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Zhizhong Mao
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2020 – today
- 2024
- [j49]Hanqi Li, Mingxing Jia, Zhizhong Mao
:
Time-slice dynamic prediction and multiway serial PCA for batch industrial process monitoring. Comput. Chem. Eng. 182: 108580 (2024) - [j48]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: 109529 (2024) - [j47]Jingkai Chi, Zhizhong Mao
Robust Gaussian process regression based on bias trimming. Knowl. Based Syst. 291: 111605 (2024) - [j46]Jingkai Chi, Zhizhong Mao
Deep domain-adversarial anomaly detection with robust one-class transfer learning. Knowl. Based Syst. 300: 112225 (2024) - [j45]Chuang Li, Zhizhong Mao
A real-valued label noise cleaning method based on ensemble iterative filtering with noise score. Int. J. Mach. Learn. Cybern. 15(9): 4093-4118 (2024) - [j44]Wenyu Hu
Generalized Dynamic Feature Extraction Method for Rotary Kiln Sintering Condition Recognition. IEEE Trans. Ind. Informatics 20(9): 11362-11371 (2024) - 2023
- [j43]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: 105825 (2023) - [j42]Wenyu Hu, Zhizhong Mao
Forecasting for Chaotic Time Series Based on GRP-lstmGAN Model: Application to Temperature Series of Rotary Kiln. Entropy 25(1): 52 (2023) - [j41]Hanqi Li, Mingxing Jia, Zhizhong Mao
Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and Diagnosis. Entropy 25(12): 1664 (2023) - [j40]Chuang Li
A label noise filtering method for regression based on adaptive threshold and noise score. Expert Syst. Appl. 228: 120422 (2023) - [j39]Hongfei Xie
Rapid Detection of Iron Ore Grades Based on Fractional-Order Derivative Spectroscopy and Machine Learning. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j38]Shulei Zhang
A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis. Comput. Chem. Eng. 160: 107707 (2022) - [j37]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: 104892 (2022) - [j36]Biao Wang, Wenjing Wang, Guanglei Meng, Zhihua Qiao, Yuming Guo
Boosting the prediction of molten steel temperature in ladle furnace with a dynamic outlier ensemble. Eng. Appl. Artif. Intell. 116: 105359 (2022) - [j35]Biao Wang, Wenjing Wang, Na Wang, Zhizhong Mao:
A robust novelty detection framework based on ensemble learning. Int. J. Mach. Learn. Cybern. 13(10): 2891-2908 (2022) - [j34]Chuang Li
Generative adversarial network-based real-time temperature prediction model for heating stage of electric arc furnace. Trans. Inst. Meas. Control 44(8): 1669-1684 (2022) - 2021
- [j33]Lu Zhang, Xu-Guang Li, Zhi-Zhong Mao, Jun-Xiu Chen, Gao-Xia Fan:
Some new algebraic and geometric analysis for local stability crossing curves. Autom. 123: 109312 (2021) - [j32]Jun-Xiu Chen, Xu-Guang Li, Zhi-Zhong Mao:
Stability analysis of delayed food chain systems with heterogeneous free parameters. J. Frankl. Inst. 358(9): 4883-4894 (2021) - [j31]Ping Yuan, Biao Wang, Zhizhong Mao:
Using multiple classifier behavior to develop a dynamic outlier ensemble. Int. J. Mach. Learn. Cybern. 12(2): 501-513 (2021) - 2020
- [j30]Feng Yu
Identification of Time-Varying Hammerstein-Wiener Systems. IEEE Access 8: 136906-136916 (2020) - [j29]Biao Wang, Zhizhong Mao
A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule. Inf. Fusion 63: 30-40 (2020) - [j28]Biao Wang, Zhizhong Mao:
Detecting outliers in industrial systems using a hybrid ensemble scheme. Neural Comput. Appl. 32(12): 8047-8063 (2020) - [j27]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): 2113-2126 (2020)
2010 – 2019
- 2019
- [j26]Biao Wang, Zhizhong Mao:
Outlier detection based on Gaussian process with application to industrial processes. Appl. Soft Comput. 76: 505-516 (2019) - [j25]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) - [j24]Jing Bai, Zhizhong Mao, Tiecheng Pu:
Recursive identification for multi-input-multi-output Hammerstein-Wiener system. Int. J. Control 92(6): 1457-1469 (2019) - [j23]Biao Wang, Zhizhong Mao:
Outlier detection based on a dynamic ensemble model: Applied to process monitoring. Inf. Fusion 51: 244-258 (2019) - 2018
