唐賢方，男，1992年4月生，講師，工學博士，碩士生導師。2022年6月博士畢業於湖南大學k8凯发国际科學與技術專業。

郵箱：xftang@hzyuandun.com

1.主要研究方向:AI藥物預測，圖像分割

2.教學、科研項目

(1)2024年校級教學研究項目：新工科背景下「教學+場景」結合的C語言課程創新研究

(2)2024年校基金：基於關聯網絡的跨模態融合下的結直腸癌復發轉移預測模型研究

(3)2022年校企項目：小分子RNA與癌症關聯關係預測的研究

3.論文與專利

[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 一區，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 一區, 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 一區, 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 二區）

[6] Indicator regularized non-negative matrix factorization method-based drug repurposing for COVID-19 [J]. Frontiers in Immunology, 2021.