Jie Zhang - RankMe

109 papers A 1B 1C 18Misc 8Journal 52Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpretable Yield Prediction of Supercritical CO J. Chem. Inf. Model. Mohamed Kouider Amar, Mohamed Hentabli, Nabil Touzout, Ilhem Bouaziz, Soufiane Rahal, Maamar Laidi, Abdeltif Amrane, Salah Hanini, Jie Zhang, Muhammad Farhan Saeed, Aftab Jamal
2025	J	`jnl`	Batch-to-Batch Optimization Control of Fed-Batch Fermentation Process Based on Recursively Updated Extreme Learning Machine Models. Algorithms Alex Moore, Jie Zhang
2025	J	`jnl`	Modelling the Degree of Cure in a Reactive Polymer Composite Moulding Process Through Hybrid Mechanistic Neural Network Models. SN Comput. Sci. Samuel Sells, Jie Zhang
2025	J	`jnl`	Multimode Monitoring Method Based on Adaptive Importance Coding Dictionary Learning. IEEE Trans. Reliab. Youqing Wang, Mingxing Zheng, Mingliang Cui, Tongze Hou, Jie Zhang, Xin Ma
2024	J	`jnl`	An adaptive operator selection cuckoo search for parameter extraction of photovoltaic models. Appl. Soft Comput. Qiangda Yang, Yubo Wang, Jie Zhang, Hongbo Gao
2024	—	`conf`	Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite. ICAART (2) Samuel Sells, Jie Zhang
2023	J	`jnl`	A Review on Data-Driven Condition Monitoring of Industrial Equipment. Algorithms Ruosen Qi, Jie Zhang, Katy Spencer
2023	J	`jnl`	A collaborative cuckoo search algorithm with modified operation mode. Eng. Appl. Artif. Intell. Qiangda Yang, Huan Huang, Jie Zhang, Hongbo Gao, Peng Liu
2023	J	`jnl`	Data driven recurrent generative adversarial network for generalized zero shot image classification. Inf. Sci. Jie Zhang, Shengbin Liao, Haofeng Zhang, Yang Long, Zheng Zhang, Li Liu
2023	J	`jnl`	Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft Sensors. Sensors Fahad Al Kalbani, Jie Zhang
2023	J	`jnl`	Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction. Appl. Soft Comput. Danny Hartanto Djarum, Zainal Ahmad, Jie Zhang
2023	J	`jnl`	The Effect of the Stationary Phase on Resolution in the HPLC-Based Separation of Racemic Mixtures Using Vancomycin as a Chiral Selector: A Case Study with Profen Nonsteroidal Anti-Inflammatory Drugs. Symmetry Dehbiya Gherdaoui, Madiha Melha Yahoum, Selma Toumi, Hichem Tahraoui, Fatma Bouazza, Sonia Lefnaoui, Abdelhamid Zeghdaoui, Abdeltif Amrane, Bassem Jaouadi, Jie Zhang
2022	J	`jnl`	A Novel Selective Ensemble Learning Method for Smartphone Sensor-Based Human Activity Recognition Based on Hybrid Diversity Enhancement and Improved Binary Glowworm Swarm Optimization. IEEE Access Yiming Tian, Jie Zhang, Qi Chen, Zuojun Liu
2022	J	`jnl`	Group Decision Making-Based Fusion for Human Activity Recognition in Body Sensor Networks. Sensors Yiming Tian, Jie Zhang, Qi Chen, Shuping Hou, Li Xiao
2021	—	`conf`	A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes. ICIT Shengkai Wang, Jie Zhang
2021	J	`jnl`	A Novel Sensor-Based Human Activity Recognition Method Based on Hybrid Feature Selection and Combinational Optimization. IEEE Access Yiming Tian, Jie Zhang, Lipeng Li, Zuojun Liu
2021	A	`conf`	Dual Prototype Relaxation for Generalized Zero Shot Learning. ICME Jie Zhang, Haofeng Zhang, Bingzhang Hu
2021	—	`conf`	Enhanced Data-Driven Fault Diagnosis of Chemical Process via Information Fusion in Multiple Neural Networks and Andrews Plot. ICAC Shengkai Wang, Jie Zhang
2021	J	`jnl`	Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search. Neural Comput. Appl. Qiangda Yang, Yichuan Fu, Jie Zhang
2020	—	`conf`	Adaptive Modelling of Fed-batch Processes with Extreme Learning Machine and Recursive Least Square Technique. ICAART (2) Kazeem Alli, Jie Zhang
2020	J	`jnl`	Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization. Sensors Xinxin Li, Zuojun Liu, Xinzhi Gao, Jie Zhang
2020	C	`conf`	Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning machine. INDIN Ruosen Qi, Jie Zhang
2020	J	`jnl`	Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks. Int. J. Autom. Comput. Changhao Zhu, Jie Zhang
