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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
WCNC 2021
Published:
Accepted paper with topic in intelligent transportation system. 
ICC 2023
Published:
Dining, Rome, 2023. 
Ph.D Defense
Published:
Successful Defense. 
HK6GWS 2024
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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.