Jianjun Shi
Orcid: 0000-0002-3774-9176Affiliations:
- Georgia Tech, Milton Stewart School of Industrial and Systems Engineering, Atlanta, GA, USA
According to our database1,
Jianjun Shi
authored at least 54 papers
between 1999 and 2024.
Collaborative distances:
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Bibliography
2024
PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations.
IEEE Trans Autom. Sci. Eng., October, 2024
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data.
IEEE Trans Autom. Sci. Eng., January, 2024
2023
SGL-PCA: Health Index Construction With Sensor Sparsity and Temporal Monotonicity for Mixed High-Dimensional Signals.
IEEE Trans Autom. Sci. Eng., 2023
2022
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation.
Technometrics, 2022
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly.
Technometrics, 2022
IEEE Trans Autom. Sci. Eng., 2022
Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties.
IEEE Trans Autom. Sci. Eng., 2022
IEEE Trans Autom. Sci. Eng., 2022
2021
IEEE Trans. Reliab., 2021
Technometrics, 2021
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data.
Technometrics, 2021
Active Learning for Gaussian Process Considering Uncertainties With Application to Shape Control of Composite Fuselage.
IEEE Trans Autom. Sci. Eng., 2021
Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs.
IISE Trans., 2021
2020
Technometrics, 2020
Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression.
IEEE Trans Autom. Sci. Eng., 2020
IISE Trans., 2020
2019
A Physics-Specific Change Point Detection Method Using Torque Signals in Pipe Tightening Processes.
IEEE Trans Autom. Sci. Eng., 2019
2018
Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition.
Technometrics, 2018
A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy.
IEEE Trans Autom. Sci. Eng., 2018
2017
Technometrics, 2017
Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper.
IEEE Trans Autom. Sci. Eng., 2017
Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment.
IEEE Trans Autom. Sci. Eng., 2017
Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation.
IEEE Trans Autom. Sci. Eng., 2017
2016
Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions.
IEEE Trans. Reliab., 2016
An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes.
IEEE Trans Autom. Sci. Eng., 2016
2015
Proceedings of the Encyclopedia of Systems and Control, 2015
Technometrics, 2015
IEEE Trans Autom. Sci. Eng., 2015
2014
Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network.
IEEE Trans Autom. Sci. Eng., 2014
2013
A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis.
IEEE Trans Autom. Sci. Eng., 2013
2012
IEEE Trans. Reliab., 2012
Technometrics, 2012
2010
Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties.
IEEE Trans Autom. Sci. Eng., 2010
Predictive Control Considering Model Uncertainty for Variation Reduction in Multistage Assembly Processes.
IEEE Trans Autom. Sci. Eng., 2010
State Space Modeling for 3-D Variation Propagation in Rigid-Body Multistage Assembly Processes.
IEEE Trans Autom. Sci. Eng., 2010
2009
Design of regression model-based automatic process control with reduced adjustment frequency.
Qual. Reliab. Eng. Int., 2009
2008
Modeling and analysis of disease and risk factors through learning Bayesian networks from observational data.
Qual. Reliab. Eng. Int., 2008
2007
Diagnosability study for quality improvement based on distributed sensing and information technology.
Int. J. Comput. Appl. Technol., 2007
2006
IEEE Trans Autom. Sci. Eng., 2006
Editorial Special Section on Distributed Sensing for Quality and Productivity Improvement.
IEEE Trans Autom. Sci. Eng., 2006
IEEE Trans Autom. Sci. Eng., 2006
Distributed sensor system for fault detection and isolation in multistage manufacturing systems.
Int. J. Comput. Appl. Technol., 2006
2004
Statistical estimation and testing for variation root-cause identification of multistage manufacturing Processes.
IEEE Trans Autom. Sci. Eng., 2004
2003
State space modeling of dimensional variation propagation in multistage machining process using differential motion vectors.
IEEE Trans. Robotics Autom., 2003
Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models.
Technometrics, 2003
2001
A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes.
Technometrics, 2001
Automatic feature extraction of waveform signals for in-process diagnostic performance improvement.
J. Intell. Manuf., 2001
Reliability modeling and analysis of multi-station manufacturing processes considering the quality and reliability interaction.
Proceedings of the IEEE International Conference on Systems, 2001
1999
An order downdating algorithm for tracking system order and parameters in recursive least squares identification.
IEEE Trans. Signal Process., 1999
Technometrics, 1999