Identifying Top-K Important Nodes Based on Probabilistic-Jumping Random Walk in Complex Networks. - Hui Yu 011; Luyuan Chen; Xi Cao; Zun Liu; Yongjun Li (COMPLEX NETWORKS, 2017)

Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization. - Hui Yu 011; Kui-Tao Mao; Jian-Yu Shi; Hua Huang; Zhi Chen; Kai Dong; Siu-Ming Yiu (BMC Syst. Biol., 2018)

Emergency Alternative Selection Based on an E-IFWA Approach. - Luyuan Chen; Hui Yu 011 (IEEE Access, 2019)

Detecting drug communities and predicting comprehensive drug-drug interactions via balance regularized semi-nonnegative matrix factorization. - Jian-Yu Shi; Kui-Tao Mao; Hui Yu 011; Siu-Ming Yiu (J. Cheminformatics, 2019)

SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction. - Arnold K. Nyamabo; Hui Yu 011; Jian-Yu Shi (Briefings Bioinform., 2021)

A three-way density peak clustering method based on evidence theory. - Hui Yu 011; Luyuan Chen; Jingtao Yao 001 (Knowl. Based Syst., 2021)

Directed graph attention networks for predicting asymmetric drug-drug interactions. - Yi-Yang Feng; Hui Yu 011; Yue-Hua Feng; Jian-Yu Shi (Briefings Bioinform., 2022)

Drug-drug interaction prediction with learnable size-adaptive molecular substructures. - Arnold K. Nyamabo; Hui Yu 011; Zun Liu; Jian-Yu Shi (Briefings Bioinform., 2022)

STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions. - Hui Yu 011; Shiyu Zhao; Jianyu Shi (Briefings Bioinform., 2022)

MLGL-MP: a Multi-Label Graph Learning framework enhanced by pathway interdependence for Metabolic Pathway prediction. - Bing-Xue Du; Peng-Cheng Zhao; Bei Zhu; Siu-Ming Yiu; Arnold K. Nyamabo; Hui Yu 011; Jian-Yu Shi (Bioinform., 2022)

Predict multi-type drug-drug interactions in cold start scenario. - Zun Liu; Xing-Nan Wang; Hui Yu 011; Jian-Yu Shi; Wenmin Dong (BMC Bioinform., 2022)

RANEDDI: Relation-aware network embedding for drug-drug interaction prediction. - Hui Yu 011; Wenmin Dong; Jianyu Shi (Inf. Sci., 2022)

MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow. - Bing-Xue Du; Yi Xu; Siu-Ming Yiu; Hui Yu 011; Jian-Yu Shi (RECOMB, 2023)

DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction. - Hui Yu 011; KangKang Li; Jianyu Shi (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Attention-based cross domain graph neural network for prediction of drug-drug interactions. - Hui Yu 011; Kangkang Li; Wenmin Dong; Shuanghong Song; Chen Gao; Jianyu Shi (Briefings Bioinform., 2023)

Data Augmentation Generated by Generative Adversarial Network for Small Sample Datasets Clustering. - Hui Yu 011; Qiao Feng Wang; Jian Yu Shi (Neural Process. Lett., 2023)

DVL-CC: A Novel Dual-View Learning Framework for Compound Cocrystal Prediction Boosted by View Consistency and Complementarity. - Haoyang Yu; Bei Zhu; Bing-Xue Du; Xue-Xin Wei; Hui Yu 011; Jian-Yu Shi (BCB, 2024)

Prediction of drug-target binding affinity based on multi-scale feature fusion. - Hui Yu 011; Wen-Xin Xu; Tian Tan 022; Zun Liu; Jian-Yu Shi (Comput. Biol. Medicine, 2024)

GGI-DDI: Identification for key molecular substructures by granule learning to interpret predicted drug-drug interactions. - Hui Yu 011; Jing Wang; Shi-Yu Zhao; Omayo Silver; Zun Liu; JingTao Yao 001; Jian-Yu Shi (Expert Syst. Appl., 2024)

Multi-view clustering with semantic fusion and contrastive learning. - Hui Yu 011; Hui-Xiang Bian; Zi-Ling Chong; Zun Liu; Jian-Yu Shi (Neurocomputing, 2024)

Identifying the reaction centers of molecule based on dual-view representation. - Hui Yu 011; Jing Wang; Chao Song; Jian-Yu Shi (Knowl. Based Syst., 2024)

Predicting the Imbalanced Impact of Drugs on Microbial Abundance Using Multi-View Learning and Data Augmentation. - Bei Zhu; Haoyang Yu; Bingxue Du; Hui Yu 011; Jianyu Shi (Big Data Min. Anal., 2025)