| 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 | 58 | 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) 16 (6), 1-21, 2022 | 53 | 2022 |
| 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 | 43 | 2022 |
| 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 | 12 | 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 | 10 | 2023 |
| 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 | 10 | 2021 |
| Disentangled contrastive learning for cross-domain recommendation R Zhang, T Zang, Y Zhu, C Wang, K Wang, J Yu International Conference on Database Systems for Advanced Applications, 163-178, 2023 | 9 | 2023 |
| 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 | 5 | 2023 |
| Adaptive Graph Representation Learning for Next POI Recommendation Z Wang, Y Zhu, C Wang, W Ma, B Li, J Yu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 4 | 2023 |
| A Preference Learning Decoupling Framework for User Cold-Start Recommendation C Wang, Y Zhu, A Sun, Z Wang, K Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 4 | 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 | 4 | 2022 |
| Contrastive Multi-View Interest Learning for Cross-Domain Sequential Recommendation T Zang, Y Zhu, R Zhang, C Wang, K Wang, J Yu ACM Transactions on Information Systems 42 (3), 1-30, 2023 | 3 | 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 | 3 | 2022 |
| Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation K Wang, Y Zhu, T Zang, C Wang, K Liu, P Ma ACM Transactions on Information Systems 42 (2), 1-29, 2023 | 2 | 2023 |
| Task-difficulty-aware meta-learning with adaptive update strategies for user cold-start recommendation X Zhao, Y Zhu, C Wang, M Jing, J Yu, F Tang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| 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 | 1 | 2023 |
| Enhanced Hierarchical Contrastive Learning for Recommendation K Wang, Y Zhu, T Zang, C Wang, M Jing Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9107-9115, 2024 | | 2024 |
| Multi-agent reinforcement learning for vehicular task offloading with multi-step trajectory prediction X Zhang, Y Zhu, C Wang, J Cao, Y Chen, J Wang CCF Transactions on Pervasive Computing and Interaction, 1-14, 2024 | | 2024 |
Yanmin ZhuDepartment of Computer Science and Engineering, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
