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

Website

Institutional Service
  • BI&A Program Committee Member
  • Undergraduate Studies Committee Member
  • PhD Program Committee Member
  • Undergraduate Curriculum Committee Member
Professional Service
  • Frontiers in Blockchain Editorial Board
Professional Societies
  • AIS – Association for Information Systems Member
  • DIS – Decision Sciences Institute Member
  • INFORMS – Institute for Operations Research and the Management Sciences Member
Selected Publications
Conference Proceeding
  1. Zheng, L.; Mai, F.; Gordon, D. M.; Nickerson, J. (2020). Bursty coordination in online communities. 40th International Conference on Information Systems, ICIS 2019.
    https://api.elsevier.com/content/abstract/scopus_id/85084712060.
  2. 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.
    https://www.aaai.org/ojs/index.php/ICWSM/article/view/7334/7188.
  3. Zheng, L.; Mai, F.; Gordon, D.; Nickerson, J. (2018). Bursty Coordination in Online Communities. Workshop on Information Technology and Systems.
  4. Lei (Nico) Zheng; Mai, F.; Gordon, D. M.; Nickerson, J. (2018). Bursty Coordination in Online Communities. Workshop on Information in Technology.
Journal Article
  1. 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, 57, 8: 103387. [ABS-3 Journal, IF: 5.155]. Information and Management.
    https://doi.org/10.1016/j.im.2020.103387.
  2. 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).
    https://api.elsevier.com/content/abstract/scopus_id/85075087145.
  3. 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).
    https://api.elsevier.com/content/abstract/scopus_id/85056216106.
  4. 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).
    https://api.elsevier.com/content/abstract/scopus_id/85046685276.
  5. 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).
  6. 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).
    https://api.elsevier.com/content/abstract/scopus_id/85048976422.
  7. Mai, F.; Shan, Z.; Bai, Q.; Wang, X. (.; Chiang, R. H. (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).
    https://api.elsevier.com/content/abstract/scopus_id/85045010886.
  8. 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).
    https://api.elsevier.com/content/abstract/scopus_id/84960295551.