Publications

Selected Publications

Jianjun Shi Google Scholar Citations

Published Book

Jianjun Shi,
“Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes”, ISBN: 0-8493-2151-4, CRC Press, Taylor & Francis Group, 2006. 469pp.

Refereed Journal Publications

  1. Zhang, Y. and Shi, J., 1988, “Optimal Predictive Control Based on the State Equation”, Journal of Control Theory and Application (in Chinese), Vol.5, No.4, p55-63.
  2. Zhang, Y. and Shi, J., 1989, “A New Flight Control Scheme and Its Control Law”, Journal of ACTA ARMAMENTARII (in Chinese), No.3.
  3. Ceglarek, D., Shi, J. and Wu, S. M., 1994 “A Knowledge-Based Diagnostic Approach for the Launch of the Auto-Body Assembly Process”, ASME Transactions, Journal of Engineering for Industry, Vol. 116, No.4, pp 491-499.
  4. Ceglarek, D. and Shi, J., 1996, “Fixture Failure Diagnosis for Auto Body Assembly Using Pattern Recognition”, ASME Transactions, Journal of Engineering for Industry, Vol. 118, No.1, pp55-65.
  5. Shi, J. and Ni, J., 1996, “Supervisory Adaptive Control for the Structural Vibration of a Coordinate-Measuring Machine”, International Journal of Advanced Manufacturing Technology, Vol. 11, No.4, pp240-248.
  6. Koh, C., Shi, J. and Williams, W., 1995, “Tonnage Signature Analysis Using the Orthogonal (Harr) Transforms”, NAMRI/SME Transactions, Vol. 23, pp229-234.
  7. Khorzad, D., Shi, J., Hu, S. J., Ni, J., Zussman, E., and Seliger, G., 1995, “Optimization of Multiple Panel Fitting in Automobile Assembly”, NAMRI/SME Transactions, Vol. 23, pp241-246.
  8. Ceglarek, D. and Shi, J., 1995, “Dimensional Variation Reduction for Automotive Body Assembly”, Journal of Manufacturing Review, Vol. 8, No.2, pp139-154.
  9. Shiu, B., Ceglarek, D., and Shi, J., 1996, “Multi-stations Sheet Metal Assembly Modeling and Diagnostics“, NAMRI/SME Transactions, Vol. 23, pp199-204.
  10. Koh, C., Shi, J., and Black, J., 1996, “Tonnage Signature Attribute Analysis for Stamping Process“, NAMRI/SME Transactions, Vol. 23, pp193-198.
  11. Ceglarek, D. and Shi, J., 1998, “Design Evaluation of Sheet Metal Joints for Dimensional Integrity”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol.120, No.2, pp452-460.
  12. Shiu, B., Ceglarek, D., and Shi, J., 1997, “Flexible Beam-based Modeling of Sheet Metal Assembly for Dimensional Control”, NAMRI/SME Transactions, Vol. 24, pp 49-54.
  13. Apley, D. and Shi, J., 1998, “Diagnosis of Multiple Fixture Faults in Panel Assembly“, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol.120, pp793-801. (Also Proceedings of the 95¡¦ ASME Winter Annual Meeting, ASME MED-Vol. 4, Nov., 1996, pp575 – 581.).
  14. Khan, A., Ceglarek, D., Shi, J. and Ni, J., 1999, “Sensor Optimization for Fault Diagnosis in Single Fixture System: A Methodology“, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol.121, No.1, pp109-117. (Also in 1995 ASME International Mechanical Engineering Congress and Exposition MED-vol. 2-2, pp. 1165-1176, San Francisco, CA.).
  15. Apley, D. and Shi, J., 1998, “Diagnostics in Disassembly Unscrewing Operations”, International Journal of Flexible Manufacturing, Vol. 10, No.2, pp111-128.
  16. Apley, D. and Shi, J., 1999, “A GLRT for Statistical Process Control of Autocorrelated Processes“, IIE Transactions, Vol. 31, No.2, pp 1123-1134.
  17. Tsung, F., Shi, J. and Wu, J., 1999, “Joint monitoring of PID Controlled Processes”, Journal of Quality Technology, Vol. 31, No. 3, pp275-285.
  18. Shi, J. and Apley, D., 1998, “A Suboptimal N-Step-Ahead Cautious Controller for Adaptive Control Applications”, ASME Transactions, Journal of Dynamic Systems, Measurement and Control, Vol. 120, pp419-423.
  19. Koh, C., Shi, J., Williams, W., Ni, J., 1999, “Multiple Fault Detection and Isolation Using the Haar Transform – Part 1: Theory”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 121, No.2, pp290-294.
  20. Koh, C., Shi, J., Williams, W., Ni, J., 1999, “Multiple Fault Detection and Isolation Using the Haar Transform – Part 2: Application to the Stamping Process”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 121, No.2, pp295-299.
  21. Tsung, F. and Shi, J., 1999, “Integrated Design of run-to-run PID Controller and SPC Monitoring for Process Disturbance Rejection”, IIE Transactions, Vol. 31, No.6, pp517-527.
  22. Ceglarek, D. and Shi, J., 1999, “Fixture Failure Diagnosis for Sheet Metal Assembly with Consideration of Measurement Noise”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 121, No.4, Nov. 1999, pp771-777.
  23. Jin, J. and Shi, J., 1999, “State Space Modeling of Sheet Metal Assembly for Dimensional Control”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 121, No.4, Nov. 1999, pp756-762.
  24. Jin, J., and Shi, J., 1999 “Feature-Preserving Data Compression of Stamping Tonnage Information Using Wavelets”, Technometrics, Nov. 1999, Vol. 41, No.4, pp 327-339.
  25. Apley, D. and Shi, J., 1999, “An Order Downdating Algorithm for Tracking System Order and Parameters in Recursive Least Squares Identification”, IEEE Transactions on Signal Processing, Vol. 47, No. 11, pp3134-3137.
  26. Jin, J., and Shi, J., 2000, “Diagnostic Feature Extraction from Stamping Tonnage Signals Based on Design of Experiment”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 122, No. 2, pp.360-369.
  27. Rong, Q., Ceglarek, D., Shi, J., 2000 “Dimensional Fault Diagnosis for Compliant Beam Structure Assemblies”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 122, No. 4, pp. 773-780 (simultaneously in 1998 ASME International Mechanical Engineering Congress and Exposition, MED-Vol. 8, pp. 93-102, Anaheim, CA.).
