| GRLSTM: trajectory similarity computation with graph-based residual LSTM S Zhou, J Li, H Wang, S Shang, P Han Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4972-4980, 2023 | 14 | 2023 |
| Heterogeneous region embedding with prompt learning S Zhou, D He, L Chen, S Shang, P Han Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4981-4989, 2023 | 14 | 2023 |
| Towards robust trajectory similarity computation: Representation-based spatio-temporal similarity quantification Z Chen, K Li, S Zhou, L Chen, S Shang World Wide Web 26 (4), 1271-1294, 2023 | 12 | 2023 |
| Spatial-temporal fusion graph framework for trajectory similarity computation S Zhou, P Han, D Yao, L Chen, X Zhang World Wide Web 26 (4), 1501-1523, 2023 | 10 | 2023 |
| Few-shot relation extraction towards special interests S Fan, B Zhang, S Zhou, M Wang, K Li Big Data Research 26, 100273, 2021 | 6 | 2021 |
| Personalized re-ranking for recommendation with mask pretraining P Han, S Zhou, J Yu, Z Xu, L Chen, S Shang Data Science and Engineering 8 (4), 357-367, 2023 | 5 | 2023 |
| Multiple behaviors recommendation with graph learning S Zhou, J Zhang, L Chen, S Shang 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP …, 2022 | 5 | 2022 |
| Cross-task multimodal reinforcement for long tail next poi recommendation J Du, S Zhou, J Yu, P Han, S Shang IEEE Transactions on Multimedia, 2023 | 3 | 2023 |
| Feature Enhanced Spatial–Temporal Trajectory Similarity Computation S Zhou, C Huang, Y Wen, L Chen Data Science and Engineering, 1-11, 2024 | | 2024 |
