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潘彬彬
系部:信息与计算科学系
职称:讲师
教育程度:博士以上
[基本信息]

性别:男  出生日期:  联系电话:  邮箱:pbb@szu.edu.cn  联系地址:科技楼416

[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
[科研方向]
人工智能,机器学习,模式识别
[承担教研项目情况]
深圳大学新引进教师科研启动项目,人脸识别中的深度核机器学习,项目批准号 00035693,主持,2013/1-2013/12,6万元
国家自然科学基金——数学天元青年基金,非参数核方法的样本外扩展研究,项目批准号 11526145,主持,2016/1-2016/12,3万元
深圳大学数学与统计学院高水平大学建设科研项目,分类算法的自动选择研究,项目批准号 201628,主持,2016/1-2017/12,6万元
国家自然科学基金——青年科学基金,基于数据集相似性的分类算法自动选择研究,项目批准号 61602308,主持,2017/1-2019/12,16万元
[近年承担教学课程情况]
高等数学A,模式识别,流形学习理论,最优化计算方法
[近期发表论文情况]
已发表论文28篇,其中SCI收录12篇。*表示通讯作者,^表示深大研究生

期刊论文
- 董怀琴^,潘彬彬*,陈文胜,徐晨. 基于增量非负矩阵分解的自适应背景模型,深圳大学学报理工版,2016年,33卷,5期,71-76页.
- 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)
- 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)
- Wen-Sheng Chen, Yang Zhao^, Binbin Pan*, Bo Chen. Supervised Kernel Nonnegative Matrix Factorization for Face Recognition. Neurocomputing, vol. 205, pp. 165-181, 2016. (大类三区,小类三区)
- Binbin Pan, Guangming Zhang, James J. Xia, Peng Yuan, Horace H.S. Ip, Qizhen He, Philip K.M. Lee, Ben Chow, Xiaobo Zhou*. Prediction of soft tissue deformations after CMF surgery with incremental kernel ridge regression. Computers in Biology and Medicine, vol. 75, pp. 1-9, 2016. (大类三区,小类四区)
- 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)
- Wen-Sheng Chen, Xiuli Dai^, Binbin Pan*, Yuan Yan Tang. Semi-supervised discriminant analysis method for face recognition. International Journal of Wavelets Multiresolution and Information Processing, vol. 13, no. 6, 22 pages, 2015. (大类四区,小类四区)
- 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. (大类三区,小类三区)
- 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. (大类三区,小类四区)
- 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)
- 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)
- 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. (大类三区,小类三区)
- 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.
- Wen-Sheng Chen*, Binbin Pan, Bin Fang, Ming Li, Jianliang Tang. Incremental nonnegative matrix factorization for face recognition. Mathematical Problems in Engineering, vol. 2008, 17 pages, 2008. (大类四区,小类三区)

会议论文:
- Qian Wang^, Wen-Sheng Chen*, Binbin Pan, Yugao Li^. A novel nonnegative matrix factorization algorithm for multi-manifold learning. 11st Chinese Conference on Biometric Recognition (CCBR 2016), 2016.10.14-16, pp. 575-582, Chengdu, China.
- Wen-Sheng Chen, Yugao Li^, Binbin Pan*, Bo Chen. Incremental learning based on block sparse kernel nonnegative matrix factorization. International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2016), 2016.07.10-13, pp. 219-224, Jeju Island, South Korea.
- Wen-Sheng Chen, Yugao Li^, Binbin Pan*, Chen Xu. Block kernel nonnegative matrix factorization and its application to face recognition. International Joint Conference on Neural Networks (IJCNN 2016), 2016.07.24-29, pp. 3446-3452, Vancouver, Canada.
- Bingjiang Qiu^, Wensheng Chen, Bo Chen*, Binbin Pan. A new parallel MRI image reconstruction model with elastic net regularization. International Joint Conference on Neural Networks (IJCNN 2016), 2016.07.24-29, pp. 3426-3432, Vancouver, Canada.
- Wen-Sheng Chen, Yang Zhao^, Binbin Pan, Chen Xu. Nonlinear nonnegative matrix factorization based on discriminant analysis with application to face recognition. 11th International Conference on Computational Intelligence and Security (CIS2015), 2015.12.19-20, pp. 191-194, Shenzhen, China.
- Yang Zhao^, Wen-Sheng Chen, Binbin Pan*, Bo Chen. Non-negative compatible kernel construction for face recognition. 10th Chinese Conference on Biometric Recognition (CCBR 2015), 2015.11.13-15, pp. 19-26, Tianjin, China.
- 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, pp. 112-119, Tianjin, China.
- 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.
[其他获奖专利等情况]
2015/12,深圳大学高水平论文奖 二等奖.
2016/12,深圳大学高水平论文奖 一等奖,三等奖.
[其他]
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