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Master advisors

Liu,Jianjun

Curriculum Vitae

Jianjun Liu (PhD)

Lecturer, Jiangnan University


Department: Department of Compute Science and Technology, School of Internet of Things Engineering

Address: No 1800, Lihu Avenue, Wuxi 214122, China

Email: liuofficial@163.com

Tel: 18306175875


Education and Employment

Ø 2014-present: Lecturer, Jiangnan University, Wuxi, China

Ø 2009-2014: PhD in Pattern Recognition, Nanjing University of Science and Technology, China.

Ø 2005-2009: B.Sc. in Computational Mathematics, Nanjing University of Science and Technology, China


Projects

Ø National Natural Science Foundation of China, Research on Multitask Joint Sparse Representation Methods for Hyperspectral Image Subpixel Classification Coupled with Image Fusion

Ø Natural Science Foundation of Jiangsu Province, Research on Low Rank Representation Methods for Hyperspectral Remote Sensing Image Subpixel Classification Making Use of a Panchromatic Image


Current Research Interests

Pattern recognition and computer vision in hyperspectral remote sensing image, including sparse representation, collaborative representation, kernel method, multi-task learning, tensor factorization, variational method, image classification and data fusion.


Publications

International Journals

[1] Jianjun Liu, Zebin Wu, Jun Li, Antonio Plaza, Yunhao Yuan. Probabilistic-Kernel Collaborative Representation for Spatial-Spectral Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (4): 2371-2384.

[2] Jianjun Liu, Zebin Wu, Jun Li, Xiao Liang, Antonio Plaza, Benediktsson, Jon Atli. Spatial-Spectral Hyperspectral Image Classification Using Random Multiscale Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (9): 4129-4141.

[3] Jianjun Liu, Zebin Wu, Zhihui Wei, Liang Xiao, Le Sun. Spatial-Spectral kernel sparse representation for hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(6): 2462-2471.

[4] Jianjun Liu, Zebin Wu, Le Sun, Zhihui Wei, Liang Xiao. Hyperspectral image classification using kernel sparse representation and semilocal spatial graph regularization. IEEE Geoscience and Remote Sensing Letters, 2014, 11(8): 1320-1324.

[5] Jianjun Liu, Zebin Wu, Zhiyong Xiao, Jinlong Yang. Region-based Relaxed Multiple Kernel Collaborative Representation for Hyperspectral Image Classification. IEEE Access, 2017, 5: 20921-20933.

[6] Jianjun Liu, Zhiyong Xiao, Liang Xiao. Superpixel-guided multiscale kernel collaborative representation for hyperspectral image classification. Remote Sensing Letters, 2016, 7(10): 975-984.

[7] Jianjun Liu, Zebin Wu, Zhiyong Xiao, Jinlong Yang. Classification of Hyperspectral Images Using Kernel Fully Constrained Least Squares. ISPRS International Journal of Geo-Information, 2017, 6(11): 344.

[8] Jianjun Liu, Zhiyong Xiao, Yufeng Chen, Jinlong Yang. Spatial-Spectral Graph Regularized Kernel Sparse Representation for Hyperspectral Image Classification. ISPRS International Journal of Geo-Information, 2017, 6(8): 258.

[9] Zhiyong Xiao, Yunhao Yuan, Jianjun Liu, Jinlong Yang. Spatially constrained mixture model via energy minimization and its application to image segmentation. Journal of Electronic Imaging, 2016, 25(1): 013026.

[10] Zebin Wu, Qicong Wang, Antonio Plaza, Jun Li, Jianjun Liu, Zhihui Wei. Parallel Implementation of Sparse Representation Classifiers for Hyperspectral Imagery on GPUs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2912-2925.

[11] Le Sun, Zebin Wu, Jianjun Liu, Liang Xiao, Zhihui Wei. Supervised Spectral-Spatial hyperspectral image classification with weighted markov random fields. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(3): 1490-1503.

[12] Zebin Wu, Shun Ye, Jianjun Liu, Le Sun, Zhihui Wei. Sparse Non-negative Matrix Factorization on GPUs for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(8): 3640-3649.

[13] Le Sun, Zebin Wu, Jianjun Liu, Zhihui Wei. A novel supervised method for hyperspectral image classification with spectral-spatial constraints. Chinese Journal of Electronics, 2014, 23(1): 135-141.

[14] Le Sun, Zebin Wu, Liang Xiao, Jianjun Liu, Zhihui Wei, Fuxing Dang. A novel l 1/2 sparse regression method for hyperspectral unmixing. International Journal of Remote Sensing, 2013, 34(20): 6983-7001.

International Conferences

[1] Jianjun Liu, Zebin Wu, Zhiyong Xiao, Jinlong Yang. Hyperspectral image classification via kernel fully constrained least squares. IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, TX, USA, 2017: 2219-2222.

[2] Jianjun Liu, Xiaoqian Shi, Zebin Wu, Liang Xiao, Zhiyong Xiao, Yunhao Yuan. Hyperspectral image classification via region-based composite kernels. IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 2016: 933-936.


Reviewer

Ø IEEE Trans. on Cybernetics

Ø IEEE Trans. on Geoscience and Remote Sensing

Ø IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Ø IEEE Access

Ø Remote Sensing Letters



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