University of Delaware
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Xiao Fang

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Title Professor of MIS, IFSA Senior Fellow
Email xfang@nospam6aeb514aa7941.udel.edu
Office 357 Purnell Hall
Phone (302) 831-3806
Biography

Biography

Xiao Fang is professor of MIS and IFSA senior fellow at Lerner College of Business & Economics and Institute for Financial Services Analytics, University of Delaware. His current research focuses on AI for business, human-centered AI alignment, AI safety and AI for healthcare, with methods and tools drawn from reference disciplines including management science (e.g., optimization) and computer science (e.g., machine learning). He has published in business journals including Management Science, Operations Research, MIS Quarterly and Information Systems Research as well as computer science outlets such as ACM Transactions on Information Systems and IEEE Transactions on Knowledge and Data Engineering. Professor Fang received the 2017 INFORMS ISS Design Science Award. He co-founded the INFORMS Workshop on Data Science in 2017 and the Summer Workshop on AI for Business (SWAIB) in 2024. He currently serves as a senior editor for MIS Quarterly.

Education

  • Ph.D. in management information systems, University of Arizona
  • M.S. in management information systems, Fudan University, China
  • B.S. in management information systems, Fudan University, China

Select Publications

  • Mao, M., Zhao, X., and Fang, X. 2026. Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach. Accepted by Management Science.
  • Xie, J., Zhao, X., Liu, X., and Fang, X. 2026. Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT. Management Science, 72(7), pp. 5894-5915.
  • Zhang, H., Qian, W., and Fang, X. 2026. Latent Similarity-Enhanced Credit Risk Prediction. MIS Quarterly, 50(2), pp.731-766.
  • Han, X., Wang, L., Wu, J., and Fang, X. 2026. Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method. MIS Quarterly, 50(1), pp.177-210.
  • Zhang, H., Zhao, X., Fang, X., and Chen, B. Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model. Information Systems Research, 35(2), pp. 528-550.
  • Yin, K. Fang, X., Chen, B., and Liu Sheng, O. R. Diversity Preference-Aware Link Recommendation for Online Social Networks. Information Systems Research, 34(4), pp. 1398-1414.
  • Zhao, X., Fang, X., He, J., and Huang, L. 2023. Exploiting Expert Knowledge for Assigning Firms to Industries: A Novel Deep Learning Method. MIS Quarterly, 47 (3), pp.1147-1176.
  • Xie, J., Liu, X., Zeng, D., Fang, X. 2022. Discovering Reasons for Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. MIS Quarterly, 46 (1), pp. 341-372.
  • Padmanabhan, B., Fang, X., Sahoo, N., Burton-Jones, A. 2022. Editor’s Comments: Machine Learning in Information Systems Research. MIS Quarterly, 46(1), pp. III-XVIII.
  • Fang, X., Gao, Y., Hu, P. 2021. A Prescriptive Analytics Method for Cost Reduction in Clinical Decision Making. MIS Quarterly, 45 (1), pp. 83-115.
  • He, J., Fang, X., Liu, H., Li, X. 2019. Mobile App Recommendation: An Involvement-Enhanced Approach. MIS Quarterly 43 (3), pp. 827-849.
  • Fang, X., and Hu, P. 2018. Top Persuader Prediction for Social Networks. MIS Quarterly 42 (1), pp. 63-82.
  • Hu, P., Hu, H., and Fang, X. 2017. Examining the Mediating Roles of Cognitive Load and Performance Outcomes in User Satisfaction with a Website: A Quasi-Field Experiment. MIS Quarterly 41 (3), pp. 975-987.
  • Li, Z., Fang, X., Bai, X. and O. R. Liu Sheng. 2017. Utility-based Link Recommendation for Online Social Networks. Management Science, 63(6), pp. 1938-1952.
  • Fang, X., Liu Sheng, O. R., and P. Goes. 2013. When Is the Right Time to Refresh Knowledge Discovered from Data? Operations Research, 61(1), pp. 32-44.

Awards & Honors

  • Outstanding Associate Editor, MIS Quarterly, 2021.
  • Finalist, Artificial Intelligence (AI) Health Outcomes Challenge, U.S. Centers for  Medicare & Medicaid Services, 2019-2020
  • Best Paper Award, INFROMS Workshop on Data Science, 2019.
  • Lerner College Outstanding Scholar Award, University of Delaware, 2017.
  • Accounting and MIS Department Faculty Excellence in Research Award, University of Delaware, 2017.
  • INFORMS Design Science Award, 2016.
  • JPMorgan Chase Fellow, 2015-present.

Curriculum Vitae

Download Xiao Fang’s CV (PDF)

Website

Visit Xiao Fang’s Personal Webpage