  28. Zhou, S. and Shi, J., 2000, “Supervisory Adaptive Balancing of Rigid Rotors During acceleration”, Transactions of NAMRI/SME, Vol. 28, pp 425-430.
  29. Jin, J. and Shi, J., 2001, “Automatic Feature Extraction of Waveform Signals for In-process Diagnostic Performance Improvement”, Journal of Intelligent Manufacturing, Vol. 12, No.3, pp267-268.
  30. Rong, Q., Shi, J. and Ceglarek, D., 2001, “Adjusted Least Squares Approach for Diagnosis of III-Conditioned Compliant Assemblies”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 123, No. 3., August, pp453-461.
  31. Shiu, B., Shi, J., and Tse, K. H., 2000, “The Dimensional Quality of Sheet Metal Assembly with Welding-induced Internal Stress”, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 214, No. 7, pp693-704.
  32. Zhou, S. and Shi, J., 2001, “The Analytical Imbalance Response of Jeffcott Rotor During Acceleration”, ASME Transactions, Journal of Manufacturing Science and Engineering. Vol. 123, No.1, Feb, 2001.
  33. Dyer, S., Zhuang, Z., Ni, J. and Shi, J. (2000), “Auto-tuning Adaptive Supervisory Control of Single-plane Active Balancing Systems”, Transactions of NAMRI/SME, Vol. 28.
  34. Nair, V., Hansen, M., and Shi, J. (2000), “Statistics in Advanced Manufacturing”, Journal of the American Statistical Association, Vol. 95, pp1002-1005.
  35. Shiu, B., Apley, D., Ceglarek, D., Shi, J., 2003, “Tolerance allocation for compliant beam structure assemblies”,  IIE Transactions, Design and Manufacturing, Vol. 35, No. 4, pp. 329-342.
  36. Apley, D. and Shi, J., 2001, “A Factor-Analysis Method for Diagnosing Variability in Multivariate Manufacturing Processes”, Technometrics, Vol. 43, No.1 pp84 – 95.
  37. Zhou, S. and Shi, J., 2001, “Imbalance Estimation for Speed-Varying Rigid Rotors Using Time-varying Observer”, ASME Transactions, Journal of Dynamic Systems, Measurement and Control, Vol. 123, No. 4, Dec., pp637-644.
  38. Zhou, S., and Shi, J., 2002, “Optimal One-Plane Active balancing of Rigid Rotor During Acceleration”, Journal of Sound and Vibration, Vol. 249, No.1, pp196-205.
  39. Li, H., Ceglarek, D., and Shi, J., 2002, “A Dexterous Part-Holding Model for Handling Compliant Sheet Metal Parts”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 124, No. 1, pp. 109-118.
  40. Ding, Y., Ceglarek, D., Shi, J., 2002, “Fault Diagnosis of Multistage Manufacturing Processes by Using State Space Approach”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol.124, No. 2, pp. 313-322.
  41. Zhou, S. and Shi, J., 2001, “Active Balancing and Vibration Control of Rotating Machinery: A Survey”, The Shock and Vibration Digest, Vol. 33, No. 5, Sept. 2001 pp361-371.
  42. Ding, Y., Shi, J. and Ceglarek, D., 2002, “Diagnosability Analysis of Multi-station Manufacturing Processes”, ASME Transactions, Journal of Dynamics Systems, Measurement, and Control, Vol. 124, No.1, pp1-13.
  43. Huang, Q., Zhou, S. and Shi, J., 2002, “Diagnosis of Multi-Operational Machining Processes through Variation Propagation Analysis”, Robotics and CIM Journal, Vol. 18, No.3-4, pp233-239.
  44. Ding, Y., Ceglarek, D. and Shi, J., 2002, “Design Evaluation of Multi-station Assembly Processes by Using State Space Approach”, ASME Transactions, Journal of Mechanical Design, Vol. 124, No. 2, pp408-418.
  45. Dyer, S., Shi, J., Ni, J. and Shin, K., 2002, “Robust Optimal Influence-Coefficient Control of Multiple-Plane Active Rotor Balancing Systems”, ASME Transactions, Journal of Dynamic Systems, Measurement, and Control, Volume 124, No. 1, pp41-46.
  46. Zhou, S., Huang, Q. and Shi, J., 2003, “State Space Modeling for Dimensional Monitoring of Multistage Machining Process Using Differential Motion Vector”, IEEE Transactions on Robotics and Automation, April 2003, Vol. 19, No.2, pp296-309.
  47. Huang, Q., Shi, J. and Yuan, J., 2003, “Part Dimensional Error and Its Propagation Modeling in Multi-Operational Machining Processes”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 125, No.2, pp255-262.
  48. Zhou, S., Ding, Y, Chen, Y., Shi, J., 2003, “Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-effects Models”, Technometrics, Nov., 2003. Vol. 45, No.4, pp312-325.
  49. Ding, Y., Jin, J., Ceglarek, D., Shi, J., 2005, “Process-oriented Tolerancing for Multi-station Assembly Systems”, IIE Transactions, Vol. 37, No.6, pp493-508.
  50. Huang, Q. and Shi, J., 2003, “Simultaneous Tolerance Synthesis through Variation Propagation Modeling of Multistage Manufacturing Processes”, NAMRI/SME Transactions, Vol. 31, pp515-522.
  51. Zhou, S. and Shi, J. 2004, “Identification of nonlinear effects in rotor systems using recursive QR factorization method”, Journal of Sound and Vibration, Vol. 270, No.1-2, Feb., pp455-469.
  52. Zhou, S., Chen, Y., and Shi, J., 2004, “Statistical estimation and testing for variation root-cause identification of multistage manufacturing Processes”, IEEE Transactions on Robotics and Automation, Vol.1, No.1, pp73-83.
  53. Zhou, S., Shin, K., Dyer, S., Shi, J. and Ni, J., 2004, “Extended Influence Coefficient Method for Rotor Active Balancing during Acceleration”, ASME Transactions, Journal of Dynamic Systems, Measurement, and Control, Vol. 126, No. 1, pp219-223.
  54. Chen, Y., Jin, J. and Shi, J., 2004, “Integration of dimensional quality and locator reliability in design and evaluation of multi-station body-in-white assembly processes”, IIE Transactions, Vol. 36, No.9, pp827-839.
  55. Huang, Q. and Shi, J., 2004, “Variation Transmission Analysis and Diagnosis of Multi-Operational Machining Processes”, IIE Transactions, Vol. 36, No.9, pp807-815.
