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- research-articleApril 2024
Deep Coupling Network for Multivariate Time Series Forecasting
ACM Transactions on Information Systems (TOIS), Volume 42, Issue 5Article No.: 127, Pages 1–28https://doi.org/10.1145/3653447Multivariate time series (MTS) forecasting is crucial in many real-world applications. To achieve accurate MTS forecasting, it is essential to simultaneously consider both intra- and inter-series relationships among time series data. However, previous ...
- research-articleMay 2024
Frequency-domain MLPs are more effective learners in time series forecasting
- Kun Yi,
- Qi Zhang,
- Wei Fan,
- Shoujin Wang,
- Pengyang Wang,
- Hui He,
- Defu Lian,
- Ning An,
- Longbing Cao,
- Zhendong Niu
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsDecember 2023, Article No.: 3349, Pages 76656–76679Time series forecasting has played the key role in different industrial, including finance, traffic, energy, and healthcare domains. While existing literatures have designed many sophisticated architectures based on RNNs, GNNs, or Transformers, another ...
- research-articleMay 2024
FourierGNN: rethinking multivariate time series forecasting from a pure graph perspective
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsDecember 2023, Article No.: 3050, Pages 69638–69660Multivariate time series (MTS) forecasting has shown great importance in numerous industries. Current state-of-the-art graph neural network (GNN)-based forecasting methods usually require both graph networks (e.g., GCN) and temporal networks (e.g., LSTM) ...
- research-articleOctober 2023
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 36, Issue 6June 2024, Pages 2504–2516https://doi.org/10.1109/TKDE.2023.3323956Multivariate time series (MTS) forecasting penetrates various aspects of our economy and society, whose roles become increasingly recognized. However, often MTS forecasting is unfair, not only degrading their practical benefits but even incurring ...
- ArticleOctober 2022
A dataset for exploring gaze behaviors in text summarization
MMSys '20: Proceedings of the 11th ACM Multimedia Systems ConferenceMay 2020, Pages 243–248https://doi.org/10.1145/3339825.3394928Automatic text summarization has been a hot research topic for years. Though most of the existing studies only use the content itself to generate the summaries, researchers believe that an individual's reading behaviors have much to do with the ...