| Structured knowledge distillation for semantic segmentation Y Liu, K Chen, C Liu, Z Qin, Z Luo, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1040 | 2019 |
| 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 | 402* | 2018 |
| 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 | 298* | 2018 |
| 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 | 290 | 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 | 214 | 2013 |
| Multifocus image fusion based on robust principal component analysis T Wan, C Zhu, Z Qin Pattern Recognition Letters 34 (9), 1001-1008, 2013 | 190 | 2013 |
| 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 | 169 | 2017 |
| A SIFT-LBP IMAGE RETRIEVAL MODEL BASED ON BAG-OF-FEATURES X Yuan, J Yu, Z Qin, T Wan ICIP, 0 | 136* | |
| Decision tree learning with fuzzy labels Z Qin, J Lawry Information Sciences 172 (1-2), 91-129, 2005 | 117 | 2005 |
| Reasoning on the relation: Enhancing visual representation for visual question answering and cross-modal retrieval J Yu, W Zhang, Y Lu, Z Qin, Y Hu, J Tan, Q Wu IEEE Transactions on Multimedia 22 (12), 3196-3209, 2020 | 103 | 2020 |
| Dualvd: An adaptive dual encoding model for deep visual understanding in visual dialogue X Jiang, J Yu, Z Qin, Y Zhuang, X Zhang, Y Hu, Q Wu Proceedings of the AAAI conference on artificial intelligence 34 (07), 11125 …, 2020 | 86 | 2020 |
| Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks T Wan, S Xu, C Sang, Y Jin, Z Qin Neurocomputing 365, 157-170, 2019 | 85 | 2019 |
| Automated identification and grading of coronary artery stenoses with X-ray angiography T Wan, H Feng, C Tong, D Li, Z Qin Computer methods and programs in biomedicine 167, 13-22, 2018 | 78 | 2018 |
| Multimodal feature fusion by relational reasoning and attention for visual question answering W Zhang, J Yu, H Hu, H Hu, Z Qin Information Fusion 55, 116-126, 2020 | 77 | 2020 |
| Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement T Wan, L Zhao, H Feng, D Li, C Tong, Z Qin Neurocomputing 408, 144-156, 2020 | 75 | 2020 |
| Prior visual relationship reasoning for visual question answering Z Yang, Z Qin, J Yu, T Wan 2020 IEEE International Conference on Image Processing (ICIP), 1411-1415, 2020 | 67* | 2020 |
| Pixel level data augmentation for semantic image segmentation using generative adversarial networks S Liu, J Zhang, Y Chen, Y Liu, Z Qin, T Wan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 65 | 2019 |
| An application of compressive sensing for image fusion T Wan, Z Qin Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010 | 65 | 2010 |
| Text generation based on generative adversarial nets with latent variables H Wang, Z Qin, T Wan Pacific-Asia conference on knowledge discovery and data mining, 92-103, 2018 | 63 | 2018 |
| ROC analysis for predictions made by probabilistic classifiers ZC Qin 2005 International Conference on Machine Learning and Cybernetics 5, 3119-3124, 2005 | 61 | 2005 |
Tao WanBeihang University/Case Western Reserve University /Boston University School of MedicineVerified email at buaa.edu.cn
