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李政伟

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  • School/Department:计算机科学与技术学院
  • Contact Information:13813451993
  • Degree:Doctor
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李政伟,男,博士,副教授,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(TCBB)、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,8篇影响因子大于10,单篇最高引用300余次,获得软件著作权10余项,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、Bioinformatics、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》、《数据结构》、《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5项,指导大学生创新创业训练项目8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!


近期项目列表:

[1] 国家自然科学基金面上项目,61873270,基于多源异构数据融合的miRNA与疾病高精度关联预测研究,已结题,主持

[2] 江苏省高层次创新创业人才引进计划(“双创计划”)(企业博士后),基于机器学习的miRNA与人类复杂疾病关联预测研究,已结题,主持

[3] 江苏省博士后科研资助计划,1701031C,多视角 microRNA 与人类复杂疾病关联预测模型构建与分析,已结题,主持

[4] 企业委托项目, 2022120008,矿山环形车场图像识别及控制技术研发,  在研,主持

[5] 加拿大国家卫生研究院基金项目,Predicting of breast cancer risk by integrating genomic, immunological and lifestyle factors,合作单位:加拿大卡尔加里大学附属foothills医院,已结题,骨干成员

[6] 国家自然科学基金重点项目,61732012,基因组非编码区变异与转录因子调控关系的计算分析方法研究,已结题,第2参与人

[7] 国家自然科学基金面上项目,61772531,多视角识别长非编码RNA和人类复杂疾病关联预测研究,已结题,第2参与人

[8] 国家自然科学基金面上项目,61972399,基于多源数据融合的药物响应和药物相关非编码RNA靶点预测研究,在研,第1参与人


近期论文列表: 

[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, 中科院1TOPJCR 1区,影响因子: 13.994) 

[2] Kai Zheng, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Bo-Ya Ji, Xiao Liang, Zheng-Wei Li(李政伟,通讯作者). SPRDA: a link prediction approach based on the structural perturbation to inter disease-associated Piwi-Interacting RNAs [J]. Briefings in Bioinformatics, 2022, Accepted. (SCI, 中科院1TOPJCR 1区,影响因子: 13.994)

[3]  Zheng-Wei Li(李政伟), Tang-Bo Zhong, De-Shuang Huang, Zhu-Hong You, Ru Nie. Hierarchical graph attention network for miRNA-disease association prediction [J]. Molecular Therapy, 202230(4): 1775-1786. (SCI, 中科院1TOPJCR 1区,影响因子: 12.910) 

[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 [J]. Briefings in Bioinformatics, 2021, 22(4) bbaa240 ((SCI, 中科院1TOPJCR 1区,影响因子: 13.994 

[5] Zheng-Wei Li(李政伟, Qian-Kun Wang, Chang-An Yuan, Peng-Yong Han, Zhu-Hong You, Lei Wang. Predicting MiRNA-disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks [J]. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 2022, Early Access. (SCI, 中科院2区,JCR 2区,影响因子: 3.702CCF-B) 

[6] 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 [J]电子学报, 2022, 50(6): 1428-1435.(EI中文高水平期刊 CCF A类推荐) 

[7] 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 [J]. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2022, (SCI, 中科院2区,JCR 2区,影响因子: 3.702CCF-B, 10.1109/TCBB.2022.3196394)  

[8] Jing Li, Chen Zhang, Zheng-Wei Li(李政伟,通讯作者), Ru Nie, Peng-Yong Han, Wen-Jia Yang, Hong-Mei Liao. GCMCDTI: graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion [J]. Journal of Bioinformatics and Computational Biology. 2022, 20(5): 2250023. (SCI, 影响因子:1.204) 

[9] 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 

[10] 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, 中科院小类2, JCR 2, 影响因子3.242 

[11] 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 [J]. BMC Bioinformatics, 2020, 21, 470 (SCI, 中科院小类2, JCR 2, 影响因子3.242 

[12] 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 [J]. Molecular Genetics and Genomics, 2020, 295(5):1197-1209 (SCI, 影响因子2.797 

[13] 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 [J]. BMC Bioinformatics, 2019, 20 (S25): 694. (SCI,中科院小类2, JCR 2影响因子3.242 

[14] 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 [C]. Proceedings of the 15th International Conference on Intelligent Computing, Lecture Notes in Computer Sciences, 2019, 283-293 (EI) 

[15] 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 [J]. Scientific Reports. 2017, 9: 2045-2322 (SC , 中科院2, JCR 2I, 影响因子 4.259) 

[16] 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 [J]. Oncotarget. 2017, 8(14):23638-23649 (SCI, 中科院1, JCR 1, 影响因子 5.168 ) 

