Xiao Fu
Xiao Fu
Assistant Professor, EECS, Oregon State University
Verified email at oregonstate.edu - Homepage
TitleCited byYear
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
3842017
Towards k-means-friendly spaces: Simultaneous deep learning and clustering
B Yang, X Fu, ND Sidiropoulos, M Hong
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1412017
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
1292018
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
55*2015
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
50*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
392016
Translation invariant word embeddings
K Huang, M Gardner, E Papalexakis, C Faloutsos, N Sidiropoulos, ...
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
322015
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
312016
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
312015
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
282015
Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach
CI Kanatsoulis, X Fu, ND Sidiropoulos, WK Ma
arXiv preprint arXiv:1804.05307, 2018
272018
Anchor-free correlated topic modeling: Identifiability and algorithm
K Huang, X Fu, ND Sidiropoulos
Advances in Neural Information Processing Systems, 1786-1794, 2016
272016
Joint power management and beamforming for base stations in cognitive radio systems
X Fu, J Wang, S Li
2009 6th International Symposium on Wireless Communication Systems, 403-407, 2009
272009
Nonnegative matrix factorization for signal and data analytics: Identifiability, algorithms, and applications
X Fu, K Huang, ND Sidiropoulos, WK Ma
arXiv preprint arXiv:1803.01257, 2018
242018
On identifiability of nonnegative matrix factorization
X Fu, K Huang, ND Sidiropoulos
IEEE Signal Processing Letters 25 (3), 328-332, 2018
232018
Penalty dual decomposition method for nonsmooth nonconvex optimization
Q Shi, M Hong, X Fu, TH Chang
arXiv preprint arXiv:1712.04767, 2017
182017
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
182017
Data-driven learning-based optimization for distribution system state estimation
AS Zamzam, X Fu, ND Sidiropoulos
IEEE Transactions on Power Systems, 2019
132019
Power spectra separation via structured matrix factorization
X Fu, N Sidiropoulos, WK Ma
IEEE, 2015
132015
Learning from hidden traits: Joint factor analysis and latent clustering
B Yang, X Fu, ND Sidiropoulos
IEEE Transactions on Signal Processing 65 (1), 256-269, 2017
122017
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Articles 1–20