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业巧林

业巧林,男,南京林业大学副教授、博士、硕士生导师。


现任南京林业大学信息科学技术学院计算机工程系教师。近五年来,在模式识别、机器学习等领域发表论文近50 篇, 其中以一作身份在国际顶级SCI期刊IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics & Security, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, Pattern Recognition Letters, Neural Network, Neurocomputing等发表论文16(16篇影响因子总和大于50)。在<<计算机研究与发展>><<模式识别与人工智能>>等国内一流EI期刊上发表论文7 篇,在第26届神经网络等国际学术会议发表论文7篇。论文引用380+,单篇最高引用80+。获江苏省优秀硕士论文、南京理工大学优秀博士论文、华东区ACM卓越博士提名奖、淮安市优秀学术论文一等奖(排名第2)以及2010全国模式识别学术会议最佳学术论文奖(排名第4);于20137月以高层次人才身份被南京林业大学聘为副教授。正在主持国家自然科学基金、江苏省自然科学基金、江苏省高校自然科学基金、南京林业大学高层次人才基金项目各1项、主持江苏省重点实验室项目两项。曾主持研究生创新基金项目1项和优秀博士培养对象资助项目。作为重要人员参与了或正在参与4项国家自然科学基金和2项江苏省自然科学基金。担任国际SCI 学术期刊IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on CYBNeurocomputing, Expert Systems, Knowledge-based Systems, Knowledge and Information Systems 等期刊审稿人,美国IEEE会员

 

近几年发表、在审的(选择)学术论文
1. Qiaolin Ye, Henghao Zhao, Zechao Li, Xubing Yang, et al. “L1-norm Distance Minimization Based Fast RobustTwin Support Vector k-plane clustering”, IEEE Transactions on Neural Networks and Learning Systems, accept. (SCI, EI) (1
, IF: 6.108), Accept.

2. Qiaolin Ye, Jian Yang, Fan Liu, et al. “L1-norm Distance Linear Discriminant Analysis Based on An Effective Iterative Algorithm,” IEEE Transactions on Circuits and Systems for Video Technology, 2017, online. (SCI, EI) (2, IF:3.599)

3. Qiaolin Ye et al,”Can the Virtual Labels Obtained by Traditional LP Approaches be Well Encoded in WLR?” IEEE Transactions on Neural Networks and Learning Systems, Nov. 2016, 27 (7), 1-8. (SCI, EI) (1, IF: 6.108).

4.  Qiaolin Ye and Jiajia Jing, “Comments on “Joint Global and Local Structure Discriminant Analysis,” IEEE Transactions on Information Forensics & Security, 2016, 11(2), 1-1. (SCI, EI) (2, IF:4.332)

5. Qiaolin Ye, et al., “Flexible Linear Discriminant Analysis via Simultaneous Ls–Norm Maximization and Lp–Norm Minimization for Image Classification,” Submitted to IEEE Transactions on Circuits and Systems for Video Technology. (2, IF:3.599)

6. Qiaolin Ye, et al., “Effective Solution Algorithms of Rotational Invariant Feature Extraction Techniques,” Submitted to IEEE Transactions on CYB. (1, IF:7.384)

7.  He Yan, Qiaolin Ye (Corresponding author) et al. “Least squares twin bounded support vector machines based on L1-norm distance metric for classification, pattern recognition, minor revision (SCI, EI) (2, IF:4.582)

8. Rui Yan, Qiaolin Ye (Corresponding author) et al. “A Feature Selection Method for Projection Twin Support Vector Machine,” Neural Processing Letters, 2017, 2017 (3) :1-18. (SCI, EI) (3, IF:1.620)

9. Qiaolin Ye, “Recursive Dimension Reduction for Semisupervised Learning,” NeuroComputing, 2016,171, 1629–1636. (SCI, EI) (2, IF: 3.317)

10. Qiaolin Ye, Ning Ye, Tongming Yin, ”Fast orthogonal linear discriminant analysis with application to image classification,” Neurocomputing2015, vol.1582, pp.16-224. (SCI, EI) (2, IF: 3.317)

11. Qiaolin Ye, Ning Ye, Chunxia Zhao, Tongming Yin,Haofeng Zhang, “Flexible orthogonal semisupervised learning for dimension reduction with image classification,” NeuroComputing, 2014, vol.144, no.20, pp. 417–426. (SCI, EI) (2, IF: 3.317)

12. Qiaolin Ye, Chunxia Zhao, and Haofeng Zhang, “Recursive “concave–convex” Fisher Linear Discriminant with applications to face, handwritten digit and terrain recognition,”Pattern Recognition, 2012, vol.45, no.1, pp.54–65. (SCI, EI) (2, IF:4.582)

13. Qiaolin Ye, Chunxia Zhao, Shangbing Gao, and Hao Zheng “Weighted Twin Support Vector Machines with Local Information and Its Application,” Neural Networks, 2012, vol. 35, pp. 31–39. (SCI, EI) (2, IF:5.287)

