Zhiling Gu
Postdoctoral AssociateAbout
Research
Publications
Featured Publications
Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference
Gu Z, Yu S, Wang G, Wang L. Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference. Journal Of The American Statistical Association 2025, 1-27. DOI: 10.1080/01621459.2025.2552510.Peer-Reviewed Original ResearchSpatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi‐Varying Coefficient Models With Structure Identification
Gu Z, Li X, Wang G, Wang L. Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi‐Varying Coefficient Models With Structure Identification. Journal Of Time Series Analysis 2025 DOI: 10.1111/jtsa.70002.Peer-Reviewed Original ResearchConstant coefficientsEstimators of constant coefficientsCoefficient modelCoefficient functionsStatistical inferenceMonte Carlo simulationsStatistical powerAutomatic structure identificationResponse variablesCarlo simulationsStructure identification methodEstimationConstant effectComputational efficiencyIdentification methodGeneralizationCoefficientModel structureEvaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Cramer E, Ray E, Lopez V, Bracher J, Brennen A, Rivadeneira A, Gerding A, Gneiting T, House K, Huang Y, Jayawardena D, Kanji A, Khandelwal A, Le K, Mühlemann A, Niemi J, Shah A, Stark A, Wang Y, Wattanachit N, Zorn M, Gu Y, Jain S, Bannur N, Deva A, Kulkarni M, Merugu S, Raval A, Shingi S, Tiwari A, White J, Abernethy N, Woody S, Dahan M, Fox S, Gaither K, Lachmann M, Meyers L, Scott J, Tec M, Srivastava A, George G, Cegan J, Dettwiller I, England W, Farthing M, Hunter R, Lafferty B, Linkov I, Mayo M, Parno M, Rowland M, Trump B, Zhang-James Y, Chen S, Faraone S, Hess J, Morley C, Salekin A, Wang D, Corsetti S, Baer T, Eisenberg M, Falb K, Huang Y, Martin E, McCauley E, Myers R, Schwarz T, Sheldon D, Gibson G, Yu R, Gao L, Ma Y, Wu D, Yan X, Jin X, Wang Y, Chen Y, Guo L, Zhao Y, Gu Q, Chen J, Wang L, Xu P, Zhang W, Zou D, Biegel H, Lega J, McConnell S, Nagraj V, Guertin S, Hulme-Lowe C, Turner S, Shi Y, Ban X, Walraven R, Hong Q, Kong S, van de Walle A, Turtle J, Ben-Nun M, Riley S, Riley P, Koyluoglu U, DesRoches D, Forli P, Hamory B, Kyriakides C, Leis H, Milliken J, Moloney M, Morgan J, Nirgudkar N, Ozcan G, Piwonka N, Ravi M, Schrader C, Shakhnovich E, Siegel D, Spatz R, Stiefeling C, Wilkinson B, Wong A, Cavany S, España G, Moore S, Oidtman R, Perkins A, Kraus D, Kraus A, Gao Z, Bian J, Cao W, Ferres J, Li C, Liu T, Xie X, Zhang S, Zheng S, Vespignani A, Chinazzi M, Davis J, Mu K, Pastore y Piontti A, Xiong X, Zheng A, Baek J, Farias V, Georgescu A, Levi R, Sinha D, Wilde J, Perakis G, Bennouna M, Nze-Ndong D, Singhvi D, Spantidakis I, Thayaparan L, Tsiourvas A, Sarker A, Jadbabaie A, Shah D, Della Penna N, Celi L, Sundar S, Wolfinger R, Osthus D, Castro L, Fairchild G, Michaud I, Karlen D, Kinsey M, Mullany L, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Lee E, Dent J, Grantz K, Hill A, Kaminsky J, Kaminsky K, Keegan L, Lauer S, Lemaitre J, Lessler J, Meredith H, Perez-Saez J, Shah S, Smith C, Truelove S, Wills J, Marshall M, Gardner L, Nixon K, Burant J, Wang L, Gao L, Gu Z, Kim M, Li X, Wang G, Wang Y, Yu S, Reiner R, Barber R, Gakidou