Jiangjun Peng

According to our database, Jiangjun Peng authored at least 27 papers between 2018 and 2025.

Collaborative distances:

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

2025

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

Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang

Signal Process., 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

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

Shuang Xu, Jiangjun Peng, Teng-Yu Ji, Xiangyong Cao, Kai Sun, Rongrong Fei, Deyu Meng

IEEE Trans. Geosci. Remote. Sens., 2024

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

Shuang Xu, Qiao Ke, Jiangjun Peng, Xiangyong Cao, Zixiang Zhao

IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspectral Image Denoising via Double Subspace Deep Prior.

Kexin Shi, Jiangjun Peng, Jing Gao, Yisi Luo, Shuang Xu

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

Stable Local-Smooth Principal Component Pursuit.

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

SIAM J. Imaging Sci., 2024

Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration.

Shuang Xu, Chang Yu, Jiangjun Peng, Xiangyong Cao

CoRR, 2024

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

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

Jiangjun Peng, Yao Wang, Hong-Ying Zhang, Jianjun Wang, Deyu Meng

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

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

Wenting Shang, Jiangjun Peng, Zebin Wu, Yang Xu, Mohamad Jouni, Mauro Dalla Mura, Zhihui Wei

IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral Image Denoising Via Texture-Preserved Total Variation Regularizer.

Yang Chen, Wenfei Cao, Li Pang, Jiangjun Peng, Xiangyong Cao

IEEE Trans. Geosci. Remote. Sens., 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

Neural Gradient Regularizer.

Shuang Xu, Yifan Wang, Zixiang Zhao, Jiangjun Peng, Xiangyong Cao, Deyu Meng

CoRR, 2023

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

Li Pang, Weizhen Gu, Xiangyong Cao, Xiangyu Rui, Jiangjun Peng, Shuang Xu, Gang Yang, Deyu Meng

CoRR, 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

Hyperspectral Image Denoising by Asymmetric Noise Modeling.

Shuang Xu, Xiangyong Cao, Jiangjun Peng, Qiao Ke, Cong Ma, Deyu Meng

IEEE Trans. Geosci. Remote. Sens., 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

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

2020

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

Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Yee Leung, Deyu Meng

IEEE Trans. Image Process., 2020

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

Yuanke Zhang, Jiangjun Peng, Dong Zeng, Qi Xie, Sui Li, Zhaoying Bian, Yongbo Wang, Yong Zhang, Qian Zhao, Hao Zhang, Zhengrong Liang, Hongbing Lu, Deyu Meng, Jianhua Ma

IEEE Trans. Computational Imaging, 2020

2019

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

Sui Li, Dong Zeng, Jiangjun Peng, Zhaoying Bian, Hao Zhang, Qi Xie, Yongbo Wang, Yuting Liao, Shanli Zhang, Jing Huang, Deyu Meng, Zongben Xu, Jianhua Ma

IEEE Trans. Medical Imaging, 2019

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

Hongjian Li, Jiangjun Peng, Pavel Sidorov, Yee Leung, Kwong-Sak Leung, Man Hon Wong, Gang Lu, Pedro J. Ballester

Bioinform., 2019

2018

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

Yao Wang, Jiangjun Peng, Qian Zhao, Yee Leung, Xi-Le Zhao, Deyu Meng

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

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

Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung

CoRR, 2018