國立高雄科技大學風險管理與保險系所助理教授(現職)
政治大學統計學系助理教授
中央研究院生物醫學研究所 BioIT Core 中心顧問
美國愛荷華大學統計與精算學系訪問學者
中央研究院生物醫學研究所訪問學者
和信治癌中心醫院醫學研究部助理研究員
中國統計學社終身會員

專長領域

1. Order Restricted Inference,
2. Survival Analysis
3.  Variable Selection and High-dimensional Data Analysis
4. Clustering/Classification
5. Data Mining
6. Microarray Data Analysis
7. Proteomic Spectra Data Analysis
8. Bioinformatics

優良事蹟

研究計畫

1. Constrained Statistical Inference of Survival Functions under Censoring/Truncation.

2. Constrained Statistical Inference of Contingency Table Under Odds Ratio Constraints.

3. Constrained Statistical Inference of Contingency Table Under U-shaped Odds Constraints.

4. On James-Stein Estimator for Feature Selection.

5. (LASSO typed) Penalized SVM

6. On Clustering Approach for High Dimensional Data Analysis.

7. Fuzzy-measure based Meta-Analysis of classification methods.

8. Kernel-type Segmentation Based Feature Selection Method.

9. On Fuzzy-measure based meta-analysis of classification methods

10. On Big Data analysis and machine learning

11. 自 2013 年開始和韓國首爾大學統計系Johan Lim 教授合作進行的研究，研究主題如下:

(a) Analysis of mass spectral data of mixtures of compounds.

(b) Ordered restricted inference on interval censored data.

(c) Rank regression.

(d) Ranked-set sampling and judgment post-stratification with non-informative ranker.

12. 健保資料庫的大數據分析

2. Yuneung Kim, Won Son, Johan Lim, Hsun-Chih Kuo (2017). A General Algorithm for Nonparametric Maximum Likelihood Estimator of Stochastically Ordered Survival Functions from Case 2 Interval Censored Data, Communications in Statistics - Simulation and Computation (Accepted).

3. Hsun-Chih Kuo and Yu-Jau Lin* (2017). The Optimal Estimation of Fuzziness Parameter in Fuzzy C-Means Algorithm, Lecture Notes in Computer Science, vol. LNAI 10313, 566-575. 

4. Hsun-Chih Kuo* and Sheng-Tzung Yeh (2015). Segmentation Based Feature Selection on Classifying Proteomic Spectral Data, Lecture Notes in Computer Science, vol. LNAI 9120, 112-119.

5. Hsun-Chih Kuo, Miin-Shen Yang, Jenn-Hwai Yang, Yen-Chi Chen (2014). SCM-Driven Tree View for Microarray Data, Lecture Notes in Computer Science, vol. LNAI 8468, 207-215

6. Miin-Shen Yang, Shou-Jen Chang-Chien, Hsun-Chih Kuo (2014). On Mean Shift Clustering for Directional Data on a Hypersphere, Lecture Notes in Computer Science, vol. LNAI 8468, 809-818

7. Yi-Ting Hwang, Hsun-Chih Kuo, Chun-Chao Wang, and Meng Feng Lee (2014). Estimating the Number of True Null Hypotheses in Multiple Hypothesis Testing, Statistics and Computing, 24 (3), 399-416.

8. Yi-Ting Hwang, Yu-Hui Su, Hsun-Chih Kuo, Harn-Jing Terng (2013). Evaluation of Normalization Methods for the High Density Oligonucleotide Array, Journal of the Chinese Statistical Association, 51:3 (3), 373-402.

9. Jung A Um, ..., Young Bae Seo, Hsun-Chih Kuo, Johan Lim, ..., Jeongmi Lee (2013). Discrimination Between Genetically Identical Peony Roots From Different Regions of Origin Based on H-nuclear Magnetic Resonance Spectroscopy-based Metabolomics: Determination of the Geographical Origins and Estimation of the Mixing Proportions of Blended Samples, Analytical and

Bioanalytical Chemistry, 405 (23), 7523–7534.

10. Hsiang-Chuan Liu, Hsun-Chih Kuo, and Hsien-Chang Tsai (2013). A Fast Algorithm for Finding Ideal Response Pattern vectors of any Test Q-Matrix, Journal of Convergence Information Technology, 8 (4), 920-928.

11. Yu-Ting Cheng, Hsiang-Chuan Liu, and Hsun-Chih Kuo＊ (2013). An Improved Choquet Integral Composition Forecasting Model Based on H-measure and O-density, Advanced Science Letters, 19 (11), 3324-3327.

12. Hsun-Chih Kuo (2013). Constrained Maximum Likelihood Estimation of Cell Probabilities under Local Odds Ratio Constraints, Advanced Science Letters, 19 (9), 2778-2781.

13. Tai-I Ting, Wan-Ting Wei, Chih-Ming Chiang, Hsun-Chih Kuo (2011). Applying Data Mining Approach to Explore Characteristics of Customers’ Publications Purchasing, Journal of Data Analysis, 6:6, 147-158

14. Hsun-Chih Kuo*, Jen-Tse Hunag, Huey-miin Hsueh (2011). On Feature Selection of High Dimensional Data - Application on Classifying Proteomic Spectra Data, Journal of DataAnalysis, 6:3, 67-80

＊ Corresponding Author

Decision Making, Taipei, Taiwan.

3. Hsun-Chih Kuo (2012). Variable Selection via James-Stein Thresholding Estimator with Application to Proteomics Data, 2012 JSS-KSS-CSA International Session, Sapporo, Japan.

4. Yi-Ting Hwang , Wan-Lin Yeh, Hsun-Chih Kuo. (2011). The Performance of Unadjusted and Adjusted Medical Cost Estimators - an Application in Colorectal Cancer, Int. Statistical Inst.: Proc. 58th World Statistical Congress, 2011, Dublin (Session CPS044).

5. Hsun-chih Kuo (2010). Maximum Likelihood Estimate of Cell Probabilities of a Contingency Table Under Odds Ratio Constraints, 2010 Annual Meeting of Chinese Statistical Society and International Statistical Conference, Taiwan.

6. Yi-Ting Hwang, Shu-Yu Liao, Hsun-Chih Kuo (2009). Estimating the number of true null hypotheses in multiple hypothesis testing, ASA Proceedings of the Joint Statistical Meetings, 2009: 3830-3841. American Statistical Association.

7. Hsun-chih Kuo (2008). Segmentation Approach for Feature Selection on Classifying Proteomic Spectra Data, 2008 Workshop on "Pattern Formation and Functional Morphology", Linz, Austria