Grace Lai-Hung Wong

5 papers · 2020–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

AAAI (2) MICCAI (2) IJCAI (1)

Top co-authors

Fei Lyu (2) PongChi Yuen (2) Mang Ye (2) Pong C. Yuen (2) Qingxiong Tan (2) Jingwen Xu (2) Ye Zhu (2) Byron Choi (1) Kwok-Pan Chun (1) Guozhong Li (1)

Research topics

Data Science & Analytics (3) Methods (3) Machine Learning (2) Core Methods (2) Artificial Intelligence (1) Deep Learning (1) Healthcare & Medicine (1) Applications (1) Architectures (1) Clinical (1) Core AI (1) Optimization & Theory (1)

Keywords

multivariate time series (2) attention mechanism (1) time series classification (1) missing value imputation (1) irregular time series (1) gated recurrent unit (1) triplet loss (1) neural network (1) frequency domain analysis (1) shapelet learning (1) dual attention mechanism (1) patient outcome prediction (1) magnitude phase (1) irregular multivariate time series (1) mortality risk prediction (1) representation learning (1) clinical interpretation (1)

Papers

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt MICCAI 2024 Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction MICCAI 2024 Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data IJCAI 2021 ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification AAAI 2021 DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series AAAI 2020