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南京信息工程大学计算机与软件学院导师教师师资介绍简介-刘青山
本站小编 Free考研考试/2021-03-28
其他栏目
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
科学研究
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手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
研究领域
当前位置 : 中文主页 >> 科学研究 >> 研究领域
手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
论文成果
当前位置 : 中文主页 >> 科学研究 >> 论文成果
共0条0/0
手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
专利
当前位置 : 中文主页 >> 科学研究 >> 专利
共0条0/0
手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
著作成果
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其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
科研项目
当前位置 : 中文主页 >> 科学研究 >> 科研项目
共0条0/0
手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
教学研究
当前位置 : 中文主页 >> 教学研究
手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
教学资源
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其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
授课信息
当前位置 : 中文主页 >> 教学研究 >> 授课信息
手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
教学成果
当前位置 : 中文主页 >> 教学研究 >> 教学成果
共0条0/0
手机版
同专业博导
欢迎您访问我们的网站，您是第 位访客
其他栏目
基本信息
教师姓名：刘青山
职称：教授
所在单位：计算机与软件学院
学术荣誉：
国家杰出/优秀青年基金获得者
国家级教学科研创新团队
个人简介
学习与工作经历：教育背景
2000.4-2003.3 中科院自动化所模式识别国家重点实验室 博士生
1997.9-2000.3 东南大学自动化系 硕士生
1993.9-1997.7 中国纺织大学（现东华大学）自动化系 本科生
工作经历
2011.8-至今 南京信息工程大学 信息与控制学院 教授
2014.1-至今江苏省大数据分析技术重点实验室 主任
2006.4-2011.8 先后任美国Rutgers计算机系访问****、博士后研究员、助理研究教授
2004.6-2005.4 香港中文大学讯息工程系访问****
2003.4-2005.12 先后任中科院自动化所模式识别国家重点实验室助理研究员、副研究员
社会兼职：• 国际杂志 《NeuroComputing》 编委 （2008-）
• 国际杂志《Signal Processing》编委（2013-）
• 国际杂志 《IEEE Transaction on Multimedia》，特刊客座编委，2011
• 国际杂志 《Computer Vision and Image Understanding》, 特刊客座编委， 2008
• 国际杂志 《Pattern Recognition Letters》，特刊客座编委，2008
• 中国Vision And Learning SEminar （VALSE）青年论坛的发起人和组织人
•Program Chair of CCCV 2017
•Organization Chair of China 2017
• Demos/Exhibitions Chairs of IEEE Intl. Conf. on Automatic Face and Gesture Recognition 2013
• Public Chair of Pacific-Rim Conf. on Multimedia 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2013
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2011
• Area Chair of Pacific-Rim Symposium on Image and Video Technology 2010
• Co-Chair of Int'l Workshop on Video-Oriented Object and Event Classification with IEEE Int'l Conf. on Computer Vision 2009
• Area chair of IEEE International Conference on Systems, Man and Cybernetics 2008
• Co-Organization Chair of special session track: Video based Object and Event Analysis in IEEE International Conference on Multimedia & Expo 2007
• Co-Organization chair of Asia-Pacific Workshop on Visual Information Processing 2006
• Reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Information Forensics and Security, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, Pattern Recognition Letters, Signal Processing, Medical Image Analysis, NeuroComputing, Information Sciences, and so on
• Program Committee or Reviewer of ICCV, CVPR, PAKDD, ECCV, ICPR,ICASSP, CGIV, ICME, AMFG, ACCV, and so on
研究领域：研究方向： 图像理解、视频分析、模式识别、机器学习等 科研成果：主要主持在研项目：
国家自然基金重点项目，面向图像序列的深度学习理论与方法，341万，2016.1-2020.12
国家自然科学基金面上项目，基于超图谱分析的图像分类方法研究，81万， 2013.1-2016.12
江苏省自然科学基金****基金项目，100万， 2012.1-2014.12
江苏省高校自然基金重大项目， 30万， 2015.1-2017.12
教育部新世纪人才科研基金， 50万， 2013.1-2015.12
江苏省****科研基金， 100万， 2012.1-2014.12
江苏省双创人才科研基金， 64万， 2014.1-2016.12
江苏省双创团队科研基金，300万， 2015.1-2017.12
主要代表性论文:
[1] XiaotongYuan, Qingshan Liu, New-Type GreedySelection Methods for l0-Constrained Minimization, Accept by IEEE Trans. Pattern Analysis and MachineIntelligence, 2017
[2] GuangcanLiu, Qingshan Liu, Ping Li, Blessingof Dimensionality: Recovering Mixture Data via Dictionary Pursuit, IEEE Trans. on Pattern Analysis and MachineIntelligence, 39(1): 47-60, 2017
