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 | 120 | 2022 |
Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map W Shao, A Prabowo, S Zhao, P Koniusz, FD Salim Neurocomputing 472, 280-293, 2022 | 40 | 2022 |
Flight delay prediction using airport situational awareness map W Shao, A Prabowo, S Zhao, S Tan, P Koniusz, J Chan, X Hei, B Feest, ... Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 35 | 2019 |
FADACS: A few-shot adversarial domain adaptation architecture for context-aware parking availability sensing W Shao, S Zhao, Z Zhang, S Wang, MS Rahaman, A Song, FD Salim 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 25 | 2021 |
Incorporating lstm auto-encoders in optimizations to solve parking officer patrolling problem W Shao, S Tan, S Zhao, KK Qin, X Hei, J Chan, FD Salim ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (3), 1-21, 2020 | 13 | 2020 |
The intelligent decision of flights adjusting rule-based flight scheduling optimisation S Zhao, W Shao, H Zhu ACM WSDM 35, 2019 | 4 | 2019 |
Measuring disentangled generative spatio-temporal representation S Zhao, W Shao, J Chan, FD Salim Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 3 | 2022 |
Spatio-temporal disentangled representation learning for mobility prediction S Zhao, W Shao, J Chan, FD Salim | 1 | 2022 |
Disentangled representation learning for spatio-temporal data Z Sichen RMIT University, 0 | | |