唐贤方，男，1992年4月生，讲师，工学博士，硕士生导师。2022年6月博士毕业于湖南大学计算机科学与技术专业。
邮箱：xftang@wtu.edu.cn
1.主要研究方向:AI药物预测，图像分割
2.教学、科研项目
(1)2024年校级教学研究项目：新工科背景下“教学+场景”结合的C语言课程创新研究
(2)2024年校基金：基于关联网络的跨模态融合下的结直肠癌复发转移预测模型研究
(3)2022年校企项目：小分子RNA与癌症关联关系预测的研究
3.论文与专利
[1]"Enhancing drug repositioning through local interactive learning with bilinear attention networks." IEEE Journal of Biomedical and Health Informatics (2023).
[2]"Multi-category multi-state information ensemble-based classification method for precise diagnosis of three cancers", Neural Computing and Applications, 2021, 33(22): 15901-15917
[3]"Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19", Frontiers in Immunology, 2021, 11
[4]"Drug repositioning based on tripartite cross-network embedding and graph convolutional network". Expert Systems with Applications, 2024, 252: 124152.