Xuefeng Cui

The paper introduces CoAtGIN, a graph neural network combining convolution and attention for molecule property prediction, achieving high performance with fewer parameters.

This paper introduces ONN4MST, a deep learning method for microbial source tracking that achieves high accuracy and speed across large datasets of microbial communities.

This paper introduces ONN4ARG, an ontology-aware deep learning method for antibiotic resistance gene discovery, identifying 120,726 candidate ARGs, including novel ones not in public databases.

DNN-DTIs predicts drug-target interactions using XGBoost feature selection and deep neural networks, achieving high accuracy on multiple datasets.

VP-Detector uses a 3D convolutional neural network to automatically localize and classify macromolecules in cryo-electron tomograms, achieving competitive performance with efficient processing.

The paper introduces ContactLib-ATT, a two-level neural network for protein structure embedding that improves SCOP superfamily classification and remote homolog search.

The paper introduces ContactLib-DNN, a method for detecting homologous proteins using structure fingerprints, achieving higher accuracy and speed than existing methods.