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Publications: Journal Papers Submitted


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1.

M. Ma, A. Nikolakopoulos, and G. B. Giannakis, "Fast Decentralized Learning on Graphs," Journal of Applied Signal Processing, EURASIP, submitted March 2018.


2.

V. N. Ioannidis, Y. Shen, and G. B. Giannakis, "Joint Inference of Topologies and Signals over Graphs," IEEE Transactions on Signal Processing, submitted March 2018.


3.

J. Chen, G. Wang, Y. Shen, and G. B. Giannakis, "Canonical Correlation Analysis of Signals on Graphs," IEEE Transactions on Signal Processing, submitted February 2018.


4.

Y. Shen, P. A. Traganitis, and G. B. Giannakis, "Nonlinear Dimensionality Reduction over Graphs," IEEE Transactions on Signal Processing, submitted February 2018.


5.

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.


6.

T. Chen, Q. Ling, Y. Shen, and G. B. Giannakis, "Heterogeneous Online Learning for “Thing-Adaptive” Low-Latency Fog Computing in IoT," IEEE Internet of Things Journal, submitted January 2018.


7.

L. Zhang, G. Wang, G. B. Giannakis, and J. Chen, "Compressive Phase Retrieval via Reweighted Amplitude Flow," IEEE Transactions on Signal Processing, submitted January 2018.


8.

P. A. Traganitis, A. Pages-Zamore, and G. B. Giannakis, "Blind Multi-Class Ensemble Learning with Unequally Reliable Classifiers," IEEE Transactions on Signal Processing, submitted December 2017.


9.

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; revised February 2018.


10.

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.


11.

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.


12.

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


13.

F. Sheikholeslami and G. B. Giannakis, "Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition," IEEE Transactions on Signal Processing, submitted July 2017; revised February 2018.


14.

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.


15.

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


16.

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.


17.

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.


18.

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.


19.

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.


20.

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.