Ming Ren

 

Personal particulars

BA in Management Information Systems (Tsinghua University); Ph.D. in Management Science and Engineering (Tsinghua University).
Associate professor (School of Information Resource Management, Renmin University of China)
Post-doc (Louisiana State University & Tsinghua University); Visiting scholar (Gent University, Belgium)

Research field

Business intelligence and decision techniques, Opinion mining, Conceptual modeling

Teaching

  • Discrete mathematics
  • Data structures
  • Data, model and decisions
  • Information service and marketing

Off-campus Positions

  • Member of Association for Information Systems (AIS)
  • Member of China Association for Information Systems (CNAIS)
  • Reviewer, New Technology of Library and Information Service (in Chinese)

Research projects led

  • National Natural Science Foundation of China, On Strategy of Extracting Representative Opinions in Product Reviews for Enterprises. (2014.1-2016.12)
  • MOE Funds for Doctoral Programs, Enhancing conceptual models using the knowledge discovered from data mining (2011.1-2013.12)
  • National Post-doctral Fund of China, Enhancing information systems based on knowledge discovered using data mining techniques (2008.1-2009.6)
  • Research Funds of Renmin University of China (Fundamental Research Funds for the Central Universities), Web sentiment and the key techniques (2010.1-2012.12)
  • Retailing Research Center (SEM, Tsinghua University), Information systems and business intelligence in retailing (2007.10-2009.6)

Publications

·         Ming Ren, Guoqing Chen, Qiang Wei. Conceptual modeling of cardinality constraints in social publishing, International Journal of Intelligent Systems, Vol.27, pp.837-857, 2012. (SCI)

·         Guoqing Chen, Ming Ren, P. Yan, Enriching the ER Schema Based on Discovered Association Rules from Large Databases, Information Sciences, 177:7, 2007, pp.1558-1566; (SCI)

·         Ming Ren, Qiang Wei, Shuangjie Li, Guoqing Chen, Providing an effective group-buying aggregation service: a data driven approach, Journal of Enterprise Information Management; (ABI, to appear)

·         Ming Ren, Qiang Wei. Decomposing Relation Schemes of Group-buying aggregators in e-Commerce: a reverse engineering approach. In Proc. of 10th International FLINS Conference on Applied Computational Intelligence (FLINS’2012), pp. 1131-1136, Istanbul, Turkey, Aug 2012. (ISTP)

·         Ming Ren, Qiang Wei, Wei Xu. Association-rule-based user segmentation: an empirical study, In Proc. The 2010 International Conference on Electronic-Business Intelligence (ICEBI’2010), pp. 411-417, Kunming, China, Dec 2010.(ISTP)

·         Ming Ren, Qiang Wei, Guoqing Chen, Towards Understanding Dynamics of Mobile Phone Worm Propagation using Social Network Analysis, In Proc. the 8th International Conference on Mobile Business(ICMB’09), Dalian, China, June 2009. (EI, ISTP)

·         Ming Ren, Zuoliang Chen, Chuanlan Liu, Guoqing Chen, An Evolving Information System Based on Data Mining Knowledge to Support Customer Relationship Management, In Proc. The IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE2008), Tianjin, China, Sep 2008. (EI, ISTP)

·         Ming Ren, Qiang Wei, Fei Li, Personalized Recommendation Using Association Rule Mining in Neighborhood, In Proc. The Asia Pacific Conference on Information Management (APCIM’09), Beijing, China, Mar, 2009.

·         Ming Ren, Guoqing Chen, Peng Yan, Inheritance and Sub-classes in an AR-Enriched Conceptual Model, In Proc.The 11th World Congress of International Fuzzy Systems Association (IFSA2005), Beijing, China, July 28-31, 2005, pp. 646-651;

·         Tian-rui Li, Da Ruan, Ming Ren, Yang Xu, On the Extension of Rough Sets through Characteristic Relations for an Attribute Generalization in Data Mining, In Proc.the International Conference on Intelligent Systems and Knowledge(ISKE2006), Shanghai, China, April 6 - 7, 2006.

·         Martine De Cock, Chris Cornelis, Ming Ren, Guoqing Chen, and Etienne E. Kerre, , Association Rule Based Specialization in ER Models, In Intelligent Data Mining: Techniques and Applications, Studies in Computational Intelligence 5, Springer, pp. 203-217, 2005;

·         Guoqing Chen, Ming Ren, X. Guo, Enriching the ER Model Based on Discovered Association Rules. Applied Computational Intelligence, World Scientific, pp. 179-184, 2004; (EI, ISTP)

Awards

SAP scholarship (First-class, Tsinghua-SEM, 2003), Outstanding Leader of League (Tsinghua University, 2005)

Contact

renm@ruc.edu.cn