刘光灿

 

基本信息

性  别:
出生年月:

1982年5月

民  族:

电  话:

15850713405

办公时间:

8:00 到 5:00

E - mail:

gcliu@nuist.edu.cn

专  业: 计算机应用技术
职  务:
   
主页网址:

办公地点:

3号学科楼C306

工作单位:

信息与控制学院

讲授课程:

招生方向:

学  院: 信息与控制学院
职  称: 教授/高级
   
教育与工作经历

教育经历:
 
2000.9 至 2004.7         上海交通大学      数学与应用数学            本科
2004.9  至  2010.7         上海交通大学      计算机科学与技术        博士
 
工作经历:
 
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                  南京信息工程大学                                                         教授

学术与社会兼职

担任国际SCI期刊Neurocomputing的编委、10多个国际主流会议的程序委员会委员、及20余种国际主流期刊的论文评审专家。

 

研究领域与方向

模式识别、计算机视觉、图像处理、数据挖掘、多媒体

主要项目、论文、专著和专利

主要项目:


[1] NSFC 61502238, 国家自然科学基金青年项目, 2016 - 2018, 24.4万

[2] NSFC 61622305, 国家自然科学基金优秀青年基金项目, 2017 - 2019, 150万

[3] BK20160040, 江苏省自然科学基金杰出青年基金项目, 2017 - 2019, 100万 


主要论文:

[1] Guangcan Liu, Qingshan Liu, and Ping Li. Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI),2016.


[2] Guangcan Liu and Ping Li. Low-Rank Matrix Completion in the Presence of High Coherence. IEEE Transactions on Signal Processing (T-SP), 2016.


[3] Guangcan Liu, Xuan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan. A Deterministic Analysis for LRR. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 38, no.3, pp. 417-430, 2016.


[4] Guangcan Liu, Shiyu Chang, and Yi Ma. Blind Image Deblurring Using Spectral Properties of Convolution Operators. IEEE Transactions on Image Processing (T-IP), vol. 23, no.12, pp. 5047-5056, 2014.


[5] Guangcan Liu and Ping Li, Recovery of Coherent Data via Low-Rank Dictionary Pursuit,  Advances in Neural Information Processing Systems (NIPS), pp. 1206-1214, Montreal, Canada,2014.


[6] Guangcan Liu, Zhouchen Lin, Shuicheng Yan,Ju Sun, Yong Yu, and Yi Ma. Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 35, no. 1, pp.171-184, 2013.


[7] Guangcan Liu and Shuicheng Yan. Active Subspace: Towards Scalable Low-Rank Learning. Neural Computation, vol. 24, no. 12, pp. 3371-3394, 2012.


[8] Guangcan Liu, Huan Xu, and Shuicheng Yan. Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. International conference on Artificial Intelligence and Statistics (AISTATS), vol. 22, pp. 703-711, Canary Islands, Spain, 2012.


[9] Guangcan Liu and Shuicheng Yan. Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction. International Conference on Computer Vision (ICCV), pp. 1615-1622, Barcelona, Spain, 2011.


[10] Guangcan Liu, Zhouchen Lin, Yong Yu, and Xiaoou Tang , Unsupervised Object Segmentation with a Hybrid Graph Model (HGM), IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol.32, no.5, pp.910-924, 2010.


[11] Guangcan Liu, Zhouchen Lin, and Yong Yu, Robust Subspace Segmentation by Low-Rank Representation. International Conference on Machine Learning (ICML), pp. 663-670, Haifa, Isreal, June 2010.


[12] Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang. Radon Representation Based Feature Descriptor for Texture Classification; IEEE Transactions on Image Processing (T-IP), vol. 18, no. 5, pp. 921-928, 2009.


[13] Guangcan Liu, Zhouchen Lin, Yong Yu. Multi-Output Regression on the Output Manifold. Pattern Recognition (PR), vol.42, no.11, pp. 2737-2743, 2009.


[14] Guangcan Liu, Zhouchen Lin, Xiaoou Tang, Yong Yu. A Hybrid Graph Model for Unsupervised Object Segmentation, International Conference on Computer Vision (ICCV), pp. 1-8, Rio de Janeiro, Brazil,  2007.


[15] Guangcan Liu, Yong Yu, Xing Zhu. A Learning-Based Term-weighting Approach for Information Retrieval; American Association for Artificial Intelligence (AAAI), vol. 20, no. 3, pp. 1418-1423, Pittsburgh, USA, 2005.

获奖情况

1、中华人民共和国教育部自然科学奖、二等奖 (排序2),2016
2、上海市研究生优秀论文成果奖 (排序1), 2015
3、微软学者,2006

其它学术成果

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