卫金茂:2001年毕业于华东理工大学信息学院,获工学博士学位,2006年于吉林大学计算机科学与技术学院博士后流动站出站。研究方向为机器学习,数据挖掘,智能信息处理,生物信息学。近年来以第一作者或通讯作者身份在IEEE Transactions on Knowledge and Data Engineering,Bioinformatics,Briefings in BioinformaticsIEEE/ACM Transactions on Computational Biology and Bioinformatics, Computational Intelligence, Expert Systems With Applications,BMC Bioinformatics, Neurocomputing, Knowledge Based Systems,Computing and Informatics,Entropy,Natural Language Engineering, International Journal of Data Mining and Bioinformatics 等国内外期刊、AAAI,IJCAI,CIKM,DASFAA等会议上发表60余篇论文,其中SCI(E)/EI/ISTP论文40余篇。参加国家863计划1项,科技部重点研发项目1项,主持国家自然基金2项,主持天津市应用基础及前沿技术研究计划项目3项,曾主持省科技发展计划项目1项,市科技成果产业化项目1项,参加国家自然科学基金2项,省科技发展计划2项。获得发明专利4项,澳大利亚发明专利1项,软件著作权登记4项,获省科技进步三等奖1项。



研究方向
机器学习,数据挖掘,生物信息学


个人履历
2001年毕业于华东理工大学信息学院,获工学博士学位,2006年于吉林大学计算机科学与技术学院博士后流动站出站


撰写论文、专著、教材等

Journal/Conference Papers(selected, #my student first author, *corresponding author. DBLP:Jinmao Wei, Jin-Mao Wei): 

.Yue Su#, #, , Jin-Mao Wei**: Multi-variable AUC for sifting complementary features and its biomedical application. Briefings in Bioinformatics. 23(2) ()(SCI)
.Chang Sun#, *, *:Autoencoder-based drug-target interaction prediction by preserving the consistency of chemical properties and functions of drugs. Bioinformatics. 37(20): 3618-3625 ()(SCI)

.Zhenyu Wang#, *, *: Multi-class feature selection by exploring reliable class correlation. Knowledge-Based Systems. 230107377 ()(SCI)
.Yuanyuan Xu#, *, : Unsupervised Cross-View Feature Selection on incomplete data. Knowledge-Based Systems. 234107595 ()(SCI)
.Yuanyuan Xu#, *: To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer. AAAI 20206534-6541(CCF A会议)
 . Hengpeng Xu
#Yao ZhangJinmao Wei*Zhenglu Yang, Jun Wang: Spatiotemporal-Aware Region Recommendation with Deep Metric Learning. DASFAA (3) 2019: 491-494(CCF B会议)

. Yang Wei#, : Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation. IJCAI 5247-5254(CCF A会议)

.Ya-Fei Liu#*:Word Sense Disambiguation with Massive Contextual Texts. DASFAA(3) 2019: 430-433 (CCF B会议)

. Yang Wei#, Jin-Mao Wei*, Zhenglu Yang. Unsupervised learning of semantic representation for documents with the law of total probability. Natural Language Engineering 24(4): 491-522 (2018)(SCI) 
. Shuai An#, Jun Wang, Jinmao Wei*. Local-nearest-neighbors-based feature weighting for gene selection. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(5): 1538-1548 (2018)(SCI) 
. Yuanyuan Xu#, Jun Wang, Shuai An, Jinmao Wei*, Jianhua Ruan. Semi-supervised multi-label feature selection by preserving feature-label space consistency. CIKM 2018: 783-792(CCF B 会议) 
. Hengpeng Xu#, Jinmao Wei*, Zhenglu Yang, Jianhua Ruan, Jun Wang. Probabilistic topic and role model for information diffusion in social network. PAKDD (2) 2018: 3-15(CCF C 会议) 

. Xuemeng Jiang#, Jun Wang, Jinmao Wei*, Jianhua Ruan, Gang Yu. ANNC: AUC-based feature selection by maximizing nearest neighbor complementarity. PRICAI (1) 2018: 772-785(CCF C 会议) 
. Lei Sun#, Jun Wang, Jinmao Wei*. AVC: Selecting discriminative features on basis of AUC by maximizing variable complementarity. BMC Bioinformatics 18(S-3): 73-89 (2017)(SCI) 
. Shuqin Wang, Jinmao Wei*, Zhenglu Yang. Discrimination structure complementarity-based feature selection. Computational Intelligence 33(4): 863-898 (2017)(SCI) 

. Shuqin Wang, Jinmao Wei. Feature selection based on measurement of ability to classify subproblems. Neurocomputing 224: 155-165 (2017)(SCI) 
. Jun Wang#, Jin-Mao Wei*, Zhenglu Yang, Shu-Qin Wang. Feature selection by maximizing independent classification information. IEEE Transactions on Knowledge and Data Engineering. 29(4): 828-841 (2017)(SCI) 
. Shuai An#, Jun Wang, Jinmao Wei*, Zhenglu Yang. Unsupervised feature selection with joint clustering analysis. CIKM'17.  2017: 1639-1648(CCF B 会议) 
. Jun Wang#, Hengpeng Xu, Jinmao Wei*. Feature selection via vectorizing feature's discriminative information. APWeb'16. 2016: 493-505(CCF C 会议) 

