Publications

Li, D., Bai, M., & Xian, X. (2024). Data-driven Pathwise Sampling Approaches for Online Anomaly Detection. Technometrics, 66(4), 600-613. DOI: https://doi.org/10.1080/00401706.2024.2342314

Du, S., Li, Z., Yu, D., Li, D., & Hu, Q. (2020). Exact Confidence Limit for Complex System Reliability Based on Component Test Data. Quality Technology & Quantitative Management, 17(1), 75-88. DOI: https://doi.org/10.1080/16843703.2018.1535766

Li, D., Hu, Q., Wang, L., & Yu, D. (2019). Statistical Inference for Mt/G/Infinity Queueing Systems Under Incomplete Observations. European Journal of Operational Research, 279(3), 882-901. DOI: https://doi.org/10.1016/j.ejor.2019.06.055

Li, D., Bai, M., Wang, D., & Xian, X. A Bayesian Jump Model-based Pathwise Sampling Approach for Online Anomaly Detection. IISE Transactions, under minor revision.

Li, D., Kang, M., Singer, G., Liu, H., Hasan, M., & Xian, X., On-Demand Machine Learning for Resource-Constrained Classification. INFORMS Journal on Data Science, under major revision.

Zan, X., Li, D., & Xian, X. Within-layer In-situ Quality Monitoring of Additive Manufacturing Processes Along Tool Paths. Journal of Quality Technology, under review.

Li, D., & Xian, X. Theoretical Analysis and Design of an Online Monitoring and Sampling Scheme Under Partial Observations, to be submitted to Technometrics.

Li, D., & Xian, X. Physics-informed Machine Learning for Droplet Evolution Prediction in Inkjet Printing, under preparation.