基本信息
职称:教授
电话:15367990311
邮箱:zhougx01@163.com
地址:湖南省长沙市韶山南路498号中南林业科技大学计算机与信息工程学院(求是楼506室)
个人简介:
周国雄,男,博士,教授,硕士生导师。
学习经历:
1998年9月至2002年7月在湖南农业大学工程技术学院攻读机械设计制造及其自动化专业,获工学学士学位;
2003年9月至2006年7月在中南大学信息科学与工程学院攻读控制理论与控制工程专业,硕士学位论文研究课题为“焦炉集气管压力智能集成解耦控制算法及其应用研究”,获工学硕士学位;
2006年9月至2010年9月,在中南大学信息科学与工程学院在职攻读控制科学与工程专业,研究方向为智能控制及过程控制,博士学位论文研究课题为“多座不对称焦炉集气管压力智能解耦与优化控制策略及应用研究”,获工学博士学位。
2011年12月至2014年12月,在中南林业科技大学林业工程从事博士后科学研究,研究课题为“现代木结构的损伤识别研究”。
任职情况:
2006年7月至今,中南林业科技大学担任自动化专业教师职务,职称教授。
主要研究方向:
人工智能,智能控制,森林防火预测模型。
社会兼职:
1. 湖南省仪器仪表学会常务理事;
2. 湖南省仪器仪表标准化技术委员会委员;
3. SCI期刊Frontiers in Plant Science客座主编;
4. SCI期刊Fire客座主编。
科研及教学情况:
主持参与国家自然科学基金项目、湖南省自然科学基金项目、湖南省教育厅重点项目、长沙市自然基金项目等7项。担任西门子杯智能制造挑战赛中南林业科技大学校区负责人,作为第一指导老师带领学生获得美国大学生数学建模竞赛特等奖提名1项、三等奖4项;中国大学生服务外包国家二等奖3项,三等奖4项;西门子杯智能制造挑战赛国家二等奖3项;中国计算机设计大赛国家二等奖5项、三等奖9项;全国大学生电子设计竞赛湖南省三等奖1项;湖南省大学生程序设计竞赛机器人类省二等奖3项;Robocup机器人世界杯中国赛国家三等奖2项;软银杯高尔夫机器人大赛国家一等奖1项;Mathorcup全国大学生数学建模竞赛国家一等奖2项;指导本科生获得6次校级优秀毕业设计,作为主编编著教材3部、在《IEEE Transactions on Geoscience and remote sensing》、《knowledge-based system》、《computers and electronics in agriculture》、《applied soft computing》、《IEEE Systems Journal》、《控制理论与应用》、《农业工程学报》等期刊发表论文81篇,SCI收录42篇、EI收录14篇,国家发明专利3项。
代表性学术成果:
[1] 周国雄,赖旭芝,曹卫华,等.焦炉集气管压力智能解耦控制系统的应用.中南大学学报(自科版),2006,37(3):558-561.(EI收录)
[2] 周国雄,吴敏,曹卫华,等.焦炉集气管压力的变结构模糊控制研究.信息与控制,2007,36(6):732-738
[3] 周国雄,蒋辉平.基于分层结构模糊免疫PID的孵化过程控制.农业工程学报,2007,23(12):167-170(EI收录)
[4] 周国雄,熊达清,敬文举,等.禽蛋孵化过程的混合智能控制.农业机械学报,2008,39(1):118-122.(EI收录20081911244792)
[5] 周国雄,吴敏,曹卫华,等.基于粒子群优化的焦炉集气管压力变结构模糊控制.信息与控制,2008,37(3):327-333
[6] 周国雄,吴敏,雷琪,等.多输入模糊协调控制算法及应用研究.系统仿真学报,2008,20(13):3366-3370(EI收录)
[7] 周国雄,雷琪.基于集成模型的集气管压力设定值稳态优化研究.仪器仪表学报,2011,32(4):44-49(EI收录)
[8] 周国雄,莫晓山.基于灰色预测和BP的集气管压力集成预测方法.仪器仪表学报,2011,32(7):1648-1654(EI收录)
[9] 周国雄,雷琪.基于多模型平滑切换策略的集气管压力变结构控制.高技术通讯,2012,22(3):315-319(EI收录)
[10] 周国雄,吴舒辞.禽蛋孵化过程组合预测研究.农业机械学报,2012,43(12):235-240(EI收录20121814985344)
[11] 周国雄,李琳,沈学杰.基于SVM和灰色预测的飞灰含碳量集成预测.系统仿真学报,2013,25(4):727-731
[12] 周国雄,沈学杰,李琳,贺超英.基于AdaBoost的网络入侵智能检测[J].系统仿真学报,2014,26(7):1517-1521
[13] 周国雄, 周先雁, 王解军, 黄特。基于小波分析—蚁群BP网络的木构件缺陷无损检测,系统仿真学报,2015,27(11):2804-2810
[14] 周国雄, 李俊超*,陈爱斌。基于α阶神经网络逆系统孵化过程解耦控制,系统仿真学报,2016,28(07):1661-1666,1672
[15] 周国雄,吴淇*, 陈爱斌。 林火蔓延模拟元胞自动机算法研究,仪器仪表学报,2017,38(2):288-294(EI收录)
[16] 周国雄, 吴淇,陈爱斌*. 基于多智能体的CA林火空间扩散模型,系统仿真学报,2018,30(3):824-830,839
[17] Pingguo Xiao, Guoxiong Zhou.*, Mingfang He, et al. Apple image recognition based on deep and migration learning. International Agricultural Engineering Journal, 2018, 27(3), 371–379.(EI收录)
