Követés
Xiao Fu
Xiao Fu
Associate Professor, EECS, Oregon State University
E-mail megerősítve itt: oregonstate.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
16812017
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
11182017
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
7572018
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
4052017
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
2922019
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
2192018
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
1822019
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
1392015
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
1262016
On identifiability of nonnegative matrix factorization
X Fu, K Huang, ND Sidiropoulos
IEEE Signal Processing Letters 25 (3), 328-332, 2018
1102018
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
1082017
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
1002016
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
99*2015
Anchor-free correlated topic modeling: Identifiability and algorithm
K Huang, X Fu, ND Sidiropoulos
Advances in Neural Information Processing Systems 29, 2016
772016
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
662020
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
622020
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
612018
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
602015
Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors.
YC Miao, XL Zhao, X Fu, JL Wang, YB Zheng
IEEE Trans. Geosci. Remote. Sens. 60, 1-16, 2022
542022
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
542020
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Cikkek 1–20