Jiangjun Peng
Jiangjun Peng
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TitleCited byYear
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
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, P Ballester
Biomolecules 8 (1), 12, 2018
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
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, 2019
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, 1057337, 2018
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing
J Peng, Q Xie, Q Zhao, Y Wang, D Meng, Y Leung
arXiv preprint arXiv:1809.06591, 2018
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