Ridgelets Frame. - Tan Shan; Licheng Jiao; Xiangchu Feng (ICIAR (1), 2004)

A New Watermarking Method Based on DWT. - Xiang-Chu Feng; Yongdong Yang (CIS (2), 2005)

Digital ridgelet reconstruction based on local dual frame. - Jian Bai; Xiangchu Feng (Sci. China Ser. F Inf. Sci., 2005)

Variational Decomposition Model in Besov Spaces and Negative Hilbert-Sobolev Spaces. - Min Li; Xiangchu Feng (CIS, 2006)

Image decomposition using optimally sparse representations and a variational approach. - Lingling Jiang; Xiangchu Feng; Haiqing Yin (Signal Image Video Process., 2007)

Fractional-Order Anisotropic Diffusion for Image Denoising. - Jian Bai; Xiangchu Feng (IEEE Trans. Image Process., 2007)

Structure and Texture Image Inpainting Using Sparse Representations and an Iterative Curvelet Thresholding Approach. - Lingling Jiang; Xiangchu Feng; Haiqing Yin (Int. J. Wavelets Multiresolution Inf. Process., 2008)

Iterative Regularization and Nonlinear Inverse Scale Space Based on Translation Invariant Wavelet Shrinkage. - Min Li; Binbin Hao; Xiangchu Feng (Int. J. Wavelets Multiresolution Inf. Process., 2008)

Variational Image Restoration and Decomposition with Curvelet Shrinkage. - Lingling Jiang; Xiangchu Feng; Haiqing Yin (J. Math. Imaging Vis., 2008)

Anisotropic Diffusion with Nonlinear Structure Tensor. - Weiwei Wang 005; Xiang-Chu Feng (Multiscale Model. Simul., 2008)

Wavelet iterative regularization for image restoration with varying scale parameter. - Binbin Hao; Min Li; Xiangchu Feng (Signal Process. Image Commun., 2008)

Variational Models for Fusion and Denoising of Multifocus Images. - Weiwei Wang 005; Peng-Lang Shui; Xiang-Chu Feng (IEEE Signal Process. Lett., 2008)

Fisher Discrimination Dictionary Learning for sparse representation. - Meng Yang 001; Lei Zhang 006; Xiangchu Feng; David Zhang 001 (ICCV, 2011)

Sparse representation or collaborative representation: Which helps face recognition? - Lei Zhang 006; Meng Yang 001; Xiangchu Feng (ICCV, 2011)

Collaborative Representation based Classification for Face Recognition - Lei Zhang 006; Meng Yang 001; Xiangchu Feng; Yi Ma; David Zhang 001 (CoRR, 2012)

A new fast multiphase image segmentation algorithm based on nonconvex regularizer. - Yu Han 001; Weiwei Wang 005; Xiang-Chu Feng (Pattern Recognit., 2012)

Image decomposition via learning the morphological diversity. - Yafeng Li; Xiangchu Feng (Pattern Recognit. Lett., 2012)

Multiplicative noise removal via sparse and redundant representations over learned dictionaries and total variation. - Yan Hao; Xiang-Chu Feng; Jianlou Xu (Signal Process., 2012)

Perceptual Fidelity Aware Mean Squared Error. - Wufeng Xue; Xuanqin Mou; Lei Zhang 006; Xiangchu Feng (ICCV, 2013)

A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding. - Wangmeng Zuo; Deyu Meng; Lei Zhang 006; Xiangchu Feng; David Zhang 001 (ICCV, 2013)

Learning smooth dictionary for image denoising. - Leigang Huo; Xiangchu Feng; Chunhong Pan; Shiming Xiang; Chunlei Huo (ICNC, 2013)

Iterative reweighted total generalized variation based Poisson noise removal model. - Xu-Dong Wang; Xiangchu Feng; Weiwei Wang 005; Wen-Juan Zhang (Appl. Math. Comput., 2013)

Gradient-based Wiener filter for image denoising. - Xiaobo Zhang; Xiang-Chu Feng; Weiwei Wang 005; Shunli Zhang; Qunfeng Dong (Comput. Electr. Eng., 2013)

