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SHAO HSUAN
WANG (王紹宣)
Assistant Professor at the NCU, Taiwan
ABOUT
Shao-Hsuan (Pico) Wang is an assistant professor at the Graduate Institute of Statistics of National Central University (NCU). His recent research focuses on developing theoretical statistics that can weaken the required conditions of asymptotic theory in high-dimensional data analysis and statistical methods for high-dimensional problems (including dimension reduction and variable selection). He is also interested in semi-parametric methods, statistical imaging (especially in cryo-EM data), and statistical learning. He won Wen-Chen Chen Statistics Scholarship Fund (Taiwan) in 2016 and Ching-Zong Wei Statistics Ph. D. Dissertation Award (Taiwan) in 2016. his software skills are R, Matlab, and python.
His Motto is ''Helping others is the source of happiness; with great power, comes great responsibility."

Education
National Taiwan University
mathematics
Experience
Johns Hopkins
The Sidney Kimmel Comprehensive Cancer Center
Experience
Academia Sinica
Institute of Statistical Science
Experience
National Central University
Graduate Institute of Statistics
Employment

2019-2020 Adjunct assistant professor, Department of Mathematical Sciences at the National Chengchi University, Taiwan
2017-2020 Post-doctoral Fellow, Institute of Statistical Science with the main supervisor: Dr. I-Ping Tu; co-supervisors: Dr. Yi-Ching Yao and Dr. Su-Yun Huang at the Academia Sinica, Taiwan
2016-2017 Post-doctoral Fellow, the Sidney Kimmel Comprehensive Cancer Center with supervisor: Dr. Chiung-Yu Huang at the Johns Hopkins University, USA
2008-2011 Research assistant, Institute of Statistical Science with supervisor: Dr. Yi-Ching Yao at the Academia Sinica, Taiwan
2004-2005 Trainee teacher, Taipei Municipal Lishan Senior High School, Taiwan
Education
2011-2016 Ph.D., Department of Mathematics at the National Taiwan University (Taiwan). Dissertation advisor: Dr. Chin-Tsang Chiang. PhD thesis: Optimal Sufficient Dimension Reduction Score for Survival Data with/without Censoring
2005-2007 M.S., Department of Mathematics at the National Taiwan University (Taiwan). Thesis advisor: Dr. Chin-Tsang Chiang. MS thesis: Random Weighting and Edgeworth Expansion for the Nonparametric Time-Dependent AUC Estimator
2000-2004 B.S., Department of Mathematics at the National Taiwan University (Taiwan)
FEATURES
My research interests and software
skills
Mathematics
Machine Learning
Statistical imaging
Clinical study
Matlab
R
Python
Education
Honors and Awards
2020 Champion of AS poster competition (Taiwan)
2019 Champion of Workshop on High Dimensional Statistical Analysis, ISS AS poster competition (Taiwan)
2016 Wen-Chen Chen Statistics Scholarship Fund (Taiwan)
2016 Ching-Zong Wei Statistics Ph. D. Dissertation Award (Taiwan)
Professional and Academic Activities
2023 Invited talk at Makoto Aoshima's symoposium, Japan
2023 Contributed talk at International Conference on Computational Statistics, UK
2023 Contributed talk at ICSA Applied Statistics Symposium 2023, USA
2023 Contributed talk at the International Conference on Econometrics and Statistics, Japan
2019 Invited talk at the Statistical Science Camp, Taipei, Taiwan
2019 Contributed talk at the Conference of Data Science, Statistics & Visualisation, Kyoto, Japan
2018 Invited talk at the High Dimensional Statistical Analysis Workshop, Taipei, Taiwan
2017 Invited talk (Wakimoto Memorial Session) at the Southern Taiwan Statistical Conference, Taipei, Taiwan
2017 Contributed talk at the 1st International Conference on Econometrics and Statistics, Hong Kong
2017 Attended the Joint Statistical Meetings, Baltimore, USA
2017 Attended at the ENAR Spring Meeting, Washington DC, USA
2017 Contributed talk at the 1st Conference on Lifetime Data Science, Connecticut, USA
2016 Invited talk at the Southern Taiwan Statistical Conference, Tainan, Taiwan
2015 Contributed talk at the 4th International Conference and Exhibition on Biometrics and Biostatistics, San Antonio, USA
2014 Invited talk at the Annual Meeting of the Taiwanese Mathematical Society, Tainan, Taiwan
2010 Contributed talk at the Southern Taiwan Statistical Conference, Tainan, Taiwan
Peer-Reviewed Publications

