Yijing Liu
Orcid: 0000-0003-3079-5919Affiliations:
- University of Electronic Science and Technology of China, UESTC, Yangtze Delta Region Institute, National Key Laboratory of Science and Technology on Communications, Chengdu, China
According to our database1,
Yijing Liu
authored at least 23 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Joint UAV Deployment and Resource Allocation: A Personalized Federated Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., March, 2024
2023
IEEE Netw., November, 2023
A Unified Framework for Joint Sensing and Communication in Resource Constrained Mobile Edge Networks.
IEEE Trans. Mob. Comput., October, 2023
Slicing4Meta: An Intelligent Integration Architecture with Multi-Dimensional Network Resources for Metaverse-as-a-Service in Web 3.0.
IEEE Commun. Mag., August, 2023
Ensemble Distillation Based Adaptive Quantization for Supporting Federated Learning in Wireless Networks.
IEEE Trans. Wirel. Commun., June, 2023
Joint Sensing, Communication, and Computation in Mobile Crowdsensing Enabled Edge Networks.
IEEE Trans. Wirel. Commun., April, 2023
Beam Management in Ultra-Dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach.
IEEE Trans. Cogn. Commun. Netw., February, 2023
Joint Multi-UAV Deployment and Resource Allocation Based on Personalized Federated Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2023
Intelligent Beam Configuration for Neighbor Discovery in Ad Hoc Networks with Directional Antennas.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
2022
IEEE Trans. Wirel. Commun., 2022
Blockchain-Empowered Federated Learning Approach for an Intelligent and Reliable D2D Caching Scheme.
IEEE Internet Things J., 2022
Slicing4Meta: An Intelligent Integration Framework with Multi-dimensional Network Resources for Metaverse-as-a-Service in Web 3.0.
CoRR, 2022
Resource Consumption for Supporting Federated Learning Enabled Network Edge Intelligence.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022
Adaptive Quantization based on Ensemble Distillation to Support FL enabled Edge Intelligence.
Proceedings of the IEEE Global Communications Conference, 2022
Cooperative Date Sensing, Communication and Computation in Resource Constrained Mobile Crowdsensing.
Proceedings of the IEEE Global Communications Conference, 2022
A Joint Sensing and Communication Framework in Resource Constrained Mobile Edge Networks.
Proceedings of the IEEE Global Communications Conference, 2022
2021
Proceedings of the ICC 2021, 2021
A Privacy-preserved D2D Caching Scheme Underpinned by Blockchain-enabled Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2021
2020
Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2020
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Network Function Migration in Softwarization Based Networks with Mobile Edge Computing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
Multi-Agent Reinforcement Learning Based Cooperative Content Caching for Mobile Edge Networks.
IEEE Access, 2019