| A survey on cross-domain recommendation: taxonomies, methods, and future directions T Zang, Y Zhu, H Liu, R Zhang, J Yu ACM Transactions on Information Systems 41 (2), 1-39, 2022 | 139 | 2022 |
| Modeling inter-station relationships with attentive temporal graph convolutional network for air quality prediction C Wang, Y Zhu, T Zang, H Liu, J Yu Proceedings of the 14th ACM international conference on web search and data …, 2021 | 78 | 2021 |
| Graph-enhanced Spatial-temporal Network for Next POI Recommendation Z Wang, Y Zhu, Q Zhang, H Liu, C Wang, T Liu ACM Transactions on Knowledge Discovery from Data (TKDD), 0 | 78* | |
| Learning graph-based disentangled representations for next POI recommendation Z Wang, Y Zhu, H Liu, C Wang Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 65 | 2022 |
| Jointly modeling heterogeneous student behaviors and interactions among multiple prediction tasks H Liu, Y Zhu, T Zang, Y Xu, J Yu, F Tang ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (1), 1-24, 2021 | 21 | 2021 |
| Deep meta-learning in recommendation systems: A survey C Wang, Y Zhu, H Liu, T Zang, J Yu, F Tang arXiv preprint arXiv:2206.04415, 2022 | 17 | 2022 |
| Enhancing user interest modeling with knowledge-enriched itemsets for sequential recommendation C Wang, Y Zhu, H Liu, W Ma, T Zang, J Yu Proceedings of the 30th ACM International Conference on Information …, 2021 | 16 | 2021 |
| MPAN: Multi-parallel attention network for session-based recommendation T Zang, Y Zhu, J Zhu, Y Xu, H Liu Neurocomputing 471, 230-241, 2022 | 14 | 2022 |
| Learning aspect-aware high-order representations from ratings and reviews for recommendation K Wang, Y Zhu, H Liu, T Zang, C Wang ACM Transactions on Knowledge Discovery from Data 17 (1), 1-22, 2023 | 13 | 2023 |
| Jointly modeling individual student behaviors and social influence for prediction tasks H Liu, Y Zhu, T Zang, J Yu, H Cai proceedings of the 29th ACM international conference on Information …, 2020 | 13 | 2020 |
| Learning shared representations for recommendation with dynamic heterogeneous graph convolutional networks M Jing, Y Zhu, Y Xu, H Liu, T Zang, C Wang, J Yu ACM Transactions on Knowledge Discovery from Data 17 (4), 1-23, 2023 | 10 | 2023 |
| Inter-and intra-domain relation-aware heterogeneous graph convolutional networks for cross-domain recommendation K Wang, Y Zhu, H Liu, T Zang, C Wang, K Liu International Conference on Database Systems for Advanced Applications, 53-68, 2022 | 7 | 2022 |
| Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation H Liu, J Ding, Y Zhu, F Tang, J Yu, R Jiang, Z Guo Knowledge-Based Systems 280, 111013, 2023 | 6 | 2023 |
| Incorporating heterogeneous user behaviors and social influences for predictive analysis H Liu, Y Zhu, C Wang, J Ding, J Yu, F Tang IEEE Transactions on Big Data 9 (2), 716-732, 2022 | 6 | 2022 |
| Learning from heterogeneous student behaviors for multiple prediction tasks H Liu, Y Zhu, Y Xu Database Systems for Advanced Applications: 25th International Conference …, 2020 | 6 | 2020 |
| Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation C Wang, Y Zhu, H Liu, T Zang, K Wang, J Yu ACM Transactions on Knowledge Discovery from Data 17 (9), 1-27, 2023 | 2 | 2023 |
| Efficient Feature Interactions Learning with Gated Attention Transformer C Long, Y Zhu, H Liu, J Yu Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | 2 | 2021 |
| Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions T Zang, Y Zhu, C Gong, H Liu, B Li Database Systems for Advanced Applications: 26th International Conference …, 2021 | 1 | 2021 |
| Incorporating Higher-order Structural Information for Graph Clustering Q Li, H Liu, R Jiang, T Wang International Conference on Database Systems for Advanced Applications, 507-517, 2024 | | 2024 |
Yanmin ZhuDepartment of Computer Science and Engineering, Shanghai Jiao Tong Universitysjtu.edu.cn의 이메일 확인됨