Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training
(SCPT)

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Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT)

9 May 2023

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Papers citing "Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT)"

7 / 7 papers shown

Title
Embedding spatial context in urban traffic forecasting with contrastive pre-training Matthew Low Arian Prabowo Hao Xue Flora D. Salim AI4TS 132 0 0 19 Mar 2025
Inductive Graph Few-shot Class Incremental Learning Yongqian Li Peyman Moghadam Can Peng Nan Ye Piotr Koniusz 147 2 0 11 Nov 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting L. Butera G. Felice Andrea Cini Cesare Alippi AI4TS 101 0 0 18 Oct 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned Du Yin Jinliang Deng Shuang Ao Zechen Li Hao Xue Arian Prabowo Renhe Jiang Xuan Song Flora Salim AI4TS 107 0 0 18 Jun 2024
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation Du Yin Hao Xue Arian Prabowo Shuang Ao Flora Salim AI4TS 87 0 0 18 Jun 2024
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings Xiachong Lin Arian Prabowo Imran Razzak Hao Xue Matthew Amos Sam Behrens Stephen White Flora D. Salim 59 1 0 23 May 2024
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning Arian Prabowo Kaixuan Chen Hao Xue Subbu Sethuvenkatraman Flora D. Salim 112 2 0 08 Sep 2023

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