Joint transmit beamforming for multiuser MIMO communications and MIMO radar X Liu, T Huang, N Shlezinger, Y Liu, J Zhou, YC Eldar IEEE Transactions on Signal Processing 68, 3929-3944, 2020 | 504 | 2020 |
Joint radar-communication strategies for autonomous vehicles: Combining two key automotive technologies D Ma, N Shlezinger, T Huang, Y Liu, YC Eldar IEEE signal processing magazine 37 (4), 85-97, 2020 | 367 | 2020 |
Dynamic metasurface antennas for 6G extreme massive MIMO communications N Shlezinger, GC Alexandropoulos, MF Imani, YC Eldar, DR Smith IEEE Wireless Communications 28 (2), 106-113, 2021 | 275 | 2021 |
Model-based deep learning N Shlezinger, J Whang, YC Eldar, AG Dimakis Proceedings of the IEEE 111 (5), 465-499, 2023 | 270 | 2023 |
Communication-efficient federated learning M Chen, N Shlezinger, HV Poor, YC Eldar, S Cui Proceedings of the National Academy of Sciences 118 (17), e2024789118, 2021 | 256 | 2021 |
UVeQFed: Universal vector quantization for federated learning N Shlezinger, M Chen, YC Eldar, HV Poor, S Cui IEEE Transactions on Signal Processing 69, 500-514, 2020 | 212 | 2020 |
MAJoRCom: A dual-function radar communication system using index modulation T Huang, N Shlezinger, X Xu, Y Liu, YC Eldar IEEE transactions on signal processing 68, 3423-3438, 2020 | 206 | 2020 |
Beam focusing for near-field multiuser MIMO communications H Zhang, N Shlezinger, F Guidi, D Dardari, MF Imani, YC Eldar IEEE Transactions on Wireless Communications 21 (9), 7476-7490, 2022 | 199 | 2022 |
KalmanNet: Neural network aided Kalman filtering for partially known dynamics G Revach, N Shlezinger, X Ni, AL Escoriza, RJG Van Sloun, YC Eldar IEEE Transactions on Signal Processing 70, 1532-1547, 2022 | 188 | 2022 |
Over-the-air federated learning from heterogeneous data T Sery, N Shlezinger, K Cohen, YC Eldar IEEE Transactions on Signal Processing 69, 3796-3811, 2021 | 182 | 2021 |
ViterbiNet: A deep learning based Viterbi algorithm for symbol detection N Shlezinger, N Farsad, YC Eldar, AJ Goldsmith IEEE Transactions on Wireless Communications 19 (5), 3319-3331, 2020 | 148 | 2020 |
Federated learning: A signal processing perspective T Gafni, N Shlezinger, K Cohen, YC Eldar, HV Poor IEEE Signal Processing Magazine 39 (3), 14-41, 2022 | 129 | 2022 |
Reconfigurable intelligent surfaces for rich scattering wireless communications: Recent experiments, challenges, and opportunities GC Alexandropoulos, N Shlezinger, P Del Hougne IEEE Communications Magazine 59 (6), 28-34, 2021 | 125 | 2021 |
Hybrid reconfigurable intelligent metasurfaces: Enabling simultaneous tunable reflections and sensing for 6G wireless communications GC Alexandropoulos, N Shlezinger, I Alamzadeh, MF Imani, H Zhang, ... IEEE Vehicular Technology Magazine, 2023 | 120 | 2023 |
Dynamic metasurface antennas for uplink massive MIMO systems N Shlezinger, O Dicker, YC Eldar, I Yoo, MF Imani, DR Smith IEEE transactions on communications 67 (10), 6829-6843, 2019 | 114 | 2019 |
Spatial modulation for joint radar-communications systems: Design, analysis, and hardware prototype D Ma, N Shlezinger, T Huang, Y Shavit, M Namer, Y Liu, YC Eldar IEEE Transactions on Vehicular Technology 70 (3), 2283-2298, 2021 | 102 | 2021 |
6G wireless communications: From far-field beam steering to near-field beam focusing H Zhang, N Shlezinger, F Guidi, D Dardari, YC Eldar IEEE Communications Magazine 61 (4), 72-77, 2023 | 101 | 2023 |
Model-based deep learning: On the intersection of deep learning and optimization N Shlezinger, YC Eldar, SP Boyd IEEE Access 10, 115384-115398, 2022 | 100 | 2022 |
Federated learning with quantization constraints N Shlezinger, M Chen, YC Eldar, HV Poor, S Cui ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 100 | 2020 |
A reconfigurable intelligent surface with integrated sensing capability I Alamzadeh, GC Alexandropoulos, N Shlezinger, MF Imani Scientific reports 11 (1), 20737, 2021 | 99 | 2021 |