Xiaolei Fang
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Refereed Publications and Preprints

  1. Ko, D., & Fang, X. (2026). A conditional diffusion-based generative AI model for industrial predictive analytics. Under Review.
  2. Hu, Y., & Fang, X. (2026). Heterogeneity-aware personalized federated learning for industrial predictive analytics. arXiv preprint arXiv:2604.19451. Under Review.
  3. Su, Y., & Fang, X. (2026). A multi-head attention fusion network for industrial prognostics under discrete operational conditions. arXiv preprint arXiv:2604.10248. Under Review.
  4. Aziz Ezzat, A., Mansouri, M., Yildirim, M., & Fang, X. (2026). IISE PG&E Energy Analytics Challenge 2024: Forecasting day-ahead electricity prices. IISE Transactions, 58(1), 117-129.
  5. Su, B., Qing, L., Lu, L., Jung, S. H., Fang, X., & Xu, X. (2025). Enhancing data privacy in human factors studies with federated learning. Human Factors, 67(12), 1312-1328.
  6. Jeong, C., Byon, E., He, F., & Fang, X. (2025). Tensor-based statistical learning methods for diagnosing product quality defects in multistage manufacturing processes. IISE Transactions, 57(6), 706-723.
  7. Arabi, M., & Fang, X. (2025). A federated data fusion-based prognostic model for applications with multi-stream incomplete signals. IISE Transactions, 57(6), 655-675.
  8. Su, Y., & Fang, X. (2025). Deep learning-based residual useful lifetime prediction for assets with uncertain failure modes. Journal of Computing and Information Science in Engineering, 25(4), 041002.
  9. Wang, Z., Yang, L., Fang, X., Zhang, H., & Xie, M. (2025). Image-based remaining useful life prediction through adaptation from simulation to experimental domain. Reliability Engineering & System Safety, 255, 110668.
  10. Li, R., Xia, T., Jiang, Y., Wu, J., Fang, X., Gebraeel, N., & Xi, L. (2025). Deep complex wavelet denoising network for interpretable fault diagnosis of industrial robots with noise interference and imbalanced data. IEEE Transactions on Instrumentation and Measurement, 74, 1-11.
  11. Jung, S. H., Wang, H., Su, B., Lu, L., Qing, L., Fang, X., & Xu, X. (2025). Learning undergraduate data science through a mobile device and full body movements. TechTrends, 69(1), 149-161.
  12. Peters, B., Mohanty, A., Fang, X., Robinson, S. K., & Gebraeel, N. (2024). Sensor-fusion based prognostics for deep-space habitats exhibiting multiple unlabeled failure modes. arXiv preprint arXiv:2411.12159. Under Review.
  13. Su, Y., & Fang, X. (2024). A two-stage federated learning approach for industrial prognostics using large-scale high-dimensional signals. arXiv preprint arXiv:2410.11101. Under Revision at IEEE Transactions on Systems, Man, and Cybernetics: Systems.
  14. Koprov, P., Fang, X., & Starly, B. (2024). Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol. Journal of Manufacturing Systems, 76, 59-74.
  15. Lin, F., Fang, S. C., Fang, X., & Gao, Z. (2024). Distributionally robust chance-constrained kernel-based support vector machine. Computers & Operations Research, 170, 106755.
  16. Lin, F., Fang, S. C., Fang, X., Gao, Z., & Luo, J. (2024). A distributionally robust chance-constrained kernel-free quadratic surface support vector machine. European Journal of Operational Research, 316(1), 46-60.
  17. Sheng, J., & Fang, X. (2024). Differentially private log-location-scale regression using functional mechanism. arXiv preprint arXiv:2404.08715. Under Revision at IISE Transactions.
  18. Su, B., Qing, L., Lu, L., Jung, S. H., Fang, X., & Xu, X. (2024). Classify mental stress levels with privacy-preserving machine learning. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 68(1).
  19. Zhou, C., & Fang, X. (2024). A supervised tensor dimension reduction-based prognostic model for applications with incomplete imaging data. INFORMS Journal on Data Science, 3(1), 84-104.
  20. Zhou, C., Su, Y., Xia, T., & Fang, X. (2023). Federated multilinear principal component analysis with applications in prognostics. arXiv preprint arXiv:2312.06050. Under Revision at Technometrics.
  21. Fang, X., Paynabar, K., & Gebraeel, N. (2023). A supervised dimension reduction-based prognostics model for applications with incomplete signals and censored failure times. Under Revision at IISE Transactions.
