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His research field is Machine learning and its application to Hyperspectral Remote Sensing Image Processing. The research he has conducted covers supervised/unsupervised/semi-supervised classification, small sample classification, target detection, super-resolution reconstruction, multimodal fusion, etc. His research interests also include Deep learning and Natural language processing.
Recent Representative Papers
[1] M. Shi, J. Ren*. A lightweight denserelation network with attention for hyperspectral image few-shot classification [J]. Engineering Applications of Artificial Intelligence, 2023.
[2] J. Wang, J. Ren*, Y. Peng and M. Shi. Spectral Segmentation Multi-scale Feature Extraction Residual Networks for Hyperspectral Image Classification[J].
Remote Sensing, 2023, 15(17).
[3] M. Shi, R. Wang and J. Ren*. Hierarchical capsule network for hyperspectral image classification[J]. Neural Computing and Applications, 2023.
[4] Y. Peng, J. Ren*, J. Wang and M. Shi. Spectral-Swin Transformer with Spatial Feature Extraction Enhancement for Hyperspectral Image Classification[J]. Remote Sensing, 2023, 15(10).
[5] J. Wang, W. Wu and J. Ren*. BERT-PG: a two-branch associative feature gated filtering network for aspect sentiment classification[J]. Journal of Intelligent Information Systems, 2023.
[6] M. Shi, X. Zeng, J. Ren* and Y. Shi. A multi-scale residual capsule network for hyperspectral image classification with small training samples[J]. Multimedia Tools and Applications, 2023.
[7] J. Ren*, M. Shi, J. Chen, R. Wang and X. Wang. Hyperspectral image classification using multi-level features fusion capsule network with a dense structure[J]. Applied Intelligence, 2023, 53(11).
[8] H. Zhong, L. Li, J. Ren*, W. Wu and R. Wang. Hyperspectral image classification via parallel multi-input mechanism-based convolutional neural network[J]. Multimedia Tools and Applications, 2022, 81(17).
[9] X. Wang, J. Ren*, R. Wang, W. Wu and J. Chen. Spatial-spectral hyperspectral image classification based on primary and secondary capsule network[J]. J. Appl. Remote Sens, 2021, 15(3).
[10] J. Ren, W. Wu, G. Liu, Z. Chen and R. Wang. Bidirectional Gated Temporal Convolution with Attention for text classification[J]. Neurocomputing, 2021, 455: 265-273.
[11] J. Ren, R. Wang, G. Liu, Y. Wang and W. Wu. An SVM-Based Nested Sliding Window Approach for Spectral–Spatial Classification of Hyperspectral Images[J]. Remote Sensing, 2021, 13(1).
[12] J. Ren, R. Wang, G. Liu, R. Feng Y. Wang and W. Wu. Partitioned Relief-F Method for Dimensionality Reduction of Hyperspectral Images[J]. Remote Sensing, 2020, 12(7).
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