Teng Zhang

发表

Probabilistic Recovery of Multiple Subspaces in Point Clouds by Geometric lp Minimization

G. Lerman, Teng Zhang, Gilad Lerman, 2010, 1002.1994.

Median K-Flats for hybrid linear modeling with many outliers

Gilad Lerman, Teng Zhang, Arthur Szlam, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Robust Computation of Linear Models by Convex Relaxation

Joel A. Tropp, Gilad Lerman, Teng Zhang, 2012, Foundations of Computational Mathematics.

Robust recovery of multiple subspaces by geometric l_p minimization

G. Lerman, Teng Zhang, Gilad Lerman, 2011, 1104.3770.

Disentangling orthogonal matrices.

A. Singer, Teng Zhang, 2015, Linear algebra and its applications.

Disentangling Two Orthogonal Matrices

A. Singer, Teng Zhang, 2015 .

Sparse precision matrix estimation via lasso penalized D-trace loss

H. Zou, Teng Zhang, 2014 .

Robust subspace recovery by geodesically convex optimization

Teng Zhang, 2012 .

Phase retrieval using alternating minimization in a batch setting

Teng Zhang, 2020 .

A Majorization-Minimization Algorithm for the Karcher Mean of Positive Definite Matrices

Teng Zhang, 2013 .

Element-wise estimation error of a total variation regularized estimator for change point detection.

Teng Zhang, 2019, 1901.00914.

Tightness of the semidefinite relaxation for orthogonal trace-sum maximization.

Teng Zhang, 2019, 1911.08700.

Robust Principal Component Analysis by Manifold Optimization

Teng Zhang, Teng Zhang, Yi Yang, 2017 .

Robust Computation of Linear Models by Convex Relaxation

J. Tropp, Michael B. McCoy, G. Lerman, 2014, Foundations of Computational Mathematics.

Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net

Lingzhou Xue, Teng Zhang, Haoyi Yang, 2022, 2212.14194.

Denoising and Covariance Estimation of Single Particle Cryo-EM Images

Amit Singer, Teng Zhang, Tejal Bhamre, 2016, Journal of structural biology.

Orthogonal matrix retrieval in cryo-electron microscopy

Amit Singer, Teng Zhang, Tejal Bhamre, 2014, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces

Yi Yang, Hui Zou, Teng Zhang, 2015, Technometrics.

Robust Stochastic Principal Component Analysis

Gilad Lerman, John Goes, Teng Zhang, 2014, AISTATS.

A novel M-estimator for robust PCA

Gilad Lerman, Teng Zhang, G. Lerman, 2011, J. Mach. Learn. Res..

Modeling data by multiple subspaces: theory and algorithms.

Teng Zhang, Teng Zhang, 2011 .

Robust subspace recovery by Tyler's M-estimator

Teng Zhang, 2012, 1206.1386.

$${l_p}$$lp-Recovery of the Most Significant Subspace Among Multiple Subspaces with Outliers

Gilad Lerman, Teng Zhang, G. Lerman, 2010, ArXiv.

CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples

Tsung-Yi Ho, Kaichen Yang, Teng Zhang, 2020, NDSS.

Estimation of safe sensor measurements of autonomous system under attack

Charles A. Kamhoua, Kevin A. Kwiat, Teng Zhang, 2017, 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC).

Robust PCA by Manifold Optimization

Teng Zhang, Yi Yang, Teng Zhang, 2017, J. Mach. Learn. Res..

A Well-Tempered Landscape for Non-convex Robust Subspace Recovery

Gilad Lerman, Teng Zhang, Tyler Maunu, 2017, J. Mach. Learn. Res..

Marčenko-Pastur law for Tyler's M-estimator

Amit Singer, Teng Zhang, Xiuyuan Cheng, 2014, J. Multivar. Anal..

Anisotropic twicing for single particle reconstruction using autocorrelation analysis pdf

Amit Singer, Teng Zhang, Tejal Bhamre, 2017, ArXiv.

Hybrid Linear Modeling via Local Best-Fit Flats

Arthur D. Szlam, G. Lerman, Teng Zhang, 2010, International Journal of Computer Vision.

Spectral Clustering Based on Local PCA

Gilad Lerman, Teng Zhang, Ery Arias-Castro, 2013, J. Mach. Learn. Res..

Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers pdf

Teng Zhang, Yier Jin, Honggang Yu, 2021, ArXiv.

Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net

Lingzhou Xue, Teng Zhang, Haoyi Yang, 2022, 2212.14194.

Structured Robust Covariance Estimation

Ami Wiesel, Teng Zhang, Teng Zhang, 2015, Found. Trends Signal Process..

Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models

Ami Wiesel, Teng Zhang, Maria Greco, 2013, IEEE Transactions on Signal Processing.

Phase retrieval of complex-valued objects via a randomized Kaczmarz method pdf

Teng Zhang, Teng Zhang, 2020, Information and Inference: A Journal of the IMA.

Resilient Distributed Filter for State Estimation of Cyber-Physical Systems Under Attack

Yier Jin, Raj Gautam Dutta, Teng Zhang, 2019, 2019 American Control Conference (ACC).

Security for Safety: A Path Toward Building Trusted Autonomous Vehicles

Feng Yu, Teng Zhang, Yier Jin, 2018, 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions

Joong-Ho Won, Hua Zhou, Teng Zhang, 2021, SIAM J. Optim..

Robust discriminant analysis using multi-directional projection pursuit

Teng Zhang, Hsin-Hsiung Huang, Teng Zhang, 2020, Pattern Recognit. Lett..

Hybrid Linear Modeling via Local Best-Fit Flats

Gilad Lerman, Teng Zhang, Arthur Szlam, 2010, International Journal of Computer Vision.

Phase retrieval of complex-valued objects via a randomized Kaczmarz method

Teng Zhang, 2020, Information and Inference: A Journal of the IMA.

Phase Retrieval by Alternating Minimization With Random Initialization

Teng Zhang, Teng Zhang, 2018, IEEE Transactions on Information Theory.

Phase Retrieval Using Alternating Minimization in a Batch Setting

Teng Zhang, Teng Zhang, 2017, 2018 Information Theory and Applications Workshop (ITA).

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Teng Zhang, Gilad Lerman, 2010, Constructive Approximation.

Randomized hybrid linear modeling by local best-fit flats

Gilad Lerman, Teng Zhang, Arthur Szlam, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.