Xiyu Ding

According to our database, Xiyu Ding authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Cross-Attention Fusion of Structural and Deformation-Based Mri Features for Alzheimer's Disease Classification.

Shijia Zhang, Xiyu Ding, Brian Caffo, Junyu Chen, Xinyi Zhang, Hadi Kharrazi, Zheyu Wang

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification.

Shijia Zhang, Xiyu Ding, Kai Ding, Jacob Zhang, Kevin Galinsky, Mengrui Wang, Ryan P. Mayers, Zheyu Wang, Hadi Kharrazi

CoRR, March, 2025

Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis.

Shijia Zhang, Xiyu Ding, Brian Caffo, Junyu Chen, Cindy Zhang, Hadi Kharrazi, Zheyu Wang

CoRR, March, 2025

2022

Classifying unstructured electronic consult messages to understand primary care physician specialty information needs.

Xiyu Ding, Michael L. Barnett, Ateev Mehrotra, Delphine S. Tuot, Danielle S. Bitterman, Timothy A. Miller

J. Am. Medical Informatics Assoc., 2022

Assessing the Impact of Social Determinants of Health on Patients with Type II Diabetes.

Xiyu Ding, Akihiko Nishimura, Scott Zeger, Hadi Kharrazi

Proceedings of the AMIA 2022, 2022

2021

Classifying Long Clinical Documents with Pre-trained Transformers.

Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach

CoRR, 2021

2020

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models.

Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T. Davis, Alessandro Vespignani, Mauricio Santillana

CoRR, 2020

Understanding eConsult Triage Behavior with Natural Language Processing.

Xiyu Ding, Michael L. Barnett, Ateev Mehrotra, Timothy A. Miller

Proceedings of the AMIA 2020, 2020

Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries.

Xiyu Ding, Mei-Hua Hall, Timothy A. Miller

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020