| Adaptive Gradient Quantization for Data-Parallel SGD F Faghri, I Tabrizian, I Markov, D Alistarh, D Roy, A Ramezani-Kebrya NeurIPS, 2020 | 86 | 2020 |
| Likelihood-based modulation classification for multiple-antenna receiver A Ramezani-Kebrya, IM Kim, DI Kim, F Chan, R Inkol IEEE Transactions on Communications 61 (9), 3816-3829, 2013 | 72 | 2013 |
| Joint power optimization for device-to-device communication in cellular networks with interference control A Ramezani-Kebrya, M Dong, B Liang, G Boudreau, SH Seyedmehdi IEEE Transactions on Wireless Communications 16 (8), 5131-5146, 2017 | 67 | 2017 |
| NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization A Ramezani-Kebrya, F Faghri, I Markov, V Aksenov, D Alistarh, DM Roy Journal of Machine Learning Research 22 (114), 1-43, 2021 | 55* | 2021 |
| On the generalization of stochastic gradient descent with momentum A Ramezani-Kebrya, K Antonakopoulos, V Cevher, A Khisti, B Liang Journal of Machine Learning Research 25 (22), 1-56, 2024 | 36* | 2024 |
| Subquadratic overparameterization for shallow neural networks C Song, A Ramezani-Kebrya, T Pethick, A Eftekhari, V Cevher Advances in Neural Information Processing Systems 34, 11247-11259, 2021 | 28 | 2021 |
| Robust power optimization for device-to-device communication in a multi-cell network under partial CSI A Ramezani-Kebrya, M Dong, B Liang, G Boudreau, SH Seyedmehdi 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 12 | 2017 |
| Per-relay power minimization for multi-user multi-channel cooperative relay beamforming A Ramezani-Kebrya, M Dong, B Liang, G Boudreau, R Casselman IEEE Transactions on Wireless Communications 15 (5), 3187-3198, 2016 | 10 | 2016 |
| Optimal power allocation in device-to-device communication with SIMO uplink beamforming A Ramezani-Kebrya, M Dong, B Liang, G Boudreau, SH Seyedmehdi 2015 IEEE 16th International Workshop on Signal Processing Advances in …, 2015 | 9 | 2015 |
| Detection for an AF cooperative diversity network in the presence of interference A Ramezani-Kebrya, IM Kim, F Chan, R Inkol, HK Song IEEE communications letters 17 (4), 653-656, 2013 | 9 | 2013 |
| MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks A Ramezani-Kebrya, I Tabrizian, F Faghri, P Popovski Transactions on Machine Learning Research (TMLR), 2022 | 6 | 2022 |
| Interference and/or power reduction for multiple relay nodes using cooperative beamforming GD Boudreau, R Casselman, M Dong, B Liang, A Ramezani-Kebrya US Patent US10042852B2, 2018 | 6 | 2018 |
| Interference minimization in cooperative relay beamforming with multiple communicating pairs A Ramezani-Kebrya, B Liang, M Dong, G Boudreau, R Casselman IEEE Transactions on Wireless Communications 16 (10), 6514-6527, 2017 | 6 | 2017 |
| Optimal cooperative relay beamforming for interference minimization A Ramezani-Kebrya, M Dong, B Liang, G Boudreau, R Casselman 2015 IEEE International Conference on Communications (ICC), 2500-2505, 2015 | 6 | 2015 |
| Robust design of multicell D2D communication under partial CSI A Ramezani-Kebrya, B Liang, M Dong, G Boudreau IEEE Internet of Things Journal 9 (3), 2404-2418, 2021 | 5 | 2021 |
| Device-to-device communication in a multi-cell network with perfect and imperfect CSI G Boudreau, M Dong, B Liang, A Ramezanikebrya, S Hossein US Patent US10644832B2, 2020 | 4 | 2020 |
| Mixed Nash for Robust Federated Learning W Xie, T Pethick, A Ramezani-Kebrya, V Cevher Transactions on Machine Learning Research (TMLR), 2024 | 2 | 2024 |
| Federated Learning under Covariate Shifts with Generalization Guarantees A Ramezani-Kebrya, F Liu, T Pethick, G Chrysos, V Cevher Transactions on Machine Learning Research (TMLR), 2023 | 2 | 2023 |
| Power allocation for device-to-device communication underlaying cellular networks G Boudreau, M Dong, B Liang, A Ramezanikebrya, S Hossein US Patent US10470137B2, 2019 | 2 | 2019 |
| Distributed Extra-Gradient With Optimal Complexity And Communication Guarantees A Ramezani-Kebrya, K Antonakopoulos, I Krawczuk, J Deschenaux, ... International Conference on Learning Representations (ICLR), 2023 | 1 | 2023 |
Ben LiangDepartment of Electrical and Computer Engineering, University of TorontoVerified email at ece.utoronto.ca
