| 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 | 2684 | 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 | 2302 | 2009 |
| Toward scalable systems for big data analytics: A technology tutorial H Hu, Y Wen, TS Chua, X Li IEEE access 2, 652-687, 2014 | 1197 | 2014 |
| 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 | 1027 | 2017 |
| Neural factorization machines for sparse predictive analytics X He, TS Chua Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017 | 708 | 2017 |
| 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 | 688 | 2016 |
| 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 | 547 | 2009 |
| 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 | 515 | 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 | 504 | 2019 |
| Tour the world: building a web-scale landmark recognition engine YT Zheng, M Zhao, Y Song, H Adam, U Buddemeier, A Bissacco, ... 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1085-1092, 2009 | 471 | 2009 |
| 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 | 448 | 2019 |
| 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 | 436 | 2017 |
| Topical word embeddings Y Liu, Z Liu, TS Chua, M Sun Twenty-ninth AAAI conference on artificial intelligence, 2015 | 428 | 2015 |
| Multi-instance multi-label learning ZH Zhou, ML Zhang, SJ Huang, YF Li Artificial Intelligence 176 (1), 2291-2320, 2012 | 419 | 2012 |
| 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 | 409 | 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 | 398 | 2017 |
| Domain adaptation from multiple sources via auxiliary classifiers L Duan, IW Tsang, D Xu, TS Chua Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 343 | 2009 |
| Exploiting internal and external semantics for the clustering of short texts using world knowledge X Hu, N Sun, C Zhang, TS Chua Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 325 | 2009 |
| Aspect ranking: identifying important product aspects from online consumer reviews J Yu, ZJ Zha, M Wang, TS Chua Proceedings of the 49th annual meeting of the association for computational …, 2011 | 313 | 2011 |
| Question answering passage retrieval using dependency relations H Cui, R Sun, K Li, MY Kan, TS Chua Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 312 | 2005 |
Richang HongHefei University of TechnologyVerified email at hfut.edu.cn
