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    First name: Qingshan
    Last name: Liu
    DBLP: 95/1247
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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
    Bingrong Xu, Qingshan Liu.
    Elastic Net Based Weighted Iterative Method for Image Classification.
    Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part VI 2017 (0) 2017
    Conference paper
    Jian Shang, Qingshan Liu.
    Cognitive Load Recognition Using Multi-threshold United Complex Network.
    Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part VI 2017 (0) 2017
    Conference paper
    Xiao-Tong Yuan, Qingshan Liu.
    Newton-Type Greedy Selection Methods for ??
    IEEE Trans. Pattern Anal. Mach. Intell. 2017, Volume 39 (0) 2017
    Conference paper
    Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu 0001.
    Adaptive Compressive Tracking via Online Vector Boosting Feature Selection.
    IEEE Trans. Cybernetics 2017, Volume 47 (0) 2017
    Conference paper
    Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan.
    A New Theory for Matrix Completion.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Conference paper
    Zongguang Lu, Jing Yang, Qingshan Liu.
    Face image retrieval based on shape and texture feature fusion.
    Computational Visual Media 2017, Volume 3 (0) 2017
    Conference paper
    Feng Zhou, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan.
    Hyperspectral Image Classification Using Spectral-Spatial LSTMs.
    Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I 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
    Conference paper
    Kaihua Zhang, Qingshan Liu, Yi Wu 0001, Ming-Hsuan Yang 0001.
    Robust Visual Tracking via Convolutional Networks Without Training.
    IEEE Transactions on Image Processing 2016, Volume 25 (0) 2016
    Conference paper
    Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang.
    A Self-Paced Regularization Framework for Multi-Label Learning.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao.
    Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Bo Liu 0005, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas.
    Decentralized Robust Subspace Clustering.
    Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 (0) 2016
    Conference paper
    Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang.
    Spatially Regularized Streaming Sensor Selection.
    Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 (0) 2016
    Conference paper
    Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Hongyuan Zha.
    Self-Paced Multi-Task Learning.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Jiankang Deng, Qingshan Liu, Jing Yang, Dacheng Tao.
    M
    Image Vision Comput. 2016, Volume 47 (0) 2016
    Conference paper
    Qingshan Liu, Jun Wang 0002, Zhigang Zeng.
    Advances in Neural Networks, Intelligent Control and Information Processing.
    Neurocomputing 2016, Volume 198 (0) 2016
    Conference paper
    Bo Liu 0005, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas.
    Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method.
    Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 2016 (0) 2016
    Conference paper
    Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu.
    FaceHunter: A multi-task convolutional neural network based face detector.
    Sig. Proc.: Image Comm. 2016, Volume 47 (0) 2016
    Conference paper
    Xiao-Tong Yuan, Zhenzhen Wang, Jiankang Deng, Qingshan Liu.
    Efficient ?
    IEEE Trans. Neural Netw. Learning Syst. 2016, Volume 27 (0) 2016
    Conference paper
    Kaihua Zhang, Qingshan Liu, Ming-Hsuan Yang 0001.
    Visual Tracking via Boolean Map Representations.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Changsheng Li, Qingshan Liu, Weishan Dong, Fan Wei, Xin Zhang, Lin Yang.
    Max-Margin-Based Discriminative Feature Learning.
    IEEE Trans. Neural Netw. Learning Syst. 2016, Volume 27 (0) 2016
    Conference paper
    Wei Chen, Kaihua Zhang, Qingshan Liu.
    Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble.
    Neurocomputing 2016, Volume 214 (0) 2016
    Conference paper
    Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li.
    Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Qingshan Liu, Renlong Hang, Huihui Song, Fuping Zhu, Javier Plaza, Antonio J. Plaza.
    Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Jing Yang, Kaihua Zhang, Qingshan Liu.
    Robust object tracking by online Fisher discrimination boosting feature selection.
    Computer Vision and Image Understanding 2016, Volume 153 (0) 2016
    Conference paper
    Feng Wang, Zhi Li, Qingshan Liu.
    Coarse-to-fine human parsing with Fast R-CNN and over-segment retrieval.
    2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016 2016 (0) 2016
    Conference paper
    Xiao-Tong Yuan, Ping Li 0001, Tong Zhang 0001, Qingshan Liu, Guangcan Liu.
    Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.
    Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain 2016 (0) 2016
    Journal article
    Kaihua Zhang, Xuejun Li, Qingshan Liu.
    Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Shaofu Yang, Jun Wang 0002, Qingshan Liu.
    Multiple-objective optimization based on a two-time-scale neurodynamic system.
    Eighth International Conference on Advanced Computational Intelligence, ICACI 2016, Chiang Mai, Thailand, February 14-16, 2016 2016 (0) 2016
    Conference paper
    Huihui Song, Bo Huang, Qingshan Liu, Kaihua Zhang.
    Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images via Learning-Based Super-Resolution.
    IEEE T. Geoscience and Remote Sensing 2015, Volume 53 (0) 2015
    Journal article
    Liguo Weng, Min Xia, Wei Wang, Qingshan Liu.
    Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network.
    Int. J. Systems Science 2015, Volume 46 (0) 2015
    Conference paper
    Jiankang Deng, Yubao Sun, Qingshan Liu, Hanqing Lu.
    Low rank driven robust facial landmark regression.
    Neurocomputing 2015, Volume 151 (0) 2015
    Journal article
    Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu.
    Sparse random projection for ?
    Neurocomputing 2015, Volume 151 (0) 2015
    Journal article
    Shengye Yan, Qingshan Liu.
    Inferring occluded features for fast object detection.
    Signal Processing 2015, Volume 110 (0) 2015
    Journal article
    Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha.
    Active Sample Learning and Feature Selection: A Unified Approach.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu.
    Adaptive Compressive Tracking via Online Vector Boosting Feature Selection.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu.
    Ordinal Distance Metric Learning for Image Ranking.
    IEEE Trans. Neural Netw. Learning Syst. 2015, Volume 26 (0) 2015
    Conference paper
    Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N. Metaxas.
    Learning Multiscale Active Facial Patches for Expression Analysis.
    IEEE T. Cybernetics 2015, Volume 45 (0) 2015
    Conference paper
    Kaihua Zhang, Qingshan Liu, Huihui Song, Xuelong Li.
    A Variational Approach to Simultaneous Image Segmentation and Bias Correction.
    IEEE T. Cybernetics 2015, Volume 45 (0) 2015
    Conference paper
    Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu.
    Hierarchical Convolutional Neural Network for Face Detection.
    Image and Graphics - 8th International Conference, ICIG 2015, Tianjin, China, August 13-16, 2015, Proceedings, Part II 2015 (0) 2015
    Journal article
    Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu.
    How friends affect user behaviors? An exploration of social relation analysis for recommendation.
    Knowl.-Based Syst. 2015, Volume 88 (0) 2015
    Conference paper
    Zhi Li, Yubao Sun, Feng Wang, Qingshan Liu.
    Convolutional Neural Networks for Clothes Categories.
    Computer Vision - CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part II 2015 (0) 2015
    Conference paper
    Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu.
    Human Age Estimation Based on Locality and Ordinal Information.
    IEEE T. Cybernetics 2015, Volume 45 (0) 2015
    Conference paper
    Qingshan Liu, Yan Zhao, Long Cheng.
    Continuous-Time Multi-agent Network for Distributed Least Absolute Deviation.
    Advances in Neural Networks - ISNN 2015 - 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings 2015 (0) 2015
    Conference paper
    Qingshan Liu, Jun Wang.
    A Projection Neural Network for Constrained Quadratic Minimax Optimization.
    IEEE Trans. Neural Netw. Learning Syst. 2015, Volume 26 (0) 2015
    Conference paper
    Kaihua Zhang, Qingshan Liu, Yi Wu 0001, Ming-Hsuan Yang 0001.
    Robust Tracking via Convolutional Networks without Learning.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Qingshan Liu, Jun Wang 0002.
    A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization.
    IEEE Trans. Automat. Contr. 2015, Volume 60 (0) 2015
    Conference paper
    Jing Yang, Jiankang Deng, Kaihua Zhang, Qingshan Liu.
    Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression.
    2015 IEEE International Conference on Computer Vision Workshop, ICCV Workshops 2015, Santiago, Chile, December 7-13, 2015 2015 (0) 2015
    Conference paper
    Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan.
    Additive Nearest Neighbor Feature Maps.
    2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015 2015 (0) 2015
    Journal article
    Liguo Weng, Qingshan Liu, Min Xia, Y. D. Song.
    Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination.
    Neurocomputing 2014, Volume 125 (0) 2014
    Conference paper
    Jinde Cao, Qingshan Liu, Sabri Arik, Jianlong Qiu, Haijun Jiang, Ahmed M. Elaiw.
    Computational Neuroscience.
    Comp. Math. Methods in Medicine 2014, Volume 2014 (0) 2014
    Conference paper
    Qingshan Liu, Tingwen Huang, Jun Wang 0002.
    One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems.
    IEEE Trans. Neural Netw. Learning Syst. 2014, Volume 25 (0) 2014
    Conference paper
    Kaihua Zhang, Lei Zhang 0006, Qingshan Liu, David Zhang 0001, Ming-Hsuan Yang 0001.
    Fast Visual Tracking via Dense Spatio-temporal Context Learning.
    Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 2014 (0) 2014
    Conference paper
    Wei Zhang, Qingshan Liu.
    A one-layer discrete-time projection neural network for support vector classification.
