Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation RX Ding, X Wang, K Shang, F Herrera Information Fusion 50, 251-272, 2019 | 149 | 2019 |
Sparse representation-based intuitionistic fuzzy clustering approach to find the group intra-relations and group leaders for large-scale decision making RX Ding, X Wang, K Shang, B Liu, F Herrera IEEE Transactions on Fuzzy Systems 27 (3), 559-573, 2018 | 90 | 2018 |
A patch strategy for deep face recognition Y Zhang, K Shang, J Wang, N Li, MMY Zhang Iet Image Processing 12 (5), 819-825, 2018 | 41 | 2018 |
DuDoTrans: dual-domain transformer provides more attention for sinogram restoration in sparse-view CT reconstruction C Wang, K Shang, H Zhang, Q Li, Y Hui, SK Zhou arXiv preprint arXiv:2111.10790, 2021 | 33 | 2021 |
A customized sparse representation model with mixed norm for undersampled face recognition ZM Li, ZH Huang, K Shang IEEE Transactions on Information Forensics and Security 11 (10), 2203-2214, 2016 | 26 | 2016 |
Variational feature representation-based classification for face recognition with single sample per person RX Ding, DK Du, ZH Huang, ZM Li, K Shang Journal of Visual Communication and Image Representation 30, 35-45, 2015 | 26 | 2015 |
Label-removed generative adversarial networks incorporating with K-Means C Wang, Z Chen, K Shang, H Wu Neurocomputing 361, 126-136, 2019 | 25 | 2019 |
DuDoTrans: dual-domain transformer for sparse-view CT reconstruction C Wang, K Shang, H Zhang, Q Li, SK Zhou International Workshop on Machine Learning for Medical Image Reconstruction …, 2022 | 23 | 2022 |
DMGAN: Discriminative metric-based generative adversarial networks Z Chen, C Wang, H Wu, K Shang, J Wang Knowledge-Based Systems 192, 105370, 2020 | 23 | 2020 |
Iterative p-shrinkage thresholding algorithm for low Tucker rank tensor recovery K Shang, YF Li, ZH Huang Information Sciences 482, 374-391, 2019 | 22 | 2019 |
Low Tucker rank tensor recovery via ADMM based on exact and inexact iteratively reweighted algorithms YF Li, K Shang, ZH Huang Journal of computational and applied mathematics 331, 64-81, 2018 | 20 | 2018 |
Decoupled R-CNN: Sensitivity-specific detector for higher accurate localization D Wang, K Shang, H Wu, C Wang IEEE Transactions on Circuits and Systems for Video Technology 32 (9), 6324-6336, 2022 | 19 | 2022 |
A single gallery-based face recognition using extended joint sparse representation K Shang, ZH Huang, W Liu, ZM Li Applied Mathematics and Computation 320, 99-115, 2018 | 17 | 2018 |
Improving generalizability in limited-angle CT reconstruction with sinogram extrapolation C Wang, H Zhang, Q Li, K Shang, Y Lyu, B Dong, SK Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 16 | 2021 |
A singular value p-shrinkage thresholding algorithm for low rank matrix recovery YF Li, K Shang, ZH Huang Computational Optimization and Applications 73, 453-476, 2019 | 14 | 2019 |
Learning deep discriminative face features by customized weighted constraint MMY Zhang, K Shang, H Wu Neurocomputing, 2018 | 14 | 2018 |
Deep compact discriminative representation for unconstrained face recognition MMY Zhang, K Shang, H Wu Signal Processing: Image Communication 75, 118-127, 2019 | 9 | 2019 |
Active ct reconstruction with a learned sampling policy C Wang, K Shang, H Zhang, S Zhao, D Liang, SK Zhou Proceedings of the 31st ACM International Conference on Multimedia, 7226-7235, 2023 | 3 | 2023 |
Realistic Restorer: artifact-free flow restorer (AF2R) for MRI motion artifact removal J Su, K Shang, D Liang arXiv preprint arXiv:2306.10689, 2023 | 1 | 2023 |
Escape the Corrupted Lines by a Learning Sampling Pattern for MRI Reconstruction J Ren, K Shang, Q Jin, C Wu, D Liang Proceedings of the International Conference on Computing, Machine Learning …, 2024 | | 2024 |