WCNC 2021
Published:
Accepted paper with topic in intelligent transportation system. 
Posts by Collection
portfolio
ICC 2023
Published:
Dining, Rome, 2023. 
Ph.D Defense
Published:
Successful Defense. 
HK6GWS 2024
Published:
Our group in HKUST. 
publications
Global Traffic State Recovery VIA Local Observations with Generative Adversarial Networks
Published in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), 2020
Recommended citation: M. He, X. Luo, Z. Wang, F. Yang, H. Qian and C. Hua, " Global Traffic State Recovery VIA Local Observations with Generative Adversarial Networks ". Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Barcelona, Spain, 2020.,
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Intelligent Traffic Network Control in the Era of Internet of Vehicles
Published in IEEE Trans. Veh. Technol., 2021
Recommended citation: H. Zhu, Z. Wang, F. Yang, Y. Zhou and X. Luo. "Intelligent Traffic Network Control in the Era of Internet of Vehicles" IEEE Trans. Veh. Technol.. vol. 70, no. 10, pp. 9787-9802, Oct. 2021.
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GAN and Multi-Agent DRL based Decentralized Traffic Light Signal Control
Published in IEEE Trans. Veh. Technol, 2021
Recommended citation: Z. Wang, H. Zhu, M. He, Y. Zhou, X. Luo, and N. Zhang. "GAN and Multi-Agent DRL based Decentralized Traffic Light Signal Control." IEEE Trans. Veh. Technol. vol. 71, no. 2, pp. 1333-1348, Feb. 2022.
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Decentralized Multi-Agent Power Control in Wireless Networks with Frequency Reuse
Published in IEEE Trans. Commun., 2021
Recommended citation: Z. Wang, J. Zong, Y. Zhou, Y. Shi, and V. W.S. Wong. "Decentralized Multi-Agent Power Control in Wireless Networks with Frequency Reuse" IEEE Trans. Commun. vol. 70, no. 3, pp. 1666-1681, Mar. 2022.
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Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning
Published in IEEE Trans. Wireless Commun., 2022
Recommended citation: Y. Zou, Z. Wang, X. Chen, H. Zhou and Y. Zhou. "Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning" IEEE Trans. Wireless Commun.. vol. 22, no. 1, pp. 270-285, Jan. 2023.
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Trustworthy Federated Learning via Blockchain
Published in IEEE Internet Things J., 2022
Recommended citation: Z. Yang, Y. Shi, Y. Zhou, Z. Wang and K. Yang. "Trustworthy Federated Learning via Blockchain" IEEE Internet Things J.. vol. 10, no. 1, pp. 92-109, 1 Jan.1, 2023.
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A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning
Published in IEEE Trans. Commun., 2023
Recommended citation: Z. Wang, Y. Zou, Q. An, Y. Zhou, Y. Shi, and M. Bennis. "A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning" IEEE Trans. Commun. vol. 22, no. 9, pp. 6092-6106, Sept. 2023.
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Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Published in IEEE Commun. Surveys Tuts., 2023
Recommended citation: Y. Shi, L. Lian, Y. Shi, Z. Wang, Y. Zhou, L. Fu, L. Bai, J. Zhang, W. Zhang. "Machine Learning for Large-Scale Optimization in 6G Wireless Networks". IEEE Commun. Surveys Tuts., vol. 25, no. 4, pp. 2088-2132, Fourthquarter 2023.,
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Learning to Beamform for Dual-Functional MIMO Radar-Communication Systems
Published in IEEE Int.l Conf. Commun., 2023
Recommended citation: Y. Zhao, Z. Wang, Z. Wang, X. Chen and Y. Zhou. "Learning to Beamform for Dual-Functional MIMO Radar-Communication Systems" IEEE Int.l Conf. Commun.. Rome, Italy, Jun., 2023, pp. 3572-3577.
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Scalable Hybrid Beamforming for Multi-User MISO Systems: A Graph Neural Network Approach
Published in IEEE Trans. Wireless Commun., 2024
Recommended citation: S. Wan, Z. Wang and Y. Zhou. "Scalable Hybrid Beamforming for Multi-User MISO Systems: A Graph Neural Network Approach" IEEE Trans. Wireless Commun.. May, 2024.
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Graph Attention-based MADRL for Access Control and Resource Allocation in Wireless Networked Control Systems
Published in IEEE Trans. Wireless Commun., 2024
Recommended citation: Z. Wang, M. Bennis, and Y. Zhou. "Graph Attention-based MADRL for Access Control and Resource Allocation in Wireless Networked Control Systems." IEEE Trans. Wireless Commun.. 2024.
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Over-the-Air Federated Graph Learning
Published in IEEE Trans. Wireless Commun., 2024
Recommended citation: Zixin Wang, Y. Zhou, Y. Shi. "Over-the-Air Federated Graph Learning" IEEE Trans. Wireless Commun. early access, Oct. 2024.
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Over-the-Air Computation Assisted Federated Learning With Progressive Training
Published in IEEE Int.l Conf. Commun., 2024
Recommended citation: G. Gao, Q. An, Z. Wang, Z. Wang, Y. Shi, and Y. Zhou. "Over-the-Air Computation Assisted Federated Learning With Progressive Training" IEEE Int.l Conf. Commun.. Denver, US, Jun., 2024.
Federated Low-Rank Adaptation for Large Language Model Fine-Tuning Over Wireless Networks
Published in IEEE GLOBECOM, 2024
Recommended citation: Z. Wang, Y. Zhou, Y. Shi, and K. B. Letaief. "Federated Low-Rank Adaptation for Large Language Model Fine-Tuning Over Wireless Networks" IEEE IEEE GLOBECOM.. Cape Town, South Africa, Dec., 2024.
Energy-Efficient Federated Learning Over Hierarchical Aerial Wireless Networks
Published in IEEE PRMIC, 2024
Recommended citation: Z. Li, Z. Wang, Z. Wang and Y. Zhou. "Energy-Efficient Federated Learning Over Hierarchical Aerial Wireless Networks" IEEE PRMIC. Toronto, ON, Canada, Sept., 2023, pp. 1-6.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.