Yue Deng

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All published works

Action	Title	Year	Authors
+	NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection	2021	Liang Xu Liying Zheng Weijun Li Zhenbo Chen Weishun Song Yue Deng Yongzhe Chang Jing Xiao Bo Yuan
+ PDF Chat	Multi-Target Deep Learning for Algal Detection and Classification	2020	Peisheng Qian Ziyuan Zhao Haobing Liu Yingcai Wang Peng Yu Sheng Hu Jing Zhang Yue Deng Zeng Zeng
+	Multi-Target Deep Learning for Algal Detection and Classification	2020	Peisheng Qian Ziyuan Zhao Haobing Liu Yingcai Wang Peng Yu Sheng Hu Jing Zhang Yue Deng Zeng Zeng
+	Directed Adaptive Graphical Lasso for causality inference	2015	Zhiquan Ren Yang Yang Feng Bao Yue Deng Qionghai Dai
+ PDF Chat	Low-Rank Structure Learning via Nonconvex Heuristic Recovery	2013	Yue Deng Qionghai Dai Risheng Liu Zengke Zhang Sanqing Hu
+	Sparsity tracking for low rank matrix recovery from noise	2010	Yue Deng Qionghai Dai Zengke Zhang

Common Coauthors

Coauthor	Papers Together
Qionghai Dai	3
Peisheng Qian	2
Sheng Hu	2
Ziyuan Zhao	2
Zengke Zhang	2
Yingcai Wang	2
Jing Zhang	2
Peng Yu	2
Zeng Zeng	2
Haobing Liu	1
Liang Xu	1
Liying Zheng	1
Feng Bao	1
Zhiquan Ren	1
Weishun Song	1
Sanqing Hu	1
Jing Xiao	1
Weijun Li	1
Zhenbo Chen	1
Yongzhe Chang	1
Bo Yuan	1
Haobing Liu	1
Risheng Liu	1
Yang Yang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography	2012	Oleg Kuybeda Gabriel A. Frank Alberto Bartesaghi Mario J. Borgnia Sriram Subramaniam Guillermo Sapiro	3
+ PDF Chat	BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading	2019	Ziyuan Zhao Kerui Zhang Xuejie Hao Jing Tian Matthew Chin Heng Chua Li Chen Xin Xu	2
+ PDF Chat	Automatic identification of Scenedesmus polymorphic microalgae from microscopic images	2017	Jhony H. Giraldo Augusto Salazar German Díez Alexander Gómez Tatiana Martínez Jonathan Vargas Mariana Peñuela	2
+	Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices	2009	John Wright Arvind Ganesh Shankar Rao Yi Ma	2
+ PDF Chat	Panoptic Feature Pyramid Networks	2019	Alexander Kirillov Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	Enhancing Sparsity by Reweighted ℓ 1 Minimization	2008	Emmanuel J. Candès Michael B. Wakin Stephen Boyd	2
+	Classification of morphologically similar algae and cyanobacteria using Mueller matrix imaging and convolutional neural networks	2017	Xianpeng Li Ran Liao Jialing Zhou Priscilla T.Y. Leung Meng Yan Hui Ma	2
+	$\ell_{0}$-penalized maximum likelihood for sparse directed acyclic graphs	2013	Sara van de Geer Peter Bühlmann	1
+	Graphical lasso quadratic discriminant function and its application to character recognition	2013	Bo Xu Kaizhu Huang Irwin King Cheng‐Lin Liu Jun Sun Satoshi Naoi	1
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	1
+ PDF Chat	A note on the convergence of alternating direction methods	1962	Milton Lees	1
+	Optimization Transfer Using Surrogate Objective Functions	2000	Kenneth Lange David R. Hunter Ilsoon Yang	1
+ PDF Chat	Matrix Completion With Noise	2010	Emmanuel J. Candès Yaniv Plan	1
+	<formula formulatype="inline"> <tex Notation="TeX">$L_{1/2}$</tex></formula> Regularization: A Thresholding Representation Theory and a Fast Solver	2012	Zongben Xu Xiangyu Chang Fengmin Xu Hai Zhang	1
+	Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation	2011	Zhouchen Lin Risheng Liu Zhixun Su	1
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	1
+	Geometric Mean for Subspace Selection	2009	Dacheng Tao Xuelong Li Xindong Wu Stephen J. Maybank	1
