Takip et
Kejun Huang
Kejun Huang
University of Florida
ufl.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
11332017
Non-negative matrix factorization revisited: Uniqueness and algorithm for symmetric decomposition
K Huang, ND Sidiropoulos, A Swami
IEEE Transactions on Signal Processing 62 (1), 211-224, 2013
2742013
Feasible point pursuit and successive approximation of non-convex QCQPs
O Mehanna, K Huang, B Gopalakrishnan, A Konar, ND Sidiropoulos
IEEE Signal Processing Letters 22 (7), 804-808, 2014
1902014
A flexible and efficient algorithmic framework for constrained matrix and tensor factorization
K Huang, ND Sidiropoulos, AP Liavas
IEEE Transactions on Signal Processing 64 (19), 5052-5065, 2016
1682016
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications.
X Fu, K Huang, ND Sidiropoulos, WK Ma
IEEE Signal Processing Magazine 36 (2), 59-80, 2019
1672019
Consensus-ADMM for general quadratically constrained quadratic programming
K Huang, ND Sidiropoulos
IEEE Transactions on Signal Processing 64 (20), 5297-5310, 2016
1412016
Blind separation of quasi-stationary sources: Exploiting convex geometry in covariance domain
X Fu, WK Ma, K Huang, ND Sidiropoulos
IEEE Transactions on Signal Processing 63 (9), 2306-2320, 2015
1032015
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
982016
Phase retrieval from 1D Fourier measurements: Convexity, uniqueness, and algorithms
K Huang, YC Eldar, ND Sidiropoulos
IEEE Transactions on Signal Processing 64 (23), 6105-6117, 2016
702016
On identifiability of nonnegative matrix factorization
X Fu, K Huang, ND Sidiropoulos
IEEE Signal Processing Letters 25 (3), 328-332, 2018
692018
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
532015
Anchor-free correlated topic modeling: Identifiability and algorithm
K Huang, X Fu, ND Sidiropoulos
Advances in Neural Information Processing Systems 29, 1786-1794, 2016
482016
Streaming tensor factorization for infinite data sources
S Smith, K Huang, ND Sidiropoulos, G Karypis
Proceedings of the 2018 SIAM International Conference on Data Mining, 81-89, 2018
392018
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
382015
Scalable and flexible multiview MAX-VAR canonical correlation analysis
X Fu, K Huang, M Hong, ND Sidiropoulos, AMC So
IEEE Transactions on Signal Processing 65 (16), 4150-4165, 2017
372017
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
342020
Phase retrieval using feasible point pursuit: Algorithms and Cramér–Rao bound
C Qian, ND Sidiropoulos, K Huang, L Huang, HC So
IEEE Transactions on Signal Processing 64 (20), 5282-5296, 2016
342016
Putting nonnegative matrix factorization to the test: a tutorial derivation of pertinent Cramer—Rao bounds and performance benchmarking
K Huang, ND Sidiropoulos
IEEE Signal Processing Magazine 31 (3), 76-86, 2014
302014
Nesterov-based alternating optimization for nonnegative tensor factorization: Algorithm and parallel implementation
AP Liavas, G Kostoulas, G Lourakis, K Huang, ND Sidiropoulos
IEEE Transactions on Signal Processing 66 (4), 944-953, 2017
282017
Efficient and distributed algorithms for large-scale generalized canonical correlations analysis
X Fu, K Huang, EE Papalexakis, HA Song, PP Talukdar, ND Sidiropoulos, ...
2016 IEEE 16th international conference on data mining (ICDM), 871-876, 2016
242016
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