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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SCI论文近40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, IEEETransactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, Pattern Recognition, Pattern Recognition Letters, Neural Network, Neurocomputing等发表论文19篇(19篇影响因子总和大于75)。论文引用550+,单篇最高引用110+。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、2010全国模式识别学术会议最佳学术论文奖、2018梁希林业科技3等奖、2018江苏省青蓝工程学术带头人称号。入选2018六大高峰人才和校杰出青年人才培养计划。2017年指导本科生获江苏省优秀论文2等奖1项。正在或曾主持国家自然科学基金(包括子课题)3项,主持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。作为重要人员参与了4项国家自然科学基金和2项江苏省自然科学基金.指导省级以上大学生创新计划项目2项。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 Technology,IEEE Transactions on Cybernetics,Neurocomputing, Expert Systems, Knowledge-based Systems, Knowledge and Information Systems等期刊审稿人,担任江苏省计算机学会大数据专委会委员、江苏省模式识别专委会委员、江苏省人工智能与应用专委会委员,美国ACM,IEEE会员。


 近几年发表、正在修复的(选择)学术论文

1.Qiaolin Ye, Henghao Zhao, Zechao Li, Xubing Yang, et al: L1-norm Distance Minimization Based Fast Robust Twin Support Vector k-planeclustering,IEEE Trans. Neural Netw. Learning Syst. 2018, vol. 29, no.9, pp. 4494-4503. (IF: 7.982, 1区)

2. Qiaolin Ye, Jian YangTongming YinZhao Zhang: Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR? IEEE Trans. Neural Netw. Learning Syst. 2016, vol. 27, no.7, pp.1591-1598. (IF: 7.982, 1区)

3. Qiaolin Ye, Henghao ZhaoLiyong FuShanbing Gao: Underlying Connections BetweenAlgorithms for Nongreedy LDA-L1, IEEE Trans. ImageProcessing, 2017, vol. 27no.5, pp.2557-2559. (IF: 5.071, CCF 1区)

4. Qiaolin Ye, Jian YangFan LiuChunxia ZhaoNing YeTongming Yin: L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm. IEEE Trans. Circuits Syst. Video Techn.2018, vol.28, no.1, pp.114-129.(IF: 3.558, 2区)

5.Qiaolin Ye and Jiajia Jing: Comments on “Joint Global and Local Structure Discriminant Analysis, IEEE Transactions on Information Forensics & Security, 2016, vol.11, no. 2, pp. 1-1.(IF: 5.824, CCF 1区)

6. Qiaolin Ye, et al.: Effective Solution Algorithms ofRotational Invariant Feature Extraction Techniques,IEEE Transactions onCybernetics, under revision (IF: 8.803, 1区)

7. Dong Zhang, Yunlian Sun, Qiaolin Ye, Jinhui Tang: Recursive Discriminative Subspace Learning with L1-norm Distance Constraint, IEEE Transactions on Cybernetics, under revision (IF: 8.803, 1区)

8. Qiaolin Ye, et al.: Learning Robust Discriminant Subspace With L2,p+s-Norm Distance Maximization-Minimization, IEEE Transactions on Image Processing, under revision. (IF: 5.071, CCF 1区)

9.Qiaolin Ye, Liyong Fu, Zhao Zhang, Henghao Zhao and Meem Naiem: Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis, Neural Networks (NN), 2018, vol.105, pp.393-404. (IF: 7.197, 2区)

10. Zhao Zhang, Lei Jia, Mingbo Zhao, Qiaolin Ye, Min Zhang and Meng Wang: Adaptive Non-Negative Projective Semi-Supervised Learning for Inductive Classification, Neural Networks (NN), 2018, vol.00, pp.00-00. (IF: 7.197, 2区)

11.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. (IF: 7.197, 2区)

12.He Yan, Qiaolin Ye, Tian'an ZhangDong-Jun YuXia YuanYiqing XuLiyong Fu: Least squares twin bounded support vector machines based on L1-norm distance metric for classification. Pattern Recognition, 2018, vol.74, pp.434-447. (IF: 3.962, 2区)

13. Qiaolin Ye, Tongming YinShangbing GaoJiajia JingYu ZhangCui-Ping Sun: Recursive Dimension Reduction for semisupervised learning. Neurocomputing, 2016, vol. 171, pp.1629-1636.(IF: 3.241, 2区)

14. Qiaolin Ye, Ning Ye, Tongming Yin: Fast orthogonal linear discriminant analysis with application to image classification, Neurocomputing, 2015, vol.1582, pp.16-224. (IF: 3.241, 2区)

15. 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. (IF: 3.241, 2区)

16. 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.(IF: 3.241, 2区)

17. Qiaolin Ye, Chunxia Zhao, Ning Ye, and Xiaobo Chen: Localized Twin SVM via Convex Minimization, NeuroComputing, 2010, 74, pp.580-587. (IF: 3.241, 2区)

18. 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. (IF: 3.768, 2区)

19. Rui Yan, Qiaolin Ye (Corresponding author) et al.: A Feature Selection Method for Projection Twin Support Vector Machine,Neural Processing Letters, 2017 (3):1-18. (IF:1.787,3区)

20. 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. (IF: 2.247, 3区)

21. 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. (IF:1.952, 3区)

22. Qiaolin Ye, Ning Ye, and Tongming Yin: Enhanced Multi-weight Vector Projection Support Vector Machine, Pattern Recognition Letters, 2014, vol.42, pp. 91-100.(IF:1.952, 3区)
23. 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.  (IF: 3.962, 2区)

24. 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.(IF:1.837, 4区)

25. 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. (IF:1.837, 4区)

26. 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. (IF:1.43, 4区)

申请专利

1.基于capped-l1范数的TWSVM鲁棒性研究,业巧林,申请号: 201810469910.2.

2.基于L21范式距离度量的特征选择方法,业巧林,申请号: 201810522213.6.


主持的科研课题

1.国家自然科学青年基金项目,主持(2015-)

2.国家自然科学基金面上项目,主持(2019-)

3.国家自然科学基金面上项目(子任务),主持(2018-)

4.江苏省自然科学基金面上项目,主持(2017-)

5.江苏省青蓝工程学术带头人,主持(2018-)

6.江苏省高校自然科学基金,主持(2014-)

7.南京林业大学高层次引进人才科研启动基金,主持(2014-)

8.江苏省社会安全图像与视频理解重点实验室开放课题,主持(2016-)

9.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),主持(2017-)

 

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获2015年度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;

14指导本科生获2017年江苏省优秀毕业论文2等奖;

15 2018年入选校杰出青年人才计划;

16获2018江苏省青蓝工程学术带头人称号;

17获2018梁希林业科技3等奖(2/12);

18获2018六大高峰人才计划。

 

联系方式
办公电话:025-85427470
通讯地址:江苏省南京市龙蟠路159号 南京林业大学信息科学技术学院 (210037)