教育、工作经历2016.4～至今? ? 上海海事大学，信息工程学院计算机系，讲师
2015.4～2016.3 韩国忠北国立大学 韩-德干细胞再生医学国际联合研究所Database/Bioinformatics研究室 （博士后研究员）
2015.3～2015.6 韩国忠北国立大学 （讲师）课程：《基于互联网的软件开发—HTML5，CSS3，JavaScript》、《基础编程语言—C语言》等
2010.3～2015.2 韩国忠北国立大学电子信息学院计算机科学专业（获工学博士学位）
2008.3～2010.2 韩国忠北国立大学电子信息学院生物信息学专业 （获工学硕士学位）
研修2009 俄罗斯莫斯科大学脑波实验室
2010 新加坡南洋大学Bioinformatics Center
研究方向Big data mining (大数据挖掘), Text mining (文本挖掘), Bioinformatics (生物信息学), Artificial intelligence (人工智能), Web data mining (网络数据挖掘) 等
研究课题主持及参与四项国家自然科学基金项目，主导开发四个“韩国NIH疾病管理本部”生物信息科学项目，并参与开发三个韩国国家项目。
国家自然科学基金，**，大数据环境下基于生物医学本体的文献无监督分类方法研究，2018/01-2020/12，在研，主持
国家自然科学基金（中-韩国际合作交流项目），，大数据环境下生物医学文本信息实时采集架构及文本深度向量聚类方法研究，2019/7-2021/6，在研，主持
国家自然科学基金，**，复杂网络二类幂律演化机制及其在fMRI脑网络疾病检测中的应用，2018/01-2020/12，在研，参与
国家自然科学基金， **，基于fMRI-GCM的海员脑功能有效连接监测及应用研究，2019/01-2022/12, 在研，参与
Improvement and implement of text mining algorithm based on biological network (基于生物网络的文本挖掘算法的改进及实现)?2013.03 – 2013.12 (Korea Centers for Disease Control and Prevention)
Development of RNA-Seq count data simulator and analysis comparatively normalization methods from RNA-Seq data (基于RNA测序的基因表达量推算算法的比较、分析及工具开发)?2013.03 – 2013.12 (Korea Centers for Disease Control and Prevention)
Study on genetic information extraction algorithm using Bio-text mining (基于生物医学文本挖掘的生物学信息提取算法的研究)?2012.03 – 2012.12 (Korea Centers for Disease Control and Prevention)
Development of Biomedical Literature Mining System(生物医学文献挖掘系统的开发)?2011.02 – 2011.12 (Korea Centers for Disease Control and Prevention)
Self-organizing knowledge evolution technology for personalized medicine(个人特化医疗的自组知识进化技术的开发)?2008.03 – 2015.02 (National Research Foundation of Korea)
Big data analysis for smart life care service (基于智能空间大数据的智能生活服务)?2013.01 – 2014.12 (National Research Foundation of Korea)
Automatic cardiovascular disease diagnostic system (生物信息及疾病诊断系统开发)?2008.03 – 2011.01 (National Research Foundation of Korea)
发表文章发表过60篇国际期刊、会议论文，7篇韩国核心会议论文。其中6篇SCI检索，18篇EI检索期刊及会议论文，3篇Scopus检索期刊论文。
Meijing Li, Xiuming Yu, Keun Ho Ryu, Sanghyuk Lee*，Nipon Theera-Umpon, Face Recognition Technology Development with Gabor, PCA and SVM Methodology under Illumination Normalization Condition, Cluster Computing, 2017, Accepted.
Meijing Li, Tsendsuren Munkhdalai, Xiuming Yu and Keun Ho Ryu, “PPIMiner: a Novel Method for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction,” Mathematical Problems in Engineering, 2015(2015), 942435.
