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Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction

Aug 22, 2020
Gang Zhao, Teng Zhang, Chenxiao Wang, Ping Lv, Ji Wu

* in Chinese language 

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Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement

Jun 13, 2020
Tianren Wang, Teng Zhang, Brian Lovell

* 8 pages, 4 figures 

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Memory Augmented Generative Adversarial Networks for Anomaly Detection

Feb 07, 2020
Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve

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To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?

Sep 22, 2019
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell

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Deep inspection: an electrical distribution pole parts study via deep neural networks

Jul 16, 2019
Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian Lovell

* electrical distribution pole inspection, integrated inspection system, object detection, imbalanced data classification, To appear in Proceeding of ICIP 2019 

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Deep Instance-Level Hard Negative Mining Model for Histopathology Images

Jun 27, 2019
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell

* Accepted by MICCAI 2019 

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CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels

Jun 24, 2019
Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell

* Accepted for MICCAI 2019 

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

Oct 10, 2018
Tyler Maunu, Teng Zhang, Gilad Lerman

* 55 pages, 6 figures, 1 table 

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Exact Camera Location Recovery by Least Unsquared Deviations

Sep 09, 2018
Gilad Lerman, Yunpeng Shi, Teng Zhang

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Parallax Bundle Adjustment on Manifold with Convexified Initialization

Jul 10, 2018
Liyang Liu, Teng Zhang, Yi Liu, Brenton Leighton, Liang Zhao, Shoudong Huang, Gamini Dissanayake

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CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions

Jul 07, 2018
Kevin Tian, Teng Zhang, James Zou

* 12 pages. Appears in ICML 2018 

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SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks

Mar 20, 2018
Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell

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Stochastic Primal-Dual Proximal ExtraGradient Descent for Compositely Regularized Optimization

Feb 01, 2018
Tianyi Lin, Linbo Qiao, Teng Zhang, Jiashi Feng, Bofeng Zhang

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TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition

Dec 07, 2017
Teng Zhang, Arnold Wiliem, Siqi Yang, Brian C. Lovell

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Robust PCA by Manifold Optimization

Sep 01, 2017
Teng Zhang, Yi Yang

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The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge

Jun 16, 2017
He-Da Wang, Teng Zhang, Ji Wu

* Submitted to the CVPR 2017 Workshop on YouTube-8M Large-Scale Video Understanding 

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Spectral clustering in the dynamic stochastic block model

May 02, 2017
Marianna Pensky, Teng Zhang

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Anisotropic twicing for single particle reconstruction using autocorrelation analysis

Apr 26, 2017
Tejal Bhamre, Teng Zhang, Amit Singer

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An Invariant-EKF VINS Algorithm for Improving Consistency

Mar 01, 2017
Teng Zhang, Kanzhi Wu, Daobilige Su, Shoudong Huang, Gamini Dissanayake

* submitted to The 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) 

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Convergence and Consistency Analysis for A 3D Invariant-EKF SLAM

Feb 22, 2017
Teng Zhang, Kanzhi Wu, Jingwei Song, Shoudong Huang, Gamini Dissanayake

* IEEE Robotics and Automation Letters (Volume: 2, Issue: 2, April 2017) 

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Robust subspace recovery by Tyler's M-estimator

Apr 28, 2016
Teng Zhang

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Optimal Margin Distribution Machine

Apr 12, 2016
Teng Zhang, Zhi-Hua Zhou

* arXiv admin note: substantial text overlap with arXiv:1311.0989 

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Denoising and Covariance Estimation of Single Particle Cryo-EM Images

Apr 06, 2016
Tejal Bhamre, Teng Zhang, Amit Singer

* Revision for JSB 

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Orthogonal Matrix Retrieval in Cryo-Electron Microscopy

Jan 30, 2015
Tejal Bhamre, Teng Zhang, Amit Singer

* Modified introduction and summary. Accepted to the IEEE International Symposium on Biomedical Imaging 

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Robust computation of linear models by convex relaxation

Aug 11, 2014
Gilad Lerman, Michael McCoy, Joel A. Tropp, Teng Zhang

* Foundations of Computational Mathematics, April 2015, Volume 15, Issue 2, pp 363-410 
* Formerly titled "Robust computation of linear models, or How to find a needle in a haystack" 

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A Novel M-Estimator for Robust PCA

Jun 23, 2014
Teng Zhang, Gilad Lerman

* Journal of Machine Learning Research 15 (2014) 749-808 

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Large Margin Distribution Machine

May 23, 2014
Teng Zhang, Zhi-Hua Zhou

* In: Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), New York, NY, 2014 

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

Jan 13, 2014
Gilad Lerman, Teng Zhang

* Constructive Approximation, December 2014, Volume 40, Issue 3, pp 329-385 
* This is a revised version of the part of 1002.1994 that deals with single subspace recovery. V3: Improved estimates (in particular for Lemma 3.1 and for estimates relying on it), asymptotic dependence of probabilities and constants on D and d and further clarifications; for simplicity it assumes uniform distributions on spheres. V4: minor revision for the published version 

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Spectral Clustering Based on Local PCA

Jan 09, 2013
Ery Arias-Castro, Gilad Lerman, Teng Zhang

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Hybrid Linear Modeling via Local Best-fit Flats

May 01, 2012
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman

* International Journal of Computer Vision Volume 100, Issue 3 (2012), Page 217-240 
* This version adds some clarifications and numerical experiments as well as strengthens the previous theorem. For face experiments, we use here the Extended Yale Face Database B (cropped faces unlike previous version). This database points to a failure mode of our algorithms, but we suggest and successfully test a workaround 

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