2020	C	`conf`	Improved Process Fault Diagnosis by Using Neural Networks with Andrews Plot and Autoencoder. INDIN Shengkai Wang, Jie Zhang
2020	J	`jnl`	Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance. Comput. Chem. Eng. Jeremiah Corrigan, Jie Zhang
2020	J	`jnl`	Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques. Sensors Fanglin Mu, Yu Gu, Jie Zhang, Lei Zhang
2020	J	`jnl`	Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy. Comput. Chem. Eng. Kai Liu, Jie Zhang
2019	—	`conf`	An Intelligent Process Fault Diagnosis System Integrating Andrews Plot, PCA and Neural Networks. ICAC Shengkai Wang, Jie Zhang
2019	Misc	`conf`	An improved reinforcement learning control strategy for batch processes. MMAR Peng Zhang, Jie Zhang, Yang Long, Bingzhang Hu
2019	—	`conf`	Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks. ICAC Changhao Zhu, Jie Zhang
2019	Misc	`conf`	Enhanced Process Fault Diagnosis through Integrating Neural Networks and Andrews Plot. MMAR Shengkai Wang, Jie Zhang
2019	—	`conf`	Nonlinear Data-driven Process Modelling using Slow Feature Analysis and Neural Networks. ICINCO (1) Jeremiah Corrigan, Jie Zhang
2019	—	`conf`	Optimization control of a fed-batch process using an improved reinforcement learning algorithm. CCTA Peng Zhang, Jie Zhang, Bingzhang Hu, Yang Long
2019	J	`jnl`	Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search. Appl. Soft Comput. Qiangda Yang, Jie Zhang, Zhi Yi
2019	Misc	`conf`	Process Fault Detection and Reconstruction by Principal Component Analysis. MMAR Ruosen Qi, Jie Zhang
2019	J	`jnl`	Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition. Sensors Yiming Tian, Jie Zhang, Lingling Chen, Yanli Geng, Xitai Wang
2019	J	`jnl`	Single Wearable Accelerometer-Based Human Activity Recognition via Kernel Discriminant Analysis and QPSO-KELM Classifier. IEEE Access Yiming Tian, Jie Zhang, Lingling Chen, Yanli Geng, Xitai Wang
2018	—	`conf`	A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection. ICAC Yiming Tian, Xitai Wang, Peng Yang, Jie Wang, Jie Zhang
2018	—	`conf`	Inferential Estimation of Polymer Melt Index Using Deep Belief Networks. ICAC Changhao Zhu, Jie Zhang
2018	—	`conf`	Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy. ICAC Kai Liu, Jie Zhang
2018	—	`conf`	Point-to-Point Iterative Learning Control with Piecewise Constant Inputs. ICAC Xiangfeng Shen, Zhihua Xiong, Jie Zhang
2017	J	`jnl`	Actuator fault monitoring and fault tolerant control in distillation columns. Int. J. Autom. Comput. Sulaiman Ayobami Lawal, Jie Zhang
2017	—	`conf`	Re-optimisation Control of a Fed-batch Fermentation Process using Bootstrap Aggregated Extreme Learning Machine. ICINCO (1) Carolina Maria Cardona Baron, Jie Zhang
2017	—	`conf`	Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine. ICINCO (Selected Papers) Carolina Maria Cardona Baron, Jie Zhang
2017	J	`jnl`	Thermodynamic optimization of atmospheric distillation unit. Comput. Chem. Eng. Funmilayo N. Osuolale, Jie Zhang
2016	Misc	`conf`	Active disturbance rejection control of a heat integrated distillation column. MMAR Fahad Al Kalbani, Jie Zhang, Thomas Bisgaard, Jakob Kjøbsted Huusom
2016	C	`conf`	Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory. ACC Zhihua Xiong, Yingdong Hong, Chen Chen, Jie Zhang, Maiying Zhong
2016	Misc	`conf`	Fault monitoring and fault tolerant control in distillation columns. MMAR Sulaiman Ayobami Lawal, Jie Zhang
2016	C	`conf`	Inferential active disturbance rejection control of a heat integrated distillation column. ICARCV Fahad Khamis Al Kalbani, Jie Zhang
2016	C	`conf`	Inferential disturbance observer based control of a binary distillation column. IECON Simon William Jeffries, Shamsa Al-Abri, Jie Zhang
2016	Misc	`conf`	Modelling of a post-combustion CO2 capture process using extreme learning machine. MMAR Fei Li, Jie Zhang, Eni Oko, Meihong Wang
2015	—	`conf`	Actuator fault monitoring and fault tolerant control in distillation columns. ICAC Sulaiman Ayobami Lawal, Jie Zhang
