| Video Captioning via Hierarchical Reinforcement Learning X Wang, W Chen, J Wu, YF Wang, WY Wang CVPR 2018, 2017 | 123 | 2017 |
| VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research X Wang, J Wu, J Chen, L Li, YF Wang, WY Wang ICCV 2019, 2019 | 50 | 2019 |
| Reinforced Co-Training J Wu, L Li, WY Wang NAACL-HLT 2018, 2018 | 25 | 2018 |
| Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation J Wu, X Wang, WY Wang NAACL-HLT 2019, 2019 | 24 | 2019 |
| Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning X Wang, J Wu, D Zhang, Y Su, WY Wang AAAI 2019, 2018 | 19 | 2018 |
| Self-Supervised Dialogue Learning J Wu, X Wang, WY Wang ACL 2019, 2019 | 13 | 2019 |
| Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing W Xiong, J Wu, D Lei, M Yu, S Chang, X Guo, WY Wang NAACL-HLT 2019, 2019 | 13 | 2019 |
| Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification J Wu, W Xiong, WY Wang EMNLP-IJCNLP 2019, 2019 | 11 | 2019 |
| Knowledge Representation via Joint learning of Sequential Text and Knowledge Graphs J Wu, R Xie, Z Liu, M Sun arXiv preprint arXiv:1609.07075, 2016 | 10 | 2016 |
| TWEETQA: A Social Media Focused Question Answering Dataset W Xiong, J Wu, H Wang, V Kulkarni, M Yu, S Chang, X Guo, WY Wang ACL 2019, 2019 | 6 | 2019 |
| Analyzing Covid-19 on online social media: Trends, sentiments and emotions X Li, M Zhou, J Wu, A Yuan, F Wu, J Li arXiv preprint arXiv:2005.14464, 2020 | 3 | 2020 |
| Improving Robustness and Generality of NLP Models Using Disentangled Representations J Wu, X Li, X Ao, Y Meng, F Wu, J Li arXiv preprint arXiv:2009.09587, 2020 | | 2020 |
| Video Captioning via Hierarchical Reinforcement Learning: Supplementary Material X Wang, W Chen, J Wu, YF Wang, WY Wang | | |
