It is important to understand what you CAN DO before you learn to measure how WELL you seem to have DONE it. -- by John Tukey.
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高君豪 | Chiun-How Kao

淡江大學統計學系助理教授
Assistant Professor
Department of Statistics, Tamkang University

I am an assistant professor in the department of statistics at Tamkang University. My research interests include Data Visualization, Machine Learning, High Dimensional Data Analysis, Computer Graphics, Big Data and Symbolic Data Analysis.

Contact Information:

Email: [email protected]
Address: B1129, No.151, Yingzhuan Rd., Tamsui Dist., New Taipei City 251301, Taiwan
Tel: 02-2621-5656 ext.3514
Fax: 02-2620-9732

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Publications

Journal

1. Kwon, O. H., Kao, C. H., Chen, C. H., & Ma, K. L. (2022). A Deep Generative Model for Reordering Adjacency Matrices. IEEE Transactions on Visualization and Computer Graphics.
2. Chang, L. C., Hsu, Y. C., Chiu, H. M., Ueda, K., Wu, M. S., Kao, C. H.*, & Shen, T. L.* (2021). Exploration of the Proteomic Landscape of Small Extracellular Vesicles in Serum as Biomarkers for Early Detection of Colorectal Neoplasia. Frontiers in oncology, 11.
3. Yang. H. C., Chen, C. H., Wang, J. H., Liao, H. C., Yang, C. T., Chen, C. W., Lin, Y. C., Kao, C. H., Lu, M. Y.,& Liao, J. C. (2020). Analysis of genomic distributions of SARS-CoV-2 reveals a dominant strain type with strong allelic associations. Proceedings of the National Academy of Sciences, PNAS first published November 12, 2020; https://doi.org/10.1073/pnas.2007840117.
4. Kao, C. H., Hsieh, C. H., Chu, Y. F., Kuang, Y. T., and Yang, C. K. (2017). Using data visualization technique to detect sensitive information re-identification problem of real open dataset. Journal of Systems Architecture, 80, 85-91.
5. Kao, C. H., Nakano, J., Shieh, S. H., Tien, Y. J., Wu, H. M., Yang, C. K., and (Chen, C. H.*) (2014, Nov). Exploratory data analysis of interval-valued symbolic data with matrix visualization. Computational Statistics and Data Analysis, 79, 14-29.

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Softwares

GAP is a java-designed software for generalized association plots (Chen, 2002) and exploratory data analysis. It is programmed for the java runtime environment 1.4, which is available for most operating systems.
[Download Java version], [Online version]

iGAP is a java-designed software for interval generalized association plots and exploratory data analysis (Kao, 2014). It is programmed for the java runtime environment 1.8, which is available for most operating systems.
[Download Java version], [Online version]

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Students

趙芊茹

111學年 數據科學碩士班

王彥樺

111學年 數據科學碩士班

林書羽

112學年 數據科學碩士班

游佳蓉

112學年 數據科學碩士班

陳宇萱

112學年 數據科學碩士班


Graduated Students

林宜安

109學年 商管學院大數據分析與商業智慧碩士學程

柳琬萱

109學年 商管學院大數據分析與商業智慧碩士學程

廖肅天

109學年 商管學院大數據分析與商業智慧碩士學程

蕭立翎

110學年 數據科學碩士班

顏韻芠

110學年 數據科學碩士班

陳紹安

110學年 應用統計碩士班