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Yang Feng

New York University · US
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Area of research
Statistics and Probability · Artificial Intelligence
Research interest
Research interests include Computer science, Estimator, Medicine, Consistency (knowledge bases), Internal medicine, and Mathematics.
h-index
citations
740
works
17
NIH funding
primary concept
email

Recent publications

The effect of TERT promoter mutation on predicting meningioma outcomes: a multi-institutional cohort analysis
The Lancet Oncology 2025cited by 10position: middledoi
Prognostic value of DNA methylation subclassification, aneuploidy, and <i>CDKN2A/B</i> homozygous deletion in predicting clinical outcome of IDH mutant astrocytomas
Neuro-Oncology 2024cited by 12position: middledoi
Transfer Learning Under High-Dimensional Generalized Linear Models
Journal of the American Statistical Association 2022cited by 126position: lastdoi
Testing community structure for hypergraphs
The Annals of Statistics 2022cited by 26position: middledoi
Spectral Clustering via Adaptive Layer Aggregation for Multi-Layer Networks
Journal of Computational and Graphical Statistics 2022cited by 21position: lastdoi
Imbalanced classification: A paradigm‐based review
Statistical Analysis and Data Mining The ASA Data Science Journal 2021cited by 70position: firstdoi
Comparison of solid tissue sequencing and liquid biopsy accuracy in identification of clinically relevant gene mutations and rearrangements in lung adenocarcinomas
Modern Pathology 2021cited by 59position: middledoi
Model Averaging for Nonlinear Regression Models
Journal of Business and Economic Statistics 2021cited by 34position: firstdoi
Association of body composition parameters measured on CT with risk of hospitalization in patients with Covid-19
European Journal of Radiology 2021cited by 19position: middledoi
RaSE: A Variable Screening Framework via Random Subspace Ensembles
Journal of the American Statistical Association 2021cited by 16position: lastdoi
Visceral adipose tissue in patients with COVID-19: risk stratification for severity
Abdominal Radiology 2020cited by 55position: middledoi
Mediation effect selection in high‐dimensional and compositional microbiome data
Statistics in Medicine 2020cited by 34position: middledoi
A projection-based conditional dependence measure with applications to high-dimensional undirected graphical models
Journal of Econometrics 2020cited by 31position: middledoi
On the sparsity of Mallows model averaging estimator
Economics Letters 2019cited by 18position: firstdoi
Neyman-Pearson classification algorithms and NP receiver operating characteristics
Science Advances 2018cited by 83position: middledoi
Model Selection for High-Dimensional Quadratic Regression via Regularization
Journal of the American Statistical Association 2016cited by 101position: middledoi
Tuning-parameter selection in regularized estimations of large covariance matrices
Journal of Statistical Computation and Simulation 2015cited by 25position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Artem Mikheev · New York University2 papers (2020–2021)Xin Tong · Princeton University2 papers (2018–2021)Hersh Chandarana · New York University2 papers (2020–2021) · 2 papers (2019–2021)Bari Dane · NYU Langone Health2 papers (2020–2021)Henry Rusinek · New York University2 papers (2020–2021)Jingyi Jessica Li · QB31 papers (2018–2018) · 1 papers (2022–2022)Kyung Park · Kyung Hee University1 papers (2021–2021) · 1 papers (2019–2019)Guomiao Shen · New York University1 papers (2021–2021)Fang Zhou · Zhejiang Hospital1 papers (2021–2021)Rachel Krieger · Emory University1 papers (2021–2021)Vamsidhar Velcheti · NYU Langone Health1 papers (2021–2021)Yixin Fang · New York University1 papers (2015–2015)Mingao Yuan · Indiana University1 papers (2022–2022)Ye Tian · The University of Melbourne1 papers (2021–2021)Zuofeng Shang · Virginia Tech1 papers (2022–2022)Xiaojun Feng · New York University1 papers (2021–2021)George Jour · New York University1 papers (2021–2021)
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