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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
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 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
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
108 3 Selected Department of Information Management MIS962 SEMINAR(II)
108 2 Required Department of Information Management MIS102 COMPUTER PROGRAMMING
108 2 Selected Department of Information Management MIS132 COMPUTER PROGRAMMING PRATICE
108 2 Required Department of Information Management MIS324 BUSINESS PROCESS PROJECT I
108 2 Required Si Wan College GEAE2429 INTRODUCTION TO ARTIFICIAL INTELLIGENCE
108 2 Required Department of Information Management MIS985 PRACTICAL BUSINESS ANALYTICS
108 1 Selected Department of Information Management MIS604A SEMINAR
108 1 Required Department of Information Management MIS424 BUSINESS PROCESS PROJECT II
108 1 Selected College of Management CM503 BIG DATA ANALYTICS, MACHINE LEARNING, AND ARTIFICI
108 1 Selected Department of Information Management MIS572 INTRODUCTION TO BIG DATA ANALYTICS
108 1 Required Department of Information Management MIS961 SEMINAR IN MIS (I)
Year Name Degree Title
2021 洪瑋襄 Master Ensemble Classification Using Multi-split Deep Rule Forests
2020 沈育嬋 Master Temporal Anomaly Detection using Probabilistic Process Models
2020 蘇芳沂 Master Human-guided Machine Learning by Enabling Expert-in-the-Loop
2020 蘇亭方 Master Embedding-based Rule Forests for Interpretable Extreme Multi-label Learning
2020 蔡志明 Master Housing Price Evaluation based on Convolutional Neural Networks—A Case Study of Street View Image Analysis for Kaohsiung City.
2020 黃湘婷 Master Severe Sepsis Prediction Using Mixed-effect Machine Learning Models
2020 王珮芬 Master Interpretable Process Modeling based on deep neural networks
2020 游宏毅 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 HungShao-Min Master Topic Evolution and Diffusion Discovery based on Online Deep Non-negative Autoencoder
2019 ChangHsun-Yueh 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 LeeSheng-Tsai Master Image Retrieval Based On Deep Convolutional Autoencoders
2018 TsauJin-Wei Master Drug-Disease Interaction Discovery based on Deep Rule Forests
2018 HuangKuo-Chung Master Document Classification based on Deep Convolutional Recurrent Neural Networks
2018 HungPei-Yin 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 ChiuMing-Siang Master RECIPE-INGREDIENT RECOGNITION BASED ON DEEP MULTI-LABEL LEARNING ​
2018 HuangSheng-Tai Master Interpretable Logic Representation Learning based on Deep Rule Forest
2017 Yung-Chieh Chou Master Automatic Term Explanation based on Topic-regularized Recurrent Neural Network
2017 Cheng-Jui Chang Master Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization
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