Yihuang Kang

According to our database, Yihuang Kang authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Subgroup Analysis via Model-based Rule Forest.

I-Ling Cheng, Chan Hsu, Chan-Tung Ku, Pei-Ju Lee, Yihuang Kang

CoRR, 2024

Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation.

Chan Hsu, Jun-Ting Wu, Yihuang Kang

CoRR, 2024

Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models.

Chih-Yuan Li, Jun-Ting Wu, Chan Hsu, Ming-Yen Lin, Yihuang Kang

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

2023

Toward Transparent Sequence Models with Model-Based Tree Markov Model.

Chan Hsu, Wei-Chun Huang, Jun-Ting Wu, Chih-Yuan Li, Yihuang Kang

Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

A Teacher-Student Knowledge Distillation Framework for Enhanced Detection of Anomalous User Activity.

Chan Hsu, Chan-Tung Ku, Yuwen Wang, Minchen Hsieh, Jun-Ting Wu, Yunhsiang Hsieh, PoFeng Chang, Yimin Lu, Yihuang Kang

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

2022

Understanding Predictive Factors of Dementia for Older Adults: A Machine Learning Approach for Modeling Dementia Influencers.

Shih-Yi Chien, Shiau-Fang Chao, Yihuang Kang, Chan Hsu, Meng-Hsuan Yu, Chan-Tung Ku

Int. J. Hum. Comput. Stud., 2022

A Machine Learning Approach to Model HRI Research Trends in 2010~2021.

Chan Hsu, Ching-Chih Tsao, Yu-Liang Weng, Cheng-Yi Tang, Yu-Wen Chang, Yihuang Kang, Shih-Yi Chien

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021

Detection of Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests.

Yihuang Kang, Sheng-Tai Huang, Pinghsung Wu

SN Comput. Sci., 2021

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.

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

Inf., 2021

Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning.

Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-Yi Su, Sheng-Tai Huang

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

2020

Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests.

Bowen Kuo, Yihuang Kang, Pinghsung Wu, Sheng-Tai Huang, Yajie Huang

Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

Topic Diffusion Discovery based on Deep Non-negative Autoencoder.

Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung, Bowen Kuo, I-Ling Cheng

Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

2019

A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems.

Keng-Pei Lin, Yihuang Kang, William S. Chao

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

Towards Interpretable Deep Extreme Multi-Label Learning.

Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee

Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

A Medical Decision Support System Using Text Mining to Compare Electronic Medical Records.

Pei-Ju Lee, Yen-Hsien Lee, Yihuang Kang, Ching-Ping Chao

Proceedings of the HCI in Business, Government and Organizations. Information Systems and Analytics, 2019

2018

Understanding Students' Intentions in Learning Visual Robotic Programming: An Integration of IS Success Model, Utilitarian Value and Hedonic Value.

Shih-Yi Chien, Sharon I-Han Hsiao, Yihuang Kang

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization.

Yihuang Kang, Keng-Pei Lin, I-Ling Cheng

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

2017

Forecasting Company Revenue Trend Using Financial News.

Hsin-Ching Huang, San-Yih Hwang, Shanlin Chang, Yihuang Kang

Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017

2016

Process monitoring using maximum sequence divergence.

Yihuang Kang, Vladimir Zadorozhny

Knowl. Inf. Syst., 2016

Process Discovery Using Classification Tree Hidden Semi-Markov Model.

Yihuang Kang, Vladimir Zadorozhny

Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016