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续欣莹
职称：教授学历：博士研究生
学科：控制科学与工程
研究领域或方向：计算机视觉、智能控制
邮箱：xuxinying@tyut.edu.cn
  • 主讲课程
  • 学术兼职
  • 学术论文
  • 主持项目
  • 著作
    本科生：智能控制理论基础、控制系统仿真技术
    硕士生：大数据分析技术
    博士生：智能控制理论与技术

    中国自动化学会混合智能专委会委员
    智能自动化专委会委员
    环境感知与保护自动化专委会委员
    中国人工智能学会高级会员
    中国人工智能学会科普工作委员会常务委员
    粒计算与知识发现专委会委员
    认知系统与信息处理专委会委员
    中国图象图形学学会视觉大数据专委会委员
    中国机械工业教育协会自动化学科委员会委员


    [1]    Xinying Xu, Yujing Xue, Xiaoxia Han, et al. Weakly Supervised Conditional Random Fields Model for Semantic Segmentation with Image Patches[J]. Applied Sciences, 2020, 10(5): 2076-3417,SCI, 3区
    [2]    Xiaoxia Han , Lin Yue , Yingchao Dong , Quanxi Xu , Gang Xie , Xinying Xu. Efficient Hybrid Algorithm Based on Moth Search and Fireworks Algorithm for Solving Numerical and Constrained Engineering Optimization Problems[J].The Journal of Supercomputing, 2020:1–26.SCI,4区
    [3]    Zhou, Jianwen ; Zhao, Wenjing ; Guo, Lei ; Xu, Xinying; Xie, Gang . Real time detection of surface defects with inception-based MobileNet-SSD detection network[J] .Lecture Notes in Computer Science,2020:510-519.
    [4]    多尺度级联R-FCN的尾灯检测算法研究[J].白博,谢刚,续欣莹.计算机工程与应用,2020,56(06):194-200.核心
    [5]    Z. Wang, H. Liu and Xu X. Broad Learning for Robotic Material Recognition[C].2019 Chinese Automation Congress (CAC), Hangzhou, China, 2019, pp. 1917-1922.
    [6]    Gaowei Yan , Songda Jia , Jie Ding , Xinying Xu, Yusong Pang. A time series forecasting based on cloud model similarity measurement[J].Soft Comput 23, 5443–5454,SCI,3区
    [7]    Xie, Xinlin; Xie, Gang; Xu, Xinying; Cui, Lei; Ren, Jinchang. Automatic Image Segmentation With Superpixels and Image-Level Lables[J]. IEEE ACCESS. 2019(7):10999-11009.SCI,2区
    [8]    Adaptive high-precision superpixel segmentation[J].Xie, Xinlin; Xie, Gang; Xu, Xinying; Cui, Lei. Multimedia Tools and Applications. 2019.78(9).SCI,4区
    [9]    Xu X, Li G, Xie G, et al. Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions[J].Complexity,2019.SCIE, 3区
    [10]    Xinying Xu, Qi Chen, Mifeng Ren, et al. Combustion Optimization for Coal Fired Power Plant Boilers Based on Improved Distributed ELM and Distributed PSO[J]. Energies,2019, 12(6),SCI, 3区
    [11]    Li, F., Liu, H., Xu, X. et al. Haptic recognition using hierarchical extreme learning machine with local-receptive-field[J]. Int. J. Mach. Learn. & Cyber. 10, 541–547. SCI,3区
    [12]    Fang, J., Xu, X., Liu, H. et al. Local receptive field based extreme learning machine with three channels for histopathological image classification[J]. Int. J. Mach. Learn. & Cyber. 10, 1437–1447. SCI,3区
    [13]    Xie, Jun ; Chen, Bo ; Gu, Xinglong ; Liang, Fengmei ; Xu, Xinying. Self-Attention-Based BiLSTM Model for Short Text Fine-Grained Sentiment Classification[J].EEE Access, v 7, 80558-180570, 2019. SCI,2区
    [14]    Dou X, Xu X, Liu H. In-hand Manipulation for Active Object Recognition[C]. International Conference on Intelligent Robotics and Applications. Springer, Cham, 2019: 427-438.
    [15]    Xinying Xu; Jing Fang; Qi Li; Gang Xie; Jun Xie; Mifeng Ren. Multi-scale Local Receptive Field Based Online Sequential Extreme Learning Machine for Material Classification[C]. Cognitive Systems and Signal Processing,2019:37-53.
    [16]    贾晨,刘华平,续欣莹,孙富春. 基于宽度学习方法的多模态信息融合[J].智能系统学报,2019,14(01):150-157.核心
    [17]Xinying Xu, Yanyun Zhang, Mifeng Ren, Jianhua Zhang, and Gaowei Yan. Generalized Correntropy Filter-Based Fault Diagnosis and Tolerant Control for Non-Gaussian Stochastic Systems Subject to Sensor Faults[J].IEEE ACCESS. 2018, 6: 12598-12607.SCI,2区
    [18] Jing Zhao,Jinchang Ren,Jaime Zabalza,Jinghuai Gao,Xinying Xu,Gang Xie. Cognitive seismic data modelling based successive differential evolution algorithm for effective exploration of oil-gas reservoirs[J].Journal of Petroleum Science and Engineering,2018,171.SCI,3区
    [19]    Zhang Zehua,Song Jian,Tang Jijun,Xu Xinyin,Guo Fei. Detecting complexes from edge-weighted PPI networks via genes expression analysis.[J].  BMC systems biology,2018,12.SCI, 2区
    [20]    Xinying Xu, Yalan Zhao, Mifeng Ren, Lan Cheng and Mingyue Gong. SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delay[J].Entropy 2018, 20(7).SCI, 3区
    [21]    Xinlin Xie, Gang Xie, Xinying Xu, Lei Cui. Adaptive high-precision superpixel segmentation[J].2018 Online.SCI,4区
    [22]    Yue Xi, Jiangbin Zheng, Xiuxiu Li, Xinying Xu, Jinchang Ren, Gang Xie. SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection[J].Cognitive Systems Research,2018,52.SCI,4区
    [23]    Xinlin Xie, Gang Xie, Xinying Xu. High precision image segmentation algorithm using SLIC and neighborhood rough set[J]. Multimedia Tools and Applications. 2018 Online.SCI,4区
    [24]    Liu, Huaping; Li, Fengxue; Xinying Xu. Active object recognition using hierarchical local-receptive-field-based extreme learning machine[J]. Memetic Computing. 2018, 10(2): 233-241.SCI,3区
    [25]    .Liu, Huaping; Li, Fengxue; Xinying Xu. Multi-modal local receptive field extreme learning machine for object recognition[J]. Neurocomputing. 2018, 277:4-11.SCI, 2区
    [26]    Wang K , Cheng L , Xu X, et al.vComplexity Reduction of the Received Signal in the Presence of Multipath[C]. Proceedings of the 37th Chinese Control Conference, July 25-27, 2018, Wuhan, China.
    [27]    Liu, HP; Fang, J; Xu, XY; Sun, FC. Surface Material Recognition Using Active Multi-modal Extreme Learning Machine[J].Cognitive Computation. 2018, 10(6): 937-950.SCI, 2区
    [28]    Feng, Bing; Hoskins, William; Zhou, Jun; Xu, Xinying; Tang, Jijun. Using supervised machine learning algorithms to screen down syndrome and identify the critical protein factors[C]. Advances in Intelligent Systems and Computing, 686: 302-308, 2018.
    [29]    Ha, V.K., Ren, J., Xu, X. et al. Deep Learning Based Single Image Super-resolution: A Survey[J]. Int. J. Autom. Comput. 16, 413–426 .SCI, 4区
    [30]    Cheng, Xiangyi; Liu, Huaping;Xinying Xu, Sun Fuchun. Denoising deep extreme learning machine for sparse representation[J]. Memetic Computing. 2017, 9:199-212.SCI, 3区
    [31]    Shen Cong,Ding Yijie,Tang Jijun,Xu Xinying,Guo Fei. An Ameliorated Prediction of Drug-Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features.[J]. International journal of molecular sciences,2017,18(8):1781.SCI, 2区
    [32]    Mifeng Ren; Yalan Zhao; Yanyun Zhang; Jianhua Zhang; Xinying Xu. Performance assessment for superheated steam temperature control system with survival information potential benchmark[C]. Chinese Automation Congress (2017 CAC). Jinan, China. 20-22 Oct. 2017:3308-3312.
    [33]续欣莹,张扩,谢珺,谢刚.基于互信息下粒子群优化的属性约简算法[J].电子学报,2017,4511:2695-2704.
    [34] Li F, Liu H, Xu X, et al. Multi-Modal Local Receptive Field Extreme Learning Machine for object recognition[C].    International Joint Conference on Neural Networks. IEEE, 2016:1696-1701.SCI, 2区
    [35]    续欣莹, 刘海涛, 谢珺, 谢刚. 信息观下基于不一致邻域矩阵的属性约简[J]. 控制与决策, 2016, 01: 130-136.核心
    [36]    Jia SD, Xu XY, Pang YS, Yan GW. Similarity Measurement Based on Cloud Models for Time Series Prediction[C]. Control and Decision Conference(CCDC), 2016: 5138-5142.
    [37]    Cheng X, Liu H, Xu X, et al. Denoising deep extreme learning machine for sparse representation[J].. Memetic Computing, 2016:1-14. SCI,3区




