Yueyue Dai
Orcid: 0000-0002-2163-987X
According to our database1,
Yueyue Dai
authored at least 52 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Graph Deep Reinforcement Learning for Multi-Cycle Queuing and Scheduling in Deterministic Networking.
IEEE Trans. Netw. Sci. Eng., 2025
2024
IEEE Internet Things J., November, 2024
Lightweight Cross-Domain Authentication Scheme for Securing Wireless IoT Devices Using Backscatter Communication.
IEEE Internet Things J., June, 2024
Incentive Mechanism Against Bounded Rationality for Federated Learning-Enabled Internet of UAVs: A Prospect Theory-Based Approach.
IEEE Internet Things J., June, 2024
LeaNet: Lightweight U-shaped architecture for high-performance skin cancer image segmentation.
Comput. Biol. Medicine, February, 2024
MDTW Metric: A Signal Matching Yardstick for Accurately Evaluating the Quality of Tactile Internet.
IEEE Trans. Netw. Sci. Eng., 2024
Federated Deep Reinforcement Learning for Task Offloading in Digital Twin Edge Networks.
IEEE Trans. Netw. Sci. Eng., 2024
Bayesian Game-Driven Incentive Mechanism for Blockchain-Enabled Secure Federated Learning in 6G Wireless Networks.
IEEE Trans. Netw. Sci. Eng., 2024
Online Compression of Multichannel Power Waveform Data in Distribution Grid With Novel Tensor Method.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Inf. Forensics Secur., 2024
Blockchain empowered access control for digital twin system with attribute-based encryption.
Future Gener. Comput. Syst., 2024
Blockchain-Based Secure Federated Learning with Incentives: An Incomplete Information Static Game Approach.
Proceedings of the IEEE International Conference on Communications, 2024
2023
Enhancing Account Privacy in Blockchain-Based IoT Access Control via Zero Knowledge Proof.
IEEE Netw., November, 2023
Energy Efficient Computation Offloading in Aerial Edge Networks With Multi-Agent Cooperation.
IEEE Trans. Wirel. Commun., September, 2023
Mob. Networks Appl., August, 2023
Deep Reinforcement Learning Based Task-Oriented Communication in Multi-Agent Systems.
IEEE Wirel. Commun., June, 2023
Edge Intelligence for Adaptive Multimedia Streaming in Heterogeneous Internet of Vehicles.
IEEE Trans. Mob. Comput., March, 2023
Efficient Resource Allocation and Semantic Extraction for Federated Learning Empowered Vehicular Semantic Communication.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
LActDet: An Automatic Network Attack Activity Detection Framework for Multi-step Attacks.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
CACluster: A Clustering Approach for IoT Attack Activities Based on Contextual Analysis.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Accurate Performance Analysis of Telemedicine Systems by Exploiting Kinematic Characteristics.
Proceedings of the IEEE International Conference on Communications, 2023
Deep Reinforcement Learning for Resource Allocation in Blockchain-Based Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
IEEE Trans. Veh. Technol., 2022
J. Commun. Inf. Networks, 2022
IEEE Internet Things J., 2022
Human-Cyber-Physical Ubiquitous Intelligent Communication: System Architecture, Key Technologies, and Challenges.
IEEE Commun. Mag., 2022
Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022
Proceedings of the IEEE Symposium on Computers and Communications, 2022
2021
IEEE Wirel. Commun., 2021
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks.
IEEE Trans. Ind. Informatics, 2021
IEEE Netw., 2021
An intelligent scheme for congestion control: When active queue management meets deep reinforcement learning.
Comput. Networks, 2021
2020
Edge Intelligence for Energy-Efficient Computation Offloading and Resource Allocation in 5G Beyond.
IEEE Trans. Veh. Technol., 2020
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks.
IEEE Trans. Veh. Technol., 2020
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT.
IEEE Trans. Ind. Informatics, 2020
Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics.
IEEE Trans. Ind. Informatics, 2020
Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems.
IEEE Netw., 2020
Revenue-maximizing virtualized network function chain placement in dynamic environment.
Future Gener. Comput. Syst., 2020
2019
Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles.
IEEE Wirel. Commun., 2019
IEEE Netw., 2019
IEEE Internet Things J., 2019
Permissioned Blockchain and Deep Reinforcement Learning for Content Caching in Vehicular Edge Computing and Networks.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019
Deep Reinforcement Learning for Edge Caching and Content Delivery in Internet of Vehicles.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
Provable Algorithm for Virtualised Network Function Chain Placement in Dynamic Environment.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Joint Computation Offloading and User Association in Multi-Task Mobile Edge Computing.
IEEE Trans. Veh. Technol., 2018
Proceedings of the IEEE Global Communications Conference, 2018
Proceedings of the IEEE Global Communications Conference, 2018
2017
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017