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Publications: Journal Papers Submitted


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Baingana, Brian

Y. Shen, G. B. Giannakis, and B. Baingana, "Nonlinear Structural Vector Autoregressive Models with Application to Directed Brain Networks," IEEE Transactions on Signal Processing, submitted September 2018.

Barbarossa, Sergio

T. Chen, S. Barbarossa, X. Wang, G. B. Giannakis, and Z.-L. Zhang, "Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability," Proceedings of the IEEE, submitted June 2018; revised October 2018.

Berberidis, Dimitrios K.

D. K. Berberidis and G. B. Giannakis, "Node Embedding with Adaptive Similarities for Scalable Learning over Graphs," IEEE Transactions on Knowledge and Data Engineering, submitted December 2018.

D. Lee, D. K. Berberidis, and G. B. Giannakis, "Adaptive Bayesian Radio Tomography," IEEE Transactions on Signal Processing, submitted April 2018; revised October 2018.

Cai, Xiaodong

F. Gao, C. Wang, G. B. Giannakis, C. Myers, G. D'Urso, and X. Cai, "Efficient Proximal Gradient Algorithm for Inference of Differential Gene Networks," Genome Biology, submitted April 2018.

Chen, Jia

J. Chen, G. Wang, and G. B. Giannakis, "Graph Multiview Canonical Correlation Analysis," IEEE Transactions on Signal Processing, submitted November 2018.

G. Wang, G. B. Giannakis, and J. Chen, "Training Single-Hidden-Layer ReLU Networks to Global Optimality on Linearly Separable Data," IEEE Transactions on Signal Processing, submitted August 2018.

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.

Chen, Jie

J. Chen, G. Wang, and G. B. Giannakis, "Graph Multiview Canonical Correlation Analysis," IEEE Transactions on Signal Processing, submitted November 2018.

G. Wang, G. B. Giannakis, and J. Chen, "Training Single-Hidden-Layer ReLU Networks to Global Optimality on Linearly Separable Data," IEEE Transactions on Signal Processing, submitted August 2018.

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.

Chen, Tianyi

B. Li, T. Chen, and G. B. Giannakis, "Multi-armed Bandit with Unknown Delays," IEEE Transactions on Automatic Control , submitted December 2018.

B. Li, T. Chen, and G. B. Giannakis, "'Secure Mobile Edge Computing in IoT via Collaborative Online Learning," IEEE Transactions on Signal Processing, submitted October 2018.

T. Chen, S. Barbarossa, X. Wang, G. B. Giannakis, and Z.-L. Zhang, "Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability," Proceedings of the IEEE, submitted June 2018; revised October 2018.

Y. Shen, T. Chen, and G. B. Giannakis, "Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics," Journal of Machine Learning Research, submitted January 2018; revised September 2018.

D'Urso, Gennaro

F. Gao, C. Wang, G. B. Giannakis, C. Myers, G. D'Urso, and X. Cai, "Efficient Proximal Gradient Algorithm for Inference of Differential Gene Networks," Genome Biology, submitted April 2018.

Gao, Feng

F. Gao, C. Wang, G. B. Giannakis, C. Myers, G. D'Urso, and X. Cai, "Efficient Proximal Gradient Algorithm for Inference of Differential Gene Networks," Genome Biology, submitted April 2018.

Giannakis, Georgios B.

D. K. Berberidis and G. B. Giannakis, "Node Embedding with Adaptive Similarities for Scalable Learning over Graphs," IEEE Transactions on Knowledge and Data Engineering, submitted December 2018.

A. Sadeghi, F. Sheikholeslami, A. G. Marqués, and G. B. Giannakis, "Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing," IEEE Journal on Selected Areas in Communications, submitted December 2018.

B. Li, T. Chen, and G. B. Giannakis, "Multi-armed Bandit with Unknown Delays," IEEE Transactions on Automatic Control , submitted December 2018.

J. Chen, G. Wang, and G. B. Giannakis, "Graph Multiview Canonical Correlation Analysis," IEEE Transactions on Signal Processing, submitted November 2018.

L. Zhang, G. Wang, and G. B. Giannakis, "Real-time Power System State Estimation and Forecasting via Deep Neural Networks," IEEE Transactions on Power Systems, submitted November 2018.

