Grace Lai-Hung Wong

According to our database1, Grace Lai-Hung Wong authored at least 15 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation.
IEEE Trans. Medical Imaging, 2022

Efficient Shapelet Discovery for Time Series Classification.
IEEE Trans. Knowl. Data Eng., 2022

AUTOSHAPE: An Autoencoder-Shapelet Approach for Time Series Clustering.
CoRR, 2022

IPS: Instance Profile for Shapelet Discovery for Time Series Classification.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series.
IEEE Trans. Neural Networks Learn. Syst., 2021

Importance-aware personalized learning for early risk prediction using static and dynamic health data.
J. Am. Medical Informatics Assoc., 2021

Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient Shapelet Discovery for Time Series Classification (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Temporal matrix completion with locally linear latent factors for medical applications.
Artif. Intell. Medicine, 2020

Visualet: Visualizing Shapelets for Time Series Classification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.
Proceedings of the AMIA 2018, 2018

2016
Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications.
CoRR, 2016


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