CV

Ming Ren is Professor and Deputy Dean of the School of Information Resources Management, Renmin University of China. Deputy Dean of the Institute for AI Governance, Renmin University of China. Director of the Research Center for Data Elements and Intelligent Applications, Renmin University of China. Director of the Digital China Strategic Research Center at Fuzhou Research Institute, Renmin University of China.

Ming Ren obtained her Ph.D. in Management Science and Engineering from Tsinghua University. Her research fields include big data analysis, human-AI collaborative intelligence, data element market, and knowledge graph construction and application. She has been PI of many research projects including the National Natural Science Foundation of China, National Social Science Foundation of China. She has published in first-class academic journals in information science and information management, including Journal of the Association for Information Science and Technology, Journal of Informetrics, Decision Support Systems, Information Processing & Management, and Management World (in Chinese), and finished two academic monographs.

Ming Ren is also Researcher of the Key Laboratory of Data Engineering and Knowledge Engineering of the Ministry of Education; Researcher of the Digital Humanities Research Institute of Renmin University of China; Researcher of the Intelligent Information Analysis Research Center of Renmin University of China. She also serves as a Member of the Knowledge Organization Committee of the Chinese Society for Scientific and Technical Information, a Member of the Economic and Management Systems Committee of the Chinese Association for Automation, and a Member of the National Technical Committee for Information Technology Standardization, etc. She has been visiting scholar at the University of Texas at Dallas, Indiana University Bloomington, Louisiana State University, and Ghent University in Belgium.

Main research directions

Big data analytics, human-AI collaborative intelligence, data factor market, knowledge graph construction and applications. 

Lectures

Computational Thinking, 2021 to present

Digital Content Analysis and Mining, 2020-2025

Information Analysis Literature (PhD), 2022 to present

Data governance, 2023 to present

Academic Research Seminar (Graduate/Doctoral), 2021 to present

Data Structures, 2009-2021

Discrete Mathematics, 2009-2022

Exploiting the Information Resources, 2018-2019

Data, Model and Decision (graduate), 2010-2024

Information Service and Marketing (Graduate), 2010

Knowledge Management (PhD), 2019

Big Data Governance (PhD), 2019

Publications

Journal papers (in English)

Huiru Chen, Zhenhua Wang, Ming Ren. (2026) Unveiling the collective behaviors of large language model-based autonomous agents in an online community: A social network analysis perspective, Data and Information Management, 10(1): 100107.

Zhenhua Wang, Guang Xu, Ming Ren. (2025) Can attention detect AI-generated text? A novel Benford's law-based approach, Information Processing & Management, 62(4): 104139.

Zhenhua Wang, Chen Zhang, Ming Ren. (2025) A Novel Benford’s Law-Driven Approach for Detecting Machine-Generated Text, ACM Transactions on Information Systems, 43(6):156.

Wang Z, Chen H, Xu G, Ren M.* (2025) A novel large-language-model-driven framework for named entity recognition, Information Processing & Management, 62(3), 104054.

Xu G, Ren M*, Wang Z, Li G. (2024) MEMF: Multi-entity multimodal fusion framework for sales prediction in live streaming commerce, Decision Support Systems, 184: 114277.

Wang Z, He S, Xu G, Ren M*. (2024) Will sentiment analysis need subculture? A new data augmentation approach, Journal of the Association for Information Science and Technology, 1-16.

Xu G, Ren M*, Li G. (2024) Efficient online surface defect detection using multiple instance learning, Expert Systems with Applications, 252, 124244.

Wang Z., Zhang F., Ren M.*, Gao D. (2024) A new multifractal-based deep learning model for text mining, Information Processing & Management, 61(1), 103561.

Wang Z., Ren M.*, Gao D., Li Z. (2023) A Zipf’s law-based text generation approach for addressing imbalance in entity extraction, Journal of Informetrics, 101453.

Wang Z., Wang B., Ren M.*, Gao D.(2023) A new hazard event classification model via deep learning and multifractal, Computers in Industry, 147, 103875.

Ren M., Zhang Z.*, Zhang J., Mora L. (2022) Understanding the Use of Heterogenous Data in Tackling Urban Flooding: An Integrative Literature Review, Water, 14(14), 2160.

Xu J., Li L., Ren M*. (2022) A Hybrid ANP Method for Evaluation of Government Data Sustainability, Sustainability, 2022, 14(2), 884.

Jin Zhang, Ming Ren*, Xian Xiao. (2017) Providing Consumers with a Representative Subset from Online Reviews, Online Information Review, 41(6), pp.877-899.

Jin Zhang, Guannan Liu, Ming Ren*. (2016) Finding a representative subset from large-scale documents, Journal of Informetrics, 10(3), pp. 685-888.

Hua Yuan, Yu Qian, Rui Yang, Ming Ren (2014) Human mobility discovering and movement intention detection with GPS trajectories, Decision Support Systems, 63, 39-51.

Ming Ren, Qiang Wei, Shuangjie Li, Guoqing Chen. (2014) Providing an effective group-buying aggregation service: a data-driven approach, Journal of Enterprise Information Management, 27(3), 302-315.

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

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.

Monograph

Ming Ren. Intelligent Information System——the Methods and Practice to Enhancing Data Models based on Associations[D], Zhejiang University Press, 2012.

Ming Ren. Build任明. Construction of Digital Humanities Knowledge Graph: Method and Applications [D], China Renmin University Press, 2021.

 

Book Chapter

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.

 

Conference

Zhenhua Wang, Aixin Yao, Ming Ren. When Zipf's Law Emerges in AI-generated Text: A New Hybrid Detection Framework. CNAIS 2025, Beijing, Oct.

Zhenhua Wang, Guang Xu, and Ming Ren*. Identification of LLM-generated text via knowledge potentiality, Presented at the First International OpenKG Workshop Large Knowledge-enhanced Models (IKM@IJCAI 2024), Aug, 2024.

Xu G, Ren M, Zhou Q. Affective and Cognitive: Exploring the Multi-modal data for Predicting User Engagement Behavior in Live Streaming Commerce [C]//45th International Conference on Information Systems (ICIS), 2024.

Guang Xu, Ming Ren, Zhenhua Wang. Sales prediction for live streaming commerce based on incomplete modalities: a reconstruction-based method[C]. CNAIS 2024 Proceedings, 2024.

Zhenhua Wang, Guang Xu, Ming Ren. LLM-Generated Natural Language Meets Scaling Laws: New Explorations[C]. CNAIS 2024 Proceedings, 2024

Yao A, Xu G, Ren M. Exploring the Factors Influencing User Engagement in Live Streaming[C]. iConference 2024 Proceedings, 2024.

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)