B. Li, T. Chen, and G. B. Giannakis, "'Secure Mobile Edge Computing in IoT via Collaborative Online Learning," IEEE Transactions on Signal Processing, submitted October 2018.

Y. Shen, G. B. Giannakis, and B. Baingana, "Nonlinear Structural Vector Autoregressive Models with Application to Directed Brain Networks," IEEE Transactions on Signal Processing, submitted September 2018.

V. N. Ioannidis, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, "Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection," IEEE Transactions on Knowledge and Data Engineering, submitted September 2018.

Y. Shen, G. Leus, and G. B. Giannakis, "Online Graph-Adaptive Learning with Scalability and Privacy," IEEE Transactions on Signal Processing, submitted August 2018; revised December 2018.

G. Wang, G. B. Giannakis, and J. Chen, "Training Single-Hidden-Layer ReLU Networks to Global Optimality on Linearly Separable Data," IEEE Transactions on Signal Processing, submitted August 2018.

P. Gimenez-Febrer, A. Pages-Zamore, and G. B. Giannakis, "Matrix Completion and Extrapolation via Kernel Regression," IEEE Transactions on Signal Processing, submitted July 2018.

T. Chen, S. Barbarossa, X. Wang, G. B. Giannakis, and Z.-L. Zhang, "Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability," Proceedings of the IEEE, submitted June 2018; revised October 2018.

V. N. Ioannidis, Y. Shen, and G. B. Giannakis, "Semi-Blind Inference of Topologies and Dynamical Processes over Graphs," IEEE Transactions on Signal Processing, submitted May 2018; revised October 2018.

F. Gao, C. Wang, G. B. Giannakis, C. Myers, G. D'Urso, and X. Cai, "Efficient Proximal Gradient Algorithm for Inference of Differential Gene Networks," Genome Biology, submitted April 2018.

D. Lee, D. K. Berberidis, and G. B. Giannakis, "Adaptive Bayesian Radio Tomography," IEEE Transactions on Signal Processing, submitted April 2018; revised October 2018.

Y. Shen, P. A. Traganitis, and G. B. Giannakis, "Graph-Adaptive Nonlinear Dimensionality Reduction," IEEE Transactions on Signal Processing, submitted March 2018.

Y. Shen, T. Chen, and G. B. Giannakis, "Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics," Journal of Machine Learning Research, submitted January 2018; revised September 2018.

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.

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.

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.

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.

Gimenez-Febrer, Pere

P. Gimenez-Febrer, A. Pages-Zamore, and G. B. Giannakis, "Matrix Completion and Extrapolation via Kernel Regression," IEEE Transactions on Signal Processing, submitted July 2018.

Ioannidis, Vassilis

V. N. Ioannidis, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, "Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection," IEEE Transactions on Knowledge and Data Engineering, submitted September 2018.

V. N. Ioannidis, Y. Shen, and G. B. Giannakis, "Semi-Blind Inference of Topologies and Dynamical Processes over Graphs," IEEE Transactions on Signal Processing, submitted May 2018; revised October 2018.

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. Lee, D. K. Berberidis, and G. B. Giannakis, "Adaptive Bayesian Radio Tomography," IEEE Transactions on Signal Processing, submitted April 2018; revised October 2018.

Leus, Geert

Y. Shen, G. Leus, and G. B. Giannakis, "Online Graph-Adaptive Learning with Scalability and Privacy," IEEE Transactions on Signal Processing, submitted August 2018; revised December 2018.

Li, Bingcong

B. Li, T. Chen, and G. B. Giannakis, "Multi-armed Bandit with Unknown Delays," IEEE Transactions on Automatic Control , submitted December 2018.

B. Li, T. Chen, and G. B. Giannakis, "'Secure Mobile Edge Computing in IoT via Collaborative Online Learning," IEEE Transactions on Signal Processing, submitted October 2018.

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.

Marqués, Antonio G.

A. Sadeghi, F. Sheikholeslami, A. G. Marqués, and G. B. Giannakis, "Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing," IEEE Journal on Selected Areas in Communications, submitted December 2018.

