May 2026
[Address] Daejeon, Republic of Korea [Interested In] Medical AI [Birth] 19950825/YYYYMMDD [Email] [email protected] [Military Service] $\bullet$ ROK Ⅲ Corps :3rdcorp: / 20160816 - 20180515 [Education] $\bullet$ Ph. D. Candidate KAIST Graduate School of Data Science (2023 ~) $\bullet$ M.S. KAIST Graduate School of Data Science (2023) $\bullet$ B.S. Seoul Nat'l Univ of Science & Tech Industrial Engineering (2021) $\bullet$ Daejeon High School (2014) [Outbound Link] :google_scholar: Google Scholar :linkedin: linkedin
$\small\texttt{\textcolor{red}{[CVPR]}}$Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning [Arxiv]
$\small\texttt{\textcolor{red}{[CVPR Workshop]}}$DRCoD: Toward Robust Continual Learning of Diffusion Models for Tire Manufacturing Prototyping [TBA] - Jisu Shin, Sol Lee, Sungrae Hong$^{\circ}$, A Young Kim, Youngbin You, Jeongheon Park, Jungsoo Oh, Mun Yong Yi$^\dagger$
$\small\texttt{\textcolor{red}{[SIGIR]}}$Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders [TBA]
$\small\texttt{\textcolor{red}{[MICCAI]}}$Missing Modality-Aware Calibration for Trustworthy Brain Tumor Segmentation [TBA]
$\small\texttt{\textcolor{red}{[MICCAI]}}$DiagMIL: Uncertainty-Gated Coarse-to-Fine Multi-Resolution MIL for WSI Diagnosis [TBA]
4 papers are under review.
$\small\texttt{\textcolor{red}{[WACV]}}$Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning [Arxiv] [Proceeding]
$\small\texttt{\textcolor{red}{[MICCAI Workshop/Oral]}}$Priority-Aware Clinical Pathology Hierarchy Training for Multiple Instance Learning [Arxiv] **[OpenReview]**
$\small\texttt{\textcolor{navy}{[KCC]}}$Calibrating MIL in Histopathology with Uncertainty-Aware Label Smoothing via Evidential Learning [Proceeding]
$\small\texttt{\textcolor{navy}{[KCC]}}$Metadata-Aware Multimodal MIL with Reliable Calibration for Histopathology Diagnosis [Proceeding]
$\small\texttt{\textcolor{red}{[ISBI]}}$Towards Classifying Histopathological Microscope Images as Time Series Data [Arxiv] [Proceeding]
$\small\texttt{\textcolor{red}{[ISBI]}}$Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification [Proceeding]
$\small\texttt{\textcolor{red}{[AAAI Workshop]}}$TireDiff: A Framework for Conditional Tire Footprint Images Generation from Manufacturing Tabular Data [Proceeding]
$\small\texttt{\textcolor{red}{[WACV/Oral]}}$Uncertainty-based Data-wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification [Proceeding]
$\small\texttt{\textcolor{navy}{[KAIA]}}$Sensitivity-Aware Fine-Tuning: Enhancing Parameter Importance with Hessian Connections [Proceeding]
$\small\texttt{\textcolor{navy}{[KCC]}}$Image Augmentation Based Self-supervised Learning for Music Genre Classification [Proceeding]
$\small\texttt{\textcolor{green}{[Arxiv]}}$CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images [Arxiv]
$\small\texttt{\textcolor{navy}{[KCC/Oral]}}$MATE: The Multimodal Model Using Audio and Text for Emotion Recognition [Proceeding]
$\small\texttt{\textcolor{navy}{[KIIE]}}$A Simple Cut Augmentation For Medical Pathology Image [Proceeding]
$\small\texttt{\textcolor{navy}{[KIIE/Oral]}}$약한 지도 학습 방식의 조직 병리학 이미지 세그멘테이션 [Proceeding]
$^\dagger$: Corresponding Author, $^{\circ}$: Speaker $\small\texttt{\textcolor{red}{[International Conference]}} \\ \small\texttt{\textcolor{navy}{[Domestic Conference]}}$
Development of a Multimodal Artificial Intelligence-Based Computer-Aided Diagnosis System for Gastrointestinal Endoscopic Biopsies (Seegene Medical Foundation) [Period] March 2024 - March 2026 [Experience]
A Study on the Next Generation Medical Diagnosis System Based on AI (Seegene Medical Foundation) [Period] July 2021 - February 2024 [Experience]