3 citations · 5 across the 4 of their papers we have counts for
4 papers
Coded Residual Transform for Generalizable Deep Metric Learning
Shichao Kan, Yixiong Liang, Min Li +3
A fundamental challenge in deep metric learning is the generalization capability of the feature embedding network model since the embedding network learned on training classes need…
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning
Meng Wang, Chuqi Lei, Jianxin Wang +2
Human leukocyte antigen (HLA) is an important molecule family in the field of human immunity, which recognizes foreign threats and triggers immune responses by presenting peptides…
A Pseudo Label-wise Attention Network for Automatic ICD Coding
Yifan Wu, Min Zeng, Ying Yu +1
Automatic International Classification of Diseases (ICD) coding is defined as a kind of text multi-label classification problem, which is difficult because the number of labels is…
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
Yifan Wu, Min Gao, Min Zeng +3
Motivation: Exploring drug-protein interactions (DPIs) work as a pivotal step in drug discovery. The fast expansion of available biological data enables computational methods effec…