Shuai Zhang
Shuai Zhang
Verified email at student.unsw.edu.au - Homepage
TitleCited byYear
Deep Learning based Recommender System: A Survey and New Perspectives
S Zhang, L Yao, A Sun, Y Tay
ACM Computing Surveys, 2017
537*2017
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
S Zhang, L Yao, X Xu
SIGIR 2017, 2017
492017
Next Item Recommendation with Self-Attentive Metric Learning
S Zhang, Y Tay, L Yao, A Sun, J An
AAAI workshop 2019 (RecNLP), 2019
30*2019
NeuRec: On Nonlinear Transformation for Personalized Ranking
S Zhang, L Yao, A Sun, S Wang, G long, M Dong
IJCAI 2018, 2018
252018
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
TDQ Vinh, Y Tay, S Zhang, G Cong, XL Li
WSDM 2020, 2018
8*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
7*2019
Quaternion Knowledge Graph Embeddings
S Zhang, Y Tay, L Yao, Q Liu
NeurIPS 2019, 2019
52019
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
ACL 2019, 2019
32019
Holographic Factorization Machines for Recommendation
Y Tay, S Zhang, AT Luu, SC Hui, L Yao, TDQ Vinh
AAAI 2019, 2019
32019
Quaternion Collaborative Filtering for Recommendation
S Zhang, L Yao, LV Tran, A Zhang, Y Tay
IJCAI 2019, 2019
22019
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
S Zhang, Y Tay, L Yao, B Wu, A Sun
IJCAI 2019 Demo Track, 2019
12019
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
2019
Deep neural networks meet recommender systems
S Zhang, L Yao, A Sun, G Guo, X Xu, L Zhu
https://digital-library.theiet.org/content/books/10.1049/pbpc035g_ch2 2, 2019
2019
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Articles 1–13