Wang, C. and Liang, Y.-T.(2024). Uncovering Health Insights: Using Clustering Analysis to Identify Digital Biomarkers from Wearable Device Data. The Interim Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS Interim Conference 2024), Taipei, Taiwan, 13-14 December 2024. Invited Talk.
Wang, C. (2022). Bayesian Clustering Method for Large-Scale Text Data and Its Application. The 6th Eastern Asia Chapter of the International Society for Bayesian Analysis (EAC-ISBA) conference, Taichung, Taiwan, July 8-9, 2022. Invited talk.
Wang, C. (2019). Genetic Factors Selection for Association Study with Imbalanced Case-Control Samples. The 11th ICSA International Conference, Hangzhou, China, 20-22 December 2019. CWS Special Invited Session. Invited talk.
Yeh, C.-Y. and Wang, C. (2019). Develop a Risk Prediction Model for Depression based on Text/Documents Mining Techniques. 32nd Edition of the European Meeting of Statisticians, Palermo, Italy, 22-26 July 2019.
Lin, W.-H. and Wang, C. (2019). Build Imbalanced Classifier via Kernel Trick and Evaluate Its Effect. 32nd Edition of the European Meeting of Statisticians, Palermo, Italy, 22-26 July 2019.
Lee, M.-H., Lin, S.-C., Peng, J.-F. and Wang, C. (2019). Utilize Clustering and Text Mining in Biomedical Literatures on Taiwan National Health Insurance Research Database. 40th Annual Conference of the International Society for Clinical Biostatistics, Leuven, Belgium, 14-18 July 2019. Poster.
Wang, C. (2019). Use Bayesian Conditional Logistic Regression to Build up Localized Medical- Meteorological Index. 3rd International Conference on Econometrics and Statistics, Taichung, Taiwan, 25-27 June 2019. Oral presentation.
Lin, S.-C. and Wang, C. (2018). Teaching Data Analysis and Programming Based on a Cooperative Learning Approach. International Conference on Education of Data Science Hikone, 2018 (HDS2018), Hikone, Japan, 14-15 November 2018.
Wang, C. (2018). Dis/Similarity-Based Tests for Case-Control Association Study with Rare Variants. 2018 Statistics Week Taiwan-ISI Young Statisticians Regional Workshop, Taipei, Taiwan, 5-9 November 2018. Invited talk.
Lee, M.-H., Wang, C., Peng, J.-F. and Lin, S.-C. (2017). Utilize Text Mining Techniques to Explore Trends of Biomedical Publications Based on Taiwan National Health Insurance Research Database. 2017 International Conference on Applied Sciences, Hokkaido, Japan, 19-21 January 2017. Poster.
Wang, C., Tzeng, J.-Y. and Hsiao, C. K. (2016). A Rediscovery of Dis-similarity Measure with U-statistic for Rare Variant Association. ISI-ISM-ISSAS Joint Conference 2016, Taipei, Taiwan, 31 January-2 February 2016. Oral presentation and Poster.
Wang, C. (2015). SNP-set detection and association test with Hamming distance information. 2015 Japanese Joint Statistical Meeting, Okayama, Japan, 6-9 September 2015. Wakimoto Memorial Session. Invited talk.
Wang, C., Chu, Y.-T., Chang, Y.-c. I. and Lai, M.-S. (2015). Application of Sequential Methods for Analyzing Big Data from Health Cloud. Statistical Computing Asia 2015, Taipei, Taiwan, 1-2 July 2015. Invited talk.
Lin, S.-C., Wang, C., and Chen, C.-J. (2014). Feature Selection and Classification Algorithm for High Dimensional Imbalanced Data and Its Application. The 2014 International Conference on Machine Learning and Data Analysis, Tokyo, Japan, 29-30 May 2014.
Wang, C. and Hsiao, C. K. (2012). SNP-set Association Test with Hamming Distance. The 11th World Meeting of the International Society for Bayesian Analysis, Kyoto, Japan, 25-29 June 2012. Poster.
Wang, C. and Chang, Y.-c. I. (2008). The Sequentially Determine the Optimal Case-control Ratio for Estimating the Classification Accuracy of a Biomarker. The 29th Annual Conference of the International Society for Clinical Biostatistics, Copenhagen, Denmark, 17-21 August 2008. Oral presentation.
Wang, C. (2021). Weighting Learning Strategies for Imbalanced Classification. 2021 統計學門研究成果發表會, 南投, 臺灣, 28-29 January 2021. Oral presentation.
王彥雯、張靜芸、陳正芬 (2020). 長期照顧機構營運時間長短之影響因素探索. 2020 台灣統計方法學學會年會員大會暨學術研討會, 臺北市, 臺灣, 05 December 2020. Invited talk.
王彥雯、葉俊怡 (2019). 利用文字探勘技術建立憂鬱症風險預測模型. 第二十八屆南區統計研 討會暨 2019 中華機率統計學會年會及學術研討會, 臺中市, 臺灣, 21-22 June 2019. Invited talk.
Wang, C. and Chang, Z.-B. (2018). An AUC-based Boosting Algorithm for Binary Class Active Learning. 第十一屆海峽兩岸機率與統計學術研討會, 新北市, 臺灣, 31 May-2 June 2018. Invited talk.
Wang, C. and Chang, Y.-c. I. (2016). Active Learning with Sequential Sampling and Dimension Reduction for Analyzing Large-Scale Datasets. 105 年統計學術研討會暨政治大學統計學系 五十週年學術研討會, 臺北市, 臺灣, 9-10 December 2016. Invited talk.
Wang, C. (2015). SNP-set detection and association test with Hamming distance information. 第二十四屆南區統計研討會暨 2015 中華機率統計學會年會及學術研討會, 彰化, 臺灣, 27-28 June 2015. 魏慶榮統計論文獎.
Wang, C., Chu, Y.-T., Chang, Y.-c. I. and Lai, M.-S. (2015). Application of Sequential Methods for Analyzing Big Data from Health Cloud. Toward Big Data Analysis Workshop, 高雄市, 臺灣, 5-6 June 2015. Invited talk.
Wang, C., Kao, W.-H. and Hsiao, C. K. (2014). Using Hamming Distance as Information to Cluster SNP Sets and Test for Association Studies. 第二十三屆南區統計研討會暨 2014 中 華機率統計學會年會及學術研討會, 花蓮, 臺灣, 27-28 June 2014. Oral presentation.
Wang, C. and Chang, Y.-c. I. (2008). Sequentially Determine the Optimal Case-Control Ratio in Two Classes Problem. 第十七屆南區統計研討會, 花蓮, 臺灣, 27-28 June 2008. Oral presentation.