基本介紹
- 中文名：潘彬彬
- 學位/學歷：博士
- 職業：教師
- 專業方向：人工智慧，機器學習，模式識別
- 任職院校：深圳大學
個人經歷,研究方向,學術成果,
個人經歷
教育經歷：
2009/9 - 2012/6，中山大學，套用數學，博士
2006/9 – 2009/6，深圳大學，套用數學，碩士
2002/9 – 2006/6，深圳大學，套用數學，學士
2011/5 – 2012/2，美國The Methodist Hospital Research Institute，口腔與頜面手術部門，助理研究員
研究方向
人工智慧，機器學習，模式識別
學術成果
科研項目與論文：
主持國家自然科學基金2項
[1] 數學天元，非參數核方法的樣本外擴展研究， 2016/1-2016/12
[2] 青年基金，基於數據集相似性的分類算法自動選擇研究，2017/1-2019/12
已發表論文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. (大類一區，小類一區)
[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. (大類一區，小類一區)
[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. (大類一區，小類一區)
[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. (大類二區，小類一區)
[5] Binbin Pan, Jianhuang Lai*, Lixin Shen. Ideal regularization for learning kernels from labels. Neural Networks, vol. 56, pp. 22-34, 2014. (大類二區，小類二區)
[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. (大類二區，小類二區)
