A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation. - Hansheng Wang 002 (Comput. Stat. Data Anal., 2007)

A note on adaptive group lasso. - Hansheng Wang 002; Chenlei Leng (Comput. Stat. Data Anal., 2008)

A composite logistic regression approach for ordinal panel data regression. - Ronghua Luo; Hansheng Wang 002 (Int. J. Data Anal. Tech. Strateg., 2008)

Subgroup Analysis via Recursive Partitioning. - Xiaogang Su; Chih-Ling Tsai; Hansheng Wang 002; David M. Nickerson; Bogong Li (J. Mach. Learn. Res., 2009)

On sparse estimation for semiparametric linear transformation models. - Hao Helen Zhang; Wenbin Lu; Hansheng Wang 002 (J. Multivar. Anal., 2010)

Regression Analysis of Asymmetric Pairs in Large-Scale Network Data. - Rui Pan 004; Hansheng Wang 002; Chih-Ling Tsai (Commun. Stat. Simul. Comput., 2011)

A Bayesian information criterion for portfolio selection. - Wei Lan; Hansheng Wang 002; Chih-Ling Tsai (Comput. Stat. Data Anal., 2012)

Multivariate regression shrinkage and selection by canonical correlation analysis. - Baiguo An; Jianhua Guo 005; Hansheng Wang 002 (Comput. Stat. Data Anal., 2013)

A note on tail dependence regression. - Qingzhao Zhang; Deyuan Li; Hansheng Wang 002 (J. Multivar. Anal., 2013)

Testing predictor significance with ultra high dimensional multivariate responses. - Yingying Ma; Wei Lan; Hansheng Wang 002 (Comput. Stat. Data Anal., 2015)

A high dimensional two-sample test under a low dimensional factor structure. - Yingying Ma; Wei Lan; Hansheng Wang 002 (J. Multivar. Anal., 2015)

Network linear discriminant analysis. - Wei Cai; Guoyu Guan; Rui Pan 004; Xuening Zhu; Hansheng Wang 002 (Comput. Stat. Data Anal., 2018)

Least Squares Approximation for a Distributed System. - Xuening Zhu; Feng Li 028; Hansheng Wang 002 (CoRR, 2019)

Estimating Promotion Effects Using Big Data: A Partially Profiled LASSO Model with Endogeneity Correction. - Luping Sun; Xiaona Zheng; Ying Jin; Minghua Jiang; Hansheng Wang 002 (Decis. Sci., 2019)

The magic of danmaku: A social interaction perspective of gift sending on live streaming platforms. - Jilei Zhou; Jing Zhou; Ying Ding 004; Hansheng Wang 002 (Electron. Commer. Res. Appl., 2019)

Semiparametric model for covariance regression analysis. - Jin Liu; Yingying Ma; Hansheng Wang 002 (Comput. Stat. Data Anal., 2020)

Approximate least squares estimation for spatial autoregressive models with covariates. - Yingying Ma; Wei Lan; Fanying Zhou; Hansheng Wang 002 (Comput. Stat. Data Anal., 2020)

Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data. - Feifei Wang; Yingqiu Zhu; Danyang Huang; Haobo Qi; Hansheng Wang 002 (Comput. Stat. Data Anal., 2021)

Progressive principle component analysis for compressing deep convolutional neural networks. - Jing Zhou; Haobo Qi; Yu Chen; Hansheng Wang 002 (Neurocomputing, 2021)

Least-Square Approximation for a Distributed System. - Xuening Zhu; Feng Li 028; Hansheng Wang 002 (J. Comput. Graph. Stat., 2021)

Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation. - Yingqiu Zhu; Danyang Huang; Yuan Gao 026; Rui Wu; Yu Chen; Bo Zhang; Hansheng Wang 002 (Neural Networks, 2021)

Link Prediction for Statistical Collaboration Networks Incorporating Institutes and Research Interests. - Xizhuoran Song; Yan Zhang 131; Rui Pan 004; Hansheng Wang 002 (IEEE Access, 2022)

Asymptotic covariance estimation by Gaussian random perturbation. - Jing Zhou; Wei Lan; Hansheng Wang 002 (Comput. Stat. Data Anal., 2022)

An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models. - Yuan Gao 026; Xuening Zhu; Haobo Qi; Guodong Li; Riquan Zhang; Hansheng Wang 002 (J. Comput. Graph. Stat., 2023)

Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator. - Haobo Qi; Feifei Wang; Hansheng Wang 002 (J. Comput. Graph. Stat., 2023)

Gaotianchen97/LMANStat: Large-scale Multi-layer Academic Networks Derived from Statistical Publications v1.0.2. - Tianchen Gao; Yan Zhang 131; Rui Pan 004; Hansheng Wang 002 (Zenodo, 2023)

Gaotianchen97/LMANStat: Large-scale Multi-layer Academic Networks Derived from Statistical Publications v1.1.0. - Tianchen Gao; Yan Zhang 131; Rui Pan 004; Hansheng Wang 002 (Zenodo, 2023)

A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint. - Rui Pan 004; Yingqiu Zhu; Baishan Guo; Xuening Zhu; Hansheng Wang 002 (IEEE Trans. Knowl. Data Eng., 2023)

LMANStat Dataset. - Tianchen Gao; Yan Zhang 131; Rui Pan 004; Hansheng Wang 002 (Zenodo, 2023)

A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques. - Xuetong Li; Yuan Gao 026; Hong Chang; Danyang Huang; Yingying Ma; Rui Pan 004; Haobo Qi; Feifei Wang; Shuyuan Wu; Ke Xu; Jing Zhou; Xuening Zhu; et al. (CoRR, 2024)

Citation counts prediction of statistical publications based on multi-layer academic networks via neural network model. - Tianchen Gao; Jingyuan Liu; Rui Pan 004; Hansheng Wang 002 (Expert Syst. Appl., 2024)

A geometric model with stochastic error for abnormal motion detection of portal crane bucket grab. - Baichen Yu; Xiao Wang 054; Hansheng Wang 002 (Eng. Appl. Artif. Intell., 2025)

An attribute-based Node2Vec model for dynamic community detection on co-authorship network. - Tong Zhou; Rui Pan 004; Junfei Zhang; Hansheng Wang 002 (Comput. Stat., 2025)