| Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction Y Lin, H Wan, S Guo, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4241-4248, 2021 | 67 | 2021 |
| Pre-training time-aware location embeddings from spatial-temporal trajectories H Wan, Y Lin, S Guo, Y Lin IEEE Transactions on Knowledge and Data Engineering 34 (11), 5510-5523, 2021 | 14 | 2021 |
| Adversarial self-attentive time-variant neural networks for multi-step time series forecasting C Gao, N Zhang, Y Li, Y Lin, H Wan Expert Systems with Applications 231, 120722, 2023 | 4 | 2023 |
| Contrastive pre-training of spatial-temporal trajectory embeddings Y Lin, H Wan, S Guo, Y Lin arXiv preprint arXiv:2207.14539, 2022 | 4 | 2022 |
| Origin-destination travel time oracle for map-based services Y Lin, H Wan, J Hu, S Guo, B Yang, Y Lin, CS Jensen Proceedings of the ACM on Management of Data 1 (3), 1-27, 2023 | 3 | 2023 |
| Witran: Water-wave information transmission and recurrent acceleration network for long-range time series forecasting Y Jia, Y Lin, X Hao, Y Lin, S Guo, H Wan Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding Y Lin, H Wan, S Guo, J Hu, CS Jensen, Y Lin IEEE Transactions on Knowledge and Data Engineering, 2023 | 2 | 2023 |
| Contrastive pre-training with adversarial perturbations for check-in sequence representation learning L Gong, Y Lin, S Guo, Y Lin, T Wang, E Zheng, Z Zhou, H Wan Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4276-4283, 2023 | 1 | 2023 |
| OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models H Wen, Z Wei, Y Lin, J Wang, Y Liang, H Wan arXiv preprint arXiv:2403.09733, 2024 | | 2024 |
| GenSTL: General Sparse Trajectory Learning via Auto-regressive Generation of Feature Domains Y Lin, J Hu, S Guo, B Yang, CS Jensen, Y Lin, H Wan arXiv preprint arXiv:2402.07232, 2024 | | 2024 |
| Inductive and adaptive graph convolution networks equipped with constraint task for spatial–temporal traffic data kriging T Wei, Y Lin, S Guo, Y Lin, Y Zhao, X Jin, Z Wu, H Wan Knowledge-Based Systems 284, 111325, 2024 | | 2024 |
| Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting G Changxia, Z Ning, L Youru, L Yan, W Huaiyu Applied Intelligence 53 (23), 28974-28993, 2023 | | 2023 |
| Prediction of taxi demands between urban regions by fusing origin-destination spatial-temporal correlation Y WEI, Y LIN, S GUO, Y LIN, H WAN Journal of Computer Applications 43 (7), 2100, 2023 | | 2023 |
Huaiyu Wan (万怀宇)Professor, Beijing Jiaotong UniversityVerified email at bjtu.edu.cn
