Rui Yan (严睿)
Rui Yan (严睿)
Renmin University of China. Previously with Peking U. and UPenn
Verified email at
Cited by
Cited by
Style transfer in text: Exploration and evaluation
Z Fu, X Tan, N Peng, D Zhao, R Yan
AAAI 2018, 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
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
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
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
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
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
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
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
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
Y Song, R Yan, CT Li, JY Nie, M Zhang, D Zhao
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
Ruber: An unsupervised method for automatic evaluation of open-domain dialog systems
C Tao, L Mou, D Zhao, R Yan
AAAI 2018, 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
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
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
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
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
Tweet recommendation with graph co-ranking
R Yan, M Lapata, X Li
Proceedings of the 50th Annual Meeting of the Association for Computational …, 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
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
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