Ying Du

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Quantitative System for Discriminating Induced Pluripotent Stem Cells, Embryonic Stem Cells and Somatic Cells	2013	Anyou Wang Ying Du Qianchuan He Chunxiao Zhou
+ PDF Chat	Multiple Response Regression for Gaussian Mixture Models with Known Labels	2012	Wonyul Lee Ying Du Wei Sun D. Neil Hayes Yufeng Liu

Common Coauthors

Coauthor	Papers Together
Anyou Wang	1
Qianchuan He	1
D. Neil Hayes	1
Chunxiao Zhou	1
Wonyul Lee	1
Wei Sun	1
Yufeng Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Asymptotics for lasso-type estimators	2000	Wenjiang Fu Keith Knight	1
+ PDF Chat	A Constrained<i>ℓ</i><sub>1</sub>Minimization Approach to Sparse Precision Matrix Estimation	2011	Tommaso Cai Weidong Liu Xi Luo	1
+ PDF Chat	The composite absolute penalties family for grouped and hierarchical variable selection	2009	Peng Zhao Guilherme V. Rocha Bin Yu	1
+ PDF Chat	Hierarchical Organization of Modularity in Metabolic Networks	2002	Erzsébet Ravasz Regan A. L. Somera D. A. Mongru Zoltán N. Oltvai Albert‐László Barabási	1
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	1
+ PDF Chat	Predicting Multivariate Responses in Multiple Linear Regression	1997	Leo Breiman Jerome H. Friedman	1
+	Simultaneous Variable Selection	2005	Berwin A. Turlach W. N. Venables Stephen J. Wright	1
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	1
+ PDF Chat	Sparse Multivariate Regression With Covariance Estimation	2010	Adam Rothman Elizaveta Levina Ji Zhu	1
+	Model selection and estimation in the Gaussian graphical model	2007	Ming Yuan Yi Lin	1
+ PDF Chat	Simultaneous multiple response regression and inverse covariance matrix estimation via penalized Gaussian maximum likelihood	2012	Wonyul Lee Yufeng Liu	1
+ PDF Chat	Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression	2007	Ming Yuan Ali Ekici Zhaosong Lu Renato D. C. Monteiro	1
+ PDF Chat	Group variable selection via a hierarchical lasso and its oracle property	2010	Nengfeng Zhou Ji Zhu	1
+	The huge Package for High-dimensional Undirected Graph Estimation in R	2020	Tuo Zhao Han Liu Kathryn Roeder John Lafferty Larry Wasserman	1
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	1
+	The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs	2009	Han Liu John Lafferty Larry Wasserman	1
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	1
+	Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data	2008	Onureena Banerjee Laurent El Ghaoui Alexandre d’Aspremont	1
+	Grouped and Hierarchical Model Selection through Composite Absolute Penalties	2007	Peng Zhao Guilherme V. Rocha Bin Yu	1
+ PDF Chat	Variable selection for the multicategory SVM via adaptive sup-norm regularization	2008	Hao Helen Zhang Yufeng Liu Yichao Wu Ji Zhu	1
+ PDF Chat	One-step sparse estimates in nonconcave penalized likelihood models	2008	Hui Zou Runze Li	1
+ PDF Chat	Sparse permutation invariant covariance estimation	2008	Adam Rothman Peter J. Bickel Elizaveta Levina Ji Zhu	1