82 citations · 92 across the 4 of their papers we have counts for
4 papers
Elastic Graph Neural Networks
Xiaorui Liu, Wei Jin, Yao Ma +5
While many existing graph neural networks (GNNs) have been proven to perform -based graph smoothing that enforces smoothness globally, in this work we aim to further enhanc…
Revisiting Deep Neural Network Test Coverage from the Test Effectiveness Perspective
Ming Yan, Junjie Chen, Xuejie Cao +3
Many test coverage metrics have been proposed to measure the Deep Neural Network (DNN) testing effectiveness, including structural coverage and non-structural coverage. These test…
Deep Neural Networks with Short Circuits for Improved Gradient Learning
Ming Yan, Xueli Xiao, Joey Tianyi Zhou +1
Deep neural networks have achieved great success both in computer vision and natural language processing tasks. However, mostly state-of-art methods highly rely on external trainin…
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Xueli Xiao, Ming Yan, Sunitha Basodi +2
Convolutional Neural Networks (CNN) have gained great success in many artificial intelligence tasks. However, finding a good set of hyperparameters for a CNN remains a challenging…