Yuying Xie

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All published works

Action	Title	Year	Authors
+ PDF Chat	Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder	2024	Yuying Xie Michael Kuhlmann Frederik Rautenberg Zheng‐Hua Tan Reinhold Haeb‐Umbach
+ PDF Chat	Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder	2024	Yuying Xie Michael Kuhlmann Frederik Rautenberg Zheng-Hua Tan Reinhold Haeb‐Umbach
+ PDF Chat	Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models	2024	Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang
+	Deep Learning in Single-cell Analysis	2024	Dylan Molho Jiayuan Ding Wenzhuo Tang Zhaoheng Li Hongzhi Wen Yixin Wang Julian Venegas Wei Jin Renming Liu Runze Su
+	Single-Cell Multimodal Prediction via Transformers	2023	Wenzhuo Tang Hongzhi Wen Renming Liu Jiayuan Ding Wei Jin Yuying Xie Hui Liu Jiliang Tang
+ PDF Chat	Restricted Riemannian geometry for positive semidefinite matrices	2023	A. Martina Neuman Yuying Xie Qiang Sun
+	Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation	2023	Hongzhi Wen Wenzhuo Tang Wei Jin Jiayuan Ding Renming Liu Feng Shi Yuying Xie Jiliang Tang
+ PDF Chat	The EAS approach for graphical selection consistency in vector autoregression models	2022	Jonathan Williams Yuying Xie Jan Hannig
+ PDF Chat	Graph Neural Networks for Multimodal Single-Cell Data Integration	2022	Hongzhi Wen Jiayuan Ding Wei Jin Yiqi Wang Yuying Xie Jiliang Tang
+	Review 1: "Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US"	2022	Yuying Xie
+ PDF Chat	An analysis of classical multidimensional scaling with applications to clustering	2022	Anna Little Yuying Xie Qiang Sun
+	Complex Recurrent Variational Autoencoder with Application to Speech Enhancement	2022	Yuying Xie Thomas Arildsen Zheng‐Hua Tan
+	Deep Learning in Single-Cell Analysis	2022	Dylan Molho Jiayuan Ding Zhaoheng Li Hongzhi Wen Wenzhuo Tang Yixin Wang Julian Venegas Wei Jin Renming Liu Runze Su
+	Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder	2022	Yuying Xie Thomas Arildsen Zheng‐Hua Tan
+ PDF Chat	Superiority of GNN Over NN in Generalizing Bandlimited Functions	2022	A. Martina Neuman Rongrong Wang Yuying Xie
+	Superiority of GNN over NN in generalizing bandlimited functions	2022	A. Martina Neuman Rongrong Wang Yuying Xie
+	Restricted Riemannian geometry for positive semidefinite matrices	2021	A. Martina Neuman Yuying Xie Qiang Sun
+	Manifold Denoising by Nonlinear Robust Principal Component Analysis.	2019	He Lyu Ningyu Sha Shuyang Qin Ming Yan Yuying Xie Rongrong Wang
+	Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares	2019	Yuning Hao Ming Yan Blake R. Heath Yu L. Lei Yuying Xie
+	Manifold Denoising by Nonlinear Robust Principal Component Analysis	2019	He Lyu Ningyu Sha Shuyang Qin Ming Yan Yuying Xie Rongrong Wang
+	The EAS approach for graphical selection consistency in vector autoregression models	2019	Jonathan P. Williams Yuying Xie Jan Hannig
+ PDF Chat	Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares	2018	Yuning Hao Ming Yan Yu L. Lei Yuying Xie
+	Exact Cluster Recovery via Classical Multidimensional Scaling	2018	Anna Little Yuying Xie Qiang Sun
+	A model averaging approach for estimating propensity scores by optimizing balance	2017	Yuying Xie Yeying Zhu Cecilia A. Cotton Pan Wu
+ PDF Chat	Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics	2016	Yuying Xie Yufeng Liu William Valdar
+	Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics	2016	Yuying Xie Yufeng Liu William Valdar
+ PDF Chat	Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics	2016	Yuying Xie Yufeng Liu William Valdar

Common Coauthors

Coauthor	Papers Together
Jiayuan Ding	5
Hongzhi Wen	5
Wenzhuo Tang	5
Ming Yan	4
A. Martina Neuman	4
Renming Liu	4
Yu L. Lei	4
Rongrong Wang	4
Jiliang Tang	4
Wei Jin	3
Zheng‐Hua Tan	3
Yufeng Liu	3
Qiang Sun	3
Julian Venegas	2
Yuning Hao	2
Ningyu Sha	2
Michael Kuhlmann	2
Shuyang Qin	2
Thomas Arildsen	2
Frederik Rautenberg	2
William Valdar	2
Anna Little	2
He Lyu	2
Dylan Molho	2
Runze Su	2
Reinhold Haeb‐Umbach	2
Jan Hannig	2
Yixin Wang	2
Wei Jin	2
Zhaoheng Li	2
Patrick Danaher	2
Robert Yang	2
Jiliang Tang	2
Saumitra Mishra	1
Blake R. Heath	1
Feng Shi	1
Qiang Sun	1
Jonathan Williams	1
Yiqi Wang	1
Haitao Mao	1
Danial Dervovic	1
William Valdar	1
Zheng-Hua Tan	1
Yeying Zhu	1
Hui Liu	1
Ivan Brugere	1
Pan Wu	1
Cecilia A. Cotton	1
Jonathan P. Williams	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimation of (near) low-rank matrices with noise and high-dimensional scaling	2011	Sahand Negahban Martin J. Wainwright	3
+	High-dimensional semiparametric Gaussian copula graphical models	2012	Han Liu Fang Han Ming Yuan John Lafferty Larry Wasserman	3
+ PDF Chat	First-Order Methods for Sparse Covariance Selection	2008	Alexandre d’Aspremont Onureena Banerjee Laurent El Ghaoui	2
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	2
+ PDF Chat	Sparse permutation invariant covariance estimation	2008	Adam Rothman Peter J. Bickel Elizaveta Levina Ji Zhu	2
+ PDF Chat	Time varying undirected graphs	2010	Shuheng Zhou John Lafferty Larry Wasserman	2
+	Robust Regression and Outlier Detection	1989	Gregory F. Piepel Peter J. Rousseeuw Annick M. Leroy	2
+	Solving Least Squares Problems	1995	C. L. Lawson Richard Hanson	2
+ PDF Chat	Solving the Matrix Nearness Problem in the Maximum Norm by Applying a Projection and Contraction Method	2012	Minghua Xu Hu Shao	2
+	Robust Regression and Outlier Detection	1987	Peter J. Rousseeuw Annick M. Leroy	2
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	2
+	Regularized rank-based estimation of high-dimensional nonparanormal graphical models	2012	Lingzhou Xue Hui Zou	2
+ PDF Chat	Principal Component Analysis for Big Data	2018	Jianqing Fan Qiang Sun Wen‐Xin Zhou Ziwei Zhu	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	A note on the Hanson-Wright inequality for random vectors with dependencies	2015	Radosław Adamczak	2
+	Computing LTS Regression for Large Data Sets	2006	Peter J. Rousseeuw Katrien Van Driessen	2
+ PDF Chat	A useful variant of the Davis–Kahan theorem for statisticians	2015	Yi Yu Tengyao Wang Richard J. Samworth	2
+ PDF Chat	Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression	2007	Ming Yuan Ali Ekici Zhaosong Lu Renato D. C. Monteiro	2
+	Model Selection Through Sparse Maximum Likelihood Estimation	2007	Onureena Banerjee Laurent El Ghaoui Alexandre d’Aspremont	2
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	2
+	Least Median of Squares Regression	1984	Peter J. Rousseeuw	2
+ PDF Chat	The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes	2013	Patrick Danaher Pei Wang Daniela Witten	2
+ PDF Chat	A Simple SVD Algorithm for Finding Hidden Partitions	2017	Van Vu	2
+ PDF Chat	An l∞ Eigenvector Perturbation Bound and Its Application to Robust Covariance Estimation.	2018	Jianqing Fan Weichen Wang Yiqiao Zhong	2
+ PDF Chat	Inferring sparse Gaussian graphical models with latent structure	2009	Christophe Ambroise Julien Chiquet Catherine Matias	2
+ PDF Chat	Sparsistency and rates of convergence in large covariance matrix estimation	2009	Clifford Lam Jianqing Fan	2
+ PDF Chat	An isoperimetric theorem on the cube and the Kintchine-Kahane inequalities	1988	Michel Talagrand	2
+ PDF Chat	Adaptive Thresholding for Sparse Covariance Matrix Estimation	2011	Tommaso Cai Weidong Liu	2
+ PDF Chat	Graph Neural Networks for Multimodal Single-Cell Data Integration	2022	Hongzhi Wen Jiayuan Ding Wei Jin Yiqi Wang Yuying Xie Jiliang Tang	2
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	2
+	Model selection and estimation in the Gaussian graphical model	2007	Ming Yuan Yi Lin	2
+	Some distance properties of latent root and vector methods used in multivariate analysis	1966	J. C. Gower	2
+	On Spectral Learning of Mixtures of Distributions	2005	Dimitris Achlioptas Frank McSherry	2
+	Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition	1970	J. Douglas Carroll Jih-Jie Chang	2
+ PDF Chat	Partial Correlation Estimation by Joint Sparse Regression Models	2009	Jie Peng Pei Wang Nengfeng Zhou Ji Zhu	2
+ PDF Chat	Logarithmic Sobolev Inequalities and Concentration of Measure for Convex Functions and Polynomial Chaoses	2005	Radosław Adamczak	2
+ PDF Chat	High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence	2011	Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu	2
+	QUIC: quadratic approximation for sparse inverse covariance estimation	2014	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar	2
+	High-Dimensional Probability: An Introduction with Applications in Data Science	2018	Roman Vershynin	2
+	NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.	2009	Jianqing Fan Yang Feng Yichao Wu	2
+	Algorithms for graph partitioning on the planted partition model	2001	Anne Condon Richard M. Karp	2
+ PDF Chat	Outlier Detection Using Nonconvex Penalized Regression	2011	Yiyuan She Art B. Owen	2
+ PDF Chat	Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation	2016	Luwan Zhang Grace Wahba Ming Yuan	2
+ PDF Chat	Likelihood-Based Selection and Sharp Parameter Estimation	2012	Xiaotong Shen Wei Pan Yunzhang Zhu	2
+	Sparse least trimmed squares regression for analyzing high-dimensional large data sets	2013	Andreas Alfons Christophe Croux Sarah Gelper	2
+	A Semiparametric Approach to Density Estimation	1987	Ingram Olkin Clifford H. Spiegelman	1
+	Differential Geometry, Lie Groups, and Symmetric Spaces	2001	Sigurđur Helgason	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+	A Direct Estimation of High Dimensional Stationary Vector Autoregressions	2013	Fang Han Huanran Lu Han Liu	1