Scholar
Jaewon Chu
Google Scholar ID: X3RX138AAAAJ
Korea University
Citations & Impact
Citations
77
H-index
5
i10-index
3
Publications
6
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Selected as a Top Reviewer for NeurIPS 2025.
- Served as a reviewer for CVPR 2026.
- Paper 'PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs' accepted at NeurIPS 2025.
- Paper 'Inversion-based Latent Bayesian Optimization' accepted at NeurIPS 2024.
- Paper 'Advancing Bayesian Optimization via Learning Smooth Latent Spaces' accepted at NeurIPS 2023.
- Paper on multi-hop KGQA accepted at NeurIPS 2023.
- Paper on video question answering accepted at ICCV 2023.
- Paper on token merging for video transformers accepted at CVPR 2024.
- Paper on latent Bayesian optimization accepted at ICLR 2025 (ORAL).
- Served as a reviewer for NeurIPS 2025, ICLR 2026, CVPR 2026.
Research Experience
- Conducting research at MLV Lab, focusing on the intersection of generative models and black-box optimization methods.
Education
- Korea University, Department of Computer Science and Engineering, M.S.-Ph.D. Integrated Program, Advisor: Professor Hyunwoo J. Kim, Started March 2023.
Background
- A 3rd-year M.S.-Ph.D. integrated student in the Department of Computer Science and Engineering at Korea University, conducting research at the Machine Learning and Vision Lab (MLV) under the supervision of Professor Hyunwoo J. Kim. Broadly interested in optimizing generative AI to better serve human needs, particularly through the intersection of generative models and black-box optimization methods, including Bayesian Optimization, Neural Bandits, and Reinforcement Learning.
Miscellany
- Actively seeking internship opportunities where I can apply my research skills and contribute to impactful projects.
