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🏢 University of North Carolina at Chapel Hill

Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
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Multimodal Learning Vision-Language Models 🏢 University of North Carolina at Chapel Hill
Flex-MoE: A novel framework flexibly handles arbitrary modality combinations in multimodal learning, even with missing data, achieving robust performance.
Contrastive dimension reduction: when and how?
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Machine Learning Dimensionality Reduction 🏢 University of North Carolina at Chapel Hill
This research introduces a hypothesis test and a contrastive dimension estimator to identify unique foreground information in contrastive datasets, advancing the field of dimension reduction.
$ extit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
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AI Applications Healthcare 🏢 University of North Carolina at Chapel Hill
NeuroPath: A novel deep learning model reveals how brain structure supports brain function by uncovering multi-hop neural pathways, improving brain network analysis accuracy.