation under Uncertain Fidelity Requirements.
CoRR, 2023

AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach.
CoRR, 2023

Building Resilient Web 3.0 with Quantum Information Technologies and Blockchain: An Ambilateral View.
CoRR, 2023

A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges.
IEEE Commun. Surv. Tutorials, 2023

Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Smart Healthcare with Hybrid Mobile Edge-Quantum Computing: Dynamic Computation Offloading for Latency Improvement.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Stochastic Qubit Resource Allocation for Quantum Cloud Computing.
Proceedings of the NOMS 2023, 2023

Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

Joining Edge-Enabled Metaverse Services with Network Externality: A Stackelberg Game Approach.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Freshness-aware Incentive Mechanism for Mobile AI-Generated Content (AIGC) Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Learning-Based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing.
Proceedings of the IEEE International Conference on Communications, 2023

Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2023

Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Secure and Reliable Transfer Learning Framework for 6G-Enabled Internet of Vehicles.
IEEE Wirel. Commun., 2022

Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things.
IEEE Trans. Netw. Sci. Eng., 2022

Compact Learning Model for Dynamic Off-Chain Routing in Blockchain-Based IoT.
IEEE J. Sel. Areas Commun., 2022

Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber-Physical Systems.
IEEE Internet Things J., 2022

EPViSA: Efficient Auction Design for Real-time Physical-Virtual Synchronization in the Metaverse.
CoRR, 2022

Holographic-Type Communication for Digital Twin: A Learning-based Auction Approach.
CoRR, 2022

DQC<sup>2</sup>O: Distributed Quantum Computing for Collaborative Optimization in Future Networks.
CoRR, 2022

Optimal Stochastic Resource Allocation for Distributed Quantum Computing.
CoRR, 2022

Design of Extreme High Voltage High Stability Test Voltage Source.
Proceedings of the 8th International Conference on Systems and Informatics, 2022

Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality.
Proceedings of the IEEE International Conference on Communications, 2022

Stochastic Resource Allocation in Quantum Key Distribution for Secure Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022

Performance Analysis of Jammer-Aided Covert RIS-NOMA Systems.
Proceedings of the IEEE Global Communications Conference, 2022

Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks.
Proceedings of the 27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2022

2021
NOMA-Enabled Cooperative Computation Offloading for Blockchain-Empowered Internet of Things: A Learning Approach.
IEEE Internet Things J., 2021

A robust stochastic stability analysis approach for power system considering wind speed prediction error based on Markov model.
Comput. Stand. Interfaces, 2021


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