14. Qiaolin Ye, Chunxia Zhao, Ning Ye, and Xiaobo Chen, “Localized Twin SVM via Convex Minimization,” NeuroComputing, 2010, 74, pp.580-587. (SCI, EI) (2, IF: 3.317)

15. Qiaolin Ye, Chunxia Zhao, Haofeng Zhang, and Ning Ye, “Distance Difference and Feature Selection Nonparallel Plane Classifier,” Expert Systems with Applications, 2011, vol. 38, pp. 9425–9433. (SCI, EI) (2, IF: 3.928)

16. Qiaolin Ye, Ning Ye, and Shangbing Gao,“Density Based Weighting Multisurface Least Squares Classification,” Knowledge and Information Systems, 2012, vol.33, no.2, pp. 289-308. (SCI, EI) (3区,IF: 2.004)
17. Qiaolin Ye, Chunxia Zhao, Ning Ye, and Yannan Chen, “Multi-Weight Vector Projection Support vector machines,” Pattern Recognition Letters, 2010, vol. 31, pp. 2006-2011. (SCI, EI) (3
,IF:1.995)
18. Qiaolin Ye, Ning Ye, and Tongming Yin, “Enhanced Multi-weight Vector Projection Support Vector Machine,” Pattern Recognition Letters, 2014, vol.42, pp. 91-100. (SCI, EI) (3
,IF:1.995)
19. Xiaobo Chen, Jian Yang, Qiaolin Ye, Jun Liang, “Recursive Projection Twin Support Vector Machine via Within-Class Variance Minimization,” Pattern Recognition, 2011, vol. 44, no. 10-11, pp. 2643-2655. (SCI, EI) (2
, IF:4.582)

20. Qiaolin Ye, Chunxia Zhao, and Ning Ye, “Least Squares Twin Support Vector Machine Classification via Maximum One-class With-in Class Variance,” Optimization Methods and Software, 2012, vol. 27, no. 1, pp. 53-69. (SCI, EI) (4)
21. Qiaolin Ye, Chunxia Zhao, Ning Ye, Hao Zheng, and Xiaobo Chen, “A Feature Selection Method for Nonparallel Plane Support Vector Machine Classification,” Optimization Methods and Software, 2012, vol. 27, no. 3, pp. 431-443. (SCI, EI) (4
)
20. Qiaolin Ye, Chunxia Zhao, Ning Ye, and Yannan Chen, “Iterative Support Vector Machine with Guaranteed Accuracy and Run Time,” Expert Systems, 2010, vol.27, no.5, pp. 338-348. (SCI, EI) (4
, IF:1.18)
22.
业巧林,赵春霞, 陈小波, “基于正则化的TWSVM特征选择算法,” 计算机研究与发展, 2011, vol.48, no. 6, pp.1029- 1037. (EI)
23. Qiaolin Ye, Chunxia Zhao, and Ning Ye, “Fast Orthogonal Linear Discriminant Analysis with Applications to Image Classification,” Proceedings of 2014 (the 26th) IEEE International Joint Conference on Neural Networks (IJCNN), 2014.
24. Qiaolin Ye, Chunxia Zhao, and Ning Ye, “Recursive Soft Margin Subspace Learning,”   Proceedings of 2014 (the 26th) IEEE International Joint Conference on Neural Networks (IJCNN), 2014.


正在主持和参与的科研课题
1.
南京林业大学高层次引进人才科研启动基金,项目负责人(正在进行)。
2
国家自然科学基金,项目负责人 (正在进行)。

3 江苏省自然科学基金面上项目,项目负责人(正在进行)。

4. 江苏省社会安全图像与视频理解重点实验室开放课题,项目负责人(正在进行)。

5江苏省物联网移动互联技术工程实验室开放课题(重点项目),项目负责人(正在进行)。

6. 江苏省高校自然科学基金,项目负责人 (已结题)。

7 国家自然科学基金面上项目,参与(合作单位项目负责人)(正在进行)。

 

获奖情况
1 2010
江苏省优秀硕士学位论文;
2 2012
年国家博士研究生奖学金;
3 2014
南京ACM卓越博士提名奖(华东区)
4 2010
年全国模式识别学术会议最佳论文奖励(4/4)
5 2012
淮安市自然科学论文一等奖(2/3);
6 2013
南京理工优秀博士学位论文;
7
指导学生参加2015年江苏省大学生计算机设计大赛获优胜奖;
8
指导学生参加2015年中国大学生计算机设计大赛获三等奖;
9
2015年毕业设计优秀指导教师。

10)指导学生参加2016年江苏省大学生计算机设计大赛获二等奖;
11
)指导学生参加2016年中国大学生计算机设计大赛获三等奖;

12)指导学生获2017年校优秀毕业设计。

13)获2016年校优秀教学成果1等奖。

 

联系方式
办公电话:025-85427464
通讯地址:江苏省南京市龙蟠路159 南京林业大学信息科学技术学院 210037