| 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 | 118 | 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 |
| Coltrane: Convolutional trajectory network for deep map inference A Prabowo, P Koniusz, W Shao, FD Salim Proceedings of the 6th ACM international conference on systems for energy …, 2019 | 17 | 2019 |
| Because every sensor is unique, so is every pair: Handling dynamicity in traffic forecasting A Prabowo, W Shao, H Xue, P Koniusz, FD Salim Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and …, 2023 | 11 | 2023 |
| Traffic forecasting on new roads using spatial contrastive pre-training (SCPT) A Prabowo, H Xue, W Shao, P Koniusz, FD Salim Data Mining and Knowledge Discovery 38 (3), 913-937, 2024 | 10* | 2024 |
| Continually learning out-of-distribution spatiotemporal data for robust energy forecasting A Prabowo, K Chen, H Xue, S Sethuvenkatraman, FD Salim arXiv preprint arXiv:2306.06385, 2023 | 6 | 2023 |
| Message Passing Neural Networks for Traffic Forecasting A Prabowo, H Xue, W Shao, P Koniusz, FD Salim arXiv preprint arXiv:2305.05740, 2023 | 4 | 2023 |
| Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning A Prabowo, K Chen, H Xue, S Sethuvenkatraman, FD Salim Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 3* | 2023 |
| A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings X Lin, A Prabowo, I Razzak, H Xue, M Amos, S Behrens, S White, ... arXiv preprint arXiv:2405.14267, 2024 | 2 | 2024 |
| Spatiotemporal deep learning A Prabowo PhD thesis, RMIT University, 2022 | 2 | 2022 |
| XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges D Yin, H Xue, A Prabowo, S Ao, F Salim arXiv preprint arXiv:2406.12693, 2024 | 1 | 2024 |
| BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics A Prabowo, X Lin, I Razzak, H Xue, EW Yap, M Amos, FD Salim arXiv preprint arXiv:2406.08990, 2024 | 1 | 2024 |
| Exploring Capabilities of Time Series Foundation Models in Building Analytics X Lin, A Prabowo, I Razzak, H Xue, M Amos, S Behrens, FD Salim arXiv preprint arXiv:2411.08888, 2024 | | 2024 |
| Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned D Yin, J Deng, S Ao, Z Li, H Xue, A Prabowo, R Jiang, X Song, F Salim arXiv preprint arXiv:2406.12709, 2024 | | 2024 |
| Revisiting Traffic Forecasting from a PINN Perspective A Prabowo, FD Salim | | 2023 |
| Correction to: Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting A Prabowo, K Chen, H Xue, S Sethuvenkatraman, FD Salim Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
Flora SalimProfessor, Cisco Chair of AI & Digital Transport, Computer Science and Engineering, UNSWEmail verificata su unsw.edu.au