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Zixin Wang
Zixin Wang
Post-doctoral Fellow, Department of ECE, The Hong Kong University of Science and Technology
Verified email at ust.hk - Homepage
Title
Cited by
Cited by
Year
Trustworthy federated learning via blockchain
Z Yang, Y Shi, Y Zhou, Z Wang, K Yang
IEEE Internet of Things Journal 10 (1), 92-109, 2022
422022
Machine learning for large-scale optimization in 6g wireless networks
Y Shi, L Lian, Y Shi, Z Wang, Y Zhou, L Fu, L Bai, J Zhang, W Zhang
IEEE Communications Surveys & Tutorials, 2023
302023
Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning
Y Zou, Z Wang, X Chen, H Zhou, Y Zhou
IEEE Transactions on Wireless Communications ( Early Access ), 2022
222022
GAN and Multi-Agent DRL Based Decentralized Traffic Light Signal Control
Z Wang, H Zhu, M He, Y Zhou, X Luo, N Zhang
IEEE Transactions on Vehicular Technology 71 (2), 1333-1348, 2021
222021
A graph neural network learning approach to optimize RIS-assisted federated learning
Z Wang, Y Zhou, Y Zou, Q An, Y Shi, M Bennis
IEEE Transactions on Wireless Communications, 2023
152023
Intelligent traffic network control in the era of internet of vehicles
H Zhu, Z Wang, F Yang, Y Zhou, X Luo
IEEE Transactions on Vehicular Technology 70 (10), 9787-9802, 2021
152021
Decentralized multi-agent power control in wireless networks with frequency reuse
Z Wang, J Zong, Y Zhou, Y Shi, VWS Wong
IEEE Transactions on Communications 70 (3), 1666-1681, 2021
102021
Joint traffic signal and connected vehicle control in IoV via deep reinforcement learning
Z Wang, H Zhu, Y Zhou, X Luo
2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021
62021
Global traffic state recovery via local observations with generative adversarial networks
M He, X Luo, Z Wang, F Yang, H Qian, C Hua
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
42020
Energy-Efficient Federated Learning Over Hierarchical Aerial Wireless Networks
Z Li, Z Wang, Z Wang, Y Zhou
2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023
2023
Learning to Beamform for Dual-Functional MIMO Radar-Communication Systems
Y Zhao, Z Wang, Z Wang, X Chen, Y Zhou
ICC 2023-IEEE International Conference on Communications, 3572-3577, 2023
2023
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