Tonglin Zhang

According to our database, Tonglin Zhang authored at least 41 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, July, 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, Tonglin Zhang

IEEE Trans. Educ., June, 2024

Spatial monitoring to reduce COVID-19 vaccine hesitance.

Ge Lin, Tonglin Zhang

J. Geogr. Syst., April, 2024

Variables selection using L0 penalty.

Tonglin Zhang

Comput. Stat. Data Anal., February, 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

Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security, 2024

2023

Understanding and extending the geographical detector model under a linear regression framework.

Hang Zhang, Guanpeng Dong, Jinfeng Wang, Tong-Lin Zhang, Xiaoyu Meng, Dongyang Yang, Yong Liu, Binbin Lu

Int. J. Geogr. Inf. Sci., November, 2023

SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment.

Ziyang Tang, Xiang Liu, Zuotian Li, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

Briefings Bioinform., September, 2023

spaCI: deciphering spatial cellular communications through adaptive graph model.

Ziyang Tang, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

Briefings Bioinform., January, 2023

Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals.

Tonglin Zhang

J. Comput. Graph. Stat., 2023

Feature Selection for Unsupervised Machine Learning.

Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang, Qianqian Song, Jing Su

Proceedings of the 8th IEEE International Conference on Smart Cloud, 2023

Improved Clustering Using Nice Initialization.

Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Justin Yang

Proceedings of the IEEE Global Communications Conference, 2023

PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease.

Zijia Tang, Tonglin Zhang, Qianqian Song, Jing Su, Baijian Yang

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Asymptotics for The k-means.

Tonglin Zhang

CoRR, 2022

Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm.

Jin Wei-Kocsis, Moein Sabounchi, Baijian Yang, Tonglin Zhang

Proceedings of the IEEE Frontiers in Education Conference, 2022

SemiCon: A Semi-supervised Learning for Industrial Image Inspection.

Weitao Tang, Tonglin Zhang, Baijian Yang

Proceedings of the 9th IEEE International Conference on Cyber Security and Cloud Computing, 2022

2021

Generalized k-means in GLMs with applications to the outbreak of COVID-19 in the United States.

Tonglin Zhang, Ge Lin

Comput. Stat. Data Anal., 2021

2020

HOOD: High-Order Orthogonal Decomposition for Tensors.

Weitao Tang, Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang

Proceedings of the Smart Computing and Communication - 5th International Conference, 2020

Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos.

Xiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Regression PCA for Moving Objects Separation.

Huyunting Huang, Xiang Liu, Tonglin Zhang, Baijian Yang

Proceedings of the IEEE Global Communications Conference, 2020

2019

Substationarity for spatial point processes.

Tonglin Zhang, Jorge Mateu

J. Multivar. Anal., 2019

General Gaussian estimation.

Tonglin Zhang

J. Multivar. Anal., 2019

Multiple Learning for Regression in Big Data.

Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Sparse Block Regression (SBR) for Big Data with Categorical Variables.

Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Wald-based spatial scan statistics for cluster detection.

Ying Liu, Yawen Liu, Tonglin Zhang

Comput. Stat. Data Anal., 2018

Streaming Algorithm for Big Data Logistic Regression.

Baijian Yang, Mengyao Wang, Zhenzhi Xu, Tonglin Zhang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Study of Exact Ridge Regression for Big Data.

Wanchih Chiang, Xiang Liu, Tonglin Zhang, Baijian Yang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Box-Cox Transformation in Big Data.

Tonglin Zhang, Baijian Yang

Technometrics, 2017

Testing proportionality between the first-order intensity functions of spatial point processes.

Tonglin Zhang, Run Zhuang

J. Multivar. Anal., 2017

An exact approach to ridge regression for big data.

Tonglin Zhang, Baijian Yang

Comput. Stat., 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

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

Finding the best box-cox transformation from massive datasets on spark.

Huayi Fang, Baijian Yang, Tonglin Zhang

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

On Moran's | coefficient under heterogeneity.

Tonglin Zhang, Ge Lin

Comput. Stat. Data Anal., 2016

Big Data Dimension Reduction Using PCA.

Tonglin Zhang, Baijian Yang

Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

A Scalable Feature Selection and Model Updating Approach for Big Data Machine Learning.

Baijian Yang, Tonglin Zhang

Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

A Scalable Meta-Model for Big Data Security Analyses.

Baijian Yang, Tonglin Zhang

Proceedings of the 2nd IEEE International Conference on Big Data Security on Cloud, 2016

2014

Family of power divergence spatial scan statistics.

Tonglin Zhang, Ge Lin

Comput. Stat. Data Anal., 2014

2013

On the limiting distribution of the spatial scan statistic.

Tonglin Zhang, Ge Lin

J. Multivar. Anal., 2013

2012

Detection and localization of hidden radioactive sources with spatial statistical method.

Hong Wan, Tonglin Zhang, Yu Zhu

Ann. Oper. Res., 2012

2011

Enabling online geospatial isotopic model development and analysis.

Hyojeong Lee, Lan Zhao, Gabriel J. Bowen, Chris C. Miller, Ajay Kalangi, Tonglin Zhang, Jason B. West

Proceedings of the 2011 TeraGrid Conference - Extreme Digital Discovery, 2011

2009

Spatial scan statistics in loglinear models.

Tonglin Zhang, Ge Lin

Comput. Stat. Data Anal., 2009

2007

A decomposition of Moran's I for clustering detection.

Tonglin Zhang, Ge Lin

Comput. Stat. Data Anal., 2007