2015	J	`jnl`	Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey. Expert Syst. Appl. Jarinah Mohd Ali, Mohamed Azlan Hussain, Moses O. Tadé, Jie Zhang
2015	—	`conf`	Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models. ICINCO (1) Fahad Al Kalbani, Jie Zhang
2015	Misc	`conf`	Iterative learning control of polyhydroxybutyrate production in a sequencing batch reactor. MMAR Seyong Jung, Jie Zhang, Rui Oliveira
2013	Misc	`conf`	Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks. ICNC Damson Leonard Kaunga, Jie Zhang, Katy Ferguson, Carl Steele
2013	J	`jnl`	Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks. Neural Comput. Appl. Kazim-Junior Rod Mohammed, Jie Zhang
2012	J	`jnl`	Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach. Comput. Chem. Eng. Shallon Stubbs, Jie Zhang, Julian Morris
2012	—	`ch.`	Nonlinear Process Modelling and Control Using Neurofuzzy Networks. Handbook of Natural Computing Jie Zhang
2011	—	`conf`	Modelling Vitrified Glass Viscosity in a Nuclear Fuel Reprocessing Plant using Neural Networks. IJCCI (NCTA) Katy Ferguson, Jie Zhang, Carl Steele, Colin Clarke, Julian Morris
2011	—	`conf`	Reliable Modelling and Optimisation Control of Reactive Polymer Composite Moulding Processes using Bootstrap Aggregated Neural Network Models. IJCCI (NCTA) Jie Zhang, Nikos G. Pantelelis
2010	J	`jnl`	Neural network based iterative learning control for product qualities in batch processes. Int. J. Model. Identif. Control. Zhihua Xiong, Yixin Xu, Jin Dong, Jie Zhang
2010	J	`jnl`	On-line multivariate statistical monitoring of batch processes using Gaussian mixture model. Comput. Chem. Eng. Tao Chen, Jie Zhang
2009	J	`jnl`	Control structure selection for the ALSTOM gasifier benchmark process using GRDG analysis. Int. J. Model. Identif. Control. Rudy Agustriyanto, Jie Zhang
2009	J	`jnl`	Optimal control of batch processes using particle swam optimisation with stacked neural network models. Comput. Chem. Eng. Fernando Herrera, Jie Zhang
2009	J	`jnl`	Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model. Sci. China Ser. F Inf. Sci. Zhihua Xiong, Jin Dong, Jie Zhang
2009	J	`jnl`	Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination. Neurocomputing Zainal Ahmad, Jie Zhang
2008	C	`conf`	Batch to batch iterative learning control of a fed-batch fermentation process using linearised models. ICARCV Jie Zhang, Jerome Nguyan, Julian Morris, Zhihua Xiong
2008	J	`jnl`	Batch-to-batch control of fed-batch processes using control-affine feedforward neural network. Neural Comput. Appl. Zhihua Xiong, Yixin Xu, Jie Zhang, Jin Dong
2008	C	`conf`	Iterative learning control with reference batch for linear time-variant systems. ICARCV Hui Geng, Zhihua Xiong, Yongmao Xu, Jie Zhang
2007	C	`conf`	Improved Bleach Plant Control Using Internal Model Control with Smith Predictor. CCA Fernando S. Antelo, Jie Zhang
2007	C	`conf`	Obtaining the Worst Case RGA and RDGA for Uncertain Systems via Optimization. ACC Rudy Agustriyanto, Jie Zhang
2006	—	`conf`	A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models. ISNN (2) Zainal Ahmad, Jie Zhang
2006	—	`conf`	Hierarchical Neural Network Based Product Quality Prediction of Industrial Ethylene Pyrolysis Process. ISNN (2) Qiang Zhou, Zhihua Xiong, Jie Zhang, Yongmao Xu
2006	J	`jnl`	Improved on-line process fault diagnosis through information fusion in multiple neural networks. Comput. Chem. Eng. Jie Zhang
2006	J	`jnl`	Modelling and multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks. Int. J. Autom. Comput. Jie Zhang
2005	C	`conf`	An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes. ACC Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu
2005	—	`conf`	Batch-to-Batch Optimal Control Based on Support Vector Regression Model. ISNN (3) Yi Liu, Xianhui Yang, Zhihua Xiong, Jie Zhang
2005	J	`jnl`	Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling. Neural Comput. Appl. Zainal Ahmad, Jie Zhang
2005	J	`jnl`	Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling. Comput. Chem. Eng. Zainal Ahmad, Jie Zhang
