Research

Refereed Journal Papers:

[Note: We focus on advancing fundamental research of data analytics for advanced manufacturing. We try to make our research open-sourced so that you can repeat our research results easily. Please find the open-sourced code via this link: https://github.com/xwygt, and let us know if you have any question.]


34. Lee, C., Wang, X., Wu, J., Yue, X.*, (2022+) “Failure-averse Active Learning for physics-constrained systems”, IEEE Transactions on Automation Science and Engineering, (accepted).

  • INFORMS Data Mining Decision Analytics Best Theoretical Paper Award Finalist in 2022.

33. Wang, Y., Sun, W., Jin, J., Kong, Z., Yue, X.*, (2022+) “MVGCN: Multi-view Graph Convolutional Neural Network for Surface Defect Identification using 3D Point Cloud”, ASME Transactions, Journal of Manufacturing Science and Engineering, (accepted).

32. Wang, Y., Wang, M., AlBahar, A., Yue, X.*, (2022+) “Nested Bayesian Optimization for Computer Experiments”, IEEE/ASME Transactions on Mechatronics, (accepted).

31. AlBahar, A., Kim, I., Wang, X., Yue, X.*, (2022+) “Physics-Constrained Bayesian Optimization for Optimal Actuators Placement in Composite Structures Assembly”, IEEE Transactions on Automation Science and Engineering, (accepted).

30. Gao, Y., Wang, X., Son, J., Yue, X., Wu, J., (2022+) “Hierarchical Modeling of Microstructural Images for Porosity Prediction in Metal Additive Manufacturing via Two-point Correlation Function”, IISE Transactions, (accepted).

29. Mou, S., Biehler, M., Yue, X.*, Hunt, J. H., Shi, J.,(2022+) “SPAC: Sparse Sensor Placement Based Adaptive Control for High Precision Fuselage Assembly”, IISE Transactions, (accepted).

  • IISE Data Analytics and Information System (DAIS) Best Student Paper Award Finalist, 2022.

28. Li, Z., Li, Y., Yue, X., Zio E., Wu. J., (2022+) “A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction”, IEEE Transactions on Instrumentation & Measurement, in press.

27. Xu, R., Wu, J., Yue, X., Li, Y., (2022) “Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning”, Technometrics, DOI: 10.1080/00401706.2022.2046171.

  • INFORMS QSR Best Student Paper Award Finalist in 2020

26. Wang, W., Yue, X., Haaland, B., Wu, J., (2022) “Gaussian Process with Input Location Error and Applications to the Composite Parts Assembly Process”, SIAM/ASA Journal on Uncertainty Quantification, 10(2), pp.619-650.

25. Liu, Y., Zhao, W., Liu, H., Wang, Y., Yue, X.,(2022) “Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty”, IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2022.3142756.

24. AlBahar, A., Kim, I., Yue, X., (2022) “A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems”, IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2021.3114157.

23. Liu, Y., Zhao, W., Lutz, T. and Yue, X., (2021). Task Allocation and Coordinated Motion Planning for Autonomous Multi-Robot Optical Inspection Systems. Journal of Intelligent Manufacturing. [ArXiv]

22. Lahoti, G., Chen, J., Yue, X., Yan, H., Ranjan, C., Qian, Z., ... & Wang, B. (2021). "Image Decomposition-based Sparse Extreme Pixel-level Feature Detection with Application to Medical Images". IISE Transactions on Healthcare Systems Engineering, (accepted), 1-32.

21. Wang, R., Wang, Y., Devadiga, S., Perkins, I., Kong, Z., Yue, X.*, (2021) “Structured Light Three-Dimensional Scanning for Process Monitoring and Quality Control in Precast Concrete Production”, PCI Journal, November-December, 2021.

  • Robert L. Lyman Award in 2022

20. Wang, Y., Guo, W. G., & Yue, X. (2021). "Tensor decomposition to compress convolutional layers in deep learning". IISE Transactions, 1-60. [ArXiv][Code][Code-Option 2]

  • Research Featured by the ISE Magazine.

  • Editor's Choice to an IISE Transactions Invited Session at INFORMS 2021.

