Jun-En Ding (丁俊恩)
Jun-En Ding (丁俊恩)
PhD student
Stevens institute of Technology
Email: jding17@stevens.edu
PhD student
Stevens institute of Technology
Email: jding17@stevens.edu
Research Interests
- I was fortunate to have Prof. Mong-Na Lo Huang as my advisor during my graduate studies and to receive her guidance. Currently, I am a Ph.D. student at Stevens Institute of Technology, where I am advised by Prof. Feng Liu.
- My research interests involve the application of machine learning to medical images and clinical data. Research areas include EHR data, Multimodal, and Graph Representation Learning.
Publications
- [04/2024]: One paper is accepted to CVPR'24 MMFM Workshop (Poster) [New!!]
- [02/2024]: One paper is accepted to ISBI'24 (Oral presentation) [New!!]
- [02/2023]: One paper is accepted to AAAI'23 (Student abstract)
- [08/2022]: One paper is accepted to JFMA (Correspondence paper)
- [05/2021]: One paper is accepted to MIUA 2021 (Oral paper)
- [04/2021]: One paper is accepted to SIGIR 2021 (Short paper)
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data (Preprint)
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, and Fang-Ming Hung
Identification of Craving Maps among Marijuana Users via Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks (Preprint)
Jun-En Ding, Shihao Yang, Anna Zilverstand, and Feng Liu
Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features [New!!]
Jun-En Ding, Chien-Chin Hsu, Feng Liu
International Symposium on Biomedical Imaging (ISBI2024)
Sequential graph attention learning for predicting dynamic stock trends
Tzu-Ya Lai, Wen Jung Cheng, Jun-En Ding
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)
Hospital transfer risk scoring system for a Taiwan COVID-19 medicalized hotel based on graph convolutional networks
Fang-Ming Hung, Chih-Ho Hsu, Jun-En Ding, Ling Chen
Journal of the Formosan Medical Association (JFMA 2021)
https://www.sciencedirect.com/science/article/pii/S0929664622003230
(Covid-19 AI scoring system : http://med-ai-demo.lab.nycu.edu.tw/)
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, and Chien-Ching Hsu
The 25th UK Conference on Medical Image Understanding and Analysis
LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking
Chih-Hen Lee, Chih-Ming Chen, Jun-En Ding, Jing-Kai Lou, Ming-Feng Tsai and Chuan-Ju Wang
The 44th International ACM SIGIR Conference
on Research and Development in Information Retrieval (SIGIR 2021)Ongoing Projects
Disease Risk Prediction: Establishing a Prediction Platform using Deep Learning Techniques from Big Data of Electronic Health Records.
Research Descriptions
Far Eastern Memorial Hospital-Medical Research Department Clerk
Development of a platform for predicting disease risk based on deep learning from electronic medical records.
111/03-
E.SUN bank recommendation system
110/01-110/12
Intern
108/6-108/12
Asset Prices Effect of Monetary Policy and its Sectoral Difference
Conference
AAAI 2023 Conference at Washington DC
AAAI-23 Student Abstract and Poster Program
LOG 2022 Conference
LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
2021 Medical Image Understanding and Analysis conference
2021 SIGIR conference
ESUN bank AI research center
Developing a smart financial recommendation system with E.SUN Bank's AI research center.
The 28th Joint National Sun Yat-sen University and National University of Kaohsiung Workshop on Statistics
The poster present
- Parkinson's disease images interpretation must be manually diagnosed by doctors on both sides of the striatum.
The goal of this study hope that doctors will mainly evaluate the striatum through the highly accurate Mask-RCNN algorithm in deep learning. After the segmentation Re-gion of Interest (ROI) where some specific regions of the brain such that striatum, and we input the segmentation image to CNN for classification, and establish a complete model to assist doc-tor in diagnosis.
The Workshop of PM2.5
- Parkinson's disease images interpretation must be manually diagnosed by doctors on both sides of the striatum.
The 37th AAAI Conference On Artificial Intelligence
Washington DC
The 28th Joint National Sun Yat-sen University and National University of Kaohsiung Workshop on Statistics
Work Experience
Research Assistant
Institute of Hospital and Health Care Administration
Our lab develops AI algorithms for CT scans and MRI images in collaboration with Far Eastern Hospital.
Research Assistant
Work on Research Center for Information Technology Innovation
Intern
Established in June 2016, Wellgen Medical Co., Ltd. has team members from academic, business, medical and technological fields. We have professional background, management expertise, and great execution. We focus on identification and analysis of medical microscopic images for disease detections. Using our revolutionary automated microscope, we are able to scan microscopic images at client side and analyze on the server by cloud computing using our artificial intelligence (AI) algorithm and big data analysis. Our automated microscope system and cloud computing service can improve diagnostic sensitivity and clinical outcome.
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