Area of research
Cancer Research · Computational Theory and Mathematics
Research interest
Research focused on Artificial intelligence and Interpretability, with related work in Matrix decomposition, Dual (grammatical number), Benchmark (surveying). Notable publications include 'Leveraging 3D Molecular Spatial Visual Information and Multi‐Perspective Representations for Drug Discovery', 'Dual-Channel MiRNA Drug Resistance Prediction Model Based on Multimodal Feature Alignment', and 'GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention'.
Leveraging 3D Molecular Spatial Visual Information and Multi‐Perspective Representations for Drug Discovery
Dual-Channel MiRNA Drug Resistance Prediction Model Based on Multimodal Feature Alignment
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention
DNMDA: Deep Non-negative Matrix Factorization with Multi-level Integration for MiRNA-Drug Interaction Prediction