| Rule-guided compositional representation learning on knowledge graphs G Niu, Y Zhang, B Li, P Cui, S Liu, J Li, X Zhang Proceedings of the AAAI conference on artificial intelligence 34 (03), 2950-2958, 2020 | 73 | 2020 |
| AutoETER: Automated entity type representation for knowledge graph embedding G Niu, B Li, Y Zhang, S Pu, J Li arXiv preprint arXiv:2009.12030, 2020 | 59 | 2020 |
| A survey on neural open information extraction: Current status and future directions S Zhou, B Yu, A Sun, C Long, J Li, H Yu, J Sun, Y Li arXiv preprint arXiv:2205.11725, 2022 | 52 | 2022 |
| Clustering of conversational bandits for user preference learning and elicitation J Wu, C Zhao, T Yu, J Li, S Li Proceedings of the 30th ACM International Conference on Information …, 2021 | 25 | 2021 |
| Joint semantics and data-driven path representation for knowledge graph reasoning G Niu, B Li, Y Zhang, Y Sheng, C Shi, J Li, S Pu Neurocomputing 483, 249-261, 2022 | 15 | 2022 |
| Layout-aware information extraction for document-grounded dialogue: Dataset, method and demonstration Z Zhang, B Yu, H Yu, T Liu, C Fu, J Li, C Tang, J Sun, Y Li Proceedings of the 30th ACM International Conference on Multimedia, 7252-7260, 2022 | 11 | 2022 |
| Joint semantics and data-driven path representation for knowledge graph inference G Niu, B Li, Y Zhang, Y Sheng, C Shi, J Li, S Pu arXiv preprint arXiv:2010.02602, 2020 | 2 | 2020 |
