Mao M., Wei D., Chen Z., Fang X., Chau M.. A Watermark for Low-entropy and Unbiased Generation in Large Language Models.

Keywords: watermarking, large language model

Han, X., Wang, L., Wu, J., Fang, X.. Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method.

Keywords: data valuation, predictive analytics, privacy, vertical federated learning, federated recommendation

Xie, J.*, Zhao, X.*, Liu, X., Fang, X.. Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT.

Keywords: interpretable AI, prototype learning, algorithm transparency, temporal prototype network,
depression prediction, motion sensor, human evaluation, social good

Zhang, H., Qian, W., Fang, X. Latent Network Information-Enhanced Credit Risk Prediction.

Keywords: credit risk prediction, latent network information, machine learning, information systems: enabling technologies

Fang, X.*, Che, S.*, Mao, M., Zhang, H., Zhao, M., Zhao, X.. Bias of AI-Generated Content: An Examination of News Produced by Large Language Models. Accepted by Scientific Reports.

Keywords: AI-generated content (AIGC), large language model (LLM), generative AI, ChatGPT, bias, gender bias, racial bias, prompt

Data used in this study are available at

Zhang, H., Zhao, X., Fang, X., Chen, B.. Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model. Accepted by Information Systems Research.

Keywords: disaster response, disaster management, proactive resource request, deep learning, temporal point process, stochastic optimization

Xu, D., Hu, P., Fang, X. A Deep Learning-based Imputation Method to Enhance Crowdsourced Data on Online Business Directory Platforms for Improved Services. Journal of Management Information Systems, 40 (2), pp. 624-654.

Keywords: crowdsourced data, missing value imputation, deep learning, online business directory

Yin, K., Fang, X., Chen, B., Sheng, O. Diversity Preference-aware Link Recommendation for Online Social Networks. Information Systems Research, 34 (4), pp. 1398-1414.

Keywords: Link recommendation; social network analytics; diversity preference; diversity; recommender system; graph neural network

Zhao, X., Fang, X., He, J., Huang, L. Exploiting Expert Knowledge for Assigning Firms to Industries: A Novel Deep Learning Method. MIS Quarterly, 47 (3), pp.1147-1176.

Keywords: Financial technology (Fintech), industry assignment, deep learning, industry classification system (ICS), hierarchical classification, label embedding

Padmanabhan, B., Fang, X., Sahoo, N., Burton-Jones, A. 2022. Machine Learning in Information Systems Research. MIS Quarterly, 46(1), pp. III-XVIII.

Keywords: Machine Learning, Information System Research

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.

Keywords: sentiment-enriched deep learning, reason mining, social media analytics, health risk analytics, medication nonadherence

Lin, Y., Fang, X. 2021. First, Do No Harm: Predictive Analytics to Reduce In-Hospital Adverse Events. Journal of Management Information Systems, 38 (4), pp. 1122-1149.

Keywords: design science, healthcare predictive analytics, patient safety, medical errors, adverse events

Fang, X., Gao, Y., and Hu, P. 2021. A Prescriptive Analytics Method for Cost Reduction in Clinical Decision Making. MIS Quarterly, 45 (1), pp. 83-115.

Keywords: machine learning, cost-sensitive learning, prescriptive analytics, health care, clinical decision making

Zhang, H., Zhao, X., Yin, K., Yan, Y., Qian, W., Chen, B., Fang, X. 2021. Dynamic estimation of epidemiological parameters of COVID-19 outbreak and effects of interventions on its spread. Journal of Public Health Research, 10 (1).

Keywords: COVID-19, epidemiological parameter, government intervention, Bayesian estimation method

Working Paper Version

He, J., Fang, X., Liu, H., Li, X. 2019. Mobile App Recommendation: An Involvement-Enhanced Approach. MIS Quarterly, 43 (3), pp. 827-849.

Keywords: mobile app recommendation, data mining, machine learning, graphical model, product involvement

Fang, X., and Hu, P. 2018. Top Persuader Prediction for Social Networks. MIS Quarterly, 42 (1), pp. 63-82.

Keywords: top persuader, influential user, data mining, machine learning, opinion leader, social network, social persuasion, social influence, entity similarity, structural equivalence, data-driven method

SSRN Top Ten Download in Information Systems: Behavioral & Social Methods eJournal.

