Weiwei Wang - RankMe

76 papers B 3C 3Misc 2Journal 64Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiffMCG: A diffusion model with mask-conditioned guiding module for medical image classification. Neural Networks Chen Guan, Haihong Ai, Weiwei Wang, Ravi P. Singh, Shiya Song
2026	J	`jnl`	Dirichlet variational information bottleneck: A flexible model for chest X-ray classification. Biomed. Signal Process. Control. Chen Guan, Haihong Ai, Weiwei Wang, Ravi P. Singh
2026	J	`jnl`	Enhancing self-supervised image denoising with asymmetric mask blind-spot network. Vis. Comput. Yujie Wang, Weiwei Wang, Yi Wu, Kaige Cui
2026	J	`jnl`	Large Kernel Information-interaction Network for single image super-resolution. Comput. Vis. Image Underst. Yi Wu, Weiwei Wang, Yujie Wang, Kaige Cui
2026	J	`jnl`	Nonconvex tensor multiview subspace clustering with bipartite graph regularization. Pattern Recognit. Min Li, Xue Yao, Mingqing Xiao, Weiwei Wang
2026	J	`jnl`	Nonuniform low-light image enhancement based on game-retinex variational and adaptive vector-valued gamma correction. Inf. Sci. Wenyang Wei, Xiangchu Feng, Wenhang Song, Tiantian Liu, Weiwei Wang
2025	J	`jnl`	A White-Box Module for Medical Image Multi-Classification via Bias Dendrite Net. IEEE Trans. Instrum. Meas. Chen Guan, Weiwei Wang, Haihong Ai, Ravi P. Singh
2025	J	`jnl`	Correction of underwater images via fast centroid method and Wasserstein regularization. Signal Process. Bian Gao, Xiangchu Feng, Weiwei Wang, Kun Wang
2025	J	`jnl`	Edge Enhancing Based Blind Kernel Estimation for Deep Image Deblurring. Circuits Syst. Signal Process. Chunyu Yang, Weiwei Wang
2025	J	`jnl`	IllumFlow: Illumination-Adaptive Low-Light Enhancement via Conditional Rectified Flow and Retinex Decomposition. CoRR Wenyang Wei, Yang Yang, Xixi Jia, Xiangchu Feng, Weiwei Wang, Renzhen Wang
2025	J	`jnl`	Local Gaussian ensemble for arbitrary-scale image super-resolution. Comput. Vis. Image Underst. Chuan Chen, Weiwei Wang, Xixi Jia, Xiangchu Feng, Hanjia Wei
2025	J	`jnl`	Multi-CNNs with variational information bottleneck for chest X-ray classification. J. Supercomput. Chen Guan, Haihong Ai, Weiwei Wang, Ravi P. Singh
2025	J	`jnl`	Noise Blind Deep Residual Wiener Deconvolution network for image deblurring. Digit. Signal Process. Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia
2025	J	`jnl`	Noise variances and regularization learning gradient descent network for image deconvolution. J. Vis. Commun. Image Represent. Shengjiang Kong, Weiwei Wang, Yu Han, Xiangchu Feng
2025	J	`jnl`	OMLK-Net: An Online Multi-scale Large Separable Kernel Distillation Network for efficient image super-resolution. Signal Process. Hanjia Wei, Weiwei Wang, Xixi Jia, Xiangchu Feng, Chuan Chen
2025	J	`jnl`	Structure aware transfer function network for low light image enhancement. Eng. Appl. Artif. Intell. Xiaofang Li, Weiwei Wang, Yu Han, Xiangchu Feng
2024	J	`jnl`	A game model for semi-supervised subspace clustering with dynamic affinity and label learning. Signal Process. Tingting Qi, Xiangchu Feng, Weiwei Wang
2024	J	`jnl`	Deep parametric Retinex decomposition model for low-light image enhancement. Comput. Vis. Image Underst. Xiaofang Li, Weiwei Wang, Xiangchu Feng, Min Li
2024	J	`jnl`	Grownbb: Gromov-Wasserstein learning of neural best buddies for cross-domain correspondence. Vis. Comput. Ruolan Tang, Weiwei Wang, Yu Han, Xiangchu Feng
2024	J	`jnl`	Iterative decoupling deconvolution network for image restoration. J. Vis. Commun. Image Represent. Yixing Ji, Shengjiang Kong, Weiwei Wang, Xixi Jia, Xiangchu Feng
2024	J	`jnl`	Transformer Autoencoder for K-means Efficient clustering. Eng. Appl. Artif. Intell. Wenhao Wu, Weiwei Wang, Xixi Jia, Xiangchu Feng
2023	J	`jnl`	Cartoon-Texture decomposition with patch-wise decorrelation. J. Vis. Commun. Image Represent. Xiaofang Li, Weiwei Wang, Xiangchu Feng, Tingting Qi
