20 citations · 25 across the 9 of their papers we have counts for
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cs.LG2023
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Chen Liang, Donghua Yang, Zhiyu Liang +4
In recent times, the field of unsupervised representation learning (URL) for time series data has garnered significant interest due to its remarkable adaptability across diverse do…
cs.LG2023★ 20 cited
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning
Zhiyu Liang, Jianfeng Zhang, Chen Liang +3
Recent studies have shown great promise in unsupervised representation learning (URL) for multivariate time series, because URL has the capability in learning generalizable represe…
cs.LG2023★ 5 cited
UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
Zhiyu Liang, Chen Liang, Zheng Liang +2
Machine learning has emerged as a powerful tool for time series analysis. Existing methods are usually customized for different analysis tasks and face challenges in tackling pract…