鄭宇翔

研究領域

高維度資料分析、維度縮減及變數選取、財務統計方法

任教科目

微積分、財務計量應用、數量財務與統計學習、研究方法

學歷

國立政治大學統計學博士

經歷

• 中央研究院統計所博士後研究(2015.09.01-2018.07.31)
• 政治大學統計學系博士後研究(2014.08.01-2015.07.31)

論文著作

研究成果

A. 期刊論文

1. Yu-Hsiang Cheng, Jui-Kun Chiang, Yen-Chang Lin, Hsueh-Hsin Kao and Yee-Hsin Kao, Impacts of an Oral Appliance on Snoring in Adults with Varying Degrees of Snoring Severity: A Preliminary Study, Medicina (Lithuania), Vol. 61, 897-905, 2025. (Yu-Hsiang Cheng及Jui-Kun Chiang具有相同貢獻)
2. Yu-Hsiang Cheng and Tzee-Ming Huang, A Modified Likelihood-based Approach for Semi-supervised Learning for Normal Mixture data with Multiple Components Per Class. Journal of the Chinese Statistical Association, Vol. 58, 70-92, 2020.
3. Yu-Hsiang Cheng, Tzee-Ming Huang and Su-Yun Huang, Tensor Decomposition and Dimension Reduction. WIREs Computational Statistics, Vol. 12, e1482, 2020.
4. Yu-Hsiang Cheng and Tzee-Ming Huang*. A conditional independence test for dependent data based on maximal conditional correlation. Journal of Multivariate Analysis, Vol.107, 210-226, 2012. (SCI)
5. Jui-Kun Chiang, Yu-Hsiang Cheng, Malcolm Koo, Yee-Hsin Kao* and Ching-Yu Chen. A computer-assisted model for predicting probability of dying within 7 days of hospice admission in patients with terminal cancer. Japanese Journal of Clinical Oncology, Vol.40, No.5, 449-455, 2010. (SCI)
6. 江瑞坤、鄭宇翔、陳欣欣、陳淑娟、蔡坤維*.雲嘉老人跌倒之研究.台灣老年醫學雜誌, Vol.1, 174-181, 2006.

B. 研討會論文

1. 鄭宇翔及黃柏凱, 地緣政治風險、經濟政策不確定性與股票報酬： 來自臺灣半導體製造公司的證據. 2024世新大學財務金融學術研討會, 2024.
2. 鄭宇翔, 具時間落差下的線上投資組合問題. 2023 世新大學財務金融與管理國際研討會, 2023.
3. 鄭宇翔, 黃柏凱, 蕭慧萍及高漫薰, 股價趨勢是會重複出現嗎?以台股實證分析. 2023世新大學財務金融學術研討會, 2023.
4. 鄭宇翔, 黃柏凱及趙苓鈺. 不同降維方法對機器學習模型預測能力之影響: 以股價資料為例. 2021世新大學金融市場學術研討會, 2021.
5. 鄭宇翔及黃子銘, 非線性因果關係檢定. 2021海峽兩岸機率與統計學術研討會, 2021.
6. Yu-Hsiang Cheng, A data imputation method for user-item matrices for recommender systems, 2019 9th International Conference on Economics, Trade and Development (ICETD 2019).
7. Yu-Hsiang Cheng, Tzee-Ming Huang and Su-Yun Huang. An variable screening approach for linear regression. 2018 ICSA China Conference, 2018.
8. Yu-Hsiang Cheng, Rung-Sheng Lu, Matthew M. Lin, Su-Yun Huang and Weichung Wang. NMF based on SVD/iSVD for noise reduction. ISI-ISM-ISSAS Joint Conference, Takyo, 2017. Poster publication.
9. Yu-Hsiang Cheng, Tzee-Ming Huang and Su-Yun Huang. An approach for variable selection in linear regression. 第26屆南區統計研討會, 2017.
10. Yu-Hsiang Cheng, Su-Yun Huang, Matthew M. Lin, Rung-Sheng Lu and Weichung Wang. Fast NMF algorithm based on random projections. The 10th ICSA International Conference, 上海交通大學, 2016.
11. Yu-Hsiang Cheng and Su-Yun Huang. On symmetric nonnegative matrix factorization with application to genome data analysis. 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, 2016.
12. Yu-Hsiang Cheng and Tzee-Ming Huang. Reference curve selection in a class of misaligned curves. 第25屆南區統計研討會, 2016.

C. 專書及譯著：暫無資料。

研究計畫

科技部補助研究計畫

1. 具馬可夫結構下的混和多元羅吉斯迴歸, 110/09/01 – 111/08/31

榮譽

1.榮獲113學年度「教師教學卓越獎勵─教學績優獎」

2.榮獲111學年度「績優輔導老師─優良獎」

3.榮獲111學年度「熱心付出教師獎」

4.榮獲110學年度「教學卓越教師-新進教師教學績優獎」

5.107學年度特色研究計畫案：高維度推薦系統，金額：50,000元，執行期間：107.10.15~108.06.30