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Jiangjun Peng (彭江军)
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Year
Hyperspectral image restoration via total variation regularized low-rank tensor decomposition
Y Wang, J Peng, Q Zhao, Y Leung, XL Zhao, D Meng
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
3612017
Enhanced 3DTV regularization and its applications on HSI denoising and compressed sensing
J Peng, Q Xie, Q Zhao, Y Wang, L Yee, D Meng
IEEE Transactions on Image Processing 29, 7889-7903, 2020
111*2020
Classical scoring functions for docking are unable to exploit large volumes of structural and interaction data
H Li, J Peng, P Sidorov, Y Leung, KS Leung, MH Wong, G Lu, PJ Ballester
Bioinformatics 35 (20), 3989-3995, 2019
682019
The impact of protein structure and sequence similarity on the accuracy of machine-learning scoring functions for binding affinity prediction
H Li, J Peng, Y Leung, KS Leung, MH Wong, G Lu, PJ Ballester
Biomolecules 8 (1), 12, 2018
562018
An efficient iterative cerebral perfusion CT reconstruction via low-rank tensor decomposition with spatial–temporal total variation regularization
S Li, D Zeng, J Peng, Z Bian, H Zhang, Q Xie, Y Wang, Y Liao, S Zhang, ...
IEEE transactions on medical imaging 38 (2), 360-370, 2018
372018
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices
J Peng, Y Wang, H Zhang, J Wang, D Meng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
282022
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation
J Peng, H Wang, X Cao, X Liu, X Rui, D Meng
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022
262022
Guaranteed tensor recovery fused low-rankness and smoothness
H Wang, J Peng, W Qin, J Wang, D Meng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
242023
Hyperspectral image denoising by asymmetric noise modeling
S Xu, X Cao, J Peng, Q Ke, C Ma, D Meng
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022
112022
Hyperspectral image denoising via texture-preserved total variation regularizer
Y Chen, W Cao, L Pang, J Peng, X Cao
IEEE Transactions on Geoscience and Remote Sensing, 2023
92023
Contrast-medium anisotropy-aware tensor total variation model for robust cerebral perfusion CT reconstruction with low-dose scans
Y Zhang, J Peng, D Zeng, Q Xie, S Li, Z Bian, Y Wang, Y Zhang, Q Zhao, ...
IEEE transactions on computational imaging 6, 1375-1388, 2020
92020
Tensor compressive sensing fused low-rankness and local-smoothness
X Liu, J Hou, J Peng, H Wang, D Meng, J Wang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8879-8887, 2023
52023
CPCT-LRTDTV: cerebral perfusion CT image restoration via a low rank tensor decomposition with total variation regularization
J Peng, D Zeng, J Ma, Y Wang, D Meng
Medical Imaging 2018: Physics of Medical Imaging 10573, 821-825, 2018
42018
Hyperspectral anomaly detection via sparsity of core tensor under gradient domain
W Shang, J Peng, Z Wu, Y Xu, M Jouni, M Dalla Mura, Z Wei
IEEE Transactions on Geoscience and Remote Sensing, 2023
32023
Hyperspectral image denoising via nonlocal spectral sparse subspace representation
H Wang, J Peng, X Cao, J Wang, Q Zhao, D Meng
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
22023
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
X Jia, H Wang, J Peng, X Feng, D Meng
Advances in Neural Information Processing Systems 36, 2024
12024
Learnable Representative Coefficient Image Denoiser for Hyperspectral Image
J Peng, H Wang, X Cao, Q Zhao, J Yao, H Zhang, D Meng
IEEE Transactions on Geoscience and Remote Sensing, 2024
12024
Efficient and Learnable Transformed Tensor Nuclear Norm with Exact Recoverable Theory
J Peng, H Wang, X Cao, H Zhang, X Jia, D Meng
2023
Neural Gradient Regularizer
S Xu, Y Wang, Z Zhao, J Peng, X Cao, D Meng
arXiv preprint arXiv:2308.16612, 2023
2023
HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising
L Pang, W Gu, X Cao, X Rui, J Peng, S Xu, G Yang, D Meng
arXiv preprint arXiv:2306.17797, 2023
2023
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