19. Wang, Y., Wang, K., Cai, W., & Yue, X.* (2021). "NP-ODE: Neural process aided ordinary differential equations for uncertainty quantification of finite element analysis". IISE Transactions, 1-16.[ArXiv][Code][Code-Option 2]

  • NAMRC/MSEC Best Poster Award in 2021.

  • INFORMS Quality Statistics and Reliability Best Student Paper Award Finalist in 2021.

18. Wang*, Y., Oyen, D., Guo, W., Mehta, A., Scott, C.B., Panda, N., Fernandez-Godino, M.G., Srinivasan, G., Yue, X., (2021) "StressNet - Deep learning to predict stress with fracture propagation in brittle materials", NPJ Materials Degradation, 5, 6.

17. Lee*, C., Wu, J., Wang, W., Yue, X., (2021) “Neural Network Gaussian Process considering Input Uncertainty for Composite Structures Assembly”, IEEE/ASME Transactions on Mechatronics, (accepted). [ArXiv]

  • IISE Data Analytics & Information Systems Best Student Paper Award in 2020.

  • QPRC Best Poster Award in 2021.

16. Wang, K., Wang, Y.*, Yue, X., Cai, W. (2020+) “Multiphysics Modeling and Uncertainty Quantification of Tribocorrosion in Aluminum Alloys”, Corrosion Science, (in press).

15. Li, Z., Wu, J., Yue, X., (2020+) “A Shape Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction”, IEEE Transactions on Neural Networks and Learning Systems, (in press).

14. Wang, Y., Yue, X., Tuo, R., Hunt, J.H., Shi, J., (2020+) "Effective Model Calibration via Sensible Variable Identification and Adjustment for Composite Fuselage Simulation", Annals of Applied Statistics, (in press). [ArXiv]

  • 2017 INFORMS Quality, Statistics and Reliability (QSR) Best Refereed Paper Award Finalist.

13. Gao, Z., Guo, W., Yue, X., (2021) “Optimal Integration of Supervised Tensor Decomposition and Ensemble Learning for in-situ Quality Evaluation in Friction Stir Blind Riveting”, IEEE Transactions on Automation Science and Engineering, in press.

12. Yue, X., Wen, Y., Hunt, J.H., Shi, J., (2021) " Active Learning for Gaussian Process considering Uncertainties, with an Application to Automatic Shape Control of Composite Fuselage", IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2020.2990401 . [ArXiv]

11. Liu, Y., Zhao, W., Sun, R., Yue, X., (2020) “Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces”, Journal of Manufacturing Systems, (in press). [ArXiv]

10. Shi, X., Yue, X., Liang, Z., Shi, J., (2020) “Real-time Data-driven Quality Assessment for Continuous Manufacturing of Carbon Nanotube Buckypaper”, IEEE Transactions on Nanotechnology, DOI: 10.1109/TNANO.2020.2989397. [ArXiv]

9. Du, J., Yue, X., Hunt, J. H., Shi, J., (2019) “Optimal Placement of Actuators for Composite Fuselage Shape Control”, ASME Transactions, Journal of Manufacturing Science and Engineering, 141(10) .

  • 2018 INFORMS Quality, Statistics and Reliability (QSR) Best Refereed Paper Finalist.

8. Yue, X., Park, J. G., Liang, Z., Shi, J., (2020) “Tensor Mixed Effects Model with Application in Nanomanufacturing Inspection”, Technometrics, 62(1), pp.116-129. [ArXiv]

  • 2017 INFORMS Data Mining Best Paper Finalist Award.

7. Wen, Y., Yue, X., Hunt, J.H., Shi, J., (2019) "Virtual Assembly and Residual Stress Analysis for Composite Fuselage Assembly Process", Journal of Manufacturing Systems, 52, pp.55-62.

6. Yue, X., Wen, Y., Hunt, J. H., Shi, J., (2018) “Surrogate Model based Control Considering Uncertainty for Composite Fuselage Assembly”, ASME Transactions, Journal of Manufacturing Science and Engineering, 140(4), pp.041017-041017-13. doi: 10.1115/1.4038510.

  • 2017 INFORMS Best Poster Presentation Award.

  • Invited poster to National Academy of Engineering Regional Meeting, 2018.

5. Yue, X., Yan, H., Park, J. G., Liang, Z., Shi, J., (2018) “A Wavelet-based Penalized Mixed-Effects Decomposition for Multichannel Profile Monitoring based on In-line Raman Spectroscopy”, IEEE Transactions on Automation Science and Engineering, 15(3), pp.1258-1271.

