Tianyi Shi — accepted AI-conference papers

2025

TELL ME: Tackle Electrocardiogram with Large Language Model Effectively

Tianyi Shi, Siyang Zheng, Zhu Meng, Zhe Cui, Jin Huang, Changrui Ren +2

ICASSP 2025accepted

Electrocardiogram (ECG) signals are crucial indicators of various human physiological states. A thorough analysis of these signals is indispensable for applications such as disease prediction, mental stress assessment, and other medical diagnostics. Despite the rapid progress in large language model…

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2023

FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation

Tianyi Shi, Xiaohuan Ding, Liang Zhang, Xin Yang

ICCV 2023poster

Curvilinear object segmentation is critical for many applications. However, manually annotating curvilinear objects is very time-consuming and error-prone, yielding insufficiently available annotated datasets for existing supervised methods and domain adaptation methods. This paper proposes a self-s…

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