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王标
作者:王标  发布时间:2019-07-01

    个人简介

    王标,沈阳航空航天大学,讲师。研究方向:异常数据检测算法研究与应用,数据挖掘,机器学习。

    教育经历

    2014/9 – 2019/7,东北大学,控制理论与控制工程,博士

    2012/9 – 2014/7,东北大学,控制理论与控制工程,硕士

    2008/9 – 2012/7,东北大学,自动化,学士

    已发表学术论文

    [1]. Biao Wang, Zhizhong Mao. Outlier detection based on a dynamic ensemble model: Applied to process monitoring[J]. Information Fusion. (SCI, JCR Q1).

    [2]. Biao Wang, Zhizhong Mao. Outlier detection based on Gaussian process with application to industrial processes[J]. Applied Soft Computing. (SCI, JCR Q1).

    [3]. Biao Wang, Zhizhong Mao. Detecting outliers in industrial systems using a hybrid ensemble scheme[J]. Neural Computing and Applications. (SCI, JCR Q1,).

    [4]. Biao Wang, Zhizhong Mao, Keke Huang. Detecting outliers in complex nonlinear systems controlled by predictive control strategy[J]. Chaos, Solitons & Fractals. (SCI, JCR Q1).

    [5]. Biao Wang, Zhizhong Mao, Keke Huang. Detecting outliers for complex nonlinear systems with dynamic ensemble learning[J]. Chaos, Solitons & Fractals. (SCI, JCR Q1).

    [6]. Biao Wang, Zhizhong Mao, Keke Huang. A prediction and outlier detection scheme of molten steel temperature in ladle furnace[J]. Chemical Engineering Research and Design. (SCI, JCR Q2).

    [7]. Biao Wang, Zhizhong Mao. Integrating Mach number prediction with outlier detection for wind tunnel systems[J]. Journal of Aerospace Engineering. (SCI, JCR Q2).

    [8]. Biao Wang, Zhizhong Mao. One-class classifiers ensemble based anomaly detection scheme for process control systems[J]. Transactions of the Institute of Measurement and Control. (SCI, JCR Q3).

    [9]. Biao Wang, Zhizhong Mao. Detecting Outliers in Electric Arc Furnace under the Condition of Unlabeled, Imbalanced, Non-stationary and Noisy Data[J]. Measurement and Control. (SCI, JCR Q4).

    [10]. Biao Wang, Zhizhong Mao. Evaluation of inputs for Mach number prediction model based on ANFIS[C]. CCDC 2016.EI, 国际会议).