伟德 官网
歡迎來到伟德 官网!
網站首頁
伟德 官网
English
網站首頁
伟德全称
學院簡介
學院領導
機構設置
部門電話
曆史沿革
學院年鑒
師資隊伍
師資概況
博士生導師
碩士生導師
教學名師
教職員工
黨建工作
黨建活動
工會工作
黨員發展
理論學習
學習之星
教育教學
本科生招生
本科生培養
研究生招生
研究生培養
國家教學成果獎
科學研究
科研動态
科研成果
科研項目
基地與平台
合作交流
學術交流
院企合作
學生工作
工作動态
思政天地
求職就業
獎助學金
心理健康
榮譽成果
學生制度
校友之家
校友風采
校友動态
青春留念
聯系我們
下載中心
學生
教師
其它
科研資料
黨建資料
教學資料
師資隊伍
師資概況
博士生導師
碩士生導師
教學名師
教職員工
當前位置:
網站首頁
>>
師資隊伍
>>
碩士生導師
>> 正文
續欣瑩
職稱:
教授
學曆:
博士研究生
學科:
控制科學與工程
研究領域或方向:
計算機視覺、智能控制
郵箱:
xuxinying@tyut.edu.cn
主講課程
學術兼職
學術論文
主持項目
著作
本科生:智能控制理論基礎、控制系統仿真技術
碩士生:大數據分析技術
博士生:智能控制理論與技術
中國自動化學會混合智能專委會委員
智能自動化專委會委員
環境感知與保護自動化專委會委員
中國人工智能學會高級會員
中國人工智能學會科普工作委員會常務委員
粒計算與知識發現專委會委員
認知系統與信息處理專委會委員
中國圖象圖形學學會視覺大數據專委會委員
中國機械工業教育協會自動化學科委員會委員
[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區
[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區
[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] 多尺度級聯R-FCN的尾燈檢測算法研究[J].白博,謝剛,續欣瑩.計算機工程與應用,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區
[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區
[8] Adaptive high-precision superpixel segmentation[J].Xie, Xinlin; Xie, Gang; Xu, Xinying; Cui, Lei. Multimedia Tools and Applications. 2019.78(9).SCI,4區
[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區
[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區
[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區
[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區
[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區
[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] 賈晨,劉華平,續欣瑩,孫富春. 基于寬度學習方法的多模态信息融合[J].智能系統學報,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區
[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區
[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區
[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區
[21] Xinlin Xie, Gang Xie, Xinying Xu, Lei Cui. Adaptive high-precision superpixel segmentation[J].2018 Online.SCI,4區
[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區
[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區
[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區
[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區
[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區
[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區
[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區
[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區
[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]續欣瑩,張擴,謝珺,謝剛.基于互信息下粒子群優化的屬性約簡算法[J].電子學報,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區
[35] 續欣瑩, 劉海濤, 謝珺, 謝剛. 信息觀下基于不一緻鄰域矩陣的屬性約簡[J]. 控制與決策, 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區
(1)橫向項目:“十四五”新基建咨詢項目(2020.08-2021.08),經費15萬元,在研;
(2)山西省研究生教育教學改革項目:國際化視野下校所聯合研究生高質量培養的探索與實踐(2020.05-2022.05),經費1萬元,在研;
(3)山西省教育科學規劃專項課題:基于個性化學習畫像的大數據精準教學研究(2020.11-2022.11),在研;
(4)山西省自然科學基金項目:基于粗糙集模型的弱監督圖像語義分割(2018.12-2020.12),經費5萬元,在研;
(5)橫向項目:面向智能機器人的多模态視覺技術(2018.11-2019.11),經費3萬元,結題;
(6)橫向項目:面向空對地主動目标檢測的三維實景仿真技術(2018.3-2019.3),經費20萬元,結題;
(7)山西省科技廳項目:在役火電機組節能監測關鍵技術開發子課題(數據采集系統開發)(2015.1-2017.12),經費20萬,結題;
(8)山西省基礎研究計劃項目(自然):海量場景視覺數據的多粒度知識表示和深度免疫學習(2014.1-2016.12),經費3萬元,結題;
(9)山西省回國留學人員科研資助項目:視覺場景的粒度表達和免疫學習(2013.6-2016.5),經費5萬元,結題;
(10)山西省科技廳項目(青年):基于粒神經網絡的火電廠風機故障診斷的研究(2009.1-2012.12),經費3萬元,結題。
(1)可編程控制器原理與程序設計(第2版),“十一五”國家級高等教育規劃教材,電子工業出版社,2010.4,參編;
(2)自動控制原理(第3版),普通高等教育“十一五”國家級規劃教材,電子工業出版社,2013.1,參編;
(3)信号與系統,普通高等教育“十二五”規劃教材,電子工業出版社,2015.1,參編;
(4)計算機仿真技術與CAD——基于MATLAB的控制系統,普通高等教育“十一五”、“十二五”國家級規劃教材,電子工業出版社,2016.2,參編。
.
網站首頁
伟德全称
師資隊伍
黨建工作
教育教學
科學研究
合作交流
學生工作
校友之家
下載中心