Duoqian Miao

Multiple Self-Adaptive Correlation-Based Multiview Multilabel Learning

2025 · IEEE Transactions on Cybernetics

In order to process multiview multilabel, multilabel, and multiview data, current learning algorithms are designed on the basis of data characteristics, correlations, etc. While these algorithms cannot express correlations among different features, instances, labels in …

Robust Semi-Supervised Feature Selection With Multi-Granularity Zentropy Modeling

2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence

High-dimensional and weakly supervised (HiDWS) data present significant challenges for traditional machine learning and pattern recognition. Although semi-supervised feature selection has shown effectiveness in improving the quality of HiDWS data, existing methods remain sensitive and …