Weiping Ding

A Multimodel Fusion Engine for Filtering Webpages

2018 · IEEE Access

Fusing multiple existing models for filtering webpages can mitigate the shortcomings of individual filtering models. To provide an engine for such fusion, we propose a multimodel fusion engine for filtering webpages for the extraction of …

Amer: A New Attribute-Missing Network Embedding Approach

2022 · IEEE Transactions on Cybernetics

Network embedding which aims to learn a low dimensional representation of nodes is a powerful technique for network analysis. While network embedding for networks with complete attributes has been widely investigated, in many real-world applications …

A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection

2024 · IEEE Transactions on Fuzzy Systems

Multivariate time series prediction (MTSP) stands as a significant and challenging frontier in the data science domain, garnering considerable interest among researchers. Extreme learning machine (ELM) has emerged as a popular machine learning algorithm capable …

Synergistic Attention-Guided Cascaded Graph Diffusion Model for Complementarity Determining Region Synthesis

2024 · IEEE Transactions on Neural Networks and Learning Systems

Complementarity determining region (CDR) is a specific region in antibody molecules that binds to antigens, where a small portion of residues undergoes particularly pronounced variations. Generating CDRs with high affinity and specificity is a pivotal …

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 …