l S. Gu, Q. Xie, D. Meng, W. Zuo, X. Feng, L. Zhang, "Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision," In IJCV 2016.
l W. Zuo, D. Ren, D. Zhang, S. Gu, L. Zhang, "Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution," In TIP 2016.
l S. Gu, W. Zuo, S. Guo, Y. Chen, C. Chen and L. Zhang, "Learning Dynamic Guidance for Depth Image Enhancement," to appear in CVPR 2017.
l K. Zhang, W. Zuo, S. Gu and L. Zhang, "Learning Deep CNN Denoiser Prior for Image Restoration," to appear in CVPR 2017.
l K. Wang, L. Lin, W. Zuo, S. Gu and L. Zhang, "Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection," in CVPR 2016.
l Q. Xie, Q. Zhao, D. Meng, Z. Xu, S. Gu, W. Zuo and L. Zhang, "Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization," in CVPR 2016.
l S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, L. Zhang. "Convolutional Sparse Coding for Image Super-resolution," in ICCV 2015. (paper, sup)
l W. Zuo, D. Ren, S. Gu, L. Lin and L. Zhang, "Discriminative learning of iteration-wise priors for blind deconvolution," in CVPR 2015. (paper, sup)
l S.Gu, L. Zhang, W. Zuo and X. Feng. "Projective dictionary pair learning for pattern classification." in NIPS 2014. (paper, sup, code)
l S. Gu, L.
Zhang, W. Zuo, and X. Feng, “Weighted Nuclear Norm Minimization
with Application to Image Denoising,” in CVPR
l S. Gu, N. Sang, F. Ma, "Fast image super resolution via local regression," in 2012 International Conference on Pattern Recognition (ICPR2012).
l X. Bai, S. Gu, F. Zhou, "Entropy powered image fusion based on multe scale top-hat transform,” in 2010 International Congress onImage and Signal Processing (CISP2010).
l Q. Xie, D. Meng, S. Gu, L. Zhang, W. Zuo, X. Feng and Z. Xu, “On the Optimal Solution of Weighted Nuclear Norm Minimization,” Technical Report, arXiv: 1405.6012.(report)