Junghui Chen - RankMe

67 papers C 3Journal 55Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Causal Knowledge-Assisted Semi-Supervised Dynamical Generative Latent Variable Model for Industrial Quality Index Prediction. IEEE Trans. Syst. Man Cybern. Syst. Wenxue Han, Ze Tian, Weiming Shao, Junghui Chen
2026	J	`jnl`	A physical causality-informed generative latent variable modeling paradigm for industrial virtual metrology. Adv. Eng. Informatics Weiming Shao, Hongjian Yu, Wenxue Han, Zeyu Yang, Junghui Chen
2026	J	`jnl`	Advanced batch monitoring: auto-segmentation of complex processes using slow feature partial least squares. Adv. Eng. Informatics Jingxiang Liu, Pin-Hsun Chen, Junghui Chen
2026	J	`jnl`	Enhancing industrial fault diagnosis via A Meta-learning: Zero-shot identification with constraint conditional variational autoencoder. Adv. Eng. Informatics Li Zhu, Ching-Lien Liu, Junghui Chen
2026	J	`jnl`	Enhancing within-batch quality prediction by cyber-physical latent state models and incomplete first-principles. Eng. Appl. Artif. Intell. Yi Shan Lee, Junghui Chen
2026	J	`jnl`	Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control. CoRR Runze Lin, Ziqi Zhuo, Junghui Chen, Lei Xie, Hongye Su
2025	J	`jnl`	A novel reinforced incomplete cyber-physics ensemble with error compensation learning for within-batch quality prediction. Adv. Eng. Informatics Yi Shan Lee, Junghui Chen
2025	J	`jnl`	Attention-Driven Supervised Dynamic Latent Variable Models for Monitoring Dynamic Industrial Process. IEEE Trans. Instrum. Meas. Jingxiang Liu, Guoqing Mu, Junghui Chen
2025	J	`jnl`	Collaborative twin actors framework using deep deterministic policy gradient for flexible batch processes. Neural Networks Xindong Wang, Zidong Liu, Junghui Chen
2025	J	`jnl`	Developing multistep-ahead quality prediction models for early warning. Comput. Ind. Eng. Yi Shan Lee, Sai Kit Ooi, Junghui Chen
2025	J	`jnl`	Erratum to "A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors"[Eng. Appl. Artif. Intell. 133 (2024) 107920]. Eng. Appl. Artif. Intell. Yi Shan Lee, Junghui Chen
2025	J	`jnl`	Integrating physical knowledge for generative-based zero-shot learning models in process fault diagnosis. Reliab. Eng. Syst. Saf. Guoqing Mu, Ching-Lien Liu, Junghui Chen
2025	J	`jnl`	Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning. CoRR Runze Lin, Junghui Chen, Biao Huang, Lei Xie, Hongye Su
2025	—	`conf`	Multi-Scale Diffusion Probabilistic Modeling for Predictive Maintenance of Non-Stationary Industrial Processes. CDC Chaoliang Zhao, Shujie Cui, Li Zhu, Junghui Chen
2025	J	`jnl`	Near-Infrared Spectrum Calibration by Deep Dictionary Learning Regression With Data Augmentation for In-Situ Moisture Measurement of Fluidized Bed Drying Process. IEEE Trans. Instrum. Meas. Qin Zhang, Tao Liu, Junghui Chen, Jingxiang Liu, Qi Zhang, Hongbin Zhang
2025	J	`jnl`	Noninvasive Stereoscopic Backlight Imaging Design for In Situ Measurement of Particle Size Distribution During Continuous Crystallization via COBC. IEEE Trans. Instrum. Meas. Ji Fan, Tao Liu, Yongcan Shuang, Mingyan Zhao, Haibo Niu, Junghui Chen, Yonghong Tan
2025	J	`jnl`	Semi-Supervised Robust Hidden Markov Regression for Large-Scale Time-Series Industrial Data Analytics and its Applications to Soft Sensing. IEEE Trans Autom. Sci. Eng. Weiming Shao, Wenxue Han, Chuanfa Xiao, Lei Chen, Meng-Qin Yu, Junghui Chen
2024	J	`jnl`	A Fast Predictive Control Method for Vehicle Path Tracking Based on a Recurrent Neural Network. IEEE Access Xialai Wu, Ling Lin, Junghui Chen, Shuxin Du
2024	J	`jnl`	A Priori Knowledge-Based Dual Hierarchical RNN for Spatial-Temporal Process Modeling: Using a Multitubular Reactor as a Case Study. IEEE Trans. Ind. Informatics Pei Sun, Junghui Chen, Haoyi Que
