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  • 李政伟

    的个人主页 http://faculty.cumt.edu.cn/zwli/zh_CN/index.htm

个人简介

        李政伟,男,博士,正高级工程师,研究生导师,同济大学博士后,通过软件设计师和系统分析师认证(全国前25名),入选江苏省高层次创新创业人才引进计划(简称双创计划)和中国矿业大学优秀青年骨干教师。加拿大访学期间与国际著名计算系统生物学专家Edwin Wang教授合作。

       目前主要工作集中在利用深度学习、统计学习、推荐系统等技术在生物、医学领域以及工业计算机视觉领域进行探索和研究。主持国家自然科学基金面上项目1项,江苏省双创计划项目1项 ,江苏省博士后科研计划1项,中国矿业大学青年科研基金项目1项,作为骨干成员参与加拿大国家卫生研究院基金项目1项,国家自然科学基金重点项目1项,国家自然科学基金面上项目2项,主持和参与企业委托项目20余项。在IEEE-ACM Transactions on Computational Biology and Bioinformatics、Molecular Therapy、Briefings in Bioinformatics、Scientific Reports、电子学报等国内外重要期刊和会议上发表学术论文60余篇,其中50余篇被SCI、EI检索,7篇影响因子大于10,单篇最高引用317次,拥有软件著作权10项,出版专著1部。

       现为中国生物信息学会生物医学数据挖掘与计算专委会委员,江苏省生物信息学会专委会委员,中国计算机学会会员,中国人工智能学会会员,中国工业与应用数学学会会员,担任IEEE/ACM Transactions on Computational Biology and Bioinformatics、PLoS Computational Biology、Briefings in Bioinformatics、Molecular Therapy、Neural Networks、BMC bioinformatics等SCI国际期刊审稿专家。

       先后讲授《高级语言程序设计》、《计算机组成原理》、《计算机系统结构》、《编译技术》、《数据库应用》、《机器学习》、《Python Programming》(全英文)、《New Technology of Computer》(全英文)、《New Technology of Big Data》(全英文)、《生物信息学》(研究生)和《大数据分析与应用》(研究生)等课程。近年来出版教材2部,主持校级教改项目2项,参与省级和校级教改项目4项,指导大学生创新创业训练项目7项,先后荣获淮海科学技术二等奖、煤炭工业协会教育教学成果奖三等奖、中国矿业大学科技进步二等奖、优秀教学质量一等奖、百佳本科教学教师、优秀本科毕业设计指导教师、优秀班主任、模范班主任等荣誉。

       欢迎对科研有浓厚兴趣、勤奋踏实、具有自主学习意识的同学报考,同时欢迎优秀本科生实习!


部分期刊和会议论文列表:

 

[1] Tang-Bo Zhong, Zheng-Wei Li(李政伟、通讯作者), Zhu-Hong You, Ru Nie, Huan Zhao. Predicting miRNA-disease associations based on graph random propagation network and attention network[J]. Briefings in Bioinformatics. 2022, 23(2): bbab589. (SCI, 影响因子13.994, 数学与计算生物学中科院1区, 生化研究方法中科院1区, JCR 1区)

 

[2] 李政伟, 李佳树, 尤著宏, 聂茹, 赵欢, 钟堂波. 基于异质图注意力网络的miRNA与疾病关联预测算法. 电子学报, 2022, 50(6): 1428-1435.(EI中文高水平期刊 CCF A类推荐)


[3] Huan Zhao, Zheng-Wei Li(李政伟、通讯作者), Zhu-Hong You, Ru Nie, Tang-Bo Zhong. Predicting miRNA-disease Associations based on Neighbor Selection Graph Attention Networks. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2022, (SCI, IF: 3.71, 10.1109/TCBB.2022.3196394)

 

[4] Zheng-Wei Li(李政伟), Jia-Shu Li, Ru Nie, Zhu-Hong You, Wen-Zheng Bao. GAEMDA: A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction. Briefings in Bioinformatics, 2021, 22(4) bbaa240 (SCI, 影响因子13.994, 数学与计算生物学中科院1区, 生化研究方法中科院1区, JCR 1区) 

 

[5] Ru Nie, Zheng-Wei Li(李政伟、通讯作者), Zhu-Hong You, Wen-Zheng Bao, Jia-Shu Li. Efficient framework for predicting miRNA-disease associations based on improved hybrid collaborative filtering [J]. BMC Medical Informatics and Decision Making, 2021, 21(S1): 254. (SCI,  影响因子3.242) 

 

[6] Bai-Long Liu, Xiao-Yan Zhu, Lei Zhang, Zhi-Zheng Liang, Zheng-Wei Li(李政伟、通讯作者). Combined Embedding Model for MiRNA-Disease Association Prediction [J]. BMC Bioinformatics, 2021, 22, 161. (SCI, 影响因子3.242, 数学与计算生物学中科院2区, JCR 1区) 

 

