PhD, MS, Princeton University; BS, University of Science and Technology of China
Yingying Fan is Centennial Chair in Business Administration and Professor in Data Sciences and Operations Department at USC Marshall, Professor of Economics at USC, and an Associate Fellow of USC INET. She received her Ph.D. in Operations Research and Financial Engineering from Princeton University in 2007. She was Lecturer in the Department of Statistics at Harvard University (2007-2008). Her research interests include statistics, data science, machine learning, economics, big data and business applications, and artificial intelligence and blockchain. Her papers have been published in journals in statistics, economics, computer science, information theory, and biology.
Z. Zhu, Yingying Fan, Y. Kong, Jinchi Lv, F. Sun
() "DeepLINK: deep learning inference using knockoffs with applications to genomics ,"Proceedings of the National Academy of Sciences of the United States of America118, e2104683118.
J. Fan, Yingying Fan, X. Han, Jinchi Lv
() "SIMPLE: statistical inference on membership profiles in large networks ,"Journal of the Royal Statistical Society Series B, to appear.
L. Gao, Yingying Fan, Jinchi Lv, Q. Shao
() "Asymptotic distributions of high-dimensional distance correlation inference ,"The Annals of Statistics49, 1999-2020.
J. Fan, Yingying Fan, X. Han, Jinchi Lv
() "Asymptotic theory of eigenvectors for random matrices with diverging spikes ,"Journal of the American Statistical Association, to appear.
X. Bai, J. Ren, Yingying Fan, F. Sun
() "KIMI: knockoff inference for motif identification from molecular sequences with controlled false discovery rate ,"Bioinformatics37, 759-766.
X. Han, Xin Tong, Yingying Fan
() "Eigen selection in spectral clustering: a theory guided practice ,"Journal of the American Statistical Association, to appear.
D. Li, Y. Kong, Yingying Fan, Jinchi Lv
() "High-dimensional interaction detection with false sign rate control ,"Journal of Business & Economic Statistics, to appear.
Yingying Fan, E. Demirkaya, G. Li, Jinchi Lv
() "RANK: large-scale inference with graphical nonlinear knockoffs ,"Journal of the American Statistical Association115, 362-379.
H. Wu, Yingying Fan, Jinchi Lv
() "Statistical insights into deep neural network learning in subspace classification ,"Stat9, e273.
T. I. Cannings, Yingying Fan, R. J. Samworth
() "Classification with imperfect training labels ,"Biometrika107, 311-330.
Yingying Fan, Jinchi Lv, M. Sharifvaghefi, Y. Uematsu
() "IPAD: stable interpretable forecasting with knockoffs inference ,"Journal of the American Statistical Association115, 1822-1834.
C. Tang, Yingying Fan, Y. Kong
() "Precision matrix estimation by inverse principal orthogonal decomposition ,"Communications in Mathematical Research36, 68-92.
Yingying Fan, E. Demirkaya, Jinchi Lv
() "Nonuniformity of p-values can occur early in diverging dimensions ,"Journal of Machine Learning Research20, 1-33.
Y. Uematsu, Yingying Fan, K. Chen, Jinchi Lv, W. Lin
() "SOFAR: large-scale association network learning ,"IEEE Transactions on Information Theory65, 4924-4939.
Z. Ren, Y. Kang, Yingying Fan, Jinchi Lv
() "Tuning-free heterogeneous inference in massive networks ,"Journal of the American Statistical Association114, 1908-1925.
Y. Lu, Yingying Fan, Jinchi Lv, W. S. Noble
() "DeepPINK: reproducible feature selection in deep neural networks ,"Advances in Neural Information Processing Systems (NeurIPS 2018).
E. J. Candès, Yingying Fan, L. Janson, Jinchi Lv
() "Panning for gold: 'model-X' knockoffs for high dimensional controlled variable selection ,"Journal of the Royal Statistical Society Series B80, 551-577.
Joshua Derenski, Yingying Fan, Gareth James
() "Discussion of "Random-projection ensemble classification" ,"Journal of the Royal Statistical Society Series B79, 1009-1010.
Y. Kong, D. Li, Yingying Fan, Jinchi Lv
() "Interaction pursuit in high-dimensional multi-response regression via distance correlation ,"The Annals of Statistics45, 897-922.
Yingying Fan, Jinchi Lv
() "Innovated scalable efficient estimation in ultra-large Gaussian graphical models ,"The Annals of Statistics44, 2098-2126.