| Modeling hierarchical category transition for next POI recommendation with uncertain check-ins L Zhang, Z Sun, J Zhang, H Kloeden, F Klanner Information Sciences 515, 169-190, 2020 | 48 | 2020 |
| An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins L Zhang, Z Sun, J Zhang, Y Lei, C Li, Z Wu, H Kloeden, F Klanner IJCAI, 2020 | 48 | 2020 |
| Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences L Zhang, Z Sun, Z Wu, J Zhang, YS Ong, X Qu IJCAI, 2022 | 17 | 2022 |
| Conversation-based adaptive relational translation method for next poi recommendation with uncertain check-ins L Zhang, Z Sun, J Zhang, Y Wu, Y Xia IEEE Transactions on Neural Networks and Learning Systems, 2022 | 15 | 2022 |
| Point-of-interest recommendation for users-businesses with uncertain check-ins Z Sun, C Li, Y Lei, L Zhang, J Zhang, S Liang IEEE Transactions on Knowledge and Data Engineering 34 (12), 5925-5938, 2021 | 13 | 2021 |
| Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities J Wang, L Zhang, Z Sun, YS Ong Pacific-Asia Conference on Knowledge Discovery and Data Mining, 322-334, 2023 | | 2023 |
| A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals Z Sun, Y Lei, L Zhang, C Li, YS Ong, J Zhang ACM Transactions on Information Systems, 2023 | | 2023 |
| Context-aware next point-of-interest recommendation with uncertain check-ins L Zhang Nanyang Technological University, 2022 | | 2022 |
