Arian Prabowo

33 papers A* 1Journal 23Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings.
IEEE Pervasive Comput.
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2025 — conf
Brick-by-Brick: Cyber-Physical Building Data Classification Challenge.
WWW (Companion Volume)
Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Matthew Amos, Stephen D. White, Flora D. Salim
2025 J jnl
Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction.
CoRR
Hanlin Dong, Arian Prabowo, Hao Xue, Flora D. Salim
2025 J jnl
Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities.
CoRR
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2025 J jnl
Embedding spatial context in urban traffic forecasting with contrastive pre-training.
CoRR
Matthew Low, Arian Prabowo, Hao Xue, Flora Salim
2025 J jnl
There is No "apple" in Timeseries: Rethinking TSFM through the Lens of Invariance.
CoRR
Arian Prabowo, Flora D. Salim
2025 — conf
XXLTraffic: Expanding and Extremely Long Traffic Forecasting beyond Test Adaptation.
SIGSPATIAL/GIS
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora Salim
2024 J jnl
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings.
CoRR
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen D. White, Flora D. Salim
2024 J jnl
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics.
CoRR
Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
2024 — conf
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics.
ICDM (Workshops)
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024 J jnl
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics.
CoRR
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024 A* conf
Building Timeseries Dataset: Empowering Large-Scale Building Analytics.
NeurIPS
Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
2024 — conf
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
SIGSPATIAL/GIS
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024 J jnl
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
CoRR
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024 J jnl
Exploring Capabilities of Time Series Foundation Models in Building Analytics.
CoRR
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024 J jnl
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT).
Data Min. Knowl. Discov.
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
2024 J jnl
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges.
CoRR
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim
2023 — conf
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
IoTDI
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2023 J jnl
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
CoRR
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2023 — conf
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting.
ECML/PKDD (7)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
2023 J jnl
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting.
CoRR
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
2023 J jnl
Message Passing Neural Networks for Traffic Forecasting.
CoRR
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
2023 — conf
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.
BuildSys
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
2023 J jnl
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.
CoRR
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
2023 J jnl
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training.
CoRR
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2022 J jnl
Generative Adversarial Networks for Spatio-temporal Data: A Survey.
ACM Trans. Intell. Syst. Technol.
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
2022 J jnl
Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map.
Neurocomputing
Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim
2021 J jnl
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map.
CoRR
Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim
2020 J jnl
Generative Adversarial Networks for Spatio-temporal Data: A Survey.
CoRR
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
2019 — conf
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference.
BuildSys
Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim
2019 J jnl
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference.
CoRR
Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim
2019 — conf
Flight Delay Prediction using Airport Situational Awareness Map.
SIGSPATIAL/GIS
Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
2019 J jnl
Flight Delay Prediction using Airport Situational Awareness Map.
CoRR
Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim