| 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 | 1034 | 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 | 758 | 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 | 487 | 2016 |
| 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 | 332 | 2011 |
| 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 | 241 | 2015 |
| 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 | 178 | 2012 |
| Iteration complexity analysis of block coordinate descent methods M Hong, X Wang, M Razaviyayn, ZQ Luo Mathematical Programming 163 (1-2), 85-114, 2017 | 128 | 2017 |
| Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems M Hong, ZQ Luo, M Razaviyayn 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 105 | 2015 |
| Solving a class of non-convex min-max games using iterative first order methods M Nouiehed, M Sanjabi, T Huang, JD Lee, M Razaviyayn arXiv preprint arXiv:1902.08297, 2019 | 102* | 2019 |
| 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 | 84 | 2013 |
| 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 (2), 515-545, 2016 | 80 | 2016 |
| Successive convex approximation: Analysis and applications M Razaviyayn | 78 | 2014 |
| Computing B-stationary points of nonsmooth DC programs JS Pang, M Razaviyayn, A Alvarado Mathematics of Operations Research 42 (1), 95-118, 2017 | 74 | 2017 |
| Parallel successive convex approximation for nonsmooth nonconvex optimization M Razaviyayn, M Hong, ZQ Luo, JS Pang arXiv preprint arXiv:1406.3665, 2014 | 66 | 2014 |
| On the convergence and robustness of training gans with regularized optimal transport M Sanjabi, J Ba, M Razaviyayn, JD Lee arXiv preprint arXiv:1802.08249, 2018 | 65* | 2018 |
| 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 | 65 | 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 arXiv preprint arXiv:1401.7079, 2014 | 65 | 2014 |
| A Stackelberg game approach to distributed spectrum management M Razaviyayn, ZQ Luo, P Tseng, JS Pang Mathematical programming 129 (2), 197-224, 2011 | 59 | 2011 |
| Gradient primal-dual algorithm converges to second-order stationary solution for nonconvex distributed optimization over networks M Hong, M Razaviyayn, J Lee International Conference on Machine Learning, 2009-2018, 2018 | 38 | 2018 |
| Cross-layer provision of future cellular networks: A WMMSE-based approach H Baligh, M Hong, WC Liao, ZQ Luo, M Razaviyayn, M Sanjabi, R Sun IEEE Signal Processing Magazine 31 (6), 56-68, 2014 | 36 | 2014 |
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaVerified email at cuhk.edu.cn
