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2020 – today
- 2024
[j14]Qi Zhang, Bing Li, Lingzhou Xue
:
Nonlinear sufficient dimension reduction for distribution-on-distribution regression. J. Multivar. Anal. 202: 105302 (2024)- [j13]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: 1081-1093 (2024) - [c6]Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang:
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost. ICLR 2024 - [i13]Qi Zhang, Bing Li, Lingzhou Xue:
A Copula Graphical Model for Multi-Attribute Data using Optimal Transport. CoRR abs/2404.06735 (2024) - [i12]Zhong Zheng, Haochen Zhang, Lingzhou Xue:
Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost. CoRR abs/2405.18795 (2024) - [i11]Zhong Zheng, Lingzhou Xue:
Smoothed Robust Phase Retrieval. CoRR abs/2409.01570 (2024) - 2023
- [j12]Arun Srinivasan, Lingzhou Xue, Xiang Zhan:
Identification of microbial features in multivariate regression under false discovery rate control. Comput. Stat. Data Anal. 181: 107621 (2023) - [i10]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 abs/2302.06075 (2023) - [i9]Zhong Zheng, Shiqian Ma, Lingzhou Xue:
A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval. CoRR abs/2304.12522 (2023) - [i8]Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang:
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost. CoRR abs/2312.15023 (2023) - 2022
- [j11]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): 200-214 (2022) - [j10]Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving neural network robustness through neighborhood preserving layers. Image Vis. Comput. 123: 104469 (2022) - [j9]Bokun Wang, Shiqian Ma, Lingzhou Xue:
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. J. Mach. Learn. Res. 23: 106:1-106:33 (2022) - 2021
- [i7]Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving Neural Network Robustness through Neighborhood Preserving Layers. CoRR abs/2101.11766 (2021) - [i6]Jun Tao, Bing Li, Lingzhou Xue:
An additive graphical model for discrete data. CoRR abs/2112.14674 (2021) - 2020
- [j8]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): 192-208 (2020) - [j7]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) - [j6]Amal Agarwal, Lingzhou Xue:
Model-Based Clustering of Nonparametric Weighted Networks With Application to Water Pollution Analysis. Technometrics 62(2): 161-172 (2020) - [c5]Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving Neural Network Robustness Through Neighborhood Preserving Layers. ICPR Workshops (6) 2020: 179-195 - [c4]Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue:
Hawkesian Graphical Event Models. PGM 2020: 569-580 - [i5]Bokun Wang, Shiqian Ma, Lingzhou Xue:
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. CoRR abs/2005.01209 (2020) - [i4]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 abs/2007.09524 (2020)
2010 – 2019
- 2019
- [i3]Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou:
An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. CoRR abs/1903.11576 (2019) - 2018
- [j5]Hui Zou, Lingzhou Xue:
A Selective Overview of Sparse Principal Component Analysis. Proc. IEEE 106(8): 1311-1320 (2018) - [j4]Yafei Lyu, Lingzhou Xue, Feipeng Zhang, Hillary Koch, Laura M. Saba, Katerina J. 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) - [j3]Kevin H. Lee, Lingzhou Xue:
Nonparametric Finite Mixture of Gaussian Graphical Models. Technometrics 60(4): 511-521 (2018) - 2017
- [c3]Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux:
Discovery of Causal Time Intervals. SDM 2017: 804-812 - [i2]Kevin H. Lee, Lingzhou Xue, David R. Hunter:
Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph Models. CoRR abs/1712.07325 (2017) - [i1]Amal Agarwal, Lingzhou Xue:
Model-Based Clustering of Nonparametric Weighted Networks. CoRR abs/1712.07800 (2017) - 2013
- [j2]Lingzhou Xue, Hui Zou:
Minimax optimal estimation of general bandable covariance matrices. J. Multivar. Anal. 116: 45-51 (2013) - [j1]Shiqian Ma, Lingzhou Xue, Hui Zou:
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. Neural Comput. 25(8): 2172-2198 (2013)
2000 – 2009
- 2007
- [c2]Letian Ye, Zhi Geng, Lingzhou Xue, Zhihai Liu:
A Novel Real Time Method of Signal Strength Based Indoor Localization. ICCSA (1) 2007: 678-688 - [c1]Letian Ye, Zhihai Liu, Lingzhou Xue, Ping He, Zhi Geng:
A gradually locating method of indoor locating estimation based on likelihood. Mobility Conference 2007: 91-97
Coauthor Index
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