Li, Z., Fang, X., and O. R. Liu Sheng. 2018. A Survey of Link Recommendation for Social Networks: Methods, Theoretical Foundations, and Future Directions. ACM Transactions on Management Information Systems 9 (1) Lead Article.

Keywords: link recommendation, link prediction, network formation, social network

SSRN Top Ten Download in Networks, Information Technology & Systems, and IO: Theory.


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.

Keywords: User satisfaction, website navigation structure design, user familiarity, cognitive load, performance outcomes

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. (*Equal contribution).

Keywords: link recommendation, link prediction, network formation, social network

SSRN Top Ten Download in Information Technology & Systems, Innovation&Networks, Sociology of Innovation, and Sources of Innovation.

Fang X., Liu Sheng, O. R., P. Goes. (2013). When Is the Right Time to Refresh Knowledge Discovered from Data? Operations Research.61(1), pp. 32-44.

Keywords: big data analytics, data mining, knowledge refreshing, Markov decision process

News storyTackling the Velocity of Big Data: Optimal Policy for Refreshing Knowledge Discovered from Data

Fang X., Hu, P., Li., Z., W. Tsai. (2013). Predicting Adoption Probabilities in Social Networks. Information Systems Research. 24(1), pp.128-145.

Keywords: adoption probability, social network, Bayesian learning, social influence, structural equivalence, entity similarity, influence probability

SSRN Top Ten Download in Information Technology & Systems.

Fang X. (2013). Inference-based Naïve Bayes:Turning Naïve Bayes Cost-sensitive. IEEE Transactions on Knowledge and Data Engineering. 25(10), pp. 2302-2313.

Keywords: cost-sensitive classification, Naıve Bayes, classification

Fang X., Hu, P., Chau, M., Hu, H., Yang, Z., Liu Sheng, O. R.(2012). A Data-driven Approach to Measure Website Navigability. Journal of Management Information Systems. 29(2), pp. 173-212.

Keywords: data-driven navigability metrics, Web metrics, Web mining, Web site navigability, Web site navigation

Sundararaghavan, P. S., Kunnathur, A., Fang, X. (2010). Sequencing Questions to Ferret Out Terrorists: Models and Heuristics. Omega. 38(1-2), pp.12-19.

Keywords: information security, decision support systems, information systems

Lu, Y., Chau, M., Fang, X., and Yang, C. C. (2009). Characteristics of character usage in Chinese Web searching. Information Processing and Management. 45(1), pp. 115-130.

Keywords: Web mining, search log analysis, character usage, Chinese, Zipf distribution

Fang X., Rachamadugu, R. (2009). Policies for Knowledge Refreshing in Database. Omega. 37(1), pp. 16-28.

Keywords: decision support systems, dynamic programming, decision making/process, artificial intelligence

Zhang J., Fang, X., Liu Sheng, O. R. (2007). Online Consumer Search Depth: Theory and New Findings. Journal of Management Information Systems. 23(3), pp. 71-95.

Keywords: click-stream data, consumer search behavior, online search behavior, search depth, search model

Chau, M., Fang, X., Yang, C. C. (2007). Web Searching in Chinese: A Study of a Search Engine in Hong Kong. Journal of the American Society for Information Science and Technology. 58(7), pp. 1044-1054.

Fang, X., Michael Chau, Olivia R. Liu Sheng.(2007). ServiceFinder: A Method Towards Enhancing E-service Portals. ACM Transactions on Information Systems. 25(4), Article 17.

Keywords: service portal, online service, service selection

Chau, M., Fang, X., Liu Sheng, O. R. (2007). What Are People Searching on Government Web Sites? A Study of Utah. gov. Communications of the ACM. 50(4), pp. 87-92.

Fang, X., Olivia R. Liu Sheng, Bala Iyer, Wei Gao. (2006). A Data Mining Based Prefetching Approach to Caching For Network Storage Systems. INFORMS Journal on Computing. 18(2), pp. 267-282.

Keywords: caching, data mining, simulation

Chau, M., Fang, X., Liu Sheng, O. R. (2005). Analyzing the Query Logs of a Website Search Engine. Journal of the American Society for Information Science and Technology. 56(13), pp. 1363-1376.

Fang, X., Olivia R. Liu Sheng. (2004). LinkSelector: A Web Mining Approach to Hyperlink Selection for Web Portals. ACM Transactions on Internet Technology. 4(2), pp. 209-237.

Keywords: Web mining, Web portal, metrics, hyperlink selection, algorithms