管院國際認證資料蒐集系統

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
Email	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

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	Name	Degree	Title
2021	Wei-Hsiang Hung	Master	Ensemble Classification Using Multi-split Deep Rule Forests
2021	Chan Hsu	Master	Interpretable Representation Learning with Model-based Deep Rule Forest
2021	Wen-Chieh Hsu	Master	Loan Process Model based on Tree-based Hidden Semi-Markov Models
2021	Yen-Chun Ho	Master	Bactrocera Dorsalis Hendel Control and Analysis based on Mixed-effects Representation Learning
2020	Yu-Chan Shen	Master	Temporal Anomaly Detection using Probabilistic Process Models
2020	FANG-YI SU	Master	Human-guided Machine Learning by Enabling Expert-in-the-Loop
2020	Ting-Fang SU	Master	Embedding-based Rule Forests for Interpretable Extreme Multi-label Learning
2020	Chih-Ming Tsai	Master	Housing Price Evaluation based on Convolutional Neural Networks—A Case Study of Street View Image Analysis for Kaohsiung City.
2020	Hsiang-Ting Huang	Master	Severe Sepsis Prediction Using Mixed-effect Machine Learning Models
2020	Pei-Fen Wang	Master	Interpretable Process Modeling based on deep neural networks
2020	Hung-Yi Yu	Master	Silver Glue Printed Circuit Defect Detection based on Morphological Convolutional Neural Networks
2020	Hung-Chi Hsu	Master	Exploration of Multimodal Machine Learning Model - Findings from Real Estate Valuation
2020	Chang-Shun Yang	Master	Applying Text Mining to Explore Inter-firm Co-opetition Relationship – A Case Study of Offshore Wind Power Industry
2020	Chan-Tung Ku	Master	Topic Diffusion Discovery based on Online Deep Non-negative Variational Autoencoder
2020	Ming-Cheng Yan	Master	Topic Detection and Tracking for Information Security Attack – A Case Study of DDoS Attack.
2020	Yu-Jung Yen	Master	House Price Prediction based on Multimodal Learning －A Case Study of Kaohsiung City
2019	Shao-Min Hung	Master	Topic Evolution and Diffusion Discovery based on Online Deep Non-negative Autoencoder
2019	Hsun-Yueh Chang	Master	Food Ingredients Recognition via Interpretable Multi-label Learning with Auxiliary tasks
2018	mao wen jui	Master	Towards Interpretable Deep Extreme Multi-label Learning
2018	Kuo-Chung Huang	Master	Document Classification based on Deep Convolutional Recurrent Neural Networks
2018	Sheng-Tsai Lee	Master	Image Retrieval Based On Deep Convolutional Autoencoders
2018	Sheng-Tai Huang	Master	Interpretable Logic Representation Learning based on Deep Rule Forest
2018	Jin-Wei Tsau	Master	Drug-Disease Interaction Discovery based on Deep Rule Forests
2018	Pei-Yin Hung	Master	Renal Comorbidity Discovery based on Deep Multitasking Learning
2018	Tsai Mu-Hua	Master	Determinants of House Price : Using Interpretable Machine Learning Algorithms - A Case Study of Kaohsiung City
2018	Ming-Siang Chiu	Master	RECIPE-INGREDIENT RECOGNITION BASED ON DEEP MULTI-LABEL LEARNING
2017	Cheng-Jui Chang	Master	Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization
2017	Yung-Chieh Chou	Master	Automatic Term Explanation based on Topic-regularized Recurrent Neural Network
2017	Wan-Chen Yang	Master	Topic Evolution Discovery based on Regularized Matrix Factorization
2017	Feng-Hua Chan	Master	Machine Learning Application to Loan Default Comparison and Prediction - A case study in USA and China
2017	Bo-Wen Kuo	Master	Interpretable representation learning based on Deep Rule Forests
2017	Ya-Jie Huang	Master	Detection of Drug-Disease Interactions for Acute Kidney Injury using Deep Rule Forests
2016	Jia-Liang Guo	Master	Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models
2016	Che-wen Ku	Master	Topic Recommendation and Discovery based on Matrix Factorization

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