I am a Reader in the Department of Statistics, University of Warwick and a Turing Fellow at the Alan Turing Institute, previously an Associate Professor in the University of Warwick, a Lecturer in the University of Bristol, a postdoc of Professor Richard Samworth and a graduate student of Professor Zhiliang Ying. I obtained my academic degrees from Fudan University (B.Sc. in Mathematics, June 2009 and Ph.D. in Mathematical Statistics, June 2013).
I am an Associate Editor of Biometrika (2019-), an Associate Editor of Bernoulli (2022-) and an editorial board reviewer of Journal of Machine Learning Research (2020-).
My research is partially funded by DMS-EPSRC EP/V013432/1 and EPSRC EP/W003716/1.
Two new approaches for the visualisation of models for network meta-analysis. (2019) BMC Medical Research Methodology, to appear. [pdf]
Martin Law, Navid Alam, Areti Angeliki Veroniki, Y. and Dan Jackson
Link prediction for inter-disciplinary collaboration via co-authorship network. (2018) Social Network Analysis and Mining, 8, 25. [pdf]
Haeran Cho and Y.
The restricted consistency property of leave-nv-out cross-validation for high-dimensional variable selection . (2019) Statistica Sinica, 29, 1607--1630 [pdf, R codes]
Yang Feng and Y.
Estimating whole brain dynamics using spectral clustering. (2017) Journal of Royal Statistical Society, Series C, 66, 607--627. [pdf]
Ivor Cribben and Y.
How many communities are there? (2017) Journal of Computational and Graphical Statistics, 26, 171--181. [pdf]
Diego Franco Saldana, Y. and Yang Feng
A useful variant of the Davis--Kahan theorem for statisticians. (2015) Biometrika, 102, 315--323. [pdf]
Y., Tengyao Wang and Richard J. Samworth
Modified cross-validation for penalized high-dimensional linear regression models. (2014) Journal of Computational and Graphical Statistics, 23, 1009--1027. [pdf, R codes]
Y. and Yang Feng
Apple: Approximate Path for Penalized Likelihood Estimators (2013). Statistics and Computing, 24, 803--819 [pdf]
Y. and Yang Feng
Oracle inequalities for the Lasso in the Cox model (2013). The Annals of Statistics, 41, 1142--1165. [pdf]
Jian Huang, Tingni Sun, Zhiliang Ying, Y. and Cun-Hui Zhang
Discussion of “Should we sample a time series more frequently? Decision support via multirate spectrum estimation” by Nason, Powell, Elliott and Smith. (2017) Journal of the Royal Statistical Society, Series A. 180, 384--385[pdf]
Y. and Ivor Cribben
Invited discussion of Large covariance estimation by thresholding principal orthogonal complements by Fan et al (2013). Journal of Royal Statistical Society, Series B, 75, 656--658. [pdf]
Y. and Richard J. Samworth
High-dimensional variable selection in the Cox model. (2010) [pdf]
GMPro: Graph Matching with Degree Profiles (2020). Available from cran.
NCPD, an R package for network change point detection using spectral clustering (2015). [source file, manual]
fcd, an R package for fused community detection (2013). Available from cran.
APPLE, an R package for Approximate Path for Penalized Likelihood Estimators (2012). Available from cran.
Contributions to high-dimensional variable selection. Fudan University, June 2013.