1 citations · 4 across the 5 of their papers we have counts for
5 papers
Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision
Mohan Jiang, Yaxin Liang, Siyuan Han +3
This study explores the application of generative adversarial networks in financial market supervision, especially for solving the problem of data imbalance to improve the accuracy…
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction
Yaxin Liang, Xinshi Li, Xin Huang +2
This study proposes an automated data mining framework based on autoencoders and experimentally verifies its effectiveness in feature extraction and data dimensionality reduction.…
Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues
Yuanshuai Luo, Rui Wang, Yaxin Liang +2
With the rapid growth of digital information, personalized recommendation systems have become an indispensable part of Internet services, especially in the fields of e-commerce, so…
Research on Optimization of Natural Language Processing Model Based on Multimodal Deep Learning
Dan Sun, Yaxin Liang, Yining Yang +3
This project intends to study the image representation based on attention mechanism and multimodal data. By adding multiple pattern layers to the attribute model, the semantic and…
Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network
Houze Liu, Iris Li, Yaxin Liang +3
Neural networks with relatively shallow layers and simple structures may have limited ability in accurately identifying pneumonia. In addition, deep neural networks also have a lar…