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Pan Binbin

  • Educational level:

  • 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

Pan Binbin, male, doctor. She received her National Sun Yat-sen University Applied Mathematics Doctorate in June 2012 and served as an associate Research fellow at The Methodist Hospital Research Institute from May 2011 to February 2012. He is an associate professor at the School of Mathematics and statistics of the Shenzhen University. His main research area is machine learning theory and algorithms, and applied to pattern recognition, image analysis and so on. He has published more than 60 papers in academic journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems, MICCAI, Pattern Recognition, Neural Networks, Information Sciences, and chaired the National Youth Science Foundation of China and the Tianyuan Youth Foundation of mathematics.

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.

Copyright School of Mathematical Sciences，Shenzhen University

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