Lastest Update: 20th Sep 2023.  and mean equal contribution and corresponding author, respectively.

Journal Paper

• Learning knowledge graph embedding with a dual-attention embedding network.
  Haichuan Fang, Youwei Wang, Zhen Tian, Yangdong Ye
  Expert Systems with Applications, 2022.

• GOGCN: Graph Convolutional Network on Gene Ontology for functional similarity analysis of genes.
  Zhen Tian, Haichuan Fang, Zhixia Teng, Yangdong Ye
  IEEE/ACM Transactions on Computational Biology and Bioinformatics, 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 bioinformatics, 2022.

Conference Paper

• SWE: a novel method with semantic-weighted edge for measuring gene functional similarity.
  Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020.

Co-authored Paper

• 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
  Briefings in Bioinformatics, 2022.

• 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 in Bioinformatics, 2022.
  

Master’s Thesis

• 图卷积网络的知识表示学习研究
  Research on Knowledge Representation Learning based on Graph Convolutional Networks
  Haichuan Fang (Supervisor: Prof. Yangdong Ye and Prof. Zhen Tian)