Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing. - Jiangjun Peng; Qi Xie; Qian Zhao 002; Yao Wang 003; Deyu Meng; Yee Leung (CoRR, 2018)

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition. - Yao Wang 003; Jiangjun Peng; Qian Zhao 002; Yee Leung; Xi-Le Zhao; Deyu Meng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

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 001; Gang Lu; Pedro J. Ballester (Bioinform., 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 026; Qi Xie; Yongbo Wang; Yuting Liao; Shanli Zhang; Jing Huang 018; Deyu Meng; Zongben Xu; et al. (IEEE Trans. Medical Imaging, 2019)

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 002; Hao Zhang 026; Zhengrong Liang; Hongbing Lu; et al. (IEEE Trans. Computational Imaging, 2020)

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing. - Jiangjun Peng; Qi Xie; Qian Zhao 002; Yao Wang 003; Yee Leung; Deyu Meng (IEEE Trans. Image Process., 2020)

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)

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)

Hyperspectral Image Denoising by Asymmetric Noise Modeling. - Shuang Xu; Xiangyong Cao; Jiangjun Peng; Qiao Ke; Cong Ma 005; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2022)

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. - Xinling Liu; Jingyao Hou; Jiangjun Peng; Hailin Wang; Deyu Meng; Jianjun Wang 003 (AAAI, 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 (NeurIPS, 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)

Neural Gradient Regularizer. - Shuang Xu; Yifan Wang; Zixiang Zhao; Jiangjun Peng; Xiangyong Cao; Deyu Meng (CoRR, 2023)

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation. - Hailin Wang; Jiangjun Peng; Xiangyong Cao; Jianjun Wang 003; Qibin Zhao; Deyu Meng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Hyperspectral Image Denoising Via Texture-Preserved Total Variation Regularizer. - Yang Chen 057; Wenfei Cao; Li Pang; Jiangjun Peng; Xiangyong Cao (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Anomaly Detection via Sparsity of Core Tensor Under Gradient Domain. - Wenting Shang; Jiangjun Peng; Zebin Wu 001; Yang Xu 006; Mohamad Jouni; Mauro Dalla Mura; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2023)

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. - Jiangjun Peng; Yao Wang 003; Hong-Ying Zhang 001; Jianjun Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness. - Hailin Wang; Jiangjun Peng; Wenjin Qin; Jianjun Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration. - Shuang Xu; Chang Yu; Jiangjun Peng; Xiangyong Cao (CoRR, 2024)

Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image. - Shuang Xu; Zixiang Zhao; Haowen Bai; Chang Yu; Jiangjun Peng; Xiangyong Cao; Deyu Meng (CoRR, 2024)

Stable Local-Smooth Principal Component Pursuit. - Jiangjun Peng; Hailin Wang; Xiangyong Cao; Xixi Jia; Hongying Zhang 001; Deyu Meng (SIAM J. Imaging Sci., 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)

Learnable Representative Coefficient Image Denoiser for Hyperspectral Image. - Jiangjun Peng; Hailin Wang; Xiangyong Cao; Qian Zhao 002; Jing Yao 002; Hongying Zhang 001; Deyu Meng (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)

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)

Stacked Tucker Decomposition With Multi-Nonlinear Products for Remote Sensing Imagery Inpainting. - Shuang Xu; Jiangjun Peng; Teng-Yu Ji; Xiangyong Cao; Kai Sun 007; Rongrong Fei; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 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., 2024)

DIP-MoG: Non-i.i.d. Seismic Noise Attenuation Using Mixture of Gaussians Noise Model and Deep Image Prior. - Yuqing Wang; Jiangjun Peng; Bangyu Wu; Bo Li (IEEE Geosci. Remote. Sens. Lett., 2025)

Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. - Xinling Liu; Jiangjun Peng; Jingyao Hou; Yao Wang 003; Jianjun Wang 003 (Signal Process., 2025)

Efficient Seismic Random Noise Attenuation via KAN-Empowered Neural Low-Rank Representation. - Shengrui Wang; Yisi Luo; Sanfu Li; Jiangjun Peng; Bangyu Wu (IEEE Trans. Geosci. Remote. Sens., 2025)

Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm. - Jiangjun Peng; Yisi Luo; Xiangyong Cao; Shuang Xu; Deyu Meng (CoRR, 2025)