| 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 | 149 | 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 | 79 | 2021 |
| Contrastive self-supervised learning in recommender systems: A survey M Jing, Y Zhu, T Zang, K Wang ACM Transactions on Information Systems 42 (2), 1-39, 2023 | 50 | 2023 |
| Jointly modeling spatio–temporal dependencies and daily flow correlations for crowd flow prediction T Zang, Y Zhu, Y Xu, J Yu ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (4), 1-20, 2021 | 25 | 2021 |
| Multi-level attention networks for multi-step citywide passenger demands prediction X Zhou, Y Shen, L Huang, T Zang, Y Zhu IEEE Transactions on Knowledge and Data Engineering 33 (5), 2096-2108, 2019 | 23 | 2019 |
| 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 | 20 | 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 | 20 | 2021 |
| 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 | 17 | 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 | 15 | 2023 |
| 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 | 15 | 2023 |
| MPAN: Multi-parallel attention network for session-based recommendation T Zang, Y Zhu, J Zhu, Y Xu, H Liu Neurocomputing 471, 230-241, 2022 | 15 | 2022 |
| 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 |
| 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 | 12 | 2023 |
| Graph contrastive learning with adaptive augmentation for recommendation M Jing, Y Zhu, T Zang, J Yu, F Tang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 12 | 2022 |
| 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 |
| 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 | 9 | 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 | 8 | 2022 |
| 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 | 7 | 2024 |
| Modeling local and global flow aggregation for traffic flow forecasting Y Qu, Y Zhu, T Zang, Y Xu, J Yu Web Information Systems Engineering–WISE 2020: 21st International Conference …, 2020 | 3 | 2020 |
| Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients T Zang, Y Zhu, X Huang, X Yang, Q Chen, J Yu, F Tang Artificial Intelligence in Medicine 144, 102660, 2023 | 2 | 2023 |
Yanmin ZhuDepartment of Computer Science and Engineering, Shanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn