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: 157294@mail.tku.edu.tw
Address: B1129, No.151, Yingzhuan Rd., Tamsui Dist., New Taipei City 251301, Taiwan
Tel: 02-2621-5656 ext.3514
Fax: 02-2620-9732
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.
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]
Students
林宜安
大數據碩二
柳琬萱
大數據碩二
廖肅天
大數據碩二
蕭立翎
數科碩一
顏韻芠
數科碩一
陳紹安
應統碩一