Jianjun Shi

65 papers B 2Journal 62
YearRankTypeTitle / Venue / Authors
2026 J jnl
Point-ITR: Task-Oriented Importance Sampling for Large-Scale 3D Point Clouds in Manufacturing.
IEEE Trans Autom. Sci. Eng.
Yichen Ma, Michael Biehler, Chiehyeon Lim, Jianjun Shi
2025 J jnl
A Review of Prognostics Methods for Electronic Packages: From a Structure-Aware System-Level Perspective.
IEEE Trans. Reliab.
Zihan Zhang, Alina Gorbunova, Keunho Rhew, Jianjun Shi
2025 J jnl
Graph-Based Variation Propagation Network for Modeling and Prediction of Hybrid Multi-Stage Manufacturing Systems.
IEEE Trans Autom. Sci. Eng.
Dhari F. Alenezi, Jianjun Shi, Jing Li
2025 J jnl
Physics-Informed Weakly-Supervised Learning for Quality Prediction of Manufacturing Processes.
IEEE Trans Autom. Sci. Eng.
Dhari F. Alenezi, Michael Biehler, Jianjun Shi, Jing Li
2025 J jnl
Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization.
IEEE Trans Autom. Sci. Eng.
Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi
2024 J jnl
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data.
IEEE Trans Autom. Sci. Eng.
Michael Biehler, Hao Yan, Jianjun Shi
2024 J jnl
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints.
Technometrics
Zihan Zhang, Shancong Mou, Mostafa Reisi Gahrooei, Massimo Pacella, Jianjun Shi
2024 J jnl
PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations.
IEEE Trans Autom. Sci. Eng.
Michael Biehler, Yiqi Sun, Shriyanshu Kode, Jing Li, Jianjun Shi
2024 J jnl
Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization.
CoRR
Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi
2023 J jnl
SGL-PCA: Health Index Construction With Sensor Sparsity and Temporal Monotonicity for Mixed High-Dimensional Signals.
IEEE Trans Autom. Sci. Eng.
Feng Wang, Andi Wang, Tao Tang, Jianjun Shi
2023 J jnl
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON.
CoRR
Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao
2022 J jnl
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly.
Technometrics
Juan Du, Shanshan Cao, Jeffrey H. Hunt, Xiaoming Huo, Jianjun Shi
2022 J jnl
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data.
CoRR
Michael Biehler, Hao Yan, Jianjun Shi
2022 J jnl
Additive Tensor Decomposition Considering Structural Data Information.
IEEE Trans Autom. Sci. Eng.
Shancong Mou, Andi Wang, Chuck Zhang, Jianjun Shi
2022 J jnl
An Augmented Regression Model for Tensors With Missing Values.
IEEE Trans Autom. Sci. Eng.
Feng Wang, Mostafa Reisi Gahrooei, Zhen Zhong, Tao Tang, Jianjun Shi
2022 J jnl
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation.
Technometrics
Andi Wang, Juan Du, Xi Zhang, Jianjun Shi
2022 J jnl
Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties.
IEEE Trans Autom. Sci. Eng.
Hongzhen Tian, Andi Wang, Jialei Chen, Xuzhou Jiang, Jianjun Shi, Chuck Zhang, Yajun Mei, Ben Wang
2021 J jnl
A Deep Learning Based Data Fusion Method for Degradation Modeling and Prognostics.
IEEE Trans. Reliab.
Feng Wang, Juan Du, Yang Zhao, Tao Tang, Jianjun Shi
2021 J jnl
Active Learning for Gaussian Process Considering Uncertainties With Application to Shape Control of Composite Fuselage.
IEEE Trans Autom. Sci. Eng.
Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi
2021 J jnl
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning.
Technometrics
Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi
2021 J jnl
Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs.
IISE Trans.
Andi Wang, Jianjun Shi
2021 J jnl
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data.
Technometrics
Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar, Jianjun Shi
2020 J jnl
AKM2D: An adaptive framework for online sensing and anomaly quantification.
IISE Trans.
Hao Yan, Kamran Paynabar, Jianjun Shi
2020 J jnl
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage.
CoRR
Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi
2020 J jnl
Additive Tensor Decomposition Considering Structural Data Information.
CoRR
Shancong Mou, Andi Wang, Chuck Zhang, Jianjun Shi
2020 J jnl
Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression.
IEEE Trans Autom. Sci. Eng.
Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Jianjun Shi
2020 J jnl
Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection.
Technometrics
Xiaowei Yue, Jin Gyu Park, Zhiyong Liang, Jianjun Shi
2019 J jnl
A Physics-Specific Change Point Detection Method Using Torque Signals in Pipe Tightening Processes.
IEEE Trans Autom. Sci. Eng.
Juan Du, Xi Zhang, Jianjun Shi
2018 J jnl
A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy.
IEEE Trans Autom. Sci. Eng.
Xiaowei Yue, Hao Yan, Jin Gyu Park, Zhiyong Liang, Jianjun Shi
2018 J jnl
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning.
CoRR
Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi
2018 J jnl
Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition.
Technometrics
Hao Yan, Kamran Paynabar, Jianjun Shi
2017 J jnl
Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition.
Technometrics
Hao Yan, Kamran Paynabar, Jianjun Shi
2017 J jnl
Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment.
IEEE Trans Autom. Sci. Eng.
Li Hao, Kaibo Liu, Nagi Gebraeel, Jianjun Shi
2017 J jnl
Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper.
IEEE Trans Autom. Sci. Eng.
Xiaowei Yue, Kan Wang, Hao Yan, Jin Gyu Park, Zhiyong Liang, Chuck Zhang, Ben Wang, Jianjun Shi
2017 J jnl
Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation.
IEEE Trans Autom. Sci. Eng.
