Scholar
Song Park
Google Scholar ID: VR1c0H8AAAAJ
NAVER AI Lab
Citations & Impact
Citations
1,414
H-index
10
i10-index
10
Publications
14
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- DNNs May Determine Major Properties of Their Outputs Early, with Timing Possibly Driven by Bias (2025)
- Probabilistic Language-Image Pre-Training (2025)
- Rotary position embedding for vision transformer (2024)
- SeiT++: Masked Token Modeling Improves Storage-efficient Training (2024)
- Similarity of neural architectures using adversarial attack transferability (2024)
Research Experience
- Worked as a Research Scientist at NAVER AI Lab from 2022 to 2025.
Education
- Received Ph.D. and M.S. in Integrated Technology from Yonsei University in 2022, supervised by Hyunjung Shim; B.S. in Integrated Technology also from Yonsei University.
Background
- Research interests include understanding how deep neural networks perceive and process diverse visual concepts to enhance structured visual representations for real-world applications. Specializes in text-to-image generative models and visual representation learning.
Co-authors