2024	J	`jnl`	A concise subspace projection based meta-learning method for fast modeling and monitoring in multi-grade semiconductor process. Comput. Ind. Eng. Jingxiang Liu, Weimin Zhu, Guoqing Mu, Chun-I Chen, Junghui Chen
2024	J	`jnl`	A mixture of shallow neural networks for virtual sensing: Could perform better than deep neural networks. Expert Syst. Appl. Weiming Shao, Xu Li, Yupeng Xing, Junghui Chen
2024	J	`jnl`	A novel semi-supervised robust learning framework for dynamic generative latent variable models and its application to industrial virtual metrology. Adv. Eng. Informatics Wenxue Han, Weiming Shao, Chihang Wei, Wei Song, Can Chen, Junghui Chen
2024	J	`jnl`	A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors. Eng. Appl. Artif. Intell. Yi Shan Lee, Junghui Chen
2024	J	`jnl`	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. Jingxiang Liu, Pin-Hsun Chen, Junghui Chen
2024	—	`conf`	Enhancing Fault Sample Generation Through Physical Knowledge Guidance. ASCC Guoqing Mu, Ching-Lien Liu, Li Zhu, Junghui Chen
2024	J	`jnl`	Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives. CoRR Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang
2024	J	`jnl`	Prognostics for Semiconductor Sustainability: Tool Failure Behavior Prediction in Fabrication Processes. IEEE Trans. Syst. Man Cybern. Syst. Li Zhu, Junghui Chen, Chun-I Chen
2023	J	`jnl`	Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control. Neural Networks Runze Lin, Junghui Chen, Lei Xie, Hongye Su
2023	J	`jnl`	Deep Learning-Based Binocular Image Analysis for In Situ Measurement of Particle Length Distribution During Crystallization Process. IEEE Trans. Instrum. Meas. Ji Fan, Tao Liu, Yongcan Shuang, Bo Song, Junghui Chen, Yonghong Tan
2023	J	`jnl`	In Situ Measurement of 2-D Crystal Size Distribution During Cooling Crystallization Process via a Binocular Telecentric Imaging System. IEEE Trans. Instrum. Meas. Ji Fan, Tao Liu, Yan Huo, Yonghong Tan, Junghui Chen
2023	J	`jnl`	Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control. CoRR Runze Lin, Yangyang Luo, Xialai Wu, Junghui Chen, Biao Huang, Lei Xie, Hongye Su
2023	J	`jnl`	Tensor slow feature analysis and its applications for batch process monitoring. Comput. Chem. Eng. Jingxiang Liu, Guoqing Mu, Junghui Chen
2022	J	`jnl`	Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang
2022	J	`jnl`	Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling. IEEE Trans. Instrum. Meas. Guoqing Mu, Junghui Chen
2022	—	`conf`	Enhancing Monitoring Performance of Pharmaceutical Processes Using Dual-Attention Latent Dynamic Conditional State-Space Model. ASCC Yi Shan Lee, Junghui Chen
2022	J	`jnl`	Establishing Convolutional Neural Network Kalman Recurrent Variational Autoencoder Using Infrared Imaging for Process Monitoring: An Application in Spinning Disk Processes. IEEE Trans. Instrum. Meas. Yongci Zhang, Yi Shan Lee, Huanting Lin, Junghui Chen
2022	J	`jnl`	Performance assessment for non-Gaussian systems by minimum entropy control and dynamic data reconciliation. J. Frankl. Inst. Mifeng Ren, Wen Zhang, Junghui Chen, Peng Shi, Gaowei Yan
2022	J	`jnl`	Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring. Neural Networks Yi Shan Lee, Junghui Chen
2022	J	`jnl`	Variational PLS-Based Calibration Model Building With Semi-Supervised Learning for Moisture Measurement During Fluidized Bed Drying by NIR Spectroscopy. IEEE Trans. Instrum. Meas. Guoqing Mu, Tao Liu, Junghui Chen, Chao Shang, Chongquan Zhong
2021	J	`jnl`	Dual-layer feature extraction based soft sensor methods and applications to industrial polyethylene processes. Comput. Chem. Eng. Jingxiang Liu, Jie Hou, Junghui Chen
2021	J	`jnl`	Self-tuning variational mode decomposition. J. Frankl. Inst. Qiming Chen, Junghui Chen, Xun Lang, Lei Xie, Naveed ur Rehman, Hongye Su
2021	J	`jnl`	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. Guoqing Mu, Tao Liu, Chuang Xue, Junghui Chen
