Jianjun Wang - RankMe

98 papers A* 2Misc 5Journal 84Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Auto-weighted tensor completion and its fast algorithm. Pattern Recognit. Xinnian Song, Guojun Liu, Jianjun Wang, Jing Yue
2026	J	`jnl`	Convergence-Guaranteed Spectral CT Reconstruction via Internal and External Prior Mining. IEEE Trans. Computational Imaging Chunyan Liu, Dianlin Hu, Jiangjun Peng, Hong Wang, Qianyu Shu, Jianjun Wang
2026	J	`jnl`	Double Nonconvex Tensor Robust Kernel Principal Component Analysis and Its Visual Applications. IEEE Trans. Image Process. Liang Wu, Jianjun Wang, Wei-Shi Zheng, Guangming Shi
2026	J	`jnl`	Generalized Subspace Coupling Approach for Robust Low-Tubal-Rank Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. Weichao Kong, Qingrong Feng, Qianyu Shu, Jianjun Wang, Tingwen Huang, Bin Zhang
2026	J	`jnl`	Multi-Dimensional Visual Data Recovery: Scale-Aware Tensor Modeling and Accelerated Randomized Computation. CoRR Wenjin Qin, Hailin Wang, Jiangjun Peng, Jianjun Wang, Tingwen Huang
2025	J	`jnl`	Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. Signal Process. Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang
2025	J	`jnl`	Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization. IEEE Trans. Geosci. Remote. Sens. Wenjin Qin, Hailin Wang, Hao Shu, Feng Zhang, Jianjun Wang, Xiangyong Cao, Xi-Le Zhao, Gemine Vivone
2025	J	`jnl`	Image denoising via double-weighted correlated total variation regularization. Appl. Intell. Zhihao Zhang, Peng Zhang, Xinling Liu, Jingyao Hou, Qingrong Feng, Jianjun Wang
2025	J	`jnl`	One-bit distributed compressed sensing with partial gaussian circulant matrices. Appl. Intell. Yuke Leng, Jingyao Hou, Xinling Liu, Jianjun Wang
2024	J	`jnl`	Enhanced Low-Rank Tensor Recovery Fusing Reweighted Tensor Correlated Total Variation Regularization for Image Denoising. J. Sci. Comput. Kai Huang, Weichao Kong, Min Zhou, Wenjin Qin, Feng Zhang, Jianjun Wang
2024	J	`jnl`	Low-tubal-rank tensor completion via local and nonlocal knowledge. Inf. Sci. Weichao Kong, Feng Zhang, Wenjin Qin, Qingrong Feng, Jianjun Wang
2024	J	`jnl`	Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation. IEEE Trans. Image Process. Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, Tingwen Huang
2024	J	`jnl`	Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction. IEEE Trans. Computational Imaging Chunyan Liu, Sui Li, Dianlin Hu, Jianjun Wang, Wenjin Qin, Chen Liu, Peng Zhang
2024	J	`jnl`	Poisson tensor completion with transformed correlated total variation regularization. Pattern Recognit. Qingrong Feng, Jingyao Hou, Weichao Kong, Chen Xu, Jianjun Wang
2024	J	`jnl`	Tensor Ring Decomposition-Based Generalized and Efficient Nonconvex Approach for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xiangyong Cao, Xi-Le Zhao
2024	J	`jnl`	Tensor completion via joint reweighted tensor Q-nuclear norm for visual data recovery. Signal Process. Xiaoyang Cheng, Weichao Kong, Xin Luo, Wenjin Qin, Feng Zhang, Jianjun Wang
2024	J	`jnl`	The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery. IEEE Trans. Neural Networks Learn. Syst. Jianwen Huang, Feng Zhang, Jianjun Wang, Xinling Liu, Jinping Jia
2023	Misc	`conf`	Deep Plug-and-Play for Tensor Robust Principal Component Analysis. ICASSP Hao Tan, Jianjun Wang, Weichao Kong
2023	J	`jnl`	Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. IEEE Trans. Pattern Anal. Mach. Intell. Jiangjun Peng, Yao Wang, Hong-Ying Zhang, Jianjun Wang, Deyu Meng
2023	J	`jnl`	Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting. Appl. Intell. Feng Zhang, Hailin Wang, Wenjin Qin, Xile Zhao, Jianjun Wang
2023	J	`jnl`	Guaranteed Tensor Recovery Fused Low-rankness and Smoothness. CoRR Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng
2023	J	`jnl`	Guaranteed Tensor Recovery Fused Low-rankness and Smoothness. IEEE Trans. Pattern Anal. Mach. Intell. Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng
2023	A*	`conf`	High-Order Tensor Recovery Coupling Multilayer Subspace Priori with Application in Video Restoration. ACM Multimedia Hao Tan, Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang
2023	J	`jnl`	Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng
2023	J	`jnl`	Low-Tubal-Rank tensor recovery with multilayer subspace prior learning. Pattern Recognit. Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang
2023	J	`jnl`	Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation. CoRR Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, Tingwen Huang
2023	J	`jnl`	One-bit compressed sensing via total variation minimization method. Signal Process. Yuxiang Zhong, Chen Xu, Bin Zhang, Jingyao Hou, Jianjun Wang
2023	J	`jnl`	Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery. Knowl. Based Syst. Feng Zhang, Lihao Yang, Jianjun Wang, Xin Luo
2023	A*	`conf`	Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. AAAI Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang
2023	J	`jnl`	Tensor Robust Principal Component Analysis From Multilevel Quantized Observations. IEEE Trans. Inf. Theory Jianjun Wang, Jingyao Hou, Yonina C. Eldar
2022	J	`jnl`	A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation. IEEE Trans. Pattern Anal. Mach. Intell. Xin Luo, Hao Wu, Zhi Wang, Jianjun Wang, Deyu Meng
2022	J	`jnl`	Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. CoRR Jiangjun Peng, Yao Wang, Hongying Zhang, Jianjun Wang, Deyu Meng
2022	J	`jnl`	Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery. IEEE Trans. Neural Networks Learn. Syst. Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu
2022	J	`jnl`	Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer. IEEE Trans. Neural Networks Learn. Syst. Zhi Wang, Yu Liu, Xin Luo, Jianjun Wang, Chao Gao, Dezhong Peng, Wu Chen
2022	J	`jnl`	Low-Rank High-Order Tensor Completion With Applications in Visual Data. IEEE Trans. Image Process. Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xin Luo, Tingwen Huang
2022	Misc	`conf`	Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation. ICASSP Wenjin Qin, Hailin Wang, Weijun Ma, Jianjun Wang
2022	J	`jnl`	Robust Low-Rank Matrix Recovery Fusing Local-Smoothness. IEEE Signal Process. Lett. Xinling Liu, Jingyao Hou, Jianjun Wang
2022	J	`jnl`	Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. IEEE Trans. Pattern Anal. Mach. Intell. Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng
2021	J	`jnl`	An optimal condition of robust low-rank matrices recovery. Int. J. Wirel. Mob. Comput. Jianwen Huang, Sanfu Wang, Jianjun Wang, Feng Zhang, Hailin Wang, Jinping Jia
2021	J	`jnl`	Denoising convolutional neural network inspired via multi-layer convolutional sparse coding. J. Electronic Imaging Zejia Wen, Hailin Wang, Yingfan Gong, Jianjun Wang
2021	J	`jnl`	Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information. IEEE Trans. Pattern Anal. Mach. Intell. Feng Zhang, Jianjun Wang, Wendong Wang, Chen Xu
2021	Misc	`conf`	Non-Convex Sparse Deviation Modeling Via Generative Models. ICASSP Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang
2021	J	`jnl`	Performance guarantees of transformed Schatten-1 regularization for exact low-rank matrix recovery. Int. J. Mach. Learn. Cybern. Zhi Wang, Dong Hu, Xiaohu Luo, Wendong Wang, Jianjun Wang, Wu Chen
2021	J	`jnl`	Perturbation analysis of low-rank matrix stable recovery. Int. J. Wavelets Multiresolution Inf. Process. Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang
2021	J	`jnl`	Robust low-rank tensor reconstruction using high-order t-SVD. J. Electronic Imaging Wenjin Qin, Hailin Wang, Feng Zhang, Mingwei Dai, Jianjun Wang
