Li, Wenzhe, Xiaodong Jia, Yuan-Ming Hsu, Chen-Hung Liao, Yunfei Wang, Mong-Tung Lin, and Jay Lee. “A Novel Methodology for Lens Matching in Compact Lens Module Assembly.” IEEE Transactions on Automation Science and Engineering 20, no. 2 (April 2023): 741–50. <DOI>

Kundu, Pradeep, Marcella Miller, Prayag Gore, Xiaodong Jia, and Jay Lee. “Detection of Inception of Preload Loss and Remaining Life Prediction for Ball Screw Considering Change in Dynamics Due to Worktable Position.” Mechanical Systems and Signal Processing 189 (April 2023): 110075. <DOI>

Zhu, Feng, Xiaodong Jia, Wenzhe Li, Min Xie, Lishuai Li, and Jay Lee. “Cross-Chamber Data Transferability Evaluation for Fault Detection and Classification in Semiconductor Manufacturing.” IEEE Transactions on Semiconductor Manufacturing 36, no. 1 (February 2023): 68–77. <DOI>

Hsu, Yuan-Ming, Dai-Yan Ji, Marcella Miller, Xiaodong Jia, and Jay Lee. “Intelligent Maintenance of Electric Vehicle Battery Charging Systems and Networks: Challenges and Opportunities.” International Journal of Prognostics and Health Management 14, no. 3 (February 2023). <DOI>

Leitão, Paulo, Stamatis Karnouskos, Thomas I. Strasser, Xiaodong Jia, Jay Lee, and Armando Walter Colombo. “Alignment of the IEEE Industrial Agents Recommended Practice Standard With the Reference Architectures RAMI4.0, IIRA, and SGAM.” IEEE Open Journal of the Industrial Electronics Society 4 (2023): 98–111. <DOI>

Lee, Jay, Prayag Gore, Xiaodong Jia, Shahin Siahpour, Pradeep Kundu, and Keyi Sun. “Stream-of-Quality Methodology for Industrial Internet-Based Manufacturing System.” Manufacturing Letters 34 (October 2022): 58–61. <DOI>

Lu, Cuiyuan, Xiaodong Jia, Jay Lee, and Jing Shi. “Knowledge Transfer Using Bayesian Learning for Predicting the Process-Property Relationship of Inconel Alloys Obtained by Laser Powder Bed Fusion.” Virtual and Physical Prototyping 17, no. 4 (October 2022): 787–805. <DOI>

Hsu, Yuan-Ming, Xiaodong Jia, Wenzhe Li, Panayotis Manganaris, and Jay Lee. “Sequential Optimization of the Injection Molding Gate Locations Using Parallel Efficient Global Optimization.” The International Journal of Advanced Manufacturing Technology 120, no. 5–6 (May 2022): 3805–19. <DOI>

Lee, Jay, Shahin Siahpour, Xiaodong Jia, and Patrick Brown. “Introduction to Resilient Manufacturing Systems.” Manufacturing Letters 32 (April 2022): 24–27. <DOI>

Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Qibo Yang, Wenzhe Li, Fei Li, and Jay Lee. “A Unified Bayesian Filtering Framework for Multi-Horizon Wind Speed Prediction with Improved Accuracy.” Renewable Energy 178 (November 2021): 709–19. <DOI>

Yang, Qibo, Xiaodong Jia, Xiang Li, Jianshe Feng, Wenzhe Li, and Jay Lee. “Evaluating Feature Selection and Anomaly Detection Methods of Hard Drive Failure Prediction.” IEEE Transactions on Reliability 70, no. 2 (June 2021): 749–60. <DOI>

Zhu, Feng, Xiaodong Jia, Marcella Miller, Xiang Li, Fei Li, Yinglu Wang, and Jay Lee. “Methodology for Important Sensor Screening for Fault Detection and Classification in Semiconductor Manufacturing.” IEEE Transactions on Semiconductor Manufacturing 34, no. 1 (February 2021): 65–73. <DOI>

Li, Wenzhe, Xiaodong Jia, Xiang Li, Yinglu Wang, and Jay Lee. “A Markov Model for Short Term Wind Speed Prediction by Integrating the Wind Acceleration Information.” Renewable Energy 164 (February 2021): 242–53. <DOI>

Feng, Jianshe, Xiaodong Jia, Haoshu Cai, Feng Zhu, Xiang Li, and Jay Lee. “Cross Trajectory Gaussian Process Regression Model for Battery Health Prediction.” Journal of Modern Power Systems and Clean Energy 9, no. 5 (2021): 1217–26. <DOI>

