| Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots Y Wu, W Wu, C Xing, M Zhou, Z Li arXiv preprint arXiv:1612.01627, 2016 | 607 | 2016 |
| Topic aware neural response generation C Xing, W Wu, Y Wu, J Liu, Y Huang, M Zhou, WY Ma Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 569 | 2017 |
| Consert: A contrastive framework for self-supervised sentence representation transfer Y Yan, R Li, S Wang, F Zhang, W Wu, W Xu arXiv preprint arXiv:2105.11741, 2021 | 495 | 2021 |
| Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification S Hu, N Ding, H Wang, Z Liu, J Wang, J Li, W Wu, M Sun arXiv preprint arXiv:2108.02035, 2021 | 301 | 2021 |
| Hierarchical recurrent attention network for response generation C Xing, Y Wu, W Wu, Y Huang, M Zhou Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 232 | 2018 |
| 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 | 199 | 2020 |
| Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. C Tao, S Gao, M Shang, W Wu, D Zhao, R Yan IJCAI, 4418-4424, 2018 | 149 | 2018 |
| 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 | 147 | 2019 |
| Question retrieval with high quality answers in community question answering K Zhang, W Wu, H Wu, Z Li, M Zhou Proceedings of the 23rd ACM international conference on conference on …, 2014 | 143 | 2014 |
| One time of interaction may not be enough: Go deep with an interaction-over-interaction network for response selection in dialogues C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan Proceedings of the 57th annual meeting of the association for computational …, 2019 | 132 | 2019 |
| Response selection with topic clues for retrieval-based chatbots Y Wu, Z Li, W Wu, M Zhou Neurocomputing 316, 251-261, 2018 | 128* | 2018 |
| Dance revolution: Long-term dance generation with music via curriculum learning R Huang, H Hu, W Wu, K Sawada, M Zhang, D Jiang arXiv preprint arXiv:2006.06119, 2020 | 124 | 2020 |
| Low-resource knowledge-grounded dialogue generation X Zhao, W Wu, C Tao, C Xu, D Zhao, R Yan arXiv preprint arXiv:2002.10348, 2020 | 108 | 2020 |
| A sequential matching framework for multi-turn response selection in retrieval-based chatbots Y Wu, W Wu, C Xing, C Xu, Z Li, M Zhou Computational Linguistics 45 (1), 163-197, 2019 | 94 | 2019 |
| Neural response generation with dynamic vocabularies Y Wu, W Wu, D Yang, C Xu, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 80 | 2018 |
| Zero-resource knowledge-grounded dialogue generation L Li, C Xu, W Wu, Y Zhao, X Zhao, C Tao Advances in Neural Information Processing Systems 33, 8475-8485, 2020 | 72 | 2020 |
| Popularity bias is not always evil: Disentangling benign and harmful bias for recommendation Z Zhao, J Chen, S Zhou, X He, X Cao, F Zhang, W Wu IEEE Transactions on Knowledge and Data Engineering, 2022 | 68 | 2022 |
| Learning query and document similarities from click-through bipartite graph with metadata W Wu, H Li, J Xu Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 62 | 2013 |
| Improving search relevance for short queries in community question answering H Wu, W Wu, M Zhou, E Chen, L Duan, HY Shum Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 60 | 2014 |
| DisenKGAT: knowledge graph embedding with disentangled graph attention network J Wu, W Shi, X Cao, J Chen, W Lei, F Zhang, W Wu, X He Proceedings of the 30th ACM international conference on information …, 2021 | 55 | 2021 |
