Teng Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 25

Top Topics

Outcome Prediction

Alternating Minimization

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

Publications

Hsin-Hsiung Huang, Feng Yu, Xing Fan, Teng Zhang
A framework of regularized low-rank matrix models for regression and classification. Stat. Comput. 34 (1) (2024)
Feng Yu, Teng Zhang, Gilad Lerman
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion. CoRR (2024)
Casey Garner, Gilad Lerman, Teng Zhang
Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations. CoRR (2023)
Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network. J. Mach. Learn. Res. 23 (2022)
Hsin-Hsiung Huang, Feng Yu, Xing Fan, Teng Zhang
Robust Regularized Low-Rank Matrix Models for Regression and Classification. CoRR (2022)
Raj Gautam Dutta, Yaodan Hu, Feng Yu, Teng Zhang, Yier Jin
Design and Analysis of Secure Distributed Estimator for Vehicular Platooning in Adversarial Environment. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Honggang Yu, Shihfeng Zeng, Teng Zhang, Ing-Chao Lin, Yier Jin
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers. CoRR (2021)
Jiao Sun, Jae-Woong Chang, Teng Zhang, Jeongsik Yong, Rui Kuang, Wei Zhang
Platform-integrated mRNA isoform quantification. Bioinform. 36 (8) (2020)
Feng Yu, Yaodan Hu, Teng Zhang, Yier Jin
Special Issue: Resilient Distributed Estimator with Information Consensus for CPS Security. ICCD (2020)
Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang
Network-based multi-task learning models for biomarker selection and cancer outcome prediction. Bioinform. 36 (6) (2020)
Teng Zhang
Phase retrieval of complex-valued objects via a randomized Kaczmarz method. CoRR (2020)
Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin
CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. NDSS (2020)
Teng Zhang
Phase Retrieval by Alternating Minimization With Random Initialization. IEEE Trans. Inf. Theory 66 (7) (2020)
Feng Yu, Raj Gautam Dutta, Teng Zhang, Yaodan Hu, Yier Jin
Fast Attack-Resilient Distributed State Estimator for Cyber-Physical Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Hsin-Hsiung Huang, Teng Zhang
Robust discriminant analysis using multi-directional projection pursuit. Pattern Recognit. Lett. 138 (2020)
Raj Gautam Dutta, Teng Zhang, Yier Jin
Resilient Distributed Filter for State Estimation of Cyber-Physical Systems Under Attack. ACC (2019)
Tyler Maunu, Teng Zhang, Gilad Lerman
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. J. Mach. Learn. Res. 20 (2019)
Teng Zhang
Phase Retrieval Using Alternating Minimization in a Batch Setting. ITA (2018)
Gilad Lerman, Yunpeng Shi, Teng Zhang
Exact Camera Location Recovery by Least Unsquared Deviations. SIAM J. Imaging Sci. 11 (4) (2018)
Raj Gautam Dutta, Feng Yu, Teng Zhang, Yaodan Hu, Yier Jin
Security for safety: a path toward building trusted autonomous vehicles. ICCAD (2018)
Tyler Maunu, Teng Zhang, Gilad Lerman
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. CoRR (2017)
Teng Zhang
A Majorization-Minimization Algorithm for Computing the Karcher Mean of Positive Definite Matrices. SIAM J. Matrix Anal. Appl. 38 (2) (2017)
Raj Gautam Dutta, Xiaolong Guo, Teng Zhang, Kevin A. Kwiat, Charles A. Kamhoua, Laurent Njilla, Yier Jin
Estimation of Safe Sensor Measurements of Autonomous System Under Attack. DAC (2017)
Ery Arias-Castro, Gilad Lerman, Teng Zhang
Spectral Clustering Based on Local PCA. J. Mach. Learn. Res. 18 (2017)
Gilad Lerman, Yunpeng Shi, Teng Zhang
Exact Camera Location Recovery by Least Unsquared Deviations. CoRR (2017)
Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
Robust Computation of Linear Models by Convex Relaxation. Found. Comput. Math. 15 (2) (2015)
Teng Zhang, Gilad Lerman
A novel M-estimator for robust PCA. J. Mach. Learn. Res. 15 (1) (2014)
John Goes, Teng Zhang, Raman Arora, Gilad Lerman
Robust Stochastic Principal Component Analysis. AISTATS (2014)
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
Hybrid Linear Modeling via Local Best-Fit Flats. Int. J. Comput. Vis. 100 (3) (2012)
Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
Robust computation of linear models, or How to find a needle in a haystack CoRR (2012)
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
Randomized hybrid linear modeling by local best-fit flats CoRR (2010)
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
Hybrid Linear Modeling via Local Best-fit Flats CoRR (2010)
Gilad Lerman, Teng Zhang
lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers CoRR (2010)
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
Randomized hybrid linear modeling by local best-fit flats. CVPR (2010)
Teng Zhang, Arthur Szlam, Gilad Lerman
Median K-Flats for hybrid linear modeling with many outliers. ICCV Workshops (2009)
Teng Zhang, Arthur Szlam, Gilad Lerman
Median K-flats for hybrid linear modeling with many outliers CoRR (2009)