Meijing Li, Xiuming Yu, Keun Ho Ryu, “MapReduce-based Web Mining for Prediction of Web-User Navigation,” Journal of Information Science, v 40, no 5, pp. 557-567, October 2014. (检索号：9 )
Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Hyun Ah Park, Nak Hyeon Choi, Keun Ho Ryu (2015), “Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations,”Journal of Cheminformatics, 2015, 7(Suppl 1):S9 (SCI, IF:4.54 )
Mohamed bashir, Dong Gyu Lee, Meijing Li, Ho Sun Shon, Keun Ho Ryu, “Trigger Learning and ECG Parameter Customization for Remote Cardiac Clinical Care Information System,” IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 4, pp. 561-571, 2012. (SCI， IF:072, 检索号：20**6)
Meijing Li, Tsendsuren Munkhdalai, Seong Beom Cho and Keun Ho Ryu , “PubCluster: a PubMed document clustering tool with network-based similarity measures,” Bioinformatics Application note, (SCI, IF:4.621, under review)
Meijing Li, Keun Ho Ryu, Sentiment Analysis based on Generative Feature in Chinese News, The 3rd International Conference on Smart Grid Technology and Data Processing (SGTDP 2017), Suzhou, China, 2017.2.16-2.18.
Quang Hiep Vu, Meijing Li, Keun Ho Ryu, “Assessment of electromagnetic Frequency Sounding Problem in a Near Surface Geological Environment,” Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 17, no. 4, pp. 604-610, July 2013. (EI源期刊，检索号： 20**9)
Tsendsuren Munkhdalai, Meijing Li, Un-il Yun, Namsrai Oyun-Erdene, Keun Ho Ryu, “An Active Co-Training Algorithm for Biomedical Named-Entity Recognition,” Journal of Information Processing Systems, vol. 8, no. 4, pp. 575-588, 2012. (EI源期刊，检索号：20**7)
Namsrai Erdenetuya, Tsendsuren Munkhdalai, Meijing Li, Jung-Hoon Shin, Namsrai Oyun-Erdene, Keun Ho Ryu, “A Feature Selection-based Ensemble Method for Arrhythmia Classification,” Journal of Information Processing Systems, vol. 9, no. 1, pp. 31-40, 2013. (EI源期刊，检索号： 20**6)
Meijing Li, Xiuming Yu, Taewook Kim, Keun Ho Ryu, “Prediction of protein disordered regions in a protein sequence based on gap-constraint subsequence patterns,” 4th International Conference on Awareness Science and Technology ( iCAST 2013), pp.195-199, August 2012. (EI会议，检索号：20**4)
Meijing Li, Keun Ho Ryu, “Temporal gene interaction regulatory networks model using temporal relation rules and 3D cube mining,” IET Conference on Assisted Living 2009, pp. 5-5, 2009. (EI会议，检索号：989)
Quang Hiep Vu, Meijing Li, Thi Hong Nhan Vu, Keun Ho Ryu, “A Novel Clustering Method for Animal Trajectory Analysis using Wireless Sensor Network,” 2013 International Conference on Awareness Science and Technology ( iCAST 2013), 249-254, November 2013. (EI会议，检索号：20**1 )
Xiuming Yu, Meijing Li, Incheon Paik, Keun Ho Ryu, “Prediction of web user behavior by discovering temporal relational rules from web log data,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), LNCS, p 31-38, Database and Expert Systems Applications, 2012. (EI会议，检索号：363)
Xiuming Yu, Meijing Li, Hyeongsoo Kim, Dong Gyu Lee, Jeong Seok Park, Keun Ho Ryu, “A Novel Approach to Mining Access Patterns,” 3rd International Conference on Awareness Science and Technology, pp. 346-352, September 2012. (EI会议，检索号：284)
Tsendsuren Munkhdalai, Meijing Li, Namsrai Erdenetuya, Namsrai Oyun-Erdene, Keun Ho Ryu, “BFSM: Finite State Machine Learned as Name Boundary Definer for Bio Named Entity Recognition,” 3rd International Conference on Awareness Science and Technology, pp. 340-345, September 2012. (EI会议，检索号：283)
Tsendsuren Munkhdalai, Meijing Li, Taewook Kim, Namsrai Oyun-Erdene, Keun Ho Ryu, “Bio Named Entity Recognition based on Co-training Algorithm,” AINA 2012, pp. 857-862, March 2012. (EI会议，检索号：045)
