| Question classification using head words and their hypernyms Z Huang, M Thint, Z Qin Proceedings of the 2008 Conference on empirical methods in natural language …, 2008 | 217 | 2008 |
| Feature integration analysis of bag-of-features model for image retrieval J Yu, Z Qin, T Wan, X Zhang Neurocomputing 120, 355-364, 2013 | 139 | 2013 |
| Multifocus image fusion based on robust principal component analysis T Wan, C Zhu, Z Qin Pattern Recognition Letters 34 (9), 1001-1008, 2013 | 130 | 2013 |
| A SIFT-LBP IMAGE RETRIEVAL MODEL BASED ON BAG-OF-FEATURES X Yuan, J Yu, Z Qin, T Wan ICIP, 0 | 102* | |
| Decision tree learning with fuzzy labels Z Qin, J Lawry Information Sciences 172 (1-2), 91-129, 2005 | 96 | 2005 |
| An application of compressive sensing for image fusion T Wan, Z Qin International Journal of Computer Mathematics 88 (18), 3915-3930, 2011 | 58 | 2011 |
| Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features T Wan, J Cao, J Chen, Z Qin Neurocomputing 229, 34-44, 2017 | 50 | 2017 |
| Emotion classification with data augmentation using generative adversarial networks X Zhu, Y Liu, J Li, T Wan, Z Qin Pacific-Asia conference on knowledge discovery and data mining, 349-360, 2018 | 49 | 2018 |
| ROC analysis for predictions made by probabilistic classifiers ZC Qin 2005 International Conference on Machine Learning and Cybernetics 5, 3119-3124, 2005 | 49 | 2005 |
| Data augmentation in emotion classification using generative adversarial networks X Zhu, Y Liu, Z Qin, J Li arXiv preprint arXiv:1711.00648, 2017 | 48 | 2017 |
| Auto-painter: Cartoon image generation from sketch by using conditional generative adversarial networks Y Liu, Z Qin, Z Luo, H Wang arXiv preprint arXiv:1705.01908, 2017 | 45 | 2017 |
| Structured knowledge distillation for semantic segmentation Y Liu, K Chen, C Liu, Z Qin, Z Luo, J Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 40 | 2019 |
| Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks Y Liu, Z Qin, T Wan, Z Luo Neurocomputing 311, 78-87, 2018 | 36 | 2018 |
| Classification of benign and malignant breast tumors in ultrasound images based on multiple sonographic and textural features R Liao, T Wan, Z Qin 2011 Third International Conference on Intelligent Human-Machine Systems and …, 2011 | 33 | 2011 |
| A novel serial crime prediction model based on Bayesian learning theory R Liao, X Wang, L Li, Z Qin 2010 International Conference on Machine Learning and Cybernetics 4, 1757-1762, 2010 | 30 | 2010 |
| Naive Bayes classification given probability estimation trees Z Qin 2006 5th International Conference on Machine Learning and Applications …, 2006 | 30 | 2006 |
| LFOIL: Linguistic rule induction in the label semantics framework Z Qin, J Lawry Fuzzy sets and systems 159 (4), 435-448, 2008 | 27 | 2008 |
| Spatial weighting for bag-of-features based image retrieval C Wang, B Zhang, Z Qin, J Xiong International Symposium on Integrated Uncertainty in Knowledge Modelling and …, 2013 | 23 | 2013 |
| Cross-modal topic correlations for multimedia retrieval J Yu, Y Cong, Z Qin, T Wan Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 22 | 2012 |
| A new technique for summarizing video sequences through histogram evolution T Wan, Z Qin 2010 International Conference on Signal Processing and Communications (SPCOM …, 2010 | 22 | 2010 |
Jonathan LawryProfessor of Artificial Intelligence, University of Bristol在 bris.ac.uk 的电子邮件经过验证
