CV

Main research directions

information extraction, text summarization, knowledge graph, digital humanities

Lectures

Data Structures, undergraduate, 2009-now
Discrete Mathematics, undergraduate, 2009-now
Exploiting the Information Resources, undergraduate, 2018-2019
Data, Model and Decision, graduate, 2010-now
Information Service and Marketing, graduate, 2010
Knowledge Management, PhD, 2019
Big Data Governance, PhD, 2019

Publications

- Jin Zhang, Guannan Liu, Ming Ren*, Finding a representative subset from large-scale documents, Journal of Informetrics, 2016, 10(3), pp. 685-888. (SCI)
- Jin Zhang, Ming Ren*, Xian Xiao, Providing Consumers with a Representative Subset from Online Reviews, Online Information Review, 2017, 41(6), pp.877-899. (SCI)
- Hua Yuan, Yu Qian, Rui Yang, Ming Ren, Human mobility discovering and movement intention detection with GPS trajectories, Decision Support Systems, 63, 2014, pp 39-51. (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, 27(3), 2014, pp. 302-315. (ABI)
- 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, Guang Xu, Wenxiang Wang, Extracting Entities and Relationships from Chinese Genealogical text [J]. Chinese Information Processing, 2020. (in Chinese)
- Kaixiang Wang, Ming Ren. Query-based summarization of news text[J]. Chinese Information Processing, 2019, 33(4): 93-100.(in Chinese)
- Ming Ren, Nan Zhang, Baojun Ma, Factors influencing the attention received by individuals in online communities, 36(7), 2017. (in Chinese)
- Ming Ren, Intelligent information system -- Methods and practice of enriching data models with association knowledge[M], Zhejiang University Press, 2012.
- 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.
- Guang Xu, and Ming Ren, Comparing China’s Self-image and Western media projected image -from the perspective of Davos Forum, Presented at 11th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2018), Sevilla, Sep, 2018.
- Ming Ren, Sherry Xie and Jin Zhang, Collective Memory in the Digital Age: A case of Beipiao, Presented at the 8th International Conference of Digital Archives and Digital Humanities (DADH 2017), Nov, 2017.
- Jin Zhang, Baojun Ma, Jilong Zhang, Ming Ren and Chong Ma, Understanding the Massive Online Reviews: A Novel Representative Subset Extraction Method, Presented at 20th Pacific Asia Conference on Information Systems (PACIS2016), June, 2016.
- Qiang Wei, Ming Ren, Jiawei Lei, Jin Zhang, How can Product Text Snippets Benefit from Online Customer Reviews? PACIS2014, Chengdu, China, June, 2014.
- 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, 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, 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)
- 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.
- 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;
- 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)

Main Research Projects

• PI, Fundamental Research Funds for the Central Universities (Renmin University of China), “Knowledge graph construction and its applications in digital humanities” (2019.1-2021.12)
• PI, National Natural Science Foundation of China, “Extracting Representative Opinions in Product Reviews” (2014.1-2016.12)
• PI, Ministry of Education Fund for Doctoral Programs, “Enhancing conceptual models using the knowledge discovered from data mining” (2011.1-2013.12)
• PI, National Post-doctoral Fund of China, “Enhancing information systems based on knowledge discovered using data mining techniques”(2008.1-2009.6)
• PI, Fundamental Research Funds for the Central Universities (Renmin University of China), “Building the memory of Beijing drifters – a text mining approach”(2014.1-2017.12)
• PI, Fundamental Research Funds for the Central Universities (Renmin University of China), “Web sentiment and the key techniques”(2010.1-2012.12)
• PI, Research Funds of Retailing Research Center (Tsinghua University), “Enhancing information systems in retailing” (2007.10-2009.6)