    2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014 2014 (0) 2014
    Conference paper
    Yubao Sun, Qingshan Liu, Jinhui Tang, Dacheng Tao.
    Learning Discriminative Dictionary for Group Sparse Representation.
    IEEE Transactions on Image Processing 2014, Volume 23 (0) 2014
    Conference paper
    Xiao-Tong Yuan, Qingshan Liu.
    Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization.
    2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, USA, June 23-28, 2014 2014 (0) 2014
    Conference paper
    Shengye Yan, Xinxing Xu, Qingshan Liu.
    Learning the object location, scale and view for image categorization with adapted classifier.
    Inf. Sci. 2014, Volume 281 (0) 2014
    Conference paper
    Chaoyang Zhao, Wei Fu, Jinqiao Wang, Xiao Bai 0001, Qingshan Liu, Hanqing Lu.
    Discriminative Context Models for Collective Activity Recognition.
    22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014 2014 (0) 2014
    Conference paper
    Changsheng Li, Lin Yang, Qingshan Liu, Fan Jing Meng, Weishan Dong, Yu Wang 0021, Jingmin Xu.
    Multiple-Output Regression with High-Order Structure Information.
    22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014 2014 (0) 2014
    Journal article
    Changsheng Li, Weishan Dong, Qingshan Liu, Xin Zhang 0008.
    MORES: Online Incremental Multiple-Output Regression for Data Streams.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Changsheng Li, Qingshan Liu, Weishan Dong, Xin Zhang 0008, Lin Yang.
    Max-Margin based Discriminative Feature Learning.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu.
    A Weighted One Class Collaborative Filtering with Content Topic Features.
    Advances in Multimedia Modeling, 19th International Conference, MMM 2013, Huangshan, China, January 7-9, 2013, Proceedings, Part II 2013 (0) 2013
    Conference paper
    Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu.
    Ordinal regularized manifold feature extraction for image ranking.
    Signal Processing 2013, Volume 93 (0) 2013
    Conference paper
    Qingshan Liu, Jun Wang 0002.
    A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints.
    IEEE Trans. Neural Netw. Learning Syst. 2013, Volume 24 (0) 2013
    Journal article
    Qingshan Liu, Yueting Zhuang.
    Learning for scalable multimedia representation.
    Neurocomputing 2013, Volume 105 (0) 2013
    Journal article
    Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas.
    Recognizing expressions from face and body gesture by temporal normalized motion and appearance features.
    Image Vision Comput. 2013, Volume 31 (0) 2013
    Conference paper
    Stefano Squartini, Sanqing Hu, Qingshan Liu.
    Advances on Brain Inspired Computing.
    Cognitive Computation 2013, Volume 5 (0) 2013
    Journal article
    Qingshan Liu, Tingwen Huang.
    A neural network with a single recurrent unit for associative memories based on linear optimization.
    Neurocomputing 2013, Volume 118 (0) 2013
    Journal article
    Chunmei Liu, Changbo Hu, Qingshan Liu, Jake K. Aggarwal.
    Video event description in scene context.
    Neurocomputing 2013, Volume 119 (0) 2013
    Journal article
    Qingshan Liu, Chuangyin Dang, Tingwen Huang.
    A One-Layer Recurrent Neural Network for Real-Time Portfolio Optimization With Probability Criterion.
    IEEE T. Cybernetics 2013, Volume 43 (0) 2013
    Conference paper
    Pengpeng Ji, Shengye Yan, Qingshan Liu.
    Region-Based Spatial Sampling for Image Classification.
    Proceedings of the Seventh International Conference on Image and Graphics, ICIG 2013, Qingdao, China, July 26-28, 2013 2013 (0) 2013
    Conference paper
    Qingshan Liu, Yan Zhao.
    A continuous-time recurrent neural network for real-time support vector regression.
    IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013, Singapore, April 16-19, 2013 2013 (0) 2013
    Journal article
    Faiz M. Hasanuzzaman, Xiaodong Yang, Yingli Tian, Qingshan Liu, Elizabeth Capezuti.
    Monitoring activity of taking medicine by incorporating RFID and video analysis.
    NetMAHIB 2013, Volume 2 (0) 2013
    Journal article
    Changsheng Xu, Alan Hanjalic, Shuicheng Yan, Qingshan Liu, Alan F. Smeaton.
    Special Section on Object and Event Classification in Large-Scale Video Collections.
    IEEE Transactions on Multimedia 2012, Volume 14 (0) 2012
    Journal article
    Qingshan Liu, Zhishan Guo, Jun Wang.
    A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization.
    Neural Networks 2012, Volume 26 (0) 2012
    Journal article
    Xinyi Cui, Qingshan Liu, Shaoting Zhang, Fei Yang, Dimitris N. Metaxas.
    Temporal Spectral Residual for fast salient motion detection.
    Neurocomputing 2012, Volume 86 (0) 2012
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