Faculty

Institution

Unit

Venue

Tonglin Zhang

Associate Professor of Statistics

Purdue University

Affiliations

College of Science

Statistics

Tonglin Zhang is currently serving as a College Of Science Associate Professor of Statistics at Purdue University.

Honors

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Experiences

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Education

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Tonglin Zhang

Purdue University

Associate Professor of Statistics

You can click a keyword to filter the displayed items

statistics data science machine learning big data spatial analysis epidemiology biostatistics applied statistics statistical inference scientific computing statistical theory statistical methodology computational biology computational statistics spatial statistical analysis machine learning research multivariate analysis spatial scan statistics spatial point processes climate change bibliometrics mathematical statistics radiation detection spatial science principal component analysis marked point processes united states forest ecology plant science livestock science bayesian analysis single-cell analysis agricultural sciences statistical averaging feature selection cluster detection scientific data statistical software computational optimization nature method nature biomedical imaging computational imaging medicinal research science studies arid environments soil science water policy scaling analysis graph processing bioimage analysis radioactive contamination personalized treatments computational genomics first nation primary production adaptation strategies climate change adaptation climate change mitigation paleoclimatology vegetation science tibetan plateau terrestrial ecology plant ecology benchmark datasets northern china lake michigan recycled water subsidies loglinear residual tests breast cancer data adaptive graph model spatial cellular communications loglinear models image-augmented graph transformer single-cell spatial elucidation iterated residuals asymptotic analysis applied mathematics probability theory physical science

Notable Scholarly Works

Notable Federal Grants

Collaborators

Spatial Monitoring to Reduce Covid-19 Vaccine Hesitance. Journal of Geographical Systems (2024)

Ge LinTonglin Zhang

applied geographycovid-19spatial monitoringgeographypublic healthepidemiology

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud. arXiv (Cornell University) (2024)

Zhao, HongHuang, HuyuntingZhang, TonglinYang, BaijianWei-Kocsis, JinFei, Songlin

unsupervised machine learningcomputer sciencemachine learningpoint cloudshuman-made objectsobject detection

Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. IEEE Transactions on Education (2023)

Jin Wei-KocsisMoein SabounchiGihan J. MendisPraveen FernandoBaijian YangTonglin Zhang

educationai educationcybersecurity educationeducational technologyartificial intelligence

Feature Selection for Unsupervised Machine Learning. (2023)

Huyunting HuangZiyang TangTonglin ZhangBaijian YangQianqian SongJing Su

feature selectionunsupervised machine learningcomputer sciencemachine learning

Improved Clustering Using Nice Initialization. GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023)

Huyunting HuangZiyang TangTonglin ZhangBaijian Yang

clusteringdata sciencenice initializationmachine learning

Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models Without Numerical Evaluations of Intractable Integrals. Journal of Computational and Graphical Statistics (2023)

Tonglin Zhang

spatial statistical analysisscientific computingapplied mathematicsmachine learning researchcomputational statisticsnumerical evaluationsstatistical inferencespatial analysisintractable integralscomputational sciencemaximum likelihood algorithmstatistics

PINET: Privileged Information Improve the Interpretablity and Generalization of Structural Mri in Alzheimer's Disease. (2023)

Zijia TangTonglin ZhangQianqian SongJing SuBaijian Yang

variant interpretationmagnetic resonance imagingbrain imagingalzheimer's diseaseneurosciencemedical imaginghealth sciencescognitive sciencestructural mrineuroimagingcognitive neuroscience

SIGRA: Single-Cell Spatial Elucidation Through an Image-Augmented Graph Transformer. Nature Communications (2023)

Ziyang TangZuotian LiTieying HouTonglin ZhangBaijian YangJing SuQianqian Song

biomedical imaginggraph processingsingle-cell analysiscell biologybiological imagingmachine learningneurosciencesystems biologycomputational imagingnaturenature methodimage-augmented graph transformersingle-cell spatial elucidationbioimage analysis

SPARX: Elucidate Single-Cell Spatial Heterogeneity of Drug Responses for Personalized Treatment. Briefings in Bioinformatics (2023)

Ziyang TangXiang LiuZuotian LiTonglin ZhangBaijian YangJing SuQianqian Song

personalized treatmentsbioinformaticssingle-cell analysiscomputational genomicsgenomicsimmunologypharmacologycomputational biologyhealth sciencesmedicinal researchdrug responses

