Teng Zhang

According to our database, Teng Zhang authored at least 32 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A framework of regularized low-rank matrix models for regression and classification.

Hsin-Hsiung Huang, Feng Yu, Xing Fan, Teng Zhang

Stat. Comput., February, 2024

2023

Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations.

Casey Garner, Gilad Lerman, Teng Zhang

CoRR, 2023

2022

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

Joong-Ho Won, Teng Zhang, Hua Zhou

SIAM J. Optim., September, 2022

Design and Analysis of Secure Distributed Estimator for Vehicular Platooning in Adversarial Environment.

Raj Gautam Dutta, Yaodan Hu, Feng Yu, Teng Zhang, Yier Jin

IEEE Trans. Intell. Transp. Syst., 2022

ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network.

Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang

J. Mach. Learn. Res., 2022

Robust Regularized Low-Rank Matrix Models for Regression and Classification.

Hsin-Hsiung Huang, Feng Yu, Xing Fan, Teng Zhang

CoRR, 2022

2021

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

Honggang Yu, Shihfeng Zeng, Teng Zhang, Ing-Chao Lin, Yier Jin

CoRR, 2021

2020

Phase Retrieval by Alternating Minimization With Random Initialization.

Teng Zhang

IEEE Trans. Inf. Theory, 2020

Fast Attack-Resilient Distributed State Estimator for Cyber-Physical Systems.

Feng Yu, Raj Gautam Dutta, Teng Zhang, Yaodan Hu, Yier Jin

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Robust discriminant analysis using multi-directional projection pursuit.

Hsin-Hsiung Huang, Teng Zhang

Pattern Recognit. Lett., 2020

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

Teng Zhang

CoRR, 2020

Network-based multi-task learning models for biomarker selection and cancer outcome prediction.

Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang

Bioinform., 2020

Platform-integrated mRNA isoform quantification.

Jiao Sun, Jae-Woong Chang, Teng Zhang, Jeongsik Yong, Rui Kuang, Wei Zhang

Bioinform., 2020

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

Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Special Issue: Resilient Distributed Estimator with Information Consensus for CPS Security.

Feng Yu, Yaodan Hu, Teng Zhang, Yier Jin

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

2019

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

Tyler Maunu, Teng Zhang, Gilad Lerman

J. Mach. Learn. Res., 2019

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

Raj Gautam Dutta, Teng Zhang, Yier Jin

Proceedings of the 2019 American Control Conference, 2019

2018

Exact Camera Location Recovery by Least Unsquared Deviations.

Gilad Lerman, Yunpeng Shi, Teng Zhang

SIAM J. Imaging Sci., 2018

Phase Retrieval Using Alternating Minimization in a Batch Setting.

Teng Zhang

Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Security for safety: a path toward building trusted autonomous vehicles.

Raj Gautam Dutta, Feng Yu, Teng Zhang, Yaodan Hu, Yier Jin

Proceedings of the International Conference on Computer-Aided Design, 2018

2017

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

Teng Zhang

SIAM J. Matrix Anal. Appl., 2017

Spectral Clustering Based on Local PCA.

Ery Arias-Castro, Gilad Lerman, Teng Zhang

J. Mach. Learn. Res., 2017

Estimation of Safe Sensor Measurements of Autonomous System Under Attack.

Raj Gautam Dutta, Xiaolong Guo, Teng Zhang, Kevin A. Kwiat, Charles A. Kamhoua, Laurent Njilla, Yier Jin

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

Marčenko-Pastur law for Tyler's M-estimator.

Teng Zhang, Xiuyuan Cheng, Amit Singer

J. Multivar. Anal., 2016

2015

Robust Computation of Linear Models by Convex Relaxation.

Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang

Found. Comput. Math., 2015

2014

A novel M-estimator for robust PCA.

Teng Zhang, Gilad Lerman

J. Mach. Learn. Res., 2014

Robust Stochastic Principal Component Analysis.

John Goes, Teng Zhang, Raman Arora, Gilad Lerman

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2012

Hybrid Linear Modeling via Local Best-Fit Flats.

Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman

Int. J. Comput. Vis., 2012

Robust computation of linear models, or How to find a needle in a haystack

Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang

CoRR, 2012

2010

lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers

Gilad Lerman, Teng Zhang

CoRR, 2010

Randomized hybrid linear modeling by local best-fit flats.

Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Median K-Flats for hybrid linear modeling with many outliers.

Teng Zhang, Arthur Szlam, Gilad Lerman

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009