  56. Jin, J., and Shi, J., 2005, “Press Tonnage Signal Decomposition and Validation Analysis For Transfer or Progressive Die Processes”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 127, No. 1, pp231-235.
  57. Huang, Q. and Shi, J., 2004, “Stream of Variation Modeling and Analysis of Serial-Parallel Multistage Manufacturing Systems”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 126, No.3, pp611-618.
  58. Liu, J., Li, J. and Shi, J. 2005, “Engineering Knowledge Driven Cause-Effect Modeling and Statistical Analysis for Multi-Operational Machining Process Diagnosis”, Transactions of NAMRI/SME, Vol. 33, pp65-72.
  59. Zhou, S., Sun, B., Shi, J., 2006, “An SPC Monitoring System for Cycle-Based Waveform Signals Using Haar Transform”, IEEE Transactions on Automation Science and Engineering, Vol. 3, No.1, pp60-72.
  60. Kim, J., Huang, Q., Shi, J., and Chang, T.-S., 2006, “Online Multi-Channel Forging Tonnage Monitoring and Fault Pattern Discrimination Using Principal Curve“, Transactions of the ASME, Journal of Manufacturing Science and Engineering, Vol. 128, No.4, pp944-950.
  61. Ding, Y., Elsayed, E.A., Kumara, S., Lu, J.C., Niu, F., and Shi, J., 2006 “Distributed Sensing for Quality and Productivity Improvements“, IEEE Transactions on Automation Science and Engineering, Vol. 3, No. 4. pp 344- 359.
  62. Li, J., and Shi, J., 2007, “Knowledge Discovery from Observational Data for Process Control through Causal Bayesian Networks”, IIE Transactions, Vol. 39, pp681-690.
  63. Li, J., Shi, J., and Chang, T., 2007, “On-Line Seam Detection in Rolling Processes using Snake Projection and Discrete Wavelet Transform”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol.129, No. 5, pp926-933.
  64. Luis E. Izquierdo, Jianjun Shi, S. Jack Hu, and Charles W. Wampler, 2007, “Feedforward Control of Multistage Assembly Processes Using Programmable Tooling”, Transactions of NAMRI/SME, Vol. 35.
  65. Luis E. Izquierdo, S. Jack Hu, Hao Du, Ran Jin, Haeseong Jee, and Jianjun Shi, 2009, “Robust Fixture Layout Design for a Product Family Assembled in a Multistage Reconfigurable Line”, ASME Transactions, Journal of Manufacturing Sciences and Engineering, Vol.131, No.4, 041008.
  66. Jin, R., Li, J., and Shi, J., 2007, “Quality Prediction and Control in Rolling Processes Using Logistic Regression”, Transactions of NAMRI/SME, Vol. 35.
  67. Li, J., Jin, J., and Shi, J., 2008, “Causation-based T2 Decomposition for Multivariate Process Monitoring and Diagnosis”, Journal of Quality Technology, Vol. 40, No. 1, pp. 46-58
  68. Li, J., Shi, J., and Satz, D., 2008, “Modeling and Analysis of Disease and Risk Factors through Learning Bayesian Network from Observational Data”, Quality and Reliability Engineering International, Vol. 24, No. 3, pp 291-302.
  69. Kim, J., Huang, Q., and Shi, J., 2008, “Latent Variable-based Key Process Variable Identification and Process Monitoring for Forging”, SME Transactions Journal of Manufacturing Systems, Vol. 26, No. 1, pp53- 61.
  70. Li, J., Huang, K., Jin, J., and Shi, J., 2008, “A Survey on Statistical Methods for Health Care Fraud Detection”, Health Care Management Science, Vol. 11, No. 3, pp 275-287.
  71. Liu, J., Shi, J., and Hu, S.J., 2008, “Engineering-Driven Factor Analysis for Variation Sources Identification in Multistage Manufacturing Processes”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 130, No.4, 041009.
  72. Liu, J., Shi, J., and Hu, S.J., 2009, “Quality Assured Setup Planning Based on the Stream Of Variation Model for Multi-Stage Machining Processes”, IIE Transactions on Quality and Reliability Engineering, IIE Transactions, Vol. 41, No. 4, pp323-334.
  73. Liu, J., Jin, J. and Shi, J. 2010 “State Space Modeling for 3-Dimensional Variation Propagation in Rigid-Body Multistage Assembly Processes”, IEEE Transactions on Automation Science and Engineering, Vol. 7, No.2, pp274-290.
  74. Zhong, J., Shi, J., and J. Wu, 2010, “Design of DOE-based Automatic Process Controller with Consideration of Model and Observation”, IEEE Transactions on Automation Science and Engineering, Vol.7, No.2, pp266-273.
  75. Ye, L., Pan, E., and Shi, J., 2009, “Design of regression model based automatic process control with reduced adjustment frequency”, Quality and Reliability Engineering International, Vol. 25, No. 8, pp997-1013.
  76. Chaipradabgiat, T., Jin, J., and Shi, J., 2009, “Optimal Fixture Locator Adjustment Strategies for Multistage Assembly Processes”, IIE Transactions on Quality and Reliability Engineering, Vol. 41, No.9, pp843-852.
  77. Shi, J. and Zhou, S., 2009, “Quality Control and Improvement for Multistage Systems: A Survey”, IIE Transactions, Vol. 41, No.9, pp744-753.
  78. Ershun Pan, Liang Ye, Jianjun Shi, Tzyy-Shuh Chang, 2009, “On-line bleeds detection in continuous casting processes using engineering-driven rule-based algorithm”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 131, No.6: 061008.
  79. Zhong, J., Liu, J. and Shi, J., 2010, “Predictive Control Considering Model Uncertainty for Variation Reduction in Multistage Assembly Processes”, IEEE Transactions on Automation Science and Engineering, Vol. 7, No.4,  pp724-735.
  80. Jin, R., Chang, C.J. and Shi, J., 2010, “Sequential Measurement Strategy for Wafer Geometric Profile Estimation”. IIE Transactions, Vol. 44, No. 1, pp1-12.
  81. Hongxu Zhao, Ran Jin, Su Wu, and Jianjun Shi, 2010, “PDE-constrained Gaussian Process Model on Material Removal Rate of Wiresaw Slicing Process”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 133, No. 2, 021012.
  82. Jin, R., and Shi, J., 2012, “Reconfigured Piecewise Linear Regression Tree for Multistage Manufacturing Process Control”, IIE Transactions, Vol. 44, No. 4, pp.249-261.
