Chanhyuk Lee

I am Chanhyuk (David) Lee, M.S student at KAIST School of Computing. I’m currently working in VL Lab, which is led by Prof. Seunghoon Hong. Before joining the lab, I received my Bachelor’s degree from KAIST in a double major of Computer Science and Chemistry. I’m interested in neural network scaling, particularly developing efficient approaches to build large models with limited resources. My current work focuses on model fusion and parameter alignment, exploring how different networks can be combined while preserving their capabilities.

News

2026.01

One paper is accepted to ICLR 2026.

2025.09

One paper is accepted to NeurIPS 2025.

Publications

AdaRank: Adaptive Rank Pruning for Enhanced Model Merging

Chanhyuk Lee, Jiho Choi, Chanryeol Lee, Donggyun Kim, Seunghoon Hong

International Conference on Learning Representations (ICLR), 2026

arXiv Code

Universal Few-Shot Spatial Control for Diffusion Models

Kiet T. Nguyen, Chanhyuk Lee, Donggyun Kim, Donghoon Lee, Seunghoon Hong

Conference on Neural Information Processing Systems (NeurIPS), 2025

arXiv Code

Revisiting Weight Averaging for Model Merging

Jiho Choi^*, Donggyun Kim^*, Chanhyuk Lee, Seunghoon Hong

Preprint

arXiv Code

Education

M.S. in Computer Science

Korea Advanced Institue of Science and Technology (KAIST) (Mar. 2025 -)

Advisor: Prof. Seunghoon Hong

B.S. in Computer Science and Chemistry (Double Major)

Korea Advanced Institue of Science and Technology (KAIST) (Mar. 2019 - Feb. 2025)

Gyeonggi Science High School for Gifted

(Mar. 2016 - Feb. 2019)