82 citations · 125 across the 7 of their papers we have counts for
7 papers
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks
Xueli Xiao, Chunyan Ji, Thosini Bamunu Mudiyanselage +1
Deep learning has gained great success in various classification tasks. Typically, deep learning models learn underlying features directly from data, and no underlying relationship…
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…
Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association
Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake +2
Graphs can be used to effectively represent complex data structures. Learning these irregular data in graphs is challenging and still suffers from shallow learning. Applying deep l…
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News
Yang Li, Yi Pan
In recent years, machine learning and deep learning have become popular methods for financial data analysis, including financial textual data, numerical data, and graphical data. T…
Improved Detection of Adversarial Images Using Deep Neural Networks
Yutong Gao, Yi Pan
Machine learning techniques are immensely deployed in both industry and academy. Recent studies indicate that machine learning models used for classification tasks are vulnerable t…
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…