简介(Biography)：

潘彬彬，男，应用数学博士，现任深圳大学数学与统计学院助理研究员，研究领域为人工智能，机器学习，模式识别等，主持过2项国家自然科学基金，发表了论文40多篇。

研究兴趣(Research Interests)：

人工智能，机器学习、模式识别

主讲课程(Teaching Courses)：

高等数学，流形学习理论，最优化方法

科研项目 (Research Projects)：

主持国家自然科学基金2项

· 数学天元，非参数核方法的样本外扩展研究，2016/1-2016/12

· 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

学术成果(Publications)

部分期刊论文Some Selected Journal Papers

• 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. (accepted, doi: 10.1109/TNNLS.2015.2429682)

• Wen-Sheng Chen, Xiuli Dai,Binbin Pan*, Taiquan Huang. A novel discriminant criterion based on feature fusion strategy for face recognition. Neurocomputing, vol. 159, pp. 67-77, 2015.

• Bo Chen, Qing-Hua Zou, Wen-Sheng Chen*,Binbin Pan. A novel adaptive partial differential equation model for image segmentation. Applicable Analysis, vol. 93, no. 11, pp. 2440-2450, 2014.

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

• 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.

• Binbin Pan, Jianhuang Lai*, Pong Chi Yuen. Learning low-rank Mercer kernels with fast-decaying spectrum. Neurocomputing, vol. 74, no. 17, pp. 3028-3035, 2011.

• 潘彬彬，陈文胜，徐晨*. 基于分块非负矩阵分解人脸识别增量学习，计算机应用研究，2009年，26卷，1期，117-120页.

• WenSheng Chen*,Binbin Pan, Bin Fang, Ming Li, Jianliang Tang. Incremental nonnegative matrix factorizationfor face recognition. Mathematical Problems in Engineering, vol. 2008, 17 pages, 2008.

部分会议论文Some Selected Conference Papers

• Yang Zhao, Wen-Sheng Chen,Binbin Pan*, Bo Chen. Nonnegative compatible kernel construction for face recognition. 10th Chinese Conference on Biometric Recognition (CCBR 2015), 2015.11.13-15, Tianjin, China. (accepted, doi: 10.1007/978-3-319-25417-3_3)

• Yugao Li, Wen-Sheng Chen*,Binbin Pan, Yang Zhao, Bo Chen. An efficient non-negative matrix factorization with its application to face recognition. 10th Chinese Conference on Biometric Recognition (CCBR 2015), 2015.11.13-15, Tianjin, China. (accepted, doi: 10.1007/978-3-319-25417-3_14)

• Xiuli Dai, Wen-Sheng Chen,Binbin Pan*, Bo Chen. A novel cross iterative selection method for face recognition. 9th Chinese Conference on Biometric Recognition (CCBR 2014), 2014.11.7-9, pp. 40-49, Shenyang, China.

• Yang Zhao, Wen-Sheng Chen*,Binbin Pan, Bo Chen. Supervised kernel construction for unsupervised PCA on face recognition. 6th Chinese Conference on Pattern Recognition (CCPR 2014), 2014.11.17-19, pp. 351-359, Changsha, China.

• Binbin Pan, Wen-Sheng Chen. Learning geometry-aware kernels in a regularization framework. 15th International Conference on Computer Analysis of Images and Patterns (CAIP 2013), 2013.8.27-29, pp. 352-359, York, UK.

• Meng Chen, Wen-Sheng Chen*, Bo Chen,Binbin Pan. Non-negative sparse representation based on block NMF for face recognition. 8th Chinese Conference on Biometric Recognition (CCBR 2013), 2013.11.16-17, pp. 26-33, Jinan, China.

• Binbin Pan, Jianhuang Lai, Lixin Shen. Learning kernels from labels with ideal regularization. 21st International Conference on Pattern Recognition (ICPR 2012), 2012.11.11-15, pp. 505-508, Tsukuba, Japan.

• 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.

• Wen-Sheng Chen,Binbin Pan, Bin Fang, Jin Zou. A novel constraint non-negative matrix factorization criterion based incremental learning in face recognition. IEEE International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2008), 2008.08.30-31, pp. 292-297, Hong Kong, China.