Jun-En Ding
Orcid: 0000-0002-1233-138X
According to our database1,
Jun-En Ding
authored at least 11 papers
between 2021 and 2024.
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Bibliography
2024
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data.
CoRR, 2024
Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks.
CoRR, 2024
Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models.
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.
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.
CoRR, 2023
Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE.
CoRR, 2023
Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract).
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.
Proceedings of the Thirtieth Text REtrieval Conference, 2021
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.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021