专著 Monographs

1. 李健，丁冬，《分类数据的统计过程控制》，ISBN:  978-7-03-065121-1，科学出版社，北京，2021.

期刊论文 Referred Journals

1. Luan, X., Zou, Q., Li, J., and Wang A., Efficient Online Cross-Covariance Monitoring with Incremental SVD: An Approach for the Detection of Emerging Dependency Patterns in IoT Systems. Quality and Reliability Engineering International, online, 2025.
2. Zou, Q., Li, J.*, Ding, D., and Tsung, F., Process Monitoring for Covariance Matrixes with Latent Structures. IISE Transactions, 57(9), 1015-1026, 2025.
3. Wang, K., Xu, W., and Li, J.*, An Efficient and Unified Statistical Monitoring Framework for Multivariate Autocorrelated Processes. Computers & Industrial Engineering, 198, 110675, 2024.
4. Bai, K., Li, J.*, and Ding, D., Two Approaches for Monitoring Multivariate Poisson Counts: Simple and Accurate. IISE Transactions, 56(1), 29-42, 2024.
5. Ding, D., Li, J.*, Tsung, F., and Li, Y., A Phase II Score-Based Distribution-Free Method for Jointly Monitoring Location and Scale. Quality and Reliability Engineering International, 39(7), 3030-3040, 2023.
6. Wang, K., Li, J.*, and Tsung, F., Efficient and Interpretable Monitoring of High-Dimensional Categorical Processes. IISE Transactions, 55(9), 886-900, 2023.

7. Li, J.*, Ding, D., and Tsung, F., Directional PCA for Fast Detection and Accurate Diagnosis: A Unified Framework. IEEE Transactions on Cybernetics, 52(11), 11362-11372, 2022.

8. Jing, H., Li, J.*, and Bai, K., Directional Monitoring and Diagnosis for Covariance Matrices. Journal of Applied Statistics, 49(6), 1449-1464, 2022.

9. Wang, K., Li, J.*, and Tsung, F., Distribution Inference from Early-Stage Stationary Data Streams by Transfer Learning. IISE Transactions, 54(3), 303-320, 2022.

10. Bai, K. and Li, J.*, Location-Scale Monitoring of Ordinal Categorical Processes, Naval Research Logistics, 68(7), 937-950, 2021.

11. Ding, D. and Li, J.*, Efficient Monitoring of Overdispersed Counts with Time-Varying Population Sizes. Computers and Industrial Engineering, 143, 106409, 2020.

12. Li, J., Zhou, Q., and Ding, D., Efficient Monitoring of Autocorrelated Poisson Counts. IISE Transactions, 52(7), 769-779, 2020.

13. Zhan, L., Wang, Z., Xu, Z., and Li, J., A Novel Method of Preparing Ultrafine ZnS Particles from Waste Zinc-Manganese Batteries by Evaporation-Separation, Sulfurization and Inert Gas Condensation. Nanotechnology, 31(13), 135601, 2020.

14. Xian, X., Archibald, R., Mayer, B., Liu, K., and Li, J., An Effective Online Data Monitoring and Saving Strategy for Large-Scale Climate Simulations. Quality Technology & Quantitative Management, 16(3), 330-346, 2019.

15. Xian, X., Li, J.*, and Liu, K., Causation-based Monitoring and Diagnosis for Multivariate Categorical Processes with Ordinal Information. IEEE Transactions on Automation Science and Engineering, 16(2), 886-897, 2019. (2020 IEEE Transactions on Automation Science and Engineering Best Paper Award - Honorable Mention)

16. Fan, W., Zhou, Q., Li, J., and Zhu, Z., A Wavelet-based Statistical Approach for Monitoring and Diagnosis of Compound Faults with Application to Rolling Bearings. IEEE Transactions on Automation Science and Engineering, 15(4), 1563-1572, 2018.

