Junghui Chen

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 42

Top Topics

Fault Detection

Industrial Process

Supervised Learning

Kernel Regression

Top Venues

IEEE Trans. Instrum. Meas.

J. Frankl. Inst.

Comput. Chem. Eng.

Publications

Yi Shan Lee, Junghui Chen
A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors. Eng. Appl. Artif. Intell. 133 (2024)
Li Zhu, Junghui Chen, Chun-I Chen
Prognostics for Semiconductor Sustainability: Tool Failure Behavior Prediction in Fabrication Processes. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
Jingxiang Liu, Weimin Zhu, Guoqing Mu, Chun-I Chen, Junghui Chen
A concise subspace projection based meta-learning method for fast modeling and monitoring in multi-grade semiconductor process. Comput. Ind. Eng. 188 (2024)
Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives. CoRR (2024)
Weiming Shao, Xu Li, Yupeng Xing, Junghui Chen
A mixture of shallow neural networks for virtual sensing: Could perform better than deep neural networks. Expert Syst. Appl. 256 (2024)
Pei Sun, Junghui Chen, Haoyi Que
A Priori Knowledge-Based Dual Hierarchical RNN for Spatial-Temporal Process Modeling: Using a Multitubular Reactor as a Case Study. IEEE Trans. Ind. Informatics 20 (1) (2024)
Jingxiang Liu, Pin-Hsun Chen, Junghui Chen
Automatic segmentation of dynamic and static models based on high order slow feature analysis and principal component analysis for multiphase batch monitoring. Expert Syst. Appl. 248 (2024)
Ji Fan, Tao Liu, Yongcan Shuang, Bo Song, Junghui Chen, Yonghong Tan
Deep Learning-Based Binocular Image Analysis for In Situ Measurement of Particle Length Distribution During Crystallization Process. IEEE Trans. Instrum. Meas. 72 (2023)
Ji Fan, Tao Liu, Yan Huo, Yonghong Tan, Junghui Chen
In Situ Measurement of 2-D Crystal Size Distribution During Cooling Crystallization Process via a Binocular Telecentric Imaging System. IEEE Trans. Instrum. Meas. 72 (2023)
Runze Lin, Yangyang Luo, Xialai Wu, Junghui Chen, Biao Huang, Lei Xie, Hongye Su
Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control. CoRR (2023)
Jingxiang Liu, Guoqing Mu, Junghui Chen
Tensor slow feature analysis and its applications for batch process monitoring. Comput. Chem. Eng. 173 (2023)
Runze Lin, Junghui Chen, Lei Xie, Hongye Su
Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control. Neural Networks 158 (2023)
Guoqing Mu, Junghui Chen
Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling. IEEE Trans. Instrum. Meas. 71 (2022)
Yi Shan Lee, Junghui Chen
Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring. Neural Networks 154 (2022)
Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Yongci Zhang, Yi Shan Lee, Huanting Lin, Junghui Chen
Establishing Convolutional Neural Network Kalman Recurrent Variational Autoencoder Using Infrared Imaging for Process Monitoring: An Application in Spinning Disk Processes. IEEE Trans. Instrum. Meas. 71 (2022)
Guoqing Mu, Tao Liu, Junghui Chen, Chao Shang, Chongquan Zhong
Variational PLS-Based Calibration Model Building With Semi-Supervised Learning for Moisture Measurement During Fluidized Bed Drying by NIR Spectroscopy. IEEE Trans. Instrum. Meas. 71 (2022)
Mifeng Ren, Wen Zhang, Junghui Chen, Peng Shi, Gaowei Yan
Performance assessment for non-Gaussian systems by minimum entropy control and dynamic data reconciliation. J. Frankl. Inst. 359 (8) (2022)
Yi Shan Lee, Junghui Chen
Enhancing Monitoring Performance of Pharmaceutical Processes Using Dual-Attention Latent Dynamic Conditional State-Space Model. ASCC (2022)
Qiming Chen, Junghui Chen, Xun Lang, Lei Xie, Naveed ur Rehman, Hongye Su
Self-tuning variational mode decomposition. J. Frankl. Inst. 358 (15) (2021)
Mifeng Ren, Junghui Chen, Peng Shi, Gaowei Yan, Lan Cheng
