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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Shao-Hsuan Wang

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2 papers indexed here

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Open access Sep 2026

FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies

Transcriptome-wide association studies (TWAS) integrate genome wide association studies with expression quantitative trait locus reference panels to identify genes associated with traits of interest. However, linkage disequilibrium and correlated gene expression can induce spurious TWAS signals, motivating fine mapping...

T. Canida, Zhen-Yao Ye, Shao-Hsuan Wang et al. · 0 citations
Aug 2026

A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors With Mixed‐Type Responses: Applications to Neuroimaging Data Mining

The Bayesian sparse Kronecker product decomposition (BSKPD) is proposed, which represents a regression or classification coefficient tensor as a low‐rank sum of Kronecker products of sparse component tensors, and establishes identifiability and posterior consistency in both classical and high‐dimensional regimes.

Shao-Hsuan Wang, Hsin-Hsiung Huang · 0 citations

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