SWE: a novel method with semantic-weighted edge for measuring gene functional similarity. - Zhen Tian; Haichuan Fang; Yangdong Ye; Zhenfeng Zhu (BIBM, 2020)

MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms. - Zhen Tian; Xiangyu Peng; Haichuan Fang; Wenjie Zhang; Qiguo Dai; Yangdong Ye (Briefings Bioinform., 2022)

A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology. - Zhen Tian; Haichuan Fang; Yangdong Ye; Zhenfeng Zhu (BMC Bioinform., 2022)

Learning knowledge graph embedding with a dual-attention embedding network. - Haichuan Fang; Youwei Wang; Zhen Tian; Yangdong Ye (Expert Syst. Appl., 2023)

GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes. - Zhen Tian; Haichuan Fang; Zhixia Teng; Yangdong Ye (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Predicting microbe-drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy. - Zhen Tian; Yue Yu; Haichuan Fang; Weixin Xie; Maozu Guo 001 (Briefings Bioinform., 2023)

STF2: A novel spatial-temporal feature fusion method for aero-engine remaining useful life prediction. - Yulin Du; Haichuan Fang; Hongfu Zuo; Xincan Zhao (Expert Syst. Appl., 2025)

Meta-collaboration-based semantic contrast for inductive knowledge representation learning. - Haichuan Fang; Kexin Cheng; Ruixin Zhang; Youwei Wang; Yangdong Ye (Expert Syst. Appl., 2025)

Knowledge-refined information bottleneck for contrastive recommendation. - Qiang Guo 012; Bin Wu 019; Zhongchuan Sun; Haichuan Fang; Yangdong Ye (Expert Syst. Appl., 2025)

Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction. - Youwei Wang; Peisong Cao; Haichuan Fang; Yangdong Ye (Neural Networks, 2025)