Teng Zhang
Teng Zhang
Department of Mathematics, University of Central Florida
Verified email at - Homepage
Cited by
Cited by
Hybrid linear modeling via local best-fit flats
T Zhang, A Szlam, Y Wang, G Lerman
International journal of computer vision 100 (3), 217-240, 2012
Median k-flats for hybrid linear modeling with many outliers
T Zhang, A Szlam, G Lerman
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
Robust computation of linear models by convex relaxation
G Lerman, MB McCoy, JA Tropp, T Zhang
Foundations of Computational Mathematics 15, 363-410, 2015
Sparse precision matrix estimation via lasso penalized d-trace loss
T Zhang, H Zou
Biometrika 99 (1), 1-18, 2012
CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples.
H Yu, K Yang, T Zhang, YY Tsai, TY Ho, Y Jin
NDSS 38, 102, 2020
A novel m-estimator for robust pca
T Zhang, G Lerman
The Journal of Machine Learning Research 15 (1), 749-808, 2014
Robust recovery of multiple subspaces by geometric lp minimization
G Lerman, T Zhang
Spectral clustering in the dynamic stochastic block model
M Pensky, T Zhang
Spectral clustering based on local PCA
E Arias-Castro, G Lerman, T Zhang
Journal of Machine Learning Research 18 (9), 1-57, 2017
Multivariate generalized Gaussian distribution: Convexity and graphical models
T Zhang, A Wiesel, MS Greco
IEEE Transactions on Signal Processing 61 (16), 4141-4148, 2013
Denoising and covariance estimation of single particle cryo-EM images
T Bhamre, T Zhang, A Singer
Journal of structural biology 195 (1), 72-81, 2016
A well-tempered landscape for non-convex robust subspace recovery
T Maunu, T Zhang, G Lerman
Journal of Machine Learning Research 20 (37), 1-59, 2019
Marčenko–Pastur law for Tyler’s M-estimator
T Zhang, X Cheng, A Singer
Journal of Multivariate Analysis 149, 114-123, 2016
Robust stochastic principal component analysis
J Goes, T Zhang, R Arora, G Lerman
Artificial Intelligence and Statistics, 266-274, 2014
Robust PCA by manifold optimization
T Zhang, Y Yang
Journal of Machine Learning Research 19 (80), 1-39, 2018
Randomized hybrid linear modeling by local best-fit flats
T Zhang, A Szlam, Y Wang, G Lerman
2010 ieee computer society conference on computer vision and pattern …, 2010
Structured robust covariance estimation
A Wiesel, T Zhang
Foundations and TrendsŪ in Signal Processing 8 (3), 127-216, 2015
Robust subspace recovery by Tyler's M-estimator
T Zhang
Information and Inference: A Journal of the IMA 5 (1), 1-21, 2016
Estimation of safe sensor measurements of autonomous system under attack
RG Dutta, X Guo, T Zhang, K Kwiat, C Kamhoua, L Njilla, Y Jin
Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017
Spectral clustering based on local PCA
E Arias-Castro, G Lerman, T Zhang
arXiv preprint arXiv:1301.2007, 2013
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