Jiaheng Xie

Biography

Jiaheng Xie is an Assistant Professor in the Department of Accounting and MIS at the University of Delaware’s Alfred Lerner College of Business and Economics. His research interests lie in interpretable deep learning, health risk analytics and business analytics. His dissertation, titled “Big Data-Based Health Risk Analytics: A Deep Learning Approach” develops novel deep learning methods to understand, predict and mitigate three levels of critically important health risks: patient behavioral risk, disease risk and policy risk. His prior works have been published at many premier journals, including MIS Quarterly, Journal of Management Information Systems (JMIS), and Journal of American Medical Informatics Association (JAMIA).

Education

• Ph.D. in MIS, University of Arizona
• B.A. in management science, Renmin University

Select Publications

• Zhang, W.*, Xie, J.*, Zhang, Z., and Liu, X. (2024). Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach. Journal of Management Information Systems (JMIS) (FT 50), in press. (*Co-first Author and Equal Contribution)
• Xie, J., Chai, Y., and Liu, X. (2023). Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning. Journal of Management Information Systems, in press.
• Xie, J., Liu, X., Zeng, D., & Fang, X. (2022). Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. MIS Quarterly, 46(1), 341-372.
• Xie, J., Zhang, B., Ma, J., Zeng, D., & Lo-Ciganic, J. (2022) Readmission Prediction for Patients with Heterogeneous Medical History: A Trajectory-Based Deep Learning Approach. ACM Transactions on Management Information Systems (TMIS), 14(2), 1-27.
• Xie, J., Zhang, Z., Liu, X., & Zeng, D. (2021). Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning. Journal of Management Information Systems (JMIS), 38(1), 166-195.
• Xie, J., Zhang, B., Brown, S., & Zeng, D. (2021). Write Like a Pro or an Amateur? Effect of Medical Language Formality. ACM Transactions on Management Information Systems (TMIS), 12(3), 1-25.
• Zeng, D., Zhang, Z., Liang, J., Xu, N., Wang, K., Yang, Y., Chen, W., Xu, Y., Liu, P., and Xie, J. (2021). Machine Behavior and Human-Machine Collaborative Decision: Theory and Methods. Journal of Management Science, 34(6), 55-59.
• Xie, J., Liu, X., & Zeng, D. (2018). Mining E-cigarette Adverse Events in Social Media Using Bi-LSTM Recurrent Neural Network with Word Embedding Representation. Journal of the American Medical Informatics Association (JAMIA) (IF: 4.27). 25 (1), 72-80.
• Xie, J., Zeng, D., and Marcum, Z. A. (2017). Using Deep Learning to Improve Medication Safety: the Untapped Potential of Social Media. Therapeutic Advances in Drug Safety (IF: 2.84). 8 (12), 375-377.

Awards & Honors

• Lerner FinTech Scholar, 2023
• Best Student Paper Nominee, INFORMS Workshop on Data Science, 2023
• Accounting & MIS Department Faculty Research Award, 2023
• PI, “Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT,” University of Delaware Research Foundation Strategic Initiatives (UDRF-SI) Award, University of Delaware, 2022
• Best Complete Paper Nominee, INFORMS Workshop on Data Science, 2022
• SWUFE-UD Joint Educational Institute (JEI) Research Fellow, 2022
• PI, “Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics,” General University Research (GUR) Grant, University of Delaware, 2021
• Best Paper Award Winner, Workshop on Information Technologies and Systems (WITS), 2021
• Doctoral Consortium Fellow, International Conference on Information Systems (ICIS), 2019
• Doctoral Consortium Fellow, Americas Conference on Information Systems (AMCIS), 2019
• James F. LaSalle Teaching Excellence Award, The University of Arizona, 2019
• Best Paper Award Runner-Up, International Conference for Smart Health (ICSH), 2019
• Graduate and Professional Student Council Travel Grant, The University of Arizona, 2019
• Doctoral Consortium Fellow, Conference on Health IT and Analytics (CHITA), 2018
• Best Paper Award Runner-Up, International Conference for Smart Health (ICSH), 2018

Curriculum Vitae

Download Jiaheng Xie’s CV (PDF)