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 [J]. IEEE journal of biomedical and health informatics, 2023. (中科院SCI 一区，Top期刊)
[2] PDGCL-DTI: Parallel Dual-channel Graph Contrastive Learning for Drug-Target Binding Prediction in Heterogeneous Networks [J]. IEEE Journal of Biomedical and Health Informatics, 2024.(中科院SCI 一区, Top期刊)
[3] SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation [J]. IEEE Journal of Biomedical and Health Informatics, 2024.(中科院SCI 一区, Top期刊)
[4] CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction [J]. BMC Bioinformatics, 2025, 26:5.
[5] Multi-category multi-state information ensemble-based classification method for precise diagnosis of three cancers[J]. Neural Computing and Applications, 2021.（中科院SCI 二区）
[6] Indicator regularized non-negative matrix factorization method-based drug repurposing for COVID-19 [J]. Frontiers in Immunology, 2021.