[7] Lei Zhang, Bai-Long Liu*, Zheng-Wei Li(李政伟、通讯作者), Xiao-Yan Zhu, Zhi-Zhen Liang, Ji-Yong An. Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model. BMC Bioinformatics, 2020, 21, 470 (SCI, 影响因子3.242, 数学与计算生物学中科院2区, JCR 1区) 

 

[8] Jia-Shu Li, Zheng-Wei Li(李政伟、通讯作者), Ru Nie, Zhu-Hong You, Wen-Zheng Bao. FCGCNMDA: Predicting MiRNA-Disease Associations by Apply-ing Fully Connected Graph Convolutional Networks. Molecular Genetics and Genomics, 2020, 295(5):1197-1209 (SCI, 影响因子2.797) 

 

[9] Zheng-Wei Li(李政伟), Ru Nie, Zhu-Hong You, Chen Cao, Jia-Shu Li. Using Discriminative Vector Machine Model with 2DPCA to Predict Interactions among Proteins. BMC Bioinformatics, 2019, 20 (S25): 694. (SCI, 影响因子3.242, 数学与计算生物学中科院2区, JCR 1区) 

 

[10] Zheng-Wei Li(李政伟), Ru Nie, Zhu-HongYou, Yan Zhao, Xin Ge, Yang Wang. LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction. Proceedings of the 15th International Conference on Intelligent Computing, Lecture Notes in Computer Sciences, 2019, 283-293 (EI)

 

[11] Zheng-Wei Li(李政伟), Zhu-Hong You, Xing Chen, Ru Nie and An Jiyong. In silico prediction of drug-target interaction networks based on drug topological structure and protein sequences. Scientific Reports. 2017, 9: 2045-2322 (SCI, 影响因子 4.259 , 综合性期刊大类中科院2区, JCR 1区)

 

[12] Zheng-Wei Li(李政伟), Zhu-Hong You, Xing Chen, De-Shuang Huang, Gui-Ying Yan, Ru Nie and Yu-An Huang. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier. Oncotarget. 2017, 8(14):23638-23649 (SCI, 影响因子 5.168 , 医学大类中科院1区, JCR 1区)

 

[13] Zheng-Wei Li(李政伟), Zhu-Hong You, Xing Chen, Jie Gui and Ru Nie. Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristics. International Journal of Molecular Sciences. 2016, 17(9):1396-1407 (SCI, 影响因子4.183, 生物大类中科院2区, JCR2区)

 

[14] Zheng-Tao Zhang, Peng-Yong Han, Zheng-Wei Li(李政伟、通讯作者), Ru Nie, Qian-Qun Wang. Prediction of MiRNA-Disease Association based on Higher-Order Graph Convolutional Networks. ICIC 2022. (EI)

 

[15] Feng Chang, Zhen-Qiong Chen, Cai-Xia Xu, Hai-Lei Liu, Peng-Yong Han, Zheng-Wei Li(李政伟、通讯作者). Bioinformatic analysis of clear cell renal carcinoma via ATAC-seq and RNA-seq. Proceedings of the 18th International Conference on Intelligent Computing, Lecture Notes in Computer Sciences 2022. (EI)

 

[16] Han-Yuan Zhang, Lei Wang, Zhu-Hong You, Lun Hu, Bo-Wei Zhao, Zheng-Wei Li(李政伟), Yang-Ming Li. iGRLCDA: identifying circRNA-disease association based on graph representation learning. Briefings in Bioinformatics. 2022. 23(3): bbac083. (SCI, 影响因子13.994, 数学与计算生物学中科院1区, 生化研究方法中科院1区, JCR 1区)

 

[17] Hao-Yuan Li, Zhu-Hong You, Lei Wang, Xin Yan, Zheng-Wei Li(李政伟). DF-MDA: An effective diffusion-based computational model for predicting miRNA-disease association [J]. Molecular Therapy, 2021. (SCI, 影响因子12.91, 中科院1一区, JCR一区) 

 

[18] Bo-Ya Ji, Zhu-Hong You, Yi Wang, Zheng-Wei Li(李政伟), Leon Wong. DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding [J]. iScience, 2021, 24(6):102455. (SCI, 影响因子5.458)  

 

[19] Jia Qu, Xing Chen, Jun Yin, Yan Zhao, Zheng-Wei Li(李政伟). Prediction of potential miRNA-disease associations using matrix decomposition and label propagation. Knowledge-Based Systems. 2019, 186 (SCI, 影响因子 5.101, 工程技术大类中科院2区, 计算机:人工智能小类中科院二区,JCR 1区)

 

[20] Zhu-Hong You, Zhi-An Huang, Zexuan Zhu, Gui-Ying Yan, Zheng-Wei Li(李政伟), Zhenkun Wen, Xing Chen. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLOS computational biology. 2017, 13(3): 1553-7358 (SCI, 影响因子 4.542, 数学与计算生物学中科院1区, JCR 1区)

社会兼职
    [1].

    中国生物信息学会生物医学数据挖掘与计算专业委员会委员

    [2].

    江苏省生物信息学会委员

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