Sehyun Hwang

I am a postdoctoral researcher at the Computer Vision Lab at DGIST working with Prof. Sunghoon Im. I received my Ph.D. from POSTECH, where I was advised by Prof. Suha Kwak in the Computer Vision Lab at POSTECH.
During my Ph.D., I worked on active learning, domain adaptation, and debiasing in machine learning and computer vision, with a focus on data-efficient and robust learning. My current research interests include data-centric learning and its applications to improving vision-language models (VLMs), large language models (LLMs), and embodied AI control.
I am open to research collaborations and discussions.
Feel free to reach out if you would like to discuss research-related matters.
News
Jul 22, 2025 | 📚 A paper about designing novel query for active learning is accepted to TMLR. |
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Feb 7, 2025 | 🎓 Successfully defended my Ph.D. dissertation and received my doctoral degree from POSTECH. |
Jul 1, 2024 | 💼 I joined Biomedical Imaging Group at Microsoft Research Cambridge as a research intern. |
May 1, 2024 | 💼 I joined Scalable Trustworthy AI Lab at University of Tübingen as a visiting researcher. |
Education
Sep, 2018 - Feb, 2025 | Pohang University of Science and Technology (POSTECH), Pohang, South Korea Integrated M.S./Ph.D. student in Computer Science and Engineering Advisor: Prof. Suha Kwak |
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Mar, 2014 - Sep, 2018 | Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea B.S. in School of Undergraduate Studies |
Experience
Aug, 2025 - present | Computer Vision Lab at DGIST, Daegu, South Korea Postdoctoral Researcher
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Mar, 2025 - May, 2025 | Computer Vision Lab at POSTECH, Pohang, South Korea Postdoctoral Researcher
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July, 2024 - Sep, 2024 | Biomedical Imaging Group at Microsoft Research Cambridge, Cambridge, UK Research Intern
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Mar, 2024 - May, 2024 | Scalable Trustworthy AI Lab at University of Tübingen, Tübingen, Germany Visiting Researcher
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Sep, 2018 - Feb, 2025 | Computer Vision Lab at POSTECH, Pohang, South Korea Ph.D. Student
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Publications
* indicates equal contribution.
Honors and Awards
BK21 Best Paper Award, POSTECH CSE
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Professional Services
Reviewer
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