1 citations · 2 across the 6 of their papers we have counts for
6 papers
A LongFormer-Based Framework for Accurate and Efficient Medical Text Summarization
Dan Sun, Jacky He, Hanlu Zhang +3
This paper proposes a medical text summarization method based on LongFormer, aimed at addressing the challenges faced by existing models when processing long medical texts. Traditi…
Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training
Yuhan Ma, Dan Sun, Erdi Gao +3
Optimization theory serves as a pivotal scientific instrument for achieving optimal system performance, with its origins in economic applications to identify the best investment st…
Text classification optimization algorithm based on graph neural network
Erdi Gao, Haowei Yang, Dan Sun +3
In the field of natural language processing, text classification, as a basic task, has important research value and application prospects. Traditional text classification methods u…
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…
Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique
Qishi Zhan, Dan Sun, Erdi Gao +3
This study introduces a novel unsupervised medical image feature extraction method that employs spatial stratification techniques. An objective function based on weight is proposed…