Name | Kang, Yihuang |
---|---|
Title | Assistant Professor |
Research Interests | Statistical Machine Learning, Enterprise Data Management, Healthcare Data Analytics, Business Process Management, Complex Systems |
Office | 管(CM) 4083 |
Phone | 4737 |
ykang@mis.nsysu.edu.tw |
Education | 2014, Ph.D., Information Sciences, University of Pittsburgh 2007, Master, Information Sciences, University of Pittsburgh 2003, Bachelor, Information Management, National Yunlin University of Science and Technology |
---|---|
Experience | 2019-08-01 ~ , Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Jointly Appointed Assistant Professor 2017-01-01 ~ 2019-01-01, Digital Education Institute, Institute for Information Industry, Lecturer 2014-01-01 ~ 2015-01-01, University of Pittsburgh School of Public Health, Senior Data Analyst 2009-01-01 ~ 2014-01-01, University of Pittsburgh School of Medicine, Senior Programmer |
Category | Year | Title |
---|---|---|
Journal Article | 2021 | Y. Kang, ST Huang, PH Wu (2021). Detection of Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests. Springer-Nature Computer Science (Accepted), 2021. (其他期刊) |
Journal Article | 2018 | SM Altawalbeh, CT Thorpe, JC Zgibor, S Kane-Gill, Y Kang, JM Thorpe (2018). Economic Burden Associated with Receiving Inhaled Corticosteroids with Leukotriene Receptor Antagonists or Long-Acting Beta Agonists as Combination Therapy in Older Adults. Journal of Managed Care & Specialty Pharmacy, 24(5), 478-486. (SCIE) |
Journal Article | 2018 | Thorpe, CT; Thorpe, JM; Jiang, T; Atkinson, D; Kang, YH; Schleiden, LJ; Carpenter, DM; McGregor, JAG; Hogan, SL (2018). Healthcare utilization and expenditures for United States Medicare beneficiaries with systemic vasculitis. Seminars in Arthritis and Rheumatism, 47(4), 507-519. (SCIE) |
Journal Article | 2016 | ZA. Marcum, S. Perera, J.M. Thorpe, GE. Switzer, NG. Castle, ES. Strotmeyer, EM. Simonsick, HN. Ayonayon, CL. Phillips, S. Rubin, AR. Zucker-Levin, DC. Bauer, RI. Shorr, Y. Kang, SL. Gray, JT. Hanlon, Health ABC Study (2016). Antidepressant Use and Recurrent Falls in Community-Dwelling Older Adults: Findings From the Health ABC Study. Annals of Pharmacotherapy, 50(7), 525-533. (SCIE) |
Journal Article | 2016 | SM Altawalbeh, CT Thorpe, JC Zgibor, S Kane‐Gill, Y Kang, JM Thorpe (2016). Antileukotriene Agents Versus Long‐Acting Beta‐Agonists in Older Adults with Persistent Asthma: A Comparison of Add‐On Therapies. Journal of the American Geriatrics Society, 64(64), 1592-1600. (SCIE) |
Journal Article | 2016 | C. T Thorpe, NR. Fowler, K. Harrigan, X. Zhao, Y. Kang, JT. Hanlon, W. F Gellad, L. J. Schleiden, J. M Thorpe (2016). Racial and Ethnic Differences in Initiation and Discontinuation of Antidementia Drugs by Medicare Beneficiaries. Journal of The American Geriatrics Society, 64(9), 1806–1814. (SCIE) |
Journal Article | 2016 | Y. Kang, V. Zadorozhny (2016). Process Monitoring using Maximum Sequence Divergence. Knowledge and Information Systems (KAIS), 48(1), 81-109. (SCIE) |
Journal Article | 2016 | Degenholtz, HB; Park, M; Kang, Y; Nadash, P (2016). Variations Among Medicare Beneficiaries Living in Different Settings: Demographics, Health Status, and Service Use. RESEARCH ON AGING, 38(5), 602-616. (SSCI) |
Conference Paper | 2020 | B. Kuo, Y. Kang, P. Wu, S.-T. Huang, Y. Huang (2020). Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests. 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IEEE Workshop on AI for HealthCare), United States. |
Conference Paper | 2020 | ST. Huang, Y. Kang, S.M. Hung, B. Kuo, and IL. Cheng (2020). Topic Diffusion Discovery based on Deep Non-negative Autoencoder. 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), United States. |
Conference Paper | 2020 | B. Kuo, Y. Kang, P. Wu, S.-T. Huang, Y. Huang (2020). Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests. 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IEEE Workshop on AI for HealthCare), 美國. |
Conference Paper | 2020 | ST. Huang, Y. Kang, S.M. Hung, B. Kuo, and IL. Cheng (2020). Topic Diffusion Discovery based on Deep Non-negative Autoencoder. 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), 美國. |
Conference Paper | 2019 | Y. Kang, I. Cheng, W. Mao, B. Kuo, and P. Lee (2019). Towards Interpretable Deep Extreme Multi-Label Learning. 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI), United States. |
Conference Paper | 2019 | P.-J. Lee, Y.-H. Lee, Y. Kang, and C.-P. Chao (2019). A Medical Decision Support System Using Text Mining to Compare Electronic Medical Records. 21st International Conference onHuman-Computer Interaction, United States. |
