Semantics-aware BERT for language understanding Z Zhang, Y Wu, H Zhao, Z Li, S Zhang, X Zhou, X Zhou Proceedings of the AAAI conference on artificial intelligence 34 (05), 9628-9635, 2020 | 427 | 2020 |
SG-Net: Syntax-guided machine reading comprehension Z Zhang, Y Wu, J Zhou, S Duan, H Zhao, R Wang Proceedings of the AAAI conference on artificial intelligence 34 (05), 9636-9643, 2020 | 210 | 2020 |
DCMN+: Dual co-matching network for multi-choice reading comprehension S Zhang, H Zhao, Y Wu, Z Zhang, X Zhou, X Zhou Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9563-9570, 2020 | 146 | 2020 |
Personalized response generation via generative split memory network Y Wu, X Ma, D Yang Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 51 | 2021 |
SG-Net: Syntax guided transformer for language representation Z Zhang, Y Wu, J Zhou, S Duan, H Zhao, R Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3285-3299, 2020 | 49 | 2020 |
Explicit contextual semantics for text comprehension Z Zhang, Y Wu, Z Li, H Zhao arXiv preprint arXiv:1809.02794, 2018 | 29 | 2018 |
Semi-supervised models via data augmentationfor classifying interactive affective responses J Chen, Y Wu, D Yang arXiv preprint arXiv:2004.10972, 2020 | 26 | 2020 |
I know what you want: Semantic learning for text comprehension Z Zhang, Y Wu, Z Li, S He, H Zhao, X Zhou, X Zhou arXiv preprint arXiv:1809.02794, 2018 | 20 | 2018 |
Auto-Retoucher (ART)—A Framework for Background Replacement and Foreground Adjustment Y Xiao, Y Li, Y Wu, L Zhu 2019 16th International Conference on Machine Vision Applications (MVA), 1-5, 2019 | 3 | 2019 |
Auto-retoucher (art)-a framework for background replacement and image editing Y Xiao, Y Li, Y Wu, L Zhu arXiv preprint arXiv:1901.03954, 2019 | 1 | 2019 |