🗺️ Daejeon, South Korea
<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/36c7f341-a52a-40e5-a549-3fb4133e27fb/f30304aa-3449-4968-94ed-4711f30b0b92/icons8-twitter-48.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/36c7f341-a52a-40e5-a549-3fb4133e27fb/f30304aa-3449-4968-94ed-4711f30b0b92/icons8-twitter-48.png" width="40px" /> @yeonjun_in
</aside>
<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/36c7f341-a52a-40e5-a549-3fb4133e27fb/46a01e87-8cf8-4ca8-98b3-f6bc18fbef39/linkedin_480px.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/36c7f341-a52a-40e5-a549-3fb4133e27fb/46a01e87-8cf8-4ca8-98b3-f6bc18fbef39/linkedin_480px.png" width="40px" /> @Yeonjun In
</aside>
<aside> <img 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width="40px" /> @yeonjun-in
</aside>
I’m Yeonjun In, a Ph.D. student in the Industrial and Systems Department at KAIST, where I am fortunate to be advised by Prof. Chanyoung Park. I’m actively on research with my best colleagues at Data Science and Artificial Intelligence Lab.
My main research focuses on mitigating data-centric issues in real-world application to build reliable/trustworthy AI systems. My research topics of interest include, but are not limited to, the following:
<aside> 🗞️ $\textbf{News}$ ✔️ A paper got accepted at WSDM 2025. ✔️ A paper got accepted at CIKM 2024. ✔️ I started a research internship at Adobe Research, USA. ****✔️ A paper got accepted at CVPR 2024. ✔️ A paper got accepted at WWW 2024 Workshop on Data-centric Artificial Intelligence (DCAI). ✔️ Two papers got accepted at WWW 2024.
</aside>
(*: equal contribution)
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
Yeonjun In, Sungchul Kim, Ryan A. Rossi, Mehrab Tanjim, Tong yu, Ritwik Sinha, Chanyoung Park
arXiv preprint. 2024. [paper]
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
Wonjoong Kim*, Sangwu Park*, Yeonjun In, Seokwon Han, Chanyoung Park
arXiv preprint. 2024. [paper][code]
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness
Junghoon Kim*, Junmo Lee*, Yeonjun In, Kanghoon Yoon, Chanyoung Park
WSDM 2025.
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park
Noise Robust Graph Learning under Feature-Dependent Graph-Noise
Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park
WWW Workshop on Data-Centric AI Oral. 2024. [paper]
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi*, Wonjoong Kim*, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park
WWW 2024. Oral (198/2,008). [paper][code]
Self-Guided Robust Graph Structure Refinement
Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park
WWW 2024. Oral (198/2,008). [paper][code]
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim*, Kanghoon Yoon*, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
Class Label-aware Graph Anomaly Detection
Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park
CIKM 2023 (Short). [paper][code]
Similarity Preserving Adversarial Graph Contrastive Learning
Yeonjun In*, Kanghoon Yoon*, Chanyoung Park
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park
SIGIR 2022. (Short) [paper][code]
Simple Averaging of Direct and Recursive Forecasts via Partial Pooling using Machine Learning
Yeonjun In, Jae-Yoon Jung
International Journal of Forecasting (2022) (IF. 7.022) [paper] The first place in "M5 Forecasting - Accuracy" at Kaggle Competition
2023.08 -
KAIST (Korea Advanced Institute of Science and Technology)
2021.08 - 2023.07
KAIST (Korea Advanced Institute of Science and Technology)
2014.03 - 2021.02
Kyunghee University
2024.04 - 2024.06
Adobe Inc., San Jose, CA, USA
2021.03 - 2021.04
LG CNS, Seoul, Korea
2019.08 - 2020.02
Market Kurly, Seoul, Korea
