Jiangjun Peng

Orcid: 0000-0001-9645-5154

According to our database¹, Jiangjun Peng authored at least 39 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

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

[BibT_eX]

[DOI]

CoRR, February, 2026

Convergence-Guaranteed Spectral CT Reconstruction via Internal and External Prior Mining.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2026

PACT: Phase-amplitude collaboration transformer for lightweight image super-resolution.

[BibT_eX]

[DOI]

Neurocomputing, 2026

Fast Guaranteed Robust Local-Smooth Principal Component Separation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Parameterized Low-Rank Regularizer for High-dimensional Visual Data.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., December, 2025

Efficient Seismic Random Noise Attenuation via KAN-Empowered Neural Low-Rank Representation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

CTVNet: Gradient Prior-Guided Deep Unfolding Network for Infrared Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

DDFet: Infrared Small Target Detection via a Dual-Domain Fused Deep Unfolding Network.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization.

[BibT_eX]

[DOI]

Signal Process., 2025

DIP-MoG: Non-i.i.d. Seismic Noise Attenuation Using Mixture of Gaussians Noise Model and Deep Image Prior.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 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

Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm.

[BibT_eX]

[DOI]

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

Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Stacked Tucker Decomposition With Multi-Nonlinear Products for Remote Sensing Imagery Inpainting.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Pan-Denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspectral Image Denoising via Double Subspace Deep Prior.

[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

Stable Local-Smooth Principal Component Pursuit.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2024

Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness.

[BibT_eX]

[DOI]

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

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices.

[BibT_eX]

[DOI]

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

Hyperspectral Anomaly Detection via Sparsity of Core Tensor Under Gradient Domain.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral Image Denoising Via Texture-Preserved Total Variation Regularizer.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.

[BibT_eX]

[DOI]

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

Neural Gradient Regularizer.

[BibT_eX]

[DOI]

CoRR, 2023

HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

CoRR, 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

Hyperspectral Image Denoising by Asymmetric Noise Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2020

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

2019

An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Classical scoring functions for docking are unable to exploit large volumes of structural and interaction data.

[BibT_eX]

[DOI]

Bioinform., 2019

2018

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing.

[BibT_eX]

[DOI]

CoRR, 2018

Jiangjun Peng

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