I am a M.Sc./Ph.D. student in Data eXperience Lab at Sungkyunkwan University, advised by Eunil Park .Research Interests : Multimodal Deep LearningContact : lybin1070@gmail.com - Ph.D. in Applied Artificial Intelligence
Sungkyunkwan University, Seoul, Republic of Korea (2024 ~)- B.S. in Software Convergence
Seoul Women's University, Seoul, Republic of Korea (Mar. 2020 ~ Feb. 2024)Teaching Assistant
- DAI5017: 데이터사이언스컴퓨팅 (Fall 2025)
- AAI2009: 인공지능개론 (Fall 2025)
- DSC2008: 데이터사이언스와수학1 (Spring 2025)
- AAI2005: 컴퓨터구조및시스템 (Fall 2024)
- AAI2012: 컴퓨팅사고및응용 (Spring 2024)
Research Intern
- Visual Computing and Medical Imaging Lab (VCMI), Seoul Women’s University, Korea (Mar. 2023 ~ Dec. 2023)
- Data Collection Team (DCT), 에이아이닷엠 (ai.m), Korea (Sep. 2022 ~ Nov. 2022)
[Online first/in press/accepted]- Lee, S., Lee, Y., Park, E.*, & Chae W. (accepted). MASP: Multi-Aspect Guided Emotion Reasoning with Soft Prompt Tuning in Vision-Language Models. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI '26), AAAI.
[2025]- Lee, Y., Lee, S., Cha, J., Yang, J., & Park, E.* (2025). BOVIS: Bias-Mitigated Object-Enhanced Visual Emotion Analysis. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25, pp. 1508-1518), ACM.
- Lee, Y., Lee, S., Park, C., Cha, J., & Park, E.* (2025). Dynamic Temporal Gating Networks for Cross-Modal Valence-Arousal Estimation. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW '25, pp. 61–70), IEEE.
- Lee, S., Lee, Y., & Park, E.* (2025). EmoVLM-KD: Fusing Distilled Expertise with Vision-Language Models for Visual Emotion Analysis. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW '25, pp. 5633-5642), IEEE.
[2024]- Lee, S., Kim, S., Lee, Y., Yang, J., & Park, E.* (2024). Enhancing Dimensional Image Emotion Detection with a Low-resource Dataset via Two-stage Training. IEEE Transactions on Cognitive and Developmental Systems (SCIE, JCR 2023 IF=5.0, Q1 in Neuroscience).
- 김고운, 안진서, 이유빈, & 홍헬렌. (2024). 부분 신장 절제술 계획을 위한 하이브리드 CNN-트랜스포머 네트워크를 활용한 신장 종양 분할. Journal of the Korea Computer Graphics Society, 30(4), 11-18.
[2023]- 이유빈, 김고운, 안진서, 정희영, and 홍헬렌. (2023). 트랜스포머 기반의 UNETR++를 사용한 복부 CT 영상에서 신장 종양 자동 분할. 한국멀티미디어학회 추계학술대회.
- [2024.9-2025.8] Customized Art Therapy System Using Visual Sentiment Analysis, Research Subsidies for M.Sc. Candidates (석사과정생연구장려금지원), NRF.
- 🏆 Winner, Valence-Arousal Estimation Challenge @ 9th ABAW Competition (ICCV 2025 Workshop)
- 🏆 Best Research Award @ SKKU IME Annual Research Review 2025
(Top-rated research selected by industry and government-funded institutes evaluators across three departments)