[18] 周国雄,尹克佳,陈爱斌*.基于DEVS建模的动态数据驱动林火蔓延模型,系统仿真学报,2018,30(10):3642-3646
[19] Chuliang Wu, Guoxiong Zhou*, Tong Li, et al. Locating water resources for forest fire extinguishment based on weighted voronoi diagrams and a fuzzy system theory. International Agricultural Engineering Journal, 2019, 28(2),77-88.(EI收录)
[20] 周国雄,李彤*,陈爱斌,何明芳.森林灭火水源选址的建模与仿真,系统仿真学报,2020,32(4):660-668
[21] Xiao Chen ,Guoxiong Zhou*, Aibin Chen , et al. Identification of tomato leaf diseases based on combination of ABCK-BWTR and B-ARNet,Computers and Electronics in Agriculture,2020,178(SCI二区)
[22] Aijiao Tan, Guoxiong Zhou*, Mingfang He, Surface defect identification of Citrus based on KF-2D-Renyi and ABC-SVM, Multimedia Tools and Applications , 2021, 80(6):9109-9136(SCI 四区)
[23] Xiao Chen, Guoxiong Zhou*, Aibin Chen, et al. The fruit classification algorithm based on the multi-optimization convolutional neural network. Multimedia Tools and Applications ,(2021),80(7):11313–11330 (SCI四区)
[24] Wenzhuo Zhang #,Aijiao Tan#, Guoxiong Zhou*, et al. A method for classifying citrus surface defects based on machine vision. Food Measure (2021), 15(3):2877-2888 (SCI 三区)
[25] Xiaohu Qiang, Guoxiong Zhou*, Aibin Chen, et al. Forest fire smoke detection under complex backgrounds using TRPCA and TSVB. INTERNATIONAL JOURNAL OF WILDLAND FIRE (2021),30(5): 329-350(SCI 二区)
[26] Haifei Lin , Guoxiong Zhou*, Aibin Chen, et al. EM-ERNet for Image-Based Banana Disease Recognition. Food Measure (2021),15 (5):4696-4710 (SCI 三区)
[27] Mingxuan Li, Guoxiong Zhou *,Chen Aibin, Yi, Jizheng, Chao Lu, Mingfang He, Yahui Hu, FWDGAN-based data augmentation for tomato leaf disease identification. Computers and Electronics in Agriculture, 2022, 194(SCI一区)
[28] Jiayong Li, Guoxiong Zhou *,Chen Aibin, Yanfeng Wang, Jianwu Jiang, Yahui Hu, Chao Lu,
[29] , Adaptive linear feature-reuse network for rapid forest fire smoke detection model, Ecological Informatics,2022,68(SCI三区)
[30] Yaowen Hu, Jialei Zhan, Guoxiong Zhou*, Aibin Chen, Weiwei Cai, KunGuo, Yahui Hu, Liujun Li, Fast forest smoke detection using MVMNet, Knowledge-Based Systems, 2022 (SCI一区 )
[31] Wenzhuo Zhang, Guoxiong Zhou*,Chen Aibin, Ling Pu, Yahui Hu, Deep multi-scale dual-channel convolutional neural network for Internet of Things apple disease detection. Computers and Electronics in Agriculture, 2022, 194 (SCI一区)
[32] Jie He, Tao Liu, Liujun Li, Yahui Hu, Guoxiong Zhou*, MFaster R-CNN for Maize Leaf Diseases Detection Based on Machine Vision, Arabian Journal for Science and Engineering, 2023(SCI四区)
