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，生物信息学, 生物医药及营养健康大数据。近年来以第一作者或通讯作者身份在IEEE Transactions on Knowledge and Data Engineering，Pattern Recognition, Bioinformatics，Briefings in Bioinformatics，IEEE/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, 生物医药及营养健康大数据


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, #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. 230: 107377 ()(SCI)
.Yuanyuan Xu#, , , *, , , : Unsupervised Cross-View Feature Selection on incomplete data. Knowledge-Based Systems. 234: 107595 ()(SCI)
.Yuanyuan Xu#, , *: To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer. AAAI 2020: 6534-6541(CCF A会议)
 . Hengpeng Xu#, Yao Zhang, Jinmao 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，字节，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


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