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CASIA OpenIR
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Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network 会议论文
, 深圳, 2019-10
作者:  Zhao YX(赵元兴);  Zhang YM(张燕明);  Song M(宋明);  Liu CL(刘成林)
Adobe PDF(704Kb)  |  收藏  |  浏览/下载：179/65  |  提交时间：2022/08/18
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载：328/91  |  提交时间：2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594
作者:  Yun, Xiao-Long;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(3236Kb)  |  收藏  |  浏览/下载：327/4  |  提交时间：2022/07/25
Handwriting recognition  Task analysis  Grammar  Semantics  Image segmentation  Trajectory  Text recognition  Online handwritten diagram recognition  symbol segmentation  symbol recognition  freehand sketch analysis  graph neural networks  
Contextual Stroke Classification in Online Handwritten Documents with Graph Attention Networks 会议论文
, 澳大利亚,悉尼, 2019-9
作者:  Jun-Yu Ye;  Yan-Ming Zhang;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(353Kb)  |  收藏  |  浏览/下载：229/71  |  提交时间：2021/03/30
Handwritten Mathematical Expression Recognition via Paired Adversarial Learning 期刊论文
International Journal of Computer Vision, 2020, 卷号: 128, 期号: 128, 页码: 2386-2401
作者:  Jin-Wen Wu;  Fei Yin;  Yan-Ming Zhang;  Xu-Yao Zhang;  Cheng-Lin Liu
浏览  |  Adobe PDF(1941Kb)  |  收藏  |  浏览/下载：388/95  |  提交时间：2020/10/20
Handwritten ME recognition  Paired adversarial learning  Semantic-invariant features  Convolutional decoder  Coverage of decoding  
Online semi-supervised learning with learning vector quantization 期刊论文
NEUROCOMPUTING, 2020, 卷号: 399, 页码: 467-478
作者:  Shen, Yuan-Yuan;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载：254/6  |  提交时间：2020/06/22
Online learning  Semi-supervised classification  Learning vector quantization  Gaussian mixture distribution  Neural gas  
Image-to-Markup Generation via Paired Adversarial Learning 会议论文
, Dublin, Ireland, 10-14
作者:  Jin-Wen Wu;  Fei Yin;  Yan-Ming Zhang;  Xu-Yao Zhang;  Cheng-Lin Liu
Adobe PDF(1138Kb)  |  收藏  |  浏览/下载：406/83  |  提交时间：2018/10/13
MTC: A Fast and Robust Graph-Based Transductive Learning Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 1979-1991
作者:  Zhang, Yan-Ming;  Huang, Kaizhu;  Geng, Guang-Gang;  Liu, Cheng-Lin
浏览  |  Adobe PDF(3026Kb)  |  收藏  |  浏览/下载：328/54  |  提交时间：2015/10/13
Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
Fast and robust graph-based transductive learning via minimum tree cut 会议论文
IEEE International Conference on Data Mining (ICDM), 加拿大温哥华, December 11-14, 2011
作者:  Zhang, Yan-Ming;  Huang, Kaizhu;  Liu, Cheng-Lin
浏览  |  Adobe PDF(261Kb)  |  收藏  |  浏览/下载：255/58  |  提交时间：2015/08/19
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
浏览  |  Adobe PDF(751Kb)  |  收藏  |  浏览/下载：314/84  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition