Xuening Zhu

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All published works

Action	Title	Year	Authors
+	Network Vector Autoregression with Time-Varying Nodal Influence	2025	Yijie Ding Xuening Zhu Rui Pan Bo Zhang
+ PDF Chat	CAD-NeRF: Learning NeRFs from Uncalibrated Few-view Images by CAD Model Retrieval	2024	Xin Wen Xuening Zhu Renjiao Yi Zhifeng Wang Chenyang Zhu Kai Xu
+ PDF Chat	Penalized Sparse Covariance Regression with High Dimensional Covariates	2024	Yuan Gao Zhiyuan Zhang Zhanrui Cai Xuening Zhu Tao Zou Hansheng Wang
+ PDF Chat	Penalized Sparse Covariance Regression with High Dimensional Covariates	2024	Yuan Gao Zhiyuan Zhang Zhanrui Cai Xuening Zhu Tao Zou Hansheng Wang
+ PDF Chat	Relighting Scenes with Object Insertions in Neural Radiance Fields	2024	Xuening Zhu Renjiao Yi Xin Wen Chenyang Zhu Kai Xu
+ PDF Chat	Multi-relational Network Autoregression Model with Latent Group Structures	2024	Yimeng Ren Xuening Zhu Ganggang Xu Yanyuan Ma
+ PDF Chat	Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients	2024	J. Ginger Meng Yimeng Ren Xuening Zhu Guanyu Hu
+ PDF Chat	Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression	2024	Wenyang Liu Ganggang Xu Jianqing Fan Xuening Zhu
+ PDF Chat	A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques	2024	Xuetong Li Yuan Gao Hong Chang Danyang Huang Yingying Ma Rui Pan Haobo Qi Feifei Wang Shuyuan Wu Ke Xu
+ PDF Chat	Improved Naive Bayes with mislabeled data	2024	Qianhan Zeng Yingqiu Zhu Xuening Zhu Feifei Wang Weichen Zhao Shu-Ning Sun Meng Su Hansheng Wang
+	Robust Estimation for Dynamic Spatial Autoregression Models with Nearly Optimal Rates	2024	Yin Lu Chunbai Tao Di Wang Gazi Salah Uddin Libo Wu Xuening Zhu
+ PDF Chat	Distributed estimation and inference for spatial autoregression model with large scale networks	2023	Yimeng Ren Zhe Li Xuening Zhu Yuan Gao Hansheng Wang
+ PDF Chat	Simultaneous estimation and group identification for network vector autoregressive model with heterogeneous nodes	2023	Xuening Zhu Ganggang Xu Jianqing Fan
+ PDF Chat	Group Network Hawkes Process	2023	Guanhua Fang Ganggang Xu Haochen Xu Xuening Zhu Yongtao Guan
+	Distributed Logistic Regression for Massive Data with Rare Events	2023	Xuetong Li Xuening Zhu Hansheng Wang
+ PDF Chat	A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint	2023	Rui Pan Yingqiu Zhu Baishan Guo Xuening Zhu Hansheng Wang
+	Network Autoregression for Incomplete Matrix-Valued Time Series	2023	Xuening Zhu Feifei Wang Zeng Li Yanyuan Ma
+	CoGANPPIS: A Coevolution-enhanced Global Attention Neural Network for Protein-Protein Interaction Site Prediction	2023	Jiaxing Guo Xuening Zhu Zixin Hu Xiaoxi Hu
+	Distributed Logistic Regression for Massive Data with Rare Events	2023	Xuetong Li Xuening Zhu Hansheng Wang
+	Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis with Limited Computational Resources	2023	Shuyuan Wu Xuening Zhu Hansheng Wang
+	Improved Naive Bayes with Mislabeled Data	2023	Qianhan Zeng Yingqiu Zhu Xuening Zhu Feifei Wang Weichen Zhao Shu-Ning Sun Meng Su Hansheng Wang
+	Group Network Hawkes Process	2023	Guanhua Fang Ganggang Xu Haochen Xu Xuening Zhu Yongtao Guan
+ PDF Chat	An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models	2022	Yuan Gao Xuening Zhu Haobo Qi Guodong Li Riquan Zhang Hansheng Wang
+ PDF Chat	Graphical Assistant Grouped Network Autoregression Model: A Bayesian Nonparametric Recourse	2022	Yimeng Ren Xuening Zhu Xiaoling Lu Guanyu Hu
+ PDF Chat	Learning Human Activity Patterns Using Clustered Point Processes With Active and Inactive States	2022	Jingfei Zhang Biao Cai Xuening Zhu Hansheng Wang Ganggang Xu Yongtao Guan
+	Simultaneous Estimation and Group Identification for Network Vector Autoregressive Model with Heterogeneous Nodes	2022	Xuening Zhu Ganggang Xu Jianqing Fan
+	Consistent Selection of the Number of Groups in Panel Models via Sample-Splitting	2022	Zhe Li Xuening Zhu Changliang Zou
+	Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks	2022	Yimeng Ren Zhe Li Xuening Zhu Yuan Gao Hansheng Wang
+	Matrix-valued Network Autoregression Model with Latent Group Structure	2022	Yimeng Ren Xuening Zhu Yanyuan Ma
+	An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models	2022	Yuan Gao Xuening Zhu Haobo Qi Guodong Li Riquan Zhang Hansheng Wang
+	Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis With Limited Computational Resources	2021	Shuyuan Wu Xuening Zhu Hansheng Wang
+ PDF Chat	Feature Screening for Massive Data Analysis by Subsampling	2021	Xuening Zhu Rui Pan Shuyuan Wu Hansheng Wang
+ PDF Chat	Least-Square Approximation for a Distributed System	2021	Xuening Zhu Feng Li Hansheng Wang
+ PDF Chat	On Identification of High Risk Carriers of COVID-19 Using Masked Mobile Device Data	2021	Da Huang Xuening Zhu Weidong Luo Hao Yin Jing Hong Yu Chen Jing Zhou Hansheng Wang
+	A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint	2021	Rui Pan Yingqiu Zhu Baishan Guo Xuening Zhu Hansheng Wang
+	An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models	2021	Yuan Gao Xuening Zhu Haobo Qi Guodong Li Riquan Zhang Hansheng Wang
+	Graphical Assistant Grouped Network Autoregression Model: a Bayesian Nonparametric Recourse	2021	Yimeng Ren Xuening Zhu Guanyu Hu
+	Network Group Hawkes Process Model	2020	Haochen Xu Guanhua Fang Xuening Zhu
+	Two-mode network autoregressive model for large-scale networks	2020	Danyang Huang Feifei Wang Xuening Zhu Hansheng Wang
+	Nonconcave penalized estimation in sparse vector autoregression model	2020	Xuening Zhu
+	Distributed Community Detection for Large Scale Networks Using Stochastic Block Model	2020	Shihao Wu Zhe Li Xuening Zhu
+	Group Network Hawkes Process	2020	Guanhua Fang Ganggang Xu and Haochen Xu Xuening Zhu Yongtao Guan
+	Community Network Auto-Regression for High-Dimensional Time Series	2020	Elynn Y. Chen Jianqing Fan Xuening Zhu
+	A Latent Moving Average Model for Network Regression	2018	Rui Pan Rong Guan Xuening Zhu Hansheng Wang
+	Modeling social media user content generation using interpretable point process models	2018	Jingfei Zhang Xuening Zhu Hansheng Wang Yongtao Guan
+	A latent moving average model for network regression	2018	Rui Pan Rong Guan Xuening Zhu Hansheng Wang
+ PDF Chat	Network Quantile Autoregression	2018	Xuening Zhu Ning Wang Hansheng Wang Karl Wolfgang
+	Learning Human Activity Patterns using Clustered Point Processes with Active and Inactive States	2018	Jingfei Zhang Biao Cai Xuening Zhu Hansheng Wang Ganggang Xu Yongtao Guan
+	Network vector autoregression	2017	Xuening Zhu Rui Pan Guodong Li Yuewen Liu Hansheng Wang
+ PDF Chat	Network Vector Autoregression	2016	Xuening Zhu Rui Pan Guodong Li Yuewen Liu Hansheng Wang

Common Coauthors

Coauthor	Papers Together
Hansheng Wang	27
Ganggang Xu	9
Rui Pan	8
Yimeng Ren	6
Yongtao Guan	6
Guodong Li	5
Yingqiu Zhu	5
Feifei Wang	4
Jianqing Fan	4
Haobo Qi	4
Yuan Gao	4
Shuyuan Wu	4
Guanhua Fang	4
Zhe Li	3
Riquan Zhang	3
Haochen Xu	3
Jingfei Zhang	3
Yanyuan Ma	3
Xuetong Li	3
Danyang Huang	2
Qianhan Zeng	2
Baishan Guo	2
Rong Guan	2
Shu-Ning Sun	2
Zhanrui Cai	2
Guanyu Hu	2
Yuan Gao	2
Renjiao Yi	2
Weichen Zhao	2
Yuewen Liu	2
Yu Chen	1
Xin Wen	1
Feifei Wang	1
Yuan Gao	1
Meng Su	1
Yijie Ding	1
Yuan Gao	1
Ke Xu	1
Xiaoling Lu	1
Hansheng Wang	1
Wenyang Liu	1
Zixin Hu	1
Shihao Wu	1
Jiaxing Guo	1
Chunbai Tao	1
Xiaoxi Hu	1
Weidong Luo	1
Jing Hong	1
J. Ginger Meng	1
Xin Wen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Network vector autoregression	2017	Xuening Zhu Rui Pan Guodong Li Yuewen Liu Hansheng Wang	9
+	Consistency of community detection in networks under degree-corrected stochastic block models	2012	Yunpeng Zhao Elizaveta Levina Ji Zhu	7
+	Divide and conquer local average regression	2017	Xiangyu Chang Shao-Bo Lin Yao Wang	6
+ PDF Chat	Distributed estimation of principal eigenspaces	2019	Jianqing Fan Dong Wang Kaizheng Wang Ziwei Zhu	6
+ PDF Chat	Modeling E-mail Networks and Inferring Leadership Using Self-Exciting Point Processes	2016	Eric W. Fox Martin B. Short Frederic Paik Schoenberg Kathryn D. Coronges Andrea L. Bertozzi	5
+	Calibrating nonconvex penalized regression in ultra-high dimension	2013	Lan Wang Yongdai Kim Runze Li	5
+	Spectra of some self-exciting and mutually exciting point processes	1971	Alan G. Hawkes	5
+	Covariance Regression Analysis	2016	Tao Zou Wei Lan Hansheng Wang Chih‐Ling Tsai	5
