Yang Feng
Yang Feng
Professor of Biostatistics
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Professional overview
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Yang Feng is a Professor and Ph.D. Program Director of Biostatistics in the School of Global Public Health and an affiliate faculty in the Center for Data Science at New York University. He obtained his Ph.D. in Operations Research at Princeton University in 2010.
Feng's research interests encompass the theoretical and methodological aspects of machine learning, high-dimensional statistics, social network models, and nonparametric statistics, leading to a wealth of practical applications, including Alzheimer's disease, cancer classification, and electronic health records. His research has been funded by multiple grants from the National Institutes of Health (NIH) and the National Science Foundation (NSF), notably the NSF CAREER Award.
He is currently an Associate Editor for the Journal of the American Statistical Association (JASA), the Journal of Business & Economic Statistics (JBES), Journal of Computational & Graphical Statistics (JCGS), and the Annals of Applied Statistics (AoAS). His professional recognitions include being named a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), as well as an elected member of the International Statistical Institute (ISI).
Please visit Dr. Yang Feng's website and Google Scholar page from more information.
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Education
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B.S. in Mathematics, University of Science and Technology of China, Hefei, ChinaPh.D. in Operations Research, Princeton University, Princeton, NJ
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Areas of research and study
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BioinformaticsBiostatisticsHigh-dimensional data analysis/integrationMachine learningModeling Social and Behavioral DynamicsNonparametric statistics
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Publications
Publications
Consistent Estimation of the Number of Communities in Non-uniform Hypergraph Model
Failed retrieving data.Machine collaboration
Failed retrieving data.Machine collaboration
Failed retrieving data.Multi-label Random Subspace Ensemble Classification
Failed retrieving data.Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning
Failed retrieving data.Omics feature selection with the extended SIS R package : identification of a body mass index epigenetic multimarker in the Strong Heart Study
Failed retrieving data.Omics feature selection with the extended SIS R package: identification of a body mass index epigenetic multi-marker in the Strong Heart Study
Failed retrieving data.Prognostic value of DNA methylation subclassification, aneuploidy, and CDKN2A/B homozygous deletion in predicting clinical outcome of IDH mutant astrocytomas
Failed retrieving data.Prognostic value of DNA methylation subclassification, aneuploidy, and CDKN2A/B homozygous deletion in predicting clinical outcome of IDH mutant astrocytomas
Failed retrieving data.Racial distribution of molecularly classified brain tumors
Failed retrieving data.Towards the Theory of Unsupervised Federated Learning : Non-asymptotic Analysis of Federated EM Algorithms
Failed retrieving data.ℓ1-Penalized Multinomial Regression : Estimation, Inference, and Prediction, With an Application to Risk Factor Identification for Different Dementia Subtypes
Failed retrieving data.A flexible quasi-likelihood model for microbiome abundance count data
Failed retrieving data.Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models
Failed retrieving data.DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation
Failed retrieving data.Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
Failed retrieving data.Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness
Failed retrieving data.PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection
Failed retrieving data.Semiparametric Modeling and Analysis for Longitudinal Network Data
Failed retrieving data.Simulation of New York City’s Ventilator Allocation Guideline During the Spring 2020 COVID-19 Surge
Failed retrieving data.Transfer learning under high-dimensional generalized linear models
Failed retrieving data.Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks
Failed retrieving data.Variable selection for high-dimensional generalized linear model with block-missing data
Failed retrieving data.A likelihood-ratio type test for stochastic block models with bounded degrees
Failed retrieving data.Association of hyperglycemia and molecular subclass on survival in IDH-wildtype glioblastoma
Failed retrieving data.