Grace Lai-Hung Wong — accepted AI-conference papers

2021

Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data

Qingxiong Tan, Mang Ye, Grace Lai-Hung Wong, PongChi Yuen

IJCAI 2021poster

Due to the dynamic health status of patients and discrepant stability of physiological variables, health data often presents as irregular multi-rate multivariate time series (IMR-MTS) with significantly varying sampling rates. Existing methods mainly study changes of IMR-MTS values in the time domai…

Cited by 11 Source ↗PDF ↗Scholar ↗

2021

ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

Guozhong Li, Byron Choi, Jianliang Xu, Sourav S Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong

AAAI 2021technical

Time series shapelets are short discriminative subsequences that recently have been found not only to be accurate but also interpretable for the classification problem of univariate time series (UTS). However, existing work on shapelets selection cannot be applied to multivariate time series classif…

Cited by 146 Source ↗PDF ↗Scholar ↗