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ORCIDJianjun Shi 0001
Person information
- affiliation: Georgia Tech, Milton Stewart School of Industrial and Systems Engineering, Atlanta, GA, USA
Other persons with the same name
- Jianjun Shi — disambiguation page
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2020 – today
- 2024
[j51]Michael Biehler
, Hao Yan, Jianjun Shi:
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data. IEEE Trans Autom. Sci. Eng. 21(1): 402-415 (2024)- [j50]Michael Biehler, Yiqi Sun, Shriyanshu Kode, Jing Li, Jianjun Shi:
PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations. IEEE Trans Autom. Sci. Eng. 21(4): 7550-7561 (2024) - 2023
- [j49]Feng Wang, Andi Wang, Tao Tang, Jianjun Shi:
SGL-PCA: Health Index Construction With Sensor Sparsity and Temporal Monotonicity for Mixed High-Dimensional Signals. IEEE Trans Autom. Sci. Eng. 20(1): 372-384 (2023) - [j48]Zhen Zhong, Kamran Paynabar, Jianjun (Jan) Shi:
Image-Based Feedback Control Using Tensor Analysis. Technometrics 65(3): 305-314 (2023) - 2022
- [j47]Hongzhen Tian, Andi Wang, Jialei Chen, Xuzhou Jiang, Jianjun Shi, Chuck Zhang, Yajun Mei, Ben Wang:
Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties. IEEE Trans Autom. Sci. Eng. 19(2): 895-906 (2022) - [j46]Shancong Mou, Andi Wang, Chuck Zhang, Jianjun Shi:
Additive Tensor Decomposition Considering Structural Data Information. IEEE Trans Autom. Sci. Eng. 19(4): 2904-2917 (2022) - [j45]Feng Wang, Mostafa Reisi Gahrooei, Zhen Zhong, Tao Tang, Jianjun Shi:
An Augmented Regression Model for Tensors With Missing Values. IEEE Trans Autom. Sci. Eng. 19(4): 2968-2984 (2022) - [j44]Andi Wang, Juan Du, Xi Zhang, Jianjun Shi:
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation. Technometrics 64(3): 384-395 (2022) - [j43]Juan Du, Shanshan Cao, Jeffrey H. Hunt, Xiaoming Huo, Jianjun Shi:
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly. Technometrics 64(3): 409-418 (2022) - [i4]Michael Biehler, Hao Yan, Jianjun Shi:
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data. CoRR abs/2202.13788 (2022) - 2021
- [j42]Andi Wang, Jianjun Shi:
Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs. IISE Trans. 53(5): 582-596 (2021) - [j41]Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi:
Active Learning for Gaussian Process Considering Uncertainties With Application to Shape Control of Composite Fuselage. IEEE Trans Autom. Sci. Eng. 18(1): 36-46 (2021) - [j40]Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar, Jianjun Shi:
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data. Technometrics 63(2): 147-159 (2021) - [j39]Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi:
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning. Technometrics 63(3): 370-383 (2021) - [j38]Feng Wang, Juan Du, Yang Zhao, Tao Tang, Jianjun Shi:
A Deep Learning Based Data Fusion Method for Degradation Modeling and Prognostics. IEEE Trans. Reliab. 70(2): 775-789 (2021) - [d1]Michael Biehler, Zhen Zhong, Jianjun Shi:
SAGE: Stealthy Attack GEneration. IEEE DataPort, 2021
- 2020
- [j37]Hao Yan, Kamran Paynabar, Jianjun Shi:
AKM2D: An adaptive framework for online sensing and anomaly quantification. IISE Trans. 52(9): 1032-1046 (2020) - [j36]Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Jianjun Shi:
Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression. IEEE Trans Autom. Sci. Eng. 17(2): 684-696 (2020) - [j35]Xiaowei Yue, Jin Gyu Park, Zhiyong Liang, Jianjun Shi:
Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection. Technometrics 62(1): 116-129 (2020) - [i3]Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi:
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage. CoRR abs/2004.10931 (2020) - [i2]Shancong Mou, Andi Wang, Chuck Zhang, Jianjun Shi:
Additive Tensor Decomposition Considering Structural Data Information. CoRR abs/2007.13860 (2020)
2010 – 2019
- 2019
- [j34]Juan Du, Xi Zhang, Jianjun Shi:
A Physics-Specific Change Point Detection Method Using Torque Signals in Pipe Tightening Processes. IEEE Trans Autom. Sci. Eng. 16(3): 1289-1300 (2019) - 2018
- [j33]Xiaowei Yue, Hao Yan, Jin Gyu Park, Zhiyong Liang, Jianjun Shi:
A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy. IEEE Trans Autom. Sci. Eng. 15(3): 1258-1271 (2018) - [j32]Hao Yan, Kamran Paynabar, Jianjun Shi:
Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition. Technometrics 60(2): 181-197 (2018) - [i1]Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi:
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning. CoRR abs/1804.03797 (2018) - 2017
- [j31]Xiaowei Yue, Kan Wang, Hao Yan, Jin Gyu Park, Zhiyong Liang, Chuck Zhang, Ben Wang, Jianjun Shi:
Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper. IEEE Trans Autom. Sci. Eng. 14(1): 196-207 (2017) - [j30]Li Hao, Kaibo Liu, Nagi Gebraeel, Jianjun Shi:
Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment. IEEE Trans Autom. Sci. Eng. 14(2): 1042-1052 (2017) - [j29]Li Hao, Linkan Bian, Nagi Gebraeel, Jianjun Shi:
Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation. IEEE Trans Autom. Sci. Eng. 14(2): 1211-1224 (2017) - [j28]Hao Yan, Kamran Paynabar, Jianjun Shi:
Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition. Technometrics 59(1): 102-114 (2017) - 2016
- [j27]Cheng Zhou, Kaibo Liu, Xi Zhang, Weidong Zhang, Jianjun Shi:
An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes. IEEE Trans Autom. Sci. Eng. 13(2): 1102-1111 (2016) - [j26]Hao Yan, Kaibo Liu, Xi Zhang, Jianjun Shi:
Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions. IEEE Trans. Reliab. 65(3): 1416-1426 (2016) - 2015
- [j25]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:
System Informatics: From Methodology to Applications. IEEE Intell. Syst. 30(6): 12-29 (2015) - [j24]Hao Yan, Kamran Paynabar, Jianjun Shi:
Image-Based Process Monitoring Using Low-Rank Tensor Decomposition. IEEE Trans Autom. Sci. Eng. 12(1): 216-227 (2015) - [j23]Kaibo Liu, Yajun Mei, Jianjun Shi:
An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring. Technometrics 57(3): 305-319 (2015) - [r1]Jianjun Shi:
Stream of Variations Analysis. Encyclopedia of Systems and Control 2015 - 2014
- [j22]Heeyoung Kim, Xiaoming Huo, Jianjun Shi:
A single interval based classifier. Ann. Oper. Res. 216(1): 307-325 (2014) - [j21]Kaibo Liu, Xi Zhang, Jianjun Shi:
Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network. IEEE Trans Autom. Sci. Eng. 11(2): 452-462 (2014) - 2013
- [j20]Kaibo Liu, Nagi Gebraeel, Jianjun Shi:
A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis. IEEE Trans Autom. Sci. Eng. 10(3): 652-664 (2013) - 2012
- [j19]Matthias H. Y. Tan, Jianjun Shi:
A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control. Technometrics 54(3): 294-307 (2012) - [j18]Qingyu Yang, Yili Hong, Yong Chen, Jianjun Shi:
Failure Profile Analysis of Complex Repairable Systems With Multiple Failure Modes. IEEE Trans. Reliab. 61(1): 180-191 (2012) - 2010
- [j17]Jing Zhong, Jianjun Shi, Jeff C. F. Wu:
Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties. IEEE Trans Autom. Sci. Eng. 7(2): 266-273 (2010) - [j16]Jian Liu, Jionghua Jin, Jianjun Shi:
State Space Modeling for 3-D Variation Propagation in Rigid-Body Multistage Assembly Processes. IEEE Trans Autom. Sci. Eng. 7(2): 274-290 (2010) - [j15]Jing Zhong, Jian Liu, Jianjun Shi:
Predictive Control Considering Model Uncertainty for Variation Reduction in Multistage Assembly Processes. IEEE Trans Autom. Sci. Eng. 7(4): 724-735 (2010)
2000 – 2009
- 2009
- [j14]Liang Ye, Ershun Pan, Jianjun Shi:
Design of regression model-based automatic process control with reduced adjustment frequency. Qual. Reliab. Eng. Int. 25(8): 997-1013 (2009) - 2008
- [j13]Jing Li, Jianjun Shi, Devin Satz:
Modeling and analysis of disease and risk factors through learning Bayesian networks from observational data. Qual. Reliab. Eng. Int. 24(3): 291-302 (2008) - 2007
- [j12]Shichang Du, Lifeng Xi, Ershun Pan, Jianjun Shi, Jun Ni, C. Richard Liu:
Diagnosability study for quality improvement based on distributed sensing and information technology. Int. J. Comput. Appl. Technol. 28(2/3): 117-127 (2007) - 2006
- [j11]Shichang Du, Lifeng Xi, Jianjun Shi:
Distributed sensor system for fault detection and isolation in multistage manufacturing systems. Int. J. Comput. Appl. Technol. 25(4): 182-191 (2006) - [j10]Shiyu Zhou, Baocheng Sun, Jianjun Shi:
An SPC monitoring system for cycle-based waveform signals using haar transform. IEEE Trans Autom. Sci. Eng. 3(1): 60-72 (2006) - [j9]Yu Ding, Jianjun Shi:
Editorial Special Section on Distributed Sensing for Quality and Productivity Improvement. IEEE Trans Autom. Sci. Eng. 3(4): 342-343 (2006) - [j8]Yu Ding, Elsayed A. Elsayed, S. Kumara, Jye-Chyi Lu, Feng Niu, Jianjun Shi:
Distributed Sensing for Quality and Productivity Improvements. IEEE Trans Autom. Sci. Eng. 3(4): 344-359 (2006) - 2004
- [j7]Shiyu Zhou, Yong Chen, Jianjun Shi:
Statistical estimation and testing for variation root-cause identification of multistage manufacturing Processes. IEEE Trans Autom. Sci. Eng. 1(1): 73-83 (2004) - 2003
- [j6]Shiyu Zhou, Yu Ding, Yong Chen, Jianjun Shi:
Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models. Technometrics 45(4): 312-325 (2003) - [j5]Shiyu Zhou, Qiang Huang, Jianjun Shi:
State space modeling of dimensional variation propagation in multistage machining process using differential motion vectors. IEEE Trans. Robotics Autom. 19(2): 296-309 (2003) - 2001
- [j4]Jionghua Jin, Jianjun Shi:
Automatic feature extraction of waveform signals for in-process diagnostic performance improvement. J. Intell. Manuf. 12(3): 257-268 (2001) - [j3]Daniel W. Apley, Jianjun Shi:
A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes. Technometrics 43(1): 84-95 (2001) - [c2]Yong Chen, Jionghua Jin, Jianjun Shi:
Reliability modeling and analysis of multi-station manufacturing processes considering the quality and reliability interaction. SMC 2001: 2093-2098
1990 – 1999
- 1999
- [j2]Jionghua Jin, Jianjun Shi:
Feature-Preserving Data Compression of Stamping Tonnage Information Using Wavelets. Technometrics 41(4): 327-339 (1999) - [j1]Daniel W. Apley, Jianjun Shi:
An order downdating algorithm for tracking system order and parameters in recursive least squares identification. IEEE Trans. Signal Process. 47(11): 3134-3137 (1999) - 1998
- [c1]Jionghua Jin, Jianjun Shi:
Automatic feature extraction of waveform signals for in-process diagnostic performance improvement. SMC 1998: 4716-4721
Coauthor Index
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