Flight Delay Prediction using Airport Situational Awareness Map. - Wei Shao 006; Arian Prabowo; Sichen Zhao; Siyu Tan; Piotr Koniusz; Jeffrey Chan; Xinhong Hei 001; Bradley Feest; Flora D. Salim (SIGSPATIAL/GIS, 2019)

COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. - Arian Prabowo; Piotr Koniusz; Wei Shao 006; Flora D. Salim (BuildSys, 2019)

Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map. - Wei Shao 006; Arian Prabowo; Sichen Zhao; Piotr Koniusz; Flora D. Salim (Neurocomputing, 2022)

Generative Adversarial Networks for Spatio-temporal Data: A Survey. - Nan Gao; Hao Xue 001; Wei Shao 006; Sichen Zhao; Kyle Kai Qin; Arian Prabowo; Mohammad Saiedur Rahaman; Flora D. Salim (ACM Trans. Intell. Syst. Technol., 2022)

Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. - Arian Prabowo; Wei Shao 006; Hao Xue 001; Piotr Koniusz; Flora D. Salim (IoTDI, 2023)

Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. - Arian Prabowo; Kaixuan Chen 001; Hao Xue 001; Subbu Sethuvenkatraman; Flora D. Salim (ECML/PKDD (7), 2023)

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. - Arian Prabowo; Kaixuan Chen 001; Hao Xue 001; Subbu Sethuvenkatraman; Flora D. Salim (BuildSys, 2023)

Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training. - Arian Prabowo; Wei Shao 006; Hao Xue 001; Piotr Koniusz; Flora D. Salim (CoRR, 2023)

Message Passing Neural Networks for Traffic Forecasting. - Arian Prabowo; Hao Xue 001; Wei Shao 006; Piotr Koniusz; Flora D. Salim (CoRR, 2023)

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. - Du Yin; Jinliang Deng; Shuang Ao; Zechen Li; Hao Xue 001; Arian Prabowo; Renhe Jiang; Xuan Song 001; Flora D. Salim (SIGSPATIAL/GIS, 2024)

BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. - Xiachong Lin; Arian Prabowo; Imran Razzak; Hao Xue 001; Matthew Amos; Sam Behrens; Flora D. Salim (ICDM (Workshops), 2024)

Building Timeseries Dataset: Empowering Large-Scale Building Analytics. - Arian Prabowo; Xiachong Lin; Imran Razzak; Hao Xue 001; Emily W. Yap; Matthew Amos; Flora D. Salim (NeurIPS, 2024)

A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. - Xiachong Lin; Arian Prabowo; Imran Razzak; Hao Xue 001; Matthew Amos; Sam Behrens; Stephen D. White; Flora D. Salim (CoRR, 2024)

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics. - Arian Prabowo; Xiachong Lin; Imran Razzak; Hao Xue 001; Emily W. Yap; Matthew Amos; Flora D. Salim (CoRR, 2024)

XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. - Du Yin; Hao Xue 001; Arian Prabowo; Shuang Ao; Flora D. Salim (CoRR, 2024)

Exploring Capabilities of Time Series Foundation Models in Building Analytics. - Xiachong Lin; Arian Prabowo; Imran Razzak; Hao Xue 001; Matthew Amos; Sam Behrens; Flora D. Salim (CoRR, 2024)

Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). - Arian Prabowo; Hao Xue 001; Wei Shao 006; Piotr Koniusz; Flora D. Salim (Data Min. Knowl. Discov., 2024)

Brick-by-Brick: Cyber-Physical Building Data Classification Challenge. - Arian Prabowo; Xiachong Lin; Imran Razzak; Hao Xue 001; Matthew Amos; Stephen D. White; Flora D. Salim (WWW (Companion Volume), 2025)

A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings. - Xiachong Lin; Arian Prabowo; Imran Razzak; Hao Xue 001; Matthew Amos; Sam Behrens; Flora D. Salim (IEEE Pervasive Comput., 2025)

Embedding spatial context in urban traffic forecasting with contrastive pre-training. - Matthew Low; Arian Prabowo; Hao Xue 001; Flora Salim (CoRR, 2025)

Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction. - Hanlin Dong; Arian Prabowo; Hao Xue 001; Flora D. Salim (CoRR, 2025)