SEMICON: A Semi-Supervised Learning for Industrial Image Inspection. (2022)

Weitao TangTonglin ZhangBaijian Yang

industrial image inspectionsystems engineeringsemi-supervised learningcomputer sciencesupervised learningmachine learningmechanical engineering

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Tonglin Zhang

Associate Professor of Statistics

Purdue University

Affiliations

College of Science

Statistics

Tonglin Zhang is currently serving as a College Of Science Associate Professor of Statistics at Purdue University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Tonglin Zhang

Purdue University

Associate Professor of Statistics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Spatial Monitoring to Reduce Covid-19 Vaccine Hesitance. Journal of Geographical Systems (2024)

Ge LinTonglin Zhang

applied geographycovid-19spatial monitoringgeographypublic healthepidemiology

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud. arXiv (Cornell University) (2024)

Zhao, HongHuang, HuyuntingZhang, TonglinYang, BaijianWei-Kocsis, JinFei, Songlin

unsupervised machine learningcomputer sciencemachine learningpoint cloudshuman-made objectsobject detection

Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. IEEE Transactions on Education (2023)

Jin Wei-KocsisMoein SabounchiGihan J. MendisPraveen FernandoBaijian YangTonglin Zhang

educationai educationcybersecurity educationeducational technologyartificial intelligence

Feature Selection for Unsupervised Machine Learning. (2023)

Huyunting HuangZiyang TangTonglin ZhangBaijian YangQianqian SongJing Su

feature selectionunsupervised machine learningcomputer sciencemachine learning

Improved Clustering Using Nice Initialization. GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023)

Huyunting HuangZiyang TangTonglin ZhangBaijian Yang

clusteringdata sciencenice initializationmachine learning

Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models Without Numerical Evaluations of Intractable Integrals. Journal of Computational and Graphical Statistics (2023)

Tonglin Zhang

PINET: Privileged Information Improve the Interpretablity and Generalization of Structural Mri in Alzheimer's Disease. (2023)

Zijia TangTonglin ZhangQianqian SongJing SuBaijian Yang

variant interpretationmagnetic resonance imagingbrain imagingalzheimer's diseaseneurosciencemedical imaginghealth sciencescognitive sciencestructural mrineuroimagingcognitive neuroscience

SIGRA: Single-Cell Spatial Elucidation Through an Image-Augmented Graph Transformer. Nature Communications (2023)

Ziyang TangZuotian LiTieying HouTonglin ZhangBaijian YangJing SuQianqian Song

SPARX: Elucidate Single-Cell Spatial Heterogeneity of Drug Responses for Personalized Treatment. Briefings in Bioinformatics (2023)

Ziyang TangXiang LiuZuotian LiTonglin ZhangBaijian YangJing SuQianqian Song

personalized treatmentsbioinformaticssingle-cell analysiscomputational genomicsgenomicsimmunologypharmacologycomputational biologyhealth sciencesmedicinal researchdrug responses

SEMICON: A Semi-Supervised Learning for Industrial Image Inspection. (2022)

Weitao TangTonglin ZhangBaijian Yang

industrial image inspectionsystems engineeringsemi-supervised learningcomputer sciencesupervised learningmachine learningmechanical engineering

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2
3
4
5
8
10 / page

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Similar Faculty Members

Mallick, Bani

Institution

Texas A&M University

statistics

bayesian analysis

Vladas Pipiras

Institution

University of North Carolina at Chapel Hill

big data

spatio-temporal stream processing

Piotr Kokoszka

Institution

Colorado State University

nonlinear time series

statistical analysis

Dale Zimmerman

Institution

University of Iowa

model analysis

general system

Marc G. Genton

Institution

Texas A&M University

statistics

data science

Christopher K. Wikle

Institution

University of Missouri

climatology

spatio-temporal model

Xiaofeng Shao

Institution

University of Illinois Urbana-Champaign

geography

statistical analysis

Jun Yan

Institution

University of Connecticut

statistical software

disaster risk science

Douglas Nychka

Institution

Colorado School of Mines

nonparametric regression

geography

Brian Reich

Institution

North Carolina State University

environmental hazard

geography