Jiewen Deng — accepted AI-conference papers

2024

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning

Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song

IJCAI 2024poster

Multi-modality spatio-temporal (MoST) data extends spatio-temporal (ST) data by incorporating multiple modalities, which is prevalent in monitoring systems, encompassing diverse traffic demands and air quality assessments. Despite significant strides in ST modeling in recent years, there remains a…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2023

Learning Gaussian Mixture Representations for Tensor Time Series Forecasting

Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song

IJCAI 2023poster

Tensor time series (TTS) data, a generalization of one-dimensional time series on a high-dimensional space, is ubiquitous in real-world scenarios, especially in monitoring systems involving multi-source spatio-temporal data (e.g., transportation demands and air pollutants). Compared to modeling time…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