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Pan Binbin

  • Educational level:Ph.D. and above

  • Professional titles: Associate Professor

  • Telephone:26534582

  • Email:pbb@szu.edu.cn

  • Address:Room 416,Huixing Building

Educational level Professional titles Associate Professor
Professional titles 26534582 Email pbb@szu.edu.cn
Address Room 416,Huixing Building Personal Profile
Educational experience Work experience
Research Field Machine learning, pattern recognition, image analysis Honors obtained
Academic Programs Scientific research [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.
[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.
[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.
[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.
[5]Binbin Pan, Jianhuang Lai*, Lixin Shen. Ideal regularization for learning kernels from labels. Neural Networks,vol. 56, pp. 22-34, 2014.

Personal Profile

潘彬彬，男，博士。2012年6月获中山大学应用数学博士学位，于2011年5月至2012年2月在美国The Methodist   Hospital Research Institute研究所担任助理研究员。现任深圳大学数学与统计学院副教授。他的研究领域主要为  机器学习的理论和算法，并应用于模式识别、图象分析等。在学术期刊和学术会议IEEE Transactions on Neural   Networks and Learning Systems、MICCAI、Pattern Recognition、Neural Networks、Information Sciences等发  表学术论文60多篇，主持国家青年科学基金和数学天元青年基金。

Educational experience

Work experience

Research Field

  • Machine learning, pattern recognition, image analysis

Honors obtained

Academic Programs

Scientific research

  • [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. [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. [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. [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. [5]Binbin Pan, Jianhuang Lai*, Lixin Shen. Ideal regularization for learning kernels from labels. Neural Networks,vol. 56, pp. 22-34, 2014.

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