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05/30/2023
Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics
Local hemodynamic forces play an important role in determining the funct...
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12/13/2022
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Although weakly-supervised techniques can reduce the labeling effort, it...
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11/11/2022
Local-basis Difference Potentials Method for elliptic PDEs in complex geometry
We develop efficient and high-order accurate finite difference methods f...
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10/11/2022
Improving Sample Efficiency of Deep Learning Models in Electricity Market
The superior performance of deep learning relies heavily on a large coll...
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06/08/2022
Towards Self-supervised and Weight-preserving Neural Architecture Search
Neural architecture search (NAS) algorithms save tremendous labor from h...
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01/21/2022
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Medical image segmentation has been widely recognized as a pivot procedu...
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09/03/2021
Estimating Demand Flexibility Using Siamese LSTM Neural Networks
There is an opportunity in modern power systems to explore the demand fl...
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08/21/2021
High-order accurate schemes for Maxwell's equations with nonlinear active media and material interfaces
We describe a fourth-order accurate finite-difference time-domain scheme...
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05/28/2021
CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals
Electrocardiogram (ECG) signals play critical roles in the clinical scre...
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05/27/2021
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation
Deep learning has demonstrated significant improvements in medical image...
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04/03/2020
