Lingzhou Xue

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 28

Top Topics

Gradient Method

Communication Cost

Sparse Principal Component Analysis

Neighborhood Preserving

Top Venues

J. Multivar. Anal.

INFORMS J. Optim.

Publications

Zhong Zheng, Shiqian Ma, Lingzhou Xue
A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval. IEEE Trans. Signal Process. 72 (2024)
Qi Zhang, Bing Li, Lingzhou Xue
A Copula Graphical Model for Multi-Attribute Data using Optimal Transport. CoRR (2024)
Zhong Zheng, Haochen Zhang, Lingzhou Xue
Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost. CoRR (2024)
Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost. ICLR (2024)
Qi Zhang, Bing Li, Lingzhou Xue
Nonlinear sufficient dimension reduction for distribution-on-distribution regression. J. Multivar. Anal. 202 (2024)
Jun Tao, Qian Chen, James W. Snyder Jr., Arava Sai Kumar, Amirhossein Meisami, Lingzhou Xue
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution. CoRR (2023)
Zhong Zheng, Shiqian Ma, Lingzhou Xue
A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval. CoRR (2023)
Arun Srinivasan, Lingzhou Xue, Xiang Zhan
Identification of microbial features in multivariate regression under false discovery rate control. Comput. Stat. Data Anal. 181 (2023)
Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost. CoRR (2023)
Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. INFORMS J. Optim. 4 (2) (2022)
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
Improving neural network robustness through neighborhood preserving layers. Image Vis. Comput. 123 (2022)
Bokun Wang, Shiqian Ma, Lingzhou Xue
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. J. Mach. Learn. Res. 23 (2022)
Jun Tao, Bing Li, Lingzhou Xue
An additive graphical model for discrete data. CoRR (2021)
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
Improving Neural Network Robustness through Neighborhood Preserving Layers. CoRR (2021)
Amal Agarwal, Lingzhou Xue
Model-Based Clustering of Nonparametric Weighted Networks With Application to Water Pollution Analysis. Technometrics 62 (2) (2020)
Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. CoRR (2020)
Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue
Hawkesian Graphical Event Models. PGM (2020)
Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou
An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis. INFORMS J. Optim. 2 (3) (2020)
Kevin H. Lee, Lingzhou Xue, David R. Hunter
Model-based clustering of time-evolving networks through temporal exponential-family random graph models. J. Multivar. Anal. 175 (2020)
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
Improving Neural Network Robustness Through Neighborhood Preserving Layers. ICPR Workshops (6) (2020)
Bokun Wang, Shiqian Ma, Lingzhou Xue
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. CoRR (2020)
Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou
An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. CoRR (2019)
Yafei Lyu, Lingzhou Xue, Feipeng Zhang, Hillary Koch, Laura M. Saba, Katerina Kechris, Qunhua Li
Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network. PLoS Comput. Biol. 14 (9) (2018)
Hui Zou, Lingzhou Xue
A Selective Overview of Sparse Principal Component Analysis. Proc. IEEE 106 (8) (2018)
Kevin H. Lee, Lingzhou Xue
Nonparametric Finite Mixture of Gaussian Graphical Models. Technometrics 60 (4) (2018)
Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux
Discovery of Causal Time Intervals. SDM (2017)
Kevin H. Lee, Lingzhou Xue, David R. Hunter
Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph Models. CoRR (2017)
Amal Agarwal, Lingzhou Xue
Model-Based Clustering of Nonparametric Weighted Networks. CoRR (2017)
Shiqian Ma, Lingzhou Xue, Hui Zou
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. Neural Comput. 25 (8) (2013)
Lingzhou Xue, Hui Zou
Minimax optimal estimation of general bandable covariance matrices. J. Multivar. Anal. 116 (2013)
Letian Ye, Zhi Geng, Lingzhou Xue, Zhihai Liu
A Novel Real Time Method of Signal Strength Based Indoor Localization. ICCSA (1) (2007)
Letian Ye, Zhihai Liu, Lingzhou Xue, Ping He, Zhi Geng
A gradually locating method of indoor locating estimation based on likelihood. Mobility Conference (2007)