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	4
+ PDF Chat	A Scalable Bootstrap for Massive Data	2014	Ariel Kleiner Ameet Talwalkar Purnamrita Sarkar Michael I. Jordan	4
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	4
+	Estimation and Prediction for Stochastic Blockstructures	2001	Krzysztof Nowicki Tom A. B. Snijders	4
+ PDF Chat	Estimation of (near) low-rank matrices with noise and high-dimensional scaling	2011	Sahand Negahban Martin J. Wainwright	4
+	Subset selection for vector autoregressive processes using Lasso	2007	Nan‐Jung Hsu Hung-Lin Hung Ya‐Mei Chang	3
+	A cluster process representation of a self-exciting process	1974	Alan G. Hawkes David Oakes	3
+	Distributed High-dimensional Regression Under a Quantile Loss Function	2019	Xi Chen Weidong Liu Xiaojun Mao Zhuoyi Yang	3
+	Distributed Estimation, Information Loss and Exponential Families	2014	Qiang Liu Alexander Ihler	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+	Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?	2008	Christine De Mol Domenico Giannone Lucrezia Reichlin	3
+ PDF Chat	Inward and Outward Network Influence Analysis	2021	Yujia Wu Wei Lan Tao Zou Chih‐Ling Tsai	3
+	Pseudo-likelihood methods for community detection in large sparse networks	2013	Arash Amini Aiyou Chen Peter J. Bickel Elizaveta Levina	3
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	3
+	Communication-efficient sparse regression: a one-shot approach	2015	Jason D. Lee Yuekai Sun Qiang Liu Jonathan Taylor	3
+ PDF Chat	Regularized estimation of large covariance matrices	2008	Peter J. Bickel Elizaveta Levina	3
+	Identifying Latent Structures in Panel Data	2016	Liangjun Su Zhentao Shi Peter C.B. Phillips	3
+ PDF Chat	Optimal Subsampling for Large Sample Logistic Regression	2017	HaiYing Wang Rong Zhu Ping Ma	3
+ PDF Chat	Communication-Efficient Distributed Statistical Inference	2018	Michael I. Jordan Jason D. Lee Yun Yang	3
+ PDF Chat	Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Data Sets	2019	Lan Luo Peter X.‐K. Song	3
+	Modelling Dyadic Interaction with Hawkes Processes	2013	Peter F. Halpin Paul De Boeck	3
+	A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data	2014	Xueying Chen Minge Xie	3
+ PDF Chat	Distributed testing and estimation under sparse high dimensional models	2018	Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu	3
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	3
+ PDF Chat	A Subsampled Double Bootstrap for Massive Data	2015	Srijan Sengupta Stanislav Volgushev Xiaofeng Shao	3
+	Consistency of spectral clustering in stochastic block models	2014	Jing Lei Alessandro Rinaldo	3
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	2
+	Log Gaussian Cox Processes	1998	Jesper Møller Anne Randi Syversveen Rasmus Waagepetersen	2
+	Distributed Estimation and Inference with Statistical Guarantees	2015	Heather Battey Jianqing FanHan	2
+ PDF Chat	Modelling microstructure noise with mutually exciting point processes	2012	Emmanuel Bacry Sylvain Delattre Marc Hoffmann J. F. Muzy	2
+	Bivariate Cox Processes: Some Models for Bivariate Spatial Point Patterns	1983	Peter J. Diggle Robin K. Milne	2
+	Discovering Latent Network Structure in Point Process Data	2014	Scott W. Linderman Ryan P. Adams	2
+ PDF Chat	Feature Screening via Distance Correlation Learning	2012	Runze Li Wei Zhong Li Zhu	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Model Selection for Multivariate Regression in Small Samples	1994	Edward J. Bedrick Chih‐Ling Tsai	2
+ PDF Chat	Nonconcave penalized likelihood with a diverging number of parameters	2004	Jianqing Fan Heng Peng	2
+	Transition Matrix Estimation in High Dimensional Time Series	2013	Fang Han Han Liu	2
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	2
+ PDF Chat	Residual Analysis for Spatial Point Processes (with Discussion)	2005	Adrian Baddeley Rolf Turner Jesper Møller Martin L. Hazelton	2
+	The asymptotic behaviour of maximum likelihood estimators for stationary point processes	1978	Yoshiko Ogata	2
+	Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes	2013	Ke Zhou Hongyuan Zha Le Song	2
+ PDF Chat	Stochastic blockmodels and community structure in networks	2011	Brian Karrer M. E. J. Newman	2