Zhizhong Mao - RankMe

56 papers C 1Journal 50Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Cloud-Edge Collaborative Framework for Power Load Forecasting Using Deep Learning. IEEE Trans. Instrum. Meas. Wencheng Liu, Zhizhong Mao, Lin Jiang
2025	J	`jnl`	Deep domain-adversarial anomaly detection with partial gradient reversal. Appl. Soft Comput. Jingkai Chi, Zhizhong Mao
2025	J	`jnl`	Exploration of grade distribution in iron mines based on rough set extreme learning machine and multispectral. Expert Syst. Appl. Hongfei Xie, Dong Xiao, Zhizhong Mao
2025	J	`jnl`	Hybrid Deep LSTM-GAT Network With Mechanism Information for Prediction of Mach Number. IEEE Trans. Instrum. Meas. Lin Liu, Zhizhong Mao
2025	J	`jnl`	Structure identification of time delay polynomial Hammerstein models. Autom. Feng Yu, Dakuo He, Runda Jia, Zhizhong Mao
2025	J	`jnl`	Time series anomaly detection based on enhanced anomaly simulation and triplet contrastive knowledge base. Knowl. Based Syst. Yushun Xia, Zhizhong Mao
2025	J	`jnl`	Weakly-supervised anomaly detection based on adversarial transfer learning. Eng. Appl. Artif. Intell. Jingkai Chi, Zhizhong Mao
2024	J	`jnl`	A real-valued label noise cleaning method based on ensemble iterative filtering with noise score. Int. J. Mach. Learn. Cybern. Chuang Li, Zhizhong Mao, Mingxing Jia
2024	J	`jnl`	Deep domain-adversarial anomaly detection with robust one-class transfer learning. Knowl. Based Syst. Jingkai Chi, Zhizhong Mao
2024	J	`jnl`	Generalized Dynamic Feature Extraction Method for Rotary Kiln Sintering Condition Recognition. IEEE Trans. Ind. Informatics Wenyu Hu, Zhizhong Mao, Youping Fan
2024	J	`jnl`	Prediction of rainy-day photovoltaic power generation based on Generative Adversarial Networks and enhanced Sparrow Search Algorithm. Comput. Electr. Eng. Wencheng Liu, Zhizhong Mao
2024	J	`jnl`	Robust Gaussian process regression based on bias trimming. Knowl. Based Syst. Jingkai Chi, Zhizhong Mao, Mingxing Jia
2024	J	`jnl`	Time-slice dynamic prediction and multiway serial PCA for batch industrial process monitoring. Comput. Chem. Eng. Hanqi Li, Mingxing Jia, Zhizhong Mao
2023	J	`jnl`	A label noise filtering method for regression based on adaptive threshold and noise score. Expert Syst. Appl. Chuang Li, Zhizhong Mao
2023	J	`jnl`	Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and Diagnosis. Entropy Hanqi Li, Mingxing Jia, Zhizhong Mao
2023	J	`jnl`	Forecasting for Chaotic Time Series Based on GRP-lstmGAN Model: Application to Temperature Series of Rotary Kiln. Entropy Wenyu Hu, Zhizhong Mao
2023	J	`jnl`	Rapid Detection of Iron Ore Grades Based on Fractional-Order Derivative Spectroscopy and Machine Learning. IEEE Trans. Instrum. Meas. Hongfei Xie, Dong Xiao, Zhizhong Mao
2023	J	`jnl`	Selective Feature Bagging of one-class classifiers for novelty detection in high-dimensional data. Eng. Appl. Artif. Intell. Biao Wang, Wenjing Wang, Guanglei Meng, Tiankuo Meng, Bin Song, Yingnan Wang, Yuming Guo, Zhihua Qiao, Zhizhong Mao
2022	J	`jnl`	A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis. Comput. Chem. Eng. Shulei Zhang, Runda Jia, Dakuo He, Fei Chu, Zhizhong Mao
2022	J	`jnl`	A robust novelty detection framework based on ensemble learning. Int. J. Mach. Learn. Cybern. Biao Wang, Wenjing Wang, Na Wang, Zhizhong Mao
2022	J	`jnl`	Boosting the prediction of molten steel temperature in ladle furnace with a dynamic outlier ensemble. Eng. Appl. Artif. Intell. Biao Wang, Wenjing Wang, Guanglei Meng, Zhihua Qiao, Yuming Guo, Na Wang, Wei Wang, Zhizhong Mao
2022	J	`jnl`	Dynamic selective Gaussian process regression for forecasting temperature of molten steel in ladle furnace. Eng. Appl. Artif. Intell. Biao Wang, Wenjing Wang, Zhihua Qiao, Guanglei Meng, Zhizhong Mao
2022	J	`jnl`	Generative adversarial network-based real-time temperature prediction model for heating stage of electric arc furnace. Trans. Inst. Meas. Control Chuang Li, Zhizhong Mao
2021	J	`jnl`	A New Method for Sensing Pouring Temperature of Molten Steel in Tundish. IEEE Trans. Instrum. Meas. Qixian Xie, Jiu Zhang, Zhizhong Mao
2021	J	`jnl`	Using multiple classifier behavior to develop a dynamic outlier ensemble. Int. J. Mach. Learn. Cybern. Ping Yuan, Biao Wang, Zhizhong Mao
2020	J	`jnl`	A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule. Inf. Fusion Biao Wang, Zhizhong Mao
