Education

• KAIST, Daejeon, Korea (2024.03-Present)

Ph.D. in Electrical Engineering (Advisor: Prof. Yong Man Ro)

• KAIST, Daejeon, Korea (2022.03-2024.02)

M.S. in Electrical Engineering (Advisor: Prof. Yong Man Ro)

• SKKU, Suwon, Korea (2016.03-2020.02)

B.S. in Electrical Engineering

Publication

2025

2024

2. Empathetic Response in Audio-Visual Conversations Using Emotion Preference Optimization and MambaCompressor
   Yeonju Kim, Se Jin Park, and Yong Man Ro
   Under Review
   
   

3. Advancing Causal Intervention in Image Captioning with Causal Prompt

Youngjoon Yu, Yeonju Kim, and Yong Man Ro

IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2024

4. What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models
   Junho Kim, Yeon Ju Kim, Yong Man Ro
   Findings of the Association for Computational Linguistics: EMNLP (EMNLP), 2024

5. AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues
   Se Jin Park, Yeonju Kim, Hyeongseop Rha, and Yong Man Ro
   Under Review
   
   

6. CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
   Junho Kim*, Hyun Jun Kim*, Yeon Ju Kim, Yong Man Ro (* Co-First Authors)
   Advances in Neural Information Processing Systems (NeurIPS), 2024

2023

7. Mitigating Dataset Bias in Image Captioning through CLIP Confounder-free Captioning Network
   YeonJu Kim, Junho Kim, Byung-Kwan Lee, Sebin Shin, Yong Man Ro
   IEEE International Conference on Image Processing (ICIP), 2023.

Teaching Experience

• EE202 Signals and Systems, KAIST (2023 Fall)

• EE305 Introduction to Electronics Design Lab, KAIST (2022 Fall, 2023 Spring, 2024 Spring)

• EE837 Special Topics on Signal Processing: Multimedia Processing and Learning (2024 Fall)

• EE474 Introduction to Multimedia (2025 Spring)

Skills

• Pytorch

• Opencv

• MFC, Winform, pyqt

• English, Korean

Academic Services

Conference Reviewer 

• ICLR 2025, ICIP 2025

Journal Reviewer 

• • • Transactions on Circuits and Systems for Video Technology (TCSVT)

    • Transactions on Image Processing (TIP)

Work Experience

Samsung Electronics / Global Technology Research(2020.03 ~ 2022.01)
Software Engineer

• Visual inspection equipment, Manufacturing equipment

• computer vision(openCV), Deep learning(pytorch)

• Design intuitive GUI (mfc, winform, pyqt)

• Control hardware