Shuai Zhang
Cited by
Cited by
Deep Learning based Recommender System: A Survey and New Perspectives
S Zhang, L Yao, A Sun, Y Tay
ACM Computing Surveys, 2017
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
S Zhang, L Yao, X Xu
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
Next item recommendation with self-attentive metric learning
S Zhang, Y Tay, L Yao, A Sun
AAAI Workshop RecNLP, 2018
Quaternion Knowledge Graph Embeddings
S Zhang, Y Tay, L Yao, Q Liu
Advances in Neural Information Processing Systems (NeurIPS), 2019
NeuRec: On Nonlinear Transformation for Personalized Ranking
S Zhang, L Yao, A Sun, S Wang, G long, M Dong
International Joint Conference on Artificial Intelligence (IJCAI), 2018
Internet of Things meets brain–computer interface: A unified deep learning framework for enabling human-thing cognitive interactivity
X Zhang, L Yao, S Zhang, S Kanhere, M Sheng, Y Liu
IEEE Internet of Things Journal 6 (2), 2084-2092, 2018
Unraveling Metric Vector Spaces with Factorization for Recommendation
S Zhang, L Yao, B Wu, X Xu, X Zhang, L Zhu
IEEE Transactions on Industrial Informatics, 2019
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
L Vinh Tran, Y Tay, S Zhang, G Cong, X Li
WSDM 2020 (Best Paper Award Runner-up), 609-617, 2020
Hybrid collaborative recommendation via semi-autoencoder
S Zhang, L Yao, X Xu, S Wang, L Zhu
International Conference on Neural Information Processing, 185-193, 2017
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Y Tay, A Zhang, LA Tuan, J Rao, S Zhang, S Wang, J Fu, SC Hui
The 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Rating prediction via generative convolutional neural networks based regression
X Ning, L Yao, X Wang, B Benatallah, M Dong, S Zhang
Pattern Recognition Letters, 2018
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
S Zhang, Y Tay, L Yao, B Wu, A Sun
International Joint Conference on Artificial Intelligence (IJCAI) Demo Track, 2019
Holographic Factorization Machines for Recommendation
Y Tay, S Zhang, AT Luu, SC Hui, L Yao, TDQ Vinh
The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019
Expert recommendation via tensor factorization with regularizing hierarchical topical relationships
C Huang, L Yao, X Wang, B Benatallah, S Zhang, M Dong
International conference on service-oriented computing, 373-387, 2018
Recommendations on the Internet of Things: Requirements, Challenges, and Directions
L Yao, X Wang, QZ Sheng, S Dustdar, S Zhang
IEEE Internet Computing 23 (3), 46-54, 2019
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition
X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, X Rao, H Ren, Y Shan, ...
arXiv preprint arXiv:1910.04499, 2020
Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks
X Zhang, L Yao, X Wang, W Zhang, S Zhang, Y Liu
The 19th IEEE International Conference on Data Mining (ICDM), 2018
Quaternion Collaborative Filtering for Recommendation
S Zhang, L Yao, LV Tran, A Zhang, Y Tay
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Symmetric Metric Learning with Adaptive Margin for Recommendation
M Li, S Zhang, F Zhu, W Qian, L Zang, J Han, S Hu
Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020
Personalized Recommendation: Neural Architectures and Beyond
S Zhang
The University of New South Wales, 2019
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