2005	J	`jnl`	Modeling and Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy Networks. IEEE Trans. Fuzzy Syst. Jie Zhang
2005	—	`conf`	Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes. ISNN (3) Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu
2005	J	`jnl`	Optimal Control of Fed-Batch Processes Based on Multiple Neural Networks. Appl. Intell. Zhihua Xiong, Jie Zhang
2004	—	`conf`	A Neural Network Modeling Method for Batch Process. ISNN (2) Yi Liu, Xianhui Yang, Jie Zhang
2004	—	`conf`	A Novel Nonlinear Projection to Latent Structures Algorithm. ISNN (2) Shi Jian Zhao, Yongmao Xu, Jie Zhang
2004	J	`jnl`	Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network. Neurocomputing Zhihua Xiong, Jie Zhang
2004	C	`conf`	Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace. ICARCV Qiang Zhou, Jie Zhang, Yongmao Xu
2004	—	`conf`	Recurrent neural network model based batch-to-batch iterative optimising control. Neural Networks and Computational Intelligence Zhihua Xiong, Jie Zhang
2004	—	`conf`	Run-to-Run Iterative Optimization Control of Batch Processes. ISNN (2) Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu
2003	C	`conf`	Batch-to-batch model-based iterative optimisation control for a batch polymerisation reactor. ACC Zhihua Xiong, Jie Zhang
2003	B	`conf`	Improving data based nonlinear process modelling through Bayesian combination of multiple neural networks. IJCNN Zainal Ahmad, Jie Zhang
2002	C	`conf`	Dynamic modelling of an industrial polypropylene reactor and its application in melt index prediction during grade transitions. ACC Jianli Wei, Shunjie Fan, Yongmao Xu, Jie Zhang
2002	C	`conf`	Modeling and optimal control of fed-batch processes using control affine feedforward neural networks. ACC Zhihua Xiong, Jie Zhang
2002	J	`jnl`	Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model. Neurocomputing Yuan Tian, Jie Zhang, Julian Morris
2002	C	`conf`	Optimal energy cost in ideal internal thermally coupled distillation columns. ACC Xinggao Liu, Yongmao Xu, Jie Zhang, Jixin Qian
2001	—	`conf`	Actuator fault diagnosis in a continuous stirred tank reactor using identification techniques. ECC Ron J. Patton, C. J. Lopez-Toribio, Silvio Simani, Julian Morris, Elaine B. Martin, Jie Zhang
2001	C	`conf`	Inferential feedforward control of a distillation column. ACC Jie Zhang, Rudy Agustriyanto
2001	C	`conf`	Nonlinear model predictive control based on multiple local linear models. ACC Jie Zhang, Julian Morris
2001	C	`conf`	On-line re-optimisation control of a batch polymerisation reactor based on a hybrid recurrent neural network model. ACC Yuan Tian, Jie Zhang, Julian Morris
2000	J	`jnl`	Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Network Models. Neural Comput. Appl. Jie Zhang, A. Julian Morris
1999	J	`jnl`	Developing robust non-linear models through bootstrap aggregated neural networks. Neurocomputing Jie Zhang
1999	J	`jnl`	Inferential estimation of polymer quality using bootstrap aggregated neural networks. Neural Networks Jie Zhang
1999	J	`jnl`	Recurrent neuro-fuzzy networks for nonlinear process modeling. IEEE Trans. Neural Networks Jie Zhang, A. Julian Morris
1998	J	`jnl`	A Sequential Learning Approach for Single Hidden Layer Neural Networks. Neural Networks Jie Zhang, A. Julian Morris
1996	J	`jnl`	Process modelling and fault diagnosis using fuzzy neural networks. Fuzzy Sets Syst. Jie Zhang, Julian Morris
1994	—	`conf`	Fault Diagnosis of a CSTR using fuzzy Neural Networks. AIRTC Jie Zhang, A. Julian Morris, Gary A. Montague
1992	J	`jnl`	Use of genetic algorithms in training diagnostic rules for process fault diagnosis. Knowl. Based Syst. Jie Zhang, Peter D. Roberts
1990	J	`jnl`	Fault diagnosis of a mixing process using deep qualitative knowledge representation of physical behaviour. J. Intell. Robotic Syst. Jie Zhang, Peter D. Roberts, J. E. Ellis
1988	J	`jnl`	An application of expert systems techniques to the on-line control and fault diagnosis of a mixing process. J. Intell. Robotic Syst. Jie Zhang, Peter D. Roberts, J. E. Ellis