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ORCIDYan-Ming Zhang 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Other persons with the same name
- Yanming Zhang (aka: Yan-Ming Zhang) — disambiguation page
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2020 – today
- 2024
[j15]Jing-Yu Liu, Yan-Ming Zhang
, Fei Yin, Cheng-Lin Liu:
Transformer-based stroke relation encoding for online handwriting and sketches. Pattern Recognit. 148: 110131 (2024)- 2023
- [j14]Yu-Ting Yang, Yan-Ming Zhang, Xiao-Long Yun, Fei Yin, Cheng-Lin Liu:
DyGAT: Dynamic stroke classification of online handwritten documents and sketches. Pattern Recognit. 141: 109564 (2023) - [c21]Jing-Yu Liu, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu:
Streaming Stroke Classification of Online Handwriting. ICASSP 2023: 1-5 - [c20]Min-Si Ren, Yan-Ming Zhang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Diff-Writer: A Diffusion Model-Based Stylized Online Handwritten Chinese Character Generator. ICONIP (10) 2023: 86-100 - 2022
- [j13]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss. Cogn. Comput. 14(6): 2246-2259 (2022) - [j12]Xiao-Long Yun, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu:
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams. IEEE Trans. Multim. 24: 2580-2594 (2022) - 2021
- [j11]Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu:
Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks. Pattern Recognit. 114: 107859 (2021) - [c19]Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition. AAAI 2021: 2925-2933 - [c18]Yu-Ting Yang, Yan-Ming Zhang, Xiao-Long Yun, Fei Yin, Cheng-Lin Liu:
CASIA-onDo: A New Database for Online Handwritten Document Analysis. ACPR (2) 2021: 174-188 - [c17]Yan-Ming Huang, Dongjie Liu, Zhiwei Yan, Yan-Ming Zhang, Guang-Gang Geng:
An Abused Webpage Detection Method Based on Screenshots Text Recognition. ICEA 2021: 106-110 - [c16]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss. MICCAI (5) 2021: 185-194 - 2020
- [j10]Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Handwritten Mathematical Expression Recognition via Paired Adversarial Learning. Int. J. Comput. Vis. 128(10): 2386-2401 (2020) - [j9]Yuan-Yuan Shen, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Online semi-supervised learning with learning vector quantization. Neurocomputing 399: 467-478 (2020) - [j8]Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu:
Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks. SN Comput. Sci. 1(3): 163 (2020)
2010 – 2019
- 2019
- [c15]Yuan-Xing Zhao, Yan-Ming Zhang, Cheng-Lin Liu:
Bag of Tricks for 3D MRI Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 210-220 - [c14]Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu:
Contextual Stroke Classification in Online Handwritten Documents with Graph Attention Networks. ICDAR 2019: 993-998 - [c13]Xiao-Long Yun, Yan-Ming Zhang, Jun-Yu Ye, Cheng-Lin Liu:
Online Handwritten Diagram Recognition with Graph Attention Networks. ICIG (1) 2019: 232-244 - [c12]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network. MICCAI (3) 2019: 256-265 - 2018
- [j7]Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio:
Drawing and Recognizing Chinese Characters with Recurrent Neural Network. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 849-862 (2018) - [c11]Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu:
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. ICPR 2018: 1121-1126 - [c10]Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Image-to-Markup Generation via Paired Adversarial Learning. ECML/PKDD (1) 2018: 18-34 - 2016
- [j6]Yinglu Liu, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Adaptive spatial pooling for image classification. Pattern Recognit. 55: 58-67 (2016) - [c9]Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu:
Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. AAAI 2016: 2344-2350 - [c8]Yongzhong Wang, Xu-Yao Zhang, Yanming Zhang, Xinwen Hou, Cheng-Lin Liu:
Exploiting coarse-to-fine mechanism for fine-grained recognition. ICIP 2016: 649-653 - [c7]Jun-Yu Ye, Yan-Ming Zhang, Cheng-Lin Liu:
Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents. ICPR 2016: 3264-3269 - [i2]Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio:
Drawing and Recognizing Chinese Characters with Recurrent Neural Network. CoRR abs/1606.06539 (2016) - 2015
- [j5]Guang-Gang Geng, Xiao-Dong Lee, Yan-Ming Zhang:
Combating phishing attacks via brand identity and authorization features. Secur. Commun. Networks 8(6): 888-898 (2015) - [j4]Yan-Ming Zhang, Kaizhu Huang, Guang-Gang Geng, Cheng-Lin Liu:
MTC: A Fast and Robust Graph-Based Transductive Learning Method. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1979-1991 (2015) - 2014
- [j3]Xiang-Dong Zhou, Yan-Ming Zhang, Feng Tian, Hongan Wang, Cheng-Lin Liu:
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition. Pattern Recognit. 47(5): 1904-1916 (2014) - [j2]Xu-Yao Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu:
Combination of Classification and Clustering Results with Label Propagation. IEEE Signal Process. Lett. 21(5): 610-614 (2014) - [j1]Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Learning Locality Preserving Graph from Data. IEEE Trans. Cybern. 44(11): 2088-2098 (2014) - [c6]Xiaolong Liu, Yanming Zhang, Cheng-Lin Liu:
A Nonlinear Classifier Based on Factorization Machines Model. CCPR (1) 2014: 1-10 - [c5]Guo-Sen Xie, Xu-Yao Zhang, Yan-Ming Zhang, Cheng-Lin Liu:
Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction. IJCNN 2014: 1622-1629 - 2013
- [c4]Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu:
Fast kNN Graph Construction with Locality Sensitive Hashing. ECML/PKDD (2) 2013: 660-674 - [i1]Guanggang Geng, Yan-Ming Zhang, Xiao-Dong Lee, Wei Wang, An-Lei Hu:
A Taxonomy of Hyperlink Hiding Techniques. CoRR abs/1303.2438 (2013) - 2011
- [c3]Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu:
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. ICDM 2011: 952-961 - 2010
- [c2]Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou:
Transductive Learning on Adaptive Graphs. AAAI 2010: 661-666
2000 – 2009
- 2009
- [c1]Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu:
Subspace Regularization: A New Semi-supervised Learning Method. ECML/PKDD (2) 2009: 586-601
Coauthor Index
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