Scholar
Jaehoon Yoo
Google Scholar ID: L99pxh8AAAAJ
KAIST CS
Citations & Impact
Citations
135
H-index
3
i10-index
2
Publications
6
Co-authors
0
Contact
Publications
Resume
Academic Achievements
- Publications include: ReDi: Rectified Discrete Flow (NeurIPS 2025), Simulation-Free Training of Neural ODEs on Paired Data (NeurIPS 2024), Learning to Compose: Improving Object Centric Learning by Injecting Compositionality (ICLR 2024), Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers (CVPR 2023), SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data (CVPR 2021). Projects: Development of Short-term precipitation prediction technology using Artificial Intelligence (2021-2024), Line-art Colorization with SPADE (2019), Reproducing PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection with Pytorch (2018). Honors: ICLR2025 Notable Reviewer, The Presidential Science Scholarship (2016-2020).
Research Experience
- Research Intern at KAIST VLLab (2020), KAIST SIIT Lab (2019), NAVER WEBTOON (2018), and KAIST IVY Lab (2018).
Education
- Received B.S. in Electrical Engineering and M.S. in Computer Science from KAIST. Advisor: Prof. Seunghoon Hong.
Background
- PhD student at KAIST VLLAB. Research interest in improving the computational efficiency of neural networks and enhancing generative models.
Miscellany
- Contact: wogns98@kaist.ac.kr. Other platforms: Google Scholar, GitHub