| Compressed channel estimation for intelligent reflecting surface-assisted millimeter wave systems P Wang, J Fang, H Duan, H Li IEEE signal processing letters 27, 905-909, 2020 | 616 | 2020 |
| Intelligent reflecting surface-assisted millimeter wave communications: Joint active and passive precoding design P Wang, J Fang, X Yuan, Z Chen, H Li IEEE Trans. Vehicular Technology 69 (12), 14960-14973, 2020 | 606 | 2020 |
| Multiantenna-assisted spectrum sensing for cognitive radio P Wang, J Fang, N Han, H Li IEEE transactions on vehicular technology 59 (4), 1791-1800, 2009 | 370 | 2009 |
| Low-rank tensor decomposition-aided channel estimation for millimeter wave MIMO-OFDM systems Z Zhou, J Fang, L Yang, H Li, Z Chen, RS Blum IEEE Journal on Selected Areas in Communications 35 (7), 1524-1538, 2017 | 342 | 2017 |
| Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals J Fang, Y Shen, H Li, P Wang IEEE Transactions on Signal Processing 63 (2), 360-372, 2014 | 301 | 2014 |
| Terahertz multi-user massive MIMO with intelligent reflecting surface: Beam training and hybrid beamforming B Ning, Z Chen, W Chen, Y Du, J Fang IEEE Transactions on Vehicular Technology 70 (2), 1376-1393, 2021 | 293 | 2021 |
| Improving physical layer security using UAV-enabled mobile relaying Q Wang, Z Chen, W Mei, J Fang IEEE Wireless Communications Letters 6 (3), 310-313, 2017 | 247 | 2017 |
| Deep learning-based spectrum sensing in cognitive radio: A CNN-LSTM approach J Xie, J Fang, C Liu, X Li IEEE Communications Letters 24 (10), 2196-2200, 2020 | 231 | 2020 |
| Super-resolution compressed sensing for line spectral estimation: An iterative reweighted approach J Fang, F Wang, Y Shen, H Li, RS Blum IEEE Transactions on Signal Processing 64 (18), 4649-4662, 2016 | 224 | 2016 |
| Intelligent power control for spectrum sharing in cognitive radios: A deep reinforcement learning approach X Li, J Fang, W Cheng, H Duan, Z Chen, H Li IEEE access 6, 25463-25473, 2018 | 223 | 2018 |
| Joint transceiver and large intelligent surface design for massive MIMO mmWave systems P Wang, J Fang, L Dai, H Li IEEE transactions on wireless communications 20 (2), 1052-1064, 2020 | 218 | 2020 |
| Super-resolution channel estimation for mmWave massive MIMO with hybrid precoding C Hu, L Dai, T Mir, Z Gao, J Fang IEEE Transactions on Vehicular Technology 67 (9), 8954-8958, 2018 | 210 | 2018 |
| Millimeter wave channel estimation via exploiting joint sparse and low-rank structures X Li, J Fang, H Li, P Wang IEEE Transactions on Wireless Communications 17 (2), 1123-1133, 2017 | 206 | 2017 |
| Deep clustering by Gaussian mixture variational autoencoders with graph embedding L Yang, NM Cheung, J Li, J Fang IEEE Internaional Conference on Computer Vision (ICCV), 6440-6449, 2019 | 202 | 2019 |
| Channel estimation for TDD/FDD massive MIMO systems with channel covariance computing H Xie, F Gao, S Jin, J Fang, YC Liang IEEE Transactions on Wireless Communications 17 (6), 4206-4218, 2018 | 198 | 2018 |
| Beamforming optimization for intelligent reflecting surface assisted MIMO: A sum-path-gain maximization approach B Ning, Z Chen, W Chen, J Fang IEEE Wireless Communications Letters 9 (7), 1105-1109, 2020 | 191 | 2020 |
| Joint waveform and beamforming design for RIS-aided ISAC systems K Zhong, J Hu, C Pan, M Deng, J Fang IEEE Signal Processing Letters 30, 165-169, 2023 | 167 | 2023 |
| Spherical wave channel and analysis for large linear array in LoS conditions Z Zhou, X Gao, J Fang, Z Chen 2015 IEEE Globecom Workshops (GC Wkshps), 1-6, 2015 | 145 | 2015 |
| Channel estimation for millimeter-wave multiuser MIMO systems via PARAFAC decomposition Z Zhou, J Fang, L Yang, H Li, Z Chen, S Li IEEE Transactions on Wireless Communications 15 (11), 7501-7516, 2016 | 144 | 2016 |
| Activity pattern aware spectrum sensing: A CNN-based deep learning approach J Xie, C Liu, YC Liang, J Fang IEEE Communications Letters 23 (6), 1025-1028, 2019 | 139 | 2019 |
Hongbin LiCharles and Rosanna Batchelor Memorial Chair Professor, Stevens Institute of TechnologyVerified email at stevens.edu
