👋 Introduction

I’m SangEun Lee, a research scientist at ETRI in South Korea. My research aims to develop robust vision-language models capable of understanding, reasoning, and generating in complex real-world scenarios. I am particularly interested in emotion recognition, 3D vision, and multimodal representation learning, with a focus on designing effective data and learning frameworks for enhanced interpretability, efficiency, and generalization.

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🌐 Contact

• Email: sange1104@etri.re.kr
• GitHub   Google Scholar

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💼 Experiences

AI Researcher, ETRI | 2023.01. – Present
Research on 3D object generation and webtoon-style image generation using diffusion models

Research Assistant, KT R&D Center | 2022.07. – 2022.08.
Research for improvement of Question Answering system with contrastive learning

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🏆 Awards & Honors

• NEW 1st place in ABAW VA prediction challenge @ ICCV 2025, media
• Outstanding Presentation Paper Award (우수발표논문상) @ Korea Computer Congress, 2023
• Honorable Mention in S-HERO Practical Problem-Solving Competition @ Sungkyunkwan University, 2021
• 2nd Prize in In-school software development with AI contest @ Sungkyunkwan University, 2021
• 3rd Prize in 2020 Bookathon Contest @ Sungkyunkwan University, 2020
• 2nd Prize in Lifestyle Improvement App Development Contest @ Sungkyunkwan University, 2020

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🔧 Projects

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📄 Publications

International (J: Journal / C: Conference)

• NEW [C8] Lee, S., Lee, Y., Park, E.*, & Chae W. 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. (accepted)

• [C7] Lee, Y., Lee, S., Park, C., 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), ACM. (accepted)

• [C6] 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 9th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW, ICCV Workshop ‘25, pp. 61-70), IEEE.

• [C5] Lee, S., Lee, Y., & Park, E.* (2025). EmoVLM-KD: Fusing Distilled Expertise with Vision-Language Models for Visual Emotion Analysis. In Proceedings of 8th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW, CVPR Workshop ‘25, pp. 5633-5642), IEEE.

• [J6] Lee, S., Kim, S., Lee, Y., Yang, J., & Park, E.* (2025). 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).

• [C4] Lee, S., Chae, W., Kim, H. (2024). Retrieve-and-generate: Image-to-3D framework with mesh retrieval and texture generation. In Proceedings of the 15th International Conference on ICT Convergence.

• [J5] Lee, S., Kim, S., Chu, Y., Choi, J., Park, E*. (2024). EAE-GAN: Emotion-Aware Emoji Generative Adversarial Network for Computational Modeling Diverse and Fine-Grained Human Emotions. IEEE Transactions on Computational Social Systems, 11(3), 3862-3872 (SCIE, JCR 2022 IF=5.0, Q1 in Computer Science, Cybernetics)

• [C3] Yu, H., Lee, S., Yeo, B., Han, J., Park, E*. Pack, S. (2024). Towards a Lightweight Object Detection through Model Pruning Approaches In Proceedings of the 14th International Conference on ICT Convergence.

• [C2] Lee, S., Chae, W., Kim, H. (2023). Generating Webtoon Scene Images with Latent Diffusion Models. In Proceedings of the 19th International Conference on Multimedia Information Technology and Applications.

• [J4] Lee, S., Ryu, C., Park, E.* (2023) OSANet: Object Semantic Attention Network for Visual Sentiment Analysis. IEEE Transactions on Multimedia, 25, 7139-7148 (SCIE, JCR 2021 IF=8.182, Q1 in Computer Science, Information Systems).

• [J3] Lee, S., Jeong, D., Park, E.* (2022) MultiEmo: multi-task framework for emoji prediction. Knowledge-Based Systems (SCIE, JCR 2020 IF=8.038, Q1 in Computer Science, Artificial Intelligence).

• [C1] Lee, S., Oh, S., Kim, M., Park, E.* (2022) Measuring Embedded Human-like Biases in Face Recognition Models. In Proceedings of the 2022 Artificial Intelligence with Biased or Scarce Data Workshop (AIBSD ‘22). AAAI.

• [J2] Kim, J., Aum, J., Lee, S., Jang, Y., Park, E., Choi, D. (2021) FibVID: Comprehensive fake news diffusion dataset during the COVID-19 period. Telematics and Informatics, 64, 101688 (SSCI, JCR 2020 IF=6.182, Q1 in Information Science \& Library Science).

• [J1] Choi, W., Kim, J., Lee, S., Park, E.* (2021) Smart home and Internet of Things: A bibliometric study. Journal of Cleaner Production, 301, 126908 (SCIE, JCR 2020 IF=9.297, Q1 in Engineering, Environmental).

Domestic

• 이상은， 채원석， 유호영， 김낙우， 김현진, 플랜트 산업에서의 Image-to-3D 성능 향상을 위한 사전 이미지 처리 프레임워크, 2025 한국컴퓨터종합학술대회.

• 이상은， 채원석， 김현진, 메쉬 검색과 텍스처 생성이 결합된 단일 이미지 기반 3D 객체 복원 모델, 2024 한국컴퓨터종합학술대회.

• 이상은， 채원석， 김현진, (2024) 다양한 맥락에서의 웹툰 캐릭터 이미지 생성을 위한 잠재 확산 모델 재학습, 정보과학회 컴퓨팅의 실제 논문지 30권 2호, 70 - 76.

• 이상은， 채원석， 김현진, 잠재 확산 모델 재학습을 통한 맥락별 웹툰 캐릭터 이미지 생성 기술, 2023 한국컴퓨터종합학술대회.

• 이상은， 김지수， 김지나， 박은일*, 엔젤파스쿠알델포빌, 소셜 네트워크 서비스 내 비난과 혐오 전파에 대하여: COVID-19 을 중심으로, 2021 한국HCI학회 학술대회.

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🎓 Education

M.Sc. in Applied Artificial Intelligence
Sungkyunkwan University, Seoul, South Korea (2021.09. – 2023.02.)
Major GPA: 4.25/4.5

Bachelor of Applied Artificial Intelligence
Sungkyunkwan University, Seoul, South Korea (2018.03. - 2021.08.)
Major GPA: 4.33/4.5, Cumulative GPA: 4.24/4.5
Award: Graduating with Highest Honors (Summa Cum Laude)