Fang-Ming Hung

According to our database, Fang-Ming Hung authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CURENet: combining unified representations for efficient chronic disease prediction.

Cong-Tinh Dao, Nguyen-Minh-Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung

Health Inf. Sci. Syst., December, 2026

MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs.

Hsin-Ling Hsu, Zizheng Wang, Donghua Zhang, Nai-Chia Chen, Jerry Wang, Jun-En Ding, Chia-Hsuan Hsu, Guoan Wang, Feng Liu, Fang-Ming Hung, Chenwei Wu, Li Shen

CoRR, May, 2026

Chain-of-Thought Reasoning with Large Language Models for Clinical Alzheimer's Disease Assessment and Diagnosis.

Tongze Zhang, Jun-En Ding, Melik Ozolcer, Fang-Ming Hung, Albert Chih-Chieh Yang, Feng Liu, Yi-Rou Ji, Sang Won Bae

CoRR, February, 2026

2025

CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction.

Cong-Tinh Dao, Nguyen Minh Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung

CoRR, November, 2025

RPRO:Ranked Preference Reinforcement Optimization for Enhancing Medical QA and Diagnostic Reasoning.

Chia-Hsuan Hsu, Jun-En Ding, Hsin-Ling Hsu, Feng Liu, Fang-Ming Hung

CoRR, September, 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, Feng Liu, Fang-Ming Hung, Chenwei Wu

CoRR, March, 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, Feng Liu, Fang-Ming Hung, Chenwei Wu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

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, Dongsheng Luo, Chi-Te Wang, Pei-Fu Chen, Feng Liu, Fang-Ming Hung

CoRR, 2024

Predicting 24-Hour Emergency Room Revisits: A Concept Bottleneck Approach.

Yun-Chien Tseng, Cong-Tinh Dao, Chuan-Wei Kuo, Fang-Ming Hung, Chih-Chieh Hung, Wen-Chih Peng

Proceedings of the Technologies and Applications of Artificial Intelligence, 2024

MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models.

Phan Nguyen Minh Thao, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David S. Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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, Fang-Ming Hung

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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, Fang-Ming Hung

CoRR, 2023