Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers. - Jun-En Ding; Chi-Hsiang Chu; Mong-Na Lo Huang; Chien-Ching Hsu (MIUA, 2021)

LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking. - Chih-Hen Lee; Jun-En Ding; Chih-Ming Chen 003; Jing-Kai Lou; Ming-Feng Tsai; Chuan-Ju Wang (SIGIR, 2021)

An Exploration Study of Multi-stage Conversational Passage Retrieval: Paraphrase Query Expansion and Multi-view Point-wise Ranking. - Jia-Huei Ju; Chih-Ting Yeh; Cheng-Wei Lin; Chia-Ying Tsao; Jun-En Ding; Chuan-Ju Wang; Ming-Feng Tsai (TREC, 2021)

Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract). - Tzu-Ya Lai; Wen Jung Cheng; Jun-En Ding (AAAI, 2023)

Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE. - Jun-En Ding; Chih-Ho Hsu; Kuan-Chia Ling; Ling Chen 004; Fang-Ming Hung (CoRR, 2023)

Parkinson Disease classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features. - Jun-En Ding; Chien-Chin Hsu; Feng Liu 011 (CoRR, 2023)

EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models. - Chun-Chieh Liao; Wei-Ting Kuo; I-Hsuan Hu; Yen-Chen Shih; Jun-En Ding; Feng Liu 011; Fang-Ming Hung (CIKM, 2024)

MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. - Phan Nguyen Minh Thao; Cong-Tinh Dao; Chenwei Wu 006; Jian-Zhe Wang; Shun Liu; Jun-En Ding; David S. Restrepo; Feng Liu 011; Fang-Ming Hung; Wen-Chih Peng (CIKM, 2024)

Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features. - Jun-En Ding; Chien-Chin Hsu; Feng Liu 011 (ISBI, 2024)

Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks. - Jun-En Ding; Shihao Yang 001; Anna Zilverstand; Feng Liu 011 (CoRR, 2024)

Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. - Jun-En Ding; Phan Nguyen Minh Thao; Wen-Chih Peng; Jian-Zhe Wang; Chun-Cheng Chug; Min-Chen Hsieh; Yun-Chien Tseng; Ling Chen 004; Dongsheng Luo; Chi-Te Wang; Pei-fu Chen; Feng Liu 011; et al. (CoRR, 2024)

Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning. - Jun-En Ding; Chien-Chin Hsu; Feng Liu 011 (CoRR, 2024)

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. - David S. Restrepo; Chenwei Wu 006; Zhengxu Tang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Cong-Tinh Dao; Jack Gallifant; Robyn Gayle Dychiao; Jose Carlo Artiaga; André Hiroshi Bando; Carolina Pelegrini Barbosa Gracitelli; et al. (AAAI, 2025)

Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks. - Jun-En Ding; Shihao Yang 001; Anna Zilverstand; Kaustubh R. Kulkarni; Xiaosi Gu; Feng Liu 011 (IEEE J. Biomed. Health Informatics, 2025)

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders. - Jun-En Ding; Dongsheng Luo; Anna Zilverstand; Feng Liu 011 (CoRR, 2025)

MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation. - Hsin-Ling Hsu; Cong-Tinh Dao; Luning Wang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Chun-Chieh Liao; Pengfei Hu; Xiaoxue Han; Chih-Ho Hsu; Dongsheng Luo; Wen-Chih Peng; et al. (CoRR, 2025)

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification. - Jing Wang; Jun-En Ding; Feng Liu 011; Elisa Kallioniemi; Shuqiang Wang; Wen-Xiang Tsai; Albert C. Yang (CoRR, 2025)

No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery. - Xiaoxue Han; Pengfei Hu; Jun-En Ding; Chang Lu; Feng Liu 011; Yue Ning 001 (CoRR, 2025)