SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation-Reference-Cited by-同舟云学术

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SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation

Published:2025-05-05 Issue: Volume: Page:776-781
ISSN:
Container-title:2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
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Author:

Zhang Qia¹,Wang Renfang²,Qiu Hong²,Liu Xiufeng³,Cheng Xu⁴

Affiliation:

1. College of Information Technology, Shanghai Ocean University,Shanghai,China

2. College of Big Data and Software Engineering, Zhejiang Wanli University,Ningbo,China

3. Management and Economics Technical University of Denmark,Department of Technology,Kgs. Lyngby,Denmark

4. School of Computer Science and Engineering, Tianjin University of Technology,Tianjin,China

Funder

National Natural Science Foundation of China

Ningbo Municipal Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/11033175/11033221/11033512.pdf?arnumber=11033512

Reference16 articles.

1. Temporal regularized matrix factorization for high-dimensional time series prediction;Yu;Advances in neural information processing systems,2016

2. SAITS: Self-attention-based imputation for time series

3. ParInfoGPT: An LLM-based two-stage framework for reliability assessment of rotating machine under partial information

4. A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

5. FRAME: Feature Rectification for Class Imbalance Learning

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