2005.7 - 2009.7 中国科学院自动化研究所模式识别国家重点实验室 博士 2002.9 - 2005.3 上海交通大学电子工程系 硕士 1998.9 - 2002.7 南京邮电大学计算机系 本科

2013.8-至今： 南京信息工程大学 信息与控制学院 教授 2013.2–2013.8：美国康奈尔大学 统计系 博士后 2011.8–2013.1：美国罗格斯大学 统计系 博士后 2009.7-2011.7：新加坡国立大学 电子与计算机工程系 博士后

1.指数族图模型方法及其在图像大数据中的应用研究国家青年自然科学基金 28万 2015-2017 2. 非参数指数族图模型研究 江苏省自然科学基金 20万 2014-2017学术著作RanHe, Bao-Gang Hu, Xiao-Tong Yuan,Liang Wang,RobustRecognition via Information Theoretic Learning,Springer, Switzerland, 2014

[1]Xiao-Tong Yuan, Tong Zhang,"Truncated Power Method for Sparse Eigenvalue Problems", Journal of Machine Learning Research,14: 899-925,2013. [2]Xiao-Tong Yuan, Shuicheng Yan,"Forward Basis Selection for Pursuing Sparse Representations Over aDictionary",IEEE Transactions on Pattern Analysis and MachineIntelligence,35(12): 3025-3036, 2013. [3]Xiao-Tong Yuan, Tong Zhang,"Partial Gaussian Graphical Model Estimation", IEEE Transactions on Information Theory, 60(3):1673-1687, 2014.[4]Xiao-Tong Yuan, Shuicheng Yan,“Visual Classification with Multi-Task Joint Sparse Representation”, IEEE Transactions on Image Processing,21(10): 4349-4360, 2012.[5]Xiao-Tong Yuan, Ping Li， Tong Zhang, “Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization”, InternationalConference on Machine Learning (ICML), 2014.[6]Xiao-Tong Yuan, Qingshan Liu,“Newton Greedy Pursuit: aQuadratic Approximation Method for Sparsity-Constrained Optimization”, IEEE International Conference on ComputerVision and Pattern Recognition (CVPR),2014.[7]Xiao-Tong Yuan, Bao-Gang Hu,Robust feature extraction via information theoretic learning, International Conference on Machine Learning(ICML), 2009.[8]Xiao-Tong Yuan, Ping Li, SparseAdditive Subspace Clustering, EuropeanConference on Computer Vision (ECCV), 2014. [9]Xiao-Tong Yuan, Bao-Gang Hu,Ran He:Agglomerative Mean-Shift Clustering. IEEE Transactions on Knowledge and Data Engingeering, 24(2):209-219 (2012).[10]Xiao-Tong Yuan, Stan Z. Li:Half Quadratic Analysis for Mean Shift: with Extension to A Sequential DataMode-Seeking Method. IEEE International Conference on Computer Vision(ICCV), 2007: 1-8.[11]Xiao-Tong Yuan, Bao-Gang Hu,Ran He:Agglomerative Mean-Shift Clustering via Query Set Compression. SIAM International Conference on Data Mining (SDM), 2009:221-232.[12]Xiao-Tong Yuan, Stan Z. Li:Stochastic gradient kernel density mode-seeking. IEEE International Conference on Computer Vision and PatternRecognition (CVPR),2009: 1926-1931.