唐贤方，男，1992 年 4 月生，讲师，工学博士，硕士生导师。2014年6月毕业于邵阳学院信息工程系，获工学学士学位；2022年6月毕业于湖南大学信息科学与工程学院计算机科学与技术专业，获工学博士学位。
邮箱：xftang@wtu.edu.cn
1.主要研究方向:
机器学习、药物重定位、疾病诊断
2.教学、科研项目：
参与国家自然科学基金面上项目一项，参与湖南省研究生科研创新项目
3.论文与专利：
1.Xianfang Tang, Lijun Cai, Yajie Meng, JunLin Xu, Changcheng Lu and Jialiang Yang. Indicator regularized non-negative matrix factorization method-based drug repurposing for COVID-19[J]. Frontiers in Immunology, 2021, 11: 603615.
2.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.
3.Xianfang Tang, Lijun Cai, Yajie Meng, Changlong Gu, Jialiang Yang, Jiasheng Yang. A novel hybrid feature selection and ensemble learning framework for unbalanced cancer data diagnosis with transcriptome and functional proteomic[J]. IEEE Access, 2021, 9: 51659-51668.
4. Yajie Meng, Min Jin,Xianfang Tang, Junlin Xu. Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study[J]. Applied soft computing, 2021, 103: 107135.
5. Yajie Meng, Min Jinl;Xianfang Tang, Junlin Xu. Degree-based similarity indexes for identifying potential miRNA-disease associations[J]. IEEE Access, 2020, 8: 133170-133179.
6. Junlin Xu, Yajie Meng, Lihong Peng, Lijun Cai,Xianfang Tang, Yuebin Liang, Geng Tian, Jialiang Yang. Computational drug repositioning using similarity constrained weight regularization matrix factorization: A case of COVID‐19[J]. Journal of Cellular and Molecular Medicine, 2022, 26(13): 3772-3782.