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09/17/2023
Energy stable neural network for gradient flow equations
In this paper, we propose an energy stable network (EStable-Net) for sol...
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08/20/2023
Large Transformers are Better EEG Learners
Pre-trained large transformer models have achieved remarkable performanc...
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06/05/2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
Pruning is a model compression method that removes redundant parameters ...
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07/06/2020
An Elastic Interaction-Based Loss Function for Medical Image Segmentation
Deep learning techniques have shown their success in medical image segme...
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12/31/2019
A New Formulation of Coupling and Sliding Motions of Grain Boundaries Based on Dislocation Structure
A continuum model of the two dimensional low angle grain boundary motion...
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12/31/2019