Process Discovery Using Classification Tree Hidden Semi-Markov Model. - Yihuang Kang; Vladimir Zadorozhny (IRI, 2016)

Process monitoring using maximum sequence divergence. - Yihuang Kang; Vladimir Zadorozhny (Knowl. Inf. Syst., 2016)

Forecasting Company Revenue Trend Using Financial News. - Hsin-Ching Huang; San-Yih Hwang; Shanlin Chang; Yihuang Kang (PACIS, 2017)

Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. - Yihuang Kang; Keng-Pei Lin; I-Ling Cheng (IRI, 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 (PACIS, 2018)

A Medical Decision Support System Using Text Mining to Compare Electronic Medical Records. - Pei-Ju Lee; Yen-Hsien Lee; Yihuang Kang; Ching-Ping Chao (HCI (24), 2019)

Towards Interpretable Deep Extreme Multi-Label Learning. - Yihuang Kang; I-Ling Cheng; Wenjui Mao; Bowen Kuo; Pei-Ju Lee (IRI, 2019)

A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems. - Keng-Pei Lin; Yihuang Kang; William S. Chao (MDM, 2019)

Topic Diffusion Discovery based on Deep Non-negative Autoencoder. - Sheng-Tai Huang; Yihuang Kang; Shao-Min Hung; Bowen Kuo; I-Ling Cheng (IRI, 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 (IRI, 2020)

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 (IRI, 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)

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)

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 (HRI, 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 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 (IRI, 2023)

Toward Transparent Sequence Models with Model-Based Tree Markov Model. - Chan Hsu; Wei-Chun Huang; Jun-Ting Wu; Chih-Yuan Li; Yihuang Kang (MIPR, 2023)

CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback. - En-Qi Tseng; Pei-Cing Huang; Chan Hsu; Peng-Yi Wu; Chan-Tung Ku; Yihuang Kang (IEEE Big Data, 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 (MIPR, 2024)

Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation. - Chan Hsu; Jun-Ting Wu; Yihuang Kang (CoRR, 2024)

Subgroup Analysis via Model-based Rule Forest. - I-Ling Cheng; Chan Hsu; Chan-Tung Ku; Pei-Ju Lee; Yihuang Kang (CoRR, 2024)

Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework. - Peng-Yi Wu; Pei-Cing Huang; Ting-Yu Chen; Chantung Ku; Ming-Yen Lin; Yihuang Kang (CoRR, 2025)

Towards Simulating Social Influence Dynamics with LLM-based Multi-agents. - Hsien-Tsung Lin; Pei-Cing Huang; Chan-Tung Ku; Chan Hsu; Pei-Xuan Shieh; Yihuang Kang (CoRR, 2025)