Coupled dictionary learning method for image decomposition. - Yafeng Li; Xiangchu Feng (Sci. China Inf. Sci., 2013)

Two Curvelets variational Models Depend on Decomposition Spaces. - Guojun Liu; Xiang-Chu Feng; Weiwei Wang 005; Xuande Zhang (Int. J. Wavelets Multiresolution Inf. Process., 2013)

Variational and PCA based natural image segmentation. - Yu Han 001; Xiang-Chu Feng; George Baciu (Pattern Recognit., 2013)

Nonconvex sparse regularizer based speckle noise removal. - Yu Han 001; Xiang-Chu Feng; George Baciu; Weiwei Wang 005 (Pattern Recognit., 2013)

Local joint entropy based non-rigid multimodality image registration. - Yu Han 001; Xiang-Chu Feng; George Baciu (Pattern Recognit. Lett., 2013)

Image denoising via 2D dictionary learning and adaptive hard thresholding. - Xuande Zhang; Xiang-Chu Feng; Weiwei Wang 005; Guojun Liu (Pattern Recognit. Lett., 2013)

Edge Strength Similarity for Image Quality Assessment. - Xuande Zhang; Xiang-Chu Feng; Weiwei Wang 005; Wufeng Xue (IEEE Signal Process. Lett., 2013)

Two-Direction Nonlocal Model for Image Denoising. - Xuande Zhang; Xiangchu Feng; Weiwei Wang 005 (IEEE Trans. Image Process., 2013)

Image Denoising Using Low-Rank Dictionary and Sparse Representation. - Tao Li; Weiwei Wang 005; Long Xu; Xiangchu Feng (CIS, 2014)

Weighted Nuclear Norm Minimization with Application to Image Denoising. - Shuhang Gu; Lei Zhang 006; Wangmeng Zuo; Xiangchu Feng (CVPR, 2014)

Support Vector Guided Dictionary Learning. - Sijia Cai; Wangmeng Zuo; Lei Zhang 006; Xiangchu Feng; Ping Wang 072 (ECCV (4), 2014)

Projective dictionary pair learning for pattern classification. - Shuhang Gu; Lei Zhang 006; Wangmeng Zuo; Xiangchu Feng (NIPS, 2014)

Adaptive variational models for image decomposition. - Jianlou Xu; Xiangchu Feng; Yan Hao; Yu Han 001 (Sci. China Inf. Sci., 2014)

On the Optimal Solution of Weighted Nuclear Norm Minimization. - Qi Xie; Deyu Meng; Shuhang Gu; Lei Zhang 006; Wangmeng Zuo; Xiangchu Feng; Zongben Xu (CoRR, 2014)

Multiplicative noise removal combining a total variation regularizer and a nonconvex regularizer. - Yu Han 001; Chen Xu 004; George Baciu; Xiangchu Feng (Int. J. Comput. Math., 2014)

Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification. - Meng Yang 001; Lei Zhang 006; Xiangchu Feng; David Zhang 001 (Int. J. Comput. Vis., 2014)

Optimization of the Regularization in Background and Foreground Modeling. - Si-Qi Wang; Xiang-Chu Feng (J. Appl. Math., 2014)

Multiple-step local Wiener filter with proper stopping in wavelet domain. - Xiaobo Zhang; Xiang-Chu Feng (J. Vis. Commun. Image Represent., 2014)

Change Field: A New Change Measure for VHR Images. - Leigang Huo; Xiangchu Feng; Chunlei Huo; Zhixin Zhou; Chunhong Pan (IEEE Geosci. Remote. Sens. Lett., 2014)

A coupled variational model for image denoising using a duality strategy and split Bregman. - Jianlou Xu; Xiangchu Feng; Yan Hao (Multidimens. Syst. Signal Process., 2014)

Image decomposition using adaptive second-order total generalized variation. - Jianlou Xu; Xiang-Chu Feng; Yan Hao; Yu Han 001 (Signal Image Video Process., 2014)

A novel image segmentation model with an edge weighting function. - Wen-Juan Zhang; Xiangchu Feng; Yu Han 001 (Signal Image Video Process., 2014)

Salient edge and region aware image retargeting. - Weiwei Wang 005; Dong Zhai; Tao Li; Xiangchu Feng (Signal Process. Image Commun., 2014)

Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features. - Wufeng Xue; Xuanqin Mou; Lei Zhang 006; Alan C. Bovik; Xiangchu Feng (IEEE Trans. Image Process., 2014)

Convolutional Sparse Coding for Image Super-Resolution. - Shuhang Gu; Wangmeng Zuo; Qi Xie; Deyu Meng; Xiangchu Feng; Lei Zhang 006 (ICCV, 2015)

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. - Jun Xu 019; Lei Zhang 006; Wangmeng Zuo; David Zhang 001; Xiangchu Feng (ICCV, 2015)

Learning Deep Dictionary for Hyperspectral Image Denoising. - Leigang Huo; Xiangchu Feng; Chunlei Huo; Chunhong Pan (IEICE Trans. Inf. Syst., 2015)

Image denoising using local adaptive layered Wiener filter in the gradient domain. - Xiaobo Zhang; Xiangchu Feng (Multim. Tools Appl., 2015)

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

A Probabilistic Collaborative Representation Based Approach for Pattern Classification. - Sijia Cai; Lei Zhang 006; Wangmeng Zuo; Xiangchu Feng (CVPR, 2016)

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

Subspace clustering by weighted correlation adaptive regression. - Weiwei Wang 005; Cui-Ling Wu; Hua Huang; Xiang-Chu Feng (ICMLC, 2016)

A Self-Representation Induced Classifier. - Pengfei Zhu 001; Lei Zhang 006; Wangmeng Zuo; Xiangchu Feng; Qinghua Hu (IJCAI, 2016)

A fusion estimation method based on fractional Fourier transform. - Lihong Chang; Xiangchu Feng; Xiaoping Li; Rui Zhang 045 (Digit. Signal Process., 2016)

Image denoising via bidirectional low rank representation with cluster adaptive dictionary. - Xiaoping Li; Weiwei Wang 005; Xiangchu Feng; Xiaoyan Liu; Liang Luo (IET Image Process., 2016)

"Low-rank + dual" model based dimensionality reduction. - Si-Qi Wang; Xiang-Chu Feng; Weiwei Wang 005 (Neurocomputing, 2016)

A multiscale image segmentation method. - Yafeng Li; Xiangchu Feng (Pattern Recognit., 2016)

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

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. - Jun Xu 019; Lei Zhang 006; David Zhang 001; Xiangchu Feng (ICCV, 2017)

Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation. - Jing Yuan 001; Ke Yin; Yi-Guang Bai; Xiang-Chu Feng; Xue-Cheng Tai (SSVM, 2017)

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision. - Shuhang Gu; Qi Xie; Deyu Meng; Wangmeng Zuo; Xiangchu Feng; Lei Zhang 006 (Int. J. Comput. Vis., 2017)

Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. - Liang Lin; Guangrun Wang; Wangmeng Zuo; Xiangchu Feng; Lei Zhang 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Global sparse gradient guided variational Retinex model for image enhancement. - Rui Zhang 045; Xiangchu Feng; Lixia Yang; Lihong Chang; Chen Xu 004 (Signal Process. Image Commun., 2017)

Single Image Dehazing Method Based on Cartoon-Texture Decomposition. - Xiangchu Feng; Shuai Ma; Bingzhe Wei (CSAE, 2018)

Non-Local Means Denoising Algorithm Based on the Kernelized L2-Norm. - Xiaoyan Liu; Xiang-Chu Feng; Xiaoping Li; Zhi-Qin Zhao (ICMLC, 2018)

Discriminative and coherent subspace clustering. - Huazhu Chen; Weiwei Wang 005; Xiangchu Feng; Ruiqiang He (Neurocomputing, 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)

Image Denoising Using Generalized Anisotropic Diffusion. - Jian Bai; Xiang-Chu Feng (J. Math. Imaging Vis., 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)

Structured Sparse Subspace Clustering with Within-Cluster Grouping. - Huazhu Chen; Weiwei Wang 005; Xiangchu Feng (Pattern Recognit., 2018)

Subspace Segmentation by Correlation Adaptive Regression. - Weiwei Wang 005; Binbin Zhang; Xiangchu Feng (IEEE Trans. Circuits Syst. Video Technol., 2018)

