Tonglin Zhang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 34

Top Topics

Categorical Variables

Dimension Reduction

Top Venues

Comput. Stat. Data Anal.

J. Multivar. Anal.

Publications

Ge Lin, Tonglin Zhang
Spatial monitoring to reduce COVID-19 vaccine hesitance. J. Geogr. Syst. 26 (2) (2024)
Zhengle Li, Ying Pan, Tonglin Zhang, Yan Zhou, Xinying Huang, Xiaolong Chai
Analysis of Infringement Determination Methods in Personal Information Protection Disputes Based on Machine Learning. GAIIS (2024)
Shengkai Li, Tonglin Zhang, Fangmei Yang, Xian Li, Ziyang Wang, Dongjie Zhao
A Dynamic Multi-Scale Convolution Model for Face Recognition Using Event-Related Potentials. Sensors 24 (13) (2024)
Tonglin Zhang
Variables selection using L0 penalty. Comput. Stat. Data Anal. 190 (2024)
Jin Wei-Kocsis, Moein Sabounchi, Gihan J. Mendis, Praveen Fernando, Baijian Yang, Tonglin Zhang
Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. IEEE Trans. Educ. 67 (3) (2024)
Ziyang Tang, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song
spaCI: deciphering spatial cellular communications through adaptive graph model. Briefings Bioinform. 24 (1) (2023)
Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang, Qianqian Song, Jing Su
Feature Selection for Unsupervised Machine Learning. SmartCloud (2023)
Ziyang Tang, Xiang Liu, Zuotian Li, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song
SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment. Briefings Bioinform. 24 (6) (2023)
Zijia Tang, Tonglin Zhang, Qianqian Song, Jing Su, Baijian Yang
PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease. BCB (2023)
Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Justin Yang
Improved Clustering Using Nice Initialization. GLOBECOM (2023)
Tonglin Zhang
Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals. J. Comput. Graph. Stat. 32 (4) (2023)
Weitao Tang, Tonglin Zhang, Baijian Yang
SemiCon: A Semi-supervised Learning for Industrial Image Inspection. CSCloud/EdgeCom (2022)
Tonglin Zhang
Asymptotics for The k-means. CoRR (2022)
Jin Wei-Kocsis, Moein Sabounchi, Baijian Yang, Tonglin Zhang
Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. FIE (2022)
Tonglin Zhang, Ge Lin
Generalized k-means in GLMs with applications to the outbreak of COVID-19 in the United States. Comput. Stat. Data Anal. 159 (2021)
Xiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang
Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. ICMLA (2020)
Weitao Tang, Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang
HOOD: High-Order Orthogonal Decomposition for Tensors. SmartCom (2020)
Huyunting Huang, Xiang Liu, Tonglin Zhang, Baijian Yang
Regression PCA for Moving Objects Separation. GLOBECOM (2020)
Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang
Multiple Learning for Regression in Big Data. ICMLA (2019)
Tonglin Zhang
General Gaussian estimation. J. Multivar. Anal. 169 (2019)
Tonglin Zhang, Jorge Mateu
Substationarity for spatial point processes. J. Multivar. Anal. 171 (2019)
Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang
Sparse Block Regression (SBR) for Big Data with Categorical Variables. IEEE BigData (2019)
Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang
Multiple Learning for Regression in big data. CoRR (2019)
Baijian Yang, Mengyao Wang, Zhenzhi Xu, Tonglin Zhang
Streaming Algorithm for Big Data Logistic Regression. IEEE BigData (2018)
Wanchih Chiang, Xiang Liu, Tonglin Zhang, Baijian Yang
A Study of Exact Ridge Regression for Big Data. IEEE BigData (2018)
Ying Liu, Yawen Liu, Tonglin Zhang
Wald-based spatial scan statistics for cluster detection. Comput. Stat. Data Anal. 127 (2018)
Tonglin Zhang, Run Zhuang
Testing proportionality between the first-order intensity functions of spatial point processes. J. Multivar. Anal. 155 (2017)
Huayi Fang, Baijian Yang, Tonglin Zhang
Finding the best box-cox transformation from massive datasets on spark. IEEE BigData (2017)
Tonglin Zhang, Baijian Yang
Box-Cox Transformation in Big Data. Technometrics 59 (2) (2017)
Tonglin Zhang, Baijian Yang
An exact approach to ridge regression for big data. Comput. Stat. 32 (3) (2017)
Tonglin Zhang, Baijian Yang
Big Data Dimension Reduction Using PCA. SmartCloud (2016)
Baijian Yang, Tonglin Zhang
A Scalable Feature Selection and Model Updating Approach for Big Data Machine Learning. SmartCloud (2016)
Tonglin Zhang, Ge Lin
On Moran's | coefficient under heterogeneity. Comput. Stat. Data Anal. 95 (2016)
Baijian Yang, Tonglin Zhang
A Scalable Meta-Model for Big Data Security Analyses. BigDataSecurity/HPSC/IDS (2016)
Tonglin Zhang, Ge Lin
Family of power divergence spatial scan statistics. Comput. Stat. Data Anal. 75 (2014)
Tonglin Zhang, Ge Lin
On the limiting distribution of the spatial scan statistic. J. Multivar. Anal. 122 (2013)
Hong Wan, Tonglin Zhang, Yu Zhu
Detection and localization of hidden radioactive sources with spatial statistical method. Ann. Oper. Res. 192 (1) (2012)
Hyojeong Lee, Lan Zhao, Gabriel J. Bowen, Chris C. Miller, Ajay Kalangi, Tonglin Zhang, Jason B. West
Enabling online geospatial isotopic model development and analysis. TG (2011)
Tonglin Zhang, Ge Lin
Spatial scan statistics in loglinear models. Comput. Stat. Data Anal. 53 (8) (2009)
Tonglin Zhang, Ge Lin
A decomposition of Moran's I for clustering detection. Comput. Stat. Data Anal. 51 (12) (2007)