5 papers
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…
Development of COVID-19 Booster Vaccine Policy by Microsimulation and Q-learning
Guoxuan Ma, Sicong Xie, Lili Zhao +1
The COVID-19 pandemic highlighted the urgent need for effective vaccine policies, but traditional clinical trials often lack sufficient data to capture the diverse population chara…
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…
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…
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
Guoxuan Ma, Bangyao Zhao, Hasan Abu-Amara +1
In neuroimaging studies, it becomes increasingly important to study associations between different imaging modalities using image-on-image regression (IIR), which faces challenges…