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05/04/2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
Training and inference with graph neural networks (GNNs) on massive grap...
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10/16/2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Improving the training and inference performance of graph neural network...
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02/04/2021
Challenges in biomarker discovery and biorepository for Gulf-war-disease studies: a novel data platform solution
Aims: Our Gulf War Illness (GWI) study conducts combinatorial screening ...
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08/20/2020
iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
Objective: This study aims to develop and validate a novel framework, iP...
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06/13/2019
Spaceland Embedding of Sparse Stochastic Graphs
We introduce a nonlinear method for directly embedding large, sparse, st...
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10/27/2016
Iterative Inversion of Deformation Vector Fields with Feedback Control
Purpose: This study aims at improving both accuracy with respect to inve...
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06/03/2015
