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Charilaos Kanatsoulis
Charilaos Kanatsoulis
Postdoctoral Researcher, Electrical & Systems Engineering, University of Pennsylvania
Verified email at umn.edu - Homepage
Title
Cited by
Cited by
Year
Hyperspectral super-resolution: A coupled tensor factorization approach
CI Kanatsoulis, X Fu, ND Sidiropoulos, WK Ma
IEEE Transactions on Signal Processing 66 (24), 6503-6517, 2018
1182018
Tensor completion from regular sub-nyquist samples
CI Kanatsoulis, X Fu, ND Sidiropoulos, M Akçakaya
IEEE Transactions on Signal Processing 68, 1-16, 2019
342019
Structured SUMCOR multiview canonical correlation analysis for large-scale data
CI Kanatsoulis, X Fu, ND Sidiropoulos, M Hong
IEEE Transactions on Signal Processing 67 (2), 306-319, 2018
302018
Hyperspectral super-resolution: Combining low rank tensor and matrix structure
CI Kanatsoulis, X Fu, ND Sidiropoulos, WK Ma
2018 25th IEEE International Conference on Image Processing (ICIP), 3318-3322, 2018
222018
Hyperspectral super-resolution via coupled tensor factorization: Identifiability and algorithms
CI Kanatsoulis, X Fu, ND Sidiropoulos, WK Ma
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
162018
Regular sampling of tensor signals: Theory and application to fMRI
CI Kanatsoulis, ND Sidiropoulos, M Akçakaya, X Fu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
122019
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing
CI Kanatsoulis, ND Sidiropoulos
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
112021
Generalized canonical correlation analysis: A subspace intersection approach
M Sørensen, CI Kanatsoulis, ND Sidiropoulos
IEEE Transactions on Signal Processing 69, 2452-2467, 2021
102021
Prema: Principled Tensor Data Recovery From Multiple Aggregated Views
FM Almutairi, CI Kanatsoulis, ND Sidiropoulos
IEEE Journal of Selected Topics in Signal Processing 15 (3), 535-549, 2021
62021
Large-scale canonical polyadic decomposition via regular tensor sampling
CI Kanatsoulis, ND Sidiropoulos
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
62019
Tendi: Tensor disaggregation from multiple coarse views
FM Almutairi, CI Kanatsoulis, ND Sidiropoulos
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 867-880, 2020
32020
Space-time graph neural networks
S Hadou, CI Kanatsoulis, A Ribeiro
arXiv preprint arXiv:2110.02880, 2021
22021
Large-scale regularized sumcor GCCA via penalty-dual decomposition
CI Kanatsoulis, X Fu, ND Sidiropoulos, M Hong
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
12018
Max-min feasible point pursuit for non-convex QCQP
CI Kanatsoulis, ND Sidiropoulos
2015 49th Asilomar Conference on Signals, Systems and Computers, 401-405, 2015
12015
Graph Neural Networks Are More Powerful Than we Think
CI Kanatsoulis, A Ribeiro
arXiv preprint arXiv:2205.09801, 2022
2022
GAGE: Geometry Preserving Attributed Graph Embeddings
CI Kanatsoulis, ND Sidiropoulos
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
2022
Downlink Channel Feedback for FDD Massive MIMO Systems via Tensor Compression and Sampling
MS Ibrahim, CI Kanatsoulis, ND Sidiropoulos
2020 54th Asilomar Conference on Signals, Systems, and Computers, 27-31, 2020
2020
Tensor Methods for Signal Reconstruction and Network Embedding
CI Kanatsoulis
University of Minnesota, 2020
2020
About the Cover: The graphic on the cover is a flow diagram of the method proposed in “Source Counting and Separation Based on Simplex Analysis” by Laufer-Goldshtein, Talmon …
R Hayakawa, K Hayashi, A Aubry, A De Maio, A Zappone, M Razaviyayn, ...
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