  83. Kim, H., Huo, X., and Shi, J., 2011, “A Single Interval Based Classifier”, Annals of Operations Research, DOI: 10.1007/s10479-011-0886-3.
  84. Chang, C.J., Xu, L., Huang, Q., and Shi, J., 2012, “Quantitative Characterization and Modeling Strategy of Nanoparticle Dispersion in Polymer Composites”, IIE Transactions, Vol. 44, No. 7, pp523-533.
  85. Yang, Q., Hong, Y., Chen, Y. and Shi, J., 2012, “Failure Profile Analysis of Complex Repairable Systems with Multiple Failure Modes”, IEEE Transactions on Reliability, Vol. 61, No. 1, pp.180-191.
  86. Abellan-Nebot, J. V., Liu, J., Subiron, F.r., and Shi, J., 2012, “State Space Modeling of Variation Propagation in Multistation Machining Processes Considering Machining-Induced Variations”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 134, No.  2, 021002.
  87. Tan, Matthias, and Shi, J., 2012, “A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control”, Technometrics, Vol. 54, No.3, pp294-307.
  88. Liu, K., Jain, S., and Shi, J., 2013, “Physician Performance Assessment Using a Composite Quality Index”, Statistics in Medicine, Vol. 32, No.15, 2661-2680.  (This paper received Best Student Paper Award Finalist in Quality, Statistics, and Reliability Section of INFORMS, 2012)
  89. Liu, K., and Shi, J., 2013, “Objective-Oriented Optimal Sensor Allocation Strategy for Process Monitoring and Diagnosis by Multivariate Analysis in a Bayesian Network”, IIE Transactions, Vol. 45, No. 6, pp630-643.
  90. 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, Vol.10, No.3, pp652-664.  (This paper received the Best Student Paper Award in Data Mining Section of INFORMS, 2012)
  91. Liu, K., Zhang, X. and Shi, J., 2013, “Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network”, IEEE Transactions on Automation Science and Engineering. Vol. 11, No. 2, pp452-462.   (Also, Best Student Paper Award in the Industrial and Systems Engineering Research Conference (ISERC) 2013)
  92. Plumlee, M., Jin, R., Roshan Joseph, V. and Shi, J., 2013, “Gaussian process modeling for engineered surfaces with applications to Si wafer production”, Stat, Vol.2, No.1, pp159-170.
  93. Matthew Plumlee and Shi, J., 2013, “Estimating Spatial and Temporal Patterns of Defects”, Manufacturing Letters, Vol. 1, No.1, pp25-27.
  94. Liu, K., Mei, Y., and Shi, J., 2014, “An adaptive sampling strategy for online high dimensional process monitoring”, Technometrics, Vol. 57, No.3, pp305-319.
  95. Yan, H., Paynabar, K., and Shi, J., 2015, “Image-Based Process Monitoring Using Low-Rank Tensor Decomposition”, IEEE Transactions on Automation Science and Engineering, Vol.12, No.1, pp216 – 227.
  96. Hao, L., Gebraeel, N., and Shi, J., 2015, “Simultaneous Signal Separation and Prognostics of Multi-Component Systems: The Case of Identical Components”, IIE Transactions, Vol. 47, No.5, pp487-594.
  97. Liu, K. and Shi, J., 2015, “A Systematic Approach for Business Data Analytics with a Real Case Study”, International Journal of Business Analytics (IJBAN), Vol.2, No.4, pp23-44.
  98. Hao, L., Bian, L., Gebraeel, N., and Shi, J., 2016, “Residual Life Prediction of Multistage Manufacturing Processes with Interaction between Tool Wear and Product Quality Degradation”, IEEE Transactions on Automation Science and Engineering, Vol.14, No.2, 1211-1224.
  99. Hao, L., Liu, K., Gebraeel, N., and Shi, J., 2015, “Controlling the Residual Life Distribution of Parallel Multi-component Systems through Workload Adjustment”,IEEE Transactions on Automation Science and Engineering, Vol.14, No.2, pp1042-1052.
  100. Yan, H., Paynabar, K., Shi, J., 2015, “Anomaly Detection in Images with Smooth Background Via Smooth-Sparse Decomposition”, Technometrics, Vol. 59, No. 1, pp102-114.
  101. 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, Vol.13, No.2, pp1102 – 1111.
  102. 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, Vol. 30, No. 6, pp18-21
  103. Mesnil, O., Yan, H., Ruzzene, M., Paynabar, K., Shi, J., 2016, “Fast wavenumber measurement for accurate and automatic location and quantification of defect in composite”,Structural Health Monitoring, 15, No. 2, pp223-234.
  104. Zhang, T., and Shi, J., 2016, “Variation Analysis for Compliant Composite Part in Single-Station Assembly Process”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 138, No. 12, 121003.
  105. Zhang, T., and Shi, J., 2016, “Modeling Variation Propagation of Multi-Station Assembly System with Compliant Composite Parts”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 138, No. 12, 121004.
  106. Yan, H., Liu, K., Zhang, X., Shi, J., 2016, “Multiple sensor data fusion for degradation modeling and prognostics under multiple operational conditions” IEEE Transactions on Reliability, Vol. 65, No. 3, pp1416-1426.
  107. Yue, X., Wang, K., Yan, H., Park, J., Liang, R., Zhang, C., Wang, B., Shi, J. 2016, “Generalized Wavelet Shrinkage of In-Line Raman Spectroscopy for Quality Monitoring of Continuous Nanomanufacturing for Buckypaper”, IEEE Transactions on Automation Science and Engineering, Vol.14, No.1, pp196-207.
  108. Yan, H., Paynabar, K., Shi, J., 2016, “Online High-dimensional Monitoring and Diagnostics via Recursive Spatio-Temporal Smooth Sparse Decomposition”, Technometrics, Vol. 60, No.2, pp181-197.
  109. Du, J., Zhang X., and Shi, J., 2017, “Pairwise Critical Point Detection Using Torque Signals in Threaded Pipe Connection Processes”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 139, No. 9, p. 091002.
  110. Yue, X., Wen, Y., Hunt, J. H., Shi, J., 2017, “Surrogate Model-Based Control Considering Uncertainties for Composite Fuselage Assembly”, ASME Transactions, Journal of Manufacturing Science and Engineering. Vol. 140, No. 4, 041017.
  111. Yue, X., Shi, J., 2017, “Surrogate-Model based Optimal Feed-forward Control for Dimensional Variation Reduction in Composites Assembly Processes”, Journal of Quality Technology. Vol. 50, No. 8. pp279-289.
