Feng Mai

Assistant Professor

School: School of Business

Building: Babbio Center

Room: 626

Phone: (201) 216-3815

Fax: (201) 216-5385

Email: fmai@stevens.edu


  • PhD (2015) University of Cincinnati (Operations, Business Analytics, and Information Systems)
  • MS (2010) Miami University (Statistics)
  • BA (2008) Wabash College (Mathematics)
Professional Societies
  • ACM – Association for Computing Machinery Member
  • AIS – Association for Information Systems Member
Selected Publications
Conference Proceeding
  1. Ning, Y.; Vaidya, A.; Mai, F. (2020). Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection. 14th International Conference on Web and Social Media (ICWSM). Atlanta, Georgia: AAAI ICWSM.
  2. Zheng, L.; Mai, F.; Gordon, D. M.; Nickerson, J. (2020). Bursty coordination in online communities. 40th International Conference on Information Systems, ICIS 2019.
  3. Mai, F.; Chen, Z.; Lindberg, A. (2019). Does Sleep Deprivation Cause Online Incivility? Evidence from a Natural Experiment.. ICIS.
  4. Zheng, L.; Mai, F.; Gordon, D.; Nickerson, J. (2018). Bursty Coordination in Online Communities. Workshop on Information Technology and Systems.
  5. Lei (Nico) Zheng; Mai, F.; Gordon, D. M.; Nickerson, J. (2018). Bursty Coordination in Online Communities. Workshop on Information in Technology.
Journal Article
  1. Li, K.; Mai, F.; Shen, R.; Yan, X. (2021). Measuring Corporate Culture Using Machine Learning. Review of Financial Studies (7 ed., vol. 34, pp. 3265–3315).
  2. Li, K.; Liu, X.; Mai, F.; Zhang, T. (2021). The Role of Corporate Culture in Bad Times: Evidence from the COVID-19 Pandemic. Journal of Financial and Quantitative Analysis. Cambridge University Press.
  3. Liu, R.; Mai, F.; Wu, Y. (2020). Predicting Shareholder Litigation on Insider Trading from Financial Text: An Interpretable Deep Learning Approach, 2020, Rong Liu, Feng Mai, Jay Shan, and Ying Wu. Information and Management [ABS-3 Journal, IF: 5.155] (8 ed., vol. 57, pp. 103387).
  4. Zheng, L.; Albano, C. M.; Vora, N. M.; Mai, F.; Nickerson, J. (2019). The roles bots play in Wikipedia. Proceedings of the ACM on Human-Computer Interaction (CSCW ed., vol. 3).
  5. Mai, F.; Tian, S.; Lee, C.; Ma, L. (2019). Deep learning models for bankruptcy prediction using textual disclosures. European Journal of Operational Research (2 ed., vol. 274, pp. 743-758).
  6. Li, X.; Wu, C.; Mai, F. (2019). The effect of online reviews on product sales: A joint sentiment-topic analysis. Information and Management (2 ed., vol. 56, pp. 172-184).
  7. Ko, D. G.; Mai, F.; Shan, Z.; Zhang, D. (2019). Operational efficiency and patient-centered health care: A view from online physician reviews. Journal of Operations Management (4 ed., vol. 65, pp. 353-379).
  8. Mai, F.; Fry, M. J.; Ohlmann, J. W. (2018). Model-based capacitated clustering with posterior regularization. European Journal of Operational Research (2 ed., vol. 271, pp. 594-605).
  9. Mai, F.; Shan, Z.; Bai, Q.; Wang, X.; Chiang, R. (2018). How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis. Journal of Management Information Systems (1 ed., vol. 35, pp. 19-52).
  10. Qin, F.; Mai, F.; Fry, M. J.; Raturi, A. S. (2016). Supply-chain performance anomalies: Fairness concerns under private cost information. European Journal of Operational Research (1 ed., vol. 252, pp. 170-182).
  11. Wang, X.; Mai, F.; Bendle, N.; Cotte, J. (2015). The Journal of Consumer Research at Forty: A Historical Analysis. Journal of Consumer Research (1 ed., vol. 42, pp. 5-18).
  12. Wang, X.; Mai, F.; Chiang, R. H. (2014). Market Dynamics and User-Generated Content About Tablet Computers. Marketing Science (3 ed., vol. 33, pp. 449-458).

BIA-652 Multivariate Data Analytics