Zihan Chen

50 papers A* 4B 4Misc 1Journal 37Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diffusion-Enabled Secure Semantic Communication Against Eavesdropping.
IEEE Trans. Wirel. Commun.
Boxiang He, Zihan Chen, Fanggang Wang, Shilian Wang, Zhijin Qin, Tony Q. S. Quek
2026 J jnl
Energy-Efficient Online Scheduling for Wireless Powered Mobile Edge Computing Networks.
CoRR
Xingqiu He, Chaoqun You, Yuzhi Yang, Zihan Chen, Yuhang Shen, Tony Q. S. Quek, Yue Gao
2026 J jnl
Federated Inference for Heterogeneous LLM Communication and Collaboration.
CoRR
Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek, Jihong Park
2026 J jnl
Heterogeneity-aware high-efficiency federated learning with hybrid synchronous-asynchronous splitting strategy.
Neural Networks
Zijian Li, Boyuan Li, Kunyu Zhang, Bingcai Wei, Hongbo Liu, Zihan Chen, Xinqiang Xie, Tony Q. S. Quek
2025 J jnl
Adaptive Federated Learning Over the Air.
IEEE Trans. Signal Process.
Chenhao Wang, Zihan Chen, Nikolaos Pappas, Howard H. Yang, Tony Q. S. Quek, H. Vincent Poor
2025 J jnl
Cooperative Generative AI for UAV-Based Scenarios: An Intelligent Cooperative Framework.
IEEE Veh. Technol. Mag.
Longyu Zhou, Wenjiao Feng, Zihan Chen, Tianchen Ruan, Supeng Leng, Howard H. Yang, Yaru Fu, Tony Q. S. Quek
2025 J jnl
Diffusion-enabled Secure Semantic Communication Against Eavesdropping.
CoRR
Boxiang He, Zihan Chen, Fanggang Wang, Shilian Wang, Zhijin Qin, Tony Q. S. Quek
2025 J jnl
Federated Learning-Assisted Predictive Beamforming for Extremely Large-Scale Antenna Array Systems With Rate-Splitting Multiple Access.
IEEE J. Sel. Top. Signal Process.
Shengyu Zhang, Yijie Mao, Zihan Chen, Bruno Clerckx, Tony Q. S. Quek
2025 J jnl
Hyperion: Hierarchical Scheduling for Parallel LLM Acceleration in Multi-tier Networks.
CoRR
Mulei Ma, Xinyi Xu, Minrui Xu, Zihan Chen, Yang Yang, Tony Q. S. Quek
2025 J jnl
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences.
CoRR
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi, Ahmed Elbakary, Alexandros Nikou, Ali Maatouk, Ali Mokh, Amirreza Kazemi, Antonio De Domenico, Athanasios Karapantelakis, Bo Cheng, Bo Yang, Bohao Wang, Carlo Fischione, Chao Zhang, Chaouki Ben Issaid, Chau Yuen, Chenghui Peng, Chongwen Huang, Christina Chaccour, Christo Kurisummoottil Thomas, Dheeraj Sharma, Dimitris Kalogiros, Dusit Niyato, Eli De Poorter, Elissa Mhanna, Emilio Calvanese Strinati, Faouzi Bader, Fathi Abdeldayem, Fei Wang, Fenghao Zhu, Gianluca Fontanesi, Giovanni Geraci, Haibo Zhou, Hakimeh Purmehdi, Hamed Ahmadi, Hang Zou, Hongyang Du, Hoon Lee, Howard H. Yang, Iacopo Poli, Igor Carron, Ilias Chatzistefanidis, Inkyu Lee, Ioannis Pitsiorlas, Jaron Fontaine, Jiajun Wu, Jie Zeng, Jinan Li, Jinane Karam, Johny Gemayel, Juan Deng, Julien Frison, Kaibin Huang, Kehai Qiu, Keith Ball, Kezhi Wang, Kun Guo, Leandros Tassiulas, Lecorve Gwenole, Liexiang Yue, Lina Bariah, Louis Powell, Marcin Dryjanski, Maria Amparo Canaveras Galdon, Marios Kountouris, Maryam Hafeez, Maxime Elkael, Mehdi Bennis, Mehdi Ahmed Boudjelli, Meiling Dai, Mérouane Debbah, Michele Polese, Mohamad Assaad, Mohamed Benzaghta, Mohammad Al Refai, Moussab Djerrab, Mubeen Syed, Muhammad Amir, Na Yan, Najla Alkaabi, Nan Li, Nassim Sehad, Navid Nikaein, Omar Hashash, Pawel Sroka, Qianqian Yang, Qiyang Zhao, Rasoul