| Tensor decomposition for signal processing and machine learning ND Sidiropoulos, L De Lathauwer, X Fu, K Huang, EE Papalexakis, ... IEEE Transactions on signal processing 65 (13), 3551-3582, 2017 | 1750 | 2017 |
| Towards k-means-friendly spaces: Simultaneous deep learning and clustering B Yang, X Fu, ND Sidiropoulos, M Hong international conference on machine learning, 3861-3870, 2017 | 1168 | 2017 |
| Learning to optimize: Training deep neural networks for interference management H Sun, X Chen, Q Shi, M Hong, X Fu, ND Sidiropoulos IEEE Transactions on Signal Processing 66 (20), 5438-5453, 2018 | 789 | 2018 |
| Learning to optimize: Training deep neural networks for wireless resource management H Sun, X Chen, Q Shi, M Hong, X Fu, ND Sidiropoulos 2017 IEEE 18th International Workshop on Signal Processing Advances in …, 2017 | 411 | 2017 |
| Nonnegative matrix factorization for signal and data analytics: Identifiability, algorithms, and applications. X Fu, K Huang, ND Sidiropoulos, WK Ma IEEE Signal Process. Mag. 36 (2), 59-80, 2019 | 302 | 2019 |
| 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 | 231 | 2018 |
| Data-driven learning-based optimization for distribution system state estimation AS Zamzam, X Fu, ND Sidiropoulos IEEE Transactions on Power Systems 34 (6), 4796-4805, 2019 | 199 | 2019 |
| Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain. X Fu, WK Ma, K Huang, ND Sidiropoulos IEEE Trans. Signal Processing 63 (9), 2306-2320, 2015 | 144 | 2015 |
| Robust volume minimization-based matrix factorization for remote sensing and document clustering X Fu, K Huang, B Yang, WK Ma, ND Sidiropoulos IEEE Transactions on Signal Processing 64 (23), 6254-6268, 2016 | 131 | 2016 |
| On identifiability of nonnegative matrix factorization X Fu, K Huang, ND Sidiropoulos IEEE Signal Processing Letters 25 (3), 328-332, 2018 | 116 | 2018 |
| Fast unit-modulus least squares with applications in beamforming J Tranter, ND Sidiropoulos, X Fu, A Swami IEEE Transactions on Signal Processing 65 (11), 2875-2887, 2017 | 114 | 2017 |
| Anchor-free correlated topic modeling X Fu, K Huang, ND Sidiropoulos, Q Shi, M Hong IEEE transactions on pattern analysis and machine intelligence 41 (5), 1056-1071, 2018 | 103* | 2018 |
| Semiblind hyperspectral unmixing in the presence of spectral library mismatches X Fu, WK Ma, JM Bioucas-Dias, TH Chan IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5171-5184, 2016 | 102 | 2016 |
| Self-dictionary sparse regression for hyperspectral unmixing: Greedy pursuit and pure pixel search are related X Fu, WK Ma, TH Chan, JM Bioucas-Dias IEEE Journal of Selected Topics in Signal Processing 9 (6), 1128-1141, 2015 | 100* | 2015 |
| Spectrum cartography via coupled block-term tensor decomposition G Zhang, X Fu, J Wang, XL Zhao, M Hong IEEE Transactions on Signal Processing 68, 3660-3675, 2020 | 71 | 2020 |
| Hyperspectral super-resolution via interpretable block-term tensor modeling M Ding, X Fu, TZ Huang, J Wang, XL Zhao IEEE Journal of Selected Topics in Signal Processing 15 (3), 641-656, 2020 | 69 | 2020 |
| Hyperspectral super-resolution via interpretable block-term tensor modeling M Ding, X Fu, TZ Huang, J Wang, XL Zhao IEEE Journal of Selected Topics in Signal Processing 15 (3), 641-656, 2020 | 69 | 2020 |
| Tensor-based channel estimation for dual-polarized massive MIMO systems C Qian, X Fu, ND Sidiropoulos, Y Yang IEEE Transactions on Signal Processing 66 (24), 6390-6403, 2018 | 67 | 2018 |
| Deep spectrum cartography: Completing radio map tensors using learned neural models S Shrestha, X Fu, M Hong IEEE Transactions on Signal Processing 70, 1170-1184, 2022 | 61 | 2022 |
| Joint tensor factorization and outlying slab suppression with applications X Fu, K Huang, WK Ma, ND Sidiropoulos, R Bro IEEE Transactions on Signal Processing 63 (23), 6315-6328, 2015 | 60 | 2015 |
Nikolaos SidiropoulosLouis T. Rader Professor, Electrical & Computer Engineering, University of Virginia在 virginia.edu 的电子邮件经过验证