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姓 名:何进荣

职 称:讲师

办公室:信息工程学院319

电 话:18792809680

邮 箱:hejinrong@nwafu.edu.cn

 

基本信息
2003.9-2007.7:   武汉理工大学信息与计算科学专业本科
2007.9-2010.6: 武汉理工大学计算数学硕士研究生
2010.6-2011.7: 武汉工程科技学院基础课部教师
2011.9-2014.12:武汉大学计算机学院软件工程国家重点实验室博士研究生
2015.3  至 今:    西北农林科技大学信息工程学院讲师

 

研究方向
计算机视觉、机器学习、数据降维

 

开设课程

  本科生:C语言程序设计、数值分析、计算机视觉

  研究生:最优化技术与数学建模、机器学习、智能计算前沿

 

学术成果

一、科研项目
    1. 杨凌示范区科技计划项目,2016NY-31,基于高光谱成像的苹果农残检测,2016/01-2017/12, 8万元,在研,主持
    2. 西北农林科技大学博士科研启动基金项目,2452015302,数据驱动的降维算法研究,2016/01-2018/12,20万元,在研,主持
    3. 国家自然科学基金面上项目,31671587,基于光合速率时序模型的设施环境调控目标寻优方法研究, 2017/01-2020/12,62万元,在研,参与
    4. 国家自然科学基金青年科学基金项目,61602388,基于线程级推测的非规则算法并行化研究, 2017/01-2019/12,20万元,在研,参与
    5.  西北农林科技大学基本科研业务费专项资金项目,2452015197,面向农业监测的高光谱图像特征降维,2015/08-2015/12,5万元,已结题,主持

二、发表论文
    [1] Jinrong He, Di Wu, Naixue Xiong, Chuansheng Wu. Orthogonal margin discriminant projection for dimensionality reduction[J]. The Journal of Supercomputing, 2016, 72(6):2095-2110. (DOI: 10.1007/s11227-015-1453-5)
    [2] Jinrong He, Yingzhou Bi, Lixin Ding, et al. Unsupervised feature selection based on decision graph[J]. Neural Computing & Applications, 2016: 1-13. DOI: 10.1007/s00521-016-2737-2
    [3] Jinrong He, Lixin Ding, Lei Jiang, Zhaokui Li and Qinghui Hu. Intrinsic dimensionality estimation based on manifold assumption[J], Journal of Visual Communication and Image Representation, 2014, 25(5): 740 –747.
    [4] 何进荣, 闭应洲, 丁立新, 刘斌, . 局部差异正则化的边界判别投影[J/OL]. 计算机学报, 2016 http://www.cnki.net/kcms/detail/11.1826.TP.20161205.2246.006.html
    [5] 何进荣, 丁立新, 崔梦天, 胡庆辉. 基于矩阵指数变换的边界Fisher 分析[J].计算机学报. 2014,37(10): 2196-2205.
    [6] 何进荣, 丁立新, 李照奎, 胡庆辉.基于边界判别投影的数据降维[J].软件学报, 2014, 25(4): 826−838.
    [7] Jinrong He, Lixin Ding, Lei Jiang and Li Huang. A flexible and efficient algorithm for regularized Marginal Fisher analysis[C]. Proceedings of the 2014 IEEE International Joint Conference on Neural Networks (IJCNN), 2014: 4198-4205.
    [8] Jinrong He, Lixin Ding, Lei Jiang and Ling Ma. Kernel ridge regression classification[C]. Proceedings of the 2014 IEEE International Joint Conference on Neural Networks (IJCNN), 2014: 2263-2267.
    [9] Guoliang He, Yong Duan, Yifei Li, Tieyun Qian, Jinrong He, Xiangyang Jia. Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data. Proceedings of International Conference on Tools With Artificial Intelligence, Vietri sul Mare, ITALY, 2015, 178-185. (DOI 10.1109/ICTAI.2015.38) (通讯作者)
    [10] Zhaokui Li, Yan Wang, Chunlong Fan, Jinrong He. Image preprocessing method based on local approximation gradient with application to face recognition. Pattern Analysis and Applications, 2017, 20(1): 101-112. (DOI: 10.1007/s10044-015-0470-6)
    [11] Zhaokui Li, Lixin Ding, Yan Wang, Jinrong He. Face Representation with Gradient Orientations and Euler Mapping: Application to Face Recognition [J]. International Journal of Pattern Recognition and Artificial Intelligence, 2014, 28(8):, 2014.
    [12] 李照奎, 丁立新, 王岩, 何进荣, 丁国辉. 基于差值局部方向模式的人脸特征表示. 软件学报, 2015, 26(11): 2912-2929.
    [13] 李照奎, 丁立新, 何进荣, 胡庆辉.基于图像分解的人脸特征表示[J].软件学报, 2014, 25:(9):2102-2119.
    [14] 胡庆辉, 丁立新, 何进荣. Lp范数约束的多核半监督支持向量机学习方法[J]. 软件学报, 2013, 24(11):2522-2534.
    [15] Wu D, Xiong N, He J, et al. Critical data points-based unsupervised linear dimension reduction technology for science data[J]. The Journal of Supercomputing, 2016, 72(8): 2962-2976. (DOI: 10.1007/s11227-015-1421-0)

