苟建平
教师姓名:  苟建平
职务职称:  博士、副教授、硕导
所属系部:  软件工程系
研究方向:  机器学习、模式识别
联系电话:  +86 18262886187
电子邮箱:  goujianping@ujs.edu.cn
个人简介

  2012年12月博士毕业于电子科技大学计算机应用技术专业,师从章毅教授(IEEE Fellow),2008年7月毕业于西南交通大学计算机应用技术专业,师从孙林夫教授。目前,主持和参与多项省部级以上项目。近年来在国内外期刊和会议上发表学术论文40多篇,其中SCI收录20篇,论文已被引用180次以上。被遴选为江苏大学2015年度 “青年骨干教师培养工程”青年学术带头人培育人选。

教研简介
主讲课程
本科生:算法设计与分析、设计模式(双语)
研究生:机器学习
留学生:Discrete Mathematics
研究领域及方向
主要研究领域:模式识别、机器学习、数据挖掘、计算机视觉与信息融合等领域的相关工作。
主要研究方向:广义近邻模式分类、稀疏表示、流形学习,降维技术、证据理论与模式识别等
注:每年招收计算机应用技术硕士研究生2-3名,欢迎对科研感兴趣、思想成熟、勤奋踏实认真和不纯粹为文凭与学位的同学报考,期望报考我的学生能做较高水平的科学研究。
研究论文
Journal Papers
[1] Jianping Gou*, Yongzhao Zhan, Yunbo Rao, Xiangjun Shen, Xiaoming Wang, Wu He, Improved pseudo nearest neighbor classification, Knowledge-based Systems, 70, pp.361-375, 2014. (SCIJCR二区
[2] Jianping Gou*, Yongzhao Zhan, Min Wan, Xiangjun Shen, Jinfu Chen and Lan Du, Maximum Neighborhood Margin Discriminant Projection for Classification, The Scientific World Journal, vol. 2014, Article ID 186749, 16 pages, http://dx.doi.org/10.1155/2014/186749, 2014. (SCI)
[3] Jianping Gou*, Zhang Yi, Lan Du, Taisong Xiong, A Local Mean-based K-Nearest Centroid Neighbor  Classifier, The Computer Journal, 55 (9), pp.1058-1071, 2012. (SCICCF二区)
[4] Jianping Gou, Zhang Yi*, Locality-Based Discriminant Neighborhood Embedding, The Computer Journal, 56(9), pp.1063-1082, 2013. (SCICCF二区)
[5] Min Wan*, Jianping Gou, Desong Wang, Xiaoming Wang, Dynamical properties of discrete background neural networks with uniform firing rate, Mathematical Problems in Engineering, vol. 2013, Article ID 892794, 6 pages, http://dx.doi.org/10.1155/2013/892794, 2013. (SCI)
[6] Yunbo Rao*, Yuhong Zhang, Jianping Gou, Hua Xiao, Gradient fusion method for night video enhancement, Electronics Telecommunications Research Institute, 35(5), pp.923-926, 2013. (SCI)
[7] Xiang-Jun Shen*, Lei Mu, Zhen Li, Hao-Xiang Wu, Jianping Gou, Xin Chen, Large-Scale Support Vector Machine Classification with Redundant Data Reduction, Neurocomputing, 172(8), pp. 189-197, 2016. (SCICCF三区)
[8] Feifei Zhang, Yongbin Yu, Qirong Mao, Jianping Gou, Pose-robust Feature Learning for Facial Expression Recognition, Frontiers of Computer Science in China, DOI: 10.1007/s11704-015-5323-3, 2016. (SCICCF三区)
[9] Yunbo Rao, XianShu Ding, Jia Li, Jianping Gou, Qifei Wang, Anterior cruciate ligament reconstruction model based on anatomical position locating, DOI: 10.1007/s11042-016-3589-6 Multimedia Tools and Applications, 2016. (SCICCF三区)
[10] Yueguo Luo, Zhongyang Xiong, Shuyin Xia, Haijun Tan, Jianping Gou. Classification Noise Detection Based SMO algorithm, Optik - International Journal for Light and Electron Optics, 127 (17), pp: 7021–7029, 2016.  (SCI) 
[11] Taisong Xiong, Yuanyuan Huang, Jianping Gou, Jinrong Hu, A unified Bayesian mixture model framework via spatial information for grayscale image segmentation, Journal of Visual Communication and Image Representation, Vol. 40, Part A, pp. 345–356, 2016. (SCICCF三区)
[12] Yongzhao Zhan, Junqi Liu, Jianping Gou, Minchao Wang,  A Video Semantic Detection Method Based on Locality-sensitive Discriminant Sparse Representation and Weighted KNN, Journal of Visual Communication and Image Representation, DOI:10.1016/j.jvcir.2016.09.006, 2016. (SCICCF三区)
[13]Shaoning Zeng, Xiong Yang, Jianpng Gou, Multiplication Fusion of Sparse and Collaborative Representation for Robust Face Recognition. Multimedia Tools and Applications, DOI: 10.1007/s11042-016-4035-5, 2016. (SCICCF三区
[14] Shaoning Zeng, Jianping Gou, Xiong Yang, Improving sparsity of coefficients for robust sparse and collaborative representation-based image classification, Neural Computing and Applications, DOI:10.1007/s00521-017-2900-4, 2017. (SCICCF三区)
[15] Shaoning Zeng, Jianping Gou, Lunman Deng, An Antinoise Sparse Representation Method for Robust Face Recognition via Joint L1 and L2 Regularization, Expert Systems with Applications, DOI: 10.1016/j.eswa.2017.04.001, 82, pp.1-9, 2017. (SCI, CCF三区, online)
[16] Shaoning Zeng, Xiong Yang, Jianping Gou, Jiajun Wen, Integrating absolute distances in collaborative representation for robust image classification, CAAI Transactions on Intelligence Technology 1 (2016) 189-196.
[17] Ping Li , Jianping Gou, Hebiao Yang , The Distance-Weighted K-nearest Centroid Neighbor Classification, Journal of Intelligent Information Hiding and Multimedia Signal Processing (JIH-MSP) , 8(3), 611-622, 2017. (EI)
[18] Hongxing Ma, Jianping Gou, Xili Wang, A pseudo nearest centroid neighbor classifier, International Journal of Computational Science and Engineering, 2017. (EI, accepted)
[19] Shaoning Zeng, Xiong Yang, Jianping Gou, Using kernel sparse representation to perform coarse to fine recognition of face images, Optik-International Journal for Light and Electron Optics, DOI: 10.1016/j.ijleo.2017.04.070, 140, pp.528-535,  2017. (SCI)
[20] Weihua Ou, Xiao Luan, Jianping Gou, Zhou Quan, Wenjun Xiao, Xiangguang Xiong and Wu Zeng, Robust discriminative nonegative dictionary learning for occluded face recognition, Pattern Recognition Letters, DOI: 10.1016/j.patrec.2017.07.006, 2017. (SCICCF三区)
[21] Qirong Mao, Guopeng Xu, Wentao Xue, Jianping Gou, Yongzhao Zhan, Learning Emotion-discriminative and Domain-invariant Features for Domain Adaptation in Speech Emotion Recognition, Speech Communication, DOI: 10.1016/j.specom.2017.06.006, 2017. (SCI)
[22] Hongxing Ma, Jianping Gou* (corresponding author), Xili Wang, Jia Ke, Shaoning Zeng, Sparse coefficient-based k-nearest neighbor classification, IEEE ACCESS, DOI: 10.1109/ACCESS.2017.2739807, 5, pp. 16618-16634, 2017. (SCI) 
[23] Xiaojie Li, Xi Wu, Jiancheng Lv, Jia He, Jianping Gou, Mao Li, Automatic detection of boundary points based on local geometrical measures, Soft Computing, DOI10.1007/s00500-017-2817-y, 2017. (SCI)
 
