| 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 | 636 | 2016 |
| 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 | 613 | 2021 |
| 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 | 588 | 2017 |
| 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 | 389 | 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 | 234 | 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 | 223 | 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 | 161 | 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 | 157 | 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 | 145 | 2014 |
| Dance revolution: Long-term dance generation with music via curriculum learning R Huang, H Hu, W Wu, K Sawada, M Zhang, D Jiang International conference on learning representations, 2020 | 144 | 2020 |
| 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 | 140 | 2019 |
| Response selection with topic clues for retrieval-based chatbots Y Wu, Z Li, W Wu, M Zhou Neurocomputing 316, 251-261, 2018 | 134* | 2018 |
| Low-resource knowledge-grounded dialogue generation X Zhao, W Wu, C Tao, C Xu, D Zhao, R Yan arXiv preprint arXiv:2002.10348, 2020 | 117 | 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 35 (10), 9920-9931, 2022 | 105 | 2022 |
| 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 | 97 | 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 | 82 | 2018 |
| Incorporating dynamic semantics into pre-trained language model for aspect-based sentiment analysis K Zhang, K Zhang, M Zhang, H Zhao, Q Liu, W Wu, E Chen arXiv preprint arXiv:2203.16369, 2022 | 76 | 2022 |
| 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 | 76 | 2020 |
| ASAP: A Chinese review dataset towards aspect category sentiment analysis and rating prediction J Bu, L Ren, S Zheng, Y Yang, J Wang, F Zhang, W Wu arXiv preprint arXiv:2103.06605, 2021 | 75 | 2021 |
| 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 | 74 | 2021 |