Chenyuan Feng
Orcid: 0000-0003-1758-9213
According to our database1,
Chenyuan Feng authored at least 63 papers
between 2017 and 2026.
Collaborative distances:
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Bibliography
2026
H-Infinity Tracking for Intelligent Edge-Controlled Systems Over Fading Channels in AI-RAN.
IEEE Trans. Veh. Technol., April, 2026
Semantic-Enabled 6G Communication: A Task-Oriented and Privacy-Preserving Perspective.
IEEE Netw., March, 2026
Decentralized Semantic Communication and Cooperative Tracking Control for a UAV Swarm Over Wireless MIMO Fading Channels.
IEEE Trans. Veh. Technol., February, 2026
CoRR, February, 2026
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge.
CoRR, January, 2026
Multi-LLM Cooperation-Based Joint Intent-Driven Network Slicing and Resource Allocation.
IEEE Wirel. Commun. Lett., 2026
IEEE Trans. Wirel. Commun., 2026
IEEE Trans. Netw. Sci. Eng., 2026
Meta-Reinforcement Learning With Mixture of Experts for Generalizable Multi Access in Heterogeneous Wireless Networks.
IEEE Trans. Commun., 2026
Minimizing Task-Oriented Age of Information for Remote Monitoring With Pre-Identification.
IEEE Trans. Commun., 2026
Toward Robust UAV Swarm Coordination in Low-Altitude Networks: Online Learning Control Under System and Channel Uncertainty.
IEEE Trans. Cogn. Commun. Netw., 2026
Semantic Radio Access Networks: Architecture, State-of-the-Art, and Future Directions.
IEEE Trans. Cogn. Commun. Netw., 2026
IEEE Internet Things J., 2026
Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art.
IEEE Commun. Surv. Tutorials, 2026
2025
Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization.
IEEE Trans. Cogn. Commun. Netw., December, 2025
OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers.
CoRR, December, 2025
Empower Low-Altitude Economy: A Reliability-Aware Dynamic Weighting Allocation for Multi-modal UAV Beam Prediction.
CoRR, December, 2025
Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm.
CoRR, December, 2025
IEEE Trans. Veh. Technol., September, 2025
Toward 6G Native-AI Network: Foundation Model-Based Cloud-Edge-End Collaboration Framework.
IEEE Commun. Mag., August, 2025
IEEE Trans. Cogn. Commun. Netw., June, 2025
IEEE Internet Things J., June, 2025
Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2025
Trustworthy Image Semantic Communication With GenAI: Explainablity, Controllability, And Efficiency.
IEEE Wirel. Commun., April, 2025
Two-Timescale Adaptive Live Video Streaming Transmission Mechanism for Vehicular Networks.
IEEE Trans. Veh. Technol., April, 2025
IEEE Trans. Mob. Comput., April, 2025
CoRR, April, 2025
Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation.
CoRR, February, 2025
Collaborative Learning for Task-Oriented Semantic Communications: Overcoming Data Mismatch Between Transceivers.
IEEE Open J. Commun. Soc., 2025
Towards Green and Sustainable AI-Native RAN: From Prediction to Live Testbed Deployment.
J. Commun. Inf. Networks, 2025
Data-Driven Online Learning Algorithm for Optimal Linear Tracking Control Over Unreliable Wireless MIMO Fading Channels.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
FedSIT: Efficient Federated Fine-Tuning with Model Splitting and Importance-Based Tuning.
Proceedings of the International Joint Conference on Neural Networks, 2025
Orchestrating in the Sky: Joint Routing and Client Selection for Federated Learning in LEO Networks.
Proceedings of the 2025 IEEE Global Communications Conference, 2025
2024
Trustworthy Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective.
CoRR, 2024
Large Language Models for Base Station Siting: Intelligent Deployment based on Prompt or Agent.
CoRR, 2024
Harmonizing Efficiency and Precision in Semantic-Bit Coexisting Communication Systems.
Proceedings of the 22nd International Symposium on Modeling and Optimization in Mobile, 2024
Hierarchical Federated Learning: The Interplay of User Mobility and Data Heterogeneity.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024
Edge Computing Empowered Video Content Delivery Strategy in the Internet of Vehicles.
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 IEEE Global Communications Conference, 2024
2023
Hybrid Learning: When Centralized Learning Meets Federated Learning in the Mobile Edge Computing Systems.
IEEE Trans. Commun., December, 2023
IEEE Trans. Commun., July, 2023
IEEE Commun. Lett., May, 2023
IEEE Trans. Wirel. Commun., April, 2023
CoRR, 2023
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Privacy-Preserving Mobility-Aware Federated Collaborative Filtering Framework for Caching Prediction in Vehicular Networks.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
Service Decision Mechanism Based On Traffic Flow Prediction in the Internet of Vehicles.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
2022
IEEE Trans. Wirel. Commun., 2022
IEEE Trans. Wirel. Commun., 2022
EdgeGO: A Mobile Resource-Sharing Framework for 6G Edge Computing in Massive IoT Systems.
IEEE Internet Things J., 2022
Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
IEEE Trans. Commun., 2021
Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021
Proceedings of the IEEE Global Communications Conference, 2021
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2021, Shenzhen, 2021
2020
Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends.
IEEE Wirel. Commun., 2020
Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2017
Power control in full duplex networks: Area spectrum efficiency and energy efficency.
Proceedings of the IEEE International Conference on Communications, 2017