    （1）横向项目：“十四五”新基建咨询项目（2020.08-2021.08），经费15万元，在研；
    （2）山西省研究生教育教学改革项目：国际化视野下校所联合研究生高质量培养的探索与实践（2020.05-2022.05），经费1万元，在研；
    （3）山西省教育科学规划专项课题：基于个性化学习画像的大数据精准教学研究（2020.11-2022.11），在研；
    （4）山西省自然科学基金项目：基于粗糙集模型的弱监督图像语义分割（2018.12-2020.12），经费5万元，在研；
    （5）横向项目：面向智能机器人的多模态视觉技术（2018.11-2019.11），经费3万元，结题；
    （6）横向项目：面向空对地主动目标检测的三维实景仿真技术（2018.3-2019.3），经费20万元，结题；
    （7）山西省科技厅项目：在役火电机组节能监测关键技术开发子课题（数据采集系统开发）（2015.1-2017.12），经费20万，结题；
    （8）山西省基础研究计划项目（自然）：海量场景视觉数据的多粒度知识表示和深度免疫学习（2014.1-2016.12），经费3万元，结题；
    （9）山西省回国留学人员科研资助项目：视觉场景的粒度表达和免疫学习（2013.6-2016.5），经费5万元，结题；
    （10）山西省科技厅项目（青年）：基于粒神经网络的火电厂风机故障诊断的研究（2009.1-2012.12），经费3万元，结题。

    （1）可编程控制器原理与程序设计（第2版），“十一五”国家级高等教育规划教材，电子工业出版社，2010.4，参编；
    （2）自动控制原理（第3版），普通高等教育“十一五”国家级规划教材，电子工业出版社，2013.1，参编；
    （3）信号与系统，普通高等教育“十二五”规划教材，电子工业出版社，2015.1，参编；
    （4）计算机仿真技术与CAD——基于MATLAB的控制系统，普通高等教育“十一五”、“十二五”国家级规划教材，电子工业出版社，2016.2，参编。

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