
Hello, I am Yeji Choi, currently a postdoc fellow at KAIST, working with Prof. ***Seungryong Kim.*** My research interests include computer vision, image generation & editing, and vision-language models.
I received my PhD degree in the School of Electrical and Electronic Engineering from Yonsei University in 2025, under the supervision of Prof. Kwanghoon Sohn (Yonsei University), with co-supervision from Prof. ***Ig-Jae Kim*** (Korea Institute of Science and Technology).
E-mail π§: yejichoi@kaist.ac.kr
LinkedIn : linkedin.com/in/yeji-choi
π‘Research Interests
- Computer vision
- Image Generation & Editing
- Vision-Language models
- Time Series Anomaly Detection
π Educations
- [Mar. 2019 - Aug. 2025] Ph.D. in Electrical and Electronic Engineering
- Yonsei University, Seoul, Korea
- Advisor: Kwanghoon Sohn(Yonsei University) & Ig-Jae Kim (KIST)
- Dissertation: Identity-Preserving Cross-Modal Face Synthesis via Domain-Invariant Embedding and Text-Guided Stylization
- [Mar. 2014 - Feb. 2016] M.S. in Department of Mathematics
- Ewha Womans University, Seoul, Korea
- Advisor: Jungho Yoon
- Dissertation: Image Zooming Method based on Data-adapted Moving Least H_d for Salt-and-Pepper Noise
- [Mar. 2010 - Feb. 2014] B.S. in Department of Mathematics
- Ewha Womans University, Seoul, Korea
π Publications
[International Conference]
- Navigating Label Ambiguity for Facial Expression Recognition in the Wild
- JunGyu Lee*, Yeji Choi*, Haksub Kim, Ig-Jae Kim, Gi Pyo Nam (*: equal contribution)
- Association for the Advancement of Artificial Intelligence (AAAI 2025)
- Face Photo-Sketch Synthesis via Domain-Invariant Feature Embedding
- Yeji Choi, Kwanghoon Sohn, and Ig-Jae Kim
- IEEE International Conference on Image Processing (ICIP 2023)
- GAN-based Anomaly Detection and Localization of Multivariate Time Series Data for Power Plant
- Yeji Choi, Hyunki Lim, Heeseung Choi, and Ig-Jae Kim
- IEEE International Conference on Big Data and Smart Computing (BigComp 2020)
[International Journal]
- Dual Transformers with Latent Amplification for Multivariate Time Series Anomaly Detection
- Yeji Choi, Kwanghoon Sohn, and Ig-Jae Kim
- IEEE Access, 2025