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Xiaoyao Yu

2 accepted papers

2026

Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components

ICML 2026poster

AI for Science (AI4Science) workflows often treat the released dataset as a fixed interface to the underlying system. However, in domains relying on *indirect observation*, the learner observes a derivative representation produced by multi-stage measurement, reconstruction, and preprocessing pipelin…

Cited by 0SourceScholar
2025

Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints

NeurIPS 2025poster

Functional brain network (FBN) modeling often relies on local pairwise interactions, whose limitation in capturing high-order dependencies is theoretically analyzed in this paper. Meanwhile, the computational burden and heuristic nature of current hypergraph modeling approaches hinder end-to-end lea…

Cited by 0SourcecodeScholar