  22. Koprov, P., Gadhwala, S., Walimbe, A., Fang, X., & Starly, B. (2023). Systems and methods for authenticating manufacturing machines through an unobservable fingerprinting system. Manufacturing Letters, 35, 1009-1018.
  23. Jiang, Y., Xia, T., Fang, X., Wang, D., Pan, E., & Xi, L. (2023). Sparse hierarchical parallel residual networks ensemble for infrared image stream-based remaining useful life prediction. IEEE Transactions on Industrial Informatics, 19(10), 10613-10623.
  24. Zhou, C., & Fang, X. (2023). A convex two-dimensional variable selection method for the root-cause diagnostics of product defects. Reliability Engineering & System Safety, 229, 108827.
  25. Jeong, C., & Fang, X. (2022). Two-dimensional variable selection and its applications in the diagnostics of product quality defects. IISE Transactions, 54(7), 619-629.
  26. Jiang, Y., Xia, T., Wang, D., Fang, X., & Xi, L. (2022). Spatiotemporal denoising wavelet network for infrared thermography-based machine prognostics integrating ensemble uncertainty. Mechanical Systems and Signal Processing, 173, 109014.
  27. Jiang, Y., Xia, T., Wang, D., Fang, X., & Xi, L. (2022). Adversarial regressive domain adaptation approach for infrared thermography-based unsupervised remaining useful life prediction. IEEE Transactions on Industrial Informatics, 18(10), 7219-7229.
  28. Lin, F., Fang, X., & Gao, Z. (2022). Distributionally robust optimization: A review on theory and applications. Numerical Algebra, Control and Optimization, 12(1), 159-212.
  29. Qian, Q., Fang, X., Xu, J., & Li, M. (2021). Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process. Journal of Manufacturing Systems, 61, 375-390.
  30. Xia, T., Zhang, K., Sun, B., Fang, X., & Xi, L. (2021). Integrated remanufacturing and opportunistic maintenance decision-making for leased batch production lines. Journal of Manufacturing Science and Engineering, 143(8), 081003.
  31. Li, X., & Fang, X. (2021, June). Multistream sensor fusion-based prognostics model for systems under multiple operational conditions. In International Manufacturing Science and Engineering Conference (Vol. 85079, p. V002T09A003). American Society of Mechanical Engineers.
  32. Dong, Y., Xia, T., Wang, D., Fang, X., & Xi, L. (2021). Infrared image stream based regressors for contactless machine prognostics. Mechanical Systems and Signal Processing, 154, 107592.
  33. Li, N., Gebraeel, N., Lei, Y., Fang, X., Cai, X., & Yan, T. (2021). Remaining useful life prediction based on a multi-sensor data fusion model. Reliability Engineering & System Safety, 208, 107249.
  34. Fang, X., Yan, H., Gebraeel, N., & Paynabar, K. (2021). Multi-sensor prognostics modeling for applications with highly incomplete signals. IISE Transactions, 53(5), 597-613.
  35. Fang, X., Paynabar, K., & Gebraeel, N. (2019). Image-based prognostics using penalized tensor regression. Technometrics, 61(3), 369-384.
  36. Dong, Y., Xia, T., Fang, X., Zhang, Z., & Xi, L. (2019). Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures. Computers & Industrial Engineering, 133, 57-68.
  37. Xia, T., Fang, X., Gebraeel, N., Xi, L., & Pan, E. (2019). Online analytics framework of sensor-driven prognosis and opportunistic maintenance for mass customization. Journal of Manufacturing Science and Engineering, 141(5), 051011.
  38. Fang, X., Paynabar, K., & Gebraeel, N. (2018, January). Real-time predictive analytics using degradation image data. In 2018 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE.
  39. Fang, X., Gebraeel, N. Z., & Paynabar, K. (2017). Scalable prognostic models for large-scale condition monitoring applications. IISE Transactions, 49(7), 698-710.
  40. Xia, T., Xi, L., Pan, E., Fang, X., & Gebraeel, N. (2017). Lease-oriented opportunistic maintenance for multi-unit leased systems under product-service paradigm. Journal of Manufacturing Science and Engineering, 139(7), 071005.
  41. Fang, X., Paynabar, K., & Gebraeel, N. (2017). Multistream sensor fusion-based prognostics model for systems with single failure modes. Reliability Engineering & System Safety, 159, 322-331.
  42. Fang, X., Zhou, R., & Gebraeel, N. (2015). An adaptive functional regression-based prognostic model for applications with missing data. Reliability Engineering & System Safety, 133, 266-274.

Dissertation

  • Fang, X. (2018). Predictive Analytics for Complex Engineering Systems Using High-Dimensional Signals. Georgia Institute of Technology.