Journals and Transactions

[1] Liu, K., and Shi, J. (2013), “Objective-Oriented Optimal Sensor Allocation Strategy for Process Monitoring and Diagnosis by Multivariate Analysis in a Bayesian Network”, IISE Transactions, 45, 630–643.
[2] Jin, R., and Liu, K. (2013), “Multistage Multimode Process Monitoring Based on a Piecewise Linear Regression Tree Considering Modeling Uncertainty”, IISE Transactions, 45, 617-629.
[3] Liu, K., Gebraeel, N., and Shi, J. (2013), “A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis”, IEEE Transactions on Automation Science and Engineering, 10, 652 – 664. (This paper received Best Student Paper Award in Data Mining Section of INFORMS, 2012)
[4] Liu, K., Jain, S., and Shi, J. (2013), “Physician Performance Assessment Using a Composite Quality Index”, Statistics in Medicine, 32, 15, 2661-2680. (This paper received Best Student Paper Award Finalist in Quality, Statistics, and Reliability Section of INFORMS, 2012)
[5] Liu, K., Zhang, X., and Shi, J. (2014), “Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network”, IEEE Transactions on Automation Science and Engineering, 11, 2, 452-462. (This paper received Best Student Paper Award in the Industrial and Systems Engineering Research Conference (ISERC), 2013)
[6] Liu, K., Mei, Y., and Shi, J. (2015), “An adaptive sampling strategy for online high-dimensional process monitoring”, Technometrics, 57, 3, 305-319.
[7] Liu, K., and Shi, J. (2015), “A Systematic Approach for Business Data Analytics with a Real Case Study”, International Journal of Business Analytics (IJBAN), 2, 4, 23-44.
[8] Liu, K., and Shi, J. (2015), “Internet of Things (IoT)-enabled System Informatics for Service Decision Making: Achievements, Trends, Challenges, and Opportunities”, IEEE Intelligent Systems, 30, 6, 18-21.
[9] Zhou, C., Liu, K., Zhang, X., Zhang, W., and Shi, J. (2016), "An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes", IEEE Transactions on Automation Science and Engineering, 13, 2, 1102 - 1111.
[10] Song, C.*, Liu, K., Zhang, X., Chen, L., and Xian, X.* (2016), “An OSA Screening Approach Using Discriminative Hidden Markov Models from a Single ECG Lead”, IEEE Transactions on Biomedical Engineering, 63, 7, 1532 - 1542. (This paper was selected as the Best Student Paper Finalist in the Industrial and Systems Engineering Research Conference (ISERC), 2015)
[11] Liu, K., and Huang, S. (2016), “Integration of Data Fusion Methodology with Degradation Modeling Process to Improve Prognostics”, IEEE Transactions on Automation Science and Engineering, 13, 1, 344 - 354.
[12] Yan, H., Liu, K., Zhang, X., and Shi, J. (2016), “Multiple Sensor Data Fusion for Degradation Modeling and Prognostics under Multiple Operational Conditions”, IEEE Transactions on Reliability, 65, 3, 1416 - 1426.
[13] Hao, L., Liu, K., Gebraeel, N., and Shi, J. (2017), “Controlling the Residual Life Distribution of Parallel Multi-component Systems Through Workload Adjustment”, IEEE Transactions on Automation Science and Engineering, 14, 2, 1042 - 1052.
[14] Liu, K., Chehade, A.*, and Song, C.* (2017), “Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis”, IEEE Transactions on Automation Science and Engineering, 63, 7, 1532 - 1542. (This paper received the Best Student Poster award in Quality, Statistics, and Reliability Section of INFORMS, 2015)
[15] Li, J., Liu, K., and Xian, X.* (2017), “Causation-based Process Monitoring and Diagnosis for Multivariate Categorical Processes”, IISE Transactions, 49, 3, 332-343. (Feature article in IIE Magazine)
[16] Chehade, A.*, Bonk, S.*, and Liu, K. (2017), “Sensory-based Failure Threshold Estimation for Remaining Useful Life Prediction”, IEEE Transactions on Reliability, 66, 3, 939-949
[17] Xian, X.*, Wang, A.*, and Liu, K. (2018), “A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams”, Technometrics, 60, 1, 14-25. (This paper received the Best Student Poster award in Quality, Statistics, and Reliability Section of INFORMS, 2016)
[18] Song, C.*, Liu, K., and Zhang, X. (2018), “Integration of Data-level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis”, IEEE Transactions on Reliability, 67, 2, 640-650.
[19] Chehade, A.*, Song, C.*, Liu, K., Saxena, A., and Zhang, X. (2018), “A Data-level Fusion Approach for Degradation Modeling and Prognostic Analysis under Multiple Failure Modes”, Journal of Quality Technology, 50, 2, 150-165. (This paper received the Best Student Paper Finalist award (2nd place) in the QCRE Section of Industrial and Systems Engineering Research Conference (ISERC), 2016).
[20] Lin, Y., Liu, K., Byon, E., Qian, X., and Huang, S. (2018), “A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population”, IEEE Transactions on Reliability, 67, 1, 328-341.
[21] Xian, X.*, Archibald, R., Mayer, B., Liu, K., and Li, J. (2019), “An Effective Online Data Monitoring and Saving Strategy for Large-Scale Climate Simulations”, Quality Technology & Quantitative Management, 16, 3, 330-346.
[22] Wang, A.*, Xian, X.*, Tsung, F., and Liu, K. (2018), “A Spatial Adaptive Sampling Procedure for Online Monitoring of Big Data Streams”, Journal of Quality Technology, 50, 4, 329-343.
[23] Song, C.*, and Liu, K. (2018), “Statistical Degradation Modeling and Prognostics of Multiple Sensor Signals via Data Fusion: A Composite Health Index Approach”, IISE Transactions, 50, 10, 853-867. (This paper received the Best Paper Finalist award (theoretical track) in the Data Mining Section of INFORMS, 2017).
[24] Chehade, A.*, and Liu, K. (2019), “Structural Degradation Modeling Framework for Sparse Datasets with an application on Alzheimer’s Disease”, IEEE Transactions on Automation Science and Engineering, 16, 1, 192 - 205.
[25] Wang, D., Liu, K., and Zhang, X. (2019), “Modeling of a three-dimensional dynamic thermal field under grid-based sensor networks in grain storage”, IISE Transactions, 51, 5, 531-546. (Feature article in ISE Magazine)
[26] Xian, X.*, Li, J., and Liu, K. (2019), “Causation-based Monitoring and Diagnosis for Multivariate Categorical Processes with Ordinal Information”, IEEE Transactions on Automation Science and Engineering, 16, 2, 886-897.
[27] Song, C.*, Liu, K., and Zhang, X. (2019), “A Generic Framework for Multisensor Degradation Modeling based on Supervised Classification and Failure Surface”, in press, IISE Transactions.
[28] Feng, T., Qian, X., Liu, K., and Huang, S. (2019), “Dynamic Inspection of Latent Variables in State-Space Systems”, in press, IEEE Transactions on Automation Science and Engineering.
[29] Kim, M.*, Song, C.*, and Liu, K. (2019), “A Generic Health Index Approach for Multisensor Degradation Modeling and Sensor Selection”, in press, IEEE Transactions on Automation Science and Engineering.

Other publications

[1] Lin, Y., Liu, K., Byon, E., Qian, X., and Huang, S. (2015), “Domain-Knowledge Driven Cognitive Degradation Modeling of Alzheimer’s Disease”, The SIAM International Conference on Data Mining, 721-729.
[2] Liu, K. (2015), “Industrial data analytics courses: need, content and expectations – insights from 2015 ISERC panel discussion”, Industrial Engineer, 48, 4, 43-46. (Feature article in IIE Magazine)
[3] Liu, K., Klabjan, D., Shmoys, D., and Sokol, J. (2016), “Present and future of analytics education”, ORMS Today, 43, 5, 32-35. (Feature article in INFORMS Magazine)
*Students are advised by me