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Shunyang Zhang

2 accepted papers

2024

SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation

IJCAI 2024poster

Spatial time series imputation is of great importance to various real-world applications. As the state-of-the-art generative models, diffusion models (e.g. CSDI) have outperformed statistical and autoregressive based models in time series imputation. However, diffusion models may introduce unstable…

Cited by 1SourcePDFScholar
2024

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation

IJCAI 2024poster

Multivariant time series (MTS) data are usually incomplete in real scenarios, and imputing the incomplete MTS is practically important to facilitate various time series mining tasks. Recently, diffusion model-based MTS imputation methods have achieved promising results by utilizing CNN or attention…