Feature-Preserving Data Compression of Stamping Tonnage Information Using Wavelets. - Jionghua Jin 001; Jianjun Shi 001 (Technometrics, 1999)

An order downdating algorithm for tracking system order and parameters in recursive least squares identification. - Daniel W. Apley; Jianjun Shi 001 (IEEE Trans. Signal Process., 1999)

Reliability modeling and analysis of multi-station manufacturing processes considering the quality and reliability interaction. - Yong Chen; Jionghua Jin 001; Jianjun Shi 001 (SMC, 2001)

Automatic feature extraction of waveform signals for in-process diagnostic performance improvement. - Jionghua Jin 001; Jianjun Shi 001 (J. Intell. Manuf., 2001)

A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes. - Daniel W. Apley; Jianjun Shi 001 (Technometrics, 2001)

Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models. - Shiyu Zhou; Yu Ding 002; Yong Chen; Jianjun Shi 001 (Technometrics, 2003)

State space modeling of dimensional variation propagation in multistage machining process using differential motion vectors. - Shiyu Zhou; Qiang Huang 001; Jianjun Shi 001 (IEEE Trans. Robotics Autom., 2003)

Statistical estimation and testing for variation root-cause identification of multistage manufacturing Processes. - Shiyu Zhou; Yong Chen; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2004)

Distributed sensor system for fault detection and isolation in multistage manufacturing systems. - Shichang Du; Lifeng Xi; Jianjun Shi 001 (Int. J. Comput. Appl. Technol., 2006)

Distributed Sensing for Quality and Productivity Improvements. - Yu Ding 002; Elsayed A. Elsayed; S. Kumara; Jye-Chyi Lu; Feng Niu; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2006)

Editorial Special Section on Distributed Sensing for Quality and Productivity Improvement. - Yu Ding 002; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2006)

An SPC monitoring system for cycle-based waveform signals using haar transform. - Shiyu Zhou; Baocheng Sun 003; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2006)

Diagnosability study for quality improvement based on distributed sensing and information technology. - Shichang Du; Lifeng Xi; Ershun Pan; Jianjun Shi 001; Jun Ni 002; C. Richard Liu (Int. J. Comput. Appl. Technol., 2007)

Modeling and analysis of disease and risk factors through learning Bayesian networks from observational data. - Jing Li 016; Jianjun Shi 001; Devin Satz (Qual. Reliab. Eng. Int., 2008)

Design of regression model-based automatic process control with reduced adjustment frequency. - Liang Ye; Ershun Pan; Jianjun Shi 001 (Qual. Reliab. Eng. Int., 2009)

State Space Modeling for 3-D Variation Propagation in Rigid-Body Multistage Assembly Processes. - Jian Liu; Jionghua Jin 001; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2010)

Predictive Control Considering Model Uncertainty for Variation Reduction in Multistage Assembly Processes. - Jing Zhong; Jian Liu; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2010)

Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties. - Jing Zhong; Jianjun Shi 001; Jeff C. F. Wu (IEEE Trans Autom. Sci. Eng., 2010)

A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control. - Matthias H. Y. Tan; Jianjun Shi 001 (Technometrics, 2012)

Failure Profile Analysis of Complex Repairable Systems With Multiple Failure Modes. - Qingyu Yang; Yili Hong 001; Yong Chen; Jianjun Shi 001 (IEEE Trans. Reliab., 2012)

A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis. - Kaibo Liu; Nagi Gebraeel; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2013)

A single interval based classifier. - Heeyoung Kim; Xiaoming Huo; Jianjun Shi 001 (Ann. Oper. Res., 2014)

Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network. - Kaibo Liu; Xi Zhang 006; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2014)

System Informatics: From Methodology to Applications. - Kang Zhao 001; Yao Xie 002; Kwok-Leung Tsui; Qingming Wei; Wenpo Huang; Wei Jiang; Yanting Li; Su Gon Cho; Seoung Bum Kim; Kaibo Liu; Jianjun Shi 001; Young-Seon Jeong 001; et al. (IEEE Intell. Syst., 2015)

Image-Based Process Monitoring Using Low-Rank Tensor Decomposition. - Hao Yan; Kamran Paynabar; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2015)

An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring. - Kaibo Liu; Yajun Mei; Jianjun Shi 001 (Technometrics, 2015)

Stream of Variations Analysis. - Jianjun Shi 001 (Encyclopedia of Systems and Control, 2015)

An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes. - Cheng Zhou; Kaibo Liu; Xi Zhang 006; Weidong Zhang; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2016)

Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions. - Hao Yan; Kaibo Liu; Xi Zhang 006; Jianjun Shi 001 (IEEE Trans. Reliab., 2016)

Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation. - Li Hao; Linkan Bian; Nagi Gebraeel; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2017)

Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment. - Li Hao; Kaibo Liu; Nagi Gebraeel; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2017)

Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper. - Xiaowei Yue; Kan Wang 001; Hao Yan; Jin Gyu Park; Zhiyong Liang; Chuck Zhang; Ben Wang 001; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2017)

Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition. - Hao Yan; Kamran Paynabar; Jianjun Shi 001 (Technometrics, 2017)

A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy. - Xiaowei Yue; Hao Yan; Jin Gyu Park; Zhiyong Liang; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2018)

Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition. - Hao Yan; Kamran Paynabar; Jianjun Shi 001 (Technometrics, 2018)

A Physics-Specific Change Point Detection Method Using Torque Signals in Pipe Tightening Processes. - Juan Du 009; Xi Zhang 006; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2019)

AKM2D: An adaptive framework for online sensing and anomaly quantification. - Hao Yan; Kamran Paynabar; Jianjun Shi 001 (IISE Trans., 2020)

Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression. - Mostafa Reisi Gahrooei; Kamran Paynabar; Massimo Pacella; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2020)

Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection. - Xiaowei Yue; Jin Gyu Park; Zhiyong Liang; Jianjun Shi 001 (Technometrics, 2020)

Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs. - Andi Wang 001; Jianjun Shi 001 (IISE Trans., 2021)

Active Learning for Gaussian Process Considering Uncertainties With Application to Shape Control of Composite Fuselage. - Xiaowei Yue; Yuchen Wen; Jeffrey H. Hunt; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2021)

Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data. - Mostafa Reisi Gahrooei; Hao Yan; Kamran Paynabar; Jianjun Shi 001 (Technometrics, 2021)

Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning. - Chen Zhang; Hao Yan; Seungho Lee; Jianjun Shi 001 (Technometrics, 2021)

A Deep Learning Based Data Fusion Method for Degradation Modeling and Prognostics. - Feng Wang 024; Juan Du 009; Yang Zhao; Tao Tang 004; Jianjun Shi 001 (IEEE Trans. Reliab., 2021)

SAGE: Stealthy Attack GEneration. - Michael Biehler; Zhen Zhong; Jianjun Shi 001 (IEEE DataPort, 2021)

Additive Tensor Decomposition Considering Structural Data Information. - Shancong Mou; Andi Wang 001; Chuck Zhang; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2022)

Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties. - Hongzhen Tian; Andi Wang 001; Jialei Chen 002; Xuzhou Jiang; Jianjun Shi 001; Chuck Zhang; Yajun Mei; Ben Wang 001 (IEEE Trans Autom. Sci. Eng., 2022)

An Augmented Regression Model for Tensors With Missing Values. - Feng Wang 024; Mostafa Reisi Gahrooei; Zhen Zhong; Tao Tang 004; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2022)

A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly. - Juan Du 009; Shanshan Cao; Jeffrey H. Hunt; Xiaoming Huo; Jianjun Shi 001 (Technometrics, 2022)

Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation. - Andi Wang 001; Juan Du 009; Xi Zhang 006; Jianjun Shi 001 (Technometrics, 2022)

VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON. - Haoping Bai; Shancong Mou; Tatiana Likhomanenko; Ramazan Gokberk Cinbis; Oncel Tuzel; Ping Huang; Jiulong Shan; Jianjun Shi 001; Meng Cao (CoRR, 2023)

SGL-PCA: Health Index Construction With Sensor Sparsity and Temporal Monotonicity for Mixed High-Dimensional Signals. - Feng Wang 024; Andi Wang 001; Tao Tang 004; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2023)

Image-Based Feedback Control Using Tensor Analysis. - Zhen Zhong; Kamran Paynabar; Jianjun (Jan) Shi (Technometrics, 2023)

ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data. - Michael Biehler; Hao Yan; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2024)

PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations. - Michael Biehler; Yiqi Sun; Shriyanshu Kode; Jing Li 016; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2024)

Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints. - Zihan Zhang; Shancong Mou; Mostafa Reisi Gahrooei; Massimo Pacella; Jianjun Shi 001 (Technometrics, 2024)

Physics-Informed Weakly-Supervised Learning for Quality Prediction of Manufacturing Processes. - Dhari F. Alenezi; Michael Biehler; Jianjun Shi 001; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

Graph-Based Variation Propagation Network for Modeling and Prediction of Hybrid Multi-Stage Manufacturing Systems. - Dhari F. Alenezi; Jianjun Shi 001; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization. - Shancong Mou; Raviteja Vemulapalli; Shiyu Li; Yuxuan Liu 014; C. Thomas; Meng Cao; Haoping Bai; Oncel Tuzel; Ping Huang; Jiulong Shan; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2025)