教育經歷
2000.9 至 2004.7 上海交通大學 數學與套用數學 本科
2004.9 至 2010.7 上海交通大學 計算機科學與技術 博士
工作經歷
2010.9 至 2011.12 National University of Singapore Research Fellow
2012.2 至 2013.2 University of Illinois at Urbana-Champaign Research Associate
2013.5 至 2014.7 Cornell University Research Associate
2014.8 至 今 南京信息工程大學 校聘教授
社會兼職
曾經擔任International Conference on Machine Learning (2011、2012、2013和2014年度)、Neural Information Processing Systems (2012、2013和2014年度)、IEEE Conference on Computer Vision and Pattern Recognition (2013和2014年度)、Europe Conference on Computer Vision (2014年度), Asian Conference on Computer Vision (2014年度), International Conference on Data Mining (2014年度) 的後評審稿人(Meta-Reviewer，對論文是否接收有較大話語權) 。自2010年起，申請人經常性擔任如下國際會議審稿人(Reviewer)： Neural Information Processing Systems (NIPS),? International Conference on Machine Learning (ICML)，International Conference on Computer Vision (ICCV), IEEE Conference on Computer Vision and Pattern Recognition (CVPR)， Europe Conference on Computer Vision (ECCV), Asian Conference on Computer Vision (ACCV) , International Conference on Pattern Recognition (ICPR), International Conference on Image Processing (ICIP)
研究方向
模式識別、計算機視覺、圖像處理、數據挖掘、多媒體
主要論文
[1] A Learning-Based Term-weighting Approach for Information Retrieval; Guangcan Liu, Yong Yu, Xing Zhu; American Association for Artificial Intelligence (AAAI); 2005, vol. 20, no. 3, pp. 1418-1423.
[2] A Hybrid Graph Model for Unsupervised Object Segmentation; Guangcan Liu, Zhouchen Lin, Xiaoou Tang, Yong Yu; International Conference on Computer Vision (ICCV); 2007, pp. 1-8.
[3] Radon Representation Based Feature Descriptor for Texture Classification; Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang; IEEE Transactions on Image Processing (TIP); 2009, vol. 18, no. 5, pp. 921-928.
[4] Multi-Output Regression on the Output Manifold; Guangcan Liu, Zhouchen Lin, Yong Yu. Pattern Recognition (PR); 2009, vol.42, no.11, pp. 2737-2743.
[5] Unsupervised Object Segmentation with a Hybrid Graph Model (HGM); Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang; IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI); 2010, vol.32, no.5, pp.910-924.
[6] Robust Subspace Segmentation by Low-Rank Representation; Guangcan Liu, Zhoucheng Lin, Yong Yu; International Conference on Machine Learning (ICML); 2010, pp. 663-670.
[7] Saliency Detection by Multi-Task Sparsity Pursuit; Congyan Lang, Guangcan Liu, Shuicheng Yan; IEEE Transactions on Image Processing (TIP); 2011, vol.21, no.3, pp. 1327-133.
[8] Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction; Guangcan Liu, Shuicheng Yan; International Conference on Computer Vision (ICCV); 2011, pp. 1615-1622.
[9] Multi-task Low-rank Affinity Pursuit for Image Segmentation; Bingchen, Guangcan Liu, Shuicheng Yan; International Conference on Computer Vision (ICCV); 2011, pp. 2439-2447.
[10] Inductive Robust Principal Component Analysis; Bingkun Bao, Guangcan Liu, Changsheng Xu, Shuicheng Yan; IEEE Transactions on Image Processing (TIP); 2012, vol. 21, no. 8, pp. 3794-3800.
