袁晓彤 - 南京信息工程大学

个人简介

教育背景 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工作简历 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

研究领域

机器学习与计算机视觉

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[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 a Dictionary", IEEE Transactions on Pattern Analysis and Machine Intelligence,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”, International Conference on Machine Learning (ICML), 2014. [6] Xiao-Tong Yuan, Qingshan Liu, “Newton Greedy Pursuit: a Quadratic Approximation Method for Sparsity-Constrained Optimization”, IEEE International Conference on Computer Vision 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, Sparse Additive Subspace Clustering, European Conference 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 Data Mode-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 Pattern Recognition (CVPR),2009: 1926-1931.