Causal Representation Learning with Partially Observable Sources
Kwonho Kim, Inwoo Hwang, Heejeong Nam, Sanghack Lee
Under Review
About
I am an AI Researcher at Boeing and an
incoming
CS masters student at
.
Previously, I received B.S. degree at Yonsei University majoring in Electrical
and Electronic Engineering with a minor in Astronomy. My studies will be funded by 
.
Currently, I am highly interested in:
- Representation Learning
- AI for Science
- Causal AI
Alongside, I am keen to put effort into :
- Compositional Understanding
- Mechanistic Interpretability
News
| May. 2025 |
I am honored to be selected as a
graduate student.
|
| Mar. 2025 | Our multimodal reasoning benchmark VAGUE 2.0 is released! |
| Oct. 2024 | 1 paper is accepted at AdvML-Frontiers @ NeurIPS 2024 |
| Jun. 2024 | I started research collaboration @ Causality Lab (SNU). |
| Jan. 2024 |
I joined
 as an AI Researcher.
|
| Dec. 2023 | 1 paper is accepted at ICASSP 2024 |
| Oct. 2023 | 1 paper is accepted at CRL @ NeurIPS 2023 |
| Oct. 2023 | Selected as a NeurIPS 2023 Volunteer. |
| Sep. 2023 | I started Industry-Academic Cooperation @ LinqAlpha. |
| Sep. 2023 | 1 paper is accepted in 4th Korea Artificial Intelligence Conference. |
| Oct. 2022 | I starteed my internship at AITRICS (~Feb '23). |
| Jun. 2022 | I starteed my internship at VRL @ UCSB. (~Sep '22) |
Publications
* indicates equal contribution.
Causal Representation Learning with Partially Observable Sources
Kwonho Kim, Inwoo Hwang, Heejeong Nam, Sanghack Lee
Under Review
When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research
Guijin Son, Jiwoo Hong, Honglu Fan, Heejeong Nam, Hyunwoo Ko, Seungwon Lim, Jinyeop Song, Jinha Choi, Gonçalo Paulo, Youngjae Yu, Stella Biderman
Preprint
VAGUE: Visual Contexts Clarify Ambiguous Expressions
Heejeong Nam*, Jinwoo Ahn*, Keummin Ka, Jiwan Chung, Youngjae Yu
Preprint
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
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 |
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.
