# Yuwen Gu

### Yuwen Gu

215 Glenbrook Rd. U-4120

Storrs, CT 06269-4120

Email: *yuwen dot gu at uconn dot edu*

## About Me

I am an assistant professor in the Department of Statistics at the University of Connecticut. I received my PhD degree in statistics from the University of Minnesota and BS degree from the University of Science and Technology of China (USTC).

I work on unconventional regression in high dimensional data analysis. Specifically, I deal with a class of penalized regressions in which the loss functions are not smooth to certain degrees. One particular model I used to study is the sparse asymmetric least squares and my current work is on the sparse quantile and composite quantile regression.

## Honors and Awards

- Bernard Lindgren Graduate Student Teaching Award, University of Minnesota, 2016
- School of Statistics Alumni Fellowship, University of Minnesota, 2013
- Guo Moruo Scholarship, USTC, 2010,
*Summa Cum Laude* - Outstanding Undergraduate Research Project, USTC, 2010

## Publications and Manuscripts

Li, W., Gu, Y. and Liu, L. (2017). Demystifying multiply robust estimators. Under revision.

Gu, Y. and Zou, H. (2017+). Aggregated expectile regression by exponential weighting. To appear in *Statistica Sinica*.

Gu, Y.*, Jun, F.*, Kong, L., Ma, S. and Zou, H. (2017+). ADMM for high-dimensional sparse penalized quantile regression. To appear in *Technometrics*.

Gu, Y. and Zou, H. (2016). High-dimensional generalizations of asymmetric least squares regression and their applications. *The Annals of Statistics*. 44(6), 2661-2694.

Vélez, A., Linehan-Skillings, B. J., Gu, Y., Sun, Y. and Bee, M. (2013). Pulse-number discrimination by Cope’s gray treefrog (*Hyla chrysoscelis*) in modulated and unmodulated noise. *The Journal of the Acoustical Society of America*. 134 (4).

*: indicates joint first authorship

## Software

- R package
**SALES**: Adaptive Lasso and elastic net penalized sparse asymmetric least squares (SALES) and coupled sparse asymmetric least squares (COSALES) regression via coordinate descent and proximal gradient algorithms (available on CRAN) - R package
**FHDQR**: Adaptive lasso and elastic net penalized quantile regression via fast alternating direction method of multipliers algorithms (available here)

## Teaching

### University of Connecticut

- STAT/BIST 6494-05 Statistical Learning and Optimization

### University of Minnesota

A list of courses I have taught as the primary instructor:

- STAT 4101 Theory of Statistics I
- STAT 5401 Applied Multivariate Methods
- STAT 3011 Introduction to Statistical Analysis
- STAT 5021 Statistical Analysis

A list of courses I have taught as a teaching assistant:

- STAT 5601 Nonparametric Methods (Instructor: Dr. Snigdhansu Chatterjee)
- STAT 3022 Data Analysis
- STAT 4102 Theory of Statistics II