侍佼


的个人主页 http://teacher.nwpu.edu.cn/jiaoshi

基本信息 The basic information

侍佼

电子信息学院

博士研究生毕业

工学博士

副教授

jiaoshi@nwpu.edu.cn

工作经历 Work Experience

2015年4月至2018年6月,西北工业大学,电子信息学院,系统与控制工程系,讲师

2016年11月至2016年12月,韩国仁川大学,多媒体视频研究所,访问学者

2018年7月至今,西北工业大学,电子信息学院,系统与控制工程系,副教授

2017年7月至今,西北工业大学,电子信息学院,电子科学与技术专业,硕士生导师

2021年7月至今,西北工业大学,电子信息学院,电子科学与技术专业,博士生导师

教育经历 Education Experience

2005.08~2009.07 就读于西安电子科技大学电子工程学院生物医学工程专业,获工学学士学位

2013.08~2014.08 赴荷兰莱顿大学进阶计算机科学研究所交流访问

2009.08~2015.03 就读于西安电子科技大学电子工程学院学院电路与系统专业,获工学博士学位

科学研究 Scientific Research

研究方向:深度学习模型优化,大数据深度学习与应用,图像和信号处理,进化算法优化及应用,遥感影像解译与分析。

联系方式:jiaoshi@nwpu.edu.cn


科研项目:参与欧洲联盟第7框架国际合作项目(自然计算及其应用,Nature inspired computation and its applications, NICaiA)。主持科研项目国家级 2 项、省部级 4 项。负责并主持国家自然科学基金面上项目,国家自然科学基金青年项目、军委科技委前沿创新项目,中国博士后科学基金面上项目,陕西省自然科学基金项目,陕西省博士后科学基金项目,深圳市科技创新项目,中央高校基本科研业务费专项资金项目,韩国三星公司合作项目等。参与自然基金重大研究计划、国家“863计划”,部委预研以及企业产学研项目若干。已在国际刊物上发表SCI/EI 检索论文40余篇,其中 25 篇 SCI 检索论文。


招生信息:招收电子科学与技术专业博士、硕士研究生。如果您数学好、编程能力强、英语读写能力强,碰巧还想学习人工智能的相关知识,就来找我们吧!欢迎优秀本科生来我们项目组攻读硕士学位!毕业学生可推荐至人工智能公司、研究所工作。


获得荣誉:研究内容“计算智能中的协作学习与优化理论及方法”获教育部自然科学二等奖。

获中国电子学会第二十一届青年学术年会最佳论文奖。


教育教学:本科生课程《算法设计与优化》,《大数据》

       硕士研究生课程《算法设计技术与智能优化方法》,《大数据分析与挖掘》

       博士研究生课程《模糊控制与智能控制基础》


学术兼职:现为IEEE会员,中国电子学会会员,智能空天电子系统技术工业和信息化部重点实验室秘书,中国电子学会智能无人系统分会秘书。

学术成果 Academic Achievements

发表论文:

[1] J. Shi, Y. Lei, J. Wu and G. Jeon, "Uncertain active contour model based on rough and fuzzy sets for auroral oval segmentation," Information Sciences, vol. 492, pp. 72-103, 2019.
[2] Shi Jiao, Lei Yu, Zhou Ying and Gong Maoguo, “An Enhanced Hybrid C-Means Algorithm with Strict Rough Set Properties”, Applied Soft Computing, 2015, 46:827-850.
[3] Jiao Shi, Jiaji Wu, Marco Anisetti, Ernesto Damiani, Gwanggil Jeon, “An interval type-2 fuzzy active contour model for auroral oval segmentation”, Soft Computing, 2015,21:1-21.
[4] Shi Jiao, Zhou Ying, Lei Yu, “A narrow band interval type-2 fuzzy approach for image segmentation”, Journal of Systems Architecture, 2016, 64:86-99.
[5] Jiao Shi, Yu Lei, Jiaji Wu, Anand Paul, Mucheol Kim, and Gwanggil Jeon, "Uncertain Clustering Algorithms Based on Rough and Fuzzy Sets for Image Segmentation", Journal of Real-Time Image Processing, 2017, 13:1-19.
[6] Tao Wu, Jiao Shi, Xiangming Jiang, “A multi-objective memetic algorithm for low rank and sparse matrix decomposition”, Information Sciences, 2018, 468:172-192.
[7] Lei Y, Shi J, Wu J, et al. Region-driven distance regularized level set evolution for change detection in remote sensing images. Multimedia Tools and Applications, 2017, 76(23): 24707-24722.
[8] Lei Y, Shi J, Yan Z. A memetic algorithm based on MOEA/D for the examination timetabling problem. Soft Computing, 2018, 22(5): 1511-1523.
[9] Lei Y, Liu X, Shi J, et al. Multiscale Superpixel Segmentation with Deep Features for Change Detection. IEEE Access, 2019: 36600-36616 .
[10] Lei Yu, Zhou Ying, Shi Jiao, “Overlapping Communities Detection of Social Network based on Hybrid C-means Clustering Algorithm”, Sustainable Cities and Society, 2019: 101436. (accepted)
[11] Jiao Shi, Jiaji Wu, Anand Paul, Licheng Jiao, and Maoguo Gong, "Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Active Contour Models and Genetic Algorithms". Mathematical Problems in Engineering. Volume 2014, Article ID 870936.
[12] Jiao Shi,Jiaji Wu, Anand Paul, Licheng Jiao, and Maoguo Gong, "A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation". The Scientific World Journal, Volume 2014, Article ID 840305.
[13] Jiao Shi, Maoguo Gong, Wenping Ma, and Licheng Jiao, "A Multipopulation Coevolutionary Strategy for Multiobjective Immune Algorithm". The Scientific World Journal, Volume 2014, Article ID 539128.
[14] Maoguo Gong, Yan Liang, Jiao Shi, Wenping Ma, Jingjing Ma, "Fuzzy C-Means Clustering with Local Information and Kernel Metric for Image Segmentation". IEEE Transactions on Image Processing, Vol. 22, No. 2, 2013: 573–584.
[15] Lei Yu, and Shi Jiao, “A NNIA Scheme for Timetabling Problems”, Journal of Optimization, 2017, 10: 248-257.
[16] Jiao Shi and Jiaji Wu, "Partition Region-based Fuzzy Active Contour Model for Auroral Oval Segmentation". China Symposium on Polar Science. 2014.
[17] Jiao Shi, Yu Lei, Jing Bai and Jiaji Wu, “Gradually Evolved Fuzzy Active Contour Model for Auroral Oval Segmentation”, IEEE International Geoscience and Remote Sensing Symposium 2017.
[18] Jiao Shi, and Yu Lei, "Evolved Gradually Fuzzy Active Contour Model for Auroral Oval Segmentation", Youth academic conference of Chinese Institute of Electronics 2015.
[19] Lei Y, Shi J, Zhou Y, et al. Extraction of Auroral Oval Regions Using Suppressed Fuzzy C Means Clustering. IEEE International Geoscience and Remote Sensing Symposium, 2018: 6883-6886.
[20] Jiaji Wu, Wenze Li and Jiao Shi, "Fine-grained Parallel Implementation of Edge-directed Image Interpolation on GPU". IEEE International Conference on Parallel and Distributed Systems. 2014.