Median K-Flats for hybrid linear modeling with many outliers. - Teng Zhang 002; Arthur Szlam; Gilad Lerman (ICCV Workshops, 2009)

Randomized hybrid linear modeling by local best-fit flats. - Teng Zhang 002; Arthur Szlam; Yi Wang 009; Gilad Lerman (CVPR, 2010)

lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers - Gilad Lerman; Teng Zhang 002 (CoRR, 2010)

Robust computation of linear models, or How to find a needle in a haystack - Gilad Lerman; Michael B. McCoy; Joel A. Tropp; Teng Zhang 002 (CoRR, 2012)

Hybrid Linear Modeling via Local Best-Fit Flats. - Teng Zhang 002; Arthur Szlam; Yi Wang 009; Gilad Lerman (Int. J. Comput. Vis., 2012)

Robust Stochastic Principal Component Analysis. - John Goes; Teng Zhang 002; Raman Arora; Gilad Lerman (AISTATS, 2014)

A novel M-estimator for robust PCA. - Teng Zhang 002; Gilad Lerman (J. Mach. Learn. Res., 2014)

Orthogonal matrix retrieval in cryo-electron microscopy. - Tejal Bhamre; Teng Zhang 002; Amit Singer (ISBI, 2015)

Robust Computation of Linear Models by Convex Relaxation. - Gilad Lerman; Michael B. McCoy; Joel A. Tropp; Teng Zhang 002 (Found. Comput. Math., 2015)

Denoising and Covariance Estimation of Single Particle Cryo-EM Images. - Tejal Bhamre; Teng Zhang 002; Amit Singer (CoRR, 2016)

Marčenko-Pastur law for Tyler's M-estimator. - Teng Zhang 002; Xiuyuan Cheng; Amit Singer (J. Multivar. Anal., 2016)

Estimation of Safe Sensor Measurements of Autonomous System Under Attack. - Raj Gautam Dutta; Xiaolong Guo; Teng Zhang 002; Kevin A. Kwiat; Charles A. Kamhoua; Laurent Njilla; Yier Jin (DAC, 2017)

Anisotropic twicing for single particle reconstruction using autocorrelation analysis. - Tejal Bhamre; Teng Zhang 002; Amit Singer (CoRR, 2017)

Spectral Clustering Based on Local PCA. - Ery Arias-Castro; Gilad Lerman; Teng Zhang 002 (J. Mach. Learn. Res., 2017)

A Majorization-Minimization Algorithm for Computing the Karcher Mean of Positive Definite Matrices. - Teng Zhang 002 (SIAM J. Matrix Anal. Appl., 2017)

Security for safety: a path toward building trusted autonomous vehicles. - Raj Gautam Dutta; Feng Yu 016; Teng Zhang 002; Yaodan Hu; Yier Jin (ICCAD, 2018)

Phase Retrieval Using Alternating Minimization in a Batch Setting. - Teng Zhang 002 (ITA, 2018)

Exact Camera Location Recovery by Least Unsquared Deviations. - Gilad Lerman; Yunpeng Shi; Teng Zhang 002 (SIAM J. Imaging Sci., 2018)

Resilient Distributed Filter for State Estimation of Cyber-Physical Systems Under Attack. - Raj Gautam Dutta; Teng Zhang 002; Yier Jin (ACC, 2019)

A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. - Tyler Maunu; Teng Zhang 002; Gilad Lerman (J. Mach. Learn. Res., 2019)

Special Issue: Resilient Distributed Estimator with Information Consensus for CPS Security. - Feng Yu 016; Yaodan Hu; Teng Zhang 002; Yier Jin (ICCD, 2020)

CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. - Honggang Yu; Kaichen Yang; Teng Zhang 002; Yun-Yun Tsai; Tsung-Yi Ho; Yier Jin (NDSS, 2020)

Platform-integrated mRNA isoform quantification. - Jiao Sun; Jae-Woong Chang; Teng Zhang 002; Jeongsik Yong; Rui Kuang; Wei Zhang 076 (Bioinform., 2020)

Network-based multi-task learning models for biomarker selection and cancer outcome prediction. - Zhibo Wang; Zhezhi He; Milan Shah; Teng Zhang 002; Deliang Fan; Wei Zhang 076 (Bioinform., 2020)

Phase retrieval of complex-valued objects via a randomized Kaczmarz method. - Teng Zhang 002 (CoRR, 2020)

Robust discriminant analysis using multi-directional projection pursuit. - Hsin-Hsiung Huang; Teng Zhang 002 (Pattern Recognit. Lett., 2020)

Fast Attack-Resilient Distributed State Estimator for Cyber-Physical Systems. - Feng Yu 016; Raj Gautam Dutta; Teng Zhang 002; Yaodan Hu; Yier Jin (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Phase Retrieval by Alternating Minimization With Random Initialization. - Teng Zhang 002 (IEEE Trans. Inf. Theory, 2020)

Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers. - Honggang Yu; Shihfeng Zeng; Teng Zhang 002; Ing-Chao Lin; Yier Jin (CoRR, 2021)

Robust Regularized Low-Rank Matrix Models for Regression and Classification. - Hsin-Hsiung Huang; Feng Yu 016; Xing Fan; Teng Zhang 002 (CoRR, 2022)

ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network. - Xing Fan; Marianna Pensky; Feng Yu 016; Teng Zhang 002 (J. Mach. Learn. Res., 2022)

Design and Analysis of Secure Distributed Estimator for Vehicular Platooning in Adversarial Environment. - Raj Gautam Dutta; Yaodan Hu; Feng Yu 016; Teng Zhang 002; Yier Jin (IEEE Trans. Intell. Transp. Syst., 2022)

Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions. - Joong-Ho Won; Teng Zhang 002; Hua Zhou 001 (SIAM J. Optim., 2022)

Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations. - Casey Garner; Gilad Lerman; Teng Zhang 002 (CoRR, 2023)

A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion. - Feng Yu; Teng Zhang 002; Gilad Lerman (CVPR, 2024)

A framework of regularized low-rank matrix models for regression and classification. - Hsin-Hsiung Huang; Feng Yu 016; Xing Fan; Teng Zhang 002 (Stat. Comput., 2024)

Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery. - Gilad Lerman; Kang Li; Tyler Maunu; Teng Zhang 002 (CoRR, 2025)

Theoretical Guarantees for Sparse Principal Component Analysis Based on the Elastic Net. - Haoyi Yang; Teng Zhang 002; Lingzhou Xue (IEEE Trans. Inf. Theory, 2025)