[17] 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 [J]. International Journal of Molecular Sciences. 2016, 17(9):1396-1407 (SCI, 中科院2, JCR1, 影响因子4.183) 

[18] 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 [C]. ICIC 2022. (EI) 

[19] 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 [C], Lecture Notes in Computer Sciences 2022. (EI) 

[20] Lei Wang, Leon Wong, Zheng-Wei Li(李政伟), Yu-An Huang, Xiao-Rui Su, Bo-Wei Zhao, Zhu-Hong You. A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction [J]. Briefings in Bioinformatics, 2022, 23(5): bbac388. (SCI, 中科院1区,JCR 1, 影响因子: 13.994) 

[21] 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 [J]. Briefings in Bioinformatics. 2022. 23(3): bbac083. (中科院1TOPJCR 1区,影响因子: 13.994) 

[22] 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, 中科院1, JCR 1, 影响因子12.910 

[23] Kai Zheng, Zhu-Hong You, lei Wang, Yong Zhou, Li-Ping Li, Zheng-Wei Li(李政伟). DBMDA: A Unified Embedding for Sequence-Based miRNA Similarity Measure with Applications to Predict and Validate miRNA-Disease Associations [J]. Molecular Therapy-Nucleic Acids, 2020,19: 602-611. (SCI, 中科院2区,JCR 1, 影响因子: 10.182) 

[24] 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, 中科院2区,JCR 1区,影响因子5.458)   

[25] 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 [J]. Knowledge-Based Systems. 2019, 186 (SCI, 中科院1区,JCR 1, 影响因子 8.139) 

[26] 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 [J]. PLOS computational biology. 2017, 13(3): 1553-7358 (SCI, 中科院1, JCR 1, 影响因子 4.542)

[27] Kai Zheng, Zhu-Hong You, Lei Wang, Yong Zhou, Li-Ping Li, Zheng-Wei Li(李政伟). MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sources [J]. Journal of Translational Medicine. 2019,17(1):260.  (SCI, 中科院2区,JCR 2区,影响因子: 5.531 )

[28] Zhu-Hong You, Luo-Pin Wang, Xing Chen, Shan-Wen Zhang, Xiao-Fang Li, Gui-Ying Yan, Zheng-Wei Li(李政伟). PRMDA: Personalized Recommendation-based MiRNA-Disease Association prediction [J]. Oncotarget. 2017, 8(49): 85568-85583.  (SCI, 中科院1区,JCR 1区,影响因子: 5.168)

[29] Wen-Zheng Bao, Bin Yang, Zheng-Wei Li(李政伟), Yong Zhou. LAIPT: Lysine Acetylation Site Identification with Polynomial Tree. International Journal of Molecular Sciences. 2018, 20(1):113.  (SCI, 中科院2区,JCR 1区,影响因子: 5.923)

[30] Xing Chen,Yao Gong, De-Hong Zhang, Zhu-Hong You, Zheng-Wei Li(李政伟). DRMDA: Deep Representations-based MiRNA-Disease Association prediction [J]. Journal of Cellular and Molecular Medicine. 2018, 22(1):472-485.  (SCI, 中科院2区,JCR 2区,影响因子: 5.310 )


获奖:

1] 优秀教学质量一等奖,中国矿业大学 

[2] 青年教师讲课比赛二等奖,计算机学院 

[3] 计算机专业软件方向系列课程教学改革研究与实践,优秀教学成果三等奖,中国矿业大学 

[4] 第七批优秀青年骨干教师,中国矿业大学 

[5] 优秀本科毕业设计指导教师,中国矿业大学 

[6]  C/C++高级语言程序设计创新实践教学,优秀教学成果三等奖,中国矿业大学 

[7] 《高级语言程序设计》教案,教案比赛二等奖,计算机学院 

[8] 第二届百佳本科教学教师,中国矿业大学 

[9] 优秀班主任,中国矿业大学 

[10] 模范班主任,中国矿业大学 

[11] 大学生计算机程序设计创新实践能力培养体系建设,教育教学成果奖三等奖,中国煤炭协会 

[12] 2016,优秀教职工,中国矿业大学 

[13] 2017,“双创计划”企业博士后,江苏省 

[14] 2019,第九届江苏省生物信息学学术会议暨生物医学大数据论坛青年学者优秀报告三等奖 

[15] 2020,优秀教职工,中国矿业大学

[16] 2022,淮海科技进步二等奖

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  • 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

  • 江苏省生物信息学会委员

Name of Research Group:计算机视觉与数据挖掘创新团队

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