$$ \Huge \textbf {Hoyun Youm} \\ \newline \small Graduate \space Student - South \space Korea $$

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

My research focuses on compiler optimization, homomorphic encryption, and privacy-preserving machine learning. I am currently working on compiler design for Fully Homomorphic Encryption. My work aims to make Fully Homomorphic Encryption more convenient for everyday users by accelerating its performance and improving usability, opening up new possibilities for secure and private data processing in various applications.

CONTACT

📩 [email protected]

🌐 corelab@yonsei

🗺️ Seoul, South Korea

CV

http://corelab.or.kr/CV/hoyun-full.pdf**_CV**

INTERESTS

• Compiler Optimization
• Homomorphic Encryption
• Privacy Preserving Machine Learning
• Process in Memory

SOCIALS

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</aside>

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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: “Compiler Optimization on Fully Homomorphic Encryption”

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

• Range analysis compiler design for encrypted vector computation
• Benchmark design for the Fully Homomorphic Encryption scheme, RNS-CKKS
• Optimization of GPU libraries for homomorphic encryption

2023.01 - 2024.03

Working Position | Undergraduate Research Assistant

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

• Benchmark design for the Fully Homomorphic Encryption scheme, RNS-CKKS

RECOGNITION

Award | 3rd Place: ASPLOS / EuroSys 2025 Contest Track, April 2025

Title: Optimized Neuron Kernel Interface (NKI) Implementation of Llama 3.2 1B (Inference) [Photo] [Link]

Award | 1st Place: Student Research Competition at International Symposium on Code Generation and Optimization (CGO), March 2025

Title: Range Analysis Compiler for Encrypted Vector Computation [Link]

Award | Grand Prize: ICT Challenge hosted by Ministry of Science and ICT, September 2023

Title: Fully Homomorphic Encryption Compiler for Privacy-Preserving Machine Learning

Scholarship | The National Scholarship for Science and Engineering, March 2018 ~ March 2024

Full funding for a bachelor's degree

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)