个人简历

Educational Background
Ph.D.| 2014.09—2019.07 | Peking Universtiy
►Major: Statistics
►Supervisor: Prof. Mingyao Ai
►Dissertation: Design of Medical Experiments and Subsampling Techniques for Big Data
B.S. & B.E. | 2010.09— 2014.07 | NanKai Universtiy
►First major: Mathematics and Applied Mathematics
►Second major: Finance
Working Experience
► 09/2019--Present, Assistant Professor, School of Mathematics and Statistics, Beijing Institute of Technology

近期论文

Publications
Refereed Journal Paper
[1] Jun Yu, Mingyao Ai, Yapin Wang. (2018) Optimal designs for linear models with Fredholm-type errors. Journal of Statistical Planning and Inference,194, 65-74
[2] Jun Yu, Xiangshun Kong, Mingyao Ai, Kwok Leung Tsuic. (2018) Optimal designs for dose-response models with linear effects of covariates. Computational Statistics & Data Analysis. 127, 217-228
[3] Mingyao Ai, Jun Yu, Huiming Zhang, Haiying Wang. (2019). Optimal Subsampling Algorithms for Big Data Regressions. Statistica Sinica, accepted on June 25, 2019.
[4] Ai, Mingyao; Huang, Yimin; Yu, Jun (2019). Data based priors for Bayesian model averaging. Festschrift in Honour of Professor Kai-Tai Fang’s 80th birthday.
[5] Ai, Mingyao; Huang, Yimin; Yu, Jun (2020). An Non-Parametric Solution to the Multi-Armed Bandit Problem with Covariates. Journal of Statistical Planning and Inference, accepted.
[6] Jun Yu, Haiying Wang, Mingyao Ai, Huiming Zhang. (2020). Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data. Journal of the American Statistical Association, Accepted
Working Papers
Mingyao Ai, Fei Wang, Jun Yu, Huiming Zhang. (2019). Optimal Subsampling for Large-scale Quantile Regression.