A framework for destabilization of dynamical systems and mixing enhancement. - Bassam Bamieh; Igor Mezic; Makan Fardad (CDC, 2001)

A frequency domain analysis and synthesis of the passivity of sampled-data systems. - Makan Fardad; Bassam Bamieh (CDC, 2004)

A perturbation analysis of parametric resonance and periodic control in spatially distributed systems. - Makan Fardad; Bassam Bamieh (CDC, 2004)

A perturbation approach to the H2 analysis of spatially periodic systems. - Makan Fardad; Bassam Bamieh (ACC, 2005)

The Nyquist Stability Criterion For A Class Of Spatially Periodic Systems. - Makan Fardad; Bassam Bamieh (CDC/ECC, 2005)

On Stability and the Spectrum Determined Growth Condition for Spatially Periodic Systems. - Makan Fardad; Bassam Bamieh (CDC, 2006)

Connection between almost everywhere stability of an ODE and advection PDE. - Rajeev Rajaram; Umesh Vaidya; Makan Fardad (CDC, 2007)

Perturbation analysis of eigenvalues of a class of self-adjoint operators. - Rashad Moarref; Makan Fardad; Mihailo R. Jovanovic (ACC, 2008)

On the state-space design of optimal controllers for distributed systems with finite communication speed. - Makan Fardad; Mihailo R. Jovanovic (CDC, 2008)

I norm of linear time-periodic systems: A perturbation analysis. - Mihailo R. Jovanovic; Makan Fardad (Autom., 2008)

Perturbation Methods in Stability and Norm Analysis of Spatially Periodic Systems. - Makan Fardad; Bassam Bamieh (SIAM J. Control. Optim., 2008)

An Extension of the Argument Principle and Nyquist Criterion to a Class of Systems With Unbounded Generators. - Makan Fardad; Bassam Bamieh (IEEE Trans. Autom. Control., 2008)

Frequency Analysis and Norms of Distributed Spatially Periodic Systems. - Makan Fardad; Mihailo R. Jovanovic; Bassam Bamieh (IEEE Trans. Autom. Control., 2008)

Synthesis of H2 optimal static structured controllers: Primal and dual formulations. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (Allerton, 2009)

The operator algebra of almost Toeplitz matrices and the optimal control of large-scale systems. - Makan Fardad (ACC, 2009)

Damping mechanisms in dynamic mode atomic force microscopy applications. - Makan Fardad; Mihailo R. Jovanovic; Murti V. Salapaka (ACC, 2009)

On the optimal design of structured feedback gains for interconnected systems. - Makan Fardad; Fu Lin; Mihailo R. Jovanovic (CDC, 2009)

A Necessary and Sufficient Frequency Domain Criterion for the Passivity of SISO Sampled-Data Systems. - Makan Fardad; Bassam Bamieh (IEEE Trans. Autom. Control., 2009)

On the optimal localized feedback design for vehicular platoons. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (ACC, 2010)

On the dual decomposition of linear quadratic optimal control problems for vehicular formations. - Makan Fardad; Fu Lin; Mihailo R. Jovanovic (CDC, 2010)

On the optimal localized feedback design for multi-vehicle systems. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (CDC, 2010)

Sparsity-promoting optimal control for a class of distributed systems. - Makan Fardad; Fu Lin; Mihailo R. Jovanovic (ACC, 2011)

Algorithms for leader selection in large dynamical networks: Noise-free leaders. - Makan Fardad; Fu Lin; Mihailo R. Jovanovic (CDC/ECC, 2011)

Algorithms for leader selection in large dynamical networks: Noise-corrupted leaders. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (CDC/ECC, 2011)

Design of optimal controllers for spatially invariant systems with finite communication speed. - Makan Fardad; Mihailo R. Jovanovic (Autom., 2011)

Augmented Lagrangian Approach to Design of Structured Optimal State Feedback Gains. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2011)

Identification of sparse communication graphs in consensus networks. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (Allerton Conference, 2012)

On the optimal synchronization of oscillator networks via sparse interconnection graphs. - Makan Fardad; Fu Lin; Mihailo R. Jovanovic (ACC, 2012)

Sparse feedback synthesis via the alternating direction method of multipliers. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (ACC, 2012)

On the optimal dissemination of information in social networks. - Makan Fardad; Xi Zhang; Fu Lin; Mihailo R. Jovanovic (CDC, 2012)

Performance of leader-follower networks in directed trees and lattices. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (CDC, 2012)

Sparsity-Promoting Extended Kalman Filtering for Target Tracking in Wireless Sensor Networks. - Engin Masazade; Makan Fardad; Pramod K. Varshney (IEEE Signal Process. Lett., 2012)

