jianjun liu

Welcome to Jianjun Liu’s website GitHub

JianJun Liu（刘建军）

PhD, Associate Professor

School of Artificial Intelligence and Computer Science, Jiangnan University

Email: liuofficial at 163.com

Address: No.1800, lihu Avenue, Wuxi, 214122, China

Education and Work Experience

1. 2005/09-2009/06, bachelor, department of mathematics, Nanjing University of Science and Technology
2. 2009/09-2014/06, PhD, school of computer science, Nanjing University of Science and Technology
3. 2018/11-2020/11, Postdoctoral Researcher, department of EE, City University of Hong Kong
4. 2014/06-Now, Jiangnan University

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Research Interests

Hyperspectral Image Processing, Remote Sensing, Image Fusion, SuperResolution, Matrix Decompoistion, Sparse and Collaborative Representation, Pattern Recognition, Computer Vision, Deep Learning and etc.

Publications: Journals

  1. Jianjun Liu, Zebin Wu, Liang Xiao. A Spectral Diffusion Prior for Unsupervised Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5528613. See code on GitHub
  2. Yanli Shang, Jianjun Liu*, Jingyi Zhang, Zebin Wu*. MFT-GAN: A Multiscale Feature-Guided Transformer Network for Unsupervised Hyperspectral Pansharpening. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62：5518516. See code on GitHub
  3. Jingyi Zhang, Jianjun Liu*, Jinlong Yang, Zebin Wu. Crossed Dual-Branch U-Net for Hyperspectral Image Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17：2296-2307. See code on GitHub
  4. Yibo Zhao, Jianjun Liu*, Zebin Wu. CDLNet: Collaborative Dictionary Learning Network for Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-14. See code on GitHub
  5. Yibo Zhao, Jianjun Liu*, Jinlong Yang, Zebin Wu. EMSCNet: Efficient Multisample Contrastive Network for Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-14. See code on GitHub
  6. Lifan Ji, Yihao Shao, Jianjun Liu*, Liang Xiao. Spatial-spectral hierarchical vision permutator for hyperspectral image classification. European Journal of Remote Sensing, 2023, 56(1): 1-16.
  7. Yihao Shao, Jianjun Liu*, Jinlong Yang, Zebin Wu. Spatial–Spectral Involution MLP Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 9293-9310.
  8. Yibo Zhao, Jianjun Liu*, Jinlong Yang, Zebin Wu. Remote Sensing Image Scene Classification via Self-Supervised Learning and Knowledge Distillation. Remote Sensing, 2022, 14(19): 4813.
  9. Diyi Jin, Jianjun Liu*, Jinlong Yang, Zebin Wu. High-Order Coupled Fully-Connected Tensor Network Decomposition for Hyperspectral Image Super-Resolution. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. See code on GitHub
  10. Yanli Shang, Jianjun Liu*, Jinlong Yang, Zebin Wu. A Model-Inspired Approach With Transformers for Hyperspectral Pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 7187-7202. See code on GitHub
  11. Jianjun Liu, Zebin Wu, Liang Xiao, Xiao-Jun Wu. Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 2022: 5522412. See code on GitHub
  12. Jianjun Liu, Dunbin Shen, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan. Patch-Aware Deep Hyperspectral and Multispectral Image Fusion by Unfolding Subspace-Based Optimization Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 1024-1038. See code on GitHub
  13. Dunbin Shen, Jianjun Liu*, Zebin Wu, Jinlong Yang, Liang Xiao. Admm-hfnet: A matrix decomposition based deep approach for hyperspectral image fusion. IEEE Transactions on Geoscience and Remote Sensing, 2022: 5513417. See code on GitHub
  14. Yanglin Sun, Jianjun Liu*, Jinlong Yang, Zhiyong Xiao, Zebin Wu. A deep image prior-based interpretable network for hyperspectral image fusion. Remote Sensing Letters, 2021, 12(12): 1250-1259.
  15. Zhe Wu, Jianjun Liu*, Jinlong Yang, Zhiyong Xiao, Liang Xiao. Composite kernel learning network for hyperspectral image classification. International Journal of Remote Sensing, 2021, 42(16): 6068-6091.
  16. Jianjun Liu, Zebin Wu, Liang Xiao, Hong Yan. Learning Multiple Parameters for Kernel Collaborative Representation Classification. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5068-5078. See code on GitHub
  17. Jianjun Liu, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan. A Truncated Matrix Decomposition for Hyperspectral Image Super-Resolution. IEEE Transactions on Image Processing, 2020, 29: 8028-8042. See code on GitHub
  18. Jianjun Liu, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan. Generalized Tensor Regression for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(2): 1244-1258. See code on GitHub
  19. Hao Guo, Jianjun Liu*, Jinlong Yang, Zhiyong Xiao, Zebin Wu. Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 4789-4802. [PDF]See code on GitHub
  20. Dunbin Shen, Jianjun Liu*, Zhiyong Xiao, Jinlong Yang, Liang Xiao. A Twice Optimizing Net with Matrix Decomposition for Hyperspectral and Multispectral Image Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 4095-4110. [PDF]See code on GitHub
  21. Hao Guo, Jianjun Liu*, Zhiyong Xiao, Liang Xiao. Deep CNN-based hyperspectral image classification using discriminative multiple spatial-spectral feature fusion. Remote Sensing Letters, 2020, 11(9): 827-836.
  22. Hao Chen, Jianjun Liu*, Liang Xiao. An improved composite kernel framework for hyperspectral image classification using canonical correlation analysis. Remote Sensing Letters, 2019, 10(4): 411-420.
  23. 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. See code on GitHub
  24. 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.
  25. 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.
  26. Jianjun Liu, Zhiyong Xiao, Liang Xiao. Superpixel-guided multiscale kernel collaborative representation for hyperspectral image classification. Remote Sensing Letters, 2016, 7(10): 975-984. See code on GitHub
  27. 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. See code on GitHub
  28. Jianjun Liu, Zebin Wu, Jun Li, Liang Xiao, Antonio Plaza, J. A. Benediktsson. 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.
  29. 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. See code on GitHub
  30. 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. See code on GitHub
  31. 刘建军, 吴泽彬, 韦志辉, 肖亮, 孙乐. 基于约束非负矩阵分解的高光谱图像解混快速算法. 电子学报, 2013, 41(3): 432-437.
  32. 刘建军, 吴泽彬, 韦志辉, 肖亮, 孙乐. 基于空间相关性约束稀疏表示的高光谱图像分类. 电子与信息学报, 2012, 34(11): 2666-2671.

