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Tat-Seng Chua
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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
73852017
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
34852009
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
32232019
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
21862017
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
21202019
Toward scalable systems for big data analytics: A technology tutorial
H Hu, Y Wen, TS Chua, X Li
IEEE access 2, 652-687, 2014
16122014
Neural factorization machines for sparse predictive analytics
X He, TS Chua
Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017
15262017
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
14582019
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
12272020
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
12182016
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
10042017
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
9742017
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
8512019
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
6582017
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
6432019
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
6182019
Topical word embeddings
Y Liu, Z Liu, TS Chua, M Sun
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
5842015
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
5722018
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
5672009
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
5612020
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