[3] Qingshan Liu,Yubao Sun,Cantian Wang,Tongliang Liu,Dacheng Tao，Elastic NetHypergraph Learning for Image Clustering and Semi-SupervisedClassification.IEEE Trans. on Image Processing, 26(1):452-463，2017
[4] Qingshan; Liu,Guangcan; Li, Lai; Yuan, Xiaotong; Wang, Meng; Liu, Wei, ReversedSpectral Hashing, To appear in IEEETrans. On Neural Networks and Learning Systems, 2017
[5] Qingshan Liu,Jiankang Deng,Jing Yang,Guangcan Liu,Dacheng Tao，Adaptive CascadeRegression Model For Robust Face Alignment, IEEE Trans. on Image Processing, 26(2):797-807，2017
[6] Qingshan Liu, Jing Yang, JiankangDeng, Kaihua Zhang, Robust Facial Landmark Tracking via Cascade Regression, Pattern Recognition, 66:53-62(2017)
[7] Qingshan Liu, Jing Yang, Kaihua Zhang,Yi Wu, Adaptive Compression Tracking via Online Vector Boosting FeatureSelection, To appear in IEEE Trans.Cybernetics, 2017
[8]Renlong Hang, Qingshan Liu, HuihuiSong, Yubao Sun, Fuping Zhu, Hucheng Pei, Graph Regularized Nonlinear RidgeRegression for Remote Sensing Data Analysis, To appear inIEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[9] Guangcan Liu, Huan Xu, Jinghui Tang, Qingshan Liu, Shuicheng Yan, ADeterministic Analysis for LRR, IEEE Trans. On Pattern Analysis and MachineIntelligence, 38(3): 417-430, 2016
[10] Qingshan Liu,Jiankang Deng, Dacheng Tao, Dual Sparse Constrained Cascade Regression forRobust Face Alignment, IEEE Trans. OnImage Processing, 25(2): 700-712, 2016
[11]Kaihua Zhang, Qingshan Liu, Yi Wu,Ming-Hsuan Yang, Robust Visual Tracking via Convolutional Networks withoutTraining, IEEE Trans. On Image Processing,25(4):1779-1792, 2016.
[12] Changsheng Li, Qingshan Liu,Weishan Dong, ect, Max-Margin based Discriminative Feature Learning, IEEE Trans. On Neural Networks and LearningSystems, 27(12): 2768-2775, 2016.
[13] Renlong Huang, QingshanLiu, Huihui Song, Matrix-based Discriminant Subspace Ensemble forHyperspectral Spatial-Spectral Feature Fusion, IEEE Trans. onGeoscienceandRemoteSensing, 54(2): 783-794, 2016
[14] Jiankang Deng, Qingshan Liu, Jing Yang,Dacheng Tao, M3CSR: Multi-view, Multi-scale and Multi-componentCascade Shape Regression, Image andVision Computing, 47: 19-26, 2016.
[15] Xiaotong Yuan, Zhenzhen Wang, Qingshan Liu, Efficient λ2 Kernel Linearization via Random Feature Maps,IEEE Trans. On Neural Networks andLearning Systems, 27(11): 2448-2453, 2016
[16] Jun Xu, Lei Xiang, Qingshan Liu, Gilmore Hannah, Wu J, Jinghai Tang , Madabhushi AStacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast CancerHistopathology images, IEEE Trans. On Medical Imaging, 35(1):119-130, 2016.
[17] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human AgeEstimation Based on Locality and Ordinal Information. IEEE Trans. On Cybernetics, 45(11): 2522-2534, 2015.
[18] Changsheng Li, QingshanLiu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for ImageRanking, IEEE Trans. On Neural Networks andLearning Systems, 26(7): 1551-1559, 2015.
[19] Kaihua Zhang, QingshanLiu, Huihui Song, and Xuelong Li, AVariational Approach to Simultaneous Image Segmentation and Bias Correction, IEEE Transactions on Cybernetics, 45(8):1426-1437, 2015
[20] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N.Metaxas, Learning Multiscale Active Facial Patches for ExpressionAnalysis. IEEE Trans. on Cybernetics,45(8): 1499-1510, 2015
See the more papers in:
https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN
荣誉：• 2011年获得江苏省****称号
• 2012年入选教育部新世纪人才计划
• 2012年获得江苏省自然基金委首批****基金资助
• 2013年入选江苏省双创个人计划
• 2014年入选江苏省创新团队领军人才
• 2016年荣获江苏省优秀教育工作者称号
• 2016年荣获教育部自然科学二等奖（排名第一）
其他学术成就：
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