Pandhare, Vibhor, Xiang Li, Marcella Miller, Xiaodong Jia, and Jay Lee. “Intelligent Diagnostics for Ball Screw Fault Through Indirect Sensing Using Deep Domain Adaptation.” IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–11. <DOI>

Li, Xiang, Xiaodong Jia, Qibo Yang, and Jay Lee. “Quality Analysis in Metal Additive Manufacturing with Deep Learning.” Journal of Intelligent Manufacturing 31, no. 8 (December 2020): 2003–17. <DOI>

Di, Yuan, Xiaodong Jia, and Jay Lee. “Enhanced Virtual Metrology on Chemical Mechanical Planarization Process Using an Integrated Model and Data-Driven Approach.” International Journal of Prognostics and Health Management 8, no. 2 (November 2020). <DOI>

Li, Xiang, Xiaodong Jia, Yinglu Wang, Shaojie Yang, Haodong Zhao, and Jay Lee. “Industrial Remaining Useful Life Prediction by Partial Observation Using Deep Learning With Supervised Attention.” IEEE/ASME Transactions on Mechatronics 25, no. 5 (October 2020): 2241–51. <DOI>

Dai, Honghao, Xiaodong Jia, Laura Pahren, Jay Lee, and Brandon Foreman. “Intracranial Pressure Monitoring Signals After Traumatic Brain Injury: A Narrative Overview and Conceptual Data Science Framework.” Frontiers in Neurology 11 (August 2020): 959. <DOI>

Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Wenzhe Li, Laura Pahren, and Jay Lee. “A Similarity Based Methodology for Machine Prognostics by Using Kernel Two Sample Test.” ISA Transactions 103 (August 2020): 112–21. <DOI>

Li, Xiang, Xiaodong Jia, Wei Zhang, Hui Ma, Zhong Luo, and Xu Li. “Intelligent Cross-Machine Fault Diagnosis Approach with Deep Auto-Encoder and Domain Adaptation.” Neurocomputing 383 (March 2020): 235–47. <DOI>

Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Wenzhe Li, Yuan-Ming Hsu, and Jay Lee. “Gaussian Process Regression for Numerical Wind Speed Prediction Enhancement.” Renewable Energy 146 (February 2020): 2112–23. <DOI>

Zhang, Wei, Xiang Li, Xiaodong Jia, Hui Ma, Zhong Luo, and Xu Li. “Machinery Fault Diagnosis with Imbalanced Data Using Deep Generative Adversarial Networks.” Measurement 152 (February 2020): 107377. <DOI>

Li, Pin, Xiaodong Jia, Jianshe Feng, Feng Zhu, Marcella Miller, Liang-Yu Chen, and Jay Lee. “A Novel Scalable Method for Machine Degradation Assessment Using Deep Convolutional Neural Network.” Measurement 151 (February 2020): 107106. <DOI>

Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Wenzhe Li, Yuan-Ming Hsu, and Jay Lee. “Gaussian Process Regression for Numerical Wind Speed Prediction Enhancement.” Renewable Energy 146 (February 2020): 2112–23. <DOI>

Peres, Ricardo Silva, Xiaodong Jia, Jay Lee, Keyi Sun, Armando Walter Colombo, and Jose Barata. “Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook.” IEEE Access 8 (2020): 220121–39. <DOI>

Feng, Jianshe, Xiaodong Jia, Feng Zhu, James Moyne, Jimmy Iskandar, and Jay Lee. “An Online Virtual Metrology Model With Sample Selection for the Tracking of Dynamic Manufacturing Processes With Slow Drift.” IEEE Transactions on Semiconductor Manufacturing 32, no. 4 (November 2019): 574–82. <DOI>

Feng, Jianshe, Xiaodong Jia, Feng Zhu, Qibo Yang, Yubin Pan, and Jay Lee. “An Intelligent System for Offshore Wind Farm Maintenance Scheduling Optimization Considering Turbine Production Loss.” Journal of Intelligent & Fuzzy Systems 37, no. 5 (November 2019): 6911–23. <DOI>

Pan, Yubin, Rongjing Hong, Jie Chen, Jaskaran Singh, and Xiaodong Jia. “Performance Degradation Assessment of a Wind Turbine Gearbox Based on Multi-Sensor Data Fusion.” Mechanism and Machine Theory 137 (July 2019): 509–26. <DOI>

