| An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel Q Shi, M Razaviyayn, ZQ Luo, C He IEEE Transactions on Signal Processing 59 (9), 4331-4340, 2011 | 1804 | 2011 |
| A unified convergence analysis of block successive minimization methods for nonsmooth optimization M Razaviyayn, M Hong, ZQ Luo SIAM Journal on Optimization 23 (2), 1126-1153, 2013 | 1198 | 2013 |
| Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems M Hong, ZQ Luo, M Razaviyayn SIAM Journal on Optimization 26 (1), 337-364, 2016 | 929 | 2016 |
| A unified algorithmic framework for block-structured optimization involving big data: With applications in machine learning and signal processing M Hong, M Razaviyayn, ZQ Luo, JS Pang IEEE Signal Processing Magazine 33 (1), 57-77, 2015 | 447 | 2015 |
| On the degrees of freedom achievable through interference alignment in a MIMO interference channel M Razaviyayn, G Lyubeznik, ZQ Luo IEEE Transactions on Signal Processing 60 (2), 812-821, 2011 | 353 | 2011 |
| Solving a class of non-convex min-max games using iterative first order methods M Nouiehed, M Sanjabi, T Huang, JD Lee, M Razaviyayn Advances in Neural Information Processing Systems 32, 2019 | 350 | 2019 |
| Successive convex approximation: Analysis and applications M Razaviyayn University of Minnesota, 2014 | 221 | 2014 |
| Linear transceiver design for interference alignment: Complexity and computation M Razaviyayn, M Sanjabi, ZQ Luo IEEE Transactions on Information Theory 58 (5), 2896-2910, 2012 | 198 | 2012 |
| Iteration complexity analysis of block coordinate descent methods M Hong, X Wang, M Razaviyayn, ZQ Luo Mathematical Programming 163, 85-114, 2017 | 194 | 2017 |
| On the convergence and robustness of training gans with regularized optimal transport M Sanjabi, J Ba, M Razaviyayn, JD Lee Advances in Neural Information Processing Systems 31, 2018 | 169* | 2018 |
| Computing B-stationary points of nonsmooth DC programs JS Pang, M Razaviyayn, A Alvarado Mathematics of Operations Research 42 (1), 95-118, 2017 | 168 | 2017 |
| A stochastic successive minimization method for nonsmooth nonconvex optimization with applications to transceiver design in wireless communication networks M Razaviyayn, M Sanjabi, ZQ Luo Mathematical Programming 157, 515-545, 2016 | 108 | 2016 |
| Linear transceiver design for a MIMO interfering broadcast channel achieving max–min fairness M Razaviyayn, M Hong, ZQ Luo Signal Processing 93 (12), 3327-3340, 2013 | 107 | 2013 |
| Parallel successive convex approximation for nonsmooth nonconvex optimization M Razaviyayn, M Hong, ZQ Luo, JS Pang Advances in neural information processing systems 27, 2014 | 103 | 2014 |
| A block successive upper-bound minimization method of multipliers for linearly constrained convex optimization M Hong, TH Chang, X Wang, M Razaviyayn, S Ma, ZQ Luo Mathematics of Operations Research 45 (3), 833-861, 2020 | 98 | 2020 |
| Efficient Search of First-Order Nash Equilibria in Nonconvex-Concave Smooth Min-Max Problems DM Ostrovskii, A Lowy, M Razaviyayn arXiv preprint arXiv:2002.07919, 2020 | 95 | 2020 |
| A new sequential optimization procedure and its applications to resource allocation for wireless systems A Aubry, A De Maio, A Zappone, M Razaviyayn, ZQ Luo IEEE Transactions on Signal Processing 66 (24), 6518-6533, 2018 | 95 | 2018 |
| Nonconvex min-max optimization: Applications, challenges, and recent theoretical advances M Razaviyayn, T Huang, S Lu, M Nouiehed, M Sanjabi, M Hong IEEE Signal Processing Magazine 37 (5), 55-66, 2020 | 92 | 2020 |
| R\'enyi Fair Inference S Baharlouei, M Nouiehed, A Beirami, M Razaviyayn arXiv preprint arXiv:1906.12005, 2019 | 85 | 2019 |
| Optimal joint base station assignment and beamforming for heterogeneous networks M Sanjabi, M Razaviyayn, ZQ Luo IEEE Transactions on Signal Processing 62 (8), 1950-1961, 2014 | 78 | 2014 |
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaAdresse e-mail validée de cuhk.edu.cn
