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 | 1578 | 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 | 1052 | 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 | 702 | 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 | 386 | 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 | 274 | 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 | 200 | 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 | 176 | 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 | 135 | 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 | 121 | 2016 |
On identifiability of nonnegative matrix factorization X Fu, K Huang, ND Sidiropoulos IEEE Signal Processing Letters 25 (3), 328-332, 2018 | 108 | 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 | 97 | 2017 |
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 | 92 | 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 | 76 | 2015 |
Anchor-free correlated topic modeling: Identifiability and algorithm K Huang, X Fu, ND Sidiropoulos Advances in Neural Information Processing Systems 29, 2016 | 73 | 2016 |
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 | 58 | 2020 |
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 | 58 | 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 | 53 | 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 | 53 | 2018 |
Block-randomized stochastic proximal gradient for low-rank tensor factorization X Fu, S Ibrahim, HT Wai, C Gao, K Huang IEEE Transactions on Signal Processing 68, 2170-2185, 2020 | 52 | 2020 |
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 |