Zhizhong Mao

According to our database, Zhizhong Mao authored at least 55 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generalized Dynamic Feature Extraction Method for Rotary Kiln Sintering Condition Recognition.

Wenyu Hu, Zhizhong Mao, Youping Fan

IEEE Trans. Ind. Informatics, September, 2024

A real-valued label noise cleaning method based on ensemble iterative filtering with noise score.

Chuang Li, Zhizhong Mao, Mingxing Jia

Int. J. Mach. Learn. Cybern., September, 2024

Robust Gaussian process regression based on bias trimming.

Jingkai Chi, Zhizhong Mao, Mingxing Jia

Knowl. Based Syst., 2024

Deep domain-adversarial anomaly detection with robust one-class transfer learning.

Jingkai Chi, Zhizhong Mao

Knowl. Based Syst., 2024

Prediction of rainy-day photovoltaic power generation based on Generative Adversarial Networks and enhanced Sparrow Search Algorithm.

Wencheng Liu, Zhizhong Mao

Comput. Electr. Eng., 2024

Time-slice dynamic prediction and multiway serial PCA for batch industrial process monitoring.

Hanqi Li, Mingxing Jia, Zhizhong Mao

Comput. Chem. Eng., 2024

2023

Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and Diagnosis.

Hanqi Li, Mingxing Jia, Zhizhong Mao

Entropy, December, 2023

A label noise filtering method for regression based on adaptive threshold and noise score.

Chuang Li, Zhizhong Mao

Expert Syst. Appl., October, 2023

Selective Feature Bagging of one-class classifiers for novelty detection in high-dimensional data.

Biao Wang, Wenjing Wang, Guanglei Meng, Tiankuo Meng, Bin Song, Yingnan Wang, Yuming Guo, Zhihua Qiao, Zhizhong Mao

Eng. Appl. Artif. Intell., April, 2023

Forecasting for Chaotic Time Series Based on GRP-lstmGAN Model: Application to Temperature Series of Rotary Kiln.

Wenyu Hu, Zhizhong Mao

Entropy, January, 2023

Rapid Detection of Iron Ore Grades Based on Fractional-Order Derivative Spectroscopy and Machine Learning.

Hongfei Xie, Dong Xiao, Zhizhong Mao

IEEE Trans. Instrum. Meas., 2023

2022

Generative adversarial network-based real-time temperature prediction model for heating stage of electric arc furnace.

Chuang Li, Zhizhong Mao

Trans. Inst. Meas. Control, 2022

A robust novelty detection framework based on ensemble learning.

Biao Wang, Wenjing Wang, Na Wang, Zhizhong Mao

Int. J. Mach. Learn. Cybern., 2022

Dynamic selective Gaussian process regression for forecasting temperature of molten steel in ladle furnace.

Biao Wang, Wenjing Wang, Zhihua Qiao, Guanglei Meng, Zhizhong Mao

Eng. Appl. Artif. Intell., 2022

Boosting the prediction of molten steel temperature in ladle furnace with a dynamic outlier ensemble.

Biao Wang, Wenjing Wang, Guanglei Meng, Zhihua Qiao, Yuming Guo, Na Wang, Wei Wang, Zhizhong Mao

Eng. Appl. Artif. Intell., 2022

A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis.

Shulei Zhang, Runda Jia, Dakuo He, Fei Chu, Zhizhong Mao

Comput. Chem. Eng., 2022

2021

Using multiple classifier behavior to develop a dynamic outlier ensemble.

Ping Yuan, Biao Wang, Zhizhong Mao

Int. J. Mach. Learn. Cybern., 2021

Stability analysis of delayed food chain systems with heterogeneous free parameters.

Jun-Xiu Chen, Xu-Guang Li, Zhi-Zhong Mao

J. Frankl. Inst., 2021

Some new algebraic and geometric analysis for local stability crossing curves.

Lu Zhang, Xu-Guang Li, Zhi-Zhong Mao, Jun-Xiu Chen, Gao-Xia Fan

Autom., 2021

2020

A pruned support vector data description-based outlier detection method: Applied to robust process monitoring.

Ping Yuan, Zhizhong Mao, Biao Wang

Trans. Inst. Meas. Control, 2020

Detecting outliers in industrial systems using a hybrid ensemble scheme.

Biao Wang, Zhizhong Mao

Neural Comput. Appl., 2020

A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule.

Biao Wang, Zhizhong Mao

Inf. Fusion, 2020

Identification of Time-Varying Hammerstein-Wiener Systems.

Feng Yu, Zhizhong Mao, Dakuo He

IEEE Access, 2020

2019

Outlier detection based on a dynamic ensemble model: Applied to process monitoring.

Biao Wang, Zhizhong Mao

Inf. Fusion, 2019

Recursive identification for multi-input-multi-output Hammerstein-Wiener system.

Jing Bai, Zhizhong Mao, Tiecheng Pu

Int. J. Control, 2019

Outlier detection based on Gaussian process with application to industrial processes.

Biao Wang, Zhizhong Mao

Appl. Soft Comput., 2019

Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes.

Xiaolong Chen, Zhizhong Mao, Runda Jia, Shuning Zhang

Appl. Soft Comput., 2019

2018

One-class classifiers ensemble based anomaly detection scheme for process control systems.

