Power control in full duplex networks: Area spectrum efficiency and energy efficency. - Chenyuan Feng; Yi Zhong 001; Tony Q. S. Quek; Gang Wu 001 (ICC, 2017)

Attention-based Graph Convolutional Network for Recommendation System. - Chenyuan Feng; Zuozhu Liu; Shaowei Lin; Tony Q. S. Quek (ICASSP, 2019)

Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems. - Chenyuan Feng; Yidong Wang; Zhongyuan Zhao 001; Tony Q. S. Quek; Mugen Peng (ICC Workshops, 2020)

Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends. - Zhongyuan Zhao 001; Chenyuan Feng; Howard H. Yang; Xueting Luo (IEEE Wirel. Commun., 2020)

On the Convergence Rate of Federated Learning over Unreliable Networks. - Chenyuan Feng; Howard H. Yang; Zihan Chen 001; Daquan Feng; Zhenzhong Wang; Tony Q. S. Quek (ComComAP, 2021)

Federated Learning with User Mobility in Hierarchical Wireless Networks. - Chenyuan Feng; Howard H. Yang; Deshun Hu; Tony Q. S. Quek; Zhiwei Zhao; Geyong Min (GLOBECOM, 2021)

Multi-Edge Computing Offloading for Ultra-Reliable and Low-Latency Communication. - Jiayu Chen; Chenyuan Feng; Daquan Feng; Shan Meng (WCSP, 2021)

On the Design of Federated Learning in the Mobile Edge Computing Systems. - Chenyuan Feng; Zhongyuan Zhao 001; Yidong Wang; Tony Q. S. Quek; Mugen Peng (IEEE Trans. Commun., 2021)

Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent. - Shangyin Weng; Lei Zhang 035; Daquan Feng; Chenyuan Feng; Ruiyu Wang; Paulo Valente Klaine; Muhammad Ali Imran 001 (IJCNN, 2022)

EdgeGO: A Mobile Resource-Sharing Framework for 6G Edge Computing in Massive IoT Systems. - Rong Cong; Zhiwei Zhao; Geyong Min; Chenyuan Feng; Yuhong Jiang (IEEE Internet Things J., 2022)

Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks. - Chenyuan Feng; Howard H. Yang; Deshun Hu; Zhiwei Zhao; Tony Q. S. Quek; Geyong Min (IEEE Trans. Wirel. Commun., 2022)

Federated Learning With Non-IID Data in Wireless Networks. - Zhongyuan Zhao 001; Chenyuan Feng; Wei Hong 002; Jiamo Jiang; Chao Jia; Tony Q. S. Quek; Mugen Peng (IEEE Trans. Wirel. Commun., 2022)

Service Decision Mechanism Based On Traffic Flow Prediction in the Internet of Vehicles. - Yanzhe Hu; Chenyuan Feng; Wei Jiang 020; Wenzhe Shi; Daquan Feng (ICCT, 2023)

Dynamic Partition Caching and Replacement Scheme in the Internet of Vehicles. - Jiaxin Yang; Chenyuan Feng; Wenzhe Shi; Daquan Feng (ICCT, 2023)

Privacy-Preserving Mobility-Aware Federated Collaborative Filtering Framework for Caching Prediction in Vehicular Networks. - Xinzhi Ouyang; Chenyuan Feng; Daquan Feng; Howard H. Yang (SECON, 2023)

EAPS: Edge-Assisted Privacy-Preserving Federated Prediction Systems. - Daquan Feng; Guanxin Huang; Chenyuan Feng; Bin Cao 002; Zhenzhong Wang; Xiang-Gen Xia 001 (WCNC, 2023)

Foundation Model Based Native AI Framework in 6G with Cloud-Edge-End Collaboration. - Xiang Chen 007; Zhiheng Guo; Xijun Wang 001; Howard H. Yang; Chenyuan Feng; Junshen Su; Sihui Zheng; Tony Q. S. Quek (CoRR, 2023)

Semi-Synchronous Personalized Federated Learning Over Mobile Edge Networks. - Chaoqun You; Daquan Feng; Kun Guo 002; Howard H. Yang; Chenyuan Feng; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2023)

Privacy-Preserving Hierarchical Federated Recommendation Systems. - Yucheng Chen; Chenyuan Feng; Daquan Feng (IEEE Commun. Lett., 2023)

Proactive Content Caching Scheme in Urban Vehicular Networks. - Biqian Feng; Chenyuan Feng; Daquan Feng; Yongpeng Wu 001; Xiang-Gen Xia 001 (IEEE Trans. Commun., 2023)

Hybrid Learning: When Centralized Learning Meets Federated Learning in the Mobile Edge Computing Systems. - Chenyuan Feng; Howard H. Yang; Siye Wang; Zhongyuan Zhao 001; Tony Q. S. Quek (IEEE Trans. Commun., 2023)

Spatial domain prediction of optimal MIMO beam alignment pairs in D2D networks. - Chenyuan Feng; David Gesbert (GLOBECOM, 2024)

