Hailin Wang

According to our database, Hailin Wang authored at least 30 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Accelerating Large-Scale Regularized High-Order Tensor Recovery.

Wenjin Qin, Hailin Wang, Jingyao Hou, Jian-Jun Wang

CoRR, June, 2025

Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory.

Hao Shu, Jicheng Li, Yu Jin, Hailin Wang

CoRR, January, 2025

Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm.

Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Low-Rank Tensor Completion With 3-D Spatiotemporal Transform for Traffic Data Imputation.

Hao Shu, Hailin Wang, Jiangjun Peng, Deyu Meng

IEEE Trans. Intell. Transp. Syst., November, 2024

Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation.

Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, Tingwen Huang

IEEE Trans. Image Process., 2024

Tensor Ring Decomposition-Based Generalized and Efficient Nonconvex Approach for Hyperspectral Anomaly Detection.

Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xiangyong Cao, Xi-Le Zhao

IEEE Trans. Geosci. Remote. Sens., 2024

Learnable Representative Coefficient Image Denoiser for Hyperspectral Image.

Jiangjun Peng, Hailin Wang, Xiangyong Cao, Qian Zhao, Jing Yao, Hongying Zhang, Deyu Meng

IEEE Trans. Geosci. Remote. Sens., 2024

Infrared Small Target Detection via Joint Low Rankness and Local Smoothness Prior.

Pei Liu, Jiangjun Peng, Hailin Wang, Danfeng Hong, Xiangyong Cao

IEEE Trans. Geosci. Remote. Sens., 2024

Tensor recovery from binary measurements fused low-rankness and smoothness.

Jingyao Hou, Xinling Liu, Hailin Wang, Ke Guo

Signal Process., 2024

Stable Local-Smooth Principal Component Pursuit.

Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng

SIAM J. Imaging Sci., 2024

2023

Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting.

Feng Zhang, Hailin Wang, Wenjin Qin, Xile Zhao, Jianjun Wang

Appl. Intell., October, 2023

Fluorescence microscopy images denoising via deep convolutional sparse coding.

Ge Chen, Jianjun Wang, Hailin Wang, Jinming Wen, Yi Gao, Yongjian Xu

Signal Process. Image Commun., September, 2023

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness.

Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.

Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness.

Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery.

Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Low-Rank High-Order Tensor Completion With Applications in Visual Data.

Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xin Luo, Tingwen Huang

IEEE Trans. Image Process., 2022

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.

Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinling Liu, Xiangyu Rui, Deyu Meng

IEEE Trans. Geosci. Remote. Sens., 2022

High-order tensor low-rank approximation with application in color video recovery.

Zhihao Wang, Wenjin Qin, Zhongcheng Wu, Hailin Wang, Jianjun Wang

J. Electronic Imaging, 2022

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.

Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinlin Liu, Xiangyu Rui, Deyu Meng

CoRR, 2022

Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation.

Wenjin Qin, Hailin Wang, Weijun Ma, Jianjun Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Denoising convolutional neural network inspired via multi-layer convolutional sparse coding.

Zejia Wen, Hailin Wang, Yingfan Gong, Jianjun Wang

J. Electronic Imaging, 2021

Robust low-rank tensor reconstruction using high-order t-SVD.

Wenjin Qin, Hailin Wang, Feng Zhang, Mingwei Dai, Jianjun Wang

J. Electronic Imaging, 2021

Perturbation analysis of low-rank matrix stable recovery.

Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang

Int. J. Wavelets Multiresolution Inf. Process., 2021

An optimal condition of robust low-rank matrices recovery.

Jianwen Huang, Sanfu Wang, Jianjun Wang, Feng Zhang, Hailin Wang, Jinping Jia

Int. J. Wirel. Mob. Comput., 2021

Non-Convex Sparse Deviation Modeling Via Generative Models.

Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

CMCS-net: image compressed sensing with convolutional measurement via DCNN.

Yahong Xie, Hailin Wang, Jianjun Wang

IET Image Process., 2020

An analysis of noise folding for low-rank matrix recovery.

Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang

CoRR, 2020

Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion.

Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020