| 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 | 746 | 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 | 388 | 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 | 351 | 2018 |
| 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 | 250 | 2019 |
| Multi-channel graph neural network for entity alignment Y Cao, Z Liu, C Li, J Li, TS Chua arXiv preprint arXiv:1908.09898, 2019 | 145 | 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 | 110 | 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 | 90 | 2020 |
| Neural collective entity linking Y Cao, L Hou, J Li, Z Liu arXiv preprint arXiv:1811.08603, 2018 | 90 | 2018 |
| Bridging text and knowledge by learning multi-prototype entity mention embedding Y Cao, L Huang, H Ji, X Chen, J Li Proceedings of ACL, 2017 | 86 | 2017 |
| 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 Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 80 | 2019 |
| 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 | 56 | 2020 |
| 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 | 53 | 2019 |
| Visually explainable recommendation X Chen, Y Zhang, H Xu, Y Cao, Z Qin, H Zha arXiv preprint arXiv:1801.10288, 2018 | 50 | 2018 |
| Improving event detection via open-domain trigger knowledge M Tong, B Xu, S Wang, Y Cao, L Hou, J Li, J Xie Proceedings of the 58th annual meeting of the association for computational …, 2020 | 41 | 2020 |
| 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 | 36 | 2020 |
| 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 | 35 | 2019 |
| 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 | 34 | 2020 |
| Joint representation learning of cross-lingual words and entities via attentive distant supervision Y Cao, L Hou, J Li, Z Liu, C Li, X Chen, T Dong arXiv preprint arXiv:1811.10776, 2018 | 24 | 2018 |
| Improving neural relation extraction with implicit mutual relations J Kuang, Y Cao, J Zheng, X He, M Gao, A Zhou 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1021-1032, 2020 | 23 | 2020 |
| Image enhanced event detection in news articles M Tong, S Wang, Y Cao, B Xu, J Li, L Hou, TS Chua Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9040-9047, 2020 | 17 | 2020 |
Tat-Seng ChuaNational University of Singaporecomp.nus.edu.sg의 이메일 확인됨
