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)

Psychosocial Determinants of Dementia Progression: Insights from Advanced Data Analytics using the Taiwan Longitudinal Study in Aging. - Hiu Lam Chow; Chan Hsu; Shih-Yi Chien (ICHMS, 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 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)