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Ganghui Yi I'm a research intern at BML Lab in CBNU, where I am fortunate to be advised by Prof. Kyuri Jo. My current research focuses on developing a MAML-based few-shot learning model pre-trained on TCGA to predict underrepresented diseases and identify biomarkers through DGE analysis and pathway integration, using XAI for interpretability. I have recently completed Google Korea Machine Learning Bootcamp, further honing my skills in machine learning. Previously, I received my bachelor from Sogang University in Seoul, where I double majored in Computer Science and Life Science. During my undergrad, I participated in an exchange program at Case Western Reserve University in Cleveland, OH. |
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ResearchMy research interests are AI for healthcare, applied machine learning, bioinformatics, and biomedical imaging. |
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Few-Shot Learning for Multi-Omics Disease Classification with a MAML-Based
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Ganghui Yi, Jeongjin Ju, Kyuri Jo ICMHI 2025 (9th International Conference on Medical and Health Informatics), (in submission) project page / PDF MAML-based few-shot learning model for multi-omics disease classification enables superior performance in low-data settings across COVID-19, Cirrhosis, and HBV-HCC. |
Miscellanea |
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I'm into film photography. My main gear is Nikon FE2 with 35mm(mainly) and 50mm. Although my name might sound Chinese, I'm actually Korean—but fun fact, I did live in China for five years! |
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