Optimal Control of Vehicular Formations With Nearest Neighbor Interactions. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2012)

On new characterizations of social influence in social networks. - Makan Fardad; Fu Lin; Xi Zhang; Mihailo R. Jovanovic (ACC, 2013)

On optimal sensor placement for mitigation of vulnerabilities to cyber attacks in large-scale networks. - Umesh Vaidya; Makan Fardad (ECC, 2013)

On optimal periodic sensor scheduling for field estimation in wireless sensor networks. - Sijia Liu 001; Makan Fardad; Engin Masazade; Pramod K. Varshney (GlobalSIP, 2013)

Optimal Periodic Sensor Scheduling in Large-Scale Dynamical Networks - Sijia Liu 001; Makan Fardad; Engin Masazade; Pramod K. Varshney (CoRR, 2013)

Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2013)

On the design of optimal structured and sparse feedback gains via sequential convex programming. - Makan Fardad; Mihailo R. Jovanovic (ACC, 2014)

On optimal link creation for facilitation of consensus in social networks. - Makan Fardad; Fu Lin; Mihailo R. Jovanovic (ACC, 2014)

Vulnerability analysis of large-scale dynamical networks to coordinated attacks. - Sai Pushpak; Amit Diwadkar; Makan Fardad; Umesh Vaidya (AuCC, 2014)

On optimal link removals for controllability degradation in dynamical networks. - Makan Fardad; Amit Diwadkar; Umesh Vaidya (CDC, 2014)

On the properties of optimal weak links in consensus networks. - Makan Fardad; Xi Zhang; Fu Lin; Mihailo R. Jovanovic (CDC, 2014)

Sparsity-aware field estimation via ordinary Kriging. - Sijia Liu 001; Engin Masazade; Makan Fardad; Pramod K. Varshney (ICASSP, 2014)

On optimal sensor collaboration topologies for linear coherent estimation. - Sijia Liu 001; Makan Fardad; Swarnendu Kar; Pramod K. Varshney (ISIT, 2014)

Energy-Aware Sensor Selection in Field Reconstruction. - Sijia Liu 001; Aditya Vempaty; Makan Fardad; Engin Masazade; Pramod K. Varshney (IEEE Signal Process. Lett., 2014)

Design of Optimal Sparse Interconnection Graphs for Synchronization of Oscillator Networks. - Makan Fardad; Fu Lin; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2014)

Algorithms for Leader Selection in Stochastically Forced Consensus Networks. - Fu Lin; Makan Fardad; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2014)

Optimal Periodic Sensor Scheduling in Networks of Dynamical Systems. - Sijia Liu 001; Makan Fardad; Pramod K. Varshney; Engin Masazade (IEEE Trans. Signal Process., 2014)

On optimal sensor collaboration for distributed estimation with individual power constraints. - Sijia Liu 001; Swarnendu Kar; Makan Fardad; Pramod K. Varshney (ACSSC, 2015)

On consensus-based community detection. - Makan Fardad (CDC, 2015)

Sparsity-promoting sensor management for estimation: An energy balance point of view. - Sijia Liu 001; Feishe Chen; Aditya Vempaty; Makan Fardad; Lixin Shen; Pramod K. Varshney (FUSION, 2015)

Sensor selection with correlated measurements for target tracking in wireless sensor networks. - Sijia Liu 001; Engin Masazade; Makan Fardad; Pramod K. Varshney (ICASSP, 2015)

Sparsity-Aware Sensor Collaboration for Linear Coherent Estimation. - Sijia Liu 001; Swarnendu Kar; Makan Fardad; Pramod K. Varshney (IEEE Trans. Signal Process., 2015)

On a framework for analysis and design of cascades on Boolean networks. - Griffin Kearney; Makan Fardad (CDC, 2016)

Optimal energy allocation and storage control for distributed estimation with sensor collaboration. - Sijia Liu 001; Yanzhi Wang; Makan Fardad; Pramod K. Varshney (CISS, 2016)

Sensor Selection for Estimation with Correlated Measurement Noise. - Sijia Liu 001; Sundeep Prabhakar Chepuri; Makan Fardad; Engin Masazade; Geert Leus; Pramod K. Varshney (IEEE Trans. Signal Process., 2016)

Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters. - Sijia Liu 001; Swarnendu Kar; Makan Fardad; Pramod K. Varshney (IEEE Trans. Signal Process., 2016)

On a linear programming approach to the optimal seeding of cascading failures. - Makan Fardad; Griffin Kearney (CDC, 2017)

