Zhizhong Mao

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 33

Top Topics

Outlier Detection

Industrial Process

Nonlinear Systems

Top Venues

Knowl. Based Syst.

Trans. Inst. Meas. Control

Eng. Appl. Artif. Intell.

Int. J. Mach. Learn. Cybern.

Publications

Jingkai Chi, Zhizhong Mao
Deep domain-adversarial anomaly detection with robust one-class transfer learning. Knowl. Based Syst. 300 (2024)
Jingkai Chi, Zhizhong Mao, Mingxing Jia
Robust Gaussian process regression based on bias trimming. Knowl. Based Syst. 291 (2024)
Wencheng Liu, Zhizhong Mao
Prediction of rainy-day photovoltaic power generation based on Generative Adversarial Networks and enhanced Sparrow Search Algorithm. Comput. Electr. Eng. 119 (2024)
Hanqi Li, Mingxing Jia, Zhizhong Mao
Time-slice dynamic prediction and multiway serial PCA for batch industrial process monitoring. Comput. Chem. Eng. 182 (2024)
Hongfei Xie, Dong Xiao, Zhizhong Mao
Rapid Detection of Iron Ore Grades Based on Fractional-Order Derivative Spectroscopy and Machine Learning. IEEE Trans. Instrum. Meas. 72 (2023)
Chuang Li, Zhizhong Mao
A label noise filtering method for regression based on adaptive threshold and noise score. Expert Syst. Appl. 228 (2023)
Hanqi Li, Mingxing Jia, Zhizhong Mao
Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and Diagnosis. Entropy 25 (12) (2023)
Wenyu Hu, Zhizhong Mao
Forecasting for Chaotic Time Series Based on GRP-lstmGAN Model: Application to Temperature Series of Rotary Kiln. Entropy 25 (1) (2023)
Biao Wang, Wenjing Wang, Guanglei Meng, Tiankuo Meng, Bin Song, Yingnan Wang, Yuming Guo, Zhihua Qiao, Zhizhong Mao
Selective Feature Bagging of one-class classifiers for novelty detection in high-dimensional data. Eng. Appl. Artif. Intell. 120 (2023)
Biao Wang, Wenjing Wang, Guanglei Meng, Zhihua Qiao, Yuming Guo, Na Wang, Wei Wang, Zhizhong Mao
Boosting the prediction of molten steel temperature in ladle furnace with a dynamic outlier ensemble. Eng. Appl. Artif. Intell. 116 (2022)
Shulei Zhang, Runda Jia, Dakuo He, Fei Chu, Zhizhong Mao
A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis. Comput. Chem. Eng. 160 (2022)
Biao Wang, Wenjing Wang, Na Wang, Zhizhong Mao
A robust novelty detection framework based on ensemble learning. Int. J. Mach. Learn. Cybern. 13 (10) (2022)
Chuang Li, Zhizhong Mao
Generative adversarial network-based real-time temperature prediction model for heating stage of electric arc furnace. Trans. Inst. Meas. Control 44 (8) (2022)
Biao Wang, Wenjing Wang, Zhihua Qiao, Guanglei Meng, Zhizhong Mao
Dynamic selective Gaussian process regression for forecasting temperature of molten steel in ladle furnace. Eng. Appl. Artif. Intell. 112 (2022)
Ping Yuan, Biao Wang, Zhizhong Mao
Using multiple classifier behavior to develop a dynamic outlier ensemble. Int. J. Mach. Learn. Cybern. 12 (2) (2021)
Biao Wang, Zhizhong Mao
A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule. Inf. Fusion 63 (2020)
Biao Wang, Zhizhong Mao
Detecting outliers in industrial systems using a hybrid ensemble scheme. Neural Comput. Appl. 32 (12) (2020)
Feng Yu, Zhizhong Mao, Dakuo He
Identification of Time-Varying Hammerstein-Wiener Systems. IEEE Access 8 (2020)
Ping Yuan, Zhizhong Mao, Biao Wang
A pruned support vector data description-based outlier detection method: Applied to robust process monitoring. Trans. Inst. Meas. Control 42 (11) (2020)
Biao Wang, Zhizhong Mao
Outlier detection based on Gaussian process with application to industrial processes. Appl. Soft Comput. 76 (2019)
Xiaolong Chen, Zhizhong Mao, Runda Jia, Shuning Zhang
Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes. Appl. Soft Comput. 85 (2019)
Biao Wang, Zhizhong Mao
