| 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 | 1825 | 2017 |
| 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 | 877 | 2019 |
| Deep learning in physical layer communications Z Qin, H Ye, GY Li, BHF Juang IEEE Wireless Communications 26 (2), 93-99, 2019 | 611 | 2019 |
| 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 | 405 | 2019 |
| 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 | 327 | 2020 |
| 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 | 327 | 2018 |
| Toward intelligent vehicular networks: A machine learning framework L Liang, H Ye, GY Li IEEE Internet of Things Journal 6 (1), 124-135, 2018 | 279 | 2018 |
| 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 | 250 | 2018 |
| 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 | 245 | 2019 |
| 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 | 95 | 2022 |
| Federated learning and wireless communications Z Qin, GY Li, H Ye IEEE Wireless Communications 28 (5), 134-140, 2021 | 86 | 2021 |
| 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 | 69 | 2021 |
| 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 | 68 | 2017 |
| 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 | 55 | 2020 |
| Deep reinforcement learning based distributed resource allocation for V2V broadcasting H Ye, GY Li 2018 14th International Wireless Communications & Mobile Computing …, 2018 | 37 | 2018 |
| 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 | 35 | 2020 |
| Circular convolutional auto-encoder for channel coding H Ye, L Liang, GY Li 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019 | 31 | 2019 |
| Deep over-the-air computation H Ye, GY Li, BHF Juang GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 27 | 2020 |
| 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, 2023 | 15 | 2023 |
| Bilinear convolutional auto-encoder based pilot-free end-to-end communication systems H Ye, GY Li, BHF Juang ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 12 | 2020 |
