Hui Yu

According to our database, Hui Yu authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Identifying the reaction centers of molecule based on dual-view representation.

Hui Yu, Jing Wang, Chao Song, Jian-Yu Shi

Knowl. Based Syst., 2024

Multi-view clustering with semantic fusion and contrastive learning.

Hui Yu, Hui-Xiang Bian, Zi-Ling Chong, Zun Liu, Jian-Yu Shi

Neurocomputing, 2024

GGI-DDI: Identification for key molecular substructures by granule learning to interpret predicted drug-drug interactions.

Hui Yu, Jing Wang, Shi-Yu Zhao, Omayo Silver, Zun Liu, JingTao Yao, Jian-Yu Shi

Expert Syst. Appl., 2024

Prediction of drug-target binding affinity based on multi-scale feature fusion.

Hui Yu, Wen-Xin Xu, Tian Tan, Zun Liu, Jian-Yu Shi

Comput. Biol. Medicine, 2024

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, Jian-Yu Shi

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

Data Augmentation Generated by Generative Adversarial Network for Small Sample Datasets Clustering.

Hui Yu, Qiao Feng Wang, Jian Yu Shi

Neural Process. Lett., December, 2023

Attention-based cross domain graph neural network for prediction of drug-drug interactions.

Hui Yu, Kangkang Li, Wenmin Dong, Shuanghong Song, Chen Gao, Jianyu Shi

Briefings Bioinform., July, 2023

DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction.

Hui Yu, KangKang Li, Jianyu Shi

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

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, Jian-Yu Shi

Proceedings of the Research in Computational Molecular Biology, 2023

2022

RANEDDI: Relation-aware network embedding for drug-drug interaction prediction.

Hui Yu, Wenmin Dong, Jianyu Shi

Inf. Sci., 2022

Predict multi-type drug-drug interactions in cold start scenario.

Zun Liu, Xing-Nan Wang, Hui Yu, Jian-Yu Shi, Wenmin Dong

BMC Bioinform., 2022

STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions.

Hui Yu, Shiyu Zhao, Jianyu Shi

Briefings Bioinform., 2022

Drug-drug interaction prediction with learnable size-adaptive molecular substructures.

Arnold K. Nyamabo, Hui Yu, Zun Liu, Jian-Yu Shi

Briefings Bioinform., 2022

Directed graph attention networks for predicting asymmetric drug-drug interactions.

Yi-Yang Feng, Hui Yu, Yue-Hua Feng, Jian-Yu Shi

Briefings Bioinform., 2022

2021

A three-way density peak clustering method based on evidence theory.

Hui Yu, Luyuan Chen, Jingtao Yao

Knowl. Based Syst., 2021

SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction.

Arnold K. Nyamabo, Hui Yu, Jian-Yu Shi

Briefings Bioinform., 2021

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, Siu-Ming Yiu

J. Cheminformatics, 2019

Emergency Alternative Selection Based on an E-IFWA Approach.

Luyuan Chen, Hui Yu

IEEE Access, 2019

2018

Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization.

Hui Yu, Kui-Tao Mao, Jian-Yu Shi, Hua Huang, Zhi Chen, Kai Dong, Siu-Ming Yiu

BMC Syst. Biol., 2018

2017

Identifying Top-K Important Nodes Based on Probabilistic-Jumping Random Walk in Complex Networks.

Hui Yu, Luyuan Chen, Xi Cao, Zun Liu, Yongjun Li

Proceedings of the Complex Networks & Their Applications VI, 2017