Xiuming Yu, Meijing Li, Dong Gyu Lee, Kwang Deuk Kim, Keun Ho Ryu, “Application of Closed Gap-constrained Sequential Pattern Mining in Web Log Data,” 2011 2nd International Conference of Electrical and Electronics Engineering (ICEEE 2011),649-657, December 2011. (EI会议，检索号：375)
Minghao Piao, Meijing Li, Keun Ho Ryu, “Using Significant Classification Rules to Analyze Korean Customers’ Power Consumption Behavior: Incremental Tree Induction using Cascading-and-Sharing Method,” IEEE CIT, pp. 1649-1653, June 2010. (EI会议，检索号：100)
Yoon Kyeong Lee, Mejing Li, Heon Gyu Lee, Keun Ho Ryu, Hak Yong Kim, “Prediction of fold and unfold regions in a protein by using emerging substring algorithm,” IET Conference on Assisted Living 2009, pp. 20-20, 2009. (EI会议，检索号：004)
Eonseok Shin, Tsendsuren Munkhdalai, Meijing Li, INcheon Paik, Keun Ho Ryu, “A Self-Training with Active Example Selection Criterion for Biomedical Named Entity Recognition,” ICHIT (LNCS), pp. 485-492, 2012. (EI会议，检索号：163)
Peipei Li, Lyong Heo, Meijing Li, Keun Ho Ryu, “Protein Function Prediction Using Frequent Patterns In Protein-Protein Interaction Networks,” 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011), 1664-668, July 2011. (EI会议，检索号：201**)
Meijing Li, Seong Beom Cho, Keun Ho Ryu, “A Novel Approach for Predicting Disordered Regions in A Protein Sequence,” Osong Public Health and Research Perspectives, Vol. 5, Issue 4, pp. 211–218, July 2014. (Scopus源期刊)
Hyeon Ah Park, Taewook Kim, Meijing Li, Ho Sun Shon, Jeong Seok Park, Keun Ho Ryu, “Application of Gap-Constraints Given Sequential Frequent Pattern Mining for Protein Function Prediction.” Osong Public Health and Research Perspectives (2015).
Feifei Li, Minghao Piao, Yongjun Piao, Meijing Li, Keun Ho Ryu, “A New Direction of Cancer Classification: Positive Effect of Low-Ranking MicroRNAs,” Osong Public Health and Research Perspectives, September 2014. (Scopus源期刊)
Meijing Li, Keun Ho Ryu, “Temporal gene interaction regulatory networks model using temporal relation rules and 3D cube mining,” IET Conference on Assisted Living 2009, in London, England.
Keun Ho Ryu，Meijing Li, Ibrahim Musa Ishag Musa, “Biomedical Text Mining: An Overview and An Exemplary Application,” International Conference on Information and Convergence Technology for Smart Society, Jan. 21-24, 2015 in Bangkok, Thailand
Meijing Li, Xiuming Yu, A New Ontology based Semantic Similarity Calculation Method for Biomedical Document Clustering, The International Conference on Information, System and Convergence Applications (ICISCA 2018), Bangkok, Thailand, 2018.1.31-2.2.
Xiuming Yu, Meijing Li, Taewook Kim, Seon-phil Jeong, Keun Ho Ryu, Un-il Yun, Kyung Joo Cheoi, Keun Ho Ryu, “An application of improved gap-BIDE algorithm for discovering access patterns,” Journal of Applied Computational Intelligence and Soft Computing, Volume 2012, January 2012.
Meijing Li, Tsendsuren Munkhdalai,Khuyagbaatar Batsuren,Keun Ho Ryu, “A Bio-Document Clustering System Based on Multiple Similarity Calculation Method,” FITAT 2013, pp. 291, 2013.
Meijing Li, Tsendsuren Munkhdalai, Taewook Kim, Peipei Li, Keun Ho Ryu, “A Bio-Textmining System for Protein-Protein Interaction Extraction,” u-Healthcare 2011 (ICUH), pp. 55-57, September 2011.
Meijing Li, Kwang Su Jung, Keun Ho Ryu, “A Novel Approach for Predicting Disordered Regions,” ISMB/ECCB 2011, 2011.
Meijing Li, Peipei Li, Keun Ho Ryu, “A Novel Approach for Prediction of Protein Secondary Structure Classes,” FITAT/DBMI 2011, pp. 97-99, 2011.
Meijing Li, Minghao Piao, Ho Sun Shon, Keun Ho Ryu, “Constructing Gene Regulatory Networks Model from 3-Dimensioal Gene Expression data,” FITAT, pp. 118-122, 2010.
Meijing Li, Yoon Kyeong Lee, Park Jin Hyoung, Heon Gyu Lee, Hak Yong Kim, Keun Ho Ryu, “Prediction of Protein Disordered and Ordered Region,” ISMB/ECCB 2009, 2009.
