no code implementations • 19 Mar 2024 • JieLin Qiu, William Han, Winfred Wang, Zhengyuan Yang, Linjie Li, JianFeng Wang, Christos Faloutsos, Lei LI, Lijuan Wang
Open-domain real-world entity recognition is essential yet challenging, involving identifying various entities in diverse environments.
1 code implementation • 7 Jun 2023 • JieLin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, JianFeng Wang, Ding Zhao, Bo Li, Lijuan Wang
To address these challenges and provide a comprehensive dataset for this new direction, we have meticulously curated the \textbf{MMSum} dataset.
no code implementations • 13 Apr 2023 • JieLin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Automated interpretation of electrocardiograms (ECG) has garnered significant attention with the advancements in machine learning methodologies.
no code implementations • 21 Jan 2023 • JieLin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
The learned embeddings are evaluated on two downstream tasks: (1) automatic ECG diagnosis report generation, and (2) zero-shot cardiovascular disease detection.
1 code implementation • 10 Aug 2022 • William Han, JieLin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
In addition, we provide interpretations of the performance improvement: (1) feature distribution shows the effectiveness of the alignment module for discovering and encoding the relationship between EEG and language; (2) alignment weights show the influence of different language semantics as well as EEG frequency features; (3) brain topographical maps provide an intuitive demonstration of the connectivity in the brain regions.