| 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 | 343 | 2018 |
| 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 | 56 | 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 | 55 | 2021 |
| 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 | 52 | 2017 |
| 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 | 36 | 2020 |
| 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 | 32 | 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 | 30 | 2019 |
| A location-velocity-temporal attention LSTM model for pedestrian trajectory prediction H Xue, DQ Huynh, M Reynolds IEEE Access 8, 44576-44589, 2020 | 23 | 2020 |
| 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 | 20 | 2021 |
| Atrous convolutional feature network for weakly supervised semantic segmentation L Xu, H Xue, M Bennamoun, F Boussaid, F Sohel Neurocomputing 421, 115-126, 2021 | 18 | 2021 |
| 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 | 17 | 2021 |
| A fast visual map building method using video stream for visual-based indoor localization H Xue, L Ma, X Tan 2016 International Wireless Communications and Mobile Computing Conference …, 2016 | 16 | 2016 |
| 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 | 11 | 2022 |
| 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 | 9 | 2022 |
| TERMCast: Temporal relation modeling for effective urban flow forecasting H Xue, FD Salim Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia …, 2021 | 9 | 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 | 8 | 2022 |
| Scene gated social graph: Pedestrian trajectory prediction based on dynamic social graphs and scene constraints H Xue, DQ Huynh, M Reynolds arXiv preprint arXiv:2010.05507, 2020 | 8 | 2020 |
| Pedestrian trajectory prediction using a social pyramid H Xue, DQ Huynh, M Reynolds PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 8 | 2019 |
| A fast C-GIST based image retrieval method for vision-based Indoor localization L Ma, H Xue, T Jia, X Tan 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5, 2017 | 5 | 2017 |
| 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 | 3 | 2022 |
