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各系部老师-潘彬彬

潘彬彬

姓名: 潘彬彬

职称: 助理研究员

性别: 男

教育程度: 博士以上

电话: 26534582

邮箱: pbb@szu.edu.cn

地址: 科技楼416

简介:

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

工作经历:

研究领域:

人工智能,机器学习,模式识别

获得荣誉:

教学课程:

科研成果:

科研项目与论文:
主持国家自然科学基金2项
[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
已发表论文40多篇,代表作如下
[1] Binbin Pan, Huaiqin Dong, Wen-Sheng Chen, Chen Xu. Semiparametric Clustering: A Robust Alternative to Parametric Clustering. IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 9, pp. 2583-2597, 2019. (大类一区,小类一区)
[2] 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, vol. 28, no. 2, pp. 334-345, 2017. (大类一区,小类一区)
[3] 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)
[4] 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,小类一区)
[5] 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)
[6] 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)

地址:中国广东深圳大学科技楼四层

邮编:518060

电话:0755-26534791