| Artificial intelligence for geoscience: Progress, challenges and perspectives T Zhao, S Wang, C Ouyang, M Chen, C Liu, J Zhang, L Yu, F Wang, Y Xie, ... The Innovation, 2024 | 120 | 2024 |
| Tulsn: siamese network for trajectory-user linking Y Yu, H Tang, F Wang, L Wu, T Qian, T Sun, Y Xu 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 21 | 2020 |
| Ginar: An end-to-end multivariate time series forecasting model suitable for variable missing C Yu, F Wang, Z Shao, T Qian, Z Zhang, W Wei, Y Xu Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and …, 2024 | 16 | 2024 |
| Modeling the COVID-19 outbreak in China through multi-source information fusion L Wu, L Wang, N Li, T Sun, T Qian, Y Jiang, F Wang, Y Xu The Innovation 1 (2), 2020 | 15 | 2020 |
| Trajectory-user link with attention recurrent networks T Sun, Y Xu, F Wang, L Wu, T Qian, Z Shao 2020 25th International Conference on Pattern Recognition (ICPR), 4589-4596, 2021 | 12 | 2021 |
| CABIN: a novel cooperative attention based location prediction network using internal-external trajectory dependencies T Qian, F Wang, Y Xu, Y Jiang, T Sun, Y Yu Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 5 | 2020 |
| Adaptraj: A multi-source domain generalization framework for multi-agent trajectory prediction T Qian, Y Chen, G Cong, Y Xu, F Wang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 5048-5060, 2024 | 4 | 2024 |
| Trajectory Prediction from Hierarchical Perspective T Qian, Y Xu, Z Zhang, F Wang Proceedings of the 30th ACM International Conference on Multimedia, 6822-6830, 2022 | 2 | 2022 |
| Towards compressing efficient generative adversarial networks for image translation via pruning and distilling L Gong, C Li, H Hong, H Zhu, T Qian, Y Xu Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 2 | 2021 |
| Spatial-temporal large models: A super hub linking multiple scientific areas with artificial intelligence Z Shao, T Qian, T Sun, F Wang, Y Xu The Innovation, 2024 | | 2024 |
| Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models T Qian, J Li, Y Chen, G Cong, T Sun, F Wang, Y Xu arXiv preprint arXiv:2410.13196, 2024 | | 2024 |
