Grace Lai-Hung Wong

According to our database, Grace Lai-Hung Wong authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Local Style Transfer via Latent Space Manipulation for Cross-Disease Lesion Segmentation.

Fei Lyu, Mang Ye, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen

IEEE J. Biomed. Health Informatics, January, 2024

Temporal Neighboring Multi-modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction.

Jingwen Xu, Ye Zhu, Fei Lyu, Grace Lai-Hung Wong, Pong C. Yuen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt.

Fei Lyu, Jingwen Xu, Ye Zhu, Grace Lai-Hung Wong, Pong C. Yuen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification.

Rundong Zuo, Guozhong Li, Byron Choi, Sourav S. Bhowmick, Daphne Ngar-yin Mah, Grace Lai-Hung Wong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning From Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation.

Fei Lyu, Mang Ye, Andy J. Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen

IEEE Trans. Medical Imaging, 2022

Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation.

Fei Lyu, Andy J. Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen

IEEE Trans. Medical Imaging, 2022

Efficient Shapelet Discovery for Time Series Classification.

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

IEEE Trans. Knowl. Data Eng., 2022

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

Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Daphne Ngar-yin Mah, Grace Lai-Hung Wong

CoRR, 2022

IPS: Instance Profile for Shapelet Discovery for Time Series Classification.

Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Daphne Ngar-yin Mah, Grace Lai-Hung Wong

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series.

Qingxiong Tan, Mang Ye, Andy Jinhua Ma, Baoyao Yang, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen

IEEE Trans. Neural Networks Learn. Syst., 2021

Importance-aware personalized learning for early risk prediction using static and dynamic health data.

Qingxiong Tan, Mang Ye, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen

J. Am. Medical Informatics Assoc., 2021

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

Qingxiong Tan, Mang Ye, Grace Lai-Hung Wong, Pong Chi Yuen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient Shapelet Discovery for Time Series Classification (Extended Abstract).

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

Proceedings of the 37th IEEE International Conference on Data Engineering, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Temporal matrix completion with locally linear latent factors for medical applications.

Andy Jinhua Ma, Jacky C. P. Chan, Frodo Kin-Sun Chan, Pong C. Yuen, Terry Cheuk-Fung Yip, Yee-Kit Tse, Vincent W. S. Wong, Grace Lai-Hung Wong

Artif. Intell. Medicine, 2020

Visualet: Visualizing Shapelets for Time Series Classification.

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

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.

Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong Chi Yuen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction.

Qingxiong Tan, Andy Jinhua Ma, Mang Ye, Baoyao Yang, Huiqi Deng, Vincent Wai-Sun Wong, Yee-Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Jessica Yuet-Ling Ching, Francis Ka-Leung Chan, Pong C. Yuen

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.

Qingxiong Tan, Andy Jinhua Ma, Huiqi Deng, Vincent W. S. Wong, Yee-Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Ching Ling Jessica Yuet, Francis Ka-Leung Chan, Pong C. Yuen

Proceedings of the AMIA 2018, 2018

2016

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

Frodo Kin-Sun Chan, Andy Jinhua Ma, Pong C. Yuen, Terry Cheuk-Fung Yip, Yee-Kit Tse, Vincent Wai-Sun Wong, Grace Lai-Hung Wong

CoRR, 2016