Junghui Chen

发表

Correntropy Kernel Learning for Nonlinear System Identification with Outliers

Junghui Chen, Yi Liu, Junghui Chen, 2014 .

Ensemble local kernel learning for online prediction of distributed product outputs in chemical processes

Junghui Chen, Yi Liu, Zhengjiang Zhang, 2015 .

Development of soft-sensors for online quality prediction of sequential-reactor-multi-grade industrial processes

Yi Liu, Junghui Chen, Zengliang Gao, 2013 .

Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes

Yi Liu, Junghui Chen, Junghui Chen, 2013 .

Local flow boiling heat transfer characteristics in three-dimensional enhanced tubes

Junghui Chen, Wei Li, Junghui Chen, 2018, International Journal of Heat and Mass Transfer.

Modeling analysis of membrane reactor for biodiesel production

M. F. Chong, Junghui Chen, P. P. Oh, 2013 .

Optimal design of organic Rankine cycles for exhaust heat recovery from light-duty vehicles in view of various exhaust gas conditions and negative aspects of mobile vehicles

Junghui Chen, Lei Xie, Xialai Wu, 2020 .

Self-tuning variational mode decomposition

Junghui Chen, Lei Xie, Xun Lang, 2021, J. Frankl. Inst..

Product and process development using artificial neural‐network model and information analysis

Junghui Chen, David Shan-Hill Wong, Shi-Shang Jang, 1998 .

Multiloop PID controller design using partial least squares decoupling structure

Junghui Chen, Yuezhi Yea, Yi-Chun Cheng, 2005 .

Applying neural networks to on-line updated PID controllers for nonlinear process control

Junghui Chen, Tien-Chih Huang, Junghui Chen, 2004 .

Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control

Junghui Chen, Runze Lin, Xialai Wu, 2023, Applied Energy.

Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control

Junghui Chen, Runze Lin, Hongye Su, 2022, Neural Networks.

Accelerating Reinforcement Learning with Local Data Enhancement for Process Control

H. Su, Runze Lin, Lei Xie, 2021, 2021 China Automation Congress (CAC).

A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method

Junghui Chen, Kai Wang, Zhihuan Song, 2018, J. Frankl. Inst..

Iterative learning controller synthesis using FIR models for batch processes

Junghui Chen, Kuo-Tong Chou, Junghui Chen, 2009 .

Dual-layer feature extraction based soft sensor methods and applications to industrial polyethylene processes

Junghui Chen, Jie Hou, Jingxiang Liu, 2021, Comput. Chem. Eng..

PLS-based multi-loop robust H2 control for improvement of operating efficiency of waste heat energy conversion systems with organic Rankine cycle

Junghui Chen, Jianhua Zhang, Jinliang Xu, 2017 .

Tensor slow feature analysis and its applications for batch process monitoring

Jingxiang Liu, Guoqing Mu, Junghui Chen, 2023, Comput. Chem. Eng..

On-line batch process monitoring using dynamic PCA and dynamic PLS models

Junghui Chen, Kun-Chih Liu, Junghui Chen, 2002 .

A variable relevant multi-local PCA modeling scheme to monitor a nonlinear chemical process

Junghui Chen, Lin Xuan You, Junghui Chen, 2021 .

A Concise Subspace Projection Based Meta-learning Method for Fast Modeling and Monitoring in Multi-grade Semiconductor Process

Jingxiang Liu, Guoqing Mu, Chun-I. Chen, 2024, Computers & Industrial Engineering.

Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances

Junghui Chen, Zhihuan Song, Kai Wang, 2019, IEEE Transactions on Automation Science and Engineering.

Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes

Junghui Chen, Zhihuan Song, Kai Wang, 2019, IEEE Access.

Methodology of data reconciliation and parameter estimation for process systems with multi-operating conditions

Junghui Chen, Zhengjiang Zhang, Ying-Yu Chuang, 2014 .

Single Neuron Stochastic Predictive PID Control Algorithm for Nonlinear and Non-Gaussian Systems Using the Survival Information Potential Criterion

Junghui Chen, Xinying Xu, Lan Cheng, 2016, Entropy.

Minimum entropy-based performance assessment of feedback control loops subjected to non-Gaussian disturbances

Junghui Chen, Jianhua Zhang, Man Jiang, 2014 .

Neural PID Control Strategy for Networked Process Control

Jianhua Zhang, Junghui Chen, Jian-hang Zhang, 2013 .

Kinetic parameter estimation and simulation of trickle-bed reactor for hydrodesulfurization of whole fraction low-temperature coal tar

Lester Lik Teck Chan, Junghui Chen, Dong Li, 2018, Fuel.

Minimum entropy based run-to-run control for semiconductor processes with uncertain metrology delay

Junghui Chen, Jianhua Zhang, Jose Munoz, 2009 .

PLS based dEWMA run-to-run controller for MIMO non-squared semiconductor processes

Junghui Chen, Fan Wang, Junghui Chen, 2007 .

Development of Decay Based PLS Model and Its Economic Run-to-Run Control for Semiconductor Processes

Junghui Chen, Lei Xie, Pengcheng Lu, 2018, 2018 Annual American Control Conference (ACC).

Development of MBPLS based control for serial operation processes

Junghui Chen, Ren-Kai Tsai, Junghui Chen, 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

PLS data-driven based approach to design of a simulated moving bed process

Junghui Chen, Kai-Ting Hsieh, Lester Lik Teck Chan, 2009 .

Batch-to-batch iterative learning control and within-batch on-line control for end-point qualities using MPLS-based dEWMA

Junghui Chen, Kuen-Chi Lin, Junghui Chen, 2008 .

