| Kgat: Knowledge graph attention network for recommendation X Wang, X He, Y Cao, M Liu, TS Chua Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 1810 | 2019 |
| Explainable reasoning over knowledge graphs for recommendation X Wang, D Wang, C Xu, X He, Y Cao, TS Chua Proceedings of the AAAI conference on artificial intelligence 33 (01), 5329-5336, 2019 | 751 | 2019 |
| Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences Y Cao, X Wang, X He, Z Hu, TS Chua The world wide web conference, 151-161, 2019 | 549 | 2019 |
| Sequential recommendation with user memory networks X Chen, H Xu, Y Zhang, J Tang, Y Cao, Z Qin, H Zha Proceedings of the eleventh ACM international conference on web search and …, 2018 | 520 | 2018 |
| Multi-channel graph neural network for entity alignment Y Cao, Z Liu, C Li, J Li, TS Chua arXiv preprint arXiv:1908.09898, 2019 | 296 | 2019 |
| Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation X Chen, H Chen, H Xu, Y Zhang, Y Cao, Z Qin, H Zha Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 244 | 2019 |
| Reinforced negative sampling over knowledge graph for recommendation X Wang, Y Xu, X He, Y Cao, M Wang, TS Chua Proceedings of the web conference 2020, 99-109, 2020 | 175 | 2020 |
| Semi-supervised entity alignment via joint knowledge embedding model and cross-graph model C Li, Y Cao, L Hou, J Shi, J Li, TS Chua Association for Computational Linguistics, 2019 | 165 | 2019 |
| Neural collective entity linking Y Cao, L Hou, J Li, Z Liu arXiv preprint arXiv:1811.08603, 2018 | 148 | 2018 |
| Exploring and evaluating attributes, values, and structures for entity alignment Z Liu, Y Cao, L Pan, J Li, TS Chua arXiv preprint arXiv:2010.03249, 2020 | 119 | 2020 |
| Tree-augmented cross-modal encoding for complex-query video retrieval X Yang, J Dong, Y Cao, X Wang, M Wang, TS Chua Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 116 | 2020 |
| Improving event detection via open-domain event trigger knowledge M Tong, B Xu, S Wang, Y Cao, L Hou, J Li, J Xie Association for Computational Linguistics, 2020 | 110 | 2020 |
| Bridge text and knowledge by learning multi-prototype entity mention embedding Y Cao, L Huang, H Ji, X Chen, J Li Association for Computational Linguistics, 2017 | 107 | 2017 |
| Low-resource name tagging learned with weakly labeled data Y Cao, Z Hu, T Chua, Z Liu, H Ji arXiv preprint arXiv:1908.09659, 2019 | 90 | 2019 |
| Prompt for extraction? PAIE: Prompting argument interaction for event argument extraction Y Ma, Z Wang, Y Cao, M Li, M Chen, K Wang, J Shao arXiv preprint arXiv:2202.12109, 2022 | 88 | 2022 |
| Expertise style transfer: A new task towards better communication between experts and laymen Y Cao, R Shui, L Pan, MY Kan, Z Liu, TS Chua arXiv preprint arXiv:2005.00701, 2020 | 83 | 2020 |
| Large language model is not a good few-shot information extractor, but a good reranker for hard samples! Y Ma, Y Cao, YC Hong, A Sun arXiv preprint arXiv:2303.08559, 2023 | 70 | 2023 |
| Do pre-trained models benefit knowledge graph completion? a reliable evaluation and a reasonable approach X Lv, Y Lin, Y Cao, L Hou, J Li, Z Liu, P Li, J Zhou Association for Computational Linguistics, 2022 | 64 | 2022 |
| Visually explainable recommendation X Chen, Y Zhang, H Xu, Y Cao, Z Qin, H Zha arXiv preprint arXiv:1801.10288, 2018 | 61 | 2018 |
| Who, where, and what to wear? extracting fashion knowledge from social media Y Ma, X Yang, L Liao, Y Cao, TS Chua Proceedings of the 27th ACM International Conference on Multimedia, 257-265, 2019 | 57 | 2019 |
Tat-Seng ChuaNational University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
