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Jinwoo Ahn
👋 Hey! I am a third-year undergraduate student at
Berkeley EECS
with an honors concentration in cognitive science.
I will be returning to Berkeley in the fall to continue
my studies upon completion of my military service.
🕐 I was previously affiliated twice with
Boeing Research & Technology
as a research intern.
Before this, I worked with
Dr. Ruiqi Zhong
at
Berkeley AI Research
on concrete problems of natural language processing.
🔍 I am actively looking for
industry internships (South Korea)
and
academic research opportunities
(Anywhere on Earth) for Summer 2026 and beyond.
Email
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Scholar
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Twitter
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Github
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LinkedIn
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Medium
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Research
I envision developing AI systems that imitate the human thought
process across different modalities. For this purpose, I work with
different types of inputs to reduce the gap between human and
machine cognition.
Recently, I am shifting my interest towards building AI systems
that are safe and reliable.
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News
- [5/24/2026] I officially discharged from the military. It definitely felt longer than it actually was.
- [6/25/2025] One paper has been accepted to ICCV 2025.
- [1/2/2025] I will be serving my mandatory military service at the Combined Forces Command.
- [9/15/2024] I am now a part of AttentionX as a guest member.
- [1/15/2024] I will be returning to Boeing as a Research Intern.
- [9/21/2023] One paper has been accepted to NeurIPS 2023.
- [7/15/2023] I am now a part of the Berkeley EECS Honors Program.
- [6/26/2023] I will be working at Boeing as a Research Intern.
- [6/12/2022] I will be working at Dashlabs.ai as a Software Engineering Intern.
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Publications
VAGUE: Visual Contexts Clarify Ambiguous Expressions
Heejeong Nam*,
Jinwoo Ahn*,
Keummin Ka,
Jiwan Chung,
Youngjae Yu
International Conference on Computer Vision (ICCV), 2025
[paper]
[code]
[project]
Goal Driven Discovery of Distributional Differences via Language Descriptions
Ruiqi Zhong,
Peter Zhang,
Steve Li,
Jinwoo Ahn,
Dan Klein,
Jacob Steinhardt
Advances in Neural Information Processing Systems (NeurIPS), 2023
[paper]
[code]
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Others
Fine-Grained Open-Vocabulary Object Recognition via User-Guided Segmentation
Jinwoo Ahn,
Hyeokjoon Kwon,
Hwiyeon Yoo
Technical Report, 2024
[paper]
Recursive Chain-of-Feedback Prevents Performance Degradation from Redundant Prompting
Jinwoo Ahn,
Kyuseung Shin
Technical Report, 2024
[paper]
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Miscellaneous
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I come from a multicultural background. I was born in Korea,
grew up in China, and am now living in the US.
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I train mixed martial arts. I occasionally go on amateur
leagues and want to fight professionally someday.
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I have my own way of staying disciplined. I either run,
train martial arts, and/or lift at the gym regularly.
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Collaboration
I am very optimistic towards research collaboration, especially
if we plan to submit to top venues or legalize them as patents.
I frequently pursue personal projects with external collaborators
on ideas that I find worth investigating.
If you believe you will benefit from having a collaborator like me,
please do not hesitate to reach out.
Below are my fantastic collaborators that I worked or am currently
working with:
- Kyuseung Shin (Everspin; EECS at UC Berkeley)
- Heejeong Nam (Boeing; MSCS at Brown)
- Hwiyeon Yoo, PhD (Boeing; now at Naver Labs)
- Hyeokjoon Kwon (Boeing; MSR at CMU)
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Website design from
Jon Barron
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