| Deep Learning based Recommender System: A Survey and New Perspectives S Zhang, L Yao, A Sun, Y Tay ACM Computing Surveys, 2017 | 2801 | 2017 |
| Quaternion Knowledge Graph Embeddings S Zhang, Y Tay, L Yao, Q Liu NeurIPS 2019: Advances in Neural Information Processing Systems 32, 2019 | 449 | 2019 |
| 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 | 233* | 2018 |
| AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders S Zhang, L Yao, X Xu SIGIR 2017, 2017 | 183 | 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 | 117* | 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 | 88 | 2018 |
| NeuRec: On Nonlinear Transformation for Personalized Ranking S Zhang, L Yao, A Sun, S Wang, G long, M Dong IJCAI 2018, 2018 | 73 | 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 | 72* | 2019 |
| 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 | 68 | 2021 |
| 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 | 67 | 2019 |
| 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 | 47 | 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 | 45 | 2017 |
| 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 | 38 | 2019 |
| 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 | 36 | 2019 |
| 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 | 32 | 2021 |
| Quaternion Collaborative Filtering for Recommendation S Zhang, L Yao, LV Tran, A Zhang, Y Tay IJCAI 2019, 2019 | 29 | 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 | 27 | 2018 |
| 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 | 26* | 2021 |
| 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 | 24* | 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 | 24* | 2020 |
