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

2020.4-至今 南京信息工程大学 计算机与软件学院 教授2014.1-至今 江苏省大数据分析技术重点实验室 主任;2011.8-至今 南京信息工程大学 自动化学院 教授 2006.4-2011.8 先后任美国Rutgers计算机系访问学者、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学者 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

主持承担的科研项目：国家杰出青年基金项目，视觉特征学习表示与学习，350万（直接经费），2020.1-20204.12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，290万（直接经费），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杰出青年基金项目，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江苏省特聘教授科研基金， 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, 2015See the more papers in: https://scholar.google.com/citations?user=2Pyf20IAAAAJ&hl=zh-CN