Biao Wang, Zhizhong Mao

Trans. Inst. Meas. Control, 2018

2017

Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems.

Bi Zhang, Zhizhong Mao

J. Frankl. Inst., 2017

A Nonlinear Block-Oriented Model for Wind Tunnel System.

Ting-Feng Zhang, Zhi-Zhong Mao, Ping Yuan

Inf. Technol. Control., 2017

2016

The modified feature subsets ensemble applied for the mach number prediction in wind tunnel.

Xiaojun Wang, Ping Yuan, Zhizhong Mao

IEEE Trans. Aerosp. Electron. Syst., 2016

Modeling and Optimization of the Drug Extraction Production Process.

Dakuo He, Zhengsong Wang, Le Yang, Tongshan Liu, Yao Yao, Zhizhong Mao

Sci. Program., 2016

Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees.

Xiaojun Wang, Ping Yuan, Zhizhong Mao, Mingshuang You

Knowl. Based Syst., 2016

A modified robust self-tuning controller for Hammerstein nonlinear systems with asymmetric deadzone input nonlinearity.

Bi Zhang, Zhizhong Mao

J. Syst. Control. Eng., 2016

Adaptive control of stochastic Hammerstein-Wiener nonlinear systems with measurement noise.

Bi Zhang, Zhizhong Mao

Int. J. Syst. Sci., 2016

Adaptive control of Hammerstein-Wiener nonlinear systems.

Bi Zhang, Hyokchan Hong, Zhizhong Mao

Int. J. Syst. Sci., 2016

Optimization Control of the Color-Coating Production Process for Model Uncertainty.

Dakuo He, Zhengsong Wang, Le Yang, Zhizhong Mao

Comput. Intell. Neurosci., 2016

Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace.

Xiaojun Wang, Mingshuang You, Zhizhong Mao, Ping Yuan

Adv. Eng. Informatics, 2016

2015

Ensemble fixed-size LS-SVMs applied for the Mach number prediction in transonic wind tunnel.

Xiaojun Wang, Ping Yuan, Zhizhong Mao

IEEE Trans. Aerosp. Electron. Syst., 2015

2014

Recursive parameter identification of Hammerstein-Wiener systems with measurement noise.

Feng Yu, Zhizhong Mao, Mingxing Jia, Ping Yuan

Signal Process., 2014

Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge.

Wu Lv, Zhi Xie, Zhizhong Mao, Ping Yuan, Mingxing Jia

Neural Comput. Appl., 2014

2013

Corrigendum to "Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace" [Knowl.-Based Syst. 36 (2012) 280-287].

Wu Lv, Zhizhong Mao, Ping Yuan, Mingxing Jia

Knowl. Based Syst., 2013

Modeling and control for the tube blank heating quality of seamless tube.

Dong Xiao, Shaohua Shi, Zhizhong Mao, Jichun Wang

Proceedings of the 9th Asian Control Conference, 2013

Modeling of guide disk speed of rotary piercer based on PCA-ELM.

Dong Xiao, Shaohua Shi, Zhizhong Mao, Jichun Wang

Proceedings of the 9th Asian Control Conference, 2013

2012

Comments on "Decentralized Stabilization of Interconnected Systems With Time-Varying Delays".

Xiao-Shi Xiao, Zhi-Zhong Mao, Jinliang Liu, Dong Yue, Songlin Hu, Zhou Gu

IEEE Trans. Autom. Control., 2012

Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace.

Wu Lv, Zhizhong Mao, Ping Yuan, Mingxing Jia

Knowl. Based Syst., 2012

A direct adaptive controller for EAF electrode regulator system using neural networks.

Lei Li, Zhizhong Mao

Neurocomputing, 2012

MPCA based phase identification method and its application to process monitoring.

Yuqing Chang, Shu Wang, Shuai Tan, Fuli Wang, Zhizhong Mao

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Decentralized guaranteed cost stabilization of time-delay large-scale systems based on reduced-order observers.

Xiao-Shi Xiao, Zhi-Zhong Mao

J. Frankl. Inst., 2011

Decentralized adaptive tracking control of nonaffine nonlinear large-scale systems with time delays.

Zhi-Zhong Mao, Xiao-Shi Xiao

Inf. Sci., 2011

Hybrid modeling for the prediction of leaching rate in leaching process based on negative correlation learning bagging ensemble algorithm.

Guanghao Hu, Zhizhong Mao, Dakuo He, Fei Yang

Comput. Chem. Eng., 2011

2010

An Ensemble ELM Based on Modified AdaBoost.RT Algorithm for Predicting the Temperature of Molten Steel in Ladle Furnace.

Hui-Xin Tian, Zhi-Zhong Mao

IEEE Trans Autom. Sci. Eng., 2010

2009

A new soft sensor modeling method based on modified AdaBoost with incremental learning.

Huixin Tian, Anna Wang, Zhizhong Mao

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Investigation of nonlinear orthogonal signal correction algorithm and its effects on multivariate calibration.

Chunhui Zhao, Fuli Wang, Zhizhong Mao, Jianchang Liu

Proceedings of the 10th International Conference on Control, 2008

2007

Feed-forward and inferential control and its application.

Xiao-li Pan, Dong Xiao, Yong Yuan, Zhizhong Mao, Fuli Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007