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Shuai Zhang
Shuai Zhang
Amazon
inf.ethz.ch의 이메일 확인됨 - 홈페이지
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Deep Learning based Recommender System: A Survey and New Perspectives
S Zhang, L Yao, A Sun, Y Tay
ACM Computing Surveys, 2017
33432017
Quaternion Knowledge Graph Embeddings
S Zhang, Y Tay, L Yao, Q Liu
NeurIPS, 2019
5482019
Next Item Recommendation with Self-Attention
S Zhang, Y Tay, L Yao, A Sun, J An
AAAI-19 Workshop on Recommender Systems and Natural Language Processing (RecNLP), 2018
248*2018
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
S Zhang, L Yao, X Xu
SIGIR, 2017
1992017
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
137*2020
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
982018
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with Parameters
A Zhang, Y Tay, S Zhang, A Chan, AT Luu, SC Hui, J Fu
ICLR 2021 Oustanding Paper Award, 2021
822021
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
81*2019
NeuRec: On Nonlinear Transformation for Personalized Ranking
S Zhang, L Yao, A Sun, S Wang, G long, M Dong
IJCAI, 2018
742018
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
732019
Symmetric Metric Learning with Adaptive Margin for Recommendation
M Li, S Zhang, F Zhu, W Qian, L Zang, J Han, S Hu
AAAI 2020, 2020
592020
Hybrid collaborative recommendation via semi-autoencoder
S Zhang, L Yao, X Xu, S Wang, L Zhu
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017
492017
xFraud: explainable fraud transaction detection
SX Rao, S Zhang, Z Han, Z Zhang, W Min, Z Chen, Y Shan, Y Zhao, ...
VLDB 2022: International Conference on Very Large Data Bases, 427-436, 2021
472021
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
452019
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
382019
Fleetrec: Large-scale recommendation inference on hybrid gpu-fpga clusters
W Jiang, Z He, S Zhang, K Zeng, L Feng, J Zhang, T Liu, Y Li, J Zhou, ...
KDD 2021, 3097-3105, 2021
37*2021
MicroRec: efficient recommendation inference by hardware and data structure solutions
W Jiang, Z He, S Zhang, TB Preußer, K Zeng, L Feng, J Zhang, T Liu, Y Li, ...
MLSys 2021, 2020
36*2020
Ease. ML: A Lifecycle Management System for Machine Learning
L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ...
CIDR 2021, 2021
35*2021
Quaternion Collaborative Filtering for Recommendation
S Zhang, L Yao, LV Tran, A Zhang, Y Tay
IJCAI 2019, 2019
312019
Degnn: Improving graph neural networks with graph decomposition
X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, Y Shan, ...
KDD 2021, 1223-1233, 2021
30*2021
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