| Adaptive trajectory prediction via transferable gnn Y Xu, L Wang, Y Wang, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 61 | 2022 |
| Tra2tra: Trajectory-to-trajectory prediction with a global social spatial-temporal attentive neural network Y Xu, D Ren, M Li, Y Chen, M Fan, H Xia IEEE Robotics and Automation Letters 6 (2), 1574-1581, 2021 | 29 | 2021 |
| CF-LSTM: Cascaded feature-based long short-term networks for predicting pedestrian trajectory Y Xu, J Yang, S Du Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12541 …, 2020 | 27 | 2020 |
| Uncovering the missing pattern: Unified framework towards trajectory imputation and prediction Y Xu, A Bazarjani, H Chi, C Choi, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| A method for wafer defect detection using spatial feature points guided affine iterative closest point algorithm J Yang, Y Xu, HJ Rong, S Du, H Zhang IEEE Access 8, 79056-79068, 2020 | 13 | 2020 |
| Making reconstruction-based method great again for video anomaly detection Y Wang, C Qin, Y Bai, Y Xu, X Ma, Y Fu 2022 IEEE International Conference on Data Mining (ICDM), 1215-1220, 2022 | 12 | 2022 |
| Adapting stepsizes by momentumized gradients improves optimization and generalization Y Wang, Y Kang, C Qin, H Wang, Y Xu, Y Zhang, Y Fu | 12* | 2021 |
| Simultaneous past and current social interaction-aware trajectory prediction for multiple intelligent agents in dynamic scenes Y Zhu, D Ren, Y Xu, D Qian, M Fan, X Li, H Xia ACM Transactions on Intelligent Systems and Technology (TIST) 13 (1), 1-16, 2021 | 11 | 2021 |
| Sparse recursive least mean p-power extreme learning machine for regression J Yang, Y Xu, HJ Rong, S Du, B Chen IEEE Access 6, 16022-16034, 2018 | 8 | 2018 |
| Look more but care less in video recognition Y Zhang, Y Bai, H Wang, Y Xu, Y Fu Advances in Neural Information Processing Systems 35, 30813-30825, 2022 | 6 | 2022 |
| Self-supervision meets adversarial perturbation: A novel framework for anomaly detection Y Wang, C Qin, R Wei, Y Xu, Y Bai, Y Fu Proceedings of the 31st ACM International Conference on Information …, 2022 | 6 | 2022 |
| SLAP: Self-supervised Anomaly Detection with Adversarial Perturbation Y Wang, C Qin, R Wei, Y Xu, Y Bai, Y Fu arXiv preprint arXiv:2111.12896, 2021 | 6 | 2021 |
| MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning Y Xu, L Wang, Y Wang, C Qin, Y Zhang, Y Fu Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 5 | 2022 |
| Adamsformer for spatial action localization in the future H Chi, K Lee, N Agarwal, Y Xu, K Ramani, C Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Robust trajectory prediction of multiple interacting pedestrians via incremental active learning Y Xi, D Ren, M Li, Y Chen, M Fan, H Xia Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 3 | 2021 |
| Layout Sequence Prediction From Noisy Mobile Modality H Zhang, Y Xu, H Lu, T Shimizu, Y Fu Proceedings of the 31st ACM International Conference on Multimedia, 3965-3974, 2023 | 1 | 2023 |
| A Feature-Cascaded Correntropy LSTM for Tourists Prediction Y Chen, J Yang, K Zhang, Y Xu, Y Liu IEEE Access 9, 32810-32822, 2021 | 1 | 2021 |
| OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising H Zhang, Y Xu, H Lu, T Shimizu, Y Fu arXiv preprint arXiv:2404.02227, 2024 | | 2024 |
| Adapting to Length Shift: FlexiLength Network for Trajectory Prediction Y Xu, Y Fu arXiv preprint arXiv:2404.00742, 2024 | | 2024 |
| Latent Graph Inference with Limited Supervision J Lu, Y Xu, H Wang, Y Bai, Y Fu Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
