Dongkyun Kim

Me
dongkyuk [at] andrew [dot] cmu [dot] edu

Hi, my name is Dongkyun (김동균), a senior at Carnegie Mellon University majoring in Artificial Intelligence and Computer Science. I am currently working on my Honors Undergraduate Research Thesis advised by Professor Jun-Yan Zhu at CMU's Generative Intelligence Lab.

Previously, I have worked in multiple AI startups both as an intern and a full-time employee, where I took leading roles in multiple projects such as ai-powered eye-tracking and few-shot font generation.

My current research interests include developing Computer Vision solutions for content generation. In the past, I have also worked on integrating AI into healthcare, especially in the field of diagnois. As a junior, I was lucky to win the ICCV CVAMD 2023 challenge on automated medical diagnosis, and my story was featured in CMU News.

When I'm not coding, I enjoy watching movies, playing mind sports, and going bouldering or biking.

Publications

Illustration for CheXFusion: Effective Fusion of Multi-View Features Using Transformers for Long-Tailed Chest X-Ray Classification

CheXFusion: Effective Fusion of Multi-View Features Using Transformers for Long-Tailed Chest X-Ray Classification

ICCV Workshop (Oral)
Illustration for Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen-Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
Medical Image Analysis