2020	J	`jnl`	A pruned support vector data description-based outlier detection method: Applied to robust process monitoring. Trans. Inst. Meas. Control Ping Yuan, Zhizhong Mao, Biao Wang
2020	J	`jnl`	Detecting outliers in industrial systems using a hybrid ensemble scheme. Neural Comput. Appl. Biao Wang, Zhizhong Mao
2020	J	`jnl`	Identification of Time-Varying Hammerstein-Wiener Systems. IEEE Access Feng Yu, Zhizhong Mao, Dakuo He
2019	J	`jnl`	Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes. Appl. Soft Comput. Xiaolong Chen, Zhizhong Mao, Runda Jia, Shuning Zhang
2019	J	`jnl`	Outlier detection based on Gaussian process with application to industrial processes. Appl. Soft Comput. Biao Wang, Zhizhong Mao
2019	J	`jnl`	Outlier detection based on a dynamic ensemble model: Applied to process monitoring. Inf. Fusion Biao Wang, Zhizhong Mao
2019	J	`jnl`	Recursive identification for multi-input-multi-output Hammerstein-Wiener system. Int. J. Control Jing Bai, Zhizhong Mao, Tiecheng Pu
2018	J	`jnl`	One-class classifiers ensemble based anomaly detection scheme for process control systems. Trans. Inst. Meas. Control Biao Wang, Zhizhong Mao
2017	J	`jnl`	Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems. J. Frankl. Inst. Bi Zhang, Zhizhong Mao
2016	J	`jnl`	A modified robust self-tuning controller for Hammerstein nonlinear systems with asymmetric deadzone input nonlinearity. J. Syst. Control. Eng. Bi Zhang, Zhizhong Mao
2016	J	`jnl`	Adaptive control of Hammerstein-Wiener nonlinear systems. Int. J. Syst. Sci. Bi Zhang, Hyokchan Hong, Zhizhong Mao
2016	J	`jnl`	Adaptive control of stochastic Hammerstein-Wiener nonlinear systems with measurement noise. Int. J. Syst. Sci. Bi Zhang, Zhizhong Mao
2016	J	`jnl`	Modeling and Optimization of the Drug Extraction Production Process. Sci. Program. Dakuo He, Zhengsong Wang, Le Yang, Tongshan Liu, Yao Yao, Zhizhong Mao
2016	J	`jnl`	Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees. Knowl. Based Syst. Xiaojun Wang, Ping Yuan, Zhizhong Mao, Mingshuang You
2016	J	`jnl`	Optimization Control of the Color-Coating Production Process for Model Uncertainty. Comput. Intell. Neurosci. Dakuo He, Zhengsong Wang, Le Yang, Zhizhong Mao
2016	J	`jnl`	The modified feature subsets ensemble applied for the mach number prediction in wind tunnel. IEEE Trans. Aerosp. Electron. Syst. Xiaojun Wang, Ping Yuan, Zhizhong Mao
2016	J	`jnl`	Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace. Adv. Eng. Informatics Xiaojun Wang, Mingshuang You, Zhizhong Mao, Ping Yuan
2015	J	`jnl`	Ensemble fixed-size LS-SVMs applied for the Mach number prediction in transonic wind tunnel. IEEE Trans. Aerosp. Electron. Syst. Xiaojun Wang, Ping Yuan, Zhizhong Mao
2014	J	`jnl`	Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge. Neural Comput. Appl. Wu Lv, Zhi Xie, Zhizhong Mao, Ping Yuan, Mingxing Jia
2014	J	`jnl`	Recursive parameter identification of Hammerstein-Wiener systems with measurement noise. Signal Process. Feng Yu, Zhizhong Mao, Mingxing Jia, Ping Yuan
2013	J	`jnl`	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. Wu Lv, Zhizhong Mao, Ping Yuan, Mingxing Jia
2013	—	`conf`	Modeling and control for the tube blank heating quality of seamless tube. ASCC Dong Xiao, Shaohua Shi, Zhizhong Mao, Jichun Wang
2013	—	`conf`	Modeling of guide disk speed of rotary piercer based on PCA-ELM. ASCC Dong Xiao, Shaohua Shi, Zhizhong Mao, Jichun Wang
2012	J	`jnl`	A direct adaptive controller for EAF electrode regulator system using neural networks. Neurocomputing Lei Li, Zhizhong Mao
2012	—	`conf`	MPCA based phase identification method and its application to process monitoring. CDC Yuqing Chang, Shu Wang, Shuai Tan, Fuli Wang, Zhizhong Mao
2012	J	`jnl`	Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace. Knowl. Based Syst. Wu Lv, Zhizhong Mao, Ping Yuan, Mingxing Jia
2011	J	`jnl`	Hybrid modeling for the prediction of leaching rate in leaching process based on negative correlation learning bagging ensemble algorithm. Comput. Chem. Eng. Guanghao Hu, Zhizhong Mao, Dakuo He, Fei Yang
2009	—	`conf`	A new soft sensor modeling method based on modified AdaBoost with incremental learning. CDC Huixin Tian, Anna Wang, Zhizhong Mao
2008	C	`conf`	Investigation of nonlinear orthogonal signal correction algorithm and its effects on multivariate calibration. ICARCV Chunhui Zhao, Fuli Wang, Zhizhong Mao, Jianchang Liu
2007	—	`conf`	Feed-forward and inferential control and its application. ROBIO Xiao-li Pan, Dong Xiao, Yong Yuan, Zhizhong Mao, Fuli Wang