| Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising J Xu, L Zhang, W Zuo, D Zhang, X Feng IEEE ICCV 2015, Matlab Code: https://github.com/csjunxu/PGPD-ICCV2015, 2015 | 183 | 2015 |
| Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising J Xu, L Zhang, D Zhang, X Feng IEEE ICCV 2017, Matlab Code: https://github.com/csjunxu/MCWNNM-ICCV2017 …, 2017 | 72 | 2017 |
| A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising J Xu, L Zhang, D Zhang ECCV 2018, Matlab Code: https://github.com/csjunxu/TWSC-ECCV2018, 2018 | 37 | 2018 |
| External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising J Xu, L Zhang, D Zhang IEEE Transactions on Image Processing, Matlab Code: https://github.com …, 2018 | 35* | 2018 |
| Reweighted Sparse Subspace Clustering J Xu, K Xu, K Chen, J Ruan Computer Vision and Image Understanding 138, 25–37, 2015 | 27 | 2015 |
| Real-world Noisy Image Denoising: A New Benchmark J Xu, H Li, Z Liang, D Zhang, L Zhang https://arxiv.org/abs/1804.02603 Data&Matlab Code: https://github.com …, 2018 | 22 | 2018 |
| newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation Y Zhang, J Xu, W Zheng, C Zhang, X Qiu, K Chen, J Ruan Computational Biology and Chemistry 52, 51–59, 2014 | 16 | 2014 |
| Sparse, collaborative, or nonnegative representation: Which helps pattern classification? J Xu, W An, L Zhang, D Zhang Pattern Recognition, Matlab Code:https://github.com/csjunxu/Classification …, 2019 | 14 | 2019 |
| A PID Controller Approach for Stochastic Optimization of Deep Networks W An, H Wang, Q Sun, J Xu, Q Dai, L Zhang IEEE CVPR 2018, PyTorch Code: https://github.com/tensorboy/PIDOptimizer, 2018 | 13 | 2018 |
| A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping Z Liang, J Xu, D Zhang, Z Cao, L Zhang IEEE CVPR 2018, Matlab Code: https://github.com/ilegendforever/L1-L0-Tone …, 2018 | 13 | 2018 |
| Cross Version Defect Prediction with Representative Data via Sparse Subset Selection Z Xu, S Li, Y Tang, X Luo, T Zhang, J Liu, J Xu International Conference on Program Comprehension (ICPC), 2018 | 11 | 2018 |
| Patch Group based Bayesian Learning for Blind Image Denoising J Xu, D Ren, L Zhang, D Zhang ACCV 2016, Matlab Code: https://github.com/csjunxu/PGBL_BID, 2016 | 11 | 2016 |
| Partial Deconvolution with Inaccurate Blur Kernel D Ren, W Zuo, D Zhang, J Xu, L Zhang IEEE Transactions on Image Processing 27 (1), 511-524, 2018 | 8 | 2018 |
| RANet: Ranking Attention Network for Fast Video Object Segmentation Z Wang, J Xu*, L Liu, F Zhu, L Shao ICCV 2019, PyTorch Code: https://github.com/Storife/RANet, 2019 | 5 | 2019 |
| Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition H Wang, Z Xu, J Xu, W An, L Zhang, Q Dai https://arxiv.org/abs/1908.03850, 2019 | 3* | 2019 |
| TSTSS: A Two-Stage Training Subset Selection Framework for Cross Version Defect Prediction Z Xu, S Li, X Luo, J Liu, T Zhang, Y Tang, J Xu, P Yuan, J Keung Journal of Systems and Software, 2019 | 2 | 2019 |
| Quad-PRE: A Hybrid Method to Predict Protein Quaternary Structure Attributes Y Sheng, X Qiu, C Zhang, J Xu, Y Zhang, Z Wei, K Chen Computational and Mathematical Methods in Medicine, 2014 | 2 | 2014 |
| Scaled Simplex Representation for Subspace Clustering J Xu*, M Yu, L Shao, W Zuo, D Meng, L Zhang, D Zhang IEEE Transactions on Cybernetics. Matlab Code: https://github.com/csjunxu/SSRSC, 2019 | 1 | 2019 |
| Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image J Xu#, Y Huang#, MM Cheng, L Liu, F Zhu, L Shao https://csjunxu.github.io/paper/NAC.pdf, 2019 | 1 | 2019 |
| NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising Y Hou, J Xu*, M Liu, G Liu, L Liu, F Zhu, L Shao https://arxiv.org/abs/1906.06834, 2019 | 1 | 2019 |
David Zhang, Dapeng ZhangPresidential Chair Prof., Chinese Univ Hong Kong (SZ); Emeritus Prof., Hong Kong Polytech UnivVerified email at comp.polyu.edu.hk
