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Publications: Journal Papers Submitted


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1.

Q. Yang, G. Wang, A. Sadeghi, G. B. Giannakis, and J. Sun, "Real-time Voltage Control Using Deep Reinforcement Learning," IEEE Transactions on Smart Grid, submitted April 2019.


2.

F. Sheikholeslami, S. Jain, and G. B. Giannakis, "Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks," IEEE Transactions on Pattern Recognition and Machine Intelligence, submitted April 2019.


3.

L. Zhang, G. Wang, and G. B. Giannakis, "Real-time Power System State Estimation and Forecasting via Deep Neural Networks," IEEE Transactions on Signal Processing, submitted March 2019.


4.

A. Sadeghi, G. Wang, and G. B. Giannakis, "Adaptive Caching via Deep Reinforcement Learning," IEEE Transactions on Cognitive Communications and Networking, submitted February 2019.


5.

B. Li, T. Chen, and G. B. Giannakis, "Multi-armed Bandit with Unknown Delays," IEEE Transactions on Automatic Control , submitted January 2019.


6.

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; revised March 2019.


7.

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; April 2019.


8.

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.


9.

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; April 2019.


10.

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; April 2019.


11.

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; revised March 2019.


12.

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


13.

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


14.

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.


15.

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.


16.

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.


17.

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.