| Neural collaborative filtering X He, L Liao, H Zhang, L Nie, X Hu, TS Chua Proceedings of the 26th international conference on world wide web, 173-182, 2017 | 7361 | 2017 |
| Nus-wide: a real-world web image database from national university of singapore TS Chua, J Tang, R Hong, H Li, Z Luo, Y Zheng Proceedings of the ACM international conference on image and video retrieval
, 2009 | 3484 | 2009 |
| Neural graph collaborative filtering X Wang, X He, M Wang, F Feng, TS Chua Proceedings of the 42nd international ACM SIGIR conference on Research and
, 2019 | 3210 | 2019 |
| Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning L Chen, H Zhang, J Xiao, L Nie, J Shao, W Liu, TS Chua Proceedings of the IEEE conference on computer vision and pattern
, 2017 | 2180 | 2017 |
| 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 | 2106 | 2019 |
| Toward scalable systems for big data analytics: A technology tutorial H Hu, Y Wen, TS Chua, X Li IEEE access 2, 652-687, 2014 | 1610 | 2014 |
| Neural factorization machines for sparse predictive analytics X He, TS Chua Proceedings of the 40th International ACM SIGIR conference on Research and
, 2017 | 1520 | 2017 |
| Meta-transfer learning for few-shot learning Q Sun, Y Liu, TS Chua, B Schiele Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2019 | 1451 | 2019 |
| Fast matrix factorization for online recommendation with implicit feedback X He, H Zhang, MY Kan, TS Chua Proceedings of the 39th International ACM SIGIR conference on Research and
, 2016 | 1218 | 2016 |
| Neural sparse voxel fields L Liu, J Gu, K Zaw Lin, TS Chua, C Theobalt Advances in Neural Information Processing Systems 33, 15651-15663, 2020 | 1208 | 2020 |
| Attentional factorization machines: Learning the weight of feature interactions via attention networks J Xiao, H Ye, X He, H Zhang, F Wu, TS Chua arXiv preprint arXiv:1708.04617, 2017 | 1002 | 2017 |
| Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention J Chen, H Zhang, X He, L Nie, W Liu, TS Chua Proceedings of the 40th International ACM SIGIR conference on Research and
, 2017 | 970 | 2017 |
| 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 | 848 | 2019 |
| Visual translation embedding network for visual relation detection H Zhang, Z Kyaw, SF Chang, TS Chua Proceedings of the IEEE conference on computer vision and pattern
, 2017 | 657 | 2017 |
| 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 | 643 | 2019 |
| MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video Y Wei, X Wang, L Nie, X He, R Hong, TS Chua Proceedings of the 27th ACM international conference on multimedia, 1437-1445, 2019 | 614 | 2019 |
| Topical word embeddings Y Liu, Z Liu, TS Chua, M Sun Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 583 | 2015 |
| NAIS: Neural attentive item similarity model for recommendation X He, Z He, J Song, Z Liu, YG Jiang, TS Chua IEEE Transactions on Knowledge and Data Engineering 30 (12), 2354-2366, 2018 | 569 | 2018 |
| Hierarchical spatio-temporal context modeling for action recognition J Sun, X Wu, S Yan, LF Cheong, TS Chua, J Li 2009 IEEE Conference on computer vision and pattern recognition, 2004-2011, 2009 | 567 | 2009 |
| Disentangled graph collaborative filtering X Wang, H Jin, A Zhang, X He, T Xu, TS Chua Proceedings of the 43rd international ACM SIGIR conference on research and
, 2020 | 557 | 2020 |
Richang HongHefei University of TechnologyPatvirtintas el. paštas hfut.edu.cn