2021	J	`jnl`	Tensor restricted isometry property analysis for a large class of random measurement ensembles. Sci. China Inf. Sci. Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang
2020	J	`jnl`	Accelerated inexact matrix completion algorithm via closed-form q-thresholding (q = 1/2, 2/3) operator. Int. J. Mach. Learn. Cybern. Zhi Wang, Chao Gao, Xiaohu Luo, Ming Tang, Jianjun Wang, Wu Chen
2020	J	`jnl`	An Optimal Condition of Robust Low-rank Matrices Recovery. CoRR Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang
2020	J	`jnl`	An analysis of noise folding for low-rank matrix recovery. CoRR Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang
2020	J	`jnl`	CMCS-net: image compressed sensing with convolutional measurement via DCNN. IET Image Process. Yahong Xie, Hailin Wang, Jianjun Wang
2020	Misc	`conf`	Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. ICASSP Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang
2020	Misc	`conf`	Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. ICASSP Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang
2020	J	`jnl`	RIP-based performance guarantee for low-tubal-rank tensor recovery. J. Comput. Appl. Math. Feng Zhang, Wendong Wang, Jianwen Huang, Jianjun Wang, Yao Wang
2020	J	`jnl`	Robust principal component analysis with intra-block correlation. Neurocomputing Can Jiang, Feng Zhang, Jianjun Wang, Chan-Yun Yang, Wendong Wang
2020	J	`jnl`	The high-order block RIP for non-convex block-sparse compressed sensing. CoRR Jianwen Huang, Xinling Liu, Jingyao Hou, Jianjun Wang
2020	J	`jnl`	The perturbation analysis of nonconvex low-rank matrix robust recovery. CoRR Jianwen Huang, Wendong Wang, Feng Zhang, Jianjun Wang
2020	J	`jnl`	Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem. IEEE Signal Process. Lett. Feng Zhang, Jingyao Hou, Jianjun Wang, Wendong Wang
2019	J	`jnl`	A nonconvex penalty function with integral convolution approximation for compressed sensing. Signal Process. Jianjun Wang, Feng Zhang, Jianwen Huang, Wendong Wang, Changan Yuan
2019	J	`jnl`	Block-sparse signal recovery based on truncated ℓ 1 minimisation in non-Gaussian noise. IET Commun. Qingrong Feng, Jianjun Wang, Feng Zhang
2019	J	`jnl`	Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond. IEEE Access Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang
2019	J	`jnl`	Deterministic Analysis of Weighted BPDN With Partially Known Support Information. CoRR Wendong Wang, Jianjun Wang
2019	J	`jnl`	Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator. Neurocomputing Zhi Wang, Wendong Wang, Jianjun Wang, Siqi Chen
2019	J	`jnl`	Image denoising in impulsive noise via weighted Schatten p -norm regularization. J. Electronic Imaging Gang Chen, Jianjun Wang, Feng Zhang, Wendong Wang
2019	J	`jnl`	RIP-based performance guarantee for low-tubal-rank tensor recovery. CoRR Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang
2019	J	`jnl`	Sharp sufficient condition of block signal recovery via IET Signal Process. Jianwen Huang, Jianjun Wang, Wendong Wang, Feng Zhang
2019	J	`jnl`	Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles. CoRR Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang
2018	J	`jnl`	A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov's Rule. IEEE Access Zhi Wang, Jianjun Wang, Wendong Wang, Chao Gao, Siqi Chen
2018	J	`jnl`	An inertial projection neural network for sparse signal reconstruction via l1-2 minimization. Neurocomputing Lijuan Zhu, Jianjun Wang, Xing He, You Zhao
2018	J	`jnl`	Block-sparse signal recovery via ℓ 2 / ℓ 1 - 2 minimisation method. IET Signal Process. Wendong Wang, Jianjun Wang, Zili Zhang
2018	J	`jnl`	Coherence-Based Performance Guarantee of Regularized 𝓁 CoRR Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang
2018	J	`jnl`	New Sufficient Conditions of Signal Recovery With Tight Frames via l IEEE Access Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang
2018	J	`jnl`	Perturbations of Compressed Data Separation With Redundant Tight Frames. IEEE Access Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang
2018	J	`jnl`	Reconstruction analysis of block-sparse signal via truncated ℓ 2 / ℓ 1 -minimisation with redundant dictionaries. IET Signal Process. Jiayi Liu, Jianjun Wang, Feng Zhang
2018	J	`jnl`	基于子空间阈值追踪的矩阵修补算法 (Matrix Completion Algorithm Based on Subspace Thresholding Pursuit). 计算机科学 Zhi Wang, Jianjun Wang, Wendong Wang
2017	J	`jnl`	Non-convex block-sparse compressed sensing with redundant dictionaries. IET Signal Process. Chunyan Liu, Jianjun Wang, Wendong Wang, Zhi Wang
2017	J	`jnl`	Robust Signal Recovery With Highly Coherent Measurement Matrices. IEEE Signal Process. Lett. Wendong Wang, Jianjun Wang, Zili Zhang
2016	J	`jnl`	A perturbation analysis of block-sparse compressed sensing via mixed ℓ2/ℓ1 minimization. Int. J. Wavelets Multiresolution Inf. Process. Jing Zhang, Jianjun Wang, Wendong Wang
2016	J	`jnl`	Block-sparse compressed sensing with partially known signal support via non-convex minimisation. IET Signal Process. Shiying He, Yao Wang, Jianjun Wang, Zongben Xu
2016	J	`jnl`	Kernel canonical correlation analysis via gradient descent. Neurocomputing Jia Cai, Yi Tang, Jianjun Wang
2016	J	`jnl`	Perona-Malik Model with a New Diffusion Coefficient for Image Denoising. Int. J. Image Graph. Jianjun Yuan, Jianjun Wang
2015	J	`jnl`	A perturbation analysis of nonconvex block-sparse compressed sensing. Commun. Nonlinear Sci. Numer. Simul. Jianjun Wang, Jing Zhang, Wendong Wang, Chan-Yun Yang
2014	J	`jnl`	Active Contours Driven by Local Intensity and Local Gradient Fitting energies. Int. J. Pattern Recognit. Artif. Intell. Jianjun Yuan, Jianjun Wang, Lipei Liu
2014	J	`jnl`	Restricted p-isometry properties of nonconvex block-sparse compressed sensing. Signal Process. Yao Wang, Jianjun Wang, Zongben Xu
2013	J	`jnl`	On recovery of block-sparse signals via mixed l EURASIP J. Adv. Signal Process. Yao Wang, Jianjun Wang, Zongben Xu
2012	J	`jnl`	Approximation of algebraic and trigonometric polynomials by feedforward neural networks. Neural Comput. Appl. Jianjun Wang, Baili Chen, Chan-Yun Yang
2012	J	`jnl`	Constructive Estimation of Approximation for trigonometric Neural Networks. Int. J. Wavelets Multiresolution Inf. Process. Jianjun Wang, Weihua Xu, Bin Zou
2012	J	`jnl`	Derivatives of Multivariate J. Appl. Math. Jianjun Wang, Zuoxiang Peng, Shukai Duan, Jia Jing
2012	J	`jnl`	Estimation of Approximating Rate for Neural Network inLwp Spaces. J. Appl. Math. Jianjun Wang, Chan-Yun Yang, Jia Jing
2011	J	`jnl`	Neural networks and the best trigomometric approximation. J. Syst. Sci. Complex. Jianjun Wang, Zongben Xu
2010	J	`jnl`	New study on neural networks: the essential order of approximation. Neural Networks Jianjun Wang, Zongben Xu
2009	—	`conf`	Estimation of Covering Number in Learning Theory. SKG Jianjun Wang, Hua Huang, Zhangtao Luo, Baili Chen
2009	—	`conf`	Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples. ICNC (1) Jie Xu, Bin Zou, Jianjun Wang
2009	—	`conf`	How to Measure the Essential Approximation Capability of a FNN. ICNC (2) Jianjun Wang, Bin Zou, Baili Chen
2008	—	`conf`	Imbalanced SVM Learning with Margin Compensation. ISNN (1) Chan-Yun Yang, Jianjun Wang, Jr-Syu Yang, Guo-Ding Yu
2007	—	`conf`	Constructive Trigonometric Function Approximation of Neural Networks. SKG Jianjun Wang, Zongben Xu, Jia Jing
2006	—	`conf`	Approximation Bound of Mixture Networks in ISNN (1) Zongben Xu, Jianjun Wang, Deyu Meng
2006	J	`jnl`	The essential order of approximation for nearly exponential type neural networks. Sci. China Ser. F Inf. Sci. Zongben Xu, Jianjun Wang
2004	—	`conf`	Approximation Bounds by Neural Networks in L ISNN (1) Jianjun Wang, Zongben Xu, Weijun Xu