$$ \Huge \textbf {Hyunho Kwon} \\ \newline \small Graduate \space Student - South \space Korea $$

Hello there! My name is Hyunho Kwon, and I am a graduate student at the Compiler Research Laboratory (Corelab) at Yonsei University, Seoul, South Korea.

My research focuses on compiler optimization and verification for large language model (LLM)-generated code. I study how LLMs can be used to expand the space of compiler optimizations, while ensuring correctness through a combination of static analysis, symbolic verification, and runtime checking. My goal is to build trustworthy compiler systems that safely integrate machine learning into performance-critical software.

CONTACT

📩 [email protected]

🌐 CoreLab

🗺️ Seoul, South Korea

CV

🔖 Hyunho’s CV

INTERESTS

• Compiler Optimization
• Large Language Models
• Verification
• LLVM

SOCIALS

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EDUCATION

2024.03 - Present

Study | Yonsei University, Seoul, Republic of Korea

M.S./Ph.D. Student, Advisor: Prof. Hanjun Kim

Research Project: “Large Language Models for Compiler Optimization”

2018.03 - 2024.03

Study | Yonsei University, Seoul, Republic of Korea

Bachelor’s Degree in Electrical and Electronic Engineering

EXPERIENCE

2024.03 - Present

Working Position | Research Assistant

Compiler Research Laboratory (Corelab), Yonsei University, Seoul, Republic of Korea

• Deep Learning Compiler Optimization
• Large Language Models for Compiler Optimization
• Code Verification

2025.01 - 2025.08

Working Position | Visiting Student Researcher

Samsung Advanced Institute of Technology, Suwon, Republic of Korea

• Large Language Models for Compiler Optimization
• Code Verification

2023.01 - 2024.03

Working Position | Undergraduate Research Assistant

Compiler Research Laboratory (Corelab), Yonsei University, Seoul, Republic of Korea

• Deep Learning Compiler Optimization

RECOGNITION

Award | Academic Excellence Award, Honors, spring 2023

PUBLICATIONS

Compiler-Runtime Co-operative Chain of Verification for LLM-Based Code Optimization [Abstract] [IEEE Xplore]

Hyunho Kwon, Sanggyu Shin, Ju Min Lee, Hoyun Youm, Seungbin Song, Seongho Kim, Hanwoong Jung, Seungwon Lee, and Hanjun Kim Proceedings of the 2026 International Symposium on Code Generation and Optimization (CGO), January 2026 Accept Rate: 35% (45/128)

TeMCO: Tensor Memory Compiler Optimization across Tensor Decompositions in Deep Learning Inference [Abstract] [ACM]

Seungbin Song, Ju Min Lee, Haeeun Jeong, Hyunho Kwon, Shinnung Jeong, Jaeho Lee, and Hanjun Kim Proceedings of the 53rd International Conference on Parallel Processing (ICPP), August 2024

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