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Zihan Chen 0001
Person information
- affiliation: Singapore University of Technology and Design, Singapore
Other persons with the same name
- Zihan Chen — disambiguation page
- Zihan Chen 0002
— University of Virginia, Charlottesville, VA, USA
- Zihan Chen 0003
- Zihan Chen 0004 — Johns Hopkins University, Baltimore, MD, USA
- Zihan Chen 0005
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2020 – today
- 2026
- [j17]Zijian Li
Heterogeneity-aware high-efficiency federated learning with hybrid synchronous-asynchronous splitting strategy. Neural Networks 193: 108038 (2026) - [j16]Boxiang He
Diffusion-Enabled Secure Semantic Communication Against Eavesdropping. IEEE Trans. Wirel. Commun. 25: 13430-13446 (2026) - [i20]Xingqiu He, Chaoqun You, Yuzhi Yang, Zihan Chen, Yuhang Shen, Tony Q. S. Quek, Yue Gao:
Energy-Efficient Online Scheduling for Wireless Powered Mobile Edge Computing Networks. CoRR abs/2603.07984 (2026) - [i19]Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek, Jihong Park:
Federated Inference for Heterogeneous LLM Communication and Collaboration. CoRR abs/2603.28772 (2026) - 2025
- [j15]Chenyuan Feng, Shuaishuai Guo, Mao Van Ngo, Zihan Chen, Howard H. Yang, Tony Q. S. Quek:
Towards Green and Sustainable AI-Native RAN: From Prediction to Live Testbed Deployment. J. Commun. Inf. Networks 10(4): 326-339 (2025) - [j14]Shengyu Zhang
Federated Learning-Assisted Predictive Beamforming for Extremely Large-Scale Antenna Array Systems With Rate-Splitting Multiple Access. IEEE J. Sel. Top. Signal Process. 19(2): 461-476 (2025) - [j13]Xinyi Hu
Sparsified Random Partial Model Update for Personalized Federated Learning. IEEE Trans. Mob. Comput. 24(4): 3076-3091 (2025) - [j12]Chenhao Wang
Adaptive Federated Learning Over the Air. IEEE Trans. Signal Process. 73: 3187-3202 (2025) - [j11]Zeshen Li, Zihan Chen
Personalized Federated Learning Over the Air. IEEE Trans. Wirel. Commun. 24(11): 9509-9523 (2025) - [j10]Longyu Zhou
Cooperative Generative AI for UAV-Based Scenarios: An Intelligent Cooperative Framework. IEEE Veh. Technol. Mag. 20(2): 44-52 (2025) - [j9]Zihan Chen
Zeroth-Order Over-the-Air Federated Large Model Tuning Over Edge Networks. IEEE Wirel. Commun. Lett. 14(9): 3002-3006 (2025) - [c13]Chuhan Sun, Zihan Chen, Liyinglan Liu, Tony Q. S. Quek, Howard H. Yang:
Model-Heterogeneous Prototypical Federated Learning Over the Air. WiOpt 2025: 76-81 - [c12]Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong, Bikramjit Das
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping. WiOpt 2025: 89-96 - [i18]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
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. CoRR abs/2503.04184 (2025) - [i17]Boxiang He, Zihan Chen, Fanggang Wang, Shilian Wang, Zhijin Qin, Tony Q. S. Quek:
Diffusion-enabled Secure Semantic Communication Against Eavesdropping. CoRR abs/2505.05018 (2025) - [i16]Boxiang He, Zihan Chen, Junshan Luo, Chuanhong Liu, Shilian Wang, Fanggang Wang, Tony Q. S. Quek:
Towards Secure Semantic Transmission In the Era of GenAI: A Diffusion-based Framework. CoRR abs/2505.05724 (2025) - [i15]Mulei Ma, Xinyi Xu, Minrui Xu, Zihan Chen, Yang Yang, Tony Q. S. Quek:
Hyperion: Hierarchical Scheduling for Parallel LLM Acceleration in Multi-tier Networks. CoRR abs/2511.14450 (2025) - 2024
- [j8]Boxiang He
Secure Over-the-Air Computation for Wireless Sensor Network. IEEE Commun. Lett. 28(11): 2503-2507 (2024) - [j7]Zijian Li
Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning. IEEE Trans. Mob. Comput. 23(12): 14852-14870 (2024) - [j6]Howard H. Yang
Unleashing Edgeless Federated Learning With Analog Transmissions. IEEE Trans. Signal Process. 72: 774-791 (2024) - [j5]Zihan Chen, Howard H. Yang, Y. C. Tay, Kai Fong Ernest Chong, Tony Q. S. Quek
The Role of Federated Learning in a Wireless World with Foundation Models. IEEE Wirel. Commun. 31(3): 42-49 (2024) - [c11]Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu:
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. ICLR 2024 - [c10]Zihan Chen, Howard H. Yang, Kai Fong Ernest Chong, Tony Q. S. Quek
