VAGUE: Visual Contexts Clarify Ambiguous Expressions
Heejeong Nam*, Jinwoo Ahn*, Keummin Ka, Jiwan Chung, Youngjae Yu
Preprint (2025)
About
I am an AI Researcher at Boeing. My primary research interests in AI are representation learning and generative models, and probabilistic graphical models. Previously, I was fortunate to collaborate on research with Prof. Youngjae Yu (Yonsei), Prof. Sanghack Lee (SNU), and Prof. B.S. Manjunath (UCSB). I received B.S. degree at Yonsei University majoring in Electrical and Electronic Engineering with a minor in Astronomy.
As a Computer(70%) Scientist(30%), I am interested in:
- Disentangled/causal representation learning
- Object-centric learning
- Contrastive learning and Equivariance
To become a Computer(30%) Scientist(70%), I am always keen to put more effort into:
- AI for science
- Science for AI
- Neuro-symbolic AI
I am always open to collaborate within diverse fields :
- Bringing neuroscience perspective to machine learning
- Drug discovery / Protein representation learning
- Astronomy / Aerospace Engineering
News
| Mar. 2025 | Our multimodal reasoning benchmark VAGUE 2.0 is released!🎉 |
| Oct. 2024 | 🎉 1 paper is accepted at AdvML-Frontiers @ NeurIPS 2024 🎉 |
| Jun. 2024 | New Position💫 External collaborator in Causality Lab @ SNU |
| Jun. 2024 | I transferred to full-time researcher at Boeing Korea |
| Jan. 2024 | New Position💫 AI Research Intern @ Boeing Korea |
| Dec. 2023 | 🎉 1 paper is accepted at ICASSP 2024 🎉 |
| Nov. 2023 | Presented "Disentangled Representation Learning" @ YAI. |
| Oct. 2023 | 🎉 1 paper is accepted at CRL @ NeurIPS 2023 🎉 |
| Oct. 2023 | Selected as a NeurIPS 2023 Volunteer. |
| Sep. 2023 | Presented "Enhanced Open Set Recognition via Disentangled Representation Learning" @ 4th Korea Artificial Intelligence Conference. |
| Sep. 2023 | New Position💫 Industry-Academic Cooperation @ Linq Labs (Wecover Platforms). |
| Sep. 2023 | 🎉 1 paper is accepted in 4th Korea Artificial Intelligence Conference 🎉 |
| Oct. 2022 | New Position💫 Research Intern in AITRICS (~Feb '23). |
| Jun. 2022 | New Position💫 Research Intern in VRL @ UCSB. (~Sep '22) |
Publications
* indicates equal contribution.
VAGUE: Visual Contexts Clarify Ambiguous Expressions
Heejeong Nam*, Jinwoo Ahn*, Keummin Ka, Jiwan Chung, Youngjae Yu
Preprint (2025)
An Adversarial Learning Approach to Irregular Time-Series Forecasting
Heejeong Nam, Jihyun Kim, Jimin Yeom
NeurIPS 2024 Workshop on AdvML-Frontiers
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Pathological Images
Joohyeong Lee, Heejeong Nam, Kwanhyeong Lee, Sangchul Hahn
International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024
SCADI: Self-supervised Causal Disentanglement in Latent Variable Models
Heejeong Nam
NeurIPS 2023 Workshop on Causal Representation Learning
Enhanced Open Set Recognition via Disentangled Representation Learning
Heejeong Nam
2023 Korea Artificial Intelligence Conference pp.208-210
Videos
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Past Experiences
| AI Researcher, Boeing Korea Engineering and Technology Center , Jan 2024–Present |
| B.S. (EE), Yonsei University , Mar 2019–Feb 2024, |
| AI Research Intern, Linq Labs , Sep 2023–Dec 2023 |
| AI Research Intern, AITRICS , Oct 2022–Feb 2023 |
| AI Research Intern, Vision Research Lab at UCSB , Jun 2022–Sep 2022 |
| Exchange Student (ECE), University of California, Los Angeles , Winter, Spring 2022 |
Side Work
Non-Referred Notes & Side Projects
Normal Pressure Hydrocephalus(NPH) prediction
Predicting NPH by performing brain CT segmentation and calculating the volume of ventricle. Done while doing internship at UCSB.
UCLA Time Table Recommender
Class description based class recommender.
Miscellaneous
I love (almost all) outdoor activities. I enjoy working out, figure skating, snowboarding, swimming, and bouldering. I'm always excited to try new sports. I also like taking pictures of nature during the travel.
