唐贤方

研究方向：

医学图像分割，癌症复发转移预测，药物靶标，药物疾病关联预测。

工作经历：

(1) 2022.8-至今, 武汉纺织大学, 计算机与人工智能学院, 讲师

(2) 2025.6-至今，铜陵市人民医院，在职博士后

科研成果

[1] Xianfang Tang, Jincan Li, Qianrui Liu et. al. SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation[J]. IEEE Journal of Biomedical and Health Informatics. 2025, 29(5): 3609-3618.

[2] Xianfang Tang, Chang Zhou, Changcheng Lu et. al. Enhancing Drug Repositioning through Local Interactive Learning with Bilinear Attention Networks[J]. IEEE journal of biomedical and health informatics. 2025, 29(3): 1644-1655.

[3] Xianfang Tang, Zhe Shi, Min Jin. Multi-category multi-state information ensemble-based classification method for precise diagnosis of three cancers[J]. Neural Computing and Applications, 2021, 33(22): 15901-15917.

[4] Qihui Zheng, Xianfang Tang, Yajie Meng et. al. 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).（并列一作）

[5] Xianfang Tang, Lijun Cai, Yajie Meng et. al. Indicator regularized non-negative matrix factorization method-based drug repurposing for COVID-19[J]. Frontiers in Immunology, 2021, 11: 603615.

[6] Xianfang Tang, Yawen Hou, Yajie Meng, Zhaojing Wang, Changcheng Lu, Juan Lv, Xinrong Hu, Junlin Xu, Jialiang Yang. "CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction [J]". BMC Bioinformatics, 2025, 26:5.

项目：

企业横向项目，小分子RNA与癌症关联关系预测的研究，主持

国家自然科学基金委员会, 面上项目, 62572401, 基于多模态数据的癌症分析方法研究, 2026-01-01 至 2029-12-31, 50万元, 在研, 参与

基于多源异构数据的药物靶标关联预测，海南省计算科学与应用重点实验开放课题，纵20250126，主持。