Statistical information based two-layer model predictive control with dynamic economy and control performance for non-Gaussian stochastic process. J. Frankl. Inst. 358 (4) (2021)
Jingxiang Liu, Jie Hou, Junghui Chen
Dual-layer feature extraction based soft sensor methods and applications to industrial polyethylene processes. Comput. Chem. Eng. 154 (2021)
Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang
Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks 136 (2021)
Guoqing Mu, Tao Liu, Chuang Xue, Junghui Chen
Semi-Supervised Learning-Based Calibration Model Building of NIR Spectroscopy for In Situ Measurement of Biochemical Processes Under Insufficiently and Inaccurately Labeled Samples. IEEE Trans. Instrum. Meas. 70 (2021)
Kai Wang, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Trans. Ind. Informatics 16 (12) (2020)
Li Zhu, Junghui Chen, Chun-I Chen
Prognostics of tool failing behavior based on autoassociative Gaussian process regression for semiconductor manufacturing. ICIT (2020)
Qiming Chen, Junghui Chen, Xun Lang, Lei Xie, Chenglong Jiang, Hongye Su
Diagnosis of Nonlinearity-induced Oscillations in Process Control Loops Based on Adaptive Chirp Mode Decomposition. ACC (2020)
Jingxiang Liu, Dan Wang, Junghui Chen, Jie Hou
Functional Soft Sensor Based on Spectra Data for Predicting Multiple Quality Variables. IEEE Access 8 (2020)
Lester Lik Teck Chan, Junghui Chen
Reducing Cost of Process Modeling through Multi-source Data Transfer Learning. ASCC (2019)
Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access 7 (2019)
Zhengjiang Zhang, Junghui Chen
Enhancing performance of generalized minimum variance control via dynamic data reconciliation. J. Frankl. Inst. 356 (15) (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes. ASCC (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances. IEEE Trans Autom. Sci. Eng. 16 (3) (2019)
Chihang Wei, Junghui Chen, Zhihuan Song, Chun-I Chen
Development of Self-Learning Kernel Regression Models for Virtual Sensors on Nonlinear Processes. IEEE Trans Autom. Sci. Eng. 16 (1) (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme. IEEE Trans. Control. Syst. Technol. 27 (1) (2019)
Pengcheng Lu, Junghui Chen, Lei Xie
Development of Decay Based PLS Model and Its Economic Run-to-Run Control for Semiconductor Processes. ACC (2018)
Kai Wang, Junghui Chen, Zhihuan Song
Fault diagnosis for processes with feedback control loops by shifted output sampling approach. J. Frankl. Inst. 355 (7) (2018)
Kai Wang, Junghui Chen, Zhihuan Song
A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method. J. Frankl. Inst. 355 (14) (2018)
Lester Lik Teck Chan, Junghui Chen
Probabilistic uncertainty based simultaneous process design and control with iterative expected improvement model. Comput. Chem. Eng. 106 (2017)
Chihang Wei, Junghui Chen, Zhihuan Song, Chun-I Chen
Soft sensors of nonlinear industrial processes based on self-learning kernel regression model. ASCC (2017)
Zhiqiang Ge, Junghui Chen
Plant-Wide Industrial Process Monitoring: A Distributed Modeling Framework. IEEE Trans. Ind. Informatics 12 (1) (2016)
Mifeng Ren, Ting Cheng, Junghui Chen, Xinying Xu, Lan Cheng
Single Neuron Stochastic Predictive PID Control Algorithm for Nonlinear and Non-Gaussian Systems Using the Survival Information Potential Criterion. Entropy 18 (6) (2016)
Zhengjiang Zhang, Junghui Chen
Correntropy based data reconciliation and gross error detection and identification for nonlinear dynamic processes. Comput. Chem. Eng. 75 (2015)
Zhengjiang Zhang, Junghui Chen
Simultaneous data reconciliation and gross error detection for dynamic systems using particle filter and measurement test. Comput. Chem. Eng. 69 (2014)
Junghui Chen, Ren-Kai Tsai
Development of MBPLS Based Control for Serial Operation Processes. CSIE (4) (2009)
Junghui Chen, Yuezhi Yea
Assessment and diagnosis of feedforward/feedback control system. ACC (2005)