Publications

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. arXiv preprint arXiv:2101.02113.

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

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

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Emre Demirkaya, Yang Feng, Pallavi Basu, Jinchi Lv (2021). Large-Scale Model Selection with Misspecification. Biometrika.

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

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Hersh Chandarana, Bari Dane, Artem Mikheev, Myles T Taffel, Yang Feng, Henry Rusinek (2020). Visceral adipose tissue in patients with COVID-19: risk stratification for severity. Abdominal Radiology.

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

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

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

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Yang Feng, Qingfeng Liu (2020). Nested Model Averaging on Solution Path for High-dimensional Linear Regression. Stat.

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Yang Feng, Min Zhou, Xin Tong (2020). Imbalanced classification: an objective-oriented review.

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Margaret A Black, Guomiao Shen, Xiaojun Feng, Wilfredo Garcia Beltran, Yang Feng, Varshini Vasudevaraja, Douglas Allison, Lawrence H Lin, Tatyana Gindin, Michael Astudillo, others (2020). Analytical performance of lateral flow immunoassay for SARS-CoV-2 exposure screening on venous and capillary blood samples. Journal of Immunological Methods.

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

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

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

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

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

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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.

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Mingao Yuan, Ruiqi Liu, Yang Feng, Zuofeng Shang (2018). Testing Community Structures for Hypergraphs. arXiv preprint arXiv:1810.04617.

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

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Kashif Yousuf, Yang Feng (2018). Partial Distance Correlation Screening for High Dimensional Time Series. arXiv preprint arXiv:1802.09116.

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

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

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

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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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Mingao Yuan, Yang Feng, Zuofeng Shang (2018). A likelihood-ratio type test for stochastic block models with bounded degrees. arXiv preprint arXiv:1807.04426.

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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.

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

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

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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.

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D. Saldana, Y. Yu, Y. Feng (2017). How Many Communities Are There?. Journal of Computational and Graphical Statistics.

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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.

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

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

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

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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.

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Haolei Weng, Yang Feng (2016). Community detection with nodal information. arXiv preprint arXiv:1610.09735.

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

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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.

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

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

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

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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..

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

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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.

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

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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.

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

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

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

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

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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.

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