Publications

Ye Tian, Haolei Weng, Yang Feng (2022). Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models.

Ye Tian, Yang Feng (2022). Transfer Learning under High-dimensional Generalized Linear Models. Journal of the American Statistical Association.

Mingao Yuan, Ruiqi Liu, Yang Feng, Zuofeng Shang (2022). Testing Community Structures for Hypergraphs. Annals of Statistics.

Emre Demirkaya, Yang Feng, Pallavi Basu, Jinchi Lv (2022). Large-Scale Model Selection with Misspecification. Biometrika.

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Haolei Weng, Yang Feng (2022). Community detection with nodal information: likelihood and its variational approximation. Stat.

Mingao Yuan, Yang Feng, Zuofeng Shang (2022). A likelihood-ratio type test for stochastic block models with bounded degrees. Journal of Statistical Planning and Inference.

Jianan (Zoe) Zhu, Yang Feng (2021). Super RaSE: Super Random Subspace Ensemble Classification.

Hersh Chandarana, Bari Dane, Artem Mikheev, Myles T Taffel, Yang Feng, Henry Rusinek (2021). Visceral adipose tissue in patients with COVID-19: risk stratification for severity. Abdominal Radiology.

Francesca Tang, Yang Feng, Hamza Chiheb, Jianqing Fan (2021). The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of US COVID-19 Cases. Journal of the American Statistical Association.

Ye Tian, Yang Feng (2021). RaSE: Random Subspace Ensemble Classification. Journal of Machine Learning Research.

Ye Tian, Yang Feng (2021). RaSE: A Variable Screening Framework via Random Subspace Ensembles. Journal of American Statistical Association.

Kashif Yousuf, Yang Feng (2021). Partial Distance Correlation Screening for High Dimensional Time Series. Journal of Business & Economic Statistics.

Yang Feng, Qingfeng Liu (2019), Qingsong Yao, Guoqing Zhao (2021). Model Averaging for Nonlinear Regression Models. Journal of Business & Economic Statistics.

Haixiang Zhang, Jun Chen, Yang Feng, Chan Wang, Huilin Li, Lei Liu (2021). Mediation effect selection in high-dimensional and compositional microbiome data. Statistics in medicine.

Yang Feng, Min Zhou, Xin Tong (2021). Imbalanced classification: A paradigm-based review. Statistical Analysis and Data Mining: The ASA Data Science Journal.

Lawrence Hsu Lin, Douglas HR Allison, Yang Feng, George Jour, Kyung Park, Fang Zhou, Andre L Moreira, Guomiao Shen, Xiaojun Feng, Joshua Sabari, others (2021). Comparison of solid tissue sequencing and liquid biopsy accuracy in identification of clinically relevant gene mutations and rearrangements in lung adenocarcinomas. Modern Pathology.

Margaret A Black, Guomiao Shen, Xiaojun Feng, Wilfredo Garcia Beltran, Yang Feng, Varshini Vasudevaraja, Douglas Allison, Lawrence H Lin, Tatyana Gindin, Michael Astudillo, others (2021). Analytical performance of lateral flow immunoassay for SARS-CoV-2 exposure screening on venous and capillary blood samples. Journal of Immunological Methods.

Rebecca A Betensky, Yang Feng (2020). Accounting for incomplete testing in the estimation of epidemic parameters. International Journal of Epidemiology.

Sihan Huang, Haolei Weng, Yang Feng (2020). Spectral clustering via adaptive layer aggregation for multi-layer networks. arXiv preprint arXiv:2012.04646.

Yang Feng, Qingfeng Liu (2019), Ryo Okui (2020). On the sparsity of Mallows model averaging estimator. Economics Letters.

Haolei Weng, Yang Feng (2020). On the estimation of correlation in a binary sequence model. Journal of Statistical Planning and Inference.

Haolei Weng, Yang Feng (2020). On the estimation of correlation in a binary sequence model. Journal of Statistical Planning and Inference.

Xin Tong, Lucy Xia, Jiacheng Wang, Yang Feng (2020). Neyman-Pearson classification: parametrics and sample size requirement. Journal of Machine Learning Research.

Jianqing Fan, Yang Feng, Lucy Xia (2020). A Projection Based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models. Journal of Econometrics.

Yang Feng, Yi Yu (2019). The restricted consistency property of leave-$n_v$-out cross-validation for high-dimensional variable selection. Statistica Sinica.

Haolei Weng, Yang Feng, Xingye Qiao (2019). Regularization after retention in ultrahigh dimensional linear regression models. Statistica Sinica.

Yang Feng, Tengfei Li, Zhiliang Ying (2019). Likelihood adaptively modified penalties. Applied Stochastic Models in Business and Industry.

Juan Liu, Emmanouil Z. Psarakis, Yang Feng, Ioannis Stamos (2019). A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images. IEEE Transactions on Pattern Analysis and Machine Intelligence.

PDF DOI Supplementary Materials

Diego Franco Saldana, Yang Feng (2018). SIS: An R Package for Sure Independence Screening in Ultrahigh-Dimensional Statistical Models. Journal of Statistical Software.

