Jiangjun Peng

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

Zhaoying Bian, Sui Li, Dong Zeng, 2019, IEEE Transactions on Medical Imaging.

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

Sui Li, Zhaoying Bian, Deyu Meng, 2020, IEEE Transactions on Computational Imaging.

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

Yao Wang, Deyu Meng, Jiangjun Peng, 2020, IEEE Transactions on Image Processing.

CPCT-LRTDTV: cerebral perfusion CT image restoration via a low rank tensor decomposition with total variation regularization

Yao Wang, Dong Zeng, Jiangjun Peng, 2018, Medical Imaging.

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

Kwong-Sak Leung, Jiangjun Peng, Gang Lu, 2019, Bioinform..

The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction

Kwong-Sak Leung, Jiangjun Peng, Hongjian Li, 2018, Biomolecules.

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

Yee Leung, Jiangjun Peng, Qi Xie, 2018, ArXiv.

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

Jiangjun Peng, Deyu Meng, Xi-Le Zhao, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.