A divide-and-conquer stochastic alterable direction image denoising method. - Xiangchu Feng; Liang Luo; Xixi Jia; Weiwei Wang 005 (Signal Process., 2015)

Adaptive regularizer learning for low rank approximation with application to image denoising. - Xixi Jia; Xiangchu Feng; Weiwei Wang 005 (ICIP, 2016)

Rank constrained nuclear norm minimization with application to image denoising. - Xixi Jia; Xiangchu Feng; Weiwei Wang 005 (Signal Process., 2016)

Clustering based content and color adaptive tone mapping. - Hui Li 029; Xixi Jia; Lei Zhang 006 (Comput. Vis. Image Underst., 2018)

Bayesian inference for adaptive low rank and sparse matrix estimation. - Xixi Jia; Xiangchu Feng; Weiwei Wang 005; Chen Xu 004; Lei Zhang 006 (Neurocomputing, 2018)

An extended variational image decomposition model for color image enhancement. - Xixi Jia; Xiangchu Feng; Weiwei Wang 005; Lei Zhang 006 (Neurocomputing, 2018)

Root-transformation based multiplicative denoising model and its statistical analysis. - Chen-ping Zhao; Xiangchu Feng; Xixi Jia; Ruiqiang He; Chen Xu 004 (Neurocomputing, 2018)

HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration. - Xiaolong Zhu; Xiangchu Feng; Weiwei Wang 005; Xixi Jia; Rui Zhang 045; Ruiqiang He; Chen Xu 004 (J. Vis. Commun. Image Represent., 2018)

FOCNet: A Fractional Optimal Control Network for Image Denoising. - Xixi Jia; Sanyang Liu; Xiangchu Feng; Lei Zhang 006 (CVPR, 2019)

Online Schatten quasi-norm minimization for robust principal component analysis. - Xixi Jia; Xiangchu Feng; Weiwei Wang 005; Hua Huang; Chen Xu 004 (Inf. Sci., 2019)

A further study on the inequality constraints in stochastic configuration networks. - Xiaolong Zhu; Xiangchu Feng; Weiwei Wang 005; Xixi Jia; Ruiqiang He (Inf. Sci., 2019)

A Benchmark for Edge-Preserving Image Smoothing. - Feida Zhu 002; Zhetong Liang; Xixi Jia; Lei Zhang 006; Yizhou Yu (IEEE Trans. Image Process., 2019)

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers. - Renzhen Wang; De Cai; Kaiwen Xiao; Xixi Jia; Xiao Han 011; Deyu Meng (CoRR, 2021)

Dual non-autonomous deep convolutional neural network for image denoising. - Xixi Jia; Xiangchu Feng; Sanyang Liu (Inf. Sci., 2021)

Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery. - Xixi Jia; Xiangchu Feng; Weiwei Wang 005; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning to Adapt Classifier for Imbalanced Semi-supervised Learning. - Renzhen Wang; Xixi Jia; Quanziang Wang; Deyu Meng (CoRR, 2022)

PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation. - Xixi Jia; Deyu Meng; Xuande Zhang; Xiangchu Feng (Inf. Sci., 2022)

Deep RED Unfolding Network for Image Restoration. - Shengjiang Kong; Weiwei Wang 005; Xiangchu Feng; Xixi Jia (IEEE Trans. Image Process., 2022)

CBA: Improving Online Continual Learning via Continual Bias Adaptor. - Quanziang Wang; Renzhen Wang; Yichen Wu; Xixi Jia; Deyu Meng (ICCV, 2023)

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier. - Renzhen Wang; Xixi Jia; Quanziang Wang; Yichen Wu; Deyu Meng (ICLR, 2023)

Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent. - Xixi Jia; Hailin Wang; Jiangjun Peng; Xiangchu Feng; Deyu Meng (NeurIPS, 2023)

Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing. - Xixi Jia; Fangchen Feng; Deyu Meng; Defeng Sun (NeurIPS, 2024)

Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective. - Quanziang Wang; Renzhen Wang; Yichen Wu; Xixi Jia; Minghao Zhou; Deyu Meng (CoRR, 2024)

Transformer Autoencoder for K-means Efficient clustering. - Wenhao Wu; Weiwei Wang 005; Xixi Jia; Xiangchu Feng (Eng. Appl. Artif. Intell., 2024)

Iterative decoupling deconvolution network for image restoration. - Yixing Ji; Shengjiang Kong; Weiwei Wang 005; Xixi Jia; Xiangchu Feng (J. Vis. Commun. Image Represent., 2024)

Stable Local-Smooth Principal Component Pursuit. - Jiangjun Peng; Hailin Wang; Xiangyong Cao; Xixi Jia; Hongying Zhang 001; Deyu Meng (SIAM J. Imaging Sci., 2024)

A variable parameter variational model with application to real image denoising. - Kun Wang 027; Xiangchu Feng; Xixi Jia; Tingting Qi (Signal Process., 2024)

Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization. - Xixi Jia; Xiangchu Feng; Hongwei Yong; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Local Gaussian ensemble for arbitrary-scale image super-resolution. - Chuan Chen; Weiwei Wang 005; Xixi Jia; Xiangchu Feng; Hanjia Wei (Comput. Vis. Image Underst., 2025)

Noise Blind Deep Residual Wiener Deconvolution network for image deblurring. - Shengjiang Kong; Weiwei Wang 005; Xiangchu Feng; Xixi Jia (Digit. Signal Process., 2025)

JIRE-Net: Low-light image enhancement with joint enhancement network of illumination and reflection maps. - Yan Wang; Guohong Gao; Chen-ping Zhao; Xixi Jia; Jianmin Wang 001; Shousheng Luo; Zhiyu Li (Digit. Signal Process., 2025)

NamPnP: Noise-Aware mechanism within Plug-and-Play framework for image enhancement. - Chenping Zhao; Yan Wang; Guohong Gao; Xixi Jia; Lijun Xu; Jianping Wang; Xiaofang Li (Neurocomputing, 2025)

OMLK-Net: An Online Multi-scale Large Separable Kernel Distillation Network for efficient image super-resolution. - Hanjia Wei; Weiwei Wang 005; Xixi Jia; Xiangchu Feng; Chuan Chen (Signal Process., 2025)