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潘彬彬(应用数学)

来源:数学与统计学院     作者:     时间:2016/9/19 9:37:52  0次

潘彬彬

性别:男

出生年月:198310

办公地址:科技楼416

办公电话:26534582

邮箱:pbb@szu.edu.cn

 

教育经历:

2009/9 - 2012/6,中山大学,应用数学,博士
2006/9 2009/6,深圳大学,应用数学,硕士
2002/9 2006/6,深圳大学,应用数学,学士
2011/5 2012/2,美国The Methodist Hospital Research Institute,口腔与颌面手术部门,助理研究员

 

研究方向:

人工智能,机器学习,模式识别

 

科研项目与论文:

主持国家自然科学基金2

[1] 数学天元,非参数核方法的样本外扩展研究, 2016/1-2016/12

[2] 青年基金,基于数据集相似性的分类算法自动选择研究,2017/1-2019/12

 

TNNLSPRMICCAI等发表论文28篇,其中SCI收录12篇。代表作论文为

[1] Binbin Pan, Wen-Sheng Chen, Bo Chen, Chen Xu, Jianhuang Lai. Out-of-sample extensions for non-parametric kernel methods. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2015.2512277. (大类一区,小类一区)

[2] Binbin Pan, Wen-Sheng Chen, Chen Xu, Bo Chen. A novel framework for learning geometry-aware kernels. IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 5, pp. 939-951, 2016. (大类一区,小类一区)

[3] Binbin Pan, Wen-Sheng Chen*, Bo Chen, Chen Xu. Efficient Learning of Supervised Kernels with a Graph-Based Loss Function. Information Sciences, vol. 370-371, pp. 50-62, 2016. (大类二区,小类二区)

[4] Binbin Pan, Jianhuang Lai*, Lixin Shen. Ideal regularization for learning kernels from labels. Neural Networks, vol. 56, pp. 22-34, 2014. (大类二区,小类二区)

[5] Binbin Pan, Jianhuang Lai*, Wen-Sheng Chen. Nonlinear nonnegative matrix factorization based on Mercer kernel construction. Pattern Recognition, vol. 44, no. 10-11, pp. 2800-2810, 2011. (大类二区,小类二区)

[6] Binbin Pan, James J. Xia, Peng Yuan, Jaime Gateno, Horace Ho-Shing Ip, Qizhen He, Philip K. M. Lee, Ben Chow, Xiaobo Zhou. Incremental kernel ridge regression for the prediction of soft tissue deformations. 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012), 2012.10.01-05, pp. 99-106, Nice, France.

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