| 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 | 1107 | 2017 |
| 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 | 273 | 2013 |
| 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 | 187 | 2014 |
| 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 | 167 | 2016 |
| 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 | 160 | 2019 |
| Consensus-ADMM for general quadratically constrained quadratic programming K Huang, ND Sidiropoulos IEEE Transactions on Signal Processing 64 (20), 5297-5310, 2016 | 138 | 2016 |
| 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 | 103 | 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 | 96 | 2016 |
| 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 | 69 | 2016 |
| On identifiability of nonnegative matrix factorization X Fu, K Huang, ND Sidiropoulos IEEE Signal Processing Letters 25 (3), 328-332, 2018 | 66 | 2018 |
| 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 | 53 | 2015 |
| Anchor-free correlated topic modeling: Identifiability and algorithm K Huang, X Fu, ND Sidiropoulos Advances in Neural Information Processing Systems 29, 1786-1794, 2016 | 47 | 2016 |
| 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 | 39 | 2018 |
| 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 | 38 | 2015 |
| 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 | 36 | 2017 |
| 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 | 34 | 2020 |
| 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 | 33 | 2016 |
| 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 | 30 | 2014 |
| 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 | 28 | 2017 |
| 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 | 24 | 2016 |
Nikolaos SidiropoulosLouis T. Rader Professor and Chair, Electrical & Computer Engineering, University of VirginiaVerified email at virginia.edu
