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    Author information
    First name: Qingshan
    Last name: Liu
    DBLP: 95/1247
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    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 215  
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    Conference paper
    Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao.
    Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification.
    IEEE Trans. Image Processing 2017, Volume 26 (0) 2017
    Journal article
    Guangcan Liu, Qingshan Liu, Ping Li.
    Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit.
    IEEE Trans. Pattern Anal. Mach. Intell. 2017, Volume 39 (0) 2017
    Conference paper
    Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao.
    Adaptive Cascade Regression Model For Robust Face Alignment.
    IEEE Trans. Image Processing 2017, Volume 26 (0) 2017
    Conference paper
    Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha.
    Self-Paced Multi-Task Learning.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Qingshan Liu, Jing Yang, Jiankang Deng, Kaihua Zhang.
    Robust facial landmark tracking via cascade regression.
    Pattern Recognition 2017, Volume 66 (0) 2017
    Conference paper
    Bo Liu 0005, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas.
    Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Qingshan Liu, Feng Zhou, Renlong Hang, Xiao-Tong Yuan.
    Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Shaofu Yang, Qingshan Liu, Jun Wang 0002.
    Distributed Optimization Based on a Multiagent System in the Presence of Communication Delays.
    IEEE Trans. Systems, Man, and Cybernetics: Systems 2017, Volume 47 (0) 2017
    Journal article
    Sabri Arik, Qingshan Liu, Weng-Kin Lai.
    SI: ICONIP 2015: Learning algorithms and classification systems.
    Neurocomputing 2017, Volume 248 (0) 2017
    Conference paper
    Jian Shang, Wei Zhang, Jiang Xiong, Qingshan Liu.
    Cognitive Load Recognition Using Multi-channel Complex Network Method.
    Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Yubao Sun, Sujuan Wang, Qingshan Liu, Renlong Hang, Guangcan Liu.
    Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images.
    Remote Sensing 2017, Volume 9 (0) 2017
    Conference paper
    Shaofu Yang, Qingshan Liu, Jun Wang 0002.
    A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization.
    IEEE Trans. Automat. Contr. 2017, Volume 62 (0) 2017
    Conference paper
    Qingshan Liu, Shaofu Yang, Jun Wang 0002.
    A Collective Neurodynamic Approach to Distributed Constrained Optimization.
    IEEE Trans. Neural Netw. Learning Syst. 2017, Volume 28 (0) 2017
    Conference paper
    Bo Liu 0005, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas.
    Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas.
    Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition.
    ACM Trans. Embedded Comput. Syst. 2016, Volume 16 (0) 2017
    Conference paper
    Qingshan Liu, Shaofu Yang, Yiguang Hong.
    Constrained Consensus Algorithms With Fixed Step Size for Distributed Convex Optimization Over Multiagent Networks.
    IEEE Trans. Automat. Contr. 2017, Volume 62 (0) 2017
    Conference paper
    Jing Yang, Qingshan Liu, Kaihua Zhang.
    Stacked Hourglass Network for Robust Facial Landmark Localisation.
    2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Book chapter
    Jun Xu 0005, Chao Zhou, Bing Lang, Qingshan Liu.
    Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers.
    Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets 2017 (0) 2017
    Conference paper
    Lai Li, Guangcan Liu, Qingshan Liu.
    Advancing Iterative Quantization Hashing Using Isotropic Prior.
    MultiMedia Modeling - 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II 2016 (0) 2016
    Conference paper
    Qingshan Liu, Jiankang Deng, Dacheng Tao.
    Dual Sparse Constrained Cascade Regression for Robust Face Alignment.
    IEEE Transactions on Image Processing 2016, Volume 25 (0) 2016
    Conference paper
    Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun.
    Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial-Spectral Feature Fusion.
    IEEE T. Geoscience and Remote Sensing 2016, Volume 54 (0) 2016
    Conference paper
    Jun Xu 0005, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi.
    Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
    IEEE Trans. Med. Imaging 2016, Volume 35 (0) 2016
    Conference paper
    Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan.
    A Deterministic Analysis for LRR.
    IEEE Trans. Pattern Anal. Mach. Intell. 2016, Volume 38 (0) 2016
    Conference paper
    Qingshan Liu, Jun Wang 0002.
    L
    IEEE Trans. Neural Netw. Learning Syst. 2016, Volume 27 (0) 2016
    Conference paper
    Yubao Sun, Renlong Hang, Qingshan Liu, Fuping Zhu, Hucheng Pei.
    Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval.
    CoRR 2016, Volume 0 (0) 2016
    Show item 1 to 25 of 215  

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