| Multi-view multi-behavior contrastive learning in recommendation Y Wu, R Xie, Y Zhu, X Ao, X Chen, X Zhang, F Zhuang, L Lin, Q He International conference on database systems for advanced applications, 166-182, 2022 | 64 | 2022 |
| Selective fairness in recommendation via prompts Y Wu, R Xie, Y Zhu, F Zhuang, A Xiang, X Zhang, L Lin, Q He Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 38 | 2022 |
| Personalized Prompt for Sequential Recommendation Y Wu, R Xie, Y Zhu, F Zhuang, X Zhang, L Lin, Q He IEEE Transactions on Knowledge and Data Engineering, 2024 | 28 | 2024 |
| Meta-path hierarchical heterogeneous graph convolution network for high potential scholar recognition Y Wu, Y Sun, F Zhuang, D Wang, X Zhang, Q He 2020 IEEE International Conference on Data Mining (ICDM), 1334-1339, 2020 | 3 | 2020 |
| Modeling dual period-varying preferences for takeaway recommendation Y Zhang, Y Wu, R Le, Y Zhu, F Zhuang, R Han, X Li, W Lin, Z An, Y Xu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
| Deep learning enabled topological design of exceptional points for multi-optical-parameter control P Fu, S Du, W Lan, L Hu, Y Wu, Z Li, X Huang, Y Guo, W Zhu, J Li, B Liu, ... Communications Physics 6 (1), 254, 2023 | 1 | 2023 |
| FairGap: Fairness-aware Recommendation via Generating Counterfactual Graph W Chen, Y Wu, Z Zhang, F Zhuang, Z He, R Xie, F Xia ACM Transactions on Information Systems 42 (4), 1-25, 2024 | | 2024 |
| Attacking Pre-trained Recommendation Y Wu, R Xie, Z Zhang, Y Zhu, F Zhuang, J Zhou, Y Xu, Q He Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | | 2023 |
