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Qingshan Liu

Senior Member, IEEE

Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction

Dec 18, 2020
Yubao Sun, Ying Yang, Qingshan Liu, Mohan Kankanhalli


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Meta-Learning with Network Pruning

Jul 07, 2020
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu


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Hyperspectral Image Classification with Attention Aided CNNs

Jun 12, 2020
Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya


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Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

Mar 13, 2020
Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu

* CVPR2020 

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Dual Temporal Memory Network for Efficient Video Object Segmentation

Mar 13, 2020
Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li

* 10 pages, 5 figures 

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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

Feb 04, 2020
Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu

* IEEE Transactions on Geoscience and Remote Sensing, 2020 

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Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

Jan 02, 2020
Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu


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Deep Object Co-segmentation via Spatial-Semantic Network Modulation

Nov 29, 2019
Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu


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Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

Feb 28, 2019
Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi


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Joint Active Learning with Feature Selection via CUR Matrix Decomposition

Sep 09, 2018
Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha

* Accepted by T-PAMI 

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Fast and Robust Subspace Clustering Using Random Projections

Aug 27, 2018
Guangcan Liu, Yubao Sun, Zhao Zhang, Qingshan Liu, Meng Wang, Konghai Xiong


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Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization

Jun 21, 2017
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas


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Max-Margin based Discriminative Feature Learning

Apr 03, 2017
Changsheng Li, Qingshan Liu, Weishan Dong, Xin Zhang, Lin Yang

* Accepted by IEEE TNNLS 

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Self-Paced Multi-Task Learning

Apr 03, 2017
Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha


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Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification

Mar 23, 2017
Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan


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Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning

Dec 24, 2016
Kaihua Zhang, Xuejun Li, Qingshan Liu


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Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification

Nov 11, 2016
Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li


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Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification

Nov 11, 2016
Qingshan Liu, Renlong Hang, Huihui Song, Fuping Zhu, Javier Plaza, Antonio Plaza


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Visual Tracking via Boolean Map Representations

Oct 30, 2016
Kaihua Zhang, Qingshan Liu, Ming-Hsuan Yang


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A Self-Paced Regularization Framework for Multi-Label Learning

Apr 06, 2016
Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang, Hongyuan Zha


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Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval

Mar 07, 2016
Yubao Sun, Renlong Hang, Qingshan Liu, Fuping Zhu, Hucheng Pei

* 16 pages, 6 figures 

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Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification

Mar 03, 2016
Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao

* 13 pages, 12 figures 

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Dynamic Structure Embedded Online Multiple-Output Regression for Stream Data

Sep 08, 2015
Changsheng Li, Fan Wei, Weishan Dong, Qingshan Liu, Xiangfeng Wang, Xin Zhang


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Robust Visual Tracking via Convolutional Networks

Aug 24, 2015
Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang


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Adaptive Compressive Tracking via Online Vector Boosting Feature Selection

Apr 22, 2015
Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu


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