Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research interests include Computer science, Artificial intelligence, Embedding, Heartbeat, Pattern recognition (psychology), and Graph.
Joint high-resolution feature learning and vessel-shape aware convolutions for efficient vessel segmentation
HTINet2: herb–target prediction via knowledge graph embedding and residual-like graph neural network
KDGene: knowledge graph completion for disease gene prediction using interactional tensor decomposition
TCMPR: TCM Prescription Recommendation Based on Subnetwork Term Mapping and Deep Learning
Add-On Chinese Medicine for Coronavirus Disease 2019 (ACCORD): A Retrospective Cohort Study of Hospital Registries
Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network
TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning
Herb Target Prediction Based on Representation Learning of Symptom related Heterogeneous Network
A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals
Detection of inter-patient left and right bundle branch block heartbeats in ECG using ensemble classifiers