Nikbakht Silab, Rex Ying, Roberto Morabito, Rongpeng Li, Ryad Madi, Salah Eddine El Ayoubi, Salvatore D'Oro, Samson Lasaulce, Serveh Shalmashi, Sige Liu, Sihem Cherrared, Swarna Bindu Chetty, Swastika Dutta, Syed A. R. Zaidi, Tianjiao Chen, Timothy Murphy, Tommaso Melodia, Tony Q. S. Quek, Vishnu Ram, Walid Saad, Wassim Hamidouche, Weilong Chen, Xiaoou Liu, Xiaoxue Yu, Xijun Wang, Xingyu Shang, Xinquan Wang, Xuelin Cao, Yang Su, Yanping Liang, Yansha Deng, Yifan Yang, Yingping Cui, Yu Sun, Yuxuan Chen, Yvan Pointurier, Zeinab Nehme, Zeinab Nezami, Zhaohui Yang, Zhaoyang Zhang, Zhe Liu, Zhenyu Yang, Zhu Han, Zhuang Zhou, Zihan Chen, Zirui Chen, Zitao Shuai
2025 B conf
Model-Heterogeneous Prototypical Federated Learning Over the Air.
WiOpt
Chuhan Sun, Zihan Chen, Liyinglan Liu, Tony Q. S. Quek, Howard H. Yang
2025 J jnl
Personalized Federated Learning Over the Air.
IEEE Trans. Wirel. Commun.
Zeshen Li, Zihan Chen, Tony Q. S. Quek, Howard H. Yang
2025 B conf
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping.
WiOpt
Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong, Bikramjit Das, Tony Q. S. Quek, Howard H. Yang
2025 J jnl
Sparsified Random Partial Model Update for Personalized Federated Learning.
IEEE Trans. Mob. Comput.
Xinyi Hu, Zihan Chen, Chenyuan Feng, Geyong Min, Tony Q. S. Quek, Howard H. Yang
2025 J jnl
Towards Green and Sustainable AI-Native RAN: From Prediction to Live Testbed Deployment.
J. Commun. Inf. Networks
Chenyuan Feng, Shuaishuai Guo, Mao Van Ngo, Zihan Chen, Howard H. Yang, Tony Q. S. Quek
2025 J jnl
Towards Secure Semantic Transmission In the Era of GenAI: A Diffusion-based Framework.
CoRR
Boxiang He, Zihan Chen, Junshan Luo, Chuanhong Liu, Shilian Wang, Fanggang Wang, Tony Q. S. Quek
2025 J jnl
Zeroth-Order Over-the-Air Federated Large Model Tuning Over Edge Networks.
IEEE Wirel. Commun. Lett.
Zihan Chen, Howard H. Yang, Zeshen Li, Jihong Park, Tony Q. S. Quek
2024 J jnl
Adaptive Federated Learning Over the Air.
CoRR
Chenhao Wang, Zihan Chen, Nikolaos Pappas, Howard H. Yang, Tony Q. S. Quek, H. Vincent Poor
2024 J jnl
Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning.
IEEE Trans. Mob. Comput.
Zijian Li, Zihan Chen, Xiaohui Wei, Shang Gao, Hengshan Yue, Zhewen Xu, Tony Q. S. Quek
2024 A* conf
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data.
ICLR
Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu
2024 J jnl
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data.
CoRR
Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Jian Wu, Wanlu Liu, Joey Tianyi Zhou, Howard Hao Yang, Zuozhu Liu
2024 — conf
Personalizing Semantic Communication: A Foundation Model Approach.
SPAWC
Zihan Chen, Howard H. Yang, Kai Fong Ernest Chong, Tony Q. S. Quek
2024 J jnl
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping.
CoRR
Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong, Bikramjit Das, Tony Q. S. Quek, Howard H. Yang
2024 J jnl
Secure Over-the-Air Computation for Wireless Sensor Network.
IEEE Commun. Lett.
Boxiang He, Fanggang Wang, Zihan Chen, Guangyang Zhang, Tony Q. S. Quek
2024 J jnl
Spectral Co-Distillation for Personalized Federated Learning.
CoRR
Zihan Chen, Howard H. Yang, Tony Q. S. Quek, Kai Fong Ernest Chong
2024 J jnl
The Role of Federated Learning in a Wireless World with Foundation Models.
