| Style transfer in text: Exploration and evaluation Z Fu, X Tan, N Peng, D Zhao, R Yan AAAI 2018, 2017 | 482 | 2017 |
| Natural language inference by tree-based convolution and heuristic matching L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin ACL 2016, 2016 | 382 | 2016 |
| Learning to respond with deep neural networks for retrieval-based human-computer conversation system R Yan, Y Song, H Wu Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 372 | 2016 |
| How transferable are neural networks in nlp applications? L Mou, Z Meng, R Yan, G Li, Y Xu, L Zhang, Z Jin EMNLP 2016, 2016 | 341 | 2016 |
| Plan-and-write: Towards better automatic storytelling L Yao, N Peng, R Weischedel, K Knight, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7378-7385, 2019 | 324 | 2019 |
| Sequence to backward and forward sequences: A content-introducing approach to generative short-text conversation L Mou, Y Song, R Yan, G Li, L Zhang, Z Jin COLING 2016, 2016 | 272 | 2016 |
| Relation-aware entity alignment for heterogeneous knowledge graphs Y Wu, X Liu, Y Feng, Z Wang, R Yan, D Zhao arXiv preprint arXiv:1908.08210, 2019 | 268 | 2019 |
| Multi-view response selection for human-computer conversation X Zhou, D Dong, H Wu, S Zhao, D Yu, H Tian, X Liu, R Yan Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 256 | 2016 |
| Evolutionary timeline summarization: a balanced optimization framework via iterative substitution R Yan, X Wan, J Otterbacher, L Kong, X Li, Y Zhang Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 243 | 2011 |
| An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. Y Song, R Yan, CT Li, JY Nie, M Zhang, D Zhao | 219* | 2018 |
| Citation count prediction: learning to estimate future citations for literature R Yan, J Tang, X Liu, D Shan, X Li Proceedings of the 20th ACM international conference on Information and …, 2011 | 218 | 2011 |
| Ruber: An unsupervised method for automatic evaluation of open-domain dialog systems C Tao, L Mou, D Zhao, R Yan AAAI 2018, 2017 | 216 | 2017 |
| Knowledge-grounded dialogue generation with pre-trained language models X Zhao, W Wu, C Xu, C Tao, D Zhao, R Yan arXiv preprint arXiv:2010.08824, 2020 | 159 | 2020 |
| Coherence constrained graph LSTM for group activity recognition J Tang, X Shu, R Yan, L Zhang IEEE transactions on pattern analysis and machine intelligence 44 (2), 636-647, 2019 | 158 | 2019 |
| Cgmh: Constrained sentence generation by metropolis-hastings sampling N Miao, H Zhou, L Mou, R Yan, L Li Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6834-6842, 2019 | 146 | 2019 |
| Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan Proceedings of the twelfth ACM international conference on web search and …, 2019 | 145 | 2019 |
| How to make context more useful? an empirical study on context-aware neural conversational models Z Tian, R Yan, L Mou, Y Song, Y Feng, D Zhao Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 141 | 2017 |
| Tweet recommendation with graph co-ranking R Yan, M Lapata, X Li Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 138 | 2012 |
| To better stand on the shoulder of giants R Yan, C Huang, J Tang, Y Zhang, X Li Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries, 51-60, 2012 | 133 | 2012 |
| Overcoming catastrophic forgetting for continual learning via model adaptation W Hu, Z Lin, B Liu, C Tao, Z Tao, J Ma, D Zhao, R Yan International conference on learning representations, 2018 | 132 | 2018 |
