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Yan-Ming Zhang
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Year
Drawing and recognizing chinese characters with recurrent neural network
XY Zhang, F Yin, YM Zhang, CL Liu, Y Bengio
IEEE transactions on pattern analysis and machine intelligence 40 (4), 849-862, 2017
3882017
Deep hyperspherical learning
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song
Advances in neural information processing systems 30, 2017
1482017
Bag of Tricks for 3D MRI Brain Tumor Segmentation
YX Zhao, YM Zhang, CL Liu
MICCAI workshop, 2019
1302019
Fast kNN Graph Construction with Locality Sensitive Hashing
YM Zhang, K Huang, G Geng, CL Liu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
1242013
Handwritten mathematical expression recognition via paired adversarial learning
JW Wu, F Yin, YM Zhang, XY Zhang, CL Liu
International Journal of Computer Vision 128, 2386-2401, 2020
1022020
Image-to-markup generation via paired adversarial learning
JW Wu, F Yin, YM Zhang, XY Zhang, CL Liu
Machine learning and knowledge discovery in databases: European conference …, 2019
652019
Adaptive spatial pooling for image classification
Y Liu, YM Zhang, XY Zhang, CL Liu
Pattern Recognition 55, 58-67, 2016
552016
Multi-view semi-supervised 3D whole brain segmentation with a self-ensemble network
YX Zhao, YM Zhang, M Song, CL Liu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
422019
Learning locality preserving graph from data
YM Zhang, K Huang, X Hou, CL Liu
IEEE transactions on cybernetics 44 (11), 2088-2098, 2014
392014
Graph-to-graph: towards accurate and interpretable online handwritten mathematical expression recognition
JW Wu, F Yin, YM Zhang, XY Zhang, CL Liu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2925-2933, 2021
382021
Anomaly detection via minimum likelihood generative adversarial networks
C Wang, YM Zhang, CL Liu
2018 24th International Conference on Pattern Recognition (ICPR), 1121-1126, 2018
352018
Recurrent hidden semi-markov model
H Dai, B Dai, YM Zhang, S Li, L Song
International Conference on Learning Representations, 2022
342022
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition
XD Zhou, YM Zhang, F Tian, HA Wang, CL Liu
Pattern Recognition 47 (5), 1904-1916, 2014
322014
Combating phishing attacks via brand identity and authorization features
GG Geng, XD Lee, YM Zhang
Security and communication networks 8 (6), 888-898, 2015
282015
MTC: A fast and robust graph-based transductive learning method
YM Zhang, K Huang, GG Geng, CL Liu
IEEE transactions on neural networks and learning systems 26 (9), 1979-1991, 2014
282014
Instance GNN: a learning framework for joint symbol segmentation and recognition in online handwritten diagrams
XL Yun, YM Zhang, F Yin, CL Liu
IEEE Transactions on Multimedia 24, 2580-2594, 2021
272021
Online semi-supervised learning with learning vector quantization
YY Shen, YM Zhang, XY Zhang, CL Liu
Neurocomputing 399, 467-478, 2020
242020
Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents
JY Ye, YM Zhang, CL Liu
2016 23rd International Conference on Pattern Recognition (ICPR), 3264-3269, 2016
232016
Fast and robust graph-based transductive learning via minimum tree cut
YM Zhang, K Huang, CL Liu
2011 IEEE 11th International Conference on Data Mining, 952-961, 2011
212011
Contextual stroke classification in online handwritten documents with graph attention networks
JY Ye, YM Zhang, Q Yang, CL Liu
2019 International conference on document analysis and recognition (ICDAR …, 2019
202019
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