| 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 | 218 | 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 | 94 | 2013 |
| Deep hyperspherical learning W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song arXiv preprint arXiv:1711.03189, 2017 | 86 | 2017 |
| Learning locality preserving graph from data YM Zhang, K Huang, X Hou, CL Liu IEEE transactions on cybernetics 44 (11), 2088-2098, 2014 | 35 | 2014 |
| Adaptive spatial pooling for image classification Y Liu, YM Zhang, XY Zhang, CL Liu Pattern Recognition 55, 58-67, 2016 | 34 | 2016 |
| Bag of Tricks for 3D MRI Brain Tumor Segmentation YX Zhao, YM Zhang, CL Liu MICCAI workshop, 2019 | 27 | 2019 |
| Recurrent hidden semi-markov model H Dai, B Dai, YM Zhang, S Li, L Song | 26 | 2016 |
| 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 | 21 | 2014 |
| 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 | 20 | 2011 |
| 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 | 19 | 2014 |
| Handwritten mathematical expression recognition via paired adversarial learning JW Wu, F Yin, YM Zhang, XY Zhang, CL Liu International Journal of Computer Vision, 1-16, 2020 | 15 | 2020 |
| Image-to-markup generation via paired adversarial learning JW Wu, F Yin, YM Zhang, XY Zhang, CL Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 15 | 2018 |
| 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 | 13 | 2018 |
| 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 | 12 | 2016 |
| Combating phishing attacks via brand identity and authorization features GG Geng, XD Lee, YM Zhang Security and Communication Networks 8 (6), 888-898, 2015 | 12 | 2015 |
| 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 | 12 | 2014 |
| Multi-view semi-supervised 3D whole brain segmentation with a self-ensemble network YX Zhao, YM Zhang, M Song, CL Liu International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 9 | 2019 |
| 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 | 8 | 2019 |
| 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 | 8 | 2016 |
| 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 | 7 | 2009 |
