Hailin Wang

Orcid: 0000-0002-7797-2719

Affiliations:

Xi'an Jiaotong University, Xi'an, China

According to our database¹, Hailin Wang authored at least 37 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., February, 2026

Multi-Dimensional Visual Data Recovery: Scale-Aware Tensor Modeling and Accelerated Randomized Computation.

[BibT_eX]

[DOI]

CoRR, February, 2026

Fast Guaranteed Robust Local-Smooth Principal Component Separation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Accelerating Large-Scale Regularized High-Order Tensor Recovery.

[BibT_eX]

[DOI]

CoRR, June, 2025

Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation.

[BibT_eX]

[DOI]

CoRR, February, 2025

Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2025

Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm.

[BibT_eX]

[DOI]

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

Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Learnable Representative Coefficient Image Denoiser for Hyperspectral Image.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

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

[BibT_eX]

[DOI]

Signal Process., 2024

Stable Local-Smooth Principal Component Pursuit.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2024

2023

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

[BibT_eX]

[DOI]

Appl. Intell., October, 2023

Fluorescence microscopy images denoising via deep convolutional sparse coding.

[BibT_eX]

[DOI]

Signal Process. Image Commun., September, 2023

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness.

[BibT_eX]

[DOI]

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

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

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

[BibT_eX]

[DOI]

J. Electronic Imaging, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

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

[BibT_eX]

[DOI]

J. Electronic Imaging, 2021

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

[BibT_eX]

[DOI]

J. Electronic Imaging, 2021

Perturbation analysis of low-rank matrix stable recovery.

[BibT_eX]

[DOI]

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

An optimal condition of robust low-rank matrices recovery.

[BibT_eX]

[DOI]

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

Non-Convex Sparse Deviation Modeling Via Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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

[BibT_eX]

[DOI]

Yahong Xie

Hailin Wang

Jianjun Wang

IET Image Process., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hailin Wang

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