E, Hay S, Lim S, Murray C, Pigott D, Gurung H, Baccam P, Stage S, Suchoski B, Prakash B, Adhikari B, Cui J, Rodríguez A, Tabassum A, Xie J, Keskinocak P, Asplund J, Baxter A, Oruc B, Serban N, Arik S, Dusenberry M, Epshteyn A, Kanal E, Le L, Li C, Pfister T, Sava D, Sinha R, Tsai T, Yoder N, Yoon J, Zhang L, Abbott S, Bosse N, Funk S, Hellewell J, Meakin S, Sherratt K, Zhou M, Kalantari R, Yamana T, Pei S, Shaman J, Li M, Bertsimas D, Lami O, Soni S, Bouardi H, Ayer T, Adee M, Chhatwal J, Dalgic O, Ladd M, Linas B, Mueller P, Xiao J, Wang Y, Wang Q, Xie S, Zeng D, Green A, Bien J, Brooks L, Hu A, Jahja M, McDonald D, Narasimhan B, Politsch C, Rajanala S, Rumack A, Simon N, Tibshirani R, Tibshirani R, Ventura V, Wasserman L, O’Dea E, Drake J, Pagano R, Tran Q, Ho L, Huynh H, Walker J, Slayton R, Johansson M, Biggerstaff M, Reich N. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2113561119. PMID: 35394862, PMCID: PMC9169655, DOI: 10.1073/pnas.2113561119.Peer-Reviewed Original ResearchConceptsAccurate probabilistic forecastsProbabilistic forecastsUS COVID-19 Forecast HubMultimodel ensemble forecastsShort-term probabilistic forecastingCOVID-19 Forecast HubAcademic modeling teamsScientific modeling communityForecast skillEnsemble forecastsForecast HubForecasting modelModeling communityForecastingGeospatial unitsIndividual modelsModeling capabilitiesModeling teamsForecasting accuracyHorizonMultimodelUnited StatesPredictionModelGovernmental public health agencies
2025
TSSS: a novel triangulated spherical spline smoothing for surface-based data
Gu Z, Yu S, Wang G, Lai M, Wang L. TSSS: a novel triangulated spherical spline smoothing for surface-based data. Journal Of Nonparametric Statistics 2025, 37: 683-712. PMID: 40933843, PMCID: PMC12419768, DOI: 10.1080/10485252.2025.2449886.Peer-Reviewed Original ResearchConvergence ratePenalized spline estimatorsPointwise confidence intervalsEffective signal extractionAsymptotic normalityNonparametric estimationSpline estimatorSpline smoothingTheoretical guaranteesBootstrap methodNonparametric methodsData applicationsComplex objectsComplex domainComputational efficiencySurface patchesConvergenceSignal extractionEstimationBoundary effectsConfidence intervalsBootstrapGuaranteesSurface-based dataNeuroimaging data
2021
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing
Wang G, Gu Z, Li X, Yu S, Kim M, Wang Y, Gao L, Wang L. Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing. Journal Of Applied Statistics 2021, 50: 2408-2434. PMID: 37529572, PMCID: PMC10388824, DOI: 10.1080/02664763.2021.1928016.Peer-Reviewed Original ResearchMethods, Challenges, and Practical Issues of COVID-19 Projection: A Data Science Perspective
Kim M, Gu Z, Yu S, Wang G, Wang L. Methods, Challenges, and Practical Issues of COVID-19 Projection: A Data Science Perspective. Journal Of Data Science 2021, 219-242. DOI: 10.6339/21-jds1013.Peer-Reviewed Original ResearchModeling and Forecasting COVID-19
Wang L, Wang G, Li X, Yu S, Kim M, Wang Y, Gu Z, Gao L. Modeling and Forecasting COVID-19. Notices Of The American Mathematical Society 2021, 68: 1. DOI: 10.1090/noti2263.Peer-Reviewed Original Research
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