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

H. Li, J. Peng, P. Sidorov, Y. Leung, K. Leung, M. Wong, G. Lu, and P. Ballester. Bioinform., 35 (20): 3989-3995 (2019)

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Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Jianqiang Peng

Other publications of authors with the same name

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, J. Huang and 3 other author(s). IEEE Trans. Medical Imaging, 38 (2): 360-370 (2019)Neural Gradient Regularizer.S. Xu, Y. Wang, Z. Zhao, J. Peng, X. Cao, and D. Meng. CoRR, (2023)Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing.J. Peng, Q. Xie, Q. Zhao, Y. Wang, Y. Leung, and D. Meng. IEEE Trans. Image Process., (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, K. Leung, M. Wong, G. Lu, and P. Ballester. Bioinform., 35 (20): 3989-3995 (2019)Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.J. Peng, H. Wang, X. Cao, X. Liu, X. Rui, and D. Meng. CoRR, (2022)Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition.Y. Wang, J. Peng, Q. Zhao, Y. Leung, X. Zhao, and D. Meng. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (4): 1227-1243 (2018)Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.H. Wang, J. Peng, X. Cao, J. Wang, Q. Zhao, and D. Meng. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing.J. Peng, Q. Xie, Q. Zhao, Y. Wang, D. Meng, and Y. Leung. CoRR, (2018)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, H. Zhang and 4 other author(s). IEEE Trans. Computational Imaging, (2020)HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising.L. Pang, W. Gu, X. Cao, X. Rui, J. Peng, S. Xu, G. Yang, and D. Meng. CoRR, (2023)

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Disambiguation of "Peng, Jiangjun"

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

Please choose a person to relate this publication to

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Jianqiang Peng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Jiangjun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Classical scoring functions for docking are unable to exploit large volumes of structural and interaction data.

Please choose a person to relate this publication to

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Jianqiang Peng

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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