A Memristor-Based Optimization Framework for AI Applications. - Sijia Liu 001; Yanzhi Wang; Makan Fardad; Pramod K. Varshney (CoRR, 2017)

On Optimality of Sparse Long-Range Links in Circulant Consensus Networks. - Makan Fardad (IEEE Trans. Autom. Control., 2017)

On the Induction of Cascading Failures in Transportation Networks. - Griffin Kearney; Makan Fardad (CDC, 2018)

A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. - Tianyun Zhang; Shaokai Ye; Kaiqi Zhang 003; Jian Tang 008; Wujie Wen; Makan Fardad; Yanzhi Wang (ECCV (8), 2018)

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. - Pu Zhao 001; Kaidi Xu; Tianyun Zhang; Makan Fardad; Yanzhi Wang; Xue Lin 001 (GlobalSIP, 2018)

Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. - Tianyun Zhang; Shaokai Ye; Yipeng Zhang; Yanzhi Wang; Makan Fardad (ICLR (Workshop), 2018)

ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. - Tianyun Zhang; Kaiqi Zhang 003; Shaokai Ye; Jiayu Li; Jian Tang 008; Wujie Wen; Xue Lin 001; Makan Fardad; Yanzhi Wang (CoRR, 2018)

Progressive Weight Pruning of Deep Neural Networks using ADMM. - Shaokai Ye; Tianyun Zhang; Kaiqi Zhang 003; Jiayu Li; Kaidi Xu; Yunfei Yang; Fuxun Yu; Jian Tang 008; Makan Fardad; Sijia Liu 001; Xiang Chen 010; Xue Lin 001; et al. (CoRR, 2018)

Generation of Low Distortion Adversarial Attacks via Convex Programming. - Tianyun Zhang; Sijia Liu 001; Yanzhi Wang; Makan Fardad (ICDM, 2019)

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. - Shaokai Ye; Xiaoyu Feng; Tianyun Zhang; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Kaidi Xu; Wujie Wen; Sijia Liu 001; Jian Tang 008; Makan Fardad; Xue Lin 001; et al. (CoRR, 2019)

Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. - Jingkang Wang; Tianyun Zhang; Sijia Liu 001; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li 026 (CoRR, 2019)

On the Optimal Interdiction of Transportation Networks. - Tianyun Zhang; Makan Fardad (ACC, 2020)

SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. - Jiayu Li 002; Tianyun Zhang; Hao Tian; Shengmin Jin; Makan Fardad; Reza Zafarani (PAKDD (1), 2020)

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. - Tianyun Zhang; Xiaolong Ma; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Fei Sun; Yen-Kuang Chen; Caiwen Ding; Makan Fardad; Yanzhi Wang (CoRR, 2020)

A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. - Tianyun Zhang; Xiaolong Ma; Zheng Zhan 001; Shanglin Zhou; Caiwen Ding; Makan Fardad; Yanzhi Wang (DAC, 2021)

Adversarial Attack Generation Empowered by Min-Max Optimization. - Jingkang Wang; Tianyun Zhang; Sijia Liu 001; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li 026 (NeurIPS, 2021)

Loss Attitude Aware Energy Management for Signal Detection. - Baocheng Geng; Chen Quan; Tianyun Zhang; Makan Fardad; Pramod K. Varshney (IEEECONF, 2022)

AdverSparse: An Adversarial Attack Framework for Deep Spatial-Temporal Graph Neural Networks. - Jiayu Li 002; Tianyun Zhang; Shengmin Jin; Makan Fardad; Reza Zafarani (ICASSP, 2022)

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. - Minghai Qin; Tianyun Zhang; Fei Sun; Yen-Kuang Chen; Makan Fardad; Yanzhi Wang; Yuan Xie 001 (ICTAI, 2022)

Graph sparsification with graph convolutional networks. - Jiayu Li 002; Tianyun Zhang; Hao Tian; Shengmin Jin; Makan Fardad; Reza Zafarani (Int. J. Data Sci. Anal., 2022)

StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. - Tianyun Zhang; Shaokai Ye; Xiaoyu Feng; Xiaolong Ma; Kaiqi Zhang 003; Zhengang Li; Jian Tang 008; Sijia Liu 001; Xue Lin 001; Yongpan Liu; Makan Fardad; Yanzhi Wang (IEEE Trans. Neural Networks Learn. Syst., 2022)

A unified DNN weight compression framework using reweighted optimization methods. - Mengchen Fan; Tianyun Zhang; Xiaolong Ma; Jiacheng Guo; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Caiwen Ding; Baocheng Geng; Makan Fardad; Yanzhi Wang (Intell. Syst. Appl., 2025)