Wei-Yin Loh's Students

Current PhD Students

  1. Siyu Wang

PhD Graduates and last known employment

  1. Nunta Vanichsetakul (1986). Tree-structured classification via recursive discriminant analysis. Kasetsart University, Thailand. Retired.
  2. Min-Ching Huang (1989). Piecewise-linear tree-structured regression. National Cheng Kung University, Taiwan. Retired.
  3. Honggie Kim (1989). Contributions to correspondence analysis and contingency table analysis. Chungnam National University, Republic of Korea.
  4. Hanfeng Chen (1990). Efficiency of Box-Cox procedures. Bowling Green State University, USA.
  5. Hongshik Ahn (1992). Survival modeling through regression trees. Stony Brook University, USA.
  6. Wen-Da Lo (1993). Logistic regression trees. National Chung Cheng University, Taiwan, Republic of China. Retired
  7. Yu-Shan Shih (1993). Tree-structured classification. National Chung Cheng University, Taiwan, Republic of China.
  8. Ching-Ching Yang (1993). Tree-structured Poisson regression. Feng Chia University, Taiwan, Republic of China.
  9. Edmund Kademan (1993). Piecewise linear regression through random partitioning. PHZ Capital Partners, USA.
  10. Fang Dong (1993). Robust estimation of location via embedding. SK Life Science, Inc., USA.
  11. Peng Qu (1994). Application of Box-Cox transformations to discrimination for the two-class problem. Pfizer, China. Retired.
  12. Ruji Yao (1994). Regression trees. Merck, USA.
  13. Xujie Yu (1994). Analysis of contingency tables. Celgene Corp., USA.
  14. Xiaodong Zheng (1994). Bootstrap theory and methods. CitiMortgage, USA.
  15. Chongqing Yan (1995). Regression trees and nonlinear time series modeling. Pfizer, USA.
  16. David M. Potter (1998). Logistic regression trees. Pfizer, USA.
  17. Hyunjoong Kim (1998). Multiway split classification trees. Yonsei University, Republic of Korea.
  18. Kwanho Cho (1998). Box-Cox transformations. Institute for Defense Analysis, Republic of Korea.
  19. Kin Yee Chan (2000). Logistic regression trees. Allstate, USA.
  20. Chunyang Gai (2000). Pruning methods for classification trees.
  21. Yunfei Chen (2000). Efficient clustering algorithms via multivariate techiniques and mixture models. Eli Lilly and Co., USA.
  22. Hyungjun Cho (2002). Tree-structured regression modeling for censored data. Korea University, Republic of Korea.
  23. Qinghua Song (2005). Contributions to classification and regression trees. Kite Pharma, USA.
  24. Youngjae Chang (2008). Robustifying regression and classification trees in the presence of irrelevant variables. Korea National Open University, Republic of Korea.
  25. Chien-Wei Chen (2008). Enhancing the prediction accuracy of regression trees: linear splits and variable selection. Novartis, USA.
  26. Wei Zheng (2009). Quantile regression trees, statistical applications of CUDA programming, and identification of active effects without sparsity assumption. Comprehend Information Technology Ltd, China.
  27. Zhuang Wu (2011). Regression tree algorithms for longitudinal and censored survival data. Sunshine Insurance, China.
  28. Xu He (2012). Identification of subgroups with large differential treatment effects in genome-wide association studies. Chinese Academy of Sciences, Beijing, China.
  29. Wenwen Zhang (2014). PLUTO: penalized unbiased logistic regression trees. Takeda Pharmaceuticals, USA.
  30. Haoyang Fan (2015). A boosting approach to high dimensional linear mixed model. Aurora Innovation, Inc., USA.
  31. Yuanzhi Li (2017). Contributions to classification and regression trees. Bloomberg, USA.
  32. Luxi Cao (2019). CounTree: regression tree for count data. The Trade Desk, USA.
  33. Peigen Zhou (2020). Application of regression tree method to subgroup identification and variable importance. Canal, Inc., USA.

Undergraduate Research Scholars (URS)

  1. Christopher Raffaele Scotto Divetta (2003)
  2. Zhuangfei Chen (2003-04)
  3. Shiming Feng (2004-05)

Last modified: August 19, 2023 by Wei-Yin Loh