Conference Paper | 2019 | K. Lin, Y. Kang, W. Chao (2019). A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems. 2019 20th IEEE International Conference on Mobile Data Management (MDM), Hong Kong. |
Conference Paper | 2018 | Y. Kang, KP Lin, IL Cheng (2018). Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization. IEEE 19th International Conference on Information Reuse and Integration for Data Science, United States. |
Conference Paper | 2017 | HC. Huang, SY. Hwang, S. Chang, Y. Kang (2017). Forecasting Company Revenue Trend Using Financial News. PACIS 2017 Proc., Malaysia. |
Conference Paper | 2016 | Y. Kang, V. Zadorozhny (2016). Process Discovery using Classification Tree Hidden Semi-Markov Model, . 2016 IEEE International Conference on Information Reuse and Integration (IRI-DIM), 2016, pp. 361–368, Pittsburgh, PA, 2016 , United States. |
Conference Paper | 2016 | IL Cheng, SW Chew, Y. Kang, W. Chang, NS Chen (2016). Exploring the Difference in Brain Activities under Three Distinct Tasks: Listening to Music, Gaming, and Learning. 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), United States. |
Year | Title |
---|---|
2022 | 使用者帳號行為異常偵測模型. 日月光半導體製造股份有限公司 (1) |
2021 | 具備動態資源配置之MLOps平台系統開發專案. 聯華電子股份有限公司 (1) |
2021 | 以專家迴路加速機器學習-以精準用藥為例. Ministry of Science and Techonology (110-2410-H-110-009-) |
2020 | Towards Fair, Accountable, and Transparent Intelligent Applications: Learning Explainable Multimodal Representation. Ministry of Science and Techonology (109-2410-H-110-045-) |
2019 | Towards Fair, Accountable, and Transparent Intelligent Applications: Learning Explainable Multimodal Representation. MOST (108-2410-H-110-065-) |
2019 | 「消費客群影像辨識模型開發與設計」軟體建置專案. 協同數位股份有限公司 (N108073) |
2018 | 資料整合分析平台. 聯華電子股份有限公司 (N107198) |
2018 | Towards Fair, Accountable, and Transparent Intelligent Applications: Using Deep Rule Forests. MOST (107-2410-H-110-031-) |
2017 | Emerging Topic Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. MOST (106-2410-H-110-014-) |
2017 | 以穿戴式裝置提升醫療照護效率之老人生理健康資訊系統. MOST (106-2813-C-110-025-H) |
2016 | Using Distributed Rule-integrated Tree Probabilistic Process Model–Process Discovery from Big Data. MOST (105-2410-H-110-021-) |
2016 | 以影像辨識技術管理食材並結合食安與健康之推薦食譜應用系統. MOST (105-2815-C-110-068-H) |
2015 | 基於樹狀概率模型的流程發現-以醫療保健資料為例. MOST (104-2410-H-110-090-) |
2015 | 開源單晶片控制器結合—網路控制硬體之研究—以智慧家居為例. MOST (104-2815-C-110-033-H) |
Year | Semester | Required / Selected | Department | Course Code | Course |
---|---|---|---|---|---|
110 | 2 | Required | Department of Information Management | MIS102 | COMPUTER PROGRAMMING |
110 | 2 | Selected | Department of Information Management | MIS132 | COMPUTER PROGRAMMING PRATICE |
110 | 2 | Required | Department of Information Management | MIS324 | BUSINESS PROCESS PROJECT I |
110 | 2 | Required | Department of Information Management | MIS947 | PRACTICAL BUSINESS ANALYTICS |
110 | 2 | Required | Department of Information Management | MIS985 | PRACTICAL BUSINESS ANALYTICS |
110 | 1 | Selected | Department of Information Management | MIS604C | SEMINAR |
110 | 1 | Required | Department of Information Management | MIS424 | BUSINESS PROCESS PROJECT II |
110 | 1 | Selected | College of Management | CM503 | BIG DATA ANALYTICS, MACHINE LEARNING, AND ARTIFICI |
110 | 1 | Selected | Department of Information Management | MIS572 | INTRODUCTION TO BIG DATA ANALYTICS |
109 | 2 | Required | Department of Information Management | MIS985 | PRACTICAL BUSINESS ANALYTICS |
109 | 2 | Required | Department of Information Management | MIS102 | COMPUTER PROGRAMMING |
109 | 2 | Selected | Department of Information Management | MIS132 | COMPUTER PROGRAMMING PRATICE |
109 | 2 | Required | Department of Information Management | MIS947 | PRACTICAL BUSINESS ANALYTICS |
109 | 2 | Required | Department of Information Management | MIS324 | BUSINESS PROCESS PROJECT I |
109 | 1 | Required | Department of Information Management | MIS424 | BUSINESS PROCESS PROJECT II |
109 | 1 | Selected | Department of Information Management | MIS572 | INTRODUCTION TO BIG DATA ANALYTICS |
109 | 1 | Required | Department of Information Management | MIS993 | SEMINAR IN BUSINESS ANALYTICS |
109 | 1 | Selected | Department of Information Management | MIS604C | SEMINAR |
109 | 1 | Selected | College of Management | CM503 | BIG DATA ANALYTICS, MACHINE LEARNING, AND ARTIFICI |
Year | Title | Awarding Organization |
---|---|---|
2020 | Outstanding Alumni Award, National Yunlin University of Science and Technology | National Yunlin University of Science and Technology |
2016 | Sun Yat-sen New Scholar Award | National Sun Yat-sen University |
2014 | Recognition of Service Excellence | University of Pittsburgh School of Medicine |
Period | Activity | Description | Role |
---|