Li Hao, Linkan Bian, Nagi Gebraeel, Jianjun Shi
2016 J jnl
An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes.
IEEE Trans Autom. Sci. Eng.
Cheng Zhou, Kaibo Liu, Xi Zhang, Weidong Zhang, Jianjun Shi
2016 J jnl
Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions.
IEEE Trans. Reliab.
Hao Yan, Kaibo Liu, Xi Zhang, Jianjun Shi
2015 J jnl
An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring.
Technometrics
Kaibo Liu, Yajun Mei, Jianjun Shi
2015 J jnl
Image-Based Process Monitoring Using Low-Rank Tensor Decomposition.
IEEE Trans Autom. Sci. Eng.
Hao Yan, Kamran Paynabar, Jianjun Shi
2015 — ch.
Stream of Variations Analysis.
Encyclopedia of Systems and Control
Jianjun Shi
2015 J jnl
System Informatics: From Methodology to Applications.
IEEE Intell. Syst.
Kang Zhao, Yao Xie, Kwok-Leung Tsui, Qingming Wei, Wenpo Huang, Wei Jiang, Yanting Li, Su Gon Cho, Seoung Bum Kim, Kaibo Liu, Jianjun Shi, Young-Seon Jeong, Byunghoon Kim, Seung Hoon Tong, In-Kap Chang, Myong Kee Jeong, Florent Charruaud, Lishuai Li
2014 J jnl
A single interval based classifier.
Ann. Oper. Res.
Heeyoung Kim, Xiaoming Huo, Jianjun Shi
2014 J jnl
Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network.
IEEE Trans Autom. Sci. Eng.
Kaibo Liu, Xi Zhang, Jianjun Shi
2013 J jnl
A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis.
IEEE Trans Autom. Sci. Eng.
Kaibo Liu, Nagi Gebraeel, Jianjun Shi
2012 J jnl
A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control.
Technometrics
Matthias H. Y. Tan, Jianjun Shi
2012 J jnl
Failure Profile Analysis of Complex Repairable Systems With Multiple Failure Modes.
IEEE Trans. Reliab.
Qingyu Yang, Yili Hong, Yong Chen, Jianjun Shi
2010 J jnl
Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties.
IEEE Trans Autom. Sci. Eng.
Jing Zhong, Jianjun Shi, Jeff C. F. Wu
2010 J jnl
Predictive Control Considering Model Uncertainty for Variation Reduction in Multistage Assembly Processes.
IEEE Trans Autom. Sci. Eng.
Jing Zhong, Jian Liu, Jianjun Shi
2010 J jnl
State Space Modeling for 3-D Variation Propagation in Rigid-Body Multistage Assembly Processes.
IEEE Trans Autom. Sci. Eng.
Jian Liu, Jionghua Jin, Jianjun Shi
2009 J jnl
Design of regression model-based automatic process control with reduced adjustment frequency.
Qual. Reliab. Eng. Int.
Liang Ye, Ershun Pan, Jianjun Shi
2008 J jnl
Modeling and analysis of disease and risk factors through learning Bayesian networks from observational data.
Qual. Reliab. Eng. Int.
Jing Li, Jianjun Shi, Devin Satz
2007 J jnl
Diagnosability study for quality improvement based on distributed sensing and information technology.
Int. J. Comput. Appl. Technol.
Shichang Du, Lifeng Xi, Ershun Pan, Jianjun Shi, Jun Ni, C. Richard Liu
2006 J jnl
An SPC monitoring system for cycle-based waveform signals using haar transform.
IEEE Trans Autom. Sci. Eng.
Shiyu Zhou, Baocheng Sun, Jianjun Shi
2006 J jnl
Distributed Sensing for Quality and Productivity Improvements.
IEEE Trans Autom. Sci. Eng.
Yu Ding, Elsayed A. Elsayed, S. Kumara, Jye-Chyi Lu, Feng Niu, Jianjun Shi
2006 J jnl
Distributed sensor system for fault detection and isolation in multistage manufacturing systems.
Int. J. Comput. Appl. Technol.
Shichang Du, Lifeng Xi, Jianjun Shi
2006 J jnl
Editorial Special Section on Distributed Sensing for Quality and Productivity Improvement.
IEEE Trans Autom. Sci. Eng.
Yu Ding, Jianjun Shi
2004 J jnl
Statistical estimation and testing for variation root-cause identification of multistage manufacturing Processes.
IEEE Trans Autom. Sci. Eng.
Shiyu Zhou, Yong Chen, Jianjun Shi
2003 J jnl
Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models.
Technometrics
Shiyu Zhou, Yu Ding, Yong Chen, Jianjun Shi
2003 J jnl
State space modeling of dimensional variation propagation in multistage machining process using differential motion vectors.
IEEE Trans. Robotics Autom.
Shiyu Zhou, Qiang Huang, Jianjun Shi
2001 J jnl
A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes.
Technometrics
Daniel W. Apley, Jianjun Shi
2001 J jnl
Automatic feature extraction of waveform signals for in-process diagnostic performance improvement.
J. Intell. Manuf.
Jionghua Jin, Jianjun Shi
2001 B conf
Reliability modeling and analysis of multi-station manufacturing processes considering the quality and reliability interaction.
SMC
Yong Chen, Jionghua Jin, Jianjun Shi
1999 J jnl
An order downdating algorithm for tracking system order and parameters in recursive least squares identification.
IEEE Trans. Signal Process.
Daniel W. Apley, Jianjun Shi
1999 J jnl
Feature-Preserving Data Compression of Stamping Tonnage Information Using Wavelets.
Technometrics
Jionghua Jin, Jianjun Shi
1998 B conf
Automatic feature extraction of waveform signals for in-process diagnostic performance improvement.
SMC
Jionghua Jin, Jianjun Shi