Personalizing Semantic Communication: A Foundation Model Approach. SPAWC 2024: 846-850 - [i14]Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Jian Wu, Wanlu Liu, Joey Tianyi Zhou, Howard Hao Yang, Zuozhu Liu:
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. CoRR abs/2401.08977 (2024) - [i13]Zihan Chen, Howard H. Yang, Tony Q. S. Quek, Kai Fong Ernest Chong:
Spectral Co-Distillation for Personalized Federated Learning. CoRR abs/2401.17124 (2024) - [i12]Chenhao Wang, Zihan Chen, Nikolaos Pappas, Howard H. Yang, Tony Q. S. Quek, H. Vincent Poor:
Adaptive Federated Learning Over the Air. CoRR abs/2403.06528 (2024) - [i11]Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong, Bikramjit Das
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping. CoRR abs/2409.15100 (2024) - 2023
- [j4]Zihan Chen, Howard H. Yang, Tony Q. S. Quek
Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning. IEEE Commun. Mag. 61(12): 62-68 (2023) - [c9]Muhammad Azeem Khan, Howard H. Yang, Zihan Chen, Antonio Iera, Nikolaos Pappas:
Value of Information and Timing-aware Scheduling for Federated Learning. CSCN 2023: 94-99 - [c8]Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek:
Personalizing Federated Learning with Over-The-Air Computations. ICASSP 2023: 1-5 - [c7]Zihan Chen, Howard H. Yang, Tony Q. S. Quek, Kai Fong Ernest Chong:
Spectral Co-Distillation for Personalized Federated Learning. NeurIPS 2023 - [c6]Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard H. Yang, Zuozhu Liu:
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. NeurIPS 2023 - [c5]Wendi Wang
Federated Learning with Partial Gradients Over-the-Air. SECON 2023: 107-111 - [c4]Chenhao Wang, Zihan Chen, Howard H. Yang, Nikolaos Pappas:
Adaptive Gradient Methods For Over-the-Air Federated Learning. SPAWC 2023: 351-355 - [i10]Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek
Personalizing Federated Learning with Over-the-Air Computations. CoRR abs/2302.12509 (2023) - [i9]Zihan Chen, Howard H. Yang, Tony Q. S. Quek:
Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning. CoRR abs/2306.10299 (2023) - [i8]Zihan Chen, Howard H. Yang, Y. C. Tay, Kai Fong Ernest Chong, Tony Q. S. Quek
The Role of Federated Learning in a Wireless World with Foundation Models. CoRR abs/2310.04003 (2023) - [i7]Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hao Yang, Zuozhu Liu:
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. CoRR abs/2310.07587 (2023) - [i6]Muhammad Azeem Khan, Howard H. Yang, Zihan Chen, Antonio Iera, Nikolaos Pappas:
Value of Information and Timing-aware Scheduling for Federated Learning. CoRR abs/2312.10512 (2023) - 2022
- [j3]Kun Guo
Dynamic Scheduling for Heterogeneous Federated Learning in Private 5G Edge Networks. IEEE J. Sel. Top. Signal Process. 16(1): 26-40 (2022) - [j2]Howard H. Yang
Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference. IEEE J. Sel. Top. Signal Process. 16(3): 406-419 (2022) - [j1]Wanli Wen
Joint Scheduling and Resource Allocation for Hierarchical Federated Edge Learning. IEEE Trans. Wirel. Commun. 21(8): 5857-5872 (2022) - [c3]Jingyi Xu
FedCorr: Multi-Stage Federated Learning for Label Noise Correction. CVPR 2022: 10174-10183 - [c2]Zijian Li
HPFL-CN: Communication-Efficient Hierarchical Personalized Federated Edge Learning via Complex Network Feature Clustering. SECON 2022: 325-333 - [i5]Jingyi Xu, Zihan Chen, Tony Q. S. Quek
FedCorr: Multi-Stage Federated Learning for Label Noise Correction. CoRR abs/2204.04677 (2022) - [i4]Howard H. Yang, Zihan Chen, Tony Q. S. Quek
Server Free Wireless Federated Learning: Architecture, Algorithm, and Analysis. CoRR abs/2204.07609 (2022) - [i3]Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek
Towards Federated Long-Tailed Learning. CoRR abs/2206.14988 (2022) - 2021
- [c1]Chenyuan Feng
On the Convergence Rate of Federated Learning over Unreliable Networks. ComComAP 2021: 59-64 - [i2]Howard H. Yang, Zihan Chen, Tony Q. S. Quek, H. Vincent Poor:
Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference. CoRR abs/2107.11733 (2021) - [i1]Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek:
Dynamic Attention-based Communication-Efficient Federated Learning. CoRR abs/2108.05765 (2021)
Coauthor Index
aka: Howard Hao Yang
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