IEEE

A Hybrid Deep Learning Framework Combining Convolutional, Transformer, and GRU Models with Mixture of Experts for RNA Sequence Analysis

Abstract: This work proposes a novel hybrid deep learning model that incorporates CNNs, Transformer models, and GRU layers, further extended with an MoE model, for advanced sequence analysis. The ...
IEEE

Adaptive Gaussian Mixture Model with Hierarchical Propagation for One-Class Graph Fraud Detection

Abstract: Existing graph fraud detection (GFD) methods have made remarkable progress with well-labeled training samples. However, in real applications, adequate training data may be unavailable due to ...