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stat.ME2026
Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
Yuming Zhang, Congyuan Duan, Dong Xia +2
Multi-institutional electronic health record (Multi-EHR) data have emerged as a powerful resource for developing predictive models to support clinical decisions and for generating…
stat.ME2026
Transfer Learning with Network Embeddings under Structured Missingness
Mengyan Li, Xiaoou Li, Kenneth D Mandl +1
Modern data-driven applications increasingly rely on large, heterogeneous datasets collected across multiple sites. Differences in data availability, feature representation, and un…
stat.ME2024
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
Suqi Liu, Tianxi Cai, Xiaoou Li
A large-scale knowledge graph enhances reproducibility in biomedical data discovery by providing a standardized, integrated framework that ensures consistent interpretation across…