1 citations · 1 across the 3 of their papers we have counts for
4 papers
Multi-view Feature Extraction based on Triple Contrastive Heads
Hongjie Zhang
Multi-view feature extraction is an efficient approach for alleviating the issue of dimensionality in highdimensional multi-view data. Contrastive learning (CL), which is a popular…
Multi-view Feature Extraction based on Dual Contrastive Head
Hongjie Zhang
Multi-view feature extraction is an efficient approach for alleviating the issue of dimensionality in highdimensional multi-view data. Contrastive learning (CL), which is a popular…
Feature Extraction Framework based on Contrastive Learning with Adaptive Positive and Negative Samples
Hongjie Zhang
In this study, we propose a feature extraction framework based on contrastive learning with adaptive positive and negative samples (CL-FEFA) that is suitable for unsupervised, supe…
Unified Framework for Feature Extraction based on Contrastive Learning
Hongjie Zhang
Feature extraction is an efficient approach for alleviating the issue of dimensionality in high-dimensional data. As a popular self-supervised learning method, contrastive learning…