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Name Kang, Yihuang
Title Associate Professor
Research Interests Statistical Machine Learning, Enterprise Data Management, Healthcare Data Analytics, Business Process Management, Complex Systems
Office 管(CM) 4057
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 2022 Chien, Shih-Yi; Chao, Shiau-Fang; Kang, Yihuang; Hsu, Chan; Yu, Meng-Hsuan; Ku, Chan-Tung (2022). Understanding Predictive Factors of Dementia for Older Adults: A Machine Learning Approach for Modeling Dementia Influencers. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 165(無), 102834. (SSCI)
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), .
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), .
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, .
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

建立公平、負責、與透明的智慧商務應用: 可解釋的多模態特徵學習. Ministry of Science and Techonology (109-2410-H-110-045-)

2019

建立公平、負責、與透明的智慧商務應用︰可解釋的極度多標籤特徵學習. 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
111 2 Required Department of Information Management MIS707 SEMINAR IN ADVANCED INFORMATION SYSTEMS (IV)
111 2 Required 資電碩專 MIS985 PRACTICAL BUSINESS ANALYTICS
111 2 Required Department of Information Management MIS705 SEMINAR IN ADVANCED INFORMATION SYSTEMS (II)
111 2 Required Department of Information Management MIS947 PRACTICAL BUSINESS ANALYTICS
111 2 Selected College of Management CM505 BUSINESS BIG DATA ANALYTICS CAPSTONE
111 2 Selected Department of Information Management MIS132 COMPUTER PROGRAMMING PRATICE
111 2 Required Department of Information Management MIS102 COMPUTER PROGRAMMING
111 2 Required Department of Information Management MIS324 BUSINESS PROCESS PROJECT I
111 1 Selected Department of Information Management MIS604C SEMINAR
111 1 Required Department of Information Management MIS424 BUSINESS PROCESS PROJECT II
111 1 Selected Department of Information Management MIS572 INTRODUCTION TO BIG DATA ANALYTICS
110 2 Required Department of Information Management MIS985 PRACTICAL BUSINESS ANALYTICS
110 2 Selected Department of Information Management MIS132 COMPUTER PROGRAMMING PRATICE
110 2 Required Department of Information Management MIS102 COMPUTER PROGRAMMING
110 2 Required Department of Information Management MIS947 PRACTICAL BUSINESS ANALYTICS
110 2 Required Department of Information Management MIS324 BUSINESS PROCESS PROJECT I
110 1 Required Department of Information Management MIS424 BUSINESS PROCESS PROJECT II
110 1 Selected Department of Information Management MIS604C SEMINAR
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
Year Name Degree Title
2022 Kun-Ying Chou Master Mixed-effects Machine Learning Models for Passenger Flow Prediction – An Example on Kaohsiung Mass Rapid Transit
2022 Zi-Yi Lee Master Evaluation of Carbon Footprint Hotspots using Process mining–A Case Study of Onion Production
2022 Hong-Ren Yen Master Discovering concept drift based on propensity score
2022 Yuan-Shih Wang Master Improving Upgrade Success Rate of Multi-level Marketing Distributors with Grey Feature Learning-An Example of D Company
2022 Yao-Wen Hsu Master Handling Class Imbalance Problems using Weighted Ensemble Models—A Case Study of Drug-Drug Interactions induced Acute Coronary Syndrome
2022 Yi-Chi Li Master Applying Machine Learning Algorithms to Process Completion Time Analysis
2022 Yen-Ya Chen Master Optimizing Inventory Replenishment Strategy in Resilient Supply Chains using Reinforcement Learning
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 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