[Code & Data on GitHub or Code Ocean]

  • Featured article recommended by the Editor to present in IEEE-TASE invited Session at INFORMS 2018.

4. Yue, X., Shi, J., (2018) “Surrogate-Model based Optimal Feed-forward Control for Dimensional Variation Reduction in Composites Assembly Processes”, Journal of Quality Technology, 50(3), pp.279-289.

3. Wen, Y., Yue, X., Hunt, J. H., Shi, J., (2018) “Feasibility Analysis of Composite Fuselage Shape Control via Finite Element Analysis”, Journal of Manufacturing Systems, 42, pp.272-281.

2. Yue, X., Wang, K., Yan, H., Park, J. G., Liang, Z., Zhang, C., Wang, B., Shi, J., (2017) “Generalized Wavelet Shrinkage of In-line Raman Spectroscopy for Quality Monitoring of Continuous Nanomanufacturing for Buckypaper”, IEEE Transactions on Automation Science and Engineering, 14(1), pp.196-207.

  • IEEE Transactions on Automation Science and Engineering Best Paper Award.

1. Zhang, J., Lv, C., Yue, X., Li, Y. and Yuan, Y., (2014) “Study on a Linear Relationship Between Limited Pressure Difference and Coil Current of On/Off Valve and Its Influential Factors”, ISA Transactions, 53(1), pp.150-161.

  • NSK Sino-Japan Friendship Outstanding Mechanical Engineering Paper Prize.



Ph.D. Dissertation:

Yue, X., 2018. "Engineering-driven Data Analytics for In Situ Process Monitoring of Nanomanufacturing" (Doctoral dissertation, Georgia Institute of Technology).

  • IISE Pritsker Doctoral Dissertation Award.

  • Elwood S. Buffa Doctoral Dissertation Award Finalist.

Refereed Conference Papers (published in proceedings):

1. Yue, X., Zhang, J., Lv, C., Gou, J. and Kong, D., (2012) “Computational simulation on VSC based on PID coordinated control algorithm and differential brake”, In 2012 IEEE Vehicle Power and Propulsion Conference, Korea.

2. Gou, J., Wang, L., Liao, C., Zhang, J., Yue, X., (2012) “The coordinated control of motor regenerative braking torques defined by accelerator pedal and brake pedal of electric vehicle”, In 2012 IEEE Vehicle Power and Propulsion Conference, Korea.

3. Zhang, J., Lv, C., Yue, X., Qiu, M., Gou, J. and He, C., (2013) “Development of the Electrically-Controlled Regenerative Braking System for Electrified Passenger Vehicle”, SAE Technical Paper, 2013-01-1463.

4. Yue, X., (2019) “Data Decomposition for Analytics of Engineering Systems: Literature Review, Methodology Formulation and Future Trends”, Proceedings of the ASME 2019 14th International Manufacturing Science and Engineering Conference, June 10-14, 2019, Erie, PA, USA.

5. Liu, Y., Hu, X., Yue, X., (2019) “Mutual Information-Based Sensing Optimization for In-Process Quality Inspection of Multi-Station Assembly Processes”, Proceedings of the 2019 ASME International Mechanical Engineering Congress & Exposition (IMECE), Nov. 8-14, Salt Lake City, Utah, USA.

  • Runner-up for the Outstanding Paper Award for the ASME IMECE (Advanced Manufacturing Award).


Patents:

1. A Regenerative Braking Control System based on Braking Signal and Acceleration Signal, CN Patent NO. CN20120107366.X, Yue, X., with Zhang, J., Lv, C., Gou, J., He, C., 2012.

2. A Regenerative Braking System based on the Hydraulic ABS Pressure Regulator, CN Patent NO.CN201210015013.7, Yue, X., with Zhang, J., Lv, C., Gou, J., 2012.

3. A Regenerative Braking Equipment and Control Method, CN Patent, NO.CN201210241568.3, Yue, X., with Zhang, J., Lv, C., Qiu, M., 2012.

4. A Regenerative Braking System, CN Patent, NO.CN201210188694.7, Yue, X., with Zhang, J., Lv, C., Qiu, M., 2012.

Sponsors