- [j22]Biao Wang, Zhizhong Mao:
One-class classifiers ensemble based anomaly detection scheme for process control systems. Trans. Inst. Meas. Control 40(12): 3466-3476 (2018) - 2017
- [j21]Ting-Feng Zhang, Zhi-Zhong Mao, Ping Yuan:
A Nonlinear Block-Oriented Model for Wind Tunnel System. Inf. Technol. Control. 46(3): 403-417 (2017) - [j20]Bi Zhang, Zhizhong Mao:
Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems. J. Frankl. Inst. 354(3): 1340-1355 (2017) - 2016
- [j19]Xiaojun Wang
Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace. Adv. Eng. Informatics 30(3): 368-375 (2016) - [j18]Dakuo He, Zhengsong Wang, Le Yang, Zhizhong Mao:
Optimization Control of the Color-Coating Production Process for Model Uncertainty. Comput. Intell. Neurosci. 2016: 9731823:1-9731823:12 (2016) - [j17]Bi Zhang, Zhizhong Mao:
Adaptive control of stochastic Hammerstein-Wiener nonlinear systems with measurement noise. Int. J. Syst. Sci. 47(1): 162-178 (2016) - [j16]Bi Zhang, Hyokchan Hong, Zhizhong Mao:
Adaptive control of Hammerstein-Wiener nonlinear systems. Int. J. Syst. Sci. 47(9): 2032-2047 (2016) - [j15]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): 436-451 (2016) - [j14]Xiaojun Wang
Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees. Knowl. Based Syst. 101: 48-59 (2016) - [j13]Dakuo He
Modeling and Optimization of the Drug Extraction Production Process. Sci. Program. 2016: 3279423:1-3279423:15 (2016) - [j12]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): 863-874 (2016) - 2015
- [j11]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): 3167-3181 (2015) - 2014
- [j10]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): 1125-1136 (2014) - [j9]Feng Yu, Zhizhong Mao, Mingxing Jia, Ping Yuan:
Recursive parameter identification of Hammerstein-Wiener systems with measurement noise. Signal Process. 105: 137-147 (2014) - 2013
- [j8]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: 132-133 (2013) - [c6]Dong Xiao, Shaohua Shi, Zhizhong Mao, Jichun Wang:
Modeling of guide disk speed of rotary piercer based on PCA-ELM. ASCC 2013: 1-5 - [c5]Dong Xiao, Shaohua Shi, Zhizhong Mao, Jichun Wang:
Modeling and control for the tube blank heating quality of seamless tube. ASCC 2013: 1-5 - 2012
- [j7]Lei Li, Zhizhong Mao:
A direct adaptive controller for EAF electrode regulator system using neural networks. Neurocomputing 82: 91-98 (2012) - [j6]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: 280-287 (2012) - [j5]Xiao-Shi Xiao, Zhi-Zhong Mao, Jinliang Liu
Comments on "Decentralized Stabilization of Interconnected Systems With Time-Varying Delays". IEEE Trans. Autom. Control. 57(3): 809-810 (2012) - [c4]Yuqing Chang, Shu Wang, Shuai Tan, Fuli Wang, Zhizhong Mao:
MPCA based phase identification method and its application to process monitoring. CDC 2012: 1245-1252 - 2011
- [j4]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): 2611-2617 (2011) - [j3]Zhi-Zhong Mao, Xiao-Shi Xiao:
Decentralized adaptive tracking control of nonaffine nonlinear large-scale systems with time delays. Inf. Sci. 181(23): 5291-5303 (2011) - [j2]Xiao-Shi Xiao, Zhi-Zhong Mao:
Decentralized guaranteed cost stabilization of time-delay large-scale systems based on reduced-order observers. J. Frankl. Inst. 348(9): 2689-2700 (2011) - 2010
- [j1]Hui-Xin Tian, Zhi-Zhong Mao:
An Ensemble ELM Based on Modified AdaBoost.RT Algorithm for Predicting the Temperature of Molten Steel in Ladle Furnace. IEEE Trans Autom. Sci. Eng. 7(1): 73-80 (2010)
2000 – 2009
- 2009
- [c3]Huixin Tian, Anna Wang, Zhizhong Mao:
A new soft sensor modeling method based on modified AdaBoost with incremental learning. CDC 2009: 8375-8380 - 2008
- [c2]Chunhui Zhao
Investigation of nonlinear orthogonal signal correction algorithm and its effects on multivariate calibration. ICARCV 2008: 2049-2054 - 2007
- [c1]Xiao-li Pan, Dong Xiao, Yong Yuan, Zhizhong Mao, Fuli Wang:
Feed-forward and inferential control and its application. ROBIO 2007: 2310-2314
Coauthor Index
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