  112. Zhang, C., Yan, H., Lee, S., and Shi, J., 2017. “Multiple Profiles Sensor-Based Monitoring and Anomaly Detection”,Journal of Quality Technology, Vol. 50, Issue 4, pp 344-362.
  113. Wen, Y., Yue, X., Hunt, J. H., Shi, J., 2017, “Feasibility Analysis of Composite Fuselage Shape Control via Finite Element Analysis”, Journal of Manufacturing Systems, Vol. 46, pp272-281.
  114. Yue, X., Yan, H., Park, J. G., Liang, Z., Shi, J., 2017, “A Wavelet-based Penalized Mixed-Effects Decomposition for Multichannel Profile Monitoring based on In-line Raman Spectroscopy”, IEEE Transactions on Automation Science and Engineering. Vol. 15, No. 3. pp1258 – 1271.
  115. Du, J., Zhang, X., and Shi, J., 2018, “A Condition Change Detection Approach for Solar Conversion Efficiency in Solar Cell Manufacturing Processes”, IEEE Transactions on Semiconductor Manufacturing, Vol. 32, No. 1, pp 82 – 92.
  116. Du, J., Zhang, X., Xu, X., and Shi, J., 2018, “A Novel Critical Point Detection Method for Mechanical Deformation in Tightening Processes”, Journal of Manufacturing Systems, Vol.48, Part A, pp 157-165.
  117. Du, J., Zhang, X., and Shi, J., 2018, “A Physics-based Change Point Detection Method using Torque Signals in Pipe Tightening Processes”, IEEE Transactions on Automation Science and Engineering, Vol.16, No.3, pp 1289-1300.
  118. Zhang, C., Yan, H., Lee, S., and Shi, J., 2018, “Weakly Correlated Profile Monitoring Based on Sparse Multi-channel Functional Principal Component Analysis”, IISE Transactions, Vol.50, No.10, pp 878-891.
  119. 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”, Journal of Manufacturing Systems, Vol.52, pp55-62.
  120. Yue, X., Park, J. G., Liang, Z., and Shi, J. 2018, “Tensor Mixed Effects Model with Applications in Nanomanufacturing Inspection.” Technometrics, accepted, in press, pp1-23.
  121. Du, J., Yue, X., Hunt, J. H., and Shi, J. 2019.” Optimal Placement of Actuators via Sparse Learning for Composite Fuselage Shape Control.” Journal of Manufacturing Science and Engineering, Vol.141, No.10.pp1-37.
  122. Yan, H., Paynabar, K., Shi, J., 2020, “AKM2D: An Adaptive Framework for Online Sensing And Anomaly Detection”, IISE Transactions, 52:9, 1032-1046, (This paper is one of the four finalists of Best Student Paper Award in Quality, Statistics, and Reliability Section of INFORMS).
  123. Liu, C., Liu, T., Du, J., Zhang, Y., Lai, X., & Shi, J. 2020, “Hybrid Nonlinear Variation Modeling of Compliant Metal Plate Assemblies Considering Welding Shrinkage and Angular Distortion“. Journal of Manufacturing Science and Engineering, 142(4).
  124. Zhang, C., Yan, H., Lee, S., and Shi, J.,2020. “Dynamic multivariate functional data modeling via sparse subspace learning. “Technometrics, 1-33.
  125. Reisi Gahrooei, M., Yan, H., Paynabar, K., Shi, J., 2020, “Multiple Tensor on Tensor Regression: An approach for modeling processes with heterogeneous sources of data”, Technometrics, 63(2), 147-159.
  126. Liu, C., Liu, T., Du, J., Zhang, Y., Lai, X., & Shi, J. (2020). Hybrid nonlinear variation modeling of compliant metal plate assemblies considering welding shrinkage and angular distortion. Journal of Manufacturing Science and Engineering, 142(4).
  127. Nabhan, M., Mei, Y., & Shi, J. (2020). Correlation-based dynamic sampling for online high dimensional process monitoring. Journal of Quality Technology, 1-20.
  128. Yue, X., Wen, Y., Hunt, J. H., & Shi, J. (2020). Active learning for gaussian process considering uncertainties with application to shape control of composite fuselage. IEEE Transactions on Automation Science and Engineering, 18(1), 36-46.
  129. 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, 19, 350-359.
  130. Wang, Y., Yue, X., Tuo, R., Hunt, J. H., & Shi, J. (2020). Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation. The Annals of Applied Statistics, 14(4), 1759-1776. Best Refereed Paper Finalst Award for the 2017 INFORMS Quality, Statistics and Reliability (QSR) Section
  131. Wang, F., Du, J., Zhao, Y., Tang, T., & Shi, J. (2020). A deep learning based data fusion method for degradation modeling and prognostics. IEEE Transactions on Reliability.
  132. Wang, A., & Shi, J. (2021). Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs. IISE Transactions, 53(5), 582-596.
  133. Zhang, C., Yan, H., Lee, S., & Shi, J. (2020). Dynamic multivariate functional data modeling via sparse subspace learning. Technometrics, 1-14. Best Paper Award, 2017 INFORMS Data Mining Section
  134. Du, J., Liu, C., Liu, J., Zhang, Y., & Shi, J. (2021). Optimal Design of Fixture Layout for Compliant Part With Application in Ship Curved Panel Assembly. Journal of Manufacturing Science and Engineering, 143(6), 061007.
  135. Zhang, R., Mei, Y., Shi, J., Xu, H., (2022), “Robustness and Tractability for High-Dimensional M-estimators”.  Statistica Sinica
  136. Tian, H., Wang, A., Chen, J., Jiang, X., Shi, J., Zhang, C., … & Wang, B. (2021). Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties. IEEE Transactions on Automation Science and Engineering.
  137. Mou, S., Wang, A., Zhang, C., & Shi, J. (2021). Additive Tensor Decomposition Considering Structural Data Information. IEEE Transactions on Automation Science and Engineering.
  138. Zhong, Z., Wang, A., Kim, H., Paynabar, K., & Shi, J. (2021). Adaptive Cautious Regularized Run-to-Run Controller for Lithography Process. IEEE Transactions on Semiconductor Manufacturing.
