Ziwei Zhu, Xudong Li, Mengdi Wang, Anru Zhang.
Learning Markov models via low-rank optimization.
Operations Research, to appear.
Jianqing Fan, Cong Ma, Kaizheng Wang, Ziwei Zhu* (2021).
Modern data modeling: Cross-fertilization of the two cultures.
Observational Studies, 7, 65-76.
Jianqing Fan, Weichen Wang, Ziwei Zhu* (2021).
A shrinkage principle for heavy-tailed data: high-dimensional robust low-rank matrix recovery.
The Annals of Statistics, 49, 1239-1266.
Jianqing Fan, Kaizheng Wang, Yiqiao Zhong, Ziwei Zhu* (2021).
Robust high dimensional factor models with applications to statistical machine learning.
Statistical Science, 36, 303-327.
Ziwei Zhu, Wenjing Zhou (2021). Taming heavy-tailed features by shrinkage.
International Conference on Artificial Intelligence and Statistics (AISTATS).
Jianqing Fan, Dong Wang, Kaizheng Wang, Ziwei Zhu* (2019).
Distributed estimation of principal eigenspaces.
The Annals of Statistics, 47, 3009-3031.
Jianqing Fan, Wenyan Gong, Ziwei Zhu* (2019).
Generalized high-dimensional trace regression with nuclear norm regularization.
Journal of Econometrics, 212, 177-202.
Jianqing Fan, Han Liu, Weichen Wang, Ziwei Zhu* (2018).
Heterogeneity adjustment with applications to graphical model inference.
Electronic Journal of Statistics, 12, 3908-3952.
Jianqing Fan, Qiang Sun, Wenxin Zhou, Ziwei Zhu* (2018).
Principal component analysis for big data.
Wiley StatsRef: Statistics Reference Online.
Heather Battey, Jianqing Fan, Han Liu, Junwei Lu, Ziwei Zhu* (2018).
Distributed testing and estimation under sparse high dimensional models.
The Annals of Statistics, 46, 1352-1382.
*: Alphabetical authorship