| Deep learning-based channel estimation for beamspace mmWave massive MIMO systems H He, CK Wen, S Jin, GY Li IEEE Wireless Communications Letters 7 (5), 852-855, 2018 | 774 | 2018 |
| Model-driven deep learning for physical layer communications H He, S Jin, CK Wen, F Gao, GY Li, Z Xu IEEE Wireless Communications 26 (5), 77-83, 2019 | 443 | 2019 |
| Model-driven deep learning for MIMO detection H He, CK Wen, S Jin, GY Li IEEE Transactions on Signal Processing 68, 1702-1715, 2020 | 397 | 2020 |
| A model-driven deep learning network for MIMO detection H He, CK Wen, S Jin, GY Li 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 317 | 2018 |
| Cell-free massive MIMO for 6G wireless communication networks H He, X Yu, J Zhang, S Song, KB Letaief Journal of Communications and Information Networks 6 (4), 321-335, 2021 | 92 | 2021 |
| Bayesian optimal data detector for hybrid mmWave MIMO-OFDM systems with low-resolution ADCs H He, CK Wen, S Jin IEEE Journal of Selected Topics in Signal Processing 12 (3), 469-483, 2018 | 88 | 2018 |
| Generalized expectation consistent signal recovery for nonlinear measurements H He, CK Wen, S Jin 2017 IEEE International Symposium on Information Theory (ISIT), 2333-2337, 2017 | 59 | 2017 |
| Beamspace channel estimation for wideband millimeter-wave MIMO: A model-driven unsupervised learning approach H He, R Wang, W Jin, S Jin, CK Wen, GY Li IEEE Transactions on Wireless Communications 22 (3), 1808-1822, 2022 | 47* | 2022 |
| An adaptive and robust deep learning framework for THz ultra-massive MIMO channel estimation W Yu, Y Shen, H He, X Yu, S Song, J Zhang, KB Letaief IEEE Journal of Selected Topics in Signal Processing 17 (4), 761-776, 2023 | 37 | 2023 |
| Deep learning based on orthogonal approximate message passing for CP-free OFDM J Zhang, H He, CK Wen, S Jin, GY Li ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 33 | 2019 |
| Hybrid far-and near-field channel estimation for THz ultra-massive MIMO via fixed point networks W Yu, Y Shen, H He, X Yu, J Zhang, KB Letaief GLOBECOM 2022-2022 IEEE Global Communications Conference, 5384-5389, 2022 | 27 | 2022 |
| Model-driven deep learning for massive MU-MIMO with finite-alphabet precoding H He, M Zhang, S Jin, CK Wen, GY Li IEEE Communications Letters 24 (10), 2216-2220, 2020 | 23 | 2020 |
| Distributed expectation propagation detection for cell-free massive MIMO H He, H Wang, X Yu, J Zhang, SH Song, KB Letaief 2021 IEEE Global Communications Conference (GLOBECOM), 01-06, 2021 | 20 | 2021 |
| Adaptive channel estimation based on model-driven deep learning for wideband mmWave systems W Jin, H He, CK Wen, S Jin, GY Li 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 20 | 2021 |
| Model-driven deep learning for massive multiuser MIMO constant envelope precoding Y He, H He, CK Wen, S Jin IEEE Wireless Communications Letters 9 (11), 1835-1839, 2020 | 19 | 2020 |
| Channel estimation for millimeter wave massive MIMO systems with low-resolution ADCs R Wang, H He, S Jin, X Wang, X Hou 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019 | 16 | 2019 |
| Graph neural network enhanced approximate message passing for MIMO detection H He, A Kosasih, X Yu, J Zhang, SH Song, W Hardjawana, KB Letaief arXiv preprint arXiv:2205.10620, 2022 | 12* | 2022 |
| Task-oriented communication with out-of-distribution detection: An information bottleneck framework H Li, W Yu, H He, J Shao, S Song, J Zhang, KB Letaief GLOBECOM 2023-2023 IEEE Global Communications Conference, 3136-3141, 2023 | 8 | 2023 |
| Message passing meets graph neural networks: A new paradigm for massive MIMO systems H He, X Yu, J Zhang, S Song, KB Letaief IEEE Transactions on Wireless Communications, 2023 | 8 | 2023 |
| Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks S Xie, H He, H Li, S Song, J Zhang, YJA Zhang, KB Letaief arXiv preprint arXiv:2401.11155, 2024 | 5 | 2024 |
Shi JinSoutheast UniversityVerified email at seu.edu.cn
