个人简历

现任南京林业大学信息科学技术学院计算机工程系教师。近年来，在国际顶级SCI期刊IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, Pattern Recognition, Neural Networks等发表SCI论文近40+篇。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。

研究领域

""模式识别、机器学习、人工智能及其在林业上的应用""""

近期论文

Qiaolin Ye, Henghao Zhao, Zechao Li, Xubing Yang, et al: L1-norm Distance Minimization Based Fast Robust Twin Support Vector k-plane clustering, IEEE Trans. Neural Netw. Learning Syst. 2018, vol. 29, no.9, pp. 4494-4503. (IF: 11.68, 1区，top期刊)\r
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Qiaolin Ye, Jian Yang, Tongming Yin, Zhao 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: 11.68, 1区，top期刊)\r
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Qiaolin Ye, et al.: Nonpeaked Discriminant Analysis, IEEE Trans. Neural Netw. Learning Syst., Minor Revision. (IF: 11.68, 1区，top期刊)\r
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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: 6.211, 1区(计算机类)，top期刊)\r
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Qiaolin Ye, Henghao Zhao, Liyong Fu, Shanbing Gao: Underlying Connections Between Algorithms for Nongreedy LDA-L1, IEEE Trans. Image Processing, 2017, vol. 27no.5, pp.2557-2559. (IF: 6.79, 2区，CCF A类)\r
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Qiaolin Ye, Jian Yang, Fan Liu, Chunxia Zhao, Ning Ye, Tongming 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: 4.046, 2区)\r
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Dong Zhang, Yunlian Sun, Qiaolin Ye, Jinhui Tang: Recursive Discriminative Subspace Learning with L1-norm Distance Constraint, IEEE Transactions on Cybernetics, 2018, pp. 1 -14. (IF: 10.39, 1区, top期刊)\r
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Qiaolin Ye, Liyong Fu, Zhao Zhang, Henghao Zhao and Meem Naiem: Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis, Neural Networks , 2018, vol.105, pp.393-404. (IF: 5.785, 1区，top期刊)\r
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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: 5.785, 1区，top期刊)\r
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Henghao Zhao, Qiaolin Ye (Corresponding Author), Flexible Robust Non-greedy Discriminant Subspace Learning, Neural Networks, 2019. (IF: 5.785, 1区，top期刊)\r
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Chunyan Wang, Qiaolin Ye (co-first author), Ning Ye, Peng Luo, and Liyong Fu: Robust Capped L1-norm Twin Support Vector Machine, Neural Networks , 2019. (IF: 5.785, 1区，top期刊)\r
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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.108,pp. 128-145. (IF: 5.785, 1区，top期刊)\r
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Yakai Lei, Liyong Fu, David LR Affleck, Andrew S Nelson, Chenchen Shen, Mengxi Wang, Jingbiao Zheng, Qiaolin Ye, Guowei Yang, Additivity of nonlinear tree crown width models: Aggregated and disaggregated model structures using nonlinear simultaneous equations, Forest ecology and management. (IF: 3.126, 1区, top期刊)\r
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He Yan, Qiaolin Ye(Corresponding Author), Tian'an Zhang, Dong-Jun Yu, Xia Yuan, Yiqing Xu, Liyong 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:5.896, 2区)\r
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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:5.896, 2区)\r
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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:5.896, 2区)