Arian Prabowo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Situational Awareness

Spatiotemporal Data

Convolutional Network

Top Venues

BuildSys@SenSys

Publications

Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora Salim
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR (2024)
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen White, Flora D. Salim
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. CoRR (2024)
Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics. CoRR (2024)
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). Data Min. Knowl. Discov. 38 (3) (2024)
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora Salim
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. CoRR (2024)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting. CoRR (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. BuildSys@SenSys (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. ECML/PKDD (7) (2023)
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
Message Passing Neural Networks for Traffic Forecasting. CoRR (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. IoTDI (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. CoRR (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. CoRR (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training. CoRR (2023)
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
Generative Adversarial Networks for Spatio-temporal Data: A Survey. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim
Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map. Neurocomputing 472 (2022)
Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map. CoRR (2021)
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
Generative Adversarial Networks for Spatio-temporal Data: A Survey. CoRR (2020)
Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. BuildSys@SenSys (2019)
Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. CoRR (2019)
Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
Flight Delay Prediction using Airport Situational Awareness Map. CoRR (2019)
Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
Flight Delay Prediction using Airport Situational Awareness Map. SIGSPATIAL/GIS (2019)