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Publications: Journal Papers Submitted


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Baingana, Brian

Y. Shen, B. Baingana, and G. B. Giannakis, "Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity," IEEE Transactions on Medical Imaging, submitted October 2016; revised October 2017.

Berberidis, Dimitrios K.

D. K. Berberidis and G. B. Giannakis, "Data-adaptive Active Sampling for Efficient Graph-Cognizant Classification," IEEE Transactions on Signal Processing, submitted June 2017; revised December 2017.

F. Sheikholeslami, D. K. Berberidis, and G. B. Giannakis, "Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking," IEEE Transactions on Signal Processing, submitted May 2017; revised October 2017.

Z. Wang, Z. Yu, Q. Ling, D. K. Berberidis, and G. B. Giannakis, "Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks," IEEE Transactions on Signal Processing, submitted December 2016; revised June 2017; re-revised October 2017.

Chen, Jie

G. Wang, G. B. Giannakis, and J. Chen, "Robust and Scalable Power System State Estimation using Composite Optimization," IEEE Transactions on Smart Grid, submitted August 2017; revised November 2017.

G. Wang, G. B. Giannakis, Y. Saad, and J. Chen, "Solving Most High-Dimensional Random Systems of Quadratic Equations," IEEE Transactions on Signal Processing, submitted August 2017; revised December 2017.

Chen, Tianyi

B. Li, T. Chen, X. Wang, and G. B. Giannakis, "Real-time Optimal Energy Management with Reduced Battery Capacity Requirements," IEEE Transactions on Smart Grid, submitted August 2017; revised November 2017.

T. Chen and G. B. Giannakis, "Bandit Convex Optimization for Scalable and Dynamic IoT Management," IEEE Internet of Things Journal, submitted July 2017.

Giannakis, Georgios B.

V. N. Ioannidis, D. Romero, and G. B. Giannakis, "Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering," IEEE Transactions on Signal Processing, submitted November 2017.

B. Li, T. Chen, X. Wang, and G. B. Giannakis, "Real-time Optimal Energy Management with Reduced Battery Capacity Requirements," IEEE Transactions on Smart Grid, submitted August 2017; revised November 2017.

G. Wang, G. B. Giannakis, and J. Chen, "Robust and Scalable Power System State Estimation using Composite Optimization," IEEE Transactions on Smart Grid, submitted August 2017; revised November 2017.

G. Wang, G. B. Giannakis, Y. Saad, and J. Chen, "Solving Most High-Dimensional Random Systems of Quadratic Equations," IEEE Transactions on Signal Processing, submitted August 2017; revised December 2017.

D. Romero, D. Lee, and G. B. Giannakis, "Blind Radio Tomography," IEEE Transactions on Signal Processing, submitted July 2017; revised November 2017.

F. Sheikholeslami and G. B. Giannakis, "Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition," IEEE Transactions on Signal Processing, submitted July 2017; revised November 2017.

A. Sadeghi, F. Sheikholeslami, and G. B. Giannakis, "Optimal and Scalable Cashing for 5G Using Reinforcement Learning of Space-time Popularities," IEEE Journal of Selected Topics in Signal Processing, submitted July 2017; revised November 2017.

T. Chen and G. B. Giannakis, "Bandit Convex Optimization for Scalable and Dynamic IoT Management," IEEE Internet of Things Journal, submitted July 2017.

D. K. Berberidis and G. B. Giannakis, "Data-adaptive Active Sampling for Efficient Graph-Cognizant Classification," IEEE Transactions on Signal Processing, submitted June 2017; revised December 2017.

F. Sheikholeslami, D. K. Berberidis, and G. B. Giannakis, "Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking," IEEE Transactions on Signal Processing, submitted May 2017; revised October 2017.

G. Wang, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, "Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound," IEEE Transactions on Signal Processing, submitted May 2017; revised September 2017.

P. A. Traganitis, K. Slavakis, and G. B. Giannakis, "Large-Scale Subspace Clustering using Sketching and Validation," IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted April 2017.

G. V. Karanikolas, G. B. Giannakis, and R. M. Leahy, "Multi-kernel based nonlinear functional connectivity models," NeuroImage, submitted April 2017.

Z. Wang, Z. Yu, Q. Ling, D. K. Berberidis, and G. B. Giannakis, "Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks," IEEE Transactions on Signal Processing, submitted December 2016; revised June 2017; re-revised October 2017.

M. Mardani, G. B. Giannakis, and K. Ugurbil, "Tracking Low-rank Tensor Subspaces with Informative Random Subsampling for Real-Time MRI," IEEE Transactions on Medical Imaging, submitted October 2016; revised June 2017; re-revised November 2017.

Y. Shen, B. Baingana, and G. B. Giannakis, "Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity," IEEE Transactions on Medical Imaging, submitted October 2016; revised October 2017.

S.-J. Kim, N. Jain, and G. B. Giannakis, "Blind Spectrum Sensing for Cognitive Radios using Dictionary Learning," IEEE Transactions on Cognitive Communications and Networking, submitted Sept. 2015; re-revised January 2017.

S.-J. Kim, Y. Zhang, and G. B. Giannakis, "Forecasting Loads and Renewables via Low Rank plus Sparse Nonnegative Matrix Factorization," IEEE Transactions on Sustainable Energy, submitted April 2015.

Ioannidis, Vassilis

V. N. Ioannidis, D. Romero, and G. B. Giannakis, "Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering," IEEE Transactions on Signal Processing, submitted November 2017.

Jain, Nitin

S.-J. Kim, N. Jain, and G. B. Giannakis, "Blind Spectrum Sensing for Cognitive Radios using Dictionary Learning," IEEE Transactions on Cognitive Communications and Networking, submitted Sept. 2015; re-revised January 2017.

Karanikolas, Georgios V.

G. V. Karanikolas, G. B. Giannakis, and R. M. Leahy, "Multi-kernel based nonlinear functional connectivity models," NeuroImage, submitted April 2017.

Kim, Seung-Jun

S.-J. Kim, N. Jain, and G. B. Giannakis, "Blind Spectrum Sensing for Cognitive Radios using Dictionary Learning," IEEE Transactions on Cognitive Communications and Networking, submitted Sept. 2015; re-revised January 2017.

S.-J. Kim, Y. Zhang, and G. B. Giannakis, "Forecasting Loads and Renewables via Low Rank plus Sparse Nonnegative Matrix Factorization," IEEE Transactions on Sustainable Energy, submitted April 2015.

Leahy, Richard M.

G. V. Karanikolas, G. B. Giannakis, and R. M. Leahy, "Multi-kernel based nonlinear functional connectivity models," NeuroImage, submitted April 2017.

Lee, Donghoon

D. Romero, D. Lee, and G. B. Giannakis, "Blind Radio Tomography," IEEE Transactions on Signal Processing, submitted July 2017; revised November 2017.

Li, Bingcong

B. Li, T. Chen, X. Wang, and G. B. Giannakis, "Real-time Optimal Energy Management with Reduced Battery Capacity Requirements," IEEE Transactions on Smart Grid, submitted August 2017; revised November 2017.

Ling, Qing

Z. Wang, Z. Yu, Q. Ling, D. K. Berberidis, and G. B. Giannakis, "Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks," IEEE Transactions on Signal Processing, submitted December 2016; revised June 2017; re-revised October 2017.

Mardani, Morteza

M. Mardani, G. B. Giannakis, and K. Ugurbil, "Tracking Low-rank Tensor Subspaces with Informative Random Subsampling for Real-Time MRI," IEEE Transactions on Medical Imaging, submitted October 2016; revised June 2017; re-revised November 2017.

Romero, Daniel

V. N. Ioannidis, D. Romero, and G. B. Giannakis, "Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering," IEEE Transactions on Signal Processing, submitted November 2017.

D. Romero, D. Lee, and G. B. Giannakis, "Blind Radio Tomography," IEEE Transactions on Signal Processing, submitted July 2017; revised November 2017.

