教育背景,工作簡歷,科研項目,學術著作,代表論文,獲獎情況,
教育背景
2005.7 - 2009.7 中國科學院自動化研究所模式識別國家重點實驗室 博士
2002.9 - 2005.3 上海交通大學電子工程系 碩士
1998.9 - 2002.7 南京郵電大學計算機系 本科
工作簡歷
2013.8-至今： 南京信息工程大學 信息與控制學院 教授
2013.2–2013.8：美國康奈爾大學統計系 博士後
2011.8–2013.1：美國羅格斯大學統計系 博士後
2009.7-2011.7：新加坡國立大學 電子與計算機工程系博士後
科研項目
1. 指數族圖模型方法及其在圖像大數據中的套用研究 國家青年自然科學基金 28萬 2015-2017
2. 非參數指數族圖模型研究 江蘇省自然科學基金 20萬 2014-2017
學術著作
Ran He, Bao-Gang Hu, Xiao-Tong Yuan, Liang Wang, Robust Recognition via Information Theoretic Learning, Springer, Switzerland, 2014
代表論文
[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.
獲獎情況
江蘇省高層次創新創業人才 2014
美國計算機協會(ACM) Computing Reviews’ Best of 2012 list 優秀論文獎 2012
Visual Object Classes Challenge (VOC 2010) 國際競賽圖像目標分類組第1名 2010
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2014) 青年學者資助計畫 2014
