LTRRS: A Learning to Rank Based Algorithm for Resource Selection in Distributed Information Retrieval. - Tianfeng Wu; Xiaofeng Liu 014; Shoubin Dong (CCIR, 2019)

SCUT-CCNL at TREC 2019 Precision Medicine Track. - Xiaofeng Liu 014; Lu Li; Zuoxi Yang; Shoubin Dong (TREC, 2019)

Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction. - Jianye Fan; Xiaofeng Liu 014; Shoubin Dong; Jinlong Hu (CCIR, 2020)

Multi-granularity sequential neural network for document-level biomedical relation extraction. - Xiaofeng Liu 014; Kaiwen Tan; Shoubin Dong (Inf. Process. Manag., 2021)

A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data. - Kaiwen Tan; Weixian Huang; Xiaofeng Liu 014; Jinlong Hu; Shoubin Dong (IEEE J. Biomed. Health Informatics, 2021)

A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction. - Kaiwen Tan; Weixian Huang; Xiaofeng Liu 014; Jinlong Hu; Shoubin Dong (Artif. Intell. Medicine, 2022)

A Syntax-enhanced model based on category keywords for biomedical relation extraction. - Xiaofeng Liu 014; Jiajie Tan; Jianye Fan; Kaiwen Tan; Jinlong Hu; Shoubin Dong (J. Biomed. Informatics, 2022)

Entity Relation Aware Graph Neural Ranking for Biomedical Information Retrieval. - Yichen He; Xiaofeng Liu 014; Jinlong Hu; Shoubin Dong (BIBM, 2023)

Knowledge enhanced edge-driven graph neural ranking for biomedical information retrieval. - Xiaofeng Liu 014; Jiajie Tan; Shoubin Dong (Expert Syst. Appl., 2025)