| FOCNet: A Fractional Optimal Control Network for Image Denoising X Jia, S Liu, X Feng, L Zhang IEEE International conference on Computer Vision and Pattern Recognition 39 …, 2019 | 147 | 2019 |
| A benchmark for edge-preserving image smoothing F Zhu, Z Liang, X Jia, L Zhang, Y Yu IEEE Transactions on Image Processing 28 (7), 3556-3570, 2019 | 70 | 2019 |
| Clustering based content and color adaptive tone mapping H Li, X Jia, L Zhang Computer Vision and Image Understanding 168, 37-49, 2018 | 49 | 2018 |
| Rank constrained nuclear norm minimization with application to image denoising X Jia, X Feng, W Wang Signal Processing 129, 1-11, 2016 | 32 | 2016 |
| Adaptive regularizer learning for low rank approximation with application to image denoising X Jia, X Feng, W Wang 2016 IEEE International Conference on Image Processing (ICIP), 3096-3100, 2016 | 27 | 2016 |
| A further study on the inequality constraints in stochastic configuration networks X Zhu, X Feng, W Wang, X Jia, R He Information Sciences 487, 77-83, 2019 | 23 | 2019 |
| Online Schatten quasi-norm minimization for robust principal component analysis X Jia, X Feng, W Wang, H Huang, C Xu Information Sciences 476, 83-94, 2019 | 16 | 2019 |
| Dual non-autonomous deep convolutional neural network for image denoising X Jia, X Feng, S Liu Information Sciences 572, 263-276, 2021 | 14 | 2021 |
| Deep red unfolding network for image restoration S Kong, W Wang, X Feng, X Jia IEEE Transactions on Image Processing 31, 852-867, 2021 | 12 | 2021 |
| Bayesian inference for adaptive low rank and sparse matrix estimation X Jia, X Feng, W Wang, C Xu, L Zhang Neurocomputing 291, 71-83, 2018 | 11 | 2018 |
| An extended variational image decomposition model for color image enhancement X Jia, X Feng, W Wang, L Zhang Neurocomputing 322, 216-228, 2018 | 10 | 2018 |
| Weight decay with tailored Adam on scale-invariant weights for better generalization X Jia, X Feng, H Yong, D Meng IEEE Transactions on Neural Networks and Learning Systems, 2022 | 8 | 2022 |
| Imbalanced semi-supervised learning with bias adaptive classifier R Wang, X Jia, Q Wang, Y Wu, D Meng arXiv preprint arXiv:2207.13856, 2022 | 7 | 2022 |
| Generalized unitarily invariant gauge regularization for fast low-rank matrix recovery X Jia, X Feng, W Wang, L Zhang IEEE Transactions on Neural Networks and Learning Systems 32 (4), 1627-1641, 2020 | 7 | 2020 |
| Root-transformation based multiplicative denoising model and its statistical analysis C Zhao, X Feng, X Jia, R He, C Xu Neurocomputing 275, 2666-2680, 2018 | 7 | 2018 |
| Improvement of BM3D algorithm based on wavelet and directed diffusion XC Feng, XH Li, WW Wang, XX Jia 2017 International Conference on Machine Vision and Information Technology …, 2017 | 7 | 2017 |
| Cba: Improving online continual learning via continual bias adaptor Q Wang, R Wang, Y Wu, X Jia, D Meng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion–advection equation X Jia, D Meng, X Zhang, X Feng Information Sciences 610, 345-358, 2022 | 5 | 2022 |
| Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers R Wang, K Xiao, X Jia, X Han, D Meng arXiv preprint arXiv:2112.02353, 2021 | 5 | 2021 |
| A divide-and-conquer stochastic alterable direction image denoising method X Feng, L Luo, X Jia, W Wang Signal Processing 108, 90-101, 2015 | 4 | 2015 |
Weiwei WangXidian UniversityVerified email at mail.xidian.edu.cn