17. Wang, K., Li, J.*, and Tsung, F., Adaptive Monitoring of Multimodal Data. Computers & Industrial Engineering, 125, 364-374, 2018.

18. Li, J.*, Xu, J., and Zhou, Q., Monitoring Serially Dependent Categorical Processes with Ordinal Information. IISE Transactions, 50(7), 596-605, 2018. (IISE Transactions invited session paper at 2019 INFORMS Annual Meeting)

19. Wang, K., Li, J.*, and Tsung, F., Registration-Free Monitoring of Multimode Near-Circular Shape Profiles. Quality and Reliability Engineering International, 34(4), 529-542, 2018.

20. Wang, R., Li, J.*, and Xue, L., Joint Monitoring of Mean and Dispersion of Count Data. Journal of Industrial and Production Engineering, 35(4), 269-276, 2018. (EI-indexed)

21. Ding, D., Xiang, D., and Li, J.*, Directional Monitoring of Categorical Processes with Serial Dependence. Computers & Industrial Engineering, 113, 502-511, 2017.

22. Li, J. and Zhou, Q., A General Approach for Monitoring Serially Dependent Categorical Processes. Journal of Quality Technology, 49(4), 365-379, 2017.

23. Li, J.*, Liu, K., and Xian, X., Causation-based Process Monitoring and Diagnosis for Multivariate Categorical Processes. IISE Transactions, 49(3), 332-343, 2017. (2017 ISE Magazine feature article, IISE Transactions invited session discussion paper at 2018 INFORMS Annual Meeting)

24. Wang, J., Li, J., and Su, Q., Multivariate Ordinal Categorical Process Control based on Log-linear Modeling. Journal of Quality Technology, 49(2), 108-122, 2017.

25. Ding, D., Tsung, F., and Li, J.*, Ordinal Profile Monitoring with Random Explanatory Variables, International Journal of Production Research, 55(3), 736-749, 2017.

26. Ding, D., Tsung, F., and Li, J.*, Rank-based Process Control for Mixed-type Data. IIE Transactions, 48(7), 673-683, 2016. (2016 ISE Magazine feature article)

27. Ding, D., Tsung, F., and Li, J.*, Directional Control Schemes for Processes with Mixed-type Data. International Journal of Production Research, 54(6), 1594-1609, 2016.

28. Li, J., Tsung, F., and Zou, C., Multivariate Binomial/Multinomial Control Chart. IIE Transactions, 46(5), 526-542, 2014. (Best Student Paper Finalist Award in the Quality, Statistics and Reliability Cluster at 2010 INFORMS Annual Meeting)

29. Li, J., Tsung, F., and Zou, C., A Simple Categorical Chart for Detecting Location Shifts with Ordinal Information. International Journal of Production Research, 52(2), 550-562, 2014.

30. Li, J., Tsung, F., and Zou, C., Directional Change-Point Detection for Process Control with Multivariate Categorical Data. Naval Research Logistics, 60(2), 160-173, 2013.

31. Li, J., Tsung, F., and Zou, C., Directional Control Schemes for Multivariate Categorical Processes. Journal of Quality Technology, 44(2), 136-154, 2012. (First-Place of Best Student Paper Award at 2010 INFORMS Conference on Service Science)

会议论文 Referred Proceedings

1. Wang, J., Li, J., and Su, Q., Monitoring Categorical Processes by Integrating Ordinal Information. Proceedings of 2016 IEEE International Conference on Industrial Engineering and Engineering Management, December 4-7, 2016, Bali, Indonesia, 224-227.
2. Li, J. and Tsung, F., Statistical Quality Control for the Service Sector. Proceedings of the 59th ISI World Statistics Congress, August 25-30, 2013, Hong Kong, 939-944.
3. Li, J., Zhou, J., and Zhou, D., Fault Detection and Diagnosis of Singular Stochastic Distribution Systems. Proceedings of the 7th World Congress on Intelligent Control and Automation, June 25-27, 2008, Chongqing, China, 274-279.