Mao, M., Chen, S., Yin, B. , Fang, X. Massive Activation Gating Channel in Large Language Models.
Zhang, H., Xu, J., He, J., Fang, X. Privacy-Preserving Credit Risk Prediction with Alternative Data.
Keywords: credit risk prediction, alternative data, privacy-preserving machine learning, vertical federated learning
Yang, Y., Xu, J., Zhang, H., Fang, X. Secure Confidential Business Information When Sharing Machine Learning Models.
Keywords: Model-sharing; information privacy, machine learning, information systems-enabling technology
Fang, X., Hu, P., Chau, M., Chen, H. Computational Design Science: A Critical Information Systems Research Area Contributing to Artificial Intelligence and Data Science.
Keywords: Computational design science, design science, information systems, artificial intelligence, data science, machine learning, methodological contribution
Mao, M., Wei, D., Fang, X., Chau, M. A General Method for Detecting Information Generated by Large Language Models.
Keywords: large language model, detection method, LLM-generated information, generative model, deep learning, memory network, discrepancy mitigation
Zhao, X., Fang, X., He, J., Sheng, O. A Novel Document Embedding Approach to Industry Classification.
Keywords: industry classification system, document embedding, deep learning, financial technology
Chong, H., He, J., Fang, X. Revitalizing Shopping Malls with AI-Powered Decision Support: A Graph Neural Network Approach to Mall-Wide Brand Placement.
Keywords: brand placement, intelligent site selection, substitution and complementary effects, spatial interactions, graph neural networks
Mao, M., Zhao, X., Fang, X. Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach. Accepted by Management Science.
Keywords: misinformation detection, infodemic management, domain adaptation, covariate shift, concept shift, deep learning, contrastive learning, transfer learning
Wang, D.*, Brignac, E.*, Mao, M., Fang, X. Measuring Stereotype and Deviation Biases in Large Language Models. Accepted by Scientific Reports.
Keywords: large language model, bias evaluation, stereotype bias, deviation bias
Zhang, H., Qian, W., Fang, X. Latent Similarity-Enhanced Credit Risk Prediction. Accepted by MIS Quarterly.
Keywords: redit risk prediction, latent similarity, machine learning, information systems: enabling technologies
Han, X., Wang, L., Wu, J., Fang, X. Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method. Accepted by MIS Quarterly.
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. Accepted by Management Science.
Keywords: TempPNet, interpretable AI, prototype learning, depression detection, motion sensor
Zhao, L., Ding, S., Chai, Y., Xie, J., Fang, X., Yang, S. Responsible AI-Enabled Infodemic Management: A Hypergraph-based Infodemic Topic Prediction Framework. Accepted by INFORMS Journal on Computing.
Keywords: responsible infodemic management, AI, hypergraph, Infodemic, topic prediction, social media analysis
He, J., Wu, W., Guo, J., Fang, X. Demands Satiated or Not? A Psychology-Informed Deep Probabilistic Approach to Offline Store Recommendations. Accepted by INFORMS Journal on Computing.
Keywords: offline store recommendations; psychology-informed recommender systems; optimum stimulation level theory; deep probabilistic models
Fang, X.*, Che, S.*, Mao, M., Zhang, H., Zhao, M., Zhao, X. 2024. Bias of AI-Generated Content: An Examination of News Produced by Large Language Models. Scientific Reports, 14:5224.
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 github.com/dalabudel/llmbias.
Zhang, H., Zhao, X., Fang, X., Chen, B. 2024. Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model. Information Systems Research, 35 (2), pp. 528-550.
Keywords: disaster response, disaster management, proactive resource request, deep learning, temporal point process, stochastic optimization
Xu, D., Hu, P., Fang, X. 2023. 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. 2023. 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. 2023. 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
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.
SPACE
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
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 story: Tackling 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
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