🎉 NEWS 0: A 5-page short version of PyPOTS paper is accepted by KDD workshop MiLeTS'23;
🎊 NEWS 1: PyPOTS has been accepted as a PyTorch Ecosystem project;
😎 NEWS 2: Our survey on time-series imputation has been released on arXiv;
Publications from PyPOTS Team
A full list of the publications from PyPOTS team.
[Preprint]
Jun Wang*, Wenjie Du*, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang,
Qingsong Wen. (* co-first authors)
Deep Learning for Multivariate Time Series Imputation: A Survey,
arXiv preprint, abs/2402.04059, 2024. [DOI Link][PDF][Code]
[Paper]
Wenjie Du.
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series,
arXiv preprint, abs/2305.18811, 2023.(A short version appeared in the 9th SIGKDD International Workshop on Mining and Learning from Time Series (MiLeTS'23)) [DOI Link][PDF][Code]
[Paper]
Wenjie Du, David Cote, Yan Liu.
SAITS: Self-Attention-based Imputation for Time Series,
Expert Systems with Applications, 219:119619, 2023. [DOI Link][PDF][Code]2022 IF-8.665/JCR-Q1/CAS-Q1
[Paper]
Wenjie Du, David Cote, Chris Barber, Yan Liu.
Forecasting Loss of Signal in Optical Networks with Machine Learning,
IEEE/OSA Journal of Optical Communications and Networking, vol. 13, no. 10, pp. E109-E121 (2021). [DOI Link][PDF][Code]2022 IF-4.508/JCR-Q1/CAS-Q1
