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Makan Fardad
Makan Fardad
Engineering & Computer Science, Syracuse University
Verified email at syr.edu - Homepage
Title
Cited by
Cited by
Year
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
5452013
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
5022018
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
2242011
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
2202011
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
2032016
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
1652014
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
1532011
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
1012014
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
982014
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
972012
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
752018
Sparse feedback synthesis via the alternating direction method of multipliers
F Lin, M Fardad, MR Jovanović
2012 American control conference (ACC), 4765-4770, 2012
742012
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
692009
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
652011
A memristor-based optimization framework for artificial intelligence applications
S Liu, Y Wang, M Fardad, PK Varshney
IEEE Circuits and Systems Magazine 18 (1), 29-44, 2018
632018
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
632015
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
572014
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
542019
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
542010
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
522018
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