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Yi-Xuan Li

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#artificial intelligence Preprint Oct 2026

SMI: Ontology-Grounded Semantic IDs for Hierarchy-Aware Medical Concept Representation

Biomedical language models (LMs) provide strong representations for clinical tasks, but they often fail to capture the hierarchical structure among medical concepts. This limitation is especially pronounced for rare and fine-grained clinical codes in long-tailed vocabularies, where hierarchy-agnostic LM representations...

Zi-Yang Song, Li Shen, Yi-Xuan Li et al. · 0 citations

#natural language process... Preprint Aug 2026

Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction

Language models (LMs) offer strong textual representations for electronic health records (EHRs), but they encode patient sequences in isolation and provide limited explainability. Graph neural networks (GNNs) complement LMs by incorporating inter-patient relationships and enabling reference-patient attribution, yet the...

Xin-Yu Wang, Yi-Xuan Li, Han-Wei Wu et al. · 0 citations