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Jieun Kim Hi! I'm a Ph.D. student at the Soft Computing Lab at Yonsei University, advised by Prof. Sung-Bae Cho. My research focuses on vision, multimodal learning, and trustworthy AI (XAI) . I'm particularly interested in understanding how models perceive and reason about the visual world, and how we can ensure their outputs are interpretable and reliable. Currently, I am actively seeking research internship opportunities where I can contribute to and collaborate on cutting-edge problems in vision and multimodal AI. |
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News |
| 🎉 2026.01 : One paper on Visual–Linguistic Abductive Reasoning is accepted at EACL 2026! |
| 🎉 2025.06 : One paper on Mitigating Hallucination of Visual Language Model is accepted at ICCV 2025! |
UnderReview |
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Context-aware Logical Reasoning in Language Model via Situation Working
Memory
Jieun Kim, Seoha Lim, YoungHae Choi, Sung-Bae Cho Under Review, 2026 |
Research |
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Visual–Linguistic Abductive Reasoning with LLMs for Knowledge-based Visual Question Answering
Jieun Kim, Yujun Jung, Sung-Bae Cho EACL, 2026 paper |
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Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large
Vision-Language Models
Jieun Kim, Jinmyeong Kim , Yoonji Kim, Sung-Bae Cho ICCV, 2025 page / paper |
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Visual Question Answering: A Survey of Methods, Datasets, Evaluation, and
Challenges
Byeong Su Kim, Jieun Kim, Deokwoo Lee, Beakcheol Jang ACM Computing Surveys, 2025 (IF 23.8) paper |
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FTT: Fourier Transform based Transformer for Brain CT Report
Generation
Jieun Kim, Byeong Su Kim, Insung Choi, Zepa Yang and Beakcheol Jang ICAIIC, 2024 |
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Facial Expression Recognition using Visual Transformer with Histogram of
Oriented Gradients
Jieun Kim, Ju O Kim, Seungwan Je, Deokwoo Lee Electronic Imaging, Vol. 7, oral 19 Jan 2023 |
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Facial Expression Recognition Robust to Occlusion using Spatial Transformer
Network with Triplet Loss Function
Jieun Kim, Eung-Joo Lee, Deokwoo Lee SPIE 12101, Pattern Recognition and Tracking , 2022 |
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Design and source code from Jon Barron |