Zihan Chen

According to our database, Zihan Chen authored at least 29 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cooperative Generative AI for UAV-Based Scenarios: An Intelligent Cooperative Framework.

Longyu Zhou, Wenjiao Feng, Zihan Chen, Tianchen Ruan, Supeng Leng, Howard H. Yang, Yaru Fu, Tony Q. S. Quek

IEEE Veh. Technol. Mag., June, 2025

Towards Secure Semantic Transmission In the Era of GenAI: A Diffusion-based Framework.

Boxiang He, Zihan Chen, Junshan Luo, Chuanhong Liu, Shilian Wang, Fanggang Wang, Tony Q. S. Quek

CoRR, May, 2025

Diffusion-enabled Secure Semantic Communication Against Eavesdropping.

Boxiang He, Zihan Chen, Fanggang Wang, Shilian Wang, Zhijin Qin, Tony Q. S. Quek

CoRR, May, 2025

Sparsified Random Partial Model Update for Personalized Federated Learning.

Xinyi Hu, Zihan Chen, Chenyuan Feng, Geyong Min, Tony Q. S. Quek, Howard H. Yang

IEEE Trans. Mob. Comput., April, 2025

Federated Learning-Assisted Predictive Beamforming for Extremely Large-Scale Antenna Array Systems With Rate-Splitting Multiple Access.

Shengyu Zhang, Yijie Mao, Zihan Chen, Bruno Clerckx, Tony Q. S. Quek

IEEE J. Sel. Top. Signal Process., March, 2025

2024

Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning.

Zijian Li, Zihan Chen, Xiaohui Wei, Shang Gao, Hengshan Yue, Zhewen Xu, Tony Q. S. Quek

IEEE Trans. Mob. Comput., December, 2024

Secure Over-the-Air Computation for Wireless Sensor Network.

Boxiang He, Fanggang Wang, Zihan Chen, Guangyang Zhang, Tony Q. S. Quek

IEEE Commun. Lett., November, 2024

The Role of Federated Learning in a Wireless World with Foundation Models.

Zihan Chen, Howard H. Yang, Y. C. Tay, Kai Fong Ernest Chong, Tony Q. S. Quek

IEEE Wirel. Commun., June, 2024

Unleashing Edgeless Federated Learning With Analog Transmissions.

Howard H. Yang, Zihan Chen, Tony Q. S. Quek

IEEE Trans. Signal Process., 2024

Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping.

Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong, Bikramjit Das, Tony Q. S. Quek, Howard H. Yang

CoRR, 2024

Adaptive Federated Learning Over the Air.

Chenhao Wang, Zihan Chen, Nikolaos Pappas, Howard H. Yang, Tony Q. S. Quek, H. Vincent Poor

CoRR, 2024

Personalizing Semantic Communication: A Foundation Model Approach.

Zihan Chen, Howard H. Yang, Kai Fong Ernest Chong, Tony Q. S. Quek

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data.

Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning.

Zihan Chen, Howard H. Yang, Tony Q. S. Quek

IEEE Commun. Mag., December, 2023

Adaptive Gradient Methods For Over-the-Air Federated Learning.

Chenhao Wang, Zihan Chen, Howard H. Yang, Nikolaos Pappas

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Federated Learning with Partial Gradients Over-the-Air.

Wendi Wang, Zihan Chen, Nikolaos Pappas, Howard H. Yang

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer.

Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard H. Yang, Zuozhu Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spectral Co-Distillation for Personalized Federated Learning.

Zihan Chen, Howard H. Yang, Tony Q. S. Quek, Kai Fong Ernest Chong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Personalizing Federated Learning with Over-The-Air Computations.

Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek

Proceedings of the IEEE International Conference on Acoustics, 2023

Value of Information and Timing-aware Scheduling for Federated Learning.

Muhammad Azeem Khan, Howard H. Yang, Zihan Chen, Antonio Iera, Nikolaos Pappas

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

2022

Joint Scheduling and Resource Allocation for Hierarchical Federated Edge Learning.

Wanli Wen, Zihan Chen, Howard H. Yang, Wenchao Xia, Tony Q. S. Quek

IEEE Trans. Wirel. Commun., 2022

Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference.

Howard H. Yang, Zihan Chen, Tony Q. S. Quek, H. Vincent Poor

IEEE J. Sel. Top. Signal Process., 2022

Dynamic Scheduling for Heterogeneous Federated Learning in Private 5G Edge Networks.

Kun Guo, Zihan Chen, Howard H. Yang, Tony Q. S. Quek

IEEE J. Sel. Top. Signal Process., 2022

Towards Federated Long-Tailed Learning.

Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek, Zuozhu Liu

CoRR, 2022

Server Free Wireless Federated Learning: Architecture, Algorithm, and Analysis.

Howard H. Yang, Zihan Chen, Tony Q. S. Quek

CoRR, 2022

HPFL-CN: Communication-Efficient Hierarchical Personalized Federated Edge Learning via Complex Network Feature Clustering.

Zijian Li, Zihan Chen, Xiaohui Wei, Shang Gao, Chenghao Ren, Tony Q. S. Quek

Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

FedCorr: Multi-Stage Federated Learning for Label Noise Correction.

Jingyi Xu, Zihan Chen, Tony Q. S. Quek, Kai Fong Ernest Chong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Dynamic Attention-based Communication-Efficient Federated Learning.

Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek

CoRR, 2021

On the Convergence Rate of Federated Learning over Unreliable Networks.

Chenyuan Feng, Howard H. Yang, Zihan Chen, Daquan Feng, Zhenzhong Wang, Tony Q. S. Quek

Proceedings of the Computing, Communications and IoT Applications, ComComAp 2021, Shenzhen, 2021