4 citations · 7 across the 13 of their papers we have counts for
4 papers · 1 filter
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
Jiexi Liu, Meng Cao, Songcan Chen
Irregularly sampled multivariate time series (ISMTS) are prevalent in reality. Due to their non-uniform intervals between successive observations and varying sampling rates among s…
Guidance Not Obstruction: A Conjugate Consistent Enhanced Strategy for Domain Generalization
Meng Cao, Songcan Chen
Domain generalization addresses domain shift in real-world applications. Most approaches adopt a domain angle, seeking invariant representation across domains by aligning their mar…
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis
Jiexi Liu, Meng Cao, Songcan Chen
Irregularly sampled multivariate time series (ISMTS) are prevalent in reality. Most existing methods treat ISMTS as synchronized regularly sampled time series with missing values,…
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
Xiang Li, Jiexi Liu, Xinrui Wang +1
In reality, data often exhibit associations with multiple labels, making multi-label learning (MLL) become a prominent research topic. The last two decades have witnessed the succe…