4 citations · 4 across the 5 of their papers we have counts for
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stat.ME2026
Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance
Guoxuan Ma, Yuan Zhong, Moyan Li +2
Electroencephalography (EEG)-based P300 brain-computer interfaces (BCIs) enable communication without physical movement by detecting stimulus-evoked neural responses. Accurate and…
stat.ME2024
Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
Junhui He, Guoxuan Ma, Jian Kang +1
We establish a scalable manifold learning method and theory, motivated by the problem of estimating fMRI activation manifolds in the Human Connectome Project (HCP). Our primary con…
stat.ME2023★ 4 cited
Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
Guoxuan Ma, Jian Kang, Tianwei Yu
Untargeted metabolomics based on liquid chromatography-mass spectrometry technology is quickly gaining widespread application given its ability to depict the global metabolic patte…