Shubo Tian

The paper constructs a comprehensive biomedical knowledge graph (iKraph) using PubMed abstracts and integrates it with public databases to enable AI-powered knowledge discovery, demonstrating its utility in drug repurposing.

The paper develops a hybrid system for chemical identification and indexing in full-text articles using BERT-based methods and dictionary matching, achieving high F1 scores on chemical NER and normalization.

The paper develops an ensemble model based on PubMedBERT for multi-label topic classification of COVID-19 literature, achieving an F1 score of 0.9247.

This study develops DeepSenSe, a deep learning method for sentence-based literature retrieval using PubMed Central data, showing improved performance over PubMed and Google Scholar.