Deep Learning based Recommender System: A Survey and New Perspectives S Zhang, L Yao, A Sun, Y Tay
ACM Computing Surveys, 2017
3505 2017 Quaternion Knowledge Graph Embeddings S Zhang, Y Tay, L Yao, Q Liu
Neural Information Processing Systems (NeurIPS), 2019
578 2019 Next Item Recommendation with Self-Attention S Zhang, Y Tay, L Yao, A Sun, J An
AAAI Workshop on Recommender Systems and Natural Language Processing (RecNLP), 2018
260 * 2018 AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders S Zhang, L Yao, X Xu
SIGIR, 2017
204 2017 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
144 * 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
100 2018 Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with A Zhang, Y Tay, S Zhang, A Chan, AT Luu, SC Hui, J Fu
ICLR 2021 Oustanding Paper Award, 2021
88 2021 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
84 * 2019 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
78 2019 NeuRec: On Nonlinear Transformation for Personalized Ranking S Zhang, L Yao, A Sun, S Wang, G long, M Dong
IJCAI, 2018
76 2018 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
61 2020 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
51 2017 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
50 2021 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
45 2019 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
43 * 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
39 * 2020 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
39 2019 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
36 * 2021 Neural Methods for Logical Reasoning over Knowledge Graphs A Amayuelas, S Zhang, XS Rao, C Zhang
ICLR 2022, 2022
33 2022 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
32 * 2021 