| 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 | 120 | 2018 |
| Tensor completion from regular sub-nyquist samples CI Kanatsoulis, X Fu, ND Sidiropoulos, M Akçakaya IEEE Transactions on Signal Processing 68, 1-16, 2019 | 36 | 2019 |
| 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 | 30 | 2018 |
| 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 | 22 | 2018 |
| 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 | 16 | 2018 |
| 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 | 12 | 2019 |
| Generalized canonical correlation analysis: A subspace intersection approach M Sørensen, CI Kanatsoulis, ND Sidiropoulos IEEE Transactions on Signal Processing 69, 2452-2467, 2021 | 11 | 2021 |
| 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 | 11 | 2021 |
| 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 | 6 | 2021 |
| Large-scale canonical polyadic decomposition via regular tensor sampling CI Kanatsoulis, ND Sidiropoulos 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 6 | 2019 |
| Space-time graph neural networks S Hadou, CI Kanatsoulis, A Ribeiro arXiv preprint arXiv:2110.02880, 2021 | 4 | 2021 |
| 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 | 3 | 2020 |
| 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 | 1 | 2018 |
| 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 | 1 | 2015 |
| 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, ... | | |
Nikolaos SidiropoulosLouis T. Rader Professor and Chair, Electrical & Computer Engineering, University of VirginiaVerified email at virginia.edu
