Lecturer
Supervisor of Master's Candidates
Date of Employment:2020-09-09
School/Department:Computer Science and Engineering
Education Level:With Certificate of Graduation for Doctorate Study
Business Address:中南大学新校区信息大楼429
Contact Information:zengmin@csu.edu.cn
Degree:Doctoral Degree in Engineering
Alma Mater:中南大学
Discipline:Computer Science and Technology
曾敏，男，1990年6月生，于2013年获得兰州大学电子信息科学与技术学士学位；2016年，2020年分别获得中南大学系统科学硕士学位和计算机科学与技术博士学位。于2020年9月入职中南大学计算机学院。主要研究方向是生物信息学，研究工作集中在利用和开发人工智能方法对生物信息学中的交叉前沿和热点问题进行探索和研究，包括生物序列分析、蛋白质相互作用及蛋白质功能预测、疾病相关预测、医疗大数据分析等，目前在Bioinformatics、Briefings in Bioinformatics等国际期刊和会议上发表学术论文30余篇。担任CCF-B类推荐会议BIBM、CCF-C类推荐会议ISBRA的程序委员会成员。同时担任Briefings in Bioinformatics、BMC Bioinformatics等多个期刊审稿人。主持国家自然科学基金青年项目1项，参与国家自然科学基金区域创新发展联合基金（安徽）重点项目1项，国家自然科学基金面上项目2项，国家自然科学青年项目1项。
【硕士招生】
每年招收2-3名硕士研究生，欢迎对人工智能、机器学习、深度学习、生物信息学感兴趣的同学与我联系（邮箱：zengmin@csu.edu.cn）。
我的英文个人主页为https://minzeng1990.github.io/
发表论文详细列表，请见谷歌学术https://scholar.google.com.hk/citations?hl=zh-CN&user=Q6b80i8AAAAJ （如果打不开谷歌，可以用以下镜像网址：https://sc.panda321.com/citations?user=Q6b80i8AAAAJ&hl=zh-CN&oi=ao）
部分代表性论文
[1] Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li*, “Protein–protein interaction site prediction through combining local and global features with deep neural networks,” Bioinformatics, 36 (4), 1114-1120, 2020. [PDF] [Code]
[2] Min Zeng, Min Li*, Zhihui Fei, Ying Yu, Yi Pan, Jianxin Wang, “Automatic ICD-9 coding via deep transfer learning,” Neurocomputing, 324, 43-50, 2019. [PDF]
[3] Min Zeng, Min Li*, Fang-Xiang Wu, Yaohang Li, Yi Pan, “DeepEP: a deep learning framework for identifying essential proteins,” BMC Bioinformatics, 20 (16), 506, 2019. [PDF] [Code]
[4] Min Zeng, Min Li*, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang, “A deep learning framework for identifying essential proteins by integrating multiple types of biological information,” IEEE/ACM transactions on computational biology and bioinformatics (IEEE TCBB), DOI: 10.1109/TCBB.2019.2897679. [PDF] [Code]
[5] Min Zeng, Chengqian Lu, Fuhao Zhang, Yiming Li, Fang-Xiang Wu, Yaohang Li, Min Li*, “SDLDA: lncRNA–disease association prediction based on singular value decomposition and deep learning,” Methods, DOI: 10.1016/j.ymeth.2020.05.002. [PDF] [Code]
[6] Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li*, “DMFLDA: A deep learning framework for predicting lncRNA–disease associations,” IEEE/ACM transactions on computational biology and bioinformatics (IEEE TCBB), DOI: 10.1109/TCBB.2020.2983958. [PDF] [Code]
[7] Min Zeng, Min Li*, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, “A deep learning framework for identifying essential proteins based on protein-protein interaction network and gene expression data,” 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 583-588. [PDF]
[8] Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li*, “LncRNA–disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques,” 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 577-582. [PDF] [Code]