IEEE Wirel. Commun.
Zihan Chen, Howard H. Yang, Y. C. Tay, Kai Fong Ernest Chong, Tony Q. S. Quek
2024 J jnl
Unleashing Edgeless Federated Learning With Analog Transmissions.
IEEE Trans. Signal Process.
Howard H. Yang, Zihan Chen, Tony Q. S. Quek
2023 — conf
Adaptive Gradient Methods For Over-the-Air Federated Learning.
SPAWC
Chenhao Wang, Zihan Chen, Howard H. Yang, Nikolaos Pappas
2023 J jnl
Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning.
IEEE Commun. Mag.
Zihan Chen, Howard H. Yang, Tony Q. S. Quek
2023 J jnl
Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning.
CoRR
Zihan Chen, Howard H. Yang, Tony Q. S. Quek
2023 A* conf
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer.
NeurIPS
Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard H. Yang, Zuozhu Liu
2023 J jnl
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer.
CoRR
Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hao Yang, Zuozhu Liu
2023 B conf
Federated Learning with Partial Gradients Over-the-Air.
SECON
Wendi Wang, Zihan Chen, Nikolaos Pappas, Howard H. Yang
2023 Misc conf
Personalizing Federated Learning with Over-The-Air Computations.
ICASSP
Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek
2023 J jnl
Personalizing Federated Learning with Over-the-Air Computations.
CoRR
Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek
2023 A* conf
Spectral Co-Distillation for Personalized Federated Learning.
NeurIPS
Zihan Chen, Howard H. Yang, Tony Q. S. Quek, Kai Fong Ernest Chong
2023 J jnl
The Role of Federated Learning in a Wireless World with Foundation Models.
CoRR
Zihan Chen, Howard H. Yang, Y. C. Tay, Kai Fong Ernest Chong, Tony Q. S. Quek
2023 — conf
Value of Information and Timing-aware Scheduling for Federated Learning.
CSCN
Muhammad Azeem Khan, Howard H. Yang, Zihan Chen, Antonio Iera, Nikolaos Pappas
2023 J jnl
Value of Information and Timing-aware Scheduling for Federated Learning.
CoRR
Muhammad Azeem Khan, Howard H. Yang, Zihan Chen, Antonio Iera, Nikolaos Pappas
2022 J jnl
Dynamic Scheduling for Heterogeneous Federated Learning in Private 5G Edge Networks.
IEEE J. Sel. Top. Signal Process.
Kun Guo, Zihan Chen, Howard H. Yang, Tony Q. S. Quek
2022 A* conf
FedCorr: Multi-Stage Federated Learning for Label Noise Correction.
CVPR
Jingyi Xu, Zihan Chen, Tony Q. S. Quek, Kai Fong Ernest Chong
2022 J jnl
FedCorr: Multi-Stage Federated Learning for Label Noise Correction.
CoRR
Jingyi Xu, Zihan Chen, Tony Q. S. Quek, Kai Fong Ernest Chong
2022 B conf
HPFL-CN: Communication-Efficient Hierarchical Personalized Federated Edge Learning via Complex Network Feature Clustering.
SECON
Zijian Li, Zihan Chen, Xiaohui Wei, Shang Gao, Chenghao Ren, Tony Q. S. Quek
2022 J jnl
Joint Scheduling and Resource Allocation for Hierarchical Federated Edge Learning.
IEEE Trans. Wirel. Commun.
Wanli Wen, Zihan Chen, Howard H. Yang, Wenchao Xia, Tony Q. S. Quek
2022 J jnl
Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference.
IEEE J. Sel. Top. Signal Process.
Howard H. Yang, Zihan Chen, Tony Q. S. Quek, H. Vincent Poor
2022 J jnl
Server Free Wireless Federated Learning: Architecture, Algorithm, and Analysis.
CoRR
Howard H. Yang, Zihan Chen, Tony Q. S. Quek
2022 J jnl
Towards Federated Long-Tailed Learning.
CoRR
Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek, Zuozhu Liu
2021 J jnl
Dynamic Attention-based Communication-Efficient Federated Learning.
CoRR
Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek
2021 — conf
On the Convergence Rate of Federated Learning over Unreliable Networks.
ComComAP
Chenyuan Feng, Howard H. Yang, Zihan Chen, Daquan Feng, Zhenzhong Wang, Tony Q. S. Quek
2021 J jnl
Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference.
CoRR
Howard H. Yang, Zihan Chen, Tony Q. S. Quek, H. Vincent Poor