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Li, X.; Jia, X.; Yang, Q.; Lee, J. 2020. Quality analysis in metal additive manufacturing with deep learning Journal of Intelligent Manufacturing, 383 , 235-247
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Azamfar, M.; Jia, X.; Pandhare, V.; Singh, J.; Davari, H.; Lee, J. 2019. Detection and diagnosis of bottle capping failures based on motor current signature analysis Procedia Manufacturing, 34 4 , 840-846
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Feng, J.; Jia, X.; Zhu, F.; Moyne, J.; Iskandar, J.; Lee, J. 2019. An online virtual metrology model with sample selection for the tracking of dynamic manufacturing processes with slow drift IEEE transactions on semiconductor manufacturing, 32 4 , 574-582
Feng, J.; Jia, X.; Zhu, F.; Yang, Q.; Pan, Y.; Lee, J. 2019. An intelligent system for offshore wind farm maintenance scheduling optimization considering turbine production loss Journal of Intelligent and Fuzzy Systems, 37 5 , 6911-6923
Jia, X.; Duan, S.; Lee, C.; Radecki, P.; Lee, J. 2019. A methodology for the early diagnosis of vehicle torque converter clutch degradation IEEE transactions on semiconductor manufacturing, 2019-August 2 , 529-534
Jia, X.; Cai, H.; Hsu, Y.; Li, W.; Feng, J.; Lee, J. 2019. A novel similarity-based method for remaining useful life prediction using kernel two sample test IEEE transactions on semiconductor manufacturing, 11 2 , 529-534
Li, P.; Jia, X.; Sumiya, M.; Kamaji, Y.; Ishiguro, M.; Pahren, L.; Lee, J. 2019. A novel method for deposit accumulation assessment in dry etching chamber IEEE transactions on semiconductor manufacturing, 32 2 , 183-189
Pan, Y.; Hong, R.; Chen, J.; Singh, J.; Jia, X. 2019. Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion Mechanism and Machine Theory, 137 , 509-526
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Jia, X.; Jin, C.; Buzza, M.; Di, Y.; Siegel, D.; Lee, J. 2018. A deviation based assessment methodology for multiple machine health patterns classification and fault detection Mechanical Systems and Signal Processing, 99 7 , 244-261
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Zhao, M.; Jia, X. 2017. A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery Mechanical Systems and Signal Processing, 94 7 , 129-147
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Feng J.; Jia X.; Cai H.; Zhu F.; Li X.; Lee J. 09-01-2021. Cross Trajectory Gaussian Process Regression Model for Battery Health Prediction Journal of Modern Power Systems and Clean Energy, 9 5, 1217-1226
Yang Q.; Jia X.; Li X.; Feng J.; Li W.; Lee J. 06-01-2021. Evaluating Feature Selection and Anomaly Detection Methods of Hard Drive Failure Prediction IEEE Transactions on Reliability, 70 2, 749-760
Di Y.; Jia X.; Lee J. 06-01-2017. Enhanced virtual metrology on chemical mechanical planarization process using an integrated model an International Journal of Prognostics and Health Management, 8 2,
Hsu Y.M.; Jia X.; Li W.; Manganaris P.; Lee J. 05-01-2022. Sequential optimization of the injection molding gate locations using parallel efficient global opti International Journal of Advanced Manufacturing Technology, 120 5-6, 3805-3819
Wang C.; Dani J.; Li X.; Jia X.; Wang B. 04-26-2021. Adaptive Fingerprinting: Website Fingerprinting over Few Encrypted Traffic CODASPY 2021 - Proceedings of the 11th ACM Conference on Data and Application Security and Privacy, , 149-160
Lee J.; Siahpour S.; Jia X.; Brown P. 04-01-2022. Introduction to resilient manufacturing systems Manufacturing Letters, 32 , 24-27
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Li W.; Jia X.; Hsu Y.M.; Liao C.H.; Wang Y.; Lin M.T.; Lee J. 01-01-2022. A Novel Methodology for Lens Matching in Compact Lens Module Assembly IEEE Transactions on Automation Science and Engineering, ,
Lu C.; Jia X.; Lee J.; Shi J. 01-01-2022. Knowledge transfer using Bayesian learning for predicting the process-property relationship of Incon Virtual and Physical Prototyping, 17 4, 787-805
Lee J.; Sun K.; Jia X.; Li X.; Yang Q. 01-01-2021. Collaborative platform for remote manufacturing systems using industrial internet and digital twin i Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference, MSEC 2021, 2 ,
Pandhare V.; Li X.; Miller M.; Jia X.; Lee J. 01-01-2021. Intelligent Diagnostics for Ball Screw Fault through Indirect Sensing Using Deep Domain Adaptation IEEE Transactions on Instrumentation and Measurement, 70 ,
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Yang S.; Li X.; Jia X.; Wang Y.; Zhao H.; Lee J. 01-01-2020. Deep learning-based intelligent defect detection of cutting wheels with industrial images in manufac , 48 , 902-907