6 papers
Federated Topic Model and Model Pruning Based on Variational Autoencoder
Chengjie Ma, Yawen Li, Meiyu Liang +1
Topic modeling has emerged as a valuable tool for discovering patterns and topics within large collections of documents. However, when cross-analysis involves multiple parties, dat…
Topic model based on co-occurrence word networks for unbalanced short text datasets
Chengjie Ma, Junping Du, Meiyu Liang +1
We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets. Our approach, named CWUTM (Topic model based on co-occurrence word networks for…
Cross-media Scientific Research Achievements Query based on Ranking Learning
Benzhi Wang, Meiyu Liang, Ang Li
With the advent of the information age, the scale of data on the Internet is getting larger and larger, and it is full of text, images, videos, and other information. Different fro…
Mining and searching association relation of scientific papers based on deep learning
Jie Song, Meiyu Liang, Zhe Xue +2
There is a complex correlation among the data of scientific papers. The phenomenon reveals the data characteristics, laws, and correlations contained in the data of scientific and…
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network
Hongrui Gao, Yawen Li, Meiyu Liang +2
Because most scientific literature data are unlabeled, semantic representation learning based on unsupervised graphs has become crucial. To enrich scientific-literature features, t…
Research on Domain Information Mining and Theme Evolution of Scientific Papers
Changwei Zheng, Zhe Xue, Meiyu Liang +2
In recent years, with the increase of social investment in scientific research, the number of research results in various fields has increased significantly. Cross-disciplinary res…