+ PDF Chat	Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization	2010	Benjamin Recht Maryam Fazel Pablo A. Parrilo	1
+ PDF Chat	Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs	2010	Ali Shojaie George Michailidis	1
+ PDF Chat	Low-Rank Structure Learning via Nonconvex Heuristic Recovery	2013	Yue Deng Qionghai Dai Risheng Liu Zengke Zhang Sanqing Hu	1
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao	1
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	1
+ PDF Chat	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	1
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	1
+	Estimating high-dimensional directed acyclic graphs with the PC-algorithm	2005	Markus Kalisch Peter Bühlmann	1
+ PDF Chat	Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm	2010	Peter Bühlmann Markus Kalisch Marloes H. Maathuis	1
+ PDF Chat	Generalized principal component analysis (GPCA)	2005	René Vidal Yi Ma S. Shankar Sastry	1
+ PDF Chat	Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark	2015	Alexander Lavin Subutai Ahmad	1
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	1
+	Automatic Anomaly Detection in the Cloud Via Statistical Learning	2017	Jordan Hochenbaum Owen Vallis Arun Kejariwal	1
+	IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis	2018	Huaibo Huang zhihang li Ran He Zhenan Sun Tieniu Tan	1
+ PDF Chat	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks	2019	Dan Li Dacheng Chen Baihong Jin Lei Shi Jonathan Goh See-Kiong Ng	1
+ PDF Chat	Time-Series Anomaly Detection Service at Microsoft	2019	Hansheng Ren Bixiong Xu Yujing Wang Chao Yi Congrui Huang Xiaoyu Kou Tony Xing Mao Yang Jie Tong Qi Zhang	1
+	Exact Matrix Completion via Convex Optimization	2008	Emmanuel J. Candès Benjamin Recht	1
+	Stable Principal Component Pursuit	2010	Zihan Zhou Xiaodong Li John Wright Emmanuel J. Candès Yi Ma	1
+	Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation	2011	Zhouchen Lin Risheng Liu Zhixun Su	1
+	A Singular Value Thresholding Algorithm for Matrix Completion	2008	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	1
+ PDF Chat	Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation	2019	Ziyuan Zhao Xiaoman Zhang Cen Chen Wei Li Songyou Peng Jie Wang Xulei Yang Le Zhang Zeng Zeng	1
+	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks	2019	Dan Li Dacheng Chen Baihong Jin Lei Shi Jonathan Goh See-Kiong Ng	1
+	Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm	2007	KalischMarkus BühlmannPeter	1
+	RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks	2020	Jingkun Gao Xiaomin Song Qingsong Wen Pichao Wang Liang Sun Huan Xu	1
+	NVAE: A Deep Hierarchical Variational Autoencoder	2020	Arash Vahdat Jan Kautz	1
+	Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications	2018	Haowen Xu Yang Feng Jie Chen Zhaogang Wang Honglin Qiao Wenxiao Chen Nengwen Zhao Zeyan Li Jiahao Bu Zhihan Li	1
+ PDF Chat	Variable selection using MM algorithms	2005	David R. Hunter Runze Li	1
+ PDF Chat	Rank-Sparsity Incoherence for Matrix Decomposition	2011	Venkat Chandrasekaran Sujay Sanghavi Pablo A. Parrilo Alan S. Willsky	1
+ PDF Chat	Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding	2018	Kyle Hundman Valentino Constantinou Christopher Laporte Ian Colwell Tom Söderström	1
+	Compressed sensing	2006	David L. Donoho	1
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1
+ PDF Chat	Generalized principal component analysis (GPCA)	2003	René Vidal Yi Ma S. Shankar Sastry	1
+	Robust Matrix Decomposition with Outliers	2010	Daniel Hsu Sham M. Kakade Tong Zhang	1