2023	—	`conf`	Deep Structure and Attention Aware Subspace Clustering. PRCV (4) Wenhao Wu, Weiwei Wang, Shengjiang Kong
2023	J	`jnl`	Deep Structure and Attention Aware Subspace Clustering. CoRR Wenhao Wu, Weiwei Wang, Shengjiang Kong
2022	J	`jnl`	A new variational method for selective segmentation of medical images. Signal Process. Wenxiu Zhao, Weiwei Wang, Xiangchu Feng, Yu Han
2022	J	`jnl`	Coupled block diagonal regularization for multi-view subspace clustering. Data Min. Knowl. Discov. Huazhu Chen, Weiwei Wang, Shousheng Luo
2022	J	`jnl`	Deep RED Unfolding Network for Image Restoration. IEEE Trans. Image Process. Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia
2022	J	`jnl`	Game theory based Bi-domanial deep subspace clustering. Inf. Sci. Tingting Qi, Xiangchu Feng, Weiwei Wang, Xiaofang Li
2022	J	`jnl`	Joint image restoration and edge detection in cooperative game formulation. Signal Process. Chunyu Yang, Weiwei Wang, Xiangchu Feng
2022	J	`jnl`	Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views. Appl. Intell. Huazhu Chen, Xuecheng Tai, Weiwei Wang
2021	J	`jnl`	3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion. IEEE Access Bingzhe Wei, Xiangchu Feng, Weiwei Wang
2021	J	`jnl`	Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery. IEEE Trans. Neural Networks Learn. Syst. Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang
2020	Misc	`conf`	A Method for Millimeter-Wave Imaging of Concealed Objects Via De-Aliasing. ICASSP Weiwei Wang, Kehu Yang
2020	J	`jnl`	Classification-Friendly Sparse Encoder and Classifier Learning. IEEE Access Chunyu Yang, Weiwei Wang, Xiangchu Feng, Shuisheng Zhou
2020	J	`jnl`	Group discriminative least square regression for multicategory classification. Neurocomputing Chunyu Yang, Weiwei Wang, Xiangchu Feng, Ruiqiang He
2020	J	`jnl`	W-LDMM: A Wasserstein driven low-dimensional manifold model for noisy image restoration. Neurocomputing Ruiqiang He, Xiangchu Feng, Weiwei Wang, Xiaolong Zhu, Chunyu Yang
2019	J	`jnl`	A further study on the inequality constraints in stochastic configuration networks. Inf. Sci. Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Ruiqiang He
2019	J	`jnl`	A sparse robust model for large scale multi-class classification based on K-SVCR. Pattern Recognit. Lett. Jiajun Ma, Shuisheng Zhou, Li Chen, Weiwei Wang, Zhuan Zhang
2019	J	`jnl`	A variational image segmentation method exploring both intensity means and texture patterns. Signal Process. Image Commun. Yafeng Li, Qijun Zhao, Xiangchu Feng, Weiwei Wang, Renrui Zhang, An Yan
2019	—	`conf`	Combination of FFST and SR: A New Multi-Focus Image Fusion Strategy. ICCPR Bingzhe Wei, Xiangchu Feng, Weiwei Wang, Ruiqiang He
2019	B	`conf`	Discriminative Analysis Dictionary and Classifier Learning for Pattern Classification. ICIP Weiwei Wang, Chunyu Yang, Qiao Li
2019	—	`conf`	Group Discriminative Least Square Regression. ISICDM Chunyu Yang, Weiwei Wang, Xiangchu Feng
2019	J	`jnl`	Online Schatten quasi-norm minimization for robust principal component analysis. Inf. Sci. Xixi Jia, Xiangchu Feng, Weiwei Wang, Hua Huang, Chen Xu
2019	—	`conf`	Subspace Clustering by Relaxed Block Diagonal Representation. ISICDM Qian Wang, Weiwei Wang, Xiangchu Feng
2019	J	`jnl`	Weighted- Signal Process. Chunyu Yang, Weiwei Wang, Xiangchu Feng, Xin Liu
2018	J	`jnl`	An extended variational image decomposition model for color image enhancement. Neurocomputing Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang
2018	J	`jnl`	Bayesian inference for adaptive low rank and sparse matrix estimation. Neurocomputing Xixi Jia, Xiangchu Feng, Weiwei Wang, Chen Xu, Lei Zhang
2018	J	`jnl`	Discriminative and coherent subspace clustering. Neurocomputing Huazhu Chen, Weiwei Wang, Xiangchu Feng, Ruiqiang He
2018	J	`jnl`	HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration. J. Vis. Commun. Image Represent. Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Rui Zhang, Ruiqiang He, Chen Xu
