Yan-Ming Zhang

Orcid: 0000-0001-6718-5589

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China


According to our database1, Yan-Ming Zhang authored at least 39 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Transformer-based stroke relation encoding for online handwriting and sketches.
Pattern Recognit., April, 2024

Document Specular Highlight Removal with Coarse-to-Fine Strategy.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Class Incremental Learning for Character String Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

2023
DyGAT: Dynamic stroke classification of online handwritten documents and sketches.
Pattern Recognit., September, 2023

Diff-Writer: A Diffusion Model-Based Stylized Online Handwritten Chinese Character Generator.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Streaming Stroke Classification of Online Handwriting.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams.
IEEE Trans. Multim., 2022

Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss.
Cogn. Comput., 2022

2021
Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks.
Pattern Recognit., 2021

Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

An Abused Webpage Detection Method Based on Screenshots Text Recognition.
Proceedings of the ACM ICEA '21: 2021 ACM International Conference on Intelligent Computing and its Emerging Applications, Jinan, China, December 28, 2021

CASIA-onDo: A New Database for Online Handwritten Document Analysis.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks.
SN Comput. Sci., 2020

Online semi-supervised learning with learning vector quantization.
Neurocomputing, 2020

Handwritten Mathematical Expression Recognition via Paired Adversarial Learning.
Int. J. Comput. Vis., 2020

2019
Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Online Handwritten Diagram Recognition with Graph Attention Networks.
Proceedings of the Image and Graphics - 10th International Conference, 2019

Contextual Stroke Classification in Online Handwritten Documents with Graph Attention Networks.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Bag of Tricks for 3D MRI Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Drawing and Recognizing Chinese Characters with Recurrent Neural Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Image-to-Markup Generation via Paired Adversarial Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Anomaly Detection via Minimum Likelihood Generative Adversarial Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016
Adaptive spatial pooling for image classification.
Pattern Recognit., 2016

Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Exploiting coarse-to-fine mechanism for fine-grained recognition.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
MTC: A Fast and Robust Graph-Based Transductive Learning Method.
IEEE Trans. Neural Networks Learn. Syst., 2015

Combating phishing attacks via brand identity and authorization features.
Secur. Commun. Networks, 2015

2014
Learning Locality Preserving Graph from Data.
IEEE Trans. Cybern., 2014

Combination of Classification and Clustering Results with Label Propagation.
IEEE Signal Process. Lett., 2014

Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition.
Pattern Recognit., 2014

Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Nonlinear Classifier Based on Factorization Machines Model.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2013
A Taxonomy of Hyperlink Hiding Techniques
CoRR, 2013

Fast kNN Graph Construction with Locality Sensitive Hashing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2011
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Transductive Learning on Adaptive Graphs.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Subspace Regularization: A New Semi-supervised Learning Method.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009


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