Welcome to my homepage !

Name: Yang Li

 

Education:

2012--2016 B.S. in Statistics, Taiyuan University of Technology

2016- 2021 Ph.D. in Statistics,  University of Science and Technology of China

 

Research Interests

High-dimensional statistical inference, variable selection, classification and the related big data problems

 

Honors & Awards

National Scholarship (Ph.D. level), USTC, 2020

Scholarship for USTC-Suzhou Industrial Park, USTC, 2019

Second Prize of the Third National Academic Forum for Ph.D. candidates in Statistics, 2018

National Scholarship (master level), USTC, 2018

Academic Scholarship for undergraduates, TYUT, 2015

Academic Scholarship for undergraduates, TYUT, 2013

 

Accepted papers

1. Balanced estimation for high-dimensional measurement error models, Computational Statistics & Data Analysis, 2018.

2. Sequential scaled sparse factor regression, Journal of Business & Economic Statistics, 2020.

3. Partitioned approach for high-dimensional confidence intervals with large split sizes, Statistica Sinica, 2020.

4. Uniform joint screening for ultra-high dimensional graphical models, Journal of Multivariate Analysis, 2020.

5. Scalable interpretable learning for multi-response error-in-variables regression, Journal of Multivariate Analysis, 2020.

6. A Unifiied theory of confidence intervals for high-dimensional precision matrix, Journal of University of Chinese Academy of Sciences, 2021.

7. High-dimensional statistical inference via DATE. Communications in Statistics-Theory and Methods, 2021.

8. Scalable inference for high-dimensional precision matrix. Communications in Statistics-Theory and Methods, 2021.

 

 

Manuscripts

1. Large-scale inference via the adaptive projection estimator. Manuscript.

2. L_0-regularized learning for high-dimensional additive hazards regression. Manuscript.

3. Reproducible Learning in Large-Scale Graphical Models. Manuscript.

4. Scalable and Efficient Inference via CPE. Manuscript.

5. L_0-regularized learning for high-dimensional measurement error models. Manuscript.

 

Teaching Experience


Sep 2017 – Present

Teaching Assistant, Department of Statistics and Finance
University of Science and Technology of China, Hefei, Anhui


Courses (teaching Discussions):
Probability Theory and Mathematics Statistics (Fall 2017, Fall 2018)
Mathematical Equations (Spring 2018)
Analysis of Time Series (Spring 2019, Spring 2020)
Linear Statistical Model (Fall 2019, Fall 2020)