Xiaoli Gao, Yang Feng (2018). Penalized weighted least absolute deviation regression. Statistics and Its Interface.

Sihan Huang, Yang Feng (2018). Pairwise Covariates-adjusted Block Model for Community Detection. arXiv preprint arXiv:1807.03469.

Yang Feng, Yichao Wu, Leonard Stefanski (2018). Nonparametric Independence Screening via Favored Smoothing Bandwidth. Journal of Statistical Planning and Inference.

Xin Tong, Yang Feng, Jingyi Jessica Li (2018). Neyman-Pearson classification algorithms and NP receiver operating characteristics. Science Advances.

Ning Hao, Yang Feng, Hao Helen Zhang (2018). Model Selection for High Dimensional Quadratic Regression via Regularization. Journal of the American Statistical Association.

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Slim Fourati, Aarthi Talla, Mehrad Mahmoudian, Joshua G Burkhart, Riku Klen, Ricardo Henao, Thomas Yu, Zafer Aydin, Ka Yee Yeung, Mehmet Eren Ahsen, others (2018). A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection. Nature communications.

Yang Feng, Mengjia Yu (2017). Regularization After Marginal Learning for Ultra-High Dimensional Regression Models. Big and Complex Data Analysis.

Xiaoli Gao, SE Ahmed, Yang Feng (2017). Post selection shrinkage estimation for high-dimensional data analysis. Applied Stochastic Models in Business and Industry.

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Jiadong Ji, Di He, Yang Feng, Yong He, Fuzhong Xue, Lei Xie (2017). JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data. Bioinformatics.

Diego Franco Saldana, Yi Yu, Yang Feng (2017). How Many Communities Are There?. Journal of Computational and Graphical Statistics.

Yang Feng (2017). Discussion on 'Random-projection ensemble classification' by Cannings and Samworth. Journal of the Royal Statistical Society, Ser. B..

Tengfei Li, Kani Chen, Yang Feng, Zhiliang Ying (2017). Binary Switch Portfolio. Quantitative Finance.

Y. Liu, Y. Wang, Y. Feng, M. W. Melanie (2016). Variable Selection and Prediction with Incomplete High-Dimensional Data. The Annals of Applied Statistics.

Yixin Fang, Binhuan Wang, Yang Feng (2016). Tuning-parameter selection in regularized estimations of large covariance matrices. Journal of Statistical Computation and Simulation.

Anqi Zhao, Yang Feng, Lie Wang, Xin Tong (2016). Neyman-Pearson Classification under High-Dimensional Settings. Journal of Machine Learning Research.

Jianqing Fan, Yang Feng, Jiancheng Jiang, Xin Tong (2016). Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification. Journal of the American Statistical Association.

Xin Tong, Yang Feng, Anqi Zhao (2016). A survey on Neyman-Pearson classification and suggestions for future research. Wiley Interdisciplinary Reviews: Computational Statistics.

Weiping Ma, Yang Feng, Kani Chen, Zhiliang Ying (2015). Functional and Parametric Estimation in a Semi-and Nonparametric Model with Application to Mass-Spectrometry Data. The international journal of biostatistics.

Yixin Fang, Yang Feng, Ming Yuan (2014). Regularized principal components of heritability. Computational Statistics.

Yi Yu, Yang Feng (2014). Modified Cross-Validation for LASSO Penalized High-Dimensional Linear Models. Journal of Computational and Graphical Statistics.

Yi Yu, Yang Feng (2014). APPLE: Approximate Path for Penalized Likelihood Estimators. Statistics and Computing.

Yang Feng, Xin Tong (2013). A conversation with Jianqing Fan. ICSA Bulletin.

Jianqing Fan, Yang Feng, Xin Tong (2012). A road to classification in high dimensional space: the regularized optimal affine discriminant. Journal of the Royal Statistical Society, Ser. B..

Jianqing Fan, Yang Feng, Rui Song (2011). Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models. Journal of the American Statistical Association.

MAQC Consortium (2010). The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.. Nature Biotechnoloy.

Jianqing Fan, Yang Feng, Yue Niu (2010). Nonparametric estimation of genewise variance for microarray data. The Annals of Statistics.

Jianqing Fan, Yang Feng, Yichao Wu (2010). High-dimensional variable selection for Cox's proportional hazards model. IMS Collections, Borrowing Strength: Theory Powering Applications - A Festschrift for Lawrence D. Brown.

Yang Feng (2010). High-dimensional Statistical Learning and Nonparametric Modeling.

J. Fan, Y. Feng, Y. Wu (2009). Network exploration via the adaptive LASSO and SCAD penalties. The Annals of Applied Statistics.

PDF DOI Supplement

Jianqing Fan, Yichao Wu, Yang Feng (2009). Local quasi-likelihood with a parametric guide. The Annals of Statistics.

Jianqing Fan, Yang Feng (2009). Discussion on 'Nonparametric Prediction in Measurement Error Models' by Carroll, Delaigle, and Hall. Journal of the American Statistical Association.

Y. Feng, W. Ma, Z. Wang, Z. Ying, Y. Yang (2009). Alignment of protein mass spectrometry data by integrated Markov chain shifting method. Statistics and Its Interface.