Publications: Conferences

  1. Meimei Weng, Jianjun Liu*. Band Embedding-Based Network for Spectral Super-Resolution. IEEE International Geoscience and Remote Sensing Symposium, 2024: 9126-9129.
  2. Hongru Zong, Jianjun Liu*. Dual-Branch Autoencoder with Clustering Information for Hyperspectral Blind Unmixing. IEEE International Geoscience and Remote Sensing Symposium, 2024: 9139-9142.
  3. Jianjun Liu, Hao Chen, Songze Tang, Jinlong Yang, Hong Yan. Hyperspectral Image Classification via Tensor Ridge Regression. IEEE International Geoscience and Remote Sensing Symposium, 2019: 1156-1159.
  4. Jianjun Liu, Zebin Wu, Zhiyong Xiao, Jinlong Yang. Hyperspectral Pansharpening via Multitask Joint Sparse Representation. IEEE International Geoscience and Remote Sensing Symposium, 2018: 7192-7195.
  5. Jianjun Liu, Zebin Wu, Zhiyong Xiao, Jinlong Yang. Hyperspectral image classification via kernel fully constrained least squares. IEEE International Geoscience and Remote Sensing Symposium, 2017: 2219-2222.
  6. Jianjun Liu, Xiaoqian Shi, Zebin Wu, Liang Xiao, Zhiyong Xiao, Yun-Hao Yuan. Hyperspectral image classification via region-based composite kernels. IEEE International Geoscience and Remote Sensing Symposium, 2016: 933-936.
  7. Jianjun Liu, Zebin Wu, Zhihui Wei, Liang Xiao, Le Sun. A novel sparsity constrained nonnegative matrix factorization for hyperspectral unmixing. IEEE International Geoscience and Remote Sensing Symposium, 2012: 1389-1392.
  8. Jianjun Liu, Zebin Wu, Zhihui Wei, Le Sun. A split bregman method for linear spectral unmixing. Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2012: 1-4.