  139. Wang, F., Gahrooei, M. R., Zhong, Z., Tang, T., & Shi, J. (2020). An Augmented Regression Model for Tensors with Missing Values. IEEE Transactions on Automation Science and Engineering, (accepted, in press)
  140. Du, J., Yan, H., Chang, S. Shi, J. (2022) “A Tensor Voting Based Surface Anomaly Classification Approach by Using 3d Point Cloud Data”, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol 144, Issue 5, https://doi.org/10.1115/1.4052660
  141. Zhang, R., Mei, Y., Shi, J., “Robust Change Detection for Large-Scale Data Streams” Sequential Analysis, accepted
  142. Miao, H., Wang, A., Chang, Z, and Shi, J. (2021), “Process Modeling with Multi-level Categorical Inputs via Variable Selection and Level Aggregation”, IISE Transaction, DOI: 1080/24725854.2021.2004626
  143. Miao, H., Wang, A., Chang, Z, and Shi, J. (2021), “Structural Tensor-on-Tensor Regression with Interaction Effects and Its Application to A Hot Rolling Process”, Vol. 54, Issue 5, p. 547-56  Journal of Quality Technology, https://doi.org/10.1080/00224065.2021.1973931
  144. Wang, A., Chang, T. S., & Shi, J. (2022), Multiple Event Identification and Characterization by Retrospective Analysis of Structured Data Streams, IISE Transactions, DOI: 1080/24725854.2021.1970863
  145. Wang, A., Du, J., Zhang, X., & Shi, J. (2022), “Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation”, Technometrics, Volume 64, Issue 3, Pages 384-395
  146. Miao, H., Wang, A., Chang, T. S., & Shi, J. (2022), A product-oriented transformation of continuous streaming data for relationship mining in a hot rolling process. ASME Transactions, Journal of Manufacturing Science and Engineering. Accepted
  147. Zhong, Z., Paynabar, K., Shi, J., (2021). “Image Based Feedback Control using Tensor Analysis.” Technometrics, tentatively accepted.
  148. Zhong, Z., Mou, S., Hunt, J. H., Shi, J., (2021). “FEA model based cautious automatic optimal shape control for fuselage assembly”, ASME Transactions, Journal of Manufacturing Science and Engineering, accepted
  149.  Li, F., Xie, R., Yang, B., Guo, L., Ma, P., Shi, J., Ye, J., & Song, W. (2019), “Detection And Identification Of Cyber And Physical Attacks On Distribution Power Grids With Pvs: An Online High-Dimensional Data-Driven Approach”, IEEE Journal Of Emerging And Selected Topics In Power Electronics, Volume: 10, pp. 1282 – 1291
  150. Wang, F., Wang, A., Tang, T., & Shi, J. (2022), “SGL-PCA: Health Index Construction with Sensor Sparsity and Temporal Monotonicity for Mixed High-dimensional Signals”, IEEE Transactions on Automation Science and Engineering, Volume 20, Issue 1, pp. 372-384
  151. Du, J., Cao, S., Hunt, J. H., Huo, X., & Shi, J. (2022), “A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly”, Technometrics, Volume 64, Issue 3, Pages 409-418
  152. Shi, J. (2022), “In Process Quality Improvements: Concepts, Methodologies, and Implementations”, IISE Transactions, Volume 55, Issue 1, pp. 2–21
  153. Zhong, Z., Mou, S., Hunt, J. H., &  Shi, J. (2022), “Convex Relaxation for Optimal Fixture Layout Design“, IISE Transactions, Volume 55, Issue 7, pp. 746–754
  154. Mou, S., Biehler, M., Yue, X., Hunt, J., & Shi, J. (2023), “SPAC: Sparse Sensor Placement Based Adaptive Control for High Precision Fuselage Assembly”, IISE Transactions, Volume 55, Issue 11, pp. 1133-1143
  155. Biehler, M., Yan, H., & Shi, J. (2022) “ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data,” in IEEE Transactions on Automation Science and Engineering, Volume 21, Issue 1, pp. 402-415
  156. Mou, S., Shi, J. (2022): “Compressed Smooth Sparse Decomposition“, INFORMS Journal on Data Science, Volume 2, Issue 1, pp. 60–80
  157. Mou, S., Cao, M., Bai, H., Huang, P., Shi, J., & Shan, J. (2022). PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation. IISE Transactions, Volume 56, Number 9, pp. 917–931
  158. Biehler, M., Zhong, Z., & Shi, J. (2023). SAGE: Stealthy Attack GEneration for Cyber-Physical Systems. IISE Transactions, Volume 56, Number 1, pp. 54–68
  159. Biehler,M., Lin, D. & Shi, J. (2024) DETONATE: Nonlinear Dynamic Evolution Modeling of Time-dependent 3-dimensional Point Cloud Profiles, IISE Transactions, Volume 56, Issue 5, pp. 541-558
  160. Mou, S., Gu, X., Cao, M., Bai, H., Huang, P., Shan, J., & Shi, J. (2023).  “RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection“, International Conference on Representation Learning (ICLR) 2023, May 1st to the 5th, 2023, Rwanda.
  161. F. Alenezi, D., Shi, H., & Li, J. (2022). A Ranking-based Weakly Supervised Learning model for telemonitoring of Parkinson’s disease, IISE Transactions on Healthcare Systems Engineering, Volume 12, Issue 4, pp. 322-336.
  162. Biehler, M., Mock, R., Kode, S., Mehmood, M., Bhardwaj, P. and Shi, J.  (2024).  “AUDIT: Functional Qualification in Additive Manufacturing via Physical and Digital Twins“. ASME Transactions,  Journal of Manufacturing Science and Engineering, Volume 146, Issue 2.
  163. Zhang, Z., Mou, S., Paynabar, K., & Shi, J. (2023). Tensor-based Temporal Control for Partially Observed High-dimensional Streaming Data. Technometrics,  Volume 66, Issue 2, pp. 227-239.
  164. Biehler, M., Sun, Y., Kode, S., Li, J. & Shi, J. (2024) PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations, IEEE Transactions on Automation Science and Engineering, Volume 21, Issue 4, pp. 7550-7561.
  165. Zhang, Z., Mou, S., Reisi Gahrooei,M., Pacella, M., Shi. J. (2024) Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data under Data-Sharing Constraints, Technometrics, Volume 66, Issue 4, pp. 548-560.
  166. Yang, B., Wu, S., Hu, K., Ye, J.,  Song, W., Ma, P., Shi, J. & Liu, P. (2024) Enhanced Cyber-Attack Detection in Intelligent Motor Drives: A Transfer Learning Approach with Convolutional Neural Networks. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, Volume 5, Issue 2.