Hybrid Probabilistic Sparse Coding With Spatial Neighbor Tensor for Hyperspectral Imagery Classification. - Lixia Yang; Min Wang 007; Shuyuan Yang 001; Hui Zhao; Licheng Jiao; Xiangchu Feng (IEEE Trans. Geosci. Remote. Sens., 2018)

Unified Discriminative and Coherent Semi-Supervised Subspace Clustering. - Weiwei Wang 005; Chunyu Yang 002; Huazhu Chen; Xiangchu Feng (IEEE Trans. Image Process., 2018)

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

Combination of FFST and SR: A New Multi-Focus Image Fusion Strategy. - Bingzhe Wei; Xiangchu Feng; Weiwei Wang 005; Ruiqiang He (ICCPR, 2019)

Group Discriminative Least Square Regression. - Chunyu Yang 002; Weiwei Wang 005; Xiangchu Feng (ISICDM, 2019)

Subspace Clustering by Relaxed Block Diagonal Representation. - Qian Wang; Weiwei Wang 005; Xiangchu Feng (ISICDM, 2019)

A global sparse gradient based coupled system for image denoising. - Rui Zhang 045; Xiangchu Feng; Lixia Yang; Lihong Chang; Xiaolong Zhu (Comput. Math. Appl., 2019)

CT and MRI image fusion based on multiscale decomposition method and hybrid approach. - Lihong Chang; Xiangchu Feng; Xiaolong Zhu; Rui Zhang 045; Ruiqiang He; Chen Xu 004 (IET Image Process., 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)

Plug-and-Play Based Optimization Algorithm for New Crime Density Estimation. - Xiang-Chu Feng; Chen-ping Zhao; Silong Peng; Xiyuan Hu; Zhao-Wei Ouyang (J. Comput. Sci. Technol., 2019)

A stochastic image denoising method based on adaptive patch-size. - Liang Luo; Zhi-Qin Zhao; Xiaoping Li; Xiang-Chu Feng (Multidimens. Syst. Signal Process., 2019)

Anisotropic Diffusion Based Multiplicative Speckle Noise Removal. - Mei Gao; Baosheng Kang; Xiangchu Feng; Wei Zhang 162; Wenjuan Zhang (Sensors, 2019)

Weighted-l1-method-noise regularization for image deblurring. - Chunyu Yang 002; Weiwei Wang 005; Xiangchu Feng; Xin Liu (Signal Process., 2019)

A variational image segmentation method exploring both intensity means and texture patterns. - Yafeng Li; Qijun Zhao; Xiangchu Feng; Weiwei Wang 005; Renrui Zhang; An Yan 004 (Signal Process. Image Commun., 2019)

The multi-focus image fusion method based on CNN and SR. - Bingzhe Wei; Xiangchu Feng; Kun Wang 027; Bing Gao (ACAI, 2020)

LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform. - Lida Li; Kun Wang 027; Shuai Li 014; Xiangchu Feng; Lei Zhang 006 (ECCV (10), 2020)

Low Dimensional Manifold Regularization Based Blind Image Inpainting and Non-Uniform Impulse Noise Recovery. - Mei Gao; Baosheng Kang; Xiangchu Feng; Lixia Cao; Wenjuan Zhang (IEEE Access, 2020)

Classification-Friendly Sparse Encoder and Classifier Learning. - Chunyu Yang 002; Weiwei Wang 005; Xiangchu Feng; Shuisheng Zhou (IEEE Access, 2020)

A Manifold Laplacian Regularized Semi-Supervised Sparse Image Classification Method With a Variant Trace Lasso Norm. - Wenjuan Zhang; Xiangchu Feng; Yunmei Chen (IEEE Access, 2020)

Image decomposition and denoising using fractional-order partial differential equations. - Jian Bai; Xiang-Chu Feng (IET Image Process., 2020)

W-LDMM: A Wasserstein driven low-dimensional manifold model for noisy image restoration. - Ruiqiang He; Xiangchu Feng; Weiwei Wang 005; Xiaolong Zhu; Chunyu Yang 002 (Neurocomputing, 2020)

