1 code implementation • 3 May 2024 • Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li, Jia Li, Fugee Tsung
There are two main research lines, namely pre-training foundation models from scratch for time series and adapting large language foundation models for time series.
1 code implementation • 9 Aug 2021 • Jiexia Ye, Juanjuan Zhao, Furong Zheng, Chengzhong Xu
Due to the delayed effect in latest complete OD flow collection, complex spatiotemporal correlations of OD flows in high dimension, it is more challengeable than other traffic prediction tasks of time series.
1 code implementation • 4 Jul 2021 • Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
Our main novelties are three aspects: (1) We enrich the spatiotemporal information of model inputs by fusing multi-view features (time, location and traffic states) (2) We build multiple kinds of spatial correlations based on both prior knowledge and data-driven knowledge to improve model performance especially in insufficient or noisy data cases.
no code implementations • 24 May 2020 • Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
Recently, various novel deep learning techniques have been developed to process graph data, called graph neural networks (GNNs).
1 code implementation • 11 May 2020 • Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
However, it is well known that an individual stock price is correlated with prices of other stocks in complex ways.