Research

Models trained on electronic health records inherit the gaps and biases of how care is delivered and recorded. I develop methods that measure and reduce those biases, such as individualized polysocial risk scores that bring social determinants of health into risk prediction without disadvantaging minority patients, and I study how data continuity and missingness affect fairness.

Key papers

• A fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes

  Yu Huang, Jingchuan Guo, William T. Donahoo, Yao An Lee, Zhengkang Fan, Ying Lu, Wei-Han Chen, Huilin Tang, …, Jiang Bian

  Nature Communications, 15(1), 8653, 2024 Journal

• A scoping review of fair machine learning techniques when using real-world data

  Yu Huang, Jingchuan Guo, Wei-Han Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian

  Journal of Biomedical Informatics, 151, 104622, 2024 Journal

• Adaptation of a fair individualized polysocial risk score for hospitalization risk prediction

  Qinglin Gou, Yu Hu, Xing He, Megan E. Gregory, Jennifer H. LeLaurin, Ramzi G. Salloum, Jiang Bian, Jingchuan Guo, Yu Huang

  JAMIA Open, 9(4), ooag161, 2026 Journal

Patients with the same diagnosis can follow very different courses. I build graph-based and temporal deep learning models that uncover progression subphenotypes in diseases such as Alzheimer's disease and type 2 diabetes, and early-classification methods that make reliable predictions from partial signals such as ECGs.

Key papers

• Identifying Alzheimer's Disease Progression Subphenotypes Via a Graph-based Framework Using Electronic Health Records

  Yu Huang, Jie Xu, Zhengkang Fan, Yu Hu, Xing He, Aokun Chen, Yuxi Liu, Rui Yin, …, Jiang Bian

  Journal of Healthcare Informatics Research, 10(2), 317–339, 2026 Journal

• Temporally Detailed Hypergraph Neural ODE for Disease Progression Modeling

  Tingsong Xiao, Yao An Lee, Zelin Xu, Yupu Zhang, Zibo Liu, Yu Huang, Jiang Bian, Jingchuan Guo, Zhe Jiang

  The Fourteenth International Conference on Learning Representations (ICLR), 2026 Conference

• Snippet Policy Network for Multi-class Varied-length ECG Early Classification

  Yu Huang, Gary G. Yen, Vincent S. Tseng

  IEEE Transactions on Knowledge and Data Engineering, 35(6), 6349–6361, 2022 Journal

• Snippet Policy Network V2: Knee-guided Neuroevolution for Multi-lead ECG Early Classification

  Yu Huang, Gary G. Yen, Vincent S. Tseng

  IEEE Transactions on Neural Networks and Learning Systems, 35(2), 2167–2181, 2022 Journal

A health digital twin is a computational counterpart of a patient that is updated as new data arrive. I build twins from longitudinal real-world data to forecast outcomes, such as kidney function decline in type 2 diabetes, and to compare care pathways before they are tried on the patient.

Key papers

• 399-P: Towards a Digital Twin Model for Predicting Renal Function Decline in Type 2 Diabetes Using Longitudinal Electronic Health Records

  Hongyu Chen, Yu Huang, Leyang Sun, Aokun Chen, Jingchuan Guo, Jiang Bian

  Diabetes, 74(Supplement 1), 399-P, 2025 Abstract

The retina is imaged routinely and reflects vascular and neural health. I work on foundation models that combine volumetric and planar eye imaging, on explanations aligned with retinal anatomy, and on multimodal systems that use routine eye care to assess dementia risk.

Key papers

• OphMAE: Bridging Volumetric and Planar Imaging with a Foundation Model for Adaptive Ophthalmological Diagnosis

  Tienyu Chang, Zhen Chen, Renjie Liang, Jinyu Ding, Jie Xu, Sunu Mathew, Amir Reza Hajrasouliha, Andrew J. Saykin, Ruogu Fang, Yu Huang, Jiang Bian, Qingyu Chen

  arXiv preprint arXiv:2605.02714, 2026 Preprint

• SAIL: Structure-Aware Interpretable Learning for Anatomy-Aligned Post-hoc Explanations in OCT

  Tienyu Chang, Tianhao Li, Ruogu Fang, Jiang Bian, Yu Huang

  arXiv preprint arXiv:2605.02707, 2026 Preprint

• Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment

  Sheng Liu, Long Chen, Zeyun Zhao, Qinglin Gou, Qingyue Wei, Arjun Masurkar, Kevin M. Spiegler, Philip Kuball, …, Yu Huang, …, James Zou

  arXiv preprint arXiv:2603.21597, 2026 Preprint