Yihuang Kang

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 25

Top Topics

Machine Learning

Diabetes Mellitus

Decision Support

Negative Matrix Factorization

Top Venues

Publications

Chan Hsu, Chan-Tung Ku, Yuwen Wang, Minchen Hsieh, Jun-Ting Wu, Yunhsiang Hsieh, PoFeng Chang, Yimin Lu, Yihuang Kang
A Teacher-Student Knowledge Distillation Framework for Enhanced Detection of Anomalous User Activity. IRI (2023)
Chan Hsu, Wei-Chun Huang, Jun-Ting Wu, Chih-Yuan Li, Yihuang Kang
Toward Transparent Sequence Models with Model-Based Tree Markov Model. CoRR (2023)
Chan Hsu, Wei-Chun Huang, Jun-Ting Wu, Chih-Yuan Li, Yihuang Kang
Toward Transparent Sequence Models with Model-Based Tree Markov Model. MIPR (2023)
Chan Hsu, Ching-Chih Tsao, Yu-Liang Weng, Cheng-Yi Tang, Yu-Wen Chang, Yihuang Kang, Shih-Yi Chien
A Machine Learning Approach to Model HRI Research Trends in 2010~2021. HRI (2022)
Shih Yi Chien, Shiau-Fang Chao, Yihuang Kang, Chan Hsu, Meng-Hsuan Yu, Chan-Tung Ku
Understanding Predictive Factors of Dementia for Older Adults: A Machine Learning Approach for Modeling Dementia Influencers. Int. J. Hum. Comput. Stud. 165 (2022)
Yihuang Kang, Sheng-Tai Huang, Pinghsung Wu
Detection of Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests. SN Comput. Sci. 2 (4) (2021)
Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-Yi Su, Sheng-Tai Huang
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning. CoRR (2021)
Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-Yi Su, Sheng-Tai Huang
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning. IRI (2021)
Ming-Yen Lin, Jia-Sin Liu, Tzu-Yang Huang, Ping-Hsun Wu, Yi-Wen Chiu, Yihuang Kang, Chih-Cheng Hsu, Shang-Jyh Hwang, Hsing Paul Luh
Data Analysis of the Risks of Type 2 Diabetes Mellitus Complications before Death Using a Data-Driven Modelling Approach: Methodologies and Challenges in Prolonged Diseases. Inf. 12 (8) (2021)
Bowen Kuo, Yihuang Kang, Pinghsung Wu, Sheng-Tai Huang, Yajie Huang
Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests. CoRR (2020)
Bowen Kuo, Yihuang Kang, Pinghsung Wu, Sheng-Tai Huang, Yajie Huang
Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests. IRI (2020)
Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung, Bowen Kuo, I-Ling Cheng
Topic Diffusion Discovery Based on Deep Non-negative Autoencoder. CoRR (2020)
Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung, Bowen Kuo, I-Ling Cheng
Topic Diffusion Discovery based on Deep Non-negative Autoencoder. IRI (2020)
Pei-Ju Lee, Yen-Hsien Lee, Yihuang Kang, Ching-Ping Chao
A Medical Decision Support System Using Text Mining to Compare Electronic Medical Records. HCI (24) (2019)
Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee
Towards Interpretable Deep Extreme Multi-label Learning. CoRR (2019)
Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee
Towards Interpretable Deep Extreme Multi-Label Learning. IRI (2019)
Keng-Pei Lin, Yihuang Kang, William S. Chao
A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems. MDM (2019)
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization. CoRR (2018)
Yihuang Kang, Vladimir Zadorozhny
Process Discovery using Classification Tree Hidden Semi-Markov Model. CoRR (2018)
Yihuang Kang, Vladimir Zadorozhny
Process Monitoring Using Maximum Sequence Divergence. CoRR (2018)
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. IRI (2018)
Shih-Yi Chien, Sharon I-Han Hsiao, Yihuang Kang
Understanding Students' Intentions in Learning Visual Robotic Programming: An Integration of IS Success Model, Utilitarian Value and Hedonic Value. PACIS (2018)
Hsin-Ching Huang, San-Yih Hwang, Shanlin Chang, Yihuang Kang
Forecasting Company Revenue Trend Using Financial News. PACIS (2017)
Yihuang Kang, Vladimir Zadorozhny
Process monitoring using maximum sequence divergence. Knowl. Inf. Syst. 48 (1) (2016)
Yihuang Kang, Vladimir Zadorozhny
Process Discovery Using Classification Tree Hidden Semi-Markov Model. IRI (2016)