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姓名 :
李昇暾
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職稱 :
特聘教授 Distinguished Professor
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所屬實驗室 :
金融科技與人工智慧實驗室
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系所名稱 :
工業與資訊管理研究所
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個人資料網頁 :
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學術成大 :
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洽談合作信箱 :
關於
核心技術專長領域
- 人工智慧技術
- 區塊鏈技術及大數據據分析
- 雲端運算
- 資料探勘
- 機器學習、行動支付
FinTech研究領域專長
- Deposit & Lending
- Investment Management
- 數位金融或網銀相關
- 智能投資理財
- 商用決策系統
Domain Knowledge領域專長
- 人工智慧 Artificial intelligence
- 企業智慧 Business intelligence
- 雲端智慧 Cloud intelligence
- 大數據分析
研究領域
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
近期計畫
- 發表期刊論文:“Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise,” Neurocomputing, 439→預期可針對金融業存在雜訊的相關資料集,運用此模型做進一步研究。
- 發表期刊論文:“Firm capability assessment via the BSC and DEA,” Industrial Management & Data Systems, 121(3)→針對金融相關行業,可運用此模型協助高階管理人員做出適當的資源分配決策。
- 發表研討會論文:“Vault Cash Forecasting in Bank Branches with Deep Learning,” 2021 金融科技、監理法遵與綠色金融之國際趨勢與展望論壇→可應用於金融業之庫存現金之預測
- 科技部、2021/08/01~2022/07/31、處方式分析學於金融科技庫存現金運補規劃之研究
- 科技部、2020/08/01~2021/07/31、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
- 科技部、2019/06/01~2020/05/31、智能鞋墊虛實整合之創新服務營運模式
- 科技部、2019/08/01~2022/07/31、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
- 科技部、2019/08/01~2020/07/31、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
- 科技部、2018/08/01~2019/10/31、隱性主題模型於群眾募資預測之研究
人才培育成果
- 指導學生張幼銘碩士論文,並參加2021年第十四屆崇越論文大賞競賽獲得佳作論文獎。
近期開課
開課名稱:計算機程式及應用
開課系所:工資系
開課名稱:人工智慧
開課系所:工資所、資管所
開課名稱:人工智慧導論
開課系所:工資系
開課名稱:企業智慧與決策支援系統
開課系所:工資所、資管所
開課名稱:計算機概論
開課系所:工資系
開課名稱:資訊管理
開課系所:EMBA碩專
開課名稱:知識工程
開課系所:工資所、資管所
近五年著作
FinTech專書或專章出版
李昇暾、詹智安。2019。區塊鏈智能合約與DApp實務應用。碁峯資訊。台北。
期刊暨研討會學術發表:
- Sheu, M. J., Chin, T. W., Ku, F. P., Li, C. Y., Li, S. T., & Lu, T. H. (2022). Validation of coding algorithms for identifying people with viral hepatitis using claims data according to different standard references. BMC infectious diseases, 22(1), [222].
- Lee, P. C., Kao, F. Y., Liang, F. W., Lee, Y. C., Li, S. T., & Lu, T. H. (2021). Existing data sources in clinical epidemiology: The Taiwan national health insurance laboratory databases. Clinical Epidemiology, 13, 175-181.
- Lin, C., Ting, S. F., Lee, L., & Lin, S. T. (2021). Firm capability assessment via the BSC and DEA. Industrial Management and Data Systems, 121(3), 567-593.
- Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
- Firm capability assessment via the BSC and DEA
- Existing Data Sources in Clinical Epidemiology: The Taiwan National Health Insurance Laboratory Databases
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
產學成果
專利申請或技轉
永豐銀行合作,預計申請「智慧OOOO決策輔助系統」之專利
產學研究案
- 群創光電產學案,2021/07/01 - 2023/06/30
- 永豐銀行產學案,2021/07/01 - 2022/06/30
- 優貝克科技產學案,2021/03/01 - 2021/06/30
- 群創光電產學案,2020/02/01 - 2021/01/31
- 永豐銀行產學案,2020/02/01 - 2020/06/30
- 同宏鞋行產學案,2019/06/01 - 2020/05/31
(因保密協定限制,合作專案名稱不予揭露)
合作公司
公司名稱:永豐銀行
公司網站連結:https://bank.sinopac.com/sinopacBT/index.html
公司名稱:群創光電股份有限公司
公司網站連結:http://www.innolux.com/
公司名稱:同宏鞋行
公司網站連結:https://www.twincn.com/item.aspx?no=56971647
公司名稱:優貝克科技
公司網站連結:https://www.ulvac.com.tw/