Saad, Yousef

G. Wang, G. B. Giannakis, Y. Saad, and J. Chen, "Solving Most High-Dimensional Random Systems of Quadratic Equations," IEEE Transactions on Signal Processing, submitted August 2017; revised December 2017.

Sadeghi, Alireza

A. Sadeghi, F. Sheikholeslami, and G. B. Giannakis, "Optimal and Scalable Cashing for 5G Using Reinforcement Learning of Space-time Popularities," IEEE Journal of Selected Topics in Signal Processing, submitted July 2017; revised November 2017.

Sheikholeslami, Fatemeh

F. Sheikholeslami and G. B. Giannakis, "Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition," IEEE Transactions on Signal Processing, submitted July 2017; revised November 2017.

A. Sadeghi, F. Sheikholeslami, and G. B. Giannakis, "Optimal and Scalable Cashing for 5G Using Reinforcement Learning of Space-time Popularities," IEEE Journal of Selected Topics in Signal Processing, submitted July 2017; revised November 2017.

F. Sheikholeslami, D. K. Berberidis, and G. B. Giannakis, "Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking," IEEE Transactions on Signal Processing, submitted May 2017; revised October 2017.

Shen, Yanning

Y. Shen, B. Baingana, and G. B. Giannakis, "Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity," IEEE Transactions on Medical Imaging, submitted October 2016; revised October 2017.

Sidiropoulos, Nicholas D.

G. Wang, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, "Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound," IEEE Transactions on Signal Processing, submitted May 2017; revised September 2017.

Slavakis, Konstantinos

P. A. Traganitis, K. Slavakis, and G. B. Giannakis, "Large-Scale Subspace Clustering using Sketching and Validation," IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted April 2017.

Traganitis, Panagiotis A.

P. A. Traganitis, K. Slavakis, and G. B. Giannakis, "Large-Scale Subspace Clustering using Sketching and Validation," IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted April 2017.

Ugurbil, Kamil

M. Mardani, G. B. Giannakis, and K. Ugurbil, "Tracking Low-rank Tensor Subspaces with Informative Random Subsampling for Real-Time MRI," IEEE Transactions on Medical Imaging, submitted October 2016; revised June 2017; re-revised November 2017.

Wang, Gang

G. Wang, G. B. Giannakis, and J. Chen, "Robust and Scalable Power System State Estimation using Composite Optimization," IEEE Transactions on Smart Grid, submitted August 2017; revised November 2017.

G. Wang, G. B. Giannakis, Y. Saad, and J. Chen, "Solving Most High-Dimensional Random Systems of Quadratic Equations," IEEE Transactions on Signal Processing, submitted August 2017; revised December 2017.

G. Wang, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, "Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound," IEEE Transactions on Signal Processing, submitted May 2017; revised September 2017.

Wang, Xin

B. Li, T. Chen, X. Wang, and G. B. Giannakis, "Real-time Optimal Energy Management with Reduced Battery Capacity Requirements," IEEE Transactions on Smart Grid, submitted August 2017; revised November 2017.

Wang, Zifeng

Z. Wang, Z. Yu, Q. Ling, D. K. Berberidis, and G. B. Giannakis, "Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks," IEEE Transactions on Signal Processing, submitted December 2016; revised June 2017; re-revised October 2017.

Yu, Zheng

Z. Wang, Z. Yu, Q. Ling, D. K. Berberidis, and G. B. Giannakis, "Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks," IEEE Transactions on Signal Processing, submitted December 2016; revised June 2017; re-revised October 2017.

Zamzam, Ahmed S.

G. Wang, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, "Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound," IEEE Transactions on Signal Processing, submitted May 2017; revised September 2017.

Zhang, Y.

S.-J. Kim, Y. Zhang, and G. B. Giannakis, "Forecasting Loads and Renewables via Low Rank plus Sparse Nonnegative Matrix Factorization," IEEE Transactions on Sustainable Energy, submitted April 2015.