559 citations · 607 across the 5 of their papers we have counts for
5 papers
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng +3
In practical scenarios, time series forecasting necessitates not only accuracy but also efficiency. Consequently, the exploration of model architectures remains a perennially trend…
Deep Learning for Multivariate Time Series Imputation: A Survey
Jun Wang, Wenjie Du, Yiyuan Yang +6
Missing values are ubiquitous in multivariate time series (MTS) data, posing significant challenges for accurate analysis and downstream applications. In recent years, deep learnin…
PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series
Wenjie Du, Yiyuan Yang, Linglong Qian +2
PyPOTS is an open-source Python library dedicated to data mining and analysis on multivariate partially-observed time series with missing values. Particularly, it provides easy acc…
SAITS: Self-Attention-based Imputation for Time Series
Wenjie Du, David Cote, Yan Liu
Missing data in time series is a pervasive problem that puts obstacles in the way of advanced analysis. A popular solution is imputation, where the fundamental challenge is to dete…
Forecasting Loss of Signal in Optical Networks with Machine Learning
Wenjie Du, David Cote, Chris Barber +1
Loss of Signal (LOS) represents a significant cost for operators of optical networks. By studying large sets of real-world Performance Monitoring (PM) data collected from six inter…