3 papers
cs.IR2026
HyEm: Query-Adaptive Hyperbolic Retrieval for Biomedical Ontologies via Euclidean Vector Indexing
Ou Deng, Shoji Nishimura, Atsushi Ogihara +1
Retrieval-augmented generation (RAG) for biomedical knowledge faces a hierarchy-aware ontology grounding challenge: resources like HPO, DO, and MeSH use deep ``is-a" taxonomies, ye…
cs.LG2026
Statistical-Neural Interaction Networks for Interpretable Mixed-Type Data Imputation
Ou Deng, Shoji Nishimura, Atsushi Ogihara +1
Real-world tabular databases routinely combine continuous measurements and categorical records, yet missing entries are pervasive and can distort downstream analysis. We propose St…
cs.LG2026
Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators
Ou Deng, Ruichen Cong, Jianting Xu +3
AI for health will only scale when models are not only accurate but also readable, auditable, and governable. Many clinical and public-health decisions hinge on numeric thresholds…