  167. Biehler, M., & Shi, J. (2024). RETROFIT: Real-time control of time-dependent 3D point cloud profiles. ASME Transactions, Journal of Manufacturing Science and Engineering, Volume 146, Issue 6, pp. 061006.
  168. Biehler, M., Lin, D., Mock, R., & Shi, J. (2024). 4DYNAMO: Analyzing and Optimizing Process Parameters in 4D Printing for Dynamic 3D Shape Morphing Accuracy. ASME Transactions, Journal of Manufacturing Science and Engineering, Volume 146, pp. 101009.
  169. Wang, Y., Mou, S., Shi, J., & Zhang, C. (2024). Physics-Informed Neural ODE with Heterogeneous control Inputs (PINOHI) for quality prediction of composite adhesive joints. IISE Transactions, 1–13. https://doi.org/10.1080/24725854.2024.2408546.

Refereed conference or symposium proceedings

(excluding papers revised for journals / transactions publications)

  1. Zhang, Y. and Shi, J., 1988, “A Multiple Objective Optimal Method of Reducing the Sensitivity of Nonlinear Optimal Control Law to Initial State and Its Application”. Proceedings of Chinese Automatic Association 1988’ Academic Conference,  Zheng-zhou, P.R.China, pp1108-1114.
  2. Shi, J., 1989, “Real time expert control of a flight vehicle control system”, International Conference ‘ 89 on Expert Systems in Engineering Applications, Wuhan, P.R.China.
  3. Shi, J. and Zhang, Z., 1989, “Human Operator Optimal Predictive Control Model and Simulation”, Proceedings of theory and application of automatic control 1989 academic conference, Xian, P.R. China,  Oct., 1989.
  4. Shi, J., Tang, T. and Zhang, Z., 1990, “Adaptive Predictive Control and Its Application in Missile Interception Problem”,  AMST 90 4th international symposium on application of multivariable system technique, Bradford, UK., pp171-178.
  5. Shi, J. and Zhang, Y., 1990, “The Application of Hierarchical Filter  in the Flight Vehicle Control System”, AMST 90 4th international symposium on application of multivariable system technique, Bradford, UK., pp248-255.
  6. Shi, J., Ni, J. and Wu, S. M., 1991, “A Generalized Forecasting Compensatory Control Strategy and Its Application in Vibration Control”, Proceedings of the 1991 American Control Conference,  Boston, pp1414-1415.
  7. Shi, J. and Ni, J., 1993, “A Supervisory Adaptive Control approach for a Dynamic System with Time Varying Model Order and Parameters”, PED-Vol. 64, Manufacturing Science and Engineering,  pp173- 180.
  8. Ceglarek, D., Shi, J., Wu, S. M., 1993, “Auto-Body Assembly Diagnostic: A Knowledge-based Approach”,PED-Vol. 64, Manufacturing Science and Engineering,  pp401- 412 (cited by 1 publication).
  9. Shi, J., Apley, D., 1994, “An Adaptive Cautious Predictive Controller for Real-Time Implementation”, DSC-Vol.55-1, Dynamic Systems and Control, Vol.1, ASME, pp167-174
  10. Shi, J., Huang, Z., Ni, J., 1994, “On-line Dynamic Data System Modeling for a Piecewise Stationary Process”, Proceedings of the First Wu, S. M. Symposium on Manufacturing Science, pp281 – 288.
  11. Shi, J., Hu, S. J. and Ceglarek, D., 1994, “Process Navigator for Automotive Body Assembly Process”, Proceedings of the First Wu, S. M. Symposium on Manufacturing Science, pp325 – 332.
  12. Apley, D.  and Shi, J., 1994, ” A Statistical Process Control Method for Autocorrelated Data Using a GLRT”, Proceedings of the International Symposium on Manufacturing Science and Engineering for the 21st Century, Beijing, P.R. China, pp165 -170 (cited by 1 publication).
  13. Apley, D.  and Shi, J., 1994, ” A Fault Detection, Isolation, and Identification Technique for Complex MISO Linear Systems”, Proceedings of the American Control Conference, Baltimore, MD, pp 2633 – 2637 (cited by 2 publications).
  14. Jin, J., Shi, J. and Ni, J., 1994, “An On-line Automatic Modeling System with Implementation”, Proceedings of  Intelligent, Knowledge and Integration for Manufacturing.
  15. Shi, J. and Apley, D., 1994, “Real-Time Adaptive Cautious Control Algorithm and Implementation”, Dynamic Systems and Control,  Edited by C. J. Radcliffe, DSC-Vol.55.1, pp167-174, 1994.)
  16. Ceglarek, D. and Shi, J., 1995, “Model-Based Control of Dimensional Variability for Automatic Fixturing of Sheet Metal Assemblies ,” IV International Conference on Monitoring and Automatic Supervision in Manufacturing – AC’95 sponsored by International Institution for Production Engineering Research (CIRP) and Polish Academy of Sciences, Warsaw, August 28-29, pp. 191- 202.
  17. Ceglarek, D., Shi, J., 1995 “Design Evaluation of Part-to-Part Joints for Dimensional  Integrity of Body-in-white ,” Proceedings of International Body Engineering Conference and  Exposition –   IBEC, Body Design and Engineering Symposium, vol. 13, pp. 11- 19, Detroit, MI, October 31 – November 2.
  18. Koh, C., Shi, J., William, W., and Ni, J., 1996, “Detection and Isolation of Faults in Stamping Process Using Haar Transform”, MED-Vol.4 Manufacturing Science and Engineering.
  19. Apley, D. and Shi, J., 1995, “The Inverse QR Decomposition in Order Recursive Calculation of Least Squares Coefficients”, Proceedings of the American Control Conference, Seattle, Washington, pp544 – 548 (cited by 1 publication).
  20. Koh, C., Shi, J., Ni, J. and Williams, W., 1996, “Detection and Isolation of Faults in the stamping Processes”, ASME MED-Vol. 4, Nov., 1996, pp605 – 610.
  21. Shi, J. and Wu, X., 1996, “Agile and Precision Stamping for Auto Industry: Current Practice and R&D Activities in US”, invited paper, Proceedings of International Automotive Manufacturing Conference, Shanghai. pp1-10 (cited by 2 publications).
  22. Shi, J. and Jin, J., 1997, “Modeling and Diagnosis for Automotive Body Assembly Process Using State Space Models”, Proceedings of International Intelligent Manufacturing System’97 , Seoul, Korea. pp189-196.