2021	J	`jnl`	Statistical information based two-layer model predictive control with dynamic economy and control performance for non-Gaussian stochastic process. J. Frankl. Inst. Mifeng Ren, Junghui Chen, Peng Shi, Gaowei Yan, Lan Cheng
2021	J	`jnl`	Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang
2020	J	`jnl`	Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Trans. Ind. Informatics Kai Wang, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
2020	C	`conf`	Diagnosis of Nonlinearity-induced Oscillations in Process Control Loops Based on Adaptive Chirp Mode Decomposition. ACC Qiming Chen, Junghui Chen, Xun Lang, Lei Xie, Chenglong Jiang, Hongye Su
2020	J	`jnl`	Functional Soft Sensor Based on Spectra Data for Predicting Multiple Quality Variables. IEEE Access Jingxiang Liu, Dan Wang, Junghui Chen, Jie Hou
2020	—	`conf`	Prognostics of tool failing behavior based on autoassociative Gaussian process regression for semiconductor manufacturing. ICIT Li Zhu, Junghui Chen, Chun-I Chen
2019	J	`jnl`	Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances. IEEE Trans Autom. Sci. Eng. Kai Wang, Junghui Chen, Zhihuan Song
2019	J	`jnl`	Development of Self-Learning Kernel Regression Models for Virtual Sensors on Nonlinear Processes. IEEE Trans Autom. Sci. Eng. Chihang Wei, Junghui Chen, Zhihuan Song, Chun-I Chen
2019	J	`jnl`	Enhancing performance of generalized minimum variance control via dynamic data reconciliation. J. Frankl. Inst. Zhengjiang Zhang, Junghui Chen
2019	—	`conf`	Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes. ASCC Kai Wang, Junghui Chen, Zhihuan Song
2019	J	`jnl`	Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme. IEEE Trans. Control. Syst. Technol. Kai Wang, Junghui Chen, Zhihuan Song
2019	—	`conf`	Reducing Cost of Process Modeling through Multi-source Data Transfer Learning. ASCC Lester Lik Teck Chan, Junghui Chen
2019	J	`jnl`	Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
2018	J	`jnl`	A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method. J. Frankl. Inst. Kai Wang, Junghui Chen, Zhihuan Song
2018	C	`conf`	Development of Decay Based PLS Model and Its Economic Run-to-Run Control for Semiconductor Processes. ACC Pengcheng Lu, Junghui Chen, Lei Xie
2018	J	`jnl`	Fault diagnosis for processes with feedback control loops by shifted output sampling approach. J. Frankl. Inst. Kai Wang, Junghui Chen, Zhihuan Song
2017	J	`jnl`	Probabilistic uncertainty based simultaneous process design and control with iterative expected improvement model. Comput. Chem. Eng. Lester Lik Teck Chan, Junghui Chen
2017	—	`conf`	Soft sensors of nonlinear industrial processes based on self-learning kernel regression model. ASCC Chihang Wei, Junghui Chen, Zhihuan Song, Chun-I Chen
2016	J	`jnl`	Plant-Wide Industrial Process Monitoring: A Distributed Modeling Framework. IEEE Trans. Ind. Informatics Zhiqiang Ge, Junghui Chen
2016	J	`jnl`	Single Neuron Stochastic Predictive PID Control Algorithm for Nonlinear and Non-Gaussian Systems Using the Survival Information Potential Criterion. Entropy Mifeng Ren, Ting Cheng, Junghui Chen, Xinying Xu, Lan Cheng
2015	J	`jnl`	Correntropy based data reconciliation and gross error detection and identification for nonlinear dynamic processes. Comput. Chem. Eng. Zhengjiang Zhang, Junghui Chen
2014	J	`jnl`	Simultaneous data reconciliation and gross error detection for dynamic systems using particle filter and measurement test. Comput. Chem. Eng. Zhengjiang Zhang, Junghui Chen
2009	—	`conf`	Development of MBPLS Based Control for Serial Operation Processes. CSIE (4) Junghui Chen, Ren-Kai Tsai
2006	—	`ch.`	Intelligent Experimental Design Using an Artificial Neural Network Meta Model and Information Theory. Integrated Intelligent Systems for Engineering Design Shi-Shang Jang, David Shan-Hill Wong, Junghui Chen
2005	C	`conf`	Assessment and diagnosis of feedforward/feedback control system. ACC Junghui Chen, Yuezhi Yea