News

LinkedIn2y
Data Augmentation and Feature Engineering for Deep Learning - LinkedIn
Learn how to use data augmentation and feature engineering to create new and diverse data samples and extract relevant and informative features for your deep learning model.
IEEE1y
On the Effectiveness of Graph Data Augmentation for Source Code Learning - IEEE Xplore
The methodology that uses deep learning to solve software engineering tasks, such as bug detection, is known as source code learning. Due to the graph nature of source code, graph learning, empowered ...
IEEE11mon
Control-Based Graph Embeddings with Data Augmentation for Contrastive Learning - IEEE Xplore
In this paper, we study the problem of unsupervised graph representation learning by harnessing the control properties of dynamical networks defined on graphs. Our approach introduces a novel ...
www.cs.utexas.edu1y
Data Augmentation for Deep Transfer Learning (2019)
Current approaches to deep learning are beginning to rely heavily on transfer learning as an effective method for reducing overfitting, improving model performance, and quickly learning new tasks.
GitHub2y
zhao-tong/SDM2023_Graph_Data_Augmentation_Tutorial: Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning - GitHub
His research focuses on graph machine learning, representation learning, and data augmentation methods on graphs. His work has resulted in 20+ conference and journal publications, in top venues such ...