Publications
Find below a selection of my publications and preprints; a full list can be found on my google scholar profile.
Journal Articles
- Lee-Moay Lim, Ming-Yen Lin, Chan Hsu, Chantung Ku, Yi-Pei Chen, Yihuang Kang, Yi-Wen chiu. (2025). Computer-Assisted Prescription of Erythropoiesis-Stimulating Agents in Patients Undergoing Maintenance Hemodialysis: A Randomized Control Trial for AI Model Selection. JAMIA Open. Link
- Shih-Yi Chien, Shiau-Fang Chao, Yihuang Kang, Chan Hsu, Meng-Hsuan Yu, Chan-Tung Ku. (2022). Understanding Predictive Factors of Dementia for Older Adults: A Machine Learning Approach for Modeling Dementia Influencers. International Journal of Human-Computer Studies (IJHCS). Link
Conference papers
Po-Han Lee, Yu-Cheng Lin, Chan-Tung Ku, Chan Hsu, Pei-Cing Huang, Ping-Hsun Wu, Yihuang Kang. (2025). LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference. In IEEE International Conference on Information Reuse and Integration for Data Science (IRI), AIHC workshop. Link, Arxiv Link
Hsien-Tsung Lin, Pei-Cing Huang, Chan-Tung Ku, Chan Hsu, Pei-Xuan Shieh, Yihuang Kang. (2025). Towards Simulating Social Influence Dynamics with LLM-based Multi-agents. In IEEE International Conference on Information Reuse and Integration for Data Science (IRI). Link, Arxiv Link.
En-Qi Tseng, Pei-Cing Huang, Chan Hsu, Peng-Yi Wu, Chan-Tung Ku, Yihuang Kang. (2024). CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback. In IEEE BigData, WLLFM24 workshop. Link
Yu-Cheng Lin, Chan Hsu, Chun-Wang Wei. (2024). Identifying Anticancer Peptides from Amino Acid Sequences: A Novel Approach Based on Deep Neural Networks. In IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). [Best Paper].
Chih-Yuan Li, Jun-Ting Wu, Chan Hsu, Ming-Yen Lin, Yihuang Kang. (2024). Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models. In IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), BDH workshop. Link, Arxiv Link
Chan Hsu, Jun-Ting Wu, Yihuang Kang. (2024). Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation. In IEEE International Conference on Information Reuse and Integration for Data Science (IRI). Link, Arxiv Link
I-Ling Cheng, Chan Hsu, Pei-Ju Lee, Chan-Tung Ku, Yihuang Kang. (2024). Subgroup analysis via Model-based Rule Forest. In IEEE International Conference on Information Reuse and Integration for Data Science (IRI), AIHC workshop. Link, Arxiv Link
Hei-Liam Chow, Chan Hsu, Shih-Yi Chien. (2024). Psychosocial Determinants of Dementia Progression: Insights from Advanced Data Analytics using the Taiwan Longitudinal Study in Aging. In IEEE International Conference on Human-Machine Systems (ICHMS). Link
Chan Hsu, Wei-Chun Huang, Jun-Ting Wu, Chih-Yuan Li, Yihuang Kang. (2023). Toward Transparent Sequence Models with Model-Based Tree Markov Model. In IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), Big Data in Healthcare workshop. Link, Arxiv Link
Chan Hsu, Chan-Tung Ku, Yuwen Wang, Minchen Hsieh, Jun-Ting Wu, Yunhsiang Hsieh, PoFeng Chang, Yimin Lu, Yihuang Kang. (2023). A Teacher-Student Knowledge Distillation Framework for Enhanced Detection of Anomalous User Activity. In IEEE International Conference on Information Reuse and Integration for Data Science (IRI). Link
Chan Hsu, Ching-Chih Tsao, Yu-Liang Weng, Cheng-Yi Tang, Yu-Wen Chang, Yihuang Kang, Shih-Yi Chien. (2022). A machine learning approach to model HRI research trends in 2010~ 2021. In ACM/IEEE International Conference on Human-Robot Interaction (HRI). Link