Faculty

Institution

Unit

Venue

Jiashun Jin

Professor of Statistics

Carnegie Mellon University

Affiliations

Dietrich College of Humanities and Social Sciences

Statistics & Data Science

School of Computer Science

Machine Learning

Jiashun Jin is currently serving as a Dietrich College Of Humanities And Social Sciences Professor of Statistics at Carnegie Mellon University.

Honors

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Experiences

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Education

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Jiashun Jin

Carnegie Mellon University

Professor of Statistics

You can click a keyword to filter the displayed items

statistics data science applied statistics statistical methodology computational statistics applied mathematics biostatistics statistical inference machine learning high-dimensional statistics statistical theory network analysis pattern recognition network science granular computing bayesian analysis information fusion bibliometrics feature selection numerical algorithms machine learning research signal detection statistical science statistical foundation convex analysis statistical learning theory higher criticism computational optimization mathematical optimization scientific computing global optimization mixture analysis statistical signal processing statistical analysis data privacy mathematical programming sparse representations classification method engineering optimization rare event estimation parametric programming large-scale global optimization estimation theory community discovery community structure multidisciplinary optimization high-energy astrophysics astrostatistics mixture of expert density estimation mixture distribution nonnull effects high dimensional clustering relativistic astrophysics parameter identification dna nanotechnology signal reconstruction compressive sensing algorithmic information theory large-scale inference marginal regression mixed membership estimation large-scale multiple testing co-authorship networks citation networks meta-analysis astronomical image analysis astroinformatics robustness (computer science) sparse heterogeneous mixtures community detection correlated noise sparse signals optimal feature selection non-gaussian cold spot large-scale multiple comparisons social networks intelligent systems descriptive statistics pure mathematics history of mathematics neuroscience microeconomics discrete mathematics computational astrophysics philosophy of mathematics statistical machine learning applied artificial intelligence economic theory intelligent computing planetary change space research statistical thinking soft computing observational astronomy mathematics education acta astronautica foundation of mathematics econometric methods economic modelling image analysis optical image recognition statistical hypothesis test econometric models general systems statistical software behavioral statistic digital image processing econometrics astronomical coordinate system astrophysics economic analysis

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comparison of Deepseek and Other Llms. The American Statistician (2026)

statistical thinkingstatistical foundationstatistical theorystatistical inferencestatistical sciencemachine learning researchdata scienceinferencelarge-scale datasetsstatistical reviewapplied statisticsbiostatisticsstatistical methodologybehavioral statisticstatistical hypothesis testcomputational statisticsmodel selectionquantitative science studiesstatistical softwarebayesian analysisstatisticsstatistical models

Optimal Estimators and Tests for Reciprocal Effects. (2026)

economic researcheconometricseconometric methodsapplied statisticsstatistical theoryeconomicsstatisticsstatistical methodologyestimation statistic

A Comparison of Deepseek and Other Llms. arXiv (Cornell University) (2025)

deepfakesneural network (machine learning)risc-vdeep learninghigh performance computer architecturemachine learningother llmscomputer science

Counting Cycles With Deepseek. (2025)

Fitting Networks With a Cancellation Trick. 13th International Conference on Learning Representations Iclr 2025 (2025)

network theorytelecommunication networksglobal networkscommunications systemsnetwork topologynetwork scienceapplied mathematicsnetwork analysiscomputer science

Network Goodness-Of-Fit for the Block-Model Family. Journal of the American Statistical Association (2025)

Jiashun JinZheng Tracy KeJiajun TangJingming Wang

applied statisticsstatisticsnetwork goodness-of-fitblock-model family

Network Goodness-Of-Fit for the Block-Model Family. Journal of the American Statistical Association (2025)

network theorystatistical theoryblock designsdata sciencesocial simulationglobal networkscomplex systemsnetwork sciencenetwork analysisnetwork modelsstatistical reviewscientometricsapplied statisticsbiostatisticsstatistical methodologybehavioral statisticstatistical hypothesis teststatistical softwareinformetricssocial network analysishigh-dimensional networkstatistics

Optimal Network Pairwise Comparison. Journal of the American Statistical Association (2025)

network theoryinteraction networkhigh-dimensional statisticsnetwork algorithmsdata sciencesocial simulationglobal networkscomplex systemsnetwork sciencenetwork analysisscientometricsapplied statisticsgraph theorybiostatisticsstatistical methodologycomputational statisticsstatistical softwareinformetricssocial network analysishigh-dimensional networkstatisticseconomics of networks

Statistics and AI: A Fireside Conversation. Harvard Data Science Review (2025)

Xihong LinTianxi CaiDavid DonohoHaoda FuTracy KeJiashun JinXiao-Li MengAnnie QuChengchun ShiPeter SongQiang SunWenyi WangHulin WuBin YuHeping ZhangTian ZhengHarrison ZhouJin ZhouHongtu ZhuJi Zhu

statisticsstatistical reviewartificial intelligencedata science

Improved Algorithm and Bounds for Successive Projection. arXiv (2024)

projection systemsnumerical algorithmscomputational geometryinverse problemsglobal optimizationapplied mathematicsapproximation theorygeometric algorithmscomputer science

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10 / page

Jiashun Jin

Professor of Statistics

Carnegie Mellon University

Affiliations

Dietrich College of Humanities and Social Sciences

Statistics & Data Science

School of Computer Science

Machine Learning

Jiashun Jin is currently serving as a Dietrich College Of Humanities And Social Sciences Professor of Statistics at Carnegie Mellon 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

Jiashun Jin

Carnegie Mellon University

Professor of Statistics

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comparison of Deepseek and Other Llms. The American Statistician (2026)

Optimal Estimators and Tests for Reciprocal Effects. (2026)

economic researcheconometricseconometric methodsapplied statisticsstatistical theoryeconomicsstatisticsstatistical methodologyestimation statistic

A Comparison of Deepseek and Other Llms. arXiv (Cornell University) (2025)

deepfakesneural network (machine learning)risc-vdeep learninghigh performance computer architecturemachine learningother llmscomputer science

Counting Cycles With Deepseek. (2025)

Fitting Networks With a Cancellation Trick. 13th International Conference on Learning Representations Iclr 2025 (2025)

network theorytelecommunication networksglobal networkscommunications systemsnetwork topologynetwork scienceapplied mathematicsnetwork analysiscomputer science

Network Goodness-Of-Fit for the Block-Model Family. Journal of the American Statistical Association (2025)

Jiashun JinZheng Tracy KeJiajun TangJingming Wang

applied statisticsstatisticsnetwork goodness-of-fitblock-model family

Network Goodness-Of-Fit for the Block-Model Family. Journal of the American Statistical Association (2025)

Optimal Network Pairwise Comparison. Journal of the American Statistical Association (2025)

Statistics and AI: A Fireside Conversation. Harvard Data Science Review (2025)

Xihong LinTianxi CaiDavid DonohoHaoda FuTracy KeJiashun JinXiao-Li MengAnnie QuChengchun ShiPeter SongQiang SunWenyi WangHulin WuBin YuHeping ZhangTian ZhengHarrison ZhouJin ZhouHongtu ZhuJi Zhu

statisticsstatistical reviewartificial intelligencedata science

Improved Algorithm and Bounds for Successive Projection. arXiv (2024)

projection systemsnumerical algorithmscomputational geometryinverse problemsglobal optimizationapplied mathematicsapproximation theorygeometric algorithmscomputer science

1
2
3
4
5
18
10 / page

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general systems

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intrinsic low dimensionality

granular computing

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philosophical inquiry

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