| SS-LSTM: A hierarchical LSTM model for pedestrian trajectory prediction H Xue, DQ Huynh, M Reynolds 2018 IEEE winter conference on applications of computer vision (WACV), 1186-1194, 2018 | 500 | 2018 |
| PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting H Xue, FD Salim | 169 | 2022 |
| Time series change point detection with self-supervised contrastive predictive coding S Deldari, DV Smith, H Xue, FD Salim Proceedings of the Web Conference 2021, 3124-3135, 2021 | 150 | 2021 |
| Generative adversarial networks for spatio-temporal data: A survey N Gao, H Xue, W Shao, S Zhao, KK Qin, A Prabowo, MS Rahaman, ... ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-25, 2022 | 126 | 2022 |
| Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review B Dong, Y Liu, H Fontenot, M Ouf, M Osman, A Chong, S Qin, F Salim, ... Applied Energy 293, 116856, 2021 | 79 | 2021 |
| Cocoa: Cross modality contrastive learning for sensor data S Deldari, H Xue, A Saeed, DV Smith, FD Salim Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 76 | 2022 |
| PoPPL: Pedestrian trajectory prediction by LSTM with automatic route class clustering H Xue, DQ Huynh, M Reynolds IEEE transactions on neural networks and learning systems 32 (1), 77-90, 2020 | 75 | 2020 |
| Bi-prediction: Pedestrian trajectory prediction based on bidirectional LSTM classification H Xue, DQ Huynh, M Reynolds 2017 International conference on digital image computing: techniques and …, 2017 | 73 | 2017 |
| MobTCast: Leveraging auxiliary trajectory forecasting for human mobility prediction H Xue, F Salim, Y Ren, N Oliver Advances in Neural Information Processing Systems 34, 30380-30391, 2021 | 69 | 2021 |
| Leveraging language foundation models for human mobility forecasting H Xue, BP Voutharoja, FD Salim Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 65 | 2022 |
| Beyond just vision: A review on self-supervised representation learning on multimodal and temporal data S Deldari, H Xue, A Saeed, J He, DV Smith, FD Salim arXiv preprint arXiv:2206.02353, 2022 | 49 | 2022 |
| Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification H Xue, FD Salim Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 44 | 2021 |
| Location-velocity attention for pedestrian trajectory prediction H Xue, D Huynh, M Reynolds 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2038-2047, 2019 | 44 | 2019 |
| Event-aware multimodal mobility nowcasting Z Wang, R Jiang, H Xue, FD Salim, X Song, R Shibasaki Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4228-4236, 2022 | 40 | 2022 |
| A location-velocity-temporal attention LSTM model for pedestrian trajectory prediction H Xue, DQ Huynh, M Reynolds IEEE Access 8, 44576-44589, 2020 | 35 | 2020 |
| Multimodal trajectory prediction: A survey R Huang, H Xue, M Pagnucco, F Salim, Y Song arXiv preprint arXiv:2302.10463, 2023 | 34 | 2023 |
| Atrous convolutional feature network for weakly supervised semantic segmentation L Xu, H Xue, M Bennamoun, F Boussaid, F Sohel Neurocomputing 421, 115-126, 2021 | 32 | 2021 |
| Translating human mobility forecasting through natural language generation H Xue, FD Salim, Y Ren, CLA Clarke Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 28 | 2022 |
| TERMCast: Temporal relation modeling for effective urban flow forecasting H Xue, FD Salim Pacific-Asia Conference on Knowledge Discovery and Data Mining, 741-753, 2021 | 22 | 2021 |
| Large language models for next point-of-interest recommendation P Li, M de Rijke, H Xue, S Ao, Y Song, FD Salim Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 20 | 2024 |