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Norm-Based Curriculum Learning for Neural Machine Translation Conference paper
Liu, X., Lai, H., Wong, F., Chao, S.. Norm-Based Curriculum Learning for Neural Machine Translation[C], 2020, 427-436.
Authors:  Liu, X.;  Lai, H.;  Wong, F.;  Chao, S.
Favorite | TC[WOS]:45 TC[Scopus]:80 | Submit date：2022/08/19
Neural Machine Translation  Norm-based  Curriculum Learning  
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration Journal article
Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Jiachao Zhang, Ce Zhu. From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 29, 3254-3269.
Authors:  Zhiyuan Zha;  Xin Yuan;  Bihan Wen;  Jiantao Zhou;  Jiachao Zhang; et al.
Adobe PDF | Favorite | TC[WOS]:88 TC[Scopus]:96  IF:10.8/12.1 | Submit date：2021/03/11
Low-rank  Rank Residual Constraint  Nuclear Norm Minimization  Nonlocal Self-similarity  Group-based Sparse Representation  Image Restoration  
Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization Journal article
Zhang,Hengmin, Gong,Chen, Qian,Jianjun, Zhang,Bob, Xu,Chunyan, Yang,Jian. Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(10), 2916-2925.
Authors:  Zhang,Hengmin;  Gong,Chen;  Qian,Jianjun;  Zhang,Bob;  Xu,Chunyan; et al.
Favorite | TC[WOS]:41 TC[Scopus]:45  IF:10.2/10.4 | Submit date：2021/03/11
Double Nonconvex Nonsmooth Rank (Nnr) Minimization  Iteratively Reweighted Singular Values Function (Svf) Algorithm  Low-rank Matrix Recovery  Nuclear Norm-based Minimization (Nnm)