Cai, Haoshu, Xiaodong Jia, Jianshe Feng, Qibo Yang, Yuan-Ming Hsu, Yudi Chen, and Jay Lee. “A Combined Filtering Strategy for Short Term and Long Term Wind Speed Prediction with Improved Accuracy.” Renewable Energy 136 (June 2019): 1082–90. <DOI>

Li, Pin, Xiaodong Jia, Masahiro Sumiya, Yoshito Kamaji, Masaki Ishiguro, Laura Pahren, and Jay Lee. “A Novel Method for Deposit Accumulation Assessment in Dry Etching Chamber.” IEEE Transactions on Semiconductor Manufacturing 32, no. 2 (May 2019): 183–89. <DOI>

Jia, Xiaodong. “Data Suitability Assessment and Enhancement for Machine Prognostics and Health Management Using Maximum Mean Discrepancy.” PhD Thesis, University of Cincinnati, 2018. <LINK>

Li, Pin, Xiaodong Jia, Jianshe Feng, Hossein Davari, Guan Qiao, Yihchyun Hwang, and Jay Lee. “Prognosability Study of Ball Screw Degradation Using Systematic Methodology.” Mechanical Systems and Signal Processing 109 (September 2018): 45–57. <DOI>

Jia, Xiaodong, Ming Zhao, Yuan Di, Qibo Yang, and Jay Lee. “Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy.” IEEE Transactions on Industrial Electronics 65, no. 7 (July 2018): 5872–81. <DOI>

Jia, Xiaodong, Ming Zhao, Yuan Di, Pin Li, and Jay Lee. “Sparse Filtering with the Generalized Lp / Lq Norm and Its Applications to the Condition Monitoring of Rotating Machinery.” Mechanical Systems and Signal Processing 102 (March 2018): 198–213. <DOI>

Jia, Xiaodong, Yuan Di, Jianshe Feng, Qibo Yang, Honghao Dai, and Jay Lee. “Adaptive Virtual Metrology for Semiconductor Chemical Mechanical Planarization Process Using GMDH-Type Polynomial Neural Networks.” Journal of Process Control 62 (February 2018): 44–54. <DOI>

Zhao, Ming, Xiaodong Jia, Jing Lin, Yaguo Lei, and Jay Lee. “Instantaneous Speed Jitter Detection via Encoder Signal and Its Application for the Diagnosis of Planetary Gearbox.” Mechanical Systems and Signal Processing 98 (January 2018): 16–31. <DOI>

Jia, Xiaodong, Chao Jin, Matt Buzza, Yuan Di, David Siegel, and Jay Lee. “A Deviation Based Assessment Methodology for Multiple Machine Health Patterns Classification and Fault Detection.” Mechanical Systems and Signal Processing 99 (January 2018): 244–61. <DOI>

Zhao, Ming, and Xiaodong Jia. “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 (September 2017): 129–47. <DOI>

Li, Long, Xiaodong Jia, and Yongwen Liu. “Modified Outlet Boundary Condition Schemes for Large Density Ratio Lattice Boltzmann Models.” Journal of Heat Transfer 139, no. 5 (May 2017): 052003. <DOI>

Jia, Xiaodong, Ming Zhao, Matt Buzza, Yuan Di, and Jay Lee. “A Geometrical Investigation on the Generalized l p /l q Norm for Blind Deconvolution.” Signal Processing 134 (May 2017): 63–69. <DOI>

Jia, Xiaodong, Ming Zhao, Yuan Di, Chao Jin, and Jay Lee. “Investigation on the Kurtosis Filter and the Derivation of Convolutional Sparse Filter for Impulsive Signature Enhancement.” Journal of Sound and Vibration 386 (January 2017): 433–48. <DOI>

Jia, Xiaodong, Chao Jin, Matt Buzza, Wei Wang, and Jay Lee. “Wind Turbine Performance Degradation Assessment Based on a Novel Similarity Metric for Machine Performance Curves.” Renewable Energy 99 (December 2016): 1191–1201. <DOI>

Li, Long, Xiaodong Jia, Yongwen Liu, and Ming Su. “Simulation of Double Droplets Impact on Liquid Film by a Simplified Lattice Boltzmann Model.” Applied Thermal Engineering 98 (April 2016): 656–69. <DOI>

Han, Xu, Xiaodong Jia, Dai-Yan Ji, and Jay Lee. “Designing Robust Topological Features for Wafer Map Pattern Classification.” In 2023 34th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC), 1–6. Saratoga Springs, NY, USA: IEEE, 2023. <DOI>

