| Design of optimal sparse feedback gains via the alternating direction method of multipliers F Lin, M Fardad, MR Jovanović IEEE Transactions on Automatic Control 58 (9), 2426-2431, 2013 | 467 | 2013 |
| A systematic dnn weight pruning framework using alternating direction method of multipliers T Zhang, S Ye, K Zhang, J Tang, W Wen, M Fardad, Y Wang Proceedings of the European Conference on Computer Vision (ECCV), 184-199, 2018 | 282 | 2018 |
| Augmented Lagrangian approach to design of structured optimal state feedback gains F Lin, M Fardad, MR Jovanovic IEEE Transactions on Automatic Control 56 (12), 2923-2929, 2011 | 195 | 2011 |
| Optimal control of vehicular formations with nearest neighbor interactions F Lin, M Fardad, MR Jovanovic IEEE Transactions on Automatic Control 57 (9), 2203-2218, 2011 | 191 | 2011 |
| Algorithms for leader selection in stochastically forced consensus networks F Lin, M Fardad, MR Jovanović IEEE Transactions on Automatic Control 59 (7), 1789-1802, 2014 | 148 | 2014 |
| Sensor selection for estimation with correlated measurement noise S Liu, SP Chepuri, M Fardad, E Maşazade, G Leus, PK Varshney IEEE Transactions on Signal Processing 64 (13), 3509-3522, 2016 | 147 | 2016 |
| Sparsity-promoting optimal control for a class of distributed systems M Fardad, F Lin, MR Jovanović Proceedings of the 2011 American Control Conference, 2050-2055, 2011 | 135 | 2011 |
| Design of optimal sparse interconnection graphs for synchronization of oscillator networks M Fardad, F Lin, MR Jovanović IEEE Transactions on Automatic Control 59 (9), 2457-2462, 2014 | 100 | 2014 |
| Optimal periodic sensor scheduling in networks of dynamical systems S Liu, M Fardad, E Masazade, PK Varshney IEEE Transactions on Signal Processing 62 (12), 3055-3068, 2014 | 91 | 2014 |
| Sparsity-promoting extended Kalman filtering for target tracking in wireless sensor networks E Masazade, M Fardad, PK Varshney IEEE Signal Processing Letters 19 (12), 845-848, 2012 | 85 | 2012 |
| Sparse feedback synthesis via the alternating direction method of multipliers F Lin, M Fardad, MR Jovanović 2012 American Control Conference (ACC), 4765-4770, 2012 | 69 | 2012 |
| Algorithms for leader selection in large dynamical networks: Noise-corrupted leaders F Lin, M Fardad, MR Jovanović 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 64 | 2011 |
| On the optimal design of structured feedback gains for interconnected systems M Fardad, F Lin, MR Jovanović Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 61 | 2009 |
| Adam-admm: A unified, systematic framework of structured weight pruning for dnns T Zhang, K Zhang, S Ye, J Li, J Tang, W Wen, X Lin, M Fardad, Y Wang arXiv preprint arXiv:1807.11091 2 (3), 2018 | 54 | 2018 |
| Sparsity-aware sensor collaboration for linear coherent estimation S Liu, S Kar, M Fardad, PK Varshney IEEE Transactions on Signal Processing 63 (10), 2582-2596, 2015 | 52 | 2015 |
| On the design of optimal structured and sparse feedback gains via sequential convex programming M Fardad, MR Jovanović 2014 American Control Conference, 2426-2431, 2014 | 47 | 2014 |
| Algorithms for leader selection in large dynamical networks: Noise-free leaders M Fardad, F Lin, MR Jovanović 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 46 | 2011 |
| Stability in the almost everywhere sense: A linear transfer operator approach R Rajaram, U Vaidya, M Fardad, B Ganapathysubramanian Journal of Mathematical analysis and applications 368 (1), 144-156, 2010 | 43 | 2010 |
| Progressive dnn compression: A key to achieve ultra-high weight pruning and quantization rates using admm S Ye, X Feng, T Zhang, X Ma, S Lin, Z Li, K Xu, W Wen, S Liu, J Tang, ... arXiv preprint arXiv:1903.09769, 2019 | 40 | 2019 |
| Progressive weight pruning of deep neural networks using ADMM S Ye, T Zhang, K Zhang, J Li, K Xu, Y Yang, F Yu, J Tang, M Fardad, S Liu, ... arXiv preprint arXiv:1810.07378, 2018 | 37 | 2018 |
Mihailo R. JovanovicProfessor of Electrical and Computer Engineering, University of Southern CaliforniaVerified email at usc.edu
