Teng Zhang - RankMe

46 papers A* 4A 2C 2Misc 1Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery. CoRR Gilad Lerman, Kang Li, Tyler Maunu, Teng Zhang
2025	J	`jnl`	Theoretical Guarantees for Sparse Principal Component Analysis Based on the Elastic Net. IEEE Trans. Inf. Theory Haoyi Yang, Teng Zhang, Lingzhou Xue
2024	A*	`conf`	A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion. CVPR Feng Yu, Teng Zhang, Gilad Lerman
2024	J	`jnl`	A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion. CoRR Feng Yu, Teng Zhang, Gilad Lerman
2024	J	`jnl`	A framework of regularized low-rank matrix models for regression and classification. Stat. Comput. Hsin-Hsiung Huang, Feng Yu, Xing Fan, Teng Zhang
2023	J	`jnl`	Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations. CoRR Casey Garner, Gilad Lerman, Teng Zhang
2022	J	`jnl`	ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network. J. Mach. Learn. Res. Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang
2022	J	`jnl`	Design and Analysis of Secure Distributed Estimator for Vehicular Platooning in Adversarial Environment. IEEE Trans. Intell. Transp. Syst. Raj Gautam Dutta, Yaodan Hu, Feng Yu, Teng Zhang, Yier Jin
2022	J	`jnl`	Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions. SIAM J. Optim. Joong-Ho Won, Teng Zhang, Hua Zhou
2022	J	`jnl`	Robust Regularized Low-Rank Matrix Models for Regression and Classification. CoRR Hsin-Hsiung Huang, Feng Yu, Xing Fan, Teng Zhang
2021	J	`jnl`	ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network. CoRR Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang
2021	J	`jnl`	Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers. CoRR Honggang Yu, Shihfeng Zeng, Teng Zhang, Ing-Chao Lin, Yier Jin
2020	A*	`conf`	CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. NDSS Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin
2020	J	`jnl`	Fast Attack-Resilient Distributed State Estimator for Cyber-Physical Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Feng Yu, Raj Gautam Dutta, Teng Zhang, Yaodan Hu, Yier Jin
2020	J	`jnl`	Network-based multi-task learning models for biomarker selection and cancer outcome prediction. Bioinform. Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang
2020	J	`jnl`	Phase Retrieval by Alternating Minimization With Random Initialization. IEEE Trans. Inf. Theory Teng Zhang
2020	J	`jnl`	Phase retrieval of complex-valued objects via a randomized Kaczmarz method. CoRR Teng Zhang
2020	J	`jnl`	Platform-integrated mRNA isoform quantification. Bioinform. Jiao Sun, Jae-Woong Chang, Teng Zhang, Jeongsik Yong, Rui Kuang, Wei Zhang
2020	J	`jnl`	Robust discriminant analysis using multi-directional projection pursuit. Pattern Recognit. Lett. Hsin-Hsiung Huang, Teng Zhang
2020	C	`conf`	Special Issue: Resilient Distributed Estimator with Information Consensus for CPS Security. ICCD Feng Yu, Yaodan Hu, Teng Zhang, Yier Jin
2019	J	`jnl`	A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. J. Mach. Learn. Res. Tyler Maunu, Teng Zhang, Gilad Lerman
2019	C	`conf`	Resilient Distributed Filter for State Estimation of Cyber-Physical Systems Under Attack. ACC Raj Gautam Dutta, Teng Zhang, Yier Jin
2018	J	`jnl`	Exact Camera Location Recovery by Least Unsquared Deviations. SIAM J. Imaging Sci. Gilad Lerman, Yunpeng Shi, Teng Zhang
2018	Misc	`conf`	Phase Retrieval Using Alternating Minimization in a Batch Setting. ITA Teng Zhang
2018	A	`conf`	Security for safety: a path toward building trusted autonomous vehicles. ICCAD Raj Gautam Dutta, Feng Yu, Teng Zhang, Yaodan Hu, Yier Jin
2017	J	`jnl`	A Majorization-Minimization Algorithm for Computing the Karcher Mean of Positive Definite Matrices. SIAM J. Matrix Anal. Appl. Teng Zhang
2017	J	`jnl`	A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. CoRR Tyler Maunu, Teng Zhang, Gilad Lerman
2017	J	`jnl`	Anisotropic twicing for single particle reconstruction using autocorrelation analysis. CoRR Tejal Bhamre, Teng Zhang, Amit Singer
2017	A*	`conf`	Estimation of Safe Sensor Measurements of Autonomous System Under Attack. DAC Raj Gautam Dutta, Xiaolong Guo, Teng Zhang, Kevin A. Kwiat, Charles A. Kamhoua, Laurent Njilla, Yier Jin
2017	J	`jnl`	Exact Camera Location Recovery by Least Unsquared Deviations. CoRR Gilad Lerman, Yunpeng Shi, Teng Zhang
2017	J	`jnl`	Spectral Clustering Based on Local PCA. J. Mach. Learn. Res. Ery Arias-Castro, Gilad Lerman, Teng Zhang
2016	J	`jnl`	Denoising and Covariance Estimation of Single Particle Cryo-EM Images. CoRR Tejal Bhamre, Teng Zhang, Amit Singer
2016	J	`jnl`	Marčenko-Pastur law for Tyler's M-estimator. J. Multivar. Anal. Teng Zhang, Xiuyuan Cheng, Amit Singer
2015	—	`conf`	Orthogonal matrix retrieval in cryo-electron microscopy. ISBI Tejal Bhamre, Teng Zhang, Amit Singer
2015	J	`jnl`	Robust Computation of Linear Models by Convex Relaxation. Found. Comput. Math. Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
2014	J	`jnl`	A novel M-estimator for robust PCA. J. Mach. Learn. Res. Teng Zhang, Gilad Lerman
2014	J	`jnl`	Orthogonal Matrix Retrieval in Cryo-Electron Microscopy. CoRR Tejal Bhamre, Teng Zhang, Amit Singer
2014	A	`conf`	Robust Stochastic Principal Component Analysis. AISTATS John Goes, Teng Zhang, Raman Arora, Gilad Lerman
2012	J	`jnl`	Hybrid Linear Modeling via Local Best-Fit Flats. Int. J. Comput. Vis. Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
2012	J	`jnl`	Robust computation of linear models, or How to find a needle in a haystack CoRR Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
2010	J	`jnl`	Hybrid Linear Modeling via Local Best-fit Flats CoRR Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
2010	J	`jnl`	Randomized hybrid linear modeling by local best-fit flats CoRR Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
2010	A*	`conf`	Randomized hybrid linear modeling by local best-fit flats. CVPR Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
2010	J	`jnl`	lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers CoRR Gilad Lerman, Teng Zhang
2009	—	`conf`	Median K-Flats for hybrid linear modeling with many outliers. ICCV Workshops Teng Zhang, Arthur Szlam, Gilad Lerman
2009	J	`jnl`	Median K-flats for hybrid linear modeling with many outliers CoRR Teng Zhang, Arthur Szlam, Gilad Lerman