| DailyDialog: A Manually Labeled Multi-turn Dialogue Dataset YR Li, H Su, XY Shen, WJ Li Proceedings of the 8th International Joint Conference on Natural Language …, 2017 | 785 | 2017 |
| RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo Proceedings of the 27th ACM International Conference on Information and …, 2018 | 693 | 2018 |
| Social Collaborative Filtering by Trust B Yang, Y Lei, J Liu, W Li IEEE transactions on pattern analysis and machine intelligence 39 (8), 1633-1647, 2017 | 633 | 2017 |
| Mode Regularized Generative Adversarial Networks T Che, Y Li, AP Jacob, Y Bengio, W Li Proceedings of International Conference on Learning Representations (ICLR’2017), 2017 | 562 | 2017 |
| Knowledge graph convolutional networks for recommender systems H Wang, M Zhao, X Xie, W Li, M Guo The world wide web conference, 3307-3313, 2019 | 446 | 2019 |
| Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems H Wang, F Zhang, M Zhang, J Leskovec, M Zhao, W Li, Z Wang | 318 | 2019 |
| Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation H Wang, F Zhang, M Zhao, W Li, X Xie, M Guo The World Wide Web Conference, 2000-2010, 2019 | 316 | 2019 |
| Faithful to the Original: Fact Aware Neural Abstractive Summarization Z Cao, F Wei, W Li, S Li AAAI 2017, 2017 | 278 | 2017 |
| Extractive Summarization using Supervised and Semi-Supervised Learning KF Wong, M Wu, W Li Proceedings of the 22nd International Conference on Computational …, 2008 | 271 | 2008 |
| Maximum-Likelihood Augmented Discrete Generative Adversarial Networks T Che, Y Li, R Zhang, RD Hjelm, W Li, Y Song, Y Bengio arXiv preprint arXiv:1702.07983, 2017 | 260 | 2017 |
| Applying Regression Models to Query-focused Multi-document Summarization Y Ouyang, W Li, S Li, Q Lu Information Processing & Management 47 (2), 227-237, 2011 | 213 | 2011 |
| Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization Z Cao, W Li, F Wei, S Li ACL2018 2, 3, 2018 | 178 | 2018 |
| Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach J Xu, X Sun, Q Zeng, X Ren, X Zhang, H Wang, W Li arXiv preprint arXiv:1805.05181, 2018 | 173 | 2018 |
| A Novel Neural Topic Model and Its Supervised Extension Z Cao, S Li, Y Liu, W Li, H Ji AAAI, 2210-2216, 2015 | 156 | 2015 |
| A Conditional Variational Framework for Dialog Generation X Shen, H Su, Y Li, W Li, S Niu, Y Zhao, A Aizawa, G Long ACL 2017, 2017 | 136 | 2017 |
| Learning summary prior representation for extractive summarization Z Cao, F Wei, S Li, W Li, M Zhou, H Wang Proceedings of ACL: Short Papers, 829-833, 2015 | 133 | 2015 |
| Attsum: Joint learning of focusing and summarization with neural attention Z Cao, W Li, S Li, F Wei, Y Li arXiv preprint arXiv:1604.00125, 2016 | 124 | 2016 |
| Pruning from scratch Y Wang, X Zhang, L Xie, J Zhou, H Su, B Zhang, X Hu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12273 …, 2020 | 123 | 2020 |
| Extractive Summarization using Inter- and Intra-Event Relevance W Li, M Wu, Q Lu, W Xu, C Yuan Proceedings of the 21st International Conference on Computational …, 2006 | 121 | 2006 |
| Query-Sensitive Mutual Reinforcement Chain and Its Application in Query-oriented Multi-document Summarization F Wei, W Li, Q Lu, Y He Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 113 | 2008 |
Furu WeiPartner Research Manager, Microsoft ResearchVerified email at microsoft.com
