| 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 | 7857 | 2017 |
| 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 | 3541 | 2019 |
| 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 | 3525 | 2009 |
| 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 | 2318 | 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 | 2265 | 2017 |
| Toward scalable systems for big data analytics: A technology tutorial H Hu, Y Wen, TS Chua, X Li IEEE access 2, 652-687, 2014 | 1652 | 2014 |
| Neural factorization machines for sparse predictive analytics X He, TS Chua Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017 | 1588 | 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 | 1514 | 2019 |
| 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 | 1318 | 2020 |
| 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 | 1253 | 2016 |
| 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 | 1057 | 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 | 1001 | 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 | 897 | 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 | 697 | 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 | 681 | 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 | 667 | 2017 |
| 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 | 633 | 2020 |
| 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 | 590 | 2018 |
| Topical word embeddings Y Liu, Z Liu, TS Chua, M Sun Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 583 | 2015 |
| Next-gpt: Any-to-any multimodal llm S Wu, H Fei, L Qu, W Ji, TS Chua Forty-first International Conference on Machine Learning, 2024 | 572 | 2024 |
Richang HongHefei University of TechnologyVerified email at hfut.edu.cn
