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Arian Prabowo

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Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: A Continual Learning Approach Leveraging Human Mobility

Sep 12, 2023
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim

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Continually learning out-of-distribution spatiotemporal data for robust energy forecasting

Jun 10, 2023
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim

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Message Passing Neural Networks for Traffic Forecasting

May 09, 2023
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim

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Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training

May 09, 2023
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim

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Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting

Feb 28, 2023
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim

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Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map

May 19, 2021
Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim

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Generative Adversarial Networks for Spatio-temporal Data: A Survey

Aug 18, 2020
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim

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COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference

Sep 24, 2019
Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim

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