Myers, Chad

F. Gao, C. Wang, G. B. Giannakis, C. Myers, G. D'Urso, and X. Cai, "Efficient Proximal Gradient Algorithm for Inference of Differential Gene Networks," Genome Biology, submitted April 2018.

Pages-Zamora, Alba

P. Gimenez-Febrer, A. Pages-Zamore, and G. B. Giannakis, "Matrix Completion and Extrapolation via Kernel Regression," IEEE Transactions on Signal Processing, submitted July 2018.

Sadeghi, Alireza

A. Sadeghi, F. Sheikholeslami, A. G. Marqués, and G. B. Giannakis, "Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing," IEEE Journal on Selected Areas in Communications, submitted December 2018.

Sheikholeslami, Fatemeh

A. Sadeghi, F. Sheikholeslami, A. G. Marqués, and G. B. Giannakis, "Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing," IEEE Journal on Selected Areas in Communications, submitted December 2018.

Shen, Yanning

Y. Shen, G. B. Giannakis, and B. Baingana, "Nonlinear Structural Vector Autoregressive Models with Application to Directed Brain Networks," IEEE Transactions on Signal Processing, submitted September 2018.

Y. Shen, G. Leus, and G. B. Giannakis, "Online Graph-Adaptive Learning with Scalability and Privacy," IEEE Transactions on Signal Processing, submitted August 2018; revised December 2018.

V. N. Ioannidis, Y. Shen, and G. B. Giannakis, "Semi-Blind Inference of Topologies and Dynamical Processes over Graphs," IEEE Transactions on Signal Processing, submitted May 2018; revised October 2018.

Y. Shen, P. A. Traganitis, and G. B. Giannakis, "Graph-Adaptive Nonlinear Dimensionality Reduction," IEEE Transactions on Signal Processing, submitted March 2018.

Y. Shen, T. Chen, and G. B. Giannakis, "Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics," Journal of Machine Learning Research, submitted January 2018; revised September 2018.

Sidiropoulos, Nicholas D.

V. N. Ioannidis, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, "Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection," IEEE Transactions on Knowledge and Data Engineering, submitted September 2018.

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.

Y. Shen, P. A. Traganitis, and G. B. Giannakis, "Graph-Adaptive Nonlinear Dimensionality Reduction," IEEE Transactions on Signal Processing, submitted March 2018.

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, Chen

F. Gao, C. Wang, G. B. Giannakis, C. Myers, G. D'Urso, and X. Cai, "Efficient Proximal Gradient Algorithm for Inference of Differential Gene Networks," Genome Biology, submitted April 2018.

Wang, Gang

J. Chen, G. Wang, and G. B. Giannakis, "Graph Multiview Canonical Correlation Analysis," IEEE Transactions on Signal Processing, submitted November 2018.

L. Zhang, G. Wang, and G. B. Giannakis, "Real-time Power System State Estimation and Forecasting via Deep Neural Networks," IEEE Transactions on Power Systems, submitted November 2018.

G. Wang, G. B. Giannakis, and J. Chen, "Training Single-Hidden-Layer ReLU Networks to Global Optimality on Linearly Separable Data," IEEE Transactions on Signal Processing, submitted August 2018.

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.

Wang, Xin

T. Chen, S. Barbarossa, X. Wang, G. B. Giannakis, and Z.-L. Zhang, "Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability," Proceedings of the IEEE, submitted June 2018; revised October 2018.

Zamzam, Ahmed S.

V. N. Ioannidis, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, "Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection," IEEE Transactions on Knowledge and Data Engineering, submitted September 2018.

Zhang, Liang

L. Zhang, G. Wang, and G. B. Giannakis, "Real-time Power System State Estimation and Forecasting via Deep Neural Networks," IEEE Transactions on Power Systems, submitted November 2018.

T. Chen, S. Barbarossa, X. Wang, G. B. Giannakis, and Z.-L. Zhang, "Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability," Proceedings of the IEEE, submitted June 2018; revised October 2018.

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.

Zhang, Zhi-Li

T. Chen, S. Barbarossa, X. Wang, G. B. Giannakis, and Z.-L. Zhang, "Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability," Proceedings of the IEEE, submitted June 2018; revised October 2018.