Hsu, Yuan-Ming, Xiaodong Jia, Wenzhe Li, and Jay Lee. “A Novel Quality Clustering Methodology on Fab-Wide Wafer Map Images in Semiconductor Manufacturing.” In Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A022. West Lafayette, Indiana, USA: American Society of Mechanical Engineers, 2022. <DOI>

Jia, Xiaodong, Da-Yan Ji, Takanobu Minami, and Jay Lee. “Data Quality and Usability Assessment Methodology for Prognostics and Health Management: A Systematic Framework.” IFAC-PapersOnLine 55, no. 19 (2022): 55–60. <DOI>

Pahren, Laura, Paul Thomas, Xiaodong Jia, and Jay Lee. “A Novel Method in Intelligent Synthetic Data Creation for Machine Learning-Based Manufacturing Quality Control.” IFAC-PapersOnLine 55, no. 19 (2022): 73–78. <DOI>

Li, Wenzhe, Xiaodong Jia, Yuan-Ming Hsu, Youwen Liu, and Jay Lee. “Methodology on Establishing Multivariate Failure Thresholds for Improved Remaining Useful Life Prediction in PHM.” Annual Conference of the PHM Society 13, no. 1 (November 2021). <DOI>

Vibhor Pandhare, Xiaodong Jia, and Jay Lee. “Collaborative Prognostics for Machine Fleets Using a Novel Federated Baseline Learner.” Annual Conference of the PHM Society 13, no. 1 (November 2021). <DOI>

Lee, Jay, Xiaodong Jia, Qibo Yang, Keyi Sun, and Xiang Li. “Collaborative Platform for Remote Manufacturing Systems Using Industrial Internet and Digital Twin in the COVID-19 Era.” In Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A018. Virtual, Online: American Society of Mechanical Engineers, 2021. <DOI>

Wang, Chenggang, Jimmy Dani, Xiang Li, Xiaodong Jia, and Boyang Wang. “Adaptive Fingerprinting: Website Fingerprinting over Few Encrypted Traffic.” In Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy, 149–60. Virtual Event USA: ACM, 2021. <DOI>

Wang, Yinglu, Xiaodong Jia, Xiang Li, Shaojie Yang, Haodong Zhao, and Jay Lee. “A Machine Vision Based Monitoring System for the LCD Panel Cutting Wheel Degradation.” Procedia Manufacturing 48 (2020): 49–53. <DOI>

Yang, Shaojie, Xiang Li, Xiaodong Jia, Yinglu Wang, Haodong Zhao, and Jay Lee. “Deep Learning-Based Intelligent Defect Detection of Cutting Wheels with Industrial Images in Manufacturing.” Procedia Manufacturing 48 (2020): 902–7. <DOI>

Jia, Xiaodong, Wenzhe Li, Wei Wang, Xiang Li, and Jay Lee. “Development of Multivariate Failure Threshold with Quantifiable Operation Risks in Machine Prognostics.” Annual Conference of the PHM Society 12, no. 1 (November 2020): 9. <DOI>

Jia, Xiaodong, Haoshu Cai, Yuanming Hsu, Wenzhe Li, Jianshe Feng, and Jay Lee. “A Novel Similarity-Based Method for Remaining Useful Life Prediction Using Kernel Two Sample Test.” Annual Conference of the PHM Society 11, no. 1 (September 2019). <DOI>

Jia, Xiaodong, Shiming Duan, Chunhao Lee, Peter Radecki, and Jay Lee. “A Methodology for the Early Diagnosis of Vehicle Torque Converter Clutch Degradation.” In 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 529–34. Vancouver, BC, Canada: IEEE, 2019. <DOI>

Azamfar, Moslem, Xiaodong Jia, Vibhor Pandhare, Jaskaran Singh, Hoseein Davari, and Jay Lee. “Detection and Diagnosis of Bottle Capping Failures Based on Motor Current Signature Analysis.” Procedia Manufacturing 34 (2019): 840–46. <DOI>

Jia, Xiaodong, Bin Huang, Jianshe Feng, Haoshu Cai, and Jay Lee. “Review of PHM Data Competitions from 2008 to 2017: Methodologies and Analytics.” Annual Conference of the PHM Society 10, no. 1 (September 2018). <DOI>

Duan, Shiming, Chunhao J. Lee, Zhen Zhang, Peter P. Radecki, and Xiaodong Jia. Torque converter clutch control system health estimation. US10948079B2, issued March 2021. <LINK>