| Adaptive attentional network for few-shot knowledge graph completion J Sheng, S Guo, Z Chen, J Yue, L Wang, T Liu, H Xu arXiv preprint arXiv:2010.09638, 2020 | 124 | 2020 |
| A survey on deep learning event extraction: Approaches and applications Q Li, J Li, J Sheng, S Cui, J Wu, Y Hei, H Peng, S Guo, L Wang, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 81 | 2022 |
| Cross-domain recommendation to cold-start users via variational information bottleneck J Cao, J Sheng, X Cong, T Liu, B Wang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2209-2223, 2022 | 77 | 2022 |
| CasEE: A joint learning framework with cascade decoding for overlapping event extraction J Sheng, S Guo, B Yu, Q Li, Y Hei, L Wang, T Liu, H Xu arXiv preprint arXiv:2107.01583, 2021 | 70 | 2021 |
| Contrastive cross-domain sequential recommendation J Cao, X Cong, J Sheng, T Liu, B Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 59 | 2022 |
| Semi-open information extraction B Yu, Z Zhang, J Sheng, T Liu, Y Wang, Y Wang, B Wang Proceedings of the Web Conference 2021, 1661-1672, 2021 | 29 | 2021 |
| Attribute-consistent knowledge graph representation learning for multi-modal entity alignment Q Li, S Guo, Y Luo, C Ji, L Wang, J Sheng, J Li Proceedings of the ACM Web Conference 2023, 2499-2508, 2023 | 27 | 2023 |
| Improving distantly-supervised named entity recognition with self-collaborative denoising learning X Zhang, B Yu, T Liu, Z Zhang, J Sheng, M Xue, H Xu arXiv preprint arXiv:2110.04429, 2021 | 21 | 2021 |
| Enhancing multimodal entity and relation extraction with variational information bottleneck S Cui, J Cao, X Cong, J Sheng, Q Li, T Liu, J Shi IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 13 | 2024 |
| Relation-guided few-shot relational triple extraction X Cong, J Sheng, S Cui, B Yu, T Liu, B Wang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 11 | 2022 |
| CorED: incorporating type-level and instance-level correlations for fine-grained event detection J Sheng, R Sun, S Guo, S Cui, J Cao, L Wang, T Liu, H Xu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 10 | 2022 |
| Multi-level connection enhanced representation learning for script event prediction L Wang, J Yue, S Guo, J Sheng, Q Mao, Z Chen, S Zhong, C Li Proceedings of the Web Conference 2021, 3524-3533, 2021 | 10 | 2021 |
| Event extraction by associating event types and argument roles Q Li, S Guo, J Wu, J Li, J Sheng, H Peng, L Wang IEEE Transactions on Big Data, 2023 | 8 | 2023 |
| Type information utilized event detection via multi-channel gnns in electrical power systems Q Li, J Li, L Wang, C Ji, Y Hei, J Sheng, Q Sun, S Xue, P Xie ACM Transactions on the Web 17 (3), 1-26, 2023 | 8 | 2023 |
| A joint learning framework for the CCKS-2020 financial event extraction task J Sheng, Q Li, Y Hei, S Guo, B Yu, L Wang, M He, T Liu, H Xu Data Intelligence 3 (3), 444-459, 2021 | 7 | 2021 |
| A comprehensive survey on schema-based event extraction with deep learning Q Li, H Peng, J Li, Y Hei, R Sun, J Sheng, S Guo, L Wang IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 14 (9), 1, 2021 | 6 | 2021 |
| Label graph augmented soft cascade decoding model for overlapping event extraction Y Hei, L Wang, J Sheng, J Liu, Q Li, S Guo International Journal of Machine Learning and Cybernetics 15 (1), 79-95, 2024 | 5 | 2024 |
| Event causality extraction with event argument correlations S Cui, J Sheng, X Cong, QG Li, T Liu, J Shi arXiv preprint arXiv:2301.11621, 2023 | 5 | 2023 |
| Two-tier graph contextual embedding for cross-device user matching H Huang, S Guo, C Li, J Sheng, L Wang, J Li, J Liu, S Zhong Proceedings of the 30th ACM International Conference on Information …, 2021 | 4 | 2021 |
| CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process X Li, J Sheng, J Cao, W Zhang, Q Li, T Liu Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 2 | 2024 |
Tingwen LiuFull Professor of Institute of Information Engineering, Chinese Academy of SciencesBestätigte E-Mail-Adresse bei iie.ac.cn