[33] Li, Mingxuan, Zhou, Guoxiong*, Li, Zongchen, Fast recognition system forTree images based on dual-task Gabor convolutional neural network, Multimedia Tools and Applications, 2022(SCI四区)
[34] Hu Yaowen, Zhan Jialei, Zhou Guoxiong*, Chen Aibin, Li Jiayong, Fast recognition system forTree images based on dual-task Gabor convolutional neural network, Multimedia Tools and Applications, 2022(SCI四区)
[35] J. Li, G. Zhou*, A. Chen, C. Lu and L. Li, BCMNet: Cross-Layer Extraction Structure and Multiscale Downsampling Network With Bidirectional Transpose FPN for Fast Detection of Wildfire Smoke, IEEE Systems Journal, 2023, doi: 10.1109/JSYST.2022.3193951.(SCI二区)
[36] Liangji Zhang, Guoxiong Zhou*, Chao Lu, Aibin Chen, Yanfeng Wang, Liujun Li, Weiwei Cai, MMDGAN: A fusion data augmentation method for tomato-leaf disease identification, Applied Soft Computing,2022, 123(SCI二区)
[37] Jialei Zhan, Yaowen Hu, Guoxiong Zhou*, Yanfeng Wang, Weiwei Cai, Liujun Li,A high-precision forest fire smoke detection approach based on ARGNet,Computers and Electronics in Agriculture,2022, 196,106874(SCI一区)
[38] Suo J, Zhan J, Zhou G*, Chen A, Hu Y, Huang W, Cai W, Hu Y and Li L (2022) CASM-AMFMNet: A Network Based on Coordinate Attention Shufflfle Mechanism and Asymmetric Multi-Scale Fusion Module for Classification of Grape Leaf Diseases. Front. Plant Sci. 13:846767(SCI二区)
[39] Liu X, Hu Y, Zhou G*, Cai W, He M, Zhan J, Hu Y and Li L (2022) DS-MENet for the classification of citrus disease.Front. Plant Sci. 13:884464.(SCI二区)
[40] Lu, C., Zhou, G.* & Li, M. Research on information fusion method for heat model and weather model based on HOGA-SVM. Multimed Tools Appl (2023)(SCI四区)
[41] Shundong Fang, Yanfeng Wang, Guoxiong Zhou*, Aibin Chen, Weiwei Cai,,Qifang Wang, Yahui Hu, Liujun Li, Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds,Computers and Electronics in Agriculture,2022, 203,107486.(SCI一区)
[42] Yukai Zhang, Shuangjie Huang, Guoxiong Zhou*, Yahui Hu, Liujun Li, Identification of tomato leaf diseases based on multi-channel automatic orientation recurrent attention network, Computers and Electronics in Agriculture, 2023, 205,107605.(SCI一区)
[43] Zhiwen Tang, Xinyu He, Guoxiong Zhou*, Aibin Chen,Yanfeng Wang, Liujun Li, Yahui Hu, Liujun Li, A precise image-based tomato leaf disease detection approch using PLPNet, plant phenomics, 2023.(SCI一区)