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Hao Ye
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Year
Power of deep learning for channel estimation and signal detection in OFDM systems
H Ye, GY Li, BH Juang
IEEE Wireless Communications Letters 7 (1), 114-117, 2017
17442017
Deep reinforcement learning based resource allocation for V2V communications
H Ye, GY Li, BHF Juang
IEEE Transactions on Vehicular Technology 68 (4), 3163-3173, 2019
8302019
Deep learning in physical layer communications
Z Qin, H Ye, GY Li, BHF Juang
IEEE Wireless Communications 26 (2), 93-99, 2019
5802019
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning
L Liang, H Ye, GY Li
IEEE Journal on Selected Areas in Communications 37 (10), 2282-2292, 2019
3692019
Machine learning for vehicular networks: Recent advances and application examples
H Ye, L Liang, GY Li, JB Kim, L Lu, M Wu
ieee vehicular technology magazine 13 (2), 94-101, 2018
3092018
Deep learning-based end-to-end wireless communication systems with conditional GANs as unknown channels
H Ye, L Liang, GY Li, BH Juang
IEEE Transactions on Wireless Communications 19 (5), 3133-3143, 2020
3062020
Toward intelligent vehicular networks: A machine learning framework
L Liang, H Ye, GY Li
IEEE Internet of Things Journal 6 (1), 124-135, 2018
2662018
Channel agnostic end-to-end learning based communication systems with conditional GAN
H Ye, GY Li, BHF Juang, K Sivanesan
2018 IEEE Globecom Workshops (GC Wkshps), 1-5, 2018
2362018
Deep-learning-based wireless resource allocation with application to vehicular networks
L Liang, H Ye, G Yu, GY Li
Proceedings of the IEEE 108 (2), 341-356, 2019
2322019
Federated learning and wireless communications
Z Qin, GY Li, H Ye
IEEE Wireless Communications 28 (5), 134-140, 2021
772021
Decentralized federated learning with unreliable communications
H Ye, L Liang, GY Li
IEEE journal of selected topics in signal processing 16 (3), 487-500, 2022
762022
Deep Learning Based End-to-End Wireless Communication Systems Without Pilots.
H Ye, GY Li, BH Juang
IEEE Trans. Cogn. Commun. Netw. 7 (3), 702-714, 2021
642021
Initial results on deep learning for joint channel equalization and decoding
H Ye, GY Li
2017 IEEE 86th vehicular technology conference (VTC-Fall), 1-5, 2017
642017
Learn to compress CSI and allocate resources in vehicular networks
L Wang, H Ye, L Liang, GY Li
IEEE Transactions on Communications 68 (6), 3640-3653, 2020
462020
Deep reinforcement learning based distributed resource allocation for V2V broadcasting
H Ye, GY Li
2018 14th International Wireless Communications & Mobile Computing …, 2018
342018
Circular convolutional auto-encoder for channel coding
H Ye, L Liang, GY Li
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
292019
Resource allocation based on graph neural networks in vehicular communications
Z He, L Wang, H Ye, GY Li, BHF Juang
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-5, 2020
282020
Deep over-the-air computation
H Ye, GY Li, BHF Juang
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
242020
Multi-agent reinforcement learning for spectrum sharing in vehicular networks
L Liang, H Ye, GY Li
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
112019
Winert: Towards neural ray tracing for wireless channel modelling and differentiable simulations
T Orekondy, P Kumar, S Kadambi, H Ye, J Soriaga, A Behboodi
The Eleventh International Conference on Learning Representations, 2022
102022
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Articles 1–20