Author

Yinhua Piao

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#artificial intelligence Preprint Sep 2026

scTrilemma: Balancing Identity, Invariance, and Fidelity in Single-Cell Representation Learning

Single-cell RNA-seq representation learning is fundamentally label-free: cell identities, states, and contexts are not fixed training targets, so what constitutes signal or nuisance is analysis-dependent. A single representation must therefore preserve biological identity and state, remain robust to nuisance context, a...

Yunhak Oh, Yoonho Lee, Junseok Lee et al. · 0 citations

#artificial intelligence Preprint Aug 2026

AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA

AdaPath is proposed, a path-finding framework that retrieves query-adaptive meta-paths from Path-Bank, which captures both query semantics and biomedical knowledge graph structure and releases BioStrat-QA, a biomedical KGQA benchmark that stratifies multi-hop queries by how much intermediate reasoning they expose.

Jun Hyeong Kim, Dongki Kim, Yinhua Piao et al. · 0 citations