| 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 | 197 | 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 | 52 | 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 | 39 | 2018 |
| Generalized canonical correlation analysis: A subspace intersection approach M Sørensen, CI Kanatsoulis, ND Sidiropoulos IEEE Transactions on Signal Processing 69, 2452-2467, 2021 | 30 | 2021 |
| 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 | 27 | 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 | 26 | 2018 |
| 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 | 18 | 2021 |
| Space-time graph neural networks S Hadou, CI Kanatsoulis, A Ribeiro arXiv preprint arXiv:2110.02880, 2021 | 17 | 2021 |
| 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 | 14 | 2019 |
| Graph neural networks are more powerful than we think CI Kanatsoulis, A Ribeiro ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 12 | 2024 |
| 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 | 10 | 2021 |
| Large-scale canonical polyadic decomposition via regular tensor sampling CI Kanatsoulis, ND Sidiropoulos 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 8 | 2019 |
| Tendi: Tensor disaggregation from multiple coarse views FM Almutairi, CI Kanatsoulis, ND Sidiropoulos Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 7 | 2020 |
| Space-time graph neural networks with stochastic graph perturbations S Hadou, CI Kanatsoulis, A Ribeiro ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Multi-Target Tracking with Transferable Convolutional Neural Networks D Owerko, CI Kanatsoulis, J Bondarchuk, DJ Bucci, A Ribeiro 2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023 | 2 | 2023 |
| Gage: Geometry preserving attributed graph embeddings CI Kanatsoulis, ND Sidiropoulos Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 2 | 2022 |
| Solving Large-scale Spatial Problems with Convolutional Neural Networks D Owerko, CI Kanatsoulis, A Ribeiro 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1064-1069, 2023 | 1 | 2023 |
| Network Alignment with Transferable Graph Autoencoders J He, CI Kanatsoulis, A Ribeiro arXiv preprint arXiv:2310.03272, 2023 | 1 | 2023 |
| Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis CI Kanatsoulis, A Ribeiro arXiv preprint arXiv:2205.09801, 2022 | 1 | 2022 |
| Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach. D Owerko, C Kanatsoulis, A Ribeiro, DJ Bucci Jr, J Bondarchuk arXiv preprint arXiv:2210.15539, 2022 | 1 | 2022 |
Nikolaos SidiropoulosLouis T. Rader Professor, Electrical & Computer Engineering, University of VirginiaVerified email at virginia.edu
