Minrui Xu
Orcid: 0000-0002-8203-8146
According to our database1,
Minrui Xu
authored at least 82 papers
between 2021 and 2025.
Collaborative distances:
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Bibliography
2025
Variational spatial-temporal graph attention network for state monitoring and forecasting.
Expert Syst. Appl., 2025
2024
Blockchain and Trusted Hardware-Enabled Data Scheduling for Edge Learning in Wireless IIoT.
IEEE Internet Things J., November, 2024
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
IEEE Netw., May, 2024
Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand.
IEEE Trans. Veh. Technol., March, 2024
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
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
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
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
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
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
CoRR, 2023
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction.
CoRR, 2023
CoRR, 2023
Sparks of GPTs in Edge Intelligence for Metaverse: Caching and Inference for Mobile AIGC Services.
CoRR, 2023
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
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
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
IEEE Wirel. Commun., 2022
Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things.
IEEE Trans. Netw. Sci. Eng., 2022
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
CoRR, 2022
DQC<sup>2</sup>O: Distributed Quantum Computing for Collaborative Optimization in Future Networks.
CoRR, 2022
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
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