| FocalMix: Semi-Supervised Learning for 3D Medical Image Detection D Wang*, Y Zhang*, K Zhang, L Wang CVPR'20, 2020 | 135 | 2020 |
| Cosine: Community-preserving social network embedding from information diffusion cascades Y Zhang, T Lyu, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 74 | 2018 |
| Enhancing the network embedding quality with structural similarity T Lyu, Y Zhang, Y Zhang Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 62 | 2017 |
| Distilling structured knowledge into embeddings for explainable and accurate recommendation Y Zhang, X Xu, H Zhou, Y Zhang Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 58 | 2020 |
| Neural IR Meets Graph Embedding: A Ranking Model for Product Search Y Zhang, D Wang, Y Zhang The World Wide Web Conference, 2390-2400, 2019 | 57 | 2019 |
| Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation J Guo, Y Yang, X Song, Y Zhang, Y Wang, J Bai, Y Zhang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 44 | 2022 |
| CIRS: Bursting filter bubbles by counterfactual interactive recommender system C Gao, S Wang, S Li, J Chen, X He, W Lei, B Li, Y Zhang, P Jiang ACM Transactions on Information Systems 42 (1), 1-27, 2023 | 43 | 2023 |
| KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos C Gao, S Li, Y Zhang, J Chen, B Li, W Lei, P Jiang, X He Proceedings of the 31st ACM International Conference on Information …, 2022 | 41 | 2022 |
| Real-time Short Video Recommendation on Mobile Devices X Gong, Q Feng, Y Zhang, J Qin, W Ding, B Li, P Jiang, K Gai Proceedings of the 31st ACM International Conference on Information …, 2022 | 29 | 2022 |
| Hierarchical community-level information diffusion modeling in social networks Y Zhang, T Lyu, Y Zhang Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 23 | 2017 |
| Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation C Gao, K Huang, J Chen, Y Zhang, B Li, P Jiang, S Wang, Z Zhang, X He arXiv preprint arXiv:2307.04571, 2023 | 22 | 2023 |
| r-GAT: Relational Graph Attention Network for Multi-Relational Graphs M Chen, Y Zhang, X Kou, Y Li, Y Zhang arXiv preprint arXiv:2109.05922, 2021 | 15 | 2021 |
| Graph-based Regularization on Embedding Layers for Recommendation Y Zhang, F Sun, X Yang, C Xu, W Ou, Y Zhang ACM Transactions on Information Systems (TOIS) 39 (1), 1-27, 2020 | 15 | 2020 |
| LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm M Ai, B Li, H Gong, Q Yu, S Xue, Y Zhang, Y Zhang, P Jiang Proceedings of the ACM Web Conference 2022, 2310-2319, 2022 | 12 | 2022 |
| Backprop-q: Generalized backpropagation for stochastic computation graphs X Xu, S Zu, Y Zhang, H Zhou, W Feng arXiv preprint arXiv:1807.09511, 2018 | 5 | 2018 |
| Divide and conquer: Towards better embedding-based retrieval for recommender systems from a multi-task perspective Y Zhang, X Dong, W Ding, B Li, P Jiang, K Gai Companion Proceedings of the ACM Web Conference 2023, 366-370, 2023 | 4 | 2023 |
| Modeling Attention Flow on Graphs X Xu, S Zu, C Gao, Y Zhang, W Feng arXiv preprint arXiv:1811.00497, 2018 | 4 | 2018 |
| Measuring Item Global Residual Value for Fair Recommendation J Wang, W Ma, C Jiang, M Zhang, Y Zhang, B Li, P Jiang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 1 | 2023 |
| Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation T Zhu, Y Shi, Y Zhang, Y Wu, F Mo, JY Nie Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
Yan ZhangPeking UniversityDirección de correo verificada de pku.edu.cn
