Chenyuan Feng

Orcid: 0000-0003-1758-9213

According to our database1, Chenyuan Feng authored at least 63 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

On csauthors.net:

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

Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective.
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

Spectral Efficiency-Aware Codebook Design for Task-Oriented Semantic Communications.
IEEE Trans. Wirel. Commun., 2026

The Meta Distribution of the SINR in Joint Communication and Sensing Networks.
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

Reinforcement Learning-Based Distributed Channel Access for Delay Optimization.
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

Deep Unfolding Neural Networks for Fluid Antenna-Enhanced Vehicular Communication.
IEEE Trans. Veh. Technol., September, 2025

Toward 6G Native-AI Network: Foundation Model-Based Cloud-Edge-End Collaboration Framework.
IEEE Commun. Mag., August, 2025

Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach.
IEEE Trans. Cogn. Commun. Netw., June, 2025

SFedXL: Semi-Synchronous Federated Learning With Cross-Sharpness and Layer-Freezing.
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

Sparsified Random Partial Model Update for Personalized Federated Learning.
IEEE Trans. Mob. Comput., April, 2025

Task-oriented Age of Information for Remote Inference with Hybrid Language Models.
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

SFedXSL: Semi-Synchronous Federated Cross-Sharpness Learning for UAV Swarm.
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

The Meta Distribution of the SIR in Joint Communication and Sensing Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Recommendation Algorithm Based on Federated Multi-modal Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Spatial domain prediction of optimal MIMO beam alignment pairs in D2D networks.
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

Proactive Content Caching Scheme in Urban Vehicular Networks.
IEEE Trans. Commun., July, 2023

Privacy-Preserving Hierarchical Federated Recommendation Systems.
IEEE Commun. Lett., May, 2023

Semi-Synchronous Personalized Federated Learning Over Mobile Edge Networks.
IEEE Trans. Wirel. Commun., April, 2023

Foundation Model Based Native AI Framework in 6G with Cloud-Edge-End Collaboration.
CoRR, 2023

EAPS: Edge-Assisted Privacy-Preserving Federated Prediction Systems.
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

Dynamic Partition Caching and Replacement Scheme in the Internet of Vehicles.
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
Federated Learning With Non-IID Data in Wireless Networks.
IEEE Trans. Wirel. Commun., 2022

Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks.
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
On the Design of Federated Learning in the Mobile Edge Computing Systems.
IEEE Trans. Commun., 2021

Multi-Edge Computing Offloading for Ultra-Reliable and Low-Latency Communication.
Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Federated Learning with User Mobility in Hierarchical Wireless Networks.
Proceedings of the IEEE Global Communications Conference, 2021

On the Convergence Rate of Federated Learning over Unreliable Networks.
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
Attention-based Graph Convolutional Network for Recommendation System.
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


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