Yan-Ming Zhang
Cited by
Cited by
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
Fast kNN Graph Construction with Locality Sensitive Hashing
YM Zhang, K Huang, G Geng, CL Liu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
Deep Hyperspherical Learning
LS Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao
Advances in Neural Information Processing Systems, 3951-3961, 2017
Learning locality preserving graph from data
YM Zhang, K Huang, X Hou, CL Liu
IEEE transactions on cybernetics 44 (11), 2088-2098, 2014
Adaptive spatial pooling for image classification
Y Liu, YM Zhang, XY Zhang, CL Liu
Pattern Recognition 55, 58-67, 2016
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
Recurrent hidden semi-markov model
H Dai, B Dai, YM Zhang, S Li, L Song
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
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
Integrating supervised subspace criteria with restricted Boltzmann machine for feature extraction
GS Xie, XY Zhang, YM Zhang, CL Liu
2014 International Joint Conference on Neural Networks (IJCNN), 1622-1629, 2014
Combating phishing attacks via brand identity and authorization features
GG Geng, XD Lee, YM Zhang
Security and Communication Networks 8 (6), 888-898, 2015
Subspace regularization: A new semi-supervised learning method
YM Zhang, X Hou, S Xiang, CL Liu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
Large-scale graph-based semi-supervised learning via tree laplacian solver
YM Zhang, XY Zhang, XT Yuan, CL Liu
Thirtieth AAAI Conference on Artificial Intelligence, 2016
Transductive learning on adaptive graphs
YM Zhang, Y Zhang, DY Yeung, CL Liu, X Hou
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
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
Combination of classification and clustering results with label propagation
XY Zhang, P Yang, YM Zhang, K Huang, CL Liu
IEEE Signal Processing Letters 21 (5), 610-614, 2014
Exploiting coarse-to-fine mechanism for fine-grained recognition
Y Wang, XY Zhang, Y Zhang, X Hou, CL Liu
2016 IEEE International Conference on Image Processing (ICIP), 649-653, 2016
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