Lingzhou Xue

According to our database, Lingzhou Xue authored at least 22 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval.

Zhong Zheng, Shiqian Ma, Lingzhou Xue

IEEE Trans. Signal Process., 2024

2023

Identification of microbial features in multivariate regression under false discovery rate control.

Arun Srinivasan, Lingzhou Xue, Xiang Zhan

Comput. Stat. Data Anal., May, 2023

Federated Q-Learning: Linear Regret Speedup with Low Communication Cost.

Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang

CoRR, 2023

A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution.

Jun Tao, Qian Chen, James W. Snyder Jr., Arava Sai Kumar, Amirhossein Meisami, Lingzhou Xue

CoRR, 2023

2022

A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis.

Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao

INFORMS J. Optim., April, 2022

Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold.

Bokun Wang, Shiqian Ma, Lingzhou Xue

J. Mach. Learn. Res., 2022

Improving neural network robustness through neighborhood preserving layers.

Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus

Image Vis. Comput., 2022

2021

An additive graphical model for discrete data.

Jun Tao, Bing Li, Lingzhou Xue

CoRR, 2021

2020

An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis.

Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou

INFORMS J. Optim., July, 2020

Model-Based Clustering of Nonparametric Weighted Networks With Application to Water Pollution Analysis.

Amal Agarwal, Lingzhou Xue

Technometrics, 2020

Model-based clustering of time-evolving networks through temporal exponential-family random graph models.

Kevin H. Lee, Lingzhou Xue, David R. Hunter

J. Multivar. Anal., 2020

Hawkesian Graphical Event Models.

Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA.

Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou

CoRR, 2019

2018

Nonparametric Finite Mixture of Gaussian Graphical Models.

Kevin H. Lee, Lingzhou Xue

Technometrics, 2018

Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network.

Yafei Lyu, Lingzhou Xue, Feipeng Zhang, Hillary Koch, Laura M. Saba, Katerina J. Kechris, Qunhua Li

PLoS Comput. Biol., 2018

A Selective Overview of Sparse Principal Component Analysis.

Hui Zou, Lingzhou Xue

Proc. IEEE, 2018

2017

Model-Based Clustering of Nonparametric Weighted Networks.

Amal Agarwal, Lingzhou Xue

CoRR, 2017

Discovery of Causal Time Intervals.

Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2013

Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection.

Shiqian Ma, Lingzhou Xue, Hui Zou

Neural Comput., 2013

Minimax optimal estimation of general bandable covariance matrices.

Lingzhou Xue, Hui Zou

J. Multivar. Anal., 2013

2007

A gradually locating method of indoor locating estimation based on likelihood.

Letian Ye, Zhihai Liu, Lingzhou Xue, Ping He, Zhi Geng

Proceedings of the 4th International Conference on Mobile Technology, 2007

A Novel Real Time Method of Signal Strength Based Indoor Localization.

Letian Ye, Zhi Geng, Lingzhou Xue, Zhihai Liu

Proceedings of the Computational Science and Its Applications, 2007