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Kai Chang

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#artificial intelligence Preprint Oct 2026

Lingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine

Large language models have advanced medical reasoning, but clinically grounded reasoning in traditional Chinese medicine (TCM) remains challenging because prescription decisions require integrating domain knowledge, syndrome differentiation, treatment principles, herbal prescription composition, and dosage determinatio...

Rui Hua, Yu Wei, Zi-Cai Jin et al. · 0 citations
Preprint Jul 2026

LingShu: A Large-Scale Symptom-Centric Contextualized Knowledge Graph Bridging Traditional Chinese Medicine and Modern Biomedicine

LingShu is presented, a large-scale symptom-centric contextualized knowledge graph designed to bridge TCM and modern biomedicine and developed a web platform that integrates graph visualization, graph-based reasoning, and an evidence-grounded knowledge question-answering agent.

Rui Hua, Zi-Xin Shu, Kai Chang et al. · 0 citations
Open access Jul 2026

TaxEL: Taxonomy-Enhanced Entity Representation Learning for Biomedical Entity Linking.

TaxEL introduces Taxonomy-Guided Contrastive Sampling (TGCS), which systematically integrates both local ontology structure and global semantic similarity to generate informative positive and hard negative samples for each mention; and Structured Semantic Alignment Loss (SSAL), which enforces alignment between model pr...

Rui Hua, Zeyu Liu, Zixin Shu et al. · 0 citations

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