Yongjun Piao, Nak Hyun Choi, Meijing Li, Keun Ho Ryu, “Correlation analysis of RNA-Seq and qRT-PCR for detection of differentially expressed genes,” FITAT 2014, 2014.
Nak Hyeon Choi, Youngjun Piao, Meijing Li, Keun Ho Ryu, “Comparison of combination of feature selection methods and classification methods for multiclass cancer classification from RNA-seq gene expression data,” FITAT 2014, 2014.
Khuyagbaatar Batsuren, Tsendsuren Munkhdalai, Meijing Li, Keun Ho Ryu, “Keyword Extraction Using Anti-pattern,” FITAT 2014, 2014.
Feifei Li, Yongjun Piao, Meijing Li, PIAO MINGHAO, Keun Ho Ryu, “POSITIVE IMPRESSION OF LOW-RANKING MICRORNAS IN HUMAN CANCER CLASSIFICATION,” PDCTA 2014, pp. 449-461, Februay 2014.
Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Keun Ho Ryu, “BANNER-CHEMDNER: Incorporating Domain Knowledge in Chemical and Drug Named Entity Recognition,” BioCreative IV Proceedings 2013, pp. 135-139, October 2013.
Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Keun Ho Ryu, “A Computational Approach for Biomedical Event Extraction,” FITAT 2013, 2013.
Khuyagbaatar Batsuren, Tsendsuren Munkhdalai, Meijing Li, Namsrai Erdenetuya, Keun Ho Ryu, “A Novel Method of SMS Spam Filtering using Multiple Features,” FITAT 2013, 2013.
Xiuming Yu, Meijing Li, Keun Ho Ryu, “Patient Management System of Cardiovascular Drug Trials Based-on Software Architecture,” FITAT 2013, 2013.
Yongjun Piao, Meijing Li, Minghao Piao, Keun Ho Ryu, “An Ensemble Method for Cancer Classification With MicroRNA Expression Profiles” ISMB/ECCB 2013, July 2013.
Namsrai Erdenetuya, Meijing Li, Taewook Kim, Namsrai Oyun-Erdene, Keun Ho Ryu, “Comparison of Different Classification Techniques for Arrhythmia,” FITAT 2012, pp. 72-75, 2012.
Tsendsuren Munkhdalai, Meijing Li, Namsrai Erdenetuya, Taewook Kim, Namsrai Oyun-Erdene, Keun Ho Ryu, “Comparison of Classifiers for Disease Named Entity Recognition,” FITAT 2012, pp. 96-98, 2012.
Taewook Kim, Meijing Li, Keun Ho Ryu, “Prediction of Protein Function from Protein-Protein Interaction Network by Weighted Graph Mining,” ICBBT 2012, vol. 4, no. 29, pp. 150-154, March 2012.
Jeon Seo In, Taewook Kim, Ho Sun Shon, Meijing Li, Keun Ho Ryu, “Frequent Pattern Mining for Protein Function Prediction in Protein-Protein Interaction Network,” The 2012 International Conference on Convergence Technology (ICCT 2012), pp. 35-37, 2012.
Namsrai Erdenetuya, Tsendsuren Munkhdalai, Meijing Li, Namsrai Oyun-Erdene, Keun Ho Ryu, “Improving the Performance of Arrhythmia Classification using Ensemble Method,” The 2012 International Conference on Convergence Technology (ICCT 2012), pp. 3-6, 2012.
Xiuming Yu, Meijing Li, Dong Gyu Lee, Kwang Deuk Kim, Keun Ho Ryu, “Application of Closed Gap-constrained Sequential Pattern Mining in Web Log Data,” 2nd International Conference of Electrical and Electronics Engineering (ICEEE 2011), pp.649-657, December 2011.
Namsrai Erdenetuya, Tsendsuren Munkhdalai, Meijing Li, Keun Ho Ryu, “An Ensemble Method for Classification of Arrhythmia with Feature selection,” The 22nd International conference on Genome Informatics (GIW 2011 ), pp. 44, December 2011.
Xiuming Yu, Meijing Li, Hyeongsoo Kim, “Mining Access Patterns Using Temporal Interval Relational Rules from Web Logs,” The 4th International Conference FITAT/DBMI 2011, pp. 80-83, May 2011.