. Jun Wang#, Jinmao Wei*, Zhenglu Yang. Supervised feature selection by preserving class correlation. CIKM'16.  2016: 1613-1622(CCF B 会议) 

. Yang Wei#, Jin-Mao Wei*, Zhenglu Yang, Yu Liu. Joint probability consistent relation analysis for document representation. DASFAA'16. 2016: 517-532(CCF B 会议)

. Yang Wei#, Jinmao Wei*, Zhenglu Yang. Extended strategies for document clustering with word co-occurrences. APWeb'16. 2016: 474-485 (CCF C 会议)

.Yang Wei#, Jinmao Wei*, and Zhenglu Yang. Enriching document representation with the deviations of word co-occurrence frequencies. The 15th International Conference on Algorithms and Architectures for Parallel Processing(ICA3PP'15). 2015: 241-254(CCF C 会议)

. Jun Wang#, Jinmao Wei*, and Lu Zhang. Feature selection method based on feature's classification bias and performance. In Proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP'15). 2015:227-240 (CCF C 会议)

. Jian Li#, Tian Yu and Jin-Mao Wei*. Minimum bayesian error probability-based gene subset selection. International Journal of Data Mining and Bioinformatics. 12: 434-450 (2015) (SCI)

. Tian Yu#, JinMao Wei*. A novel feature measure for fuzzy clustering algorithm on microarray data. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2014: 253-259 (CCF C 会议)

. Tian Yu#, Fei Gao, Han Jin, and JinMao Wei*. Gene selection based on supervised vector representation of genes. PRICAI'14, LNAI 8862. 2014: 834–841 (CCF C 会议)

. Xiao-Ning Wang#,Jin-Mao Wei*,Han Jin,Gang Yu,Hai-Wei Zhang. Probabilistic confusion entropy for evaluating classifiers. Entropy 15(11): 4969-4992 (2013)(SCI) 
. Jin-Mao Wei, Shu-Qin Wang, Xiao-Jie Yuan. Ensemble rough hypercuboid approach for classifying cancers. IEEE Transactions on Knowledge and Data Engineering. 22(3): 381-391 (2010)(SCI) 
. Jin-Mao Wei, Xiao-Jie Yuan, Qing-Hua Hu, Shuqin Wang. A novel measure for evaluating classifiers. Expert Systems with Applications 37(5): 3799-3809 (2010)(SCI) 
. Jin-Mao Wei, Ming-Yang Wang, Jun-Ping You. VPRSM based decision tree classifier. Computing and Informatics 26(6): 663-677(2007)(SCI)  

. Jin-Mao Wei, Shu-Qin Wang, Ming-Yang Wang, Jun-Ping You, Da-You Liu. Rough set based approach for inducing decision trees. Knowledge-Based systems 20(8): 695-702 (2007)(SCI) 
. Jin-Mao Wei, Wei-Guo Yi, Ming-Yang Wang. Novel measurement for mining effective association rules. Knowledge-Based Systems  19(8):739-743(2006)(SCI) 


科研项目、成果、获奖、专利等情况
科研项目(主持): 
1.天津市应用基础与前沿技术研究计划项目,基于结构语义相似性计算的web数据挖掘方法与系统,2010.4~2013.3,项目负责人 
2.国家自然科学基金,粗糙超长方体分类方法研究,2011.1~2013.12,项目负责人 
3. 天津市应用基础与前沿技术研究计划项目,大数据背景下的多维语义特征空间构造及其应用,2014.4~2017.3,项目负责人 
4.国家自然科学基金,基于分类能力结构度量与类相关性关系保留的特征选取方法研究,2018.1~2018.12,项目负责人 

5.天津市自然科学基金,短文本深度处理方法研究,2018.4~2021.3,项目负责人 


专利: 

1.一种基于mvAUC的互补差异表达基因选取方法, 发明专利,2022. 4

2. Drug target prediction method for keeping consistancy of chemical properties and functins of drugs,国际专利,2021. 9

3.基于扩展邻接矩阵的XML文档结构及语义相似性计算方法,发明专利,2010. 3 

4.基于聚合加权矩阵压缩算法的文本语义表示方法,发明专利,2014. 12 


著作权: 
基于Hadoop平台的XML结构相似性计算系统,软件著作权,2012. 7


讲授课程
计算机算法设计与分析(硕士)
机器学习(本科)
汇编语言程序设计(本科)



学生
就业去向

华为,阿里,百度,腾讯,微软,IBM,京东,滴滴

中国建行,中国农行,天津银行,招商银行,光大银行

以及高校

优秀毕业生

博士生:王珺(南开校优秀博士生)

硕士生:孙蕾(校优秀硕士生),安帅(校优秀硕士生),徐园园(校优秀硕士生)




联系方式
Tel:(NA)
E-mail:weijm[at]nankai.edu.cn