 

在读学生

 

毕业学生

 

Name:Jinrong He

Professional Title:Lecturer

Office:No. 319, College of Information Engineering Building

Tel:18792809680

Email:hejinrong@nwafu.edu.cn

 

Personal Information
2003.9-2007.7: Wuhan University of Technology, Information and Computing Science, Bachelor
2007.9-2010.6: Wuhan University of Technology, Computational Mathematics, Master.
2010.6-2011.7: Wuhan University of Engineering Science, Teaching Assistant
2011.9-2014.12:Wuhan University, School of Computer, State Key Laboratory of Software Engineering, Ph.D.
2015.3 - Present: Northwest A & F University, College of Information Engineering, Lecturer

 

Research Directions
  Cmoputer Vision, Machine Learning, Dimensionality Reduction

 

Curriculum

  Undergraduates: C Programming Language, Numerical Analysis, Computer Vision

       Postgraduates: Optimization Techiniques and Mathematical Model, Machine Learning, Frontier of Intelligent Computation

 

Academic Achievement

1. Research projects
(1) Yangling Demonstration Zone Science and Technology Planning Project, 2016NY-31, Apple pesticide detection based on hyperspectral imaging, 2016/01-2017/12, 80,000 Yuan, in research, host
(2) Northwest A&F University Doctoral Research Startup Fund Project, 2452015302, The research on data-driven dimensionality reduction algorithms, 2016/01-2018/2, 200,000 Yuan, in research, host
(3) Northwest A&F University basic scientific research funds project, 2452015197, Hyperspectral feature reduction for agricultural monitoring, 2015/08-2015/12, 50,000 Yuan, has been completed, host

2.Publicatioins
[1] Jinrong He, Di Wu, Naixue Xiong, Chuansheng Wu. Orthogonal margin discriminant projection for dimensionality reduction[J]. The Journal of Supercomputing, 2016, 72(6):2095-2110. (DOI: 10.1007/s11227-015-1453-5)
[2] Jinrong He, Yingzhou Bi, Lixin Ding, et al. Unsupervised feature selection based on decision graph[J]. Neural Computing & Applications, 2016: 1-13. DOI: 10.1007/s00521-016-2737-2
[3] Jinrong He, Lixin Ding, Lei Jiang, Zhaokui Li and Qinghui Hu. Intrinsic dimensionality estimation based on manifold assumption[J], Journal of Visual Communication and Image Representation, 2014, 25(5): 740 –747.
[4] He JR,Bi YZ,Ding LX,Liu B. Local Variation Regularized Margin Discriminant Projection,Chinese Journal of Computers, 2016, Vol. 39: Online Publishing No.181
[5] He JR, Ding LX, Cui MT, Hu QH. Marginal Fisher analysis based on matrix exponential transformation[J]. Chinese Journal of Computers. 2014,37(10): 2196-2205. (in Chinese)
[6] He JR, Ding LX, Li ZK, Hu QH. Margin discriminant projection for dimensionality reduction. Ruan Jian Xue Bao/Journal of Software, 2014,25(4):826−838 (in Chinese). http://www.jos.org.cn/1000-9825/4571.htm
[7] Jinrong He, Lixin Ding, Lei Jiang and Li Huang. A flexible and efficient algorithm for regularized Marginal Fisher analysis[C]. Proceedings of the 2014 IEEE International Joint Conference on Neural Networks (IJCNN), 2014: 4198-4205.
[8] Jinrong He, Lixin Ding, Lei Jiang and Ling Ma. Kernel ridge regression classification[C]. Proceedings of the 2014 IEEE International Joint Conference on Neural Networks (IJCNN), 2014: 2263-2267.
[9] Guoliang He, Yong Duan, Yifei Li, Tieyun Qian, Jinrong He, Xiangyang Jia. Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data. Proceedings of International Conference on Tools With Artificial Intelligence, Vietri sul Mare, ITALY, 2015, 178-185. (DOI 10.1109/ICTAI.2015.38)
[10] Zhaokui Li, Yan Wang, Chunlong Fan, Jinrong He. Image preprocessing method based on local approximation gradient with application to face recognition. Pattern Analysis and Applications, 2017, 20(1): 101-112. (DOI: 10.1007/s10044-015-0470-6)
[11] Zhaokui Li, Lixin Ding, Yan Wang, Jinrong He. Face Representation with Gradient Orientations and Euler Mapping: Application to Face Recognition [J]. International Journal of Pattern Recognition and Artificial Intelligence, 2014, 28(8):, 2014.

 

Current Undergraduate
Null

 

Graduated Student
Null