Cao Xiao

FastGCN: Fast Learning with Graph Convolutional Networks via Importance\n Sampling

2018 · arXiv (Cornell University)

The graph convolutional networks (GCN) recently proposed by Kipf and Welling\nare an effective graph model for semi-supervised learning. This model, however,\nwas originally designed to be learned with the presence of both training and\ntest data. Moreover, …

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement

2023 · arXiv (Cornell University)

Tabular data prediction has been employed in medical applications such as patient health risk prediction. However, existing methods usually revolve around the algorithm design while overlooking the significance of data engineering. Medical tabular datasets frequently …

Matching clinicians with clinical trials using AI

2026 · Nature Health

Abstract Clinical trial-site selection is often inefficient, leading to low enrolment, poor participant diversity and costly delays. We developed DocTr, a cross-modal deep learning framework to optimize this process. DocTr uniquely integrates patient encounter data …