Status and strategy of fusion materials development in China

Qunying Huang, Jianfeng Yang, Xianglin Chen, 2009 .

Just-In-Time Modeling With Variable Shrinkage Based on Gaussian Processes for Semiconductor Manufacturing

Junghui Chen, Lei Xie, Xiaofei Wu, 2018, IEEE Transactions on Semiconductor Manufacturing.

Synthesizing data by transferring information in data‐intensive regions to enhance process monitoring performance in data‐scarce region

Qinghua Zhang, Zhihuan Song, Yuting Lyu, 2020, The Canadian Journal of Chemical Engineering.

A sparse loading-based contribution method for multivariate control performance diagnosis

Junghui Chen, Kai Wang, Zhihuan Song, 2020 .

Fault detection for NOx emission process in thermal power plants using SIP-PCA.

Xinying Xu, M. Ren, Lan Cheng, 2023, ISA transactions.

Two‐layer dynamic economic nonlinear model predictive control for a Lithium‐ion battery charge process with random disturbances

Junghui Chen, Mifeng Ren, Zhile Yang, 2024, The Canadian Journal of Chemical Engineering.

Monitoring Framework Based on Generalized Tensor PCA for Three-Dimensional Batch Process Data

Junghui Chen, Dan Wang, Jingxiang Liu, 2020 .

Sequential local-based Gaussian mixture model for monitoring multiphase batch processes

Junghui Chen, Jingxiang Liu, Junghui Chen, 2018 .

Self-active and recursively selective Gaussian process models for nonlinear distributed parameter systems

Junghui Chen, Pei Sun, Lei Xie, 2015 .

GA based decomposition of large scale distributed model predictive control systems

Junghui Chen, Lei Xie, Xing Cai, 2016 .

Soft sensors of nonlinear industrial processes based on self-learning kernel regression model

Junghui Chen, Chihang Wei, Zhihuan Song, 2017, 2017 11th Asian Control Conference (ASCC).

Wavelet-Based Hidden Markov Tree for Batch Process Monitoring

Junghui Chen, H.-H. Chen, W.-J. Chang, 2005 .

SYSTEMATIC DERIVATIONS OF MODEL PREDICTIVE CONTROL BASED ON ARTIFICIAL NEURAL NETWORK

Junghui Chen, Junghui Chen, 1998 .

Developing variable moving window PLS models: Using case of NOx emission prediction of coal-fired power plants

Junghui Chen, Y. Lee, Zhe Li, 2021, Fuel.

A review on conventional technologies and emerging process intensification (PI) methods for biodiesel production

Junghui Chen, Mei Fong Chong, Yuen May Choo, 2012 .

Particle filter combined with data reconciliation for nonlinear state estimation with unknown initial conditions in nonlinear dynamic process systems.

Luping Xu, Junghui Chen, Zhihui Hong, 2020, ISA transactions.

Correntropy based data reconciliation and gross error detection and identification for nonlinear dynamic processes

Junghui Chen, Zhengjiang Zhang, Junghui Chen, 2015, Comput. Chem. Eng..

Spatial variations of DCMD performance for desalination through countercurrent hollow fiber modules

Liping Cheng, Cho-Kai Kong, Ping-Chung Wu, 2008 .

Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN

Junghui Chen, Yi Liu, Yu Fan, 2017 .

Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring

Junghui Chen, Yalin Wang, Kai Wang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Modeling of a membrane reactor system for crude palm oil transesterification. Part II: Transport phenomena

M. F. Chong, Junghui Chen, Y. Choo, 2015 .

Modeling of a membrane reactor system for crude palm oil transesterification. Part I: Chemical and phase equilibrium

Junghui Chen, Y. Choo, P. P. Oh, 2015 .

Reducing Cost of Process Modeling through Multi-source Data Transfer Learning

Junghui Chen, Lester Lik Teck Chan, Junghui Chen, 2019, 2019 12th Asian Control Conference (ASCC).

Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling

Junghui Chen, Guoqing Mu, Junghui Chen, 2022, IEEE Transactions on Instrumentation and Measurement.

Simulation study of a hybrid absorber–heat exchanger using hollow fiber membrane module for the ammonia–water absorption cycle

Junghui Chen, Hsuan Chang, Siang-Ru Chen, 2006 .

Adaptive virtual sensors using SNPER for the localized construction and elastic net regularization in nonlinear processes

Junghui Chen, Chihang Wei, Zhihuan Song, 2019, Control Engineering Practice.

Enhanced air gap membrane desalination by novel finned tubular membrane modules

Junghui Chen, Yu-Hung Lin, Junghui Chen, 2011 .

Establishing Convolutional Neural Network Kalman Recurrent Variational Autoencoder Using Infrared Imaging for Process Monitoring: An Application in Spinning Disk Processes

Y. Lee, Junghui Chen, Yongci Zhang, 2022, IEEE Transactions on Instrumentation and Measurement.

Simultaneous data reconciliation and gross error detection for dynamic systems using particle filter and measurement test

Junghui Chen, Zhengjiang Zhang, Zhengjiang Zhang, 2014, Comput. Chem. Eng..

Optimal Design of Multistage Membrane Distillation Systems for Water Purification

Junghui Chen, Yanyue Lu, Junghui Chen, 2011 .

Data-Driven Operation Modeling and Optimal Design for Batch Cooling Crystallization with a Case Study on β-LGA

Junghui Chen, Tao Liu, Jingxiang Liu, 2022, Industrial & Engineering Chemistry Research.

Active learning assisted strategy of constructing hybrid models in repetitive operations of membrane filtration processes: Using case of mixture of bentonite clay and sodium alginate

Junghui Chen, Juin-Yih Lai, Yi Liu, 2016 .