Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
CNN-based multilayer spatial–spectral feature fusion and sample augmentation with local and nonlocal constraints for hyperspectral image classification
Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
JCR Q2
Recommended citation: Feng, J., Chen, J., Liu, L., Cao, X., Zhang, X., Jiao, L., & Yu, T. (2019). CNN-based multilayer spatial–spectral feature fusion and sample augmentation with local and nonlocal constraints for hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(4), 1299-1313.
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Joint multilayer spatial-spectral classification of hyperspectral images based on CNN and ConvLSTM
Published in IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Recommended citation: Feng, J., Wu, X., Chen, J., Zhang, X., Tang, X., & Li, D. (2019, July). Joint multilayer spatial-spectral classification of hyperspectral images based on CNN and ConvLSTM. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 588-591). IEEE.
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Hyperspectral band selection based on ternary weight convolutional neural network
Published in IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Recommended citation: Feng, J., Li, D., Chen, J., Zhang, X., Tang, X., & Wu, X. (2019, July). Hyperspectral band selection based on ternary weight convolutional neural network. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 3804-3807). IEEE.
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Generative adversarial networks based on collaborative learning and attention mechanism for hyperspectral image classification
Published in Remote Sensing, 2020
JCR Q2
Recommended citation: Feng, J., Feng, X., Chen, J., Cao, X., Zhang, X., Jiao, L., & Yu, T. (2020). Generative adversarial networks based on collaborative learning and attention mechanism for hyperspectral image classification. Remote Sensing, 12(7), 1149.
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Convolutional neural network based on bandwise-independent convolution and hard thresholding for hyperspectral band selection
Published in IEEE transactions on cybernetics, 2020
JCR Q1
Recommended citation: Feng, J., Chen, J., Sun, Q., Shang, R., Cao, X., Zhang, X., & Jiao, L. (2020). Convolutional neural network based on bandwise-independent convolution and hard thresholding for hyperspectral band selection. IEEE transactions on cybernetics, 51(9), 4414-4428.
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Dual-graph convolutional network based on band attention and sparse constraint for hyperspectral band selection
Published in Knowledge-Based Systems, 2021
JCR Q1
Recommended citation: Feng, J., Ye, Z., Liu, S., Zhang, X., Chen, J., Shang, R., & Jiao, L. (2021). Dual-graph convolutional network based on band attention and sparse constraint for hyperspectral band selection. Knowledge-Based Systems, 231, 107428.
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Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography
Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Recommended citation: Zhao, P., Sun, Q., Tian, X., Yang, Y., Tao, S., Cheng, J., & Chen, J. (2024). Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7829-7838).
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.