Active deep learning method for semi-supervised sentiment classification S Zhou, Q Chen, X Wang Neurocomputing 120, 536-546, 2013 | 219 | 2013 |
Fuzzy deep belief networks for semi-supervised sentiment classification S Zhou, Q Chen, X Wang Neurocomputing 131, 312-322, 2014 | 206 | 2014 |
Active deep networks for semi-supervised sentiment classification S Zhou, Q Chen, X Wang Coling 2010: Posters, 1515-1523, 2010 | 142 | 2010 |
Discriminative deep belief networks for visual data classification Y Liu, S Zhou, Q Chen Pattern recognition 44 (10-11), 2287-2296, 2011 | 132 | 2011 |
Discriminative deep belief networks for image classification S Zhou, Q Chen, X Wang 2010 IEEE international conference on image processing, 1561-1564, 2010 | 59 | 2010 |
Convolutional deep networks for visual data classification S Zhou, Q Chen, X Wang Neural processing letters 38, 17-27, 2013 | 37 | 2013 |
HIT-OR3C: an opening recognition corpus for Chinese characters S Zhou, Q Chen, X Wang Proceedings of the 9th IAPR International Workshop on document analysis …, 2010 | 31 | 2010 |
A novel exemplar-based image inpainting algorithm Y Liu, C Liu, H Zou, S Zhou, Q Shen, T Chen 2015 International Conference on Intelligent Networking and Collaborative …, 2015 | 20 | 2015 |
Combining deep neural networks for protein secondary structure prediction S Zhou, H Zou, C Liu, M Zang, T Liu IEEE Access 8, 84362-84370, 2020 | 17 | 2020 |
Active semi-supervised learning method with hybrid deep belief networks S Zhou, Q Chen, X Wang PloS one 9 (9), e107122, 2014 | 16 | 2014 |
Sentiment classification via l2-norm deep belief network T Liu, M Li, S Zhou, X Du Proceedings of the 20th ACM international conference on Information and …, 2011 | 16 | 2011 |
Deep Belief Networks for Automatic Music Genre Classification. X Yang, Q Chen, S Zhou, X Wang INTERSPEECH, 2433-2436, 2011 | 16 | 2011 |
Survey of deep learning techniques for disease prediction based on omics data X Yu, S Zhou, H Zou, Q Wang, C Liu, M Zang, T Liu Human Gene 35, 201140, 2023 | 15 | 2023 |
Deep quantum networks for classification S Zhou, Q Chen, X Wang 2010 20th International Conference on Pattern Recognition, 2885-2888, 2010 | 14 | 2010 |
A multi-instance multi-label scene classification method based on multi-kernel fusion C Tong-tong, L Chan-Juan, Z Hai-Lin, Z Shu-sen, L Ying, D Xin-Miao 2015 SAI Intelligent Systems Conference (IntelliSys), 782-787, 2015 | 12 | 2015 |
An Empirical Evaluation on Online Chinese Handwriting Databases S Zhou, Q Chen, X Wang, Z Chen, S Ao 2012 10th IAPR International Workshop on Document Analysis Systems, 455-459, 2012 | 10 | 2012 |
A corpus-based concatenative mandarin singing voice synthesis system SS Zhou, QC Chen, DD Wang, XH Yang 2008 International Conference on Machine Learning and Cybernetics 5, 2695-2699, 2008 | 9 | 2008 |
CRMSNet: A deep learning model that uses convolution and residual multi‐head self‐attention block to predict RBPs for RNA sequence Z Pan, S Zhou, H Zou, C Liu, M Zang, T Liu, Q Wang Proteins: Structure, Function, and Bioinformatics 91 (8), 1032-1041, 2023 | 8 | 2023 |
SRTNet: Scanning, Reading, and Thinking Network for myocardial infarction detection and localization K Liu, T Liu, D Wen, M Zang, S Zhou, C Liu Expert Systems with Applications 240, 122402, 2024 | 6 | 2024 |
WVDL: Weighted voting deep learning model for predicting RNA-protein binding sites Z Pan, S Zhou, T Liu, C Liu, M Zang, Q Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (5 …, 2023 | 5 | 2023 |