Jun-En Ding

According to our database, Jun-En Ding authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

2024

Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning.

Jun-En Ding, Chien-Chin Hsu, Feng Liu

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

CoRR, 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, Anna Zilverstand, Feng Liu

CoRR, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

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

CoRR, 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

Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract).

Tzu-Ya Lai, Wen Jung Cheng, Jun-En Ding

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the Thirtieth Text REtrieval Conference, 2021

LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking.

Chih-Hen Lee, Jun-En Ding, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

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

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021