Conference Papers
[1] Jianping Gou, Y Zhan, X Shen, Q Mao, L Wang, Two-Phase Representation Based Classification, 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18PCM 2015, pp.265-274. (CCF三类会议)
[2] Jianping Gou, Lan Du, et,al, Discriminative Sparsity Preserving Graph Embedding, IEEE WCCI 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24-29 July 2016, pp. 4250-4257. (CCF三类会议)
[3] Jianping Gou, Wenmo Qiu, Qirong Mao, Yongzhao Zhan, Xiangjun Shen and Yunbo Rao, A Multi-Local Means Based Nearest Neighbor Classifier, 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI2017), Nov. 6-8, 2017, Boston, Massachusetts, USA. (CCF三类会议)
 
在研项目
主持在研:江苏省自然科学青年基金一项,国家自然科学青年基金一项,江苏大学高级人才科研启动基金一项,四川省人工智能开放课题一项
主要参与在研:国家自然科学基金面上项目二项,江苏省自然科学青年基金一项
结题项目
江苏省高校自然科学研究项目一项(主持),中国博士后科学基金面上项目一等一项(主持)
 
学术兼职
     IEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on CyberneticsKnowledge-based SystemsThe Computer JournalThe Scientific World JournalSCIENCE CHINA Information SciencesNeurocomputingIEEE AccessNeural Computing and Applications审稿人,中国人工智能学会青年工作委员会委员,多媒体专委会会员,IEEE会员,CCF会员。