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Chen Kun

Assistant Professor



Dr. Chen obtained her PhD degree from City University of Hong Kong in Information Systems. She worked in some world-famous financial institutions before joining in SUSTC, including Australian Capital Market Research Center, Securities and Futures Commissions of Hong Kong, and Shenzhen Stock Exchange. She also was one of the two recipients that have received Global CMCRC scholarship in Hong Kong. Her current research focuses on financial intelligence and big data analytics. She has several papers published on top journals including JOC, JMIS,I&M, and etc.



  • 2011, Ph.D., Information Systems, City University of Hong Kong, Business School, Hong Kong
  • 2008, MSc, Computer Science, Chinese Academy of Sciences & Shandong University of Science and Technology Joint Program, PRC
  • 2005, BEg, Information Management and Information Systems, Shandong University of Science and Technology, PRC


Professional Experience

  • July, 2013 – present, Assistant professor, Department of Finance , South University of Science and Technology of China, China
  • Feb, 2014 – July, 2014, Research Fellow, City University of Hong Kong, Hong Kong
  • Sep, 2011 – June, 2013, Postdoctoral Research Fellow, Shenzhen Stock Exchange, China
  • Oct, 2010 – July, 2011, Research Staff, Securities and Futures Commissions of Hong Kong, Hong Kong
  • Apr, 2010 – Oct, 2010, Research Staff, Australian Capital Market Research Center, Australian



Journal Articles

  • Xin Li*, Kun Chen*, Sherry Sun, Terrence Fung, Huaiqing Wang, Dajun Zeng, A Commonsense Knowledge-enabled Textual Analysis Approach for Financial Market Surveillance, INFORMS Journal on Computing, Conditional accept (Business School UT Dallas List Journal, IS A+ Journal, *Equal Contribution, IF: 1.077)
  • Xin Li, Sherry Sun, Kun Chen*, Terrence Fung, Huaiqing Wang, Design Theory for Market Surveillance Systems, Journal of Management Information Systems. 32 (2), 2015, 278-313 (MIS A+ Journal, IF: 2.062)
  • Kun Chen*, Peng Luo, Bianxia Sun, Huaiqing Wang, Which stocks are profitable? A Network Method to Investigate the Effects of Network Structure on Stock Returns, Physica A: Statistical Mechanics and Its Applications. 436, 2015, pp. 224-235 (SCI, IF: 1.732)
  • Kun Chen*, Xin Li, Huaiqing Wang, “On the Model Design of Integrated Intelligent Big Data Analytics Systems”, Industrial Management & Data Systems, Accept (SCI, IF: 1.345)
  • Chong Wu, Peng Luo*, Yongli Li, Kun Chen. Stock Price Forecasting: Hybrid Model of Artificial Intelligent Methods, Inzinerine Ekonomika-Engineering Economics, 26 (1) 2015, 40-48. (SCI, IF: 0.871)
  • Kun Chen*, Xin Li, Baoxun Xu, Jiaqi Yan, Huaiqing Wang. Intelligent Agents for Adaptive Security Market Surveillance. Enterprise Information Systems, DOI 10.1080/17517575.2015.1075593 (2012 IF: 9.265)
  • Kun Chen*, Huaiqing Wang and Hokyin LAI. “A General Knowledge Mediation Infrastructure for Multi-agent Systems”. Expert Systems with Applications 38 (1) 2011 495–503 (SCI, IF: 2.240)



  • Kun Chen, Huaiqing Wang, Commonsense Knowledge based Security Market Surveillance System, China, Application No. 201410342490.3
  • Huaiqing Wang, Kun Chen, Big data sense-making analytics and decision support Systems, China, Application No. 201410326560.6


Research Grant


  • Big Data Supported Security Market Surveillance Systems: Theory, Methodology, and Application, National Natural Science Foundation of China, 7160109, 2017-2019, 170, 000 RMB, PI

    Big Data Sense-making Analytics and Decision Support Framework: A Case of Intelligent Financial Market Surveillance, Shenzhen Research Grant, JCYJ2010417105742712, 2015-2017, 300,000 RMB, PI.

    Big Data Supported Market Surveillance System, SUSTC Research Grant, FRG-SUSTC1501A-20, 2015-2016, 300,000 RMB, PI.

    Theories and Applications for Cultivating Creativity via Social Learning Networks, National Natural Science Foundation of China, 51475347, 2016-2018, 620,000 RMB, Co-PI.

    Noise or Information? – study on stock message board based on attention and social network theory, 71673318, 2017-2019, 620,000 RMB, Co-PI


Research Fields

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