Peipei Li, Pok Gouchol, Meijing Li, “Identification of Hot Spots in Proteins Combining Small-world Network Characteristics and Solvent Accessibility,” The 4th International Conference FITAT/DBMI 2011, pp. 103-105, May 2011.
Tsendsuren Munkhdalai, Meijing Li, Kwang Su Jung, Namsrai Oyun-Erdene, “Status of Entity Identification Technologies in Bio-Text Mining System,” The 4th International Conference FITAT/DBMI 2011, pp. 117-119, May 2011.
Xiuming Yu, Meijing Li, Ho Sun Shon, Yang Koo Lee, Keun Ho Ryu, “CLOSED GAP-CONSTRAINED SEQUENTIAL PATTERN MINING IN WEB LOGS DATA,” International Symposium on Remote Sensing (ISRS 2010), January 2010.
Khalid E.K. Saeed, Meijing Li, Minghao Piao, Heon Gyu Lee, Keun Ho Ryu, “An Efficient Technique for Classifying Protein Data,” FITAT 2009, pp. 122-126, 2009.
参加过的国际会议IET Conference on Assisted Living, London, United Kingdom, March 2009
23rd International Conference on Database and Expert Systems Applications (DEXA 2012), Vienna, Austria, September 3-6, 2012
The 40th International Conference on Very Large Data Bases (VLDB 2014), Hangzhou, China, September 1- 5, 2014
17th Annual International Conference on Intelligent Systems for Molecular Biology (ISBM) & 8th European Conference on Computational Biology (ECCB), Stockholm, Sweden, June 27-July 2, 2009
19th Annual International Conference on Intelligent Systems for Molecular Biology (ISBM) & 10th European Conference on Computational Biology (ECCB), Vienna, Austria, July 15-19, 2011
博士期间指导过的硕士研究生指导硕士研究生Namsrai Erdenetuya（蒙古）完成硕士课题及论文 09-2012.09 ???已完成；?指导其完成题为《An Ensemble Method based on Three-Top Feature Sets for Arrhythmia Dataset》的硕士论文。指导其毕业论文的主题方向选择，以及分析方法论的构建。
指导硕士研究生Tsendsuren Munkhdalai（蒙古）完成硕士课题及论文 09-2012.09 ???已完成 ；指导其完成题为《An Active Co-Training Algorithm for Biomedical Named Entity Recognition》的硕士论文。指导其毕业论文的选题以及关联文献的选择，论文中分析方法的组合及应用等。
指导硕士研究生Taewook Kim（韩国）完成硕士课题及论文 03-2013.03 ???已完成 ；指导其完成题为《Predicting the Protein Function based on Gap-Constraints Sequential Pattern Mining in Protein-Protein Interaction Network》的硕士论文。指导其完成毕业论文的主旨选材，推荐其运用适当的数据分析方法论。
指导硕士研究生Quang Hiep Vu（越南）完成硕士课题及论文 09-2013.09 ???已完成；?指导其完成题为《Predicting Directional Movement of Animal using Hierarchical Clustering Techniques with Wireless Sensor Networks》的硕士论文。指导其论文中对分析方法论的选取，评价实验的测试点选取以及论文后期的校正指导等。
指导硕士研究生Hyeon Ah Park（韩国）完成硕士课题及论文 03-2014.09 ???已完成 ；指导其完成题为《Prediction of Protein Function with Emerging Patterns in Protein-Protein Interaction Network》的硕士论文。指导其完成毕业论文的主旨选材，推荐其运用适当的数据分析方法论。
指导硕士研究生 Khuyagbaatar Batsuren（蒙古）完成硕士课题及论文 03-2015.03 ???已完成；?指导其完成题为《A Dependency Graph-based Keyphrase Extraction Using Anti-pattern》的硕士论文。指导其毕业论文的选题以及关联文献的选择，对其提出的数据分析方法论进行评价及修改，对其最终论文内容进行校正并提出改进方法。
所获奖励2008/03-2010/02?获韩国忠北大学 “Bio-IT”奖学金
2010/03-2014/02 获韩国 “Brain Korea 21”奖学金
2009年 获FITAT2009学会最佳论文奖
2011年 获韩国冬季融合学会优秀论文奖
2016-2017学年 信息工程学院优秀教师
联系方式：办公室 :? ?信工楼?213
E-mail :?? mjli@shmtu.edu.cn