Group discriminative least square regression for multicategory classification. - Chunyu Yang 002; Weiwei Wang 005; Xiangchu Feng; Ruiqiang He (Neurocomputing, 2020)

3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion. - Bingzhe Wei; Xiangchu Feng; Weiwei Wang 005 (IEEE Access, 2021)

The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation. - Bingzhe Wei; Xiangchu Feng; Kun Wang 027; Bian Gao (Entropy, 2021)

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

A class of bilinear matrix constraint optimization problem and its applications. - Wenjuan Zhang; Xiangchu Feng; Feng Xiao; Xudong Wang (Knowl. Based Syst., 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)

Towards Robust 2D Convolution for Reliable Visual Recognition. - Lida Li; Shuai Li 014; Kun Wang 027; Xiangchu Feng; Lei Zhang 006 (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)

Game theory based Bi-domanial deep subspace clustering. - Tingting Qi; Xiangchu Feng; Weiwei Wang 005; Xiaofang Li (Inf. Sci., 2022)

Weighted Nuclear Norms of Transformed Tensors for Nonlocal Hyperspectral Image Denoising. - Rui Zhang 045; Lixia Yang; Guojun Liu; Xiangchu Feng (IEEE Geosci. Remote. Sens. Lett., 2022)

Joint image restoration and edge detection in cooperative game formulation. - Chunyu Yang 002; Weiwei Wang 005; Xiangchu Feng (Signal Process., 2022)

A new variational method for selective segmentation of medical images. - Wenxiu Zhao; Weiwei Wang 005; Xiangchu Feng; Yu Han 001 (Signal Process., 2022)

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

Base on the Public Scientific Quality Improvement Research on Risk Early Warning of Online Shopping. - Xiaoyan Li; Lixia Cao; Tonghui Wang; Xiangchu Feng (Wirel. Pers. Commun., 2022)

Fractional Order Image Registration Model Based on Infimal Convolution. - Xiaoxiao Tan; Xiangchu Feng (ICCPR, 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)

Cartoon-Texture decomposition with patch-wise decorrelation. - Xiaofang Li; Weiwei Wang 005; Xiangchu Feng; Tingting Qi (J. Vis. Commun. Image Represent., 2023)

Accelerated Scaled Gradient Descent Algorithm For Low-Rank Matrix Factorization. - Xiaojing Jia; Xiangchu Feng; Hua Wu (ICCEIC, 2024)

Deep parametric Retinex decomposition model for low-light image enhancement. - Xiaofang Li; Weiwei Wang 005; Xiangchu Feng; Min Li (Comput. Vis. Image Underst., 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)

An end-to-end Graph Convolutional Network for Semi-supervised Subspace Clustering via label self-expressiveness. - Tingting Qi; Xiangchu Feng; Bian Gao; Kun Wang 027 (Knowl. Based Syst., 2024)

A game model for semi-supervised subspace clustering with dynamic affinity and label learning. - Tingting Qi; Xiangchu Feng; Weiwei Wang 005 (Signal Process., 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)

Grownbb: Gromov-Wasserstein learning of neural best buddies for cross-domain correspondence. - Ruolan Tang; Weiwei Wang 005; Yu Han 001; Xiangchu Feng (Vis. Comput., 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)

Structure aware transfer function network for low light image enhancement. - Xiaofang Li; Weiwei Wang 005; Yu Han 001; Xiangchu Feng (Eng. Appl. Artif. Intell., 2025)

Noise variances and regularization learning gradient descent network for image deconvolution. - Shengjiang Kong; Weiwei Wang 005; Yu Han 001; Xiangchu Feng (J. Vis. Commun. Image Represent., 2025)

Correction of underwater images via fast centroid method and Wasserstein regularization. - Bian Gao; Xiangchu Feng; Weiwei Wang 005; Kun Wang 027 (Signal Process., 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)

An efficient representative coefficient total variation method for moving object detection in noisy videos. - Hui Zhu; Xiangchu Feng (Signal Image Video Process., 2025)

Underwater image restoration via transmission and Wasserstein distance constraints. - Bian Gao; Xiangchu Feng; Kun Wang 027; Hui Zhu (Inf. Fusion, 2026)