王紹宣 中央大學 統計研究所

王紹宣 副教授 老師姓名 王紹宣（Shao-Hsuan Wang）
職　　稱 副教授
單　　位 國立中央大學 統計研究所
辦 公 室 M508 室
聯絡電話 (03)422-7151#65450
傳　　真 (03)425-8602
電子郵件 picowang@gmail.com
ncu65450@cc.ncu.edu.tw

個人網站 https://picowang.mystrikingly.com/
研究領域
  • 高維度資料分析
  • 降維方法
  • 存活分析
  • 低溫電顯研究
Employment
  • 2020–Now, Associate Professor, Graduate Institute of Statistics, National Central University, Taiwan
  • 2019–2020, Adjunct Assistant Professor, Department of Mathematical Sciences, National Chengchi University, Taiwan
  • 2017–2020, Postdoctoral Fellow, Institute of Statistical Science, Academia Sinica, Taiwan (Supervisor: I-Ping Tu; Co-supervisors: Yi-Ching Yao, Su-Yun Huang)
  • 2016–2017, Postdoctoral Fellow, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, USA (Supervisor: Chiung-Yu Huang)
  • 2008–2011, Research Assistant, Institute of Statistical Science, Academia Sinica, Taiwan (Supervisor: Yi-Ching Yao)
  • 2004–2005, Trainee Teacher, Taipei Municipal Lishan Senior High School, Taiwan
Education
  • 2011–2016, Ph.D., Department of Mathematics, National Taiwan University, Taiwan.
    Dissertation Advisor: Chin-Tsang Chiang.
    Thesis: Optimal Sufficient Dimension Reduction Score for Survival Data with/without Censoring
  • 2005–2007, M.S., Department of Mathematics, National Taiwan University, Taiwan.
    Thesis Advisor: Chin-Tsang Chiang.
    Thesis: Random Weighting and Edgeworth Expansion for the Nonparametric Time-Dependent AUC Estimator
  • 2000–2004, B.S., Department of Mathematics, National Taiwan University, Taiwan
Research Interests & Skills
  • High-dimensional data analysis
  • Dimension reduction
  • Survival analysis
  • Deep learning & Explainable AI
  • Cryo-EM image analysis
  • Matlab, R, Python
  • Statistics & Mathematics education
Honors & Awards
  • 2020, Champion of AS Poster Competition, Taiwan
  • 2019, Champion of Workshop on High Dimensional Statistical Analysis, ISS Academia Sinica
  • 2016, Wen-Chen Chen Statistics Scholarship Fund
  • 2016, Ching-Zong Wei Statistics Ph.D. Dissertation Award
Professional & Academic Activities
  • 2025 Invited Talk, ICSA China Conference, Zhuhai
  • 2025 Contributed Talk, International Conference on Econometrics and Statistics, Japan
  • 2025 Conference on Stochastic Processes and Their Applications, Poland (online)
  • 2024 IMS Asia (IMSA), Australia
  • 2024 ENAR Spring Meeting, USA
  • 2023 ICSA Applied Statistics Symposium, USA
  • 2017–2019 Multiple invited & contributed talks (Taiwan, USA, Japan, UK)

Peer-Reviewed Publications
  1. 林祥曆、王紹宣*、黃世豪、陳素雲 (2025). Kronecker 包絡主成分的高維度分析介紹. Journal of the Chinese Statistical Association, 63(4), 395–421.
  2. Shao-Hsuan Wang, Ray Bai, Hsin-Hsiung Huang (2025). Two-step mixed-type multivariate Bayesian sparse variable selection with shrinkage priors. Electronic Journal of Statistics, 19(1), 397–457.
  3. Rung-Sheng Lu, Shao-Hsuan Wang*, Su-Yun Huang (2024). A geometric algorithm for contrastive PCA in high dimension. Journal of Computational and Graphical Statistics, 33(3), 909–916.
  4. Shao-Hsuan Wang* & Su-Yun Huang (2022). Perturbation theory for cross data matrix-based PCA. Journal of Multivariate Analysis, 104960.
  5. Shao-Hsuan Wang et al. (2021). Quantification of model bias underlying the phenomenon of Einstein from noise. Statistica Sinica, 31, 1–25.
  6. Shao-Hsuan Wang & Chin-Tsang Chiang (2019). Concordance-based estimation for optimal sufficient dimension reduction. Scandinavian Journal of Statistics.
  7. Yi-Ching Yao, Shih-Chieh Chen, Shao-Hsuan Wang (2014). Compatibility of discrete full conditional distributions. Journal of Multivariate Analysis, 124, 1–9.
  8. Chin-Tsang Chiang, Shao-Hsuan Wang, Hung Hung (2009). Random weighting and Edgeworth expansion. Statistica Sinica, 19, 969–979.