January 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
✔️ Work Experience
Prof. Mun Yong Yi: Knowledge System Lab of ISE&GSDS, KAIST
Development of a Multimodal Artificial Intelligence-Based Computer-Aided Diagnosis System for Gastrointestinal Endoscopic Biopsies (Seegene Medical Foundation)
[Period] 2024 March ~
[Experience]
- Project Manager
- Multiple Instance Learning using Multiclass and Resolution WSIs
- Prioriy-Aware Mistake Severity Training for WSI
- Decision Making under Uncertainty
A Study on the Next Generation Medical Diagnosis System Based on AI (Seegene Medical Foundation)
[Period] 2021 July - 2024 February
[Experience]
- Histopathology Whole Slide Segmentation
- Microscopy Pathology Image Classification under Weak Label and Noise
- Microscopy Diagnosis Team Manager
Prof. Sangheum Hwang: Data Intelligence Lab of IE, Seoultech
Development of Safety Monitoring Model Based on IoT for Subminiature Sensors (IITP)
[Period] 2020 July - 2021 July
[Experience]
- Time Series Modeling
- Anomaly Detection in Sequential Data
🔖 Publications
[2026]
4 papers are under review.
[2025]
(IC) Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning [Paper]
- Sungrae Hong$^{\circ}$, Sol Lee, Jisu Shin, Jiwon Jeong, Mun Yong Yi$^\dagger$
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026
(IC/Oral) Priority-Aware Clinical Pathology Hierarchy Training for Multiple Instance Learning **[Paper]**
- Sungrae Hong$^{\circ}$, Kyungeun Kim, Juhyeon Kim, Sol Lee, Jisu Shin, Chanjae Song, Mun Yong Yi$^\dagger$
- The 2nd MICCAI Student Board (MSB) EMERGE Workshop, September 23-27, 2025
- 🎉Best Paper Award
(DC) Calibrating MIL in Histopathology with Uncertainty-Aware Label Smoothing via Evidential Learning [Paper]
- Juheon Kim$^{\circ\ast}$, Sungrae Hong$^\ast$, Chanjae Song, Mun Yong Yi$^\dagger$
- 2025 KIISE Proceedings of Korean Computer Science Conference
(DC) Metadata-Aware Multimodal MIL with Reliable Calibration for Histopathology Diagnosis [Paper]
- Chanjae Song$^{\circ}$, Sungrae Hong, Junheon Kim, Minkyu Jeong, Mun Yong Yi$^\dagger$
- 2025 KIISE Proceedings of Korean Computer Science Conference
- Best Presentation Award
[2024]
(IC) Towards Classifying Histopathological Microscope Images as Time Series Data [Paper]
- Sungrae Hong$^{\circ}$, Hyeongmin Park, Youngsin Ko, Sol Lee, Bryan Wong, Mun Yong Yi$^\dagger$
- IEEE International Symposium on Biomedical Imaging (ISBI 2025), April 14-17, 2025
(IC) Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification [Paper]
- Bryan Wong, Sungrae Hong$^{\circ}$, Mun Yong Yi$^\dagger$
- IEEE International Symposium on Biomedical Imaging (ISBI 2025), April 14-17, 2025
(IC) TireDiff: A Framework for Conditional Tire Footprint Images Generation from Manufacturing Tabular Data [Paper]
- Sol Lee$^{\circ}$, Jisu Shin, Sungrae Hong, Chanjae Song, Youngbin Yoo, Jeongheon Park, Jungsoo Oh, Mun Yong Yi$^\dagger$
- 4th Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), March 3-4, 2025
(IC/Oral) Uncertainty-based Data-wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification [Paper]
- Hyeongmin Park$^{\circ}$, Sungrae Hong, Chanjae Song, Jongwoo Kim, Mun Yong Yi$^\dagger$
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
(DC) Sensitivity-Aware Fine-Tuning: Enhancing Parameter Importance with Hessian Connections [Paper]
- Nahyeon Lee$^{\circ}$, Sol Lee, Sungrae Hong, Mun Yong Yi$^\dagger$
- Korean Artificial Intelligence Association Summer Conference (KAIA) 2024
(DC) Image Augmentation Based Self-supervised Learning for Music Genre Classification [Paper]
- Hyeongmin Park$^{\circ}$, Sungrae Hong, Sol Lee, Taemi Kim, Mun Yong Yi$^\dagger$
- 2024 KIISE Proceedings of Korean Computer Science Conference
[2023]
(Arxiv) CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images [Paper]
- Sungrae Hong, Sol Lee, Mun Yong Yi$^\dagger$
- Arxiv Preprint
[2022]
(DC/Oral) MATE: The Multimodal Model Using Audio and Text for Emotion Recognition [Paper]
- Sungrae Hong$^{\circ}$, Taemi Kim, Sol Lee, Jongwoo Kim, Mun Yong Yi$^\dagger$
- 2022 KIISE Proceedings of Korean Computer Science Conference
(DC) A Simple Cut Augmentation For Medical Pathology Image [Paper]
- Sungrae Hong$^{\circ}$, Taemi Kim, Sol Lee, Mujin Kim, Bumho Lee, Youngsin Ko, Yumi Choi, Mun Yong Yi$^\dagger$
- Korean Institute of Industrial Engineers (KIIE), June 2022
(DC/Oral) 약한 지도 학습 방식의 조직 병리학 이미지 세그멘테이션 [Paper]
- Taemi Kim$^{\circ}$, Sungrae Hong, Sol Lee, Mujin Kim, Bumho Lee, Youngsin Ko, Yumi Choi, Mun Yong Yi$^\dagger$
- Korean Institute of Industrial Engineers (KIIE), June 2022
$^\dagger$: Corresponding Author, $^{\circ}$: Speaker
(IC): International Conference, (DC): Domestic Conference, (IJ): International Journal
🏆 Awards
**2025 MICCAI STUDENT BOARD (MSB) EMERGE WORKSHOP
- Best Paper Award
- Awarded NVIDIA**$^{\tiny{\textregistered}}$ DGX Spark as a Supplementary Prize [LINK]
- Sungrae Hong$^{\circ}$, Kyungeun Kim, Juhyeon Kim, Sol Lee, Jisu Shin, Chanjae Song, Mun Yong Yi$^\ddagger$
2024 KAIST ISE Research Day Competition
- Exellent Prize
- Sungrae Hong$^{\circ}$, Hyeongmin Park, Mun Yong Yi$^\ddagger$