3 papers
stat.ML2026
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Tianxi Cai, Feiqing Huang, Ryumei Nakada +2
Electronic health record (EHR) systems capture a wealth of multimodal clinical data, encompassing both structured clinical codes and unstructured clinical notes. Yet, many EHR-focu…
stat.ML2026
Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records
Feiqing Huang, Zongqi Xia, Rong Ma +1
We propose a spectral-based, unsupervised representation learning framework to derive low-dimensional embeddings for clinical concepts and patients in rare disease cohorts from ele…
stat.ML2026
ParaRNN: An Interpretable and Parallelizable Recurrent Neural Network for Time-Dependent Data
Yuxi Cai, Lan Li, Feiqing Huang +1
The proliferation of large-scale and structurally complex data has spurred the integration of machine learning methods into statistical modeling. Recurrent neural networks (RNNs),…