| Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification X Lin, G Xiong, G Gou, Z Li, J Shi, J Yu Proceedings of the ACM Web Conference 2022, 633-642, 2022 | 206 | 2022 |
| Feature integration analysis of bag-of-features model for image retrieval J Yu, Z Qin, T Wan, X Zhang Neurocomputing 120, 355-364, 2013 | 206 | 2013 |
| Mucko: Multi-layer cross-modal knowledge reasoning for fact-based visual question answering Z Zhu, J Yu, Y Wang, Y Sun, Y Hu, Q Wu arXiv preprint arXiv:2006.09073, 2020 | 143 | 2020 |
| A SIFT-LBP image retrieval model based on bag of features X Yuan, J Yu, Z Qin, T Wan IEEE international conference on image processing, 1061-1064, 2011 | 132 | 2011 |
| Cogtree: Cognition tree loss for unbiased scene graph generation J Yu, Y Chai, Y Wang, Y Hu, Q Wu arXiv preprint arXiv:2009.07526, 2020 | 120 | 2020 |
| Syntax-BERT: Improving pre-trained transformers with syntax trees YT Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu The Conference of the European Chapter of the Association for Computational …, 2021 | 117* | 2021 |
| Mukea: Multimodal knowledge extraction and accumulation for knowledge-based visual question answering Y Ding, J Yu, B Liu, Y Hu, M Cui, Q Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 113 | 2022 |
| Cross-modal knowledge reasoning for knowledge-based visual question answering J Yu, Z Zhu, Y Wang, W Zhang, Y Hu, J Tan Pattern Recognition 108, 107563, 2020 | 112 | 2020 |
| 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 | 81 | 2020 |
| 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 | 71 | 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 AAAI 1 (3), 5, 2020 | 70 | 2020 |
| Modeling text with graph convolutional network for cross-modal information retrieval J Yu, Y Lu, Z Qin, W Zhang, Y Liu, J Tan, L Guo Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 55 | 2018 |
| DMRFNet: deep multimodal reasoning and fusion for visual question answering and explanation generation W Zhang, J Yu, W Zhao, C Ran Information Fusion 72, 70-79, 2021 | 52 | 2021 |
| KBGN: Knowledge-bridge graph network for adaptive vision-text reasoning in visual dialogue X Jiang, S Du, Z Qin, Y Sun, J Yu Proceedings of the 28th ACM international conference on multimedia, 1265-1273, 2020 | 38 | 2020 |
| Evolving attention with residual convolutions Y Wang, Y Yang, J Bai, M Zhang, J Bai, J Yu, C Zhang, G Huang, Y Tong International Conference on Machine Learning, 10971-10980, 2021 | 34 | 2021 |
| Scene graph reasoning with prior visual relationship for visual question answering Z Yang, Z Qin, J Yu, Y Hu arXiv preprint arXiv:1812.09681, 2018 | 33 | 2018 |
| 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 | 32 | 2012 |
| Multimodal deep fusion for image question answering W Zhang, J Yu, Y Wang, W Wang Knowledge-Based Systems 212, 106639, 2021 | 31 | 2021 |
| Learning dual encoding model for adaptive visual understanding in visual dialogue J Yu, X Jiang, Z Qin, W Zhang, Y Hu, Q Wu IEEE Transactions on Image Processing 30, 220-233, 2020 | 28 | 2020 |
| APER: adaptive evidence-driven reasoning network for machine reading comprehension with unanswerable questions W Peng, Y Hu, J Yu, L Xing, Y Xie Knowledge-Based Systems 229, 107364, 2021 | 26 | 2021 |
Zengchang QinBeihang UniversityVerified email at buaa.edu.cn
