• 姓名 :


  • 職稱 :

    特聘教授 Distinguished Professor

  • 所屬實驗室 :


  • 系所名稱 :


  • 個人資料網頁 :


  • 學術成大 :


  • 洽談合作信箱 :



Artificial Intelligence and Decision Support Systems

  • ABC intelligence: Artificial intelligence, business intelligence and cloud intelligence
  • Decision analytics: big data analtics
  • Machine learning: deep learning, data mining, text mining
  • Knowledge engineering: neural networks, fuzzy computing, evolutionary computing, knowldege-based systems

Java cloud computing


  • 單調性極限學習機模型於單類別分類之研究

MOST 109-2410-H-006-044, 2020/08/01-2021/07/31

  • 深度強化學習法於金融科技時間序列預測之研究

MOST 108-2410-H-006-106-MY3, 2019/08/01 ~ 2022/07/31

  • 深度單類別文本分類法於偵測藥物不良反應之研究

MOST 108-2410-H-006-107, 2019/08/01 ~ 2020/07/31

















  1. Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
  2. Firm capability assessment via the BSC and DEA
  3. Existing Data Sources in Clinical Epidemiology: The Taiwan National Health Insurance Laboratory Databases
  4. Sheu, M.-J., Liang, F.-W., Li, S.-T., Li, C.-Y., Lu, T.-H., Validity of ICD-10-CM Codes Used to Identify Patients with Chronic Hepatitis B and C Virus Infection in Administrative Claims Data from the Taiwan National Health Insurance Outpatient Claims Dataset, Clinical Epidemiology (SCI), Vol. 12, 185-192, 2020.
  5. González, S., García, S., Li, S.-T., John, R. & Herrera, F., Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise, accepted by Neurocomputing (SCI), Dec. 2019.
  6. Chuang, H.-C., Chen, C.-C., Li, S.-T.*, Incorporating monotonic domain knowledge in support vector learning for data mining regression problems, accepted by Neural Computing and Applications (SCI), Dec. 2019.
  7. Li, S.-T.*, Pham, T. T., Chuang, H.-C., Do reviewers’ words affect predicting their helpfulness ratings? Locating helpful reviewers by linguistics styles, Information & Management (SSCI), Vol. 56, No. 1, pp. 28-38, Jan. 2019.
  8. González, S., García, S., Li, S.-T., & Herrera, F., Chain based Sampling for Monotonic Imbalanced Classification, Information Sciences (SCI), Vol. 474, pp. 187-204, Feb. 2019.
  9. C. Chou and S.-T. Li, Hybridizing MCDM with Resource-based View toward Resource Planning in Mobile Telecommunications (in Chinese), Sun Yat-Sen Management Review (TSSCI), Vol. 26, No. 2, pp. 239 – 275, June 2018.
  10. Lu, T.-H., Li, S.-T., Liang, F.-W., Lee, J.-C., and Yin, W.-H., When high-volume PCI operators in high-volume hospitals move to lower volume hospitals—Do they still maintain high volume and quality of outcomes? Catheterization and Cardiovascular Interventions (SCI), Vol. 92, No. 4, pp. 644-650, Oct. 2018.
  11. Lu, T.-H., Li, S.-T., and Yin, W.-H., Graphical Representations of Mortality Data with Confidence Intervals, Circulation: Cardiovascular Quality and Outcomes (SCI), Vol. 10, No. 3, Mar. 2017.
  12. Li, S.-T.*, Pham, T. T., Chuang, H.-C., and Wang, C.-W., Does Reliable Information Matter? Toward a Trustworthy Co-Creating Recommendation System by Mining Unboxing Reviews, Information Systems and e-Business Management (SSCI), Vol. 14, No. 1, pp. 71-99, 2016.
  13. Han, P. H., Li, S.-T., Hsu, M. H., & Lu, T. H. “An Analysis of the Current Status and Utilization of Government Health and Welfare Open Data in Taiwan,” (in Chinese) Taiwan Journal of Public Health (TSSCI), Vol. 35, No. 4, pp. 395-405, 2016.