A decomposition of Moran's I for clustering detection. - Tonglin Zhang; Ge Lin 001 (Comput. Stat. Data Anal., 2007)

Spatial scan statistics in loglinear models. - Tonglin Zhang; Ge Lin 001 (Comput. Stat. Data Anal., 2009)

Enabling online geospatial isotopic model development and analysis. - Hyojeong Lee; Lan Zhao 003; Gabriel J. Bowen; Chris C. Miller; Ajay Kalangi; Tonglin Zhang; Jason B. West (TG, 2011)

Detection and localization of hidden radioactive sources with spatial statistical method. - Hong Wan; Tonglin Zhang; Yu Zhu (Ann. Oper. Res., 2012)

On the limiting distribution of the spatial scan statistic. - Tonglin Zhang; Ge Lin 001 (J. Multivar. Anal., 2013)

Family of power divergence spatial scan statistics. - Tonglin Zhang; Ge Lin 001 (Comput. Stat. Data Anal., 2014)

A Scalable Meta-Model for Big Data Security Analyses. - Baijian Yang 001; Tonglin Zhang (BigDataSecurity/HPSC/IDS, 2016)

A Scalable Feature Selection and Model Updating Approach for Big Data Machine Learning. - Baijian Yang 001; Tonglin Zhang (SmartCloud, 2016)

Big Data Dimension Reduction Using PCA. - Tonglin Zhang; Baijian Yang 001 (SmartCloud, 2016)

On Moran's | coefficient under heterogeneity. - Tonglin Zhang; Ge Lin 001 (Comput. Stat. Data Anal., 2016)

Finding the best box-cox transformation from massive datasets on spark. - Huayi Fang; Baijian Yang 001; Tonglin Zhang (IEEE BigData, 2017)

Finding the Best Box-Cox Transformation in Big Data with Meta-Model Learning: A Case Study on QCT Developer Cloud. - Yuxiang Gao; Tongling Zhang; Baijian Yang 001 (CSCloud, 2017)

An exact approach to ridge regression for big data. - Tonglin Zhang; Baijian Yang 001 (Comput. Stat., 2017)

Testing proportionality between the first-order intensity functions of spatial point processes. - Tonglin Zhang; Run Zhuang (J. Multivar. Anal., 2017)

Box-Cox Transformation in Big Data. - Tonglin Zhang; Baijian Yang 001 (Technometrics, 2017)

A Study of Exact Ridge Regression for Big Data. - Wanchih Chiang; Xiang Liu 016; Tonglin Zhang; Baijian Yang 001 (IEEE BigData, 2018)

Streaming Algorithm for Big Data Logistic Regression. - Baijian Yang 001; Mengyao Wang; Zhenzhi Xu; Tonglin Zhang (IEEE BigData, 2018)

Wald-based spatial scan statistics for cluster detection. - Ying Liu; Yawen Liu; Tonglin Zhang (Comput. Stat. Data Anal., 2018)

Sparse Block Regression (SBR) for Big Data with Categorical Variables. - Xiang Liu 016; Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001 (IEEE BigData, 2019)

Multiple Learning for Regression in Big Data. - Xiang Liu 016; Ziyang Tang; Huyunting Huang; Tonglin Zhang; Baijian Yang 001 (ICMLA, 2019)

General Gaussian estimation. - Tonglin Zhang (J. Multivar. Anal., 2019)

Substationarity for spatial point processes. - Tonglin Zhang; Jorge Mateu 001 (J. Multivar. Anal., 2019)

Regression PCA for Moving Objects Separation. - Huyunting Huang; Xiang Liu 016; Tonglin Zhang; Baijian Yang 001 (GLOBECOM, 2020)

Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. - Xiang Liu 016; Huyunting Huang; Weitao Tang; Tonglin Zhang; Baijian Yang 001 (ICMLA, 2020)

HOOD: High-Order Orthogonal Decomposition for Tensors. - Weitao Tang; Xiang Liu 016; Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001 (SmartCom, 2020)

Generalized k-means in GLMs with applications to the outbreak of COVID-19 in the United States. - Tonglin Zhang; Ge Lin 001 (Comput. Stat. Data Anal., 2021)

SemiCon: A Semi-supervised Learning for Industrial Image Inspection. - Weitao Tang; Tonglin Zhang; Baijian Yang 001 (CSCloud/EdgeCom, 2022)

Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. - Jin Wei-Kocsis; Moein Sabounchi; Baijian Yang 001; Tonglin Zhang (FIE, 2022)

Asymptotics for The k-means. - Tonglin Zhang (CoRR, 2022)

PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease. - Zijia Tang; Tonglin Zhang; Qianqian Song; Jing Su 003; Baijian Yang 001 (BCB, 2023)

Improved Clustering Using Nice Initialization. - Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001 (GLOBECOM, 2023)

Feature Selection for Unsupervised Machine Learning. - Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001; Qianqian Song; Jing Su 003 (SmartCloud, 2023)

Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals. - Tonglin Zhang (J. Comput. Graph. Stat., 2023)

spaCI: deciphering spatial cellular communications through adaptive graph model. - Ziyang Tang; Tonglin Zhang; Baijian Yang 001; Jing Su 003; Qianqian Song (Briefings Bioinform., 2023)

SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment. - Ziyang Tang; Xiang Liu 016; Zuotian Li; Tonglin Zhang; Baijian Yang 001; Jing Su 003; Qianqian Song (Briefings Bioinform., 2023)

Understanding and extending the geographical detector model under a linear regression framework. - Hang Zhang; Guanpeng Dong; Jinfeng Wang 001; Tong-Lin Zhang; Xiaoyu Meng; Dongyang Yang; Yong Liu; Binbin Lu (Int. J. Geogr. Inf. Sci., 2023)

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud. - Hong Zhao; Huyunting Huang; Tonglin Zhang; Baijian Yang 001; Jin Wei-Kocsis; Songlin Fei (IEEE Big Data, 2024)

Analysis of Infringement Determination Methods in Personal Information Protection Disputes Based on Machine Learning. - Zhengle Li; Ying Pan; Tonglin Zhang; Yan Zhou; Xinying Huang; Xiaolong Chai (GAIIS, 2024)

Variables selection using L0 penalty. - Tonglin Zhang (Comput. Stat. Data Anal., 2024)

Spatial monitoring to reduce COVID-19 vaccine hesitance. - Ge Lin 001; Tonglin Zhang (J. Geogr. Syst., 2024)

Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. - Jin Wei-Kocsis; Moein Sabounchi; Gihan J. Mendis; Praveen Fernando; Baijian Yang 001; Tonglin Zhang (IEEE Trans. Educ., 2024)

A Dynamic Multi-Scale Convolution Model for Face Recognition Using Event-Related Potentials. - Shengkai Li; Tonglin Zhang; Fangmei Yang; Xian Li; Ziyang Wang; Dongjie Zhao (Sensors, 2024)