Hansheng Wang - RankMe

45 papers A* 1C 1Journal 41Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A latent factor model for high-dimensional binary data. J. Multivar. Anal. Jiaxin Shi, Yuan Gao, Rui Pan, Hansheng Wang
2026	J	`jnl`	A latent space model for link prediction in statistical citation network. J. Multivar. Anal. Rui Pan, Yuan Gao, Hansheng Wang
2025	J	`jnl`	A Latent Space Model for Weighted Keyword Co-Occurrence Networks with Applications in Knowledge Discovery in Statistics. J. Comput. Graph. Stat. Yan Zhang, Rui Pan, Xuening Zhu, Kuangnan Fang, Hansheng Wang
2025	J	`jnl`	A geometric model with stochastic error for abnormal motion detection of portal crane bucket grab. Eng. Appl. Artif. Intell. Baichen Yu, Xiao Wang, Hansheng Wang
2025	J	`jnl`	Academic literature recommendation in large-scale citation networks enhanced by large language models. Scientometrics Kun Liu, Yan Zhang, Rui Pan, Tianchen Gao, Hansheng Wang
2025	J	`jnl`	An attribute-based Node2Vec model for dynamic community detection on co-authorship network. Comput. Stat. Tong Zhou, Rui Pan, Junfei Zhang, Hansheng Wang
2025	J	`jnl`	Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes. J. Comput. Graph. Stat. Shuyuan Wu, Jing Zhou, Ke Xu, Hansheng Wang
2025	J	`jnl`	Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction. J. Comput. Graph. Stat. Yuan Gao, Rui Pan, Feng Li, Riquan Zhang, Hansheng Wang
2025	—	`conf`	High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network. PAKDD (7) Siyi Han, Jing Zhou, Xuening Zhu, Zhe Li, Jie Li, Hansheng Wang, Yibing Gong
2025	J	`jnl`	Network embedding for bipartite networks with applications in interlocking directorates in Chinese companies. Comput. Stat. Yan Zhang, Rui Pan, Feifei Wang, Kuangnan Fang, Hansheng Wang
2025	A*	`conf`	Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes. ICML Xuetong Li, Danyang Huang, Hansheng Wang
2024	J	`jnl`	A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques. CoRR Xuetong Li, Yuan Gao, Hong Chang, Danyang Huang, Yingying Ma, Rui Pan, Haobo Qi, Feifei Wang, Shuyuan Wu, Ke Xu, Jing Zhou, Xuening Zhu, Yingqiu Zhu, Hansheng Wang
2024	J	`jnl`	Citation counts prediction of statistical publications based on multi-layer academic networks via neural network model. Expert Syst. Appl. Tianchen Gao, Jingyuan Liu, Rui Pan, Hansheng Wang
2024	J	`jnl`	Gaussian Mixture Models with Rare Events. J. Mach. Learn. Res. Xuetong Li, Jing Zhou, Hansheng Wang
2024	J	`jnl`	Network EM Algorithm for Gaussian Mixture Model in Decentralized Federated Learning. CoRR Shuyuan Wu, Bin Du, Xuetong Li, Hansheng Wang
2023	J	`jnl`	A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint. IEEE Trans. Knowl. Data Eng. Rui Pan, Yingqiu Zhu, Baishan Guo, Xuening Zhu, Hansheng Wang
2023	J	`jnl`	An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models. J. Comput. Graph. Stat. Yuan Gao, Xuening Zhu, Haobo Qi, Guodong Li, Riquan Zhang, Hansheng Wang
2023	J	`jnl`	An ensemble deep learning model for risk stratification of invasive lung adenocarcinoma using thin-slice CT. npj Digit. Medicine Jing Zhou, Bin Hu, Wei Feng, Zhang Zhang, Xiaotong Fu, Handie Shao, Hansheng Wang, Longyu Jin, Siyuan Ai, Ying Ji
2023	C	`conf`	Automatic Discovery of Controversial Legal Judgments by an Entropy-Based Measurement (S). SEKE Jing Zhou, Shan Leng, Fang Wang, Hansheng Wang
2023	—	`conf`	Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification. PAKDD (1) Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang
2023	J	`jnl`	Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator. J. Comput. Graph. Stat. Haobo Qi, Feifei Wang, Hansheng Wang
2022	J	`jnl`	Asymptotic covariance estimation by Gaussian random perturbation. Comput. Stat. Data Anal. Jing Zhou, Wei Lan, Hansheng Wang
2022	J	`jnl`	Embedding Compression for Text Classification Using Dictionary Screening. CoRR Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang
2022	J	`jnl`	Link Prediction for Statistical Collaboration Networks Incorporating Institutes and Research Interests. IEEE Access Xizhuoran Song, Yan Zhang, Rui Pan, Hansheng Wang
2021	J	`jnl`	Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation. Neural Networks Yingqiu Zhu, Danyang Huang, Yuan Gao, Rui Wu, Yu Chen, Bo Zhang, Hansheng Wang
2021	J	`jnl`	Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data. Comput. Stat. Data Anal. Feifei Wang, Yingqiu Zhu, Danyang Huang, Haobo Qi, Hansheng Wang
2021	J	`jnl`	Least-Square Approximation for a Distributed System. J. Comput. Graph. Stat. Xuening Zhu, Feng Li, Hansheng Wang
2021	J	`jnl`	Progressive principle component analysis for compressing deep convolutional neural networks. Neurocomputing Jing Zhou, Haobo Qi, Yu Chen, Hansheng Wang
2020	J	`jnl`	Approximate least squares estimation for spatial autoregressive models with covariates. Comput. Stat. Data Anal. Yingying Ma, Wei Lan, Fanying Zhou, Hansheng Wang
2020	J	`jnl`	Semiparametric model for covariance regression analysis. Comput. Stat. Data Anal. Jin Liu, Yingying Ma, Hansheng Wang
2019	J	`jnl`	Estimating Promotion Effects Using Big Data: A Partially Profiled LASSO Model with Endogeneity Correction. Decis. Sci. Luping Sun, Xiaona Zheng, Ying Jin, Minghua Jiang, Hansheng Wang
2019	J	`jnl`	Least Squares Approximation for a Distributed System. CoRR Xuening Zhu, Feng Li, Hansheng Wang
2019	J	`jnl`	The magic of Electron. Commer. Res. Appl. Jilei Zhou, Jing Zhou, Ying Ding, Hansheng Wang
2018	J	`jnl`	Network linear discriminant analysis. Comput. Stat. Data Anal. Wei Cai, Guoyu Guan, Rui Pan, Xuening Zhu, Hansheng Wang
2015	J	`jnl`	A high dimensional two-sample test under a low dimensional factor structure. J. Multivar. Anal. Yingying Ma, Wei Lan, Hansheng Wang
2015	J	`jnl`	Testing predictor significance with ultra high dimensional multivariate responses. Comput. Stat. Data Anal. Yingying Ma, Wei Lan, Hansheng Wang
2013	J	`jnl`	A note on tail dependence regression. J. Multivar. Anal. Qingzhao Zhang, Deyuan Li, Hansheng Wang
2013	J	`jnl`	Multivariate regression shrinkage and selection by canonical correlation analysis. Comput. Stat. Data Anal. Baiguo An, Jianhua Guo, Hansheng Wang
2012	J	`jnl`	A Bayesian information criterion for portfolio selection. Comput. Stat. Data Anal. Wei Lan, Hansheng Wang, Chih-Ling Tsai
2011	J	`jnl`	Regression Analysis of Asymmetric Pairs in Large-Scale Network Data. Commun. Stat. Simul. Comput. Rui Pan, Hansheng Wang, Chih-Ling Tsai
2010	J	`jnl`	On sparse estimation for semiparametric linear transformation models. J. Multivar. Anal. Hao Helen Zhang, Wenbin Lu, Hansheng Wang
2009	J	`jnl`	Subgroup Analysis via Recursive Partitioning. J. Mach. Learn. Res. Xiaogang Su, Chih-Ling Tsai, Hansheng Wang, David M. Nickerson, Bogong Li
2008	J	`jnl`	A composite logistic regression approach for ordinal panel data regression. Int. J. Data Anal. Tech. Strateg. Ronghua Luo, Hansheng Wang
2008	J	`jnl`	A note on adaptive group lasso. Comput. Stat. Data Anal. Hansheng Wang, Chenlei Leng
2007	J	`jnl`	A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation. Comput. Stat. Data Anal. Hansheng Wang