2018	J	`jnl`	Structured Sparse Subspace Clustering with Within-Cluster Grouping. Pattern Recognit. Huazhu Chen, Weiwei Wang, Xiangchu Feng
2018	J	`jnl`	Subspace Segmentation by Correlation Adaptive Regression. IEEE Trans. Circuits Syst. Video Technol. Weiwei Wang, Binbin Zhang, Xiangchu Feng
2018	J	`jnl`	Unified Discriminative and Coherent Semi-Supervised Subspace Clustering. IEEE Trans. Image Process. Weiwei Wang, Chunyu Yang, Huazhu Chen, Xiangchu Feng
2017	J	`jnl`	Image segmentation by correlation adaptive weighted regression. Neurocomputing Weiwei Wang, Cui-Ling Wu
2016	J	`jnl`	"Low-rank + dual" model based dimensionality reduction. Neurocomputing Si-Qi Wang, Xiang-Chu Feng, Weiwei Wang
2016	B	`conf`	Adaptive regularizer learning for low rank approximation with application to image denoising. ICIP Xixi Jia, Xiangchu Feng, Weiwei Wang
2016	J	`jnl`	Image denoising via bidirectional low rank representation with cluster adaptive dictionary. IET Image Process. Xiaoping Li, Weiwei Wang, Xiangchu Feng, Xiaoyan Liu, Liang Luo
2016	J	`jnl`	Image segmentation by adaptive nonconvex local and global subspace representation. J. Electronic Imaging Cui-Ling Wu, Weiwei Wang
2016	J	`jnl`	Rank constrained nuclear norm minimization with application to image denoising. Signal Process. Xixi Jia, Xiangchu Feng, Weiwei Wang
2016	Misc	`conf`	Subspace clustering by weighted correlation adaptive regression. ICMLC Weiwei Wang, Cui-Ling Wu, Hua Huang, Xiang-Chu Feng
2015	J	`jnl`	A divide-and-conquer stochastic alterable direction image denoising method. Signal Process. Xiangchu Feng, Liang Luo, Xixi Jia, Weiwei Wang
2015	C	`conf`	Image Retargeting Based on a New Salient Region Detection Method. CIS Jing Li, Weiwei Wang, Xiaoping Li
2015	C	`conf`	Nonconvex Low-Rank Sparse Factorization for Image Segmentation. CIS Xiaoping Li, Weiwei Wang, Amir Razi, Tao Li
2014	C	`conf`	Image Denoising Using Low-Rank Dictionary and Sparse Representation. CIS Tao Li, Weiwei Wang, Long Xu, Xiangchu Feng
2014	J	`jnl`	Salient edge and region aware image retargeting. Signal Process. Image Commun. Weiwei Wang, Dong Zhai, Tao Li, Xiangchu Feng
2013	J	`jnl`	Edge Strength Similarity for Image Quality Assessment. IEEE Signal Process. Lett. Xuande Zhang, Xiang-Chu Feng, Weiwei Wang, Wufeng Xue
2013	J	`jnl`	Gradient-based Wiener filter for image denoising. Comput. Electr. Eng. Xiaobo Zhang, Xiang-Chu Feng, Weiwei Wang, Shunli Zhang, Qunfeng Dong
2013	J	`jnl`	Image denoising via 2D dictionary learning and adaptive hard thresholding. Pattern Recognit. Lett. Xuande Zhang, Xiang-Chu Feng, Weiwei Wang, Guojun Liu
2013	J	`jnl`	Iterative reweighted total generalized variation based Poisson noise removal model. Appl. Math. Comput. Xu-Dong Wang, Xiangchu Feng, Weiwei Wang, Wen-Juan Zhang
2013	J	`jnl`	Nonconvex sparse regularizer based speckle noise removal. Pattern Recognit. Yu Han, Xiang-Chu Feng, George Baciu, Weiwei Wang
2013	J	`jnl`	Two Curvelets variational Models Depend on Decomposition Spaces. Int. J. Wavelets Multiresolution Inf. Process. Guojun Liu, Xiang-Chu Feng, Weiwei Wang, Xuande Zhang
2013	J	`jnl`	Two-Direction Nonlocal Model for Image Denoising. IEEE Trans. Image Process. Xuande Zhang, Xiangchu Feng, Weiwei Wang
2012	J	`jnl`	A new fast multiphase image segmentation algorithm based on nonconvex regularizer. Pattern Recognit. Yu Han, Weiwei Wang, Xiang-Chu Feng
2008	J	`jnl`	Anisotropic Diffusion with Nonlinear Structure Tensor. Multiscale Model. Simul. Weiwei Wang, Xiang-Chu Feng
2008	J	`jnl`	Variational Models for Fusion and Denoising of Multifocus Images. IEEE Signal Process. Lett. Weiwei Wang, Peng-Lang Shui, Xiang-Chu Feng
2006	J	`jnl`	A new technique for generalized learning vector quantization algorithm. Image Vis. Comput. Shuisheng Zhou, Weiwei Wang, Li-Hua Zhou
2006	B	`conf`	Parameter Estimation and Two-Stage Segmentation Algorithm for the Chan-Vese Model. ICIP Zhengwen Li, Weiwei Wang, Penglang Shui