  23. Shi, J., Ni, J. and Lee, J., 1997, “Research Challenges and Opportunities in Remote Diagnosis and Reliability Study”, Proceedings of International Intelligent Manufacturing System ‘97, Seoul, Korea. pp213-218. Grant No:15
  24. Ceglarek, D., Shi, J., 1997 “Tolerance analysis for sheet metal assembly using a beam-based model,” 1997 ASME International Mechanical Engineering Congress and Exposition, DE-Vol. 94, pp.153-159.
  25. Rong, Q., Ceglarek, D. and Shi, J., 1998, “Modeling and Diagnostics of Assembly Systems with Complaint Structures”, Proceedings ASME Annual Conference, Nov.15-19,. Log Angeles, CA.
  26. Jin, J. and Shi, J., 1998, “Automatic Feature Extraction of Waveform Signals for In-Process Diagnostic Performance Improvement”, Proceedings of 1998 IEEE International Conference on Systems, Man and Cybernetics, San Diego, pp4716-4721.
  27. Jin, J., Chen, Y., and Shi, J., 1999, “Quality and Reliability Information Integration for Fixture Design Evaluations”, Proceedings of the INFORS’99, Beijing, China.
  28. Dyer, S., Ni, J., Shi, J. and Zhuang, Z., 1999, “Auto-tuning Adaptive Supervisory Control o Single-Plane Active Balancing Systems”, Proceedings ASME Annual Conference, Nov.
  29. Li, H., Ceglarek, D.  and Shi, J., “A Dexterous Part Holding Model for Handling Compliant Sheet Metal Parts”, 2000 Japan-USA Symposium on Flexible Automation.
  30. Zhou, S. and Shi, J., 2000, “On-Line Estimation of Nonlinear and Time Varying Effects in Rotor System Using QR Orderly Recursive Method”, 2000 Japan-USA Symposium on Flexible Automation. Paper Number: 13132. (One of the three finalists of best paper award)
  31. Zhou, S. and Shi, J., 2000, “Unbalance Estimation for Speed-Varying Rigid Rotors Using Time-Varying Observer”, 2000 Japan-USA Symposium on Flexible Automation.
  32. Ding, Y., Jin, J., Ceglarek, D., and Shi, J., 2000, “Process-oriented Tolerance Synthesis for Multistage Manufacturing Systems”, Proceedings of IMECE 2000, Nov. 5-10, 2000, Orlando, FL. (RECEIVED BEST PAPER AWARD FROM ASME Manufacturing Engineering Division) (cited by 5 publications).
  33. Dyer, S., Ni, J., Shi, J., 2001, “Real-Time Analysis of Nonstationary Vibration Signals for Control of Rotating Machine Unbalance During Angular Acceleration”.  MARCON 2001, May 6-9, 2001, Gatlinburg, Tennessee.
  34. Ding, Y., Ceglarek, D., and Shi, J., 2000: Modeling and Diagnosis of Multistage Manufacturing Processes: Part I ­ State Space Model, presented at 2000 Japan/USA Symposium on Flexible Automation, July 23-26, Ann Arbor, MI, cited by 34 publications (cited by 43 publications).
  35. Ding, Y., Ceglarek, D., and Shi, J., 2000: Modeling and Diagnosis of Multistage Manufacturing Processes: Part II ­ Fault Diagnosis, 2000 Japan/USA Symposium on Flexible Automation, July 23-26, Ann Arbor, MI (cited by 6 publications).
  36. Huang, Q., Zhou, N. and Shi, J., 2000, “Stream of Variation Modeling and Diagnosis of Multi-station Machining Processes,” Proc. 2000 ASME Int. Mech. Eng. Congress & Exposition, MED-Vol. 11, pp.81-88, November 5-10, Orlando, FL (cited by 21 publications).
  37. Huang, Q., Zhou, S. and Shi, J., 2001, “Diagnosis of Multi-operation Machining Process by Using Virtual Machining”, Int. Conf. on Flexible Automation and Intelligent Manufacturing, pp. 804-813, July 16th – 18th, Dublin, IRELAND.
  38. Chen, Y., Jin, J. and Shi, J., 2002, “Integration of Quality and Reliability for Design and Evaluation of Multistation BIW Assembly Processes”, the International Manufacturing Research Conference, Dalan, P. R. China.
  39. Huang, Q. and Shi, J., 2002, “Variation Transmission Modeling and Diagnosis of Multi-Operational Machining Processes”, 2002 Japan/USA Symposium on Flexible Automation, Japan.
  40. Shi, J. and Zhou, S. “Stream of Variation Modeling and Analysis Research and Development: A Survey”, 2002 Global Powertrain Conference, Ann Arbor, MI.
  41. Ding, Y., Ceglarek, D., Shi, J., 2001, “Multistage Manufacturing Processes: Modeling, and Design Evaluation,” Advances in Production Engineering (APE’01), 7-9 June 2001, Warsaw.
  42. Huiyong Zheng, Xiaodong Yang, Jan Shi and Jeff Wu, “Design of DOE-based Automatic Process Controller for Complex Manufacturing Processes”, NSF Grantee conf. (cited by 1 publications).
  43. Hongbin Jia, Y. L. Murphy, Jianjun Shi, Tzyy Shuh Chang, “An intelligent real-time vision system for surface defect detection” Volume: 3,  On page(s): 239- 242 Vol.3, Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on Pattern Recognition.
  44. Luis E. Izquierdo, Hao Du, S. Jack Hu, Ran Jin, Jianjun Shi and Haeseong Jee 2006,  “Robust Fixture Layout Design for a Product Family Assembled in a Multistages Reconfigurable Line”, ASME International Conference on Manufacturing Sciences and Engineering, October 8-11, 2006, Ypsilanti, Michigan, MSEC2006-21082.
  45. Li, Jing, Jin, J., Shi, J.. Integration of Causal Models and Statistical Process Control (SPC) for Process Monitoring and Diagnosis. Industrial Engineering Research Conference (IERC), Orlando, FL (2006).
  46. Li, Jing, Shi, J., Chang, T. S., “On-line Seam Detection in Rolling Processes using Snake Projection and Discrete Wavelet Transform.” the International Conference on Manufacturing Science and Engineering, Ypsilanti, MI (2006).
  47. Shi, J., “Data Fusion for In-Process Quality Improvement”, Proceedings of the 5th Manufacturing Engineering Society International Conference, Zaragoza , Spain, June 2013 (invited Keynote talk)