Outlier detection based on a dynamic ensemble model: Applied to process monitoring. Inf. Fusion 51 (2019)
Jing Bai, Zhizhong Mao, Tiecheng Pu
Recursive identification for multi-input-multi-output Hammerstein-Wiener system. Int. J. Control 92 (6) (2019)
Biao Wang, Zhizhong Mao
One-class classifiers ensemble based anomaly detection scheme for process control systems. Trans. Inst. Meas. Control 40 (12) (2018)
Bi Zhang, Zhizhong Mao
Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems. J. Frankl. Inst. 354 (3) (2017)
Bi Zhang, Zhizhong Mao
Adaptive control of stochastic Hammerstein-Wiener nonlinear systems with measurement noise. Int. J. Syst. Sci. 47 (1) (2016)
Xiaojun Wang, Ping Yuan, Zhizhong Mao, Mingshuang You
Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees. Knowl. Based Syst. 101 (2016)
Dakuo He, Zhengsong Wang, Le Yang, Zhizhong Mao
Optimization Control of the Color-Coating Production Process for Model Uncertainty. Comput. Intell. Neurosci. 2016 (2016)
Xiaojun Wang, Mingshuang You, Zhizhong Mao, Ping Yuan
Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace. Adv. Eng. Informatics 30 (3) (2016)
Xiaojun Wang, Ping Yuan, Zhizhong Mao
The modified feature subsets ensemble applied for the mach number prediction in wind tunnel. IEEE Trans. Aerosp. Electron. Syst. 52 (2) (2016)
Bi Zhang, Hyokchan Hong, Zhizhong Mao
Adaptive control of Hammerstein-Wiener nonlinear systems. Int. J. Syst. Sci. 47 (9) (2016)
Dakuo He, Zhengsong Wang, Le Yang, Tongshan Liu, Yao Yao, Zhizhong Mao
Modeling and Optimization of the Drug Extraction Production Process. Sci. Program. 2016 (2016)
Bi Zhang, Zhizhong Mao
A modified robust self-tuning controller for Hammerstein nonlinear systems with asymmetric deadzone input nonlinearity. J. Syst. Control. Eng. 230 (5) (2016)
Xiaojun Wang, Ping Yuan, Zhizhong Mao
Ensemble fixed-size LS-SVMs applied for the Mach number prediction in transonic wind tunnel. IEEE Trans. Aerosp. Electron. Syst. 51 (4) (2015)
Wu Lv, Zhi Xie, Zhizhong Mao, Ping Yuan, Mingxing Jia
Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge. Neural Comput. Appl. 25 (5) (2014)
Feng Yu, Zhizhong Mao, Mingxing Jia, Ping Yuan
Recursive parameter identification of Hammerstein-Wiener systems with measurement noise. Signal Process. 105 (2014)
Dong Xiao, Shaohua Shi, Zhizhong Mao, Jichun Wang
Modeling of guide disk speed of rotary piercer based on PCA-ELM. ASCC (2013)
Dong Xiao, Shaohua Shi, Zhizhong Mao, Jichun Wang
Modeling and control for the tube blank heating quality of seamless tube. ASCC (2013)
Wu Lv, Zhizhong Mao, Ping Yuan, Mingxing Jia
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]. Knowl. Based Syst. 44 (2013)
Wu Lv, Zhizhong Mao, Ping Yuan, Mingxing Jia
Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace. Knowl. Based Syst. 36 (2012)
Yuqing Chang, Shu Wang, Shuai Tan, Fuli Wang, Zhizhong Mao
MPCA based phase identification method and its application to process monitoring. CDC (2012)
Lei Li, Zhizhong Mao
A direct adaptive controller for EAF electrode regulator system using neural networks. Neurocomputing 82 (2012)
Guanghao Hu, Zhizhong Mao, Dakuo He, Fei Yang
Hybrid modeling for the prediction of leaching rate in leaching process based on negative correlation learning bagging ensemble algorithm. Comput. Chem. Eng. 35 (12) (2011)
Huixin Tian, Anna Wang, Zhizhong Mao
A new soft sensor modeling method based on modified AdaBoost with incremental learning. CDC (2009)
Chunhui Zhao, Fuli Wang, Zhizhong Mao, Jianchang Liu
Investigation of nonlinear orthogonal signal correction algorithm and its effects on multivariate calibration. ICARCV (2008)
Xiao-li Pan, Dong Xiao, Yong Yuan, Zhizhong Mao, Fuli Wang
Feed-forward and inferential control and its application. ROBIO (2007)