1. F. Chen, H. Yu, and R. Hu, Shape sparse representation for joint object classification and segmentation, IEEE Transaction on Image Processing (TIP), 2013.
2. F. Chen, H. Yu, R. Hu, and X. Zeng, Deep learning shape priors for object segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2013.
3. F. Chen, L. Zhang, H. Yu, External Patch Prior Guided Internal Clustering for Image Denoising, IEEE International Conference on Computer Vision (ICCV), 2015.
4. F. Chen, X. Zeng, M. Wang, Image denoising via local and nonlocal circulant similarity. Journal of Visual Communication and Image Representation(JVCIR), 2015.
5. F. Chen, H. Yu, J. Yao, R. Hu, Robust sparse kernel density estimation by inducing randomness, Pattern Analysis and Applications (PAA), 2015.
6. F. Chen, R. Hu, H. Yu, and S. Wang, Reduced set density estimator for object segmentation based on shape probabilistic representation, Journal of Visual Communication and Image Representation (JVCIR), 2012.
7. X. Zeng, F. Chen*, M. Wang, Shape group Boltzmann machine for simultaneous object segmentation and action classification, Pattern Recognition Letters (PRL), 2018.
8. F. Chen, H. Chen, X. Zeng and M. Wang, Autoencoder-based patch learning for real-world image denoising, Journal of Algorithms & Computational Technology (JACT), 2019.
9. X. Zeng, F. Chen*, M. Wang, C.-H. Lai, Circulant Dissimilarity Based Shape Registration for Object Segmentation, International Journal of Computer Mathematics (IJCM), 2019.
10. F. Chen, G. Cheung, X. Zhang, Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer, IEEE International Conference on Image Processing (ICIP), 2021.