Spatio-temporal dependence-based tensor fusion for thermocline analysis in Argo data. - Yu Jiang 006; Shenggeng Lin; Jinjian Ruan; Hong Qi (J. Syst. Control. Eng., 2021)

MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism. - Shenggeng Lin; Yanjing Wang 003; Lingfeng Zhang; Yanyi Chu; Yatong Liu; Yitian Fang; Mingming Jiang; Qiankun Wang; Bowen Zhao; Yi Xiong 002; Dong-Qing Wei (Briefings Bioinform., 2022)

DeepPSE: Prediction of polypharmacy side effects by fusing deep representation of drug pairs and attention mechanism. - Shenggeng Lin; Guangwei Zhang; Dong-Qing Wei; Yi Xiong 002 (Comput. Biol. Medicine, 2022)

MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning. - Shenggeng Lin; Weizhi Chen; Gengwang Chen; Songchi Zhou; Dong-Qing Wei; Yi Xiong (J. Cheminformatics, 2022)

A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions. - Heqi Sun; Jianmin Wang 016; Hongyan Wu; Shenggeng Lin; Junwei Chen; Jinghua Wei; Shuai Lv; Yi Xiong 002; Dong-Qing Wei (J. Chem. Inf. Model., 2023)

ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler. - Yufang Zhang; Yanyi Chu; Shenggeng Lin; Yi Xiong 002; Dong-Qing Wei (Briefings Bioinform., 2024)

An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model. - Yufang Zhang; Jiayi Li; Shenggeng Lin; Jianwei Zhao; Yi Xiong; Dong-Qing Wei (J. Cheminformatics, 2024)

Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning. - Rongpei Li; Yufang Zhang; Heqi Sun; Shenggeng Lin; Guihua Jia; Yitian Fang; Chen Zhang; Xiaotong Song; Jianwei Zhao; Lyubin Hu; Yajing Yuan; Xueying Mao; et al. (PeerJ Comput. Sci., 2025)

GRATCR: Epitope-Specific T Cell Receptor Sequence Generation With Data-Efficient Pre-Trained Models. - Zhenghong Zhou; Junwei Chen; Shenggeng Lin; Liang Hong; Dong-Qing Wei; Yi Xiong 002 (IEEE J. Biomed. Health Informatics, 2025)