Rung-Sheng Lu, Shao-Hsuan Wang*, Su-Yun Huang (2023). A Geometric Algorithm for Contrastive Principal Component Analysis in High Dimension. Journal of Computational and Graphical Statistics. In print.
Shao-Hsuan Wang* and Su-Yun Huang (2022). Perturbation theory for cross data matrix-based PCA. Journal of Multivariate Analysis. 104960. [pdf]
Shao-Hsuan Wang, Ray Bai, Hsin-Hsiung Huang (2022). On the proof of posterior contraction for sparse generalized linear models with multivariate responses. arXiv
Szu-Chi Chung, Shao-Hsuan Wang, Cheng-Yu Hung, Wei-Hau Chang, and I-Ping Tu (2021). rAMI – Rapid Alignment with Moment of Inertia for Cryo-EM Image Processing. Microscopy and Microanalysis 27. [pdf]
Shao-Hsuan Wang, Yi-Ching Yao, Wei-Hau Chang, and I-Ping Tu (2021). Quantification of model bias underlying the phenomenon of Einstein from Noise. Statistica Sinica 31, 1-25. [pdf]
Szu-Chi Chung, Shao-Hsuan Wang, Po-Yao Niu, Su-Yun Huang, Wei-Hau Chang, and I-Ping Tu (2020). Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy. Annals of Mathematical Sciences and Applications. Vol. 5, No. 2, pp. 283-316. [pdf]
Shao-Hsuan Wang*, Su-Yun Huang, and Ting-Li Chen (2020). On asymptotic normality of cross data matrix-based PCA in high dimension low sample size. Journal of Multivariate Analysis. 175, 104556. [pdf]
Shao-Hsuan Wang and Chin-Tsang Chiang (2019). Concordance-based estimation approaches for the optimal sufficient dimension reduction score. Scandinavian Journal of Statistics. 1-28. [pdf]
Shao-Hsuan Wang and Chin-Tsang Chiang (2019). Maximum partial-rank correlation estimation for left-truncated and right-censored survival data. Statistica Sinica 29, 2141-2161. [pdf]
Chin-Tsang Chiang, Shao-Hsuan Wang, and Ming-Yueh Huang (2018). Versatile estimation in censored single-index hazards regression. Annals of the Institute of Statistical Mathematics. 1-29. [pdf]
Chin-Tsang Chiang, Ming-Yueh Huang, and Shao-Hsuan Wang (2016). Bias and variance reduction in non-parametric estimation of time-dependent accuracy measures. Statistics in Medicine. 35, 5247-5266. [pdf]
Yi-Ching Yao, Shih-Chieh Chen and Shao-Hsuan Wang (2014). On compatibility of discrete full conditional distributions: a graphical representation approach. Journal of Multivariate Analysis. 124, 1-9. [pdf]
I-Ping Tu, Shao-Hsuan Wang, and Yuan-Fu Huang (2013). Estimating the occurrence rate of DNA palindromes. Annals of Applied Statistics. 7, 1095-1110. [pdf]
Chin-Tsang Chiang, Shao-Hsuan Wang, and Hung Hung (2009). Random weighting and Edgeworth expansion for the nonparametric time-dependent AUC estimator. Statistica Sinica. 19, 969-979. [pdf]
Welcome to Cooperation
My email: picowang@gmail.com
LineID:warmsay
WechatID:pico1203
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SHAO HSUAN

WANG (王紹宣)

Assistant Professor at the NCU, Taiwan

ABOUT

Education

National Taiwan University

Experience

Johns Hopkins

The Sidney Kimmel Comprehensive Cancer Center

Experience

Academia Sinica

Experience

National Central University

Employment

Education

FEATURES

My research interests and softwareskills

Mathematics

Machine Learning

Statistical imaging

Clinical study

Matlab

R

Python

Education

Honors and Awards

Professional and Academic Activities

Welcome to Cooperation

My email: picowang@gmail.comLineID:warmsayWechatID:pico1203

My research interests and software
skills

My email: picowang@gmail.com
LineID:warmsay
WechatID:pico1203