Recommendation Algorithm Based on Federated Multi-modal Learning. - Chenyuan Feng; Zhenyu Feng; Qing Wang (ICASSP Workshops, 2024)

The Meta Distribution of the SIR in Joint Communication and Sensing Networks. - Kun Ma; Chenyuan Feng; Giovanni Geraci; Howard H. Yang (ICC Workshops, 2024)

Edge Computing Empowered Video Content Delivery Strategy in the Internet of Vehicles. - Zhenyu Feng; Jiajun Ye; Chenyuan Feng (ICCT, 2024)

SFedXSL: Semi-Synchronous Federated Cross-Sharpness Learning for UAV Swarm. - Mingxiong Zhao 001; Shihao Zhao; Chenyuan Feng; Howard H. Yang; Tony Q. S. Quek (ICCT, 2024)

Hierarchical Federated Learning: The Interplay of User Mobility and Data Heterogeneity. - Wei Dong; Howard H. Yang; Chenyuan Feng; Chen Sun (ISIT, 2024)

Harmonizing Efficiency and Precision in Semantic-Bit Coexisting Communication Systems. - Biqian Feng; Xue Han; Chenyuan Feng (WiOpt, 2024)

Large Language Models for Base Station Siting: Intelligent Deployment based on Prompt or Agent. - Yanhu Wang; Muhammad Muzammil Afzal; Zhengyang Li; Jie Zhou; Chenyuan Feng; Shuaishuai Guo; Tony Q. S. Quek (CoRR, 2024)

Trustworthy Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective. - Shuaishuai Guo; Anbang Zhang; Yanhu Wang; Chenyuan Feng; Tony Q. S. Quek (CoRR, 2024)

Decentralized Semantic Communication and Cooperative Tracking Control for a UAV Swarm over Wireless MIMO Fading Channels. - Minjie Tang; Chenyuan Feng; Tony Q. S. Quek (CoRR, 2024)

Meta-Reinforcement Learning With Mixture of Experts for Generalizable Multi Access in Heterogeneous Wireless Networks. - Zhaoyang Liu; Xijun Wang 001; Chenyuan Feng; Xinghua Sun; Wen Zhan; Xiang Chen 007 (CoRR, 2024)

Data-Driven Online Learning Algorithm for Optimal Linear Tracking Control Over Unreliable Wireless MIMO Fading Channels. - Minjie Tang; Chenyuan Feng; Tony Q. S. Quek (WCNC, 2025)

Collaborative Learning for Task-Oriented Semantic Communications: Overcoming Data Mismatch Between Transceivers. - Yanhu Wang; Ruidong Li; Changhong Wang; Jia Ye; Chenyuan Feng; Shuaishuai Guo (IEEE Open J. Commun. Soc., 2025)

Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation. - Xiang Chen 007; Shuying Gan; Chenyuan Feng; Xijun Wang 001; Tony Q. S. Quek (CoRR, 2025)

Task-oriented Age of Information for Remote Inference with Hybrid Language Models. - Shuying Gan; Xijun Wang 001; Chenyuan Feng; Chao Xu 007; Howard H. Yang; Xiang Chen 007; Tony Q. S. Quek (CoRR, 2025)

Sparsified Random Partial Model Update for Personalized Federated Learning. - Xinyi Hu; Zihan Chen 001; Chenyuan Feng; Geyong Min; Tony Q. S. Quek; Howard H. Yang (IEEE Trans. Mob. Comput., 2025)

Two-Timescale Adaptive Live Video Streaming Transmission Mechanism for Vehicular Networks. - Biqian Feng; Chenyuan Feng; Geyong Min; Tony Q. S. Quek (IEEE Trans. Veh. Technol., 2025)

Trustworthy Image Semantic Communication With GenAI: Explainablity, Controllability, And Efficiency. - Xijun Wang 001; Dongshan Ye; Chenyuan Feng; Howard H. Yang; Xiang Chen 007; Tony Q. S. Quek (IEEE Wirel. Commun., 2025)

Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning. - Chenyuan Feng; Daquan Feng; Guanxin Huang; Zuozhu Liu; Zhenzhong Wang; Xiang-Gen Xia 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

SFedXL: Semi-Synchronous Federated Learning With Cross-Sharpness and Layer-Freezing. - Mingxiong Zhao 001; Shihao Zhao; Chenyuan Feng; Howard H. Yang; Dusit Niyato; Tony Q. S. Quek (IEEE Internet Things J., 2025)

Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach. - Shujing Li; Yanhu Wang; Shuaishuai Guo; Chenyuan Feng (IEEE Trans. Cogn. Commun. Netw., 2025)

Toward 6G Native-AI Network: Foundation Model-Based Cloud-Edge-End Collaboration Framework. - Xiang Chen 007; Zhiheng Guo; Xijun Wang 001; Chenyuan Feng; Howard H. Yang; Shuangfeng Han; Xiaoyun Wang; Tony Q. S. Quek (IEEE Commun. Mag., 2025)