University of Ulsan · Department of Electrical, Electronic, and Computer Engineering
Next-Generation Information Technology (xIT) Lab.
We advance error correction codes, AI-driven communication systems, quantum error correction, and reliable
information technologies for wireless communications, semiconductor devices, DNA data storage, and quantum computing.
Error-Correcting Code (ECC)AI-enhanced ECC for robust next-generation communication systems
Large Language Model (LLM)LLM text watermark for the responsible use of AI
Quantum ComputingFrontier information technologies for quantum error correction.
The Next-Generation Information Technology (xIT) Lab. at the University of Ulsan researches error
correction codes, AI-driven communication systems, quantum error correction, and reliable information
technologies for robust next-generation systems.
xIT Lab에서는 ECC, AI, 양자 오류 정정, LLM 워터마킹과 같은 기술을 바탕으로 통신 시스템, 반도체,
DNA 저장장치, 양자 컴퓨팅의 reliability와 performance를 높이는 연구를 수행합니다.
"Multiple-Masks Error Correction Code Transformer for Short Block Codes", IEEE Journal on Selected Areas in Communications
Paper
"Learning strategies for neural min-sum decoding of LDPC codes", ICT Express
Paper
"Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks", IEEE Journal on Selected Areas in Communications
Award
학부 최우수 논문상, 이주형 학부연구생, "Differential Evolution 기반 Check-Regular LDPC 부호 설계 기법", 2024 한국통신학회 하계종합학술발표회
Award
Prof. Kwak, ICT Express Best Reviewer 수상
Award
Best Paper Award, "이중 마스크 오류정정부호 트랜스포머", 제34회 통신정보 합동학술대회
Paper
"Design of DNA Storage Coding Scheme with LDPC Codes and Interleaving", IEEE Transactions on NanoBioscience
Paper
"PD-GLDPC Codes with Degree-1 Variable Nodes and Multi-Types of Component Codes", IEEE Communications Letters
Paper
"Boosting Learning for LDPC Codes to Improve the Error-Floor Performance", 2023 NeurIPS, New Orleans, USA
Research Areas
Neural ECC Decoder
Transformer-based and neural message-passing decoders that improve reliability for modern error-correcting codes.
RL ECC Construction
Reinforcement learning methods for discovering strong code structures under practical communication constraints.
Quantum Error Correction
Coding and decoding strategies for protecting quantum information against noise and decoherence.
LLM Text Watermark
Robust text watermarking techniques that support responsible deployment and provenance tracking of language models.
AI Image Detection
Learning-based detectors for identifying AI-generated images and protecting media authenticity.
Projects
July 2025 - Jan. 2026
지역 기업을 위한 한국어 특화 AI 사무 자동화 플랫폼AI office automation platform specialized in Korean for local businesses
National Research Foundation of Korea (NRF)
July 2025 - Jan. 2027
대형언어모델의 안전한 산업적 활용을 위한 워터마크 은닉 기술Watermark Hiding Techniques for the Safe Industrial Application of Large Language Models
National Research Foundation of Korea (NRF)
Apr. 2024 - Dec. 2032
무선통신 진화를 위한 고도화 채널 코딩 및 채널 추정 기술 네트워크 연구센터Network Research Center: Advanced channel coding and channel estimation technologies for wireless communication evolution
Institute for Information & Communication Technology Planning & Evaluation (IITP)
June 2023 - May 2026
LDPC 부호의 한계 극복을 통한 응용 분야 확대Expanding the application of LDPC codes by overcoming their limitations
National Research Foundation of Korea (NRF)
June 2021 - Dec. 2024 Finished
SSD를 위한 채널 코딩 및 학습 기반 자원 최적화Channel coding and learning-based resource optimization for SSD
Samsung Electronics
June 2023 - Feb. 2024 Finished
자율주행차 안전성 향상을 위한 AI 기반 신호 설계Designing AI-based signals to enhance the safety of autonomous vehicles
Tbps급 초고속 통신을 위한 초고속 저전력 채널 코딩 기술 연구Research on ultra-high-speed, low-power channel coding technology for terabit-per-second (Tbps) level high-speed communication
Electronics and Telecommunications Research Institute (ETRI)
Apr. 2026
Efficient Message-Passing Transformer for Error Correcting Codes
Seong-Joon Park, Taewoo Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune Kim, and Jong-Seon No ICLR 2026 (Top AI Conference)
Jul. 2025
Multiple-Masks Error Correction Code Transformer for Short Block Codes
Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Sunghwan Kim, Yongjune Kim, and Jong-Seon No IEEE Journal on Selected Areas in Communications (IF: 13.8, JCR-Rank: 1.3%)
Multiple-Masks Error Correction Code Transformer for Short Block Codes
Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Sunghwan Kim, Yongjune Kim, and Jong-Seon No IEEE Journal on Selected Areas in Communications (IF: 13.8, JCR-Rank: 1.3%)
Ju-Hyeong Lee 이주형, 2023.09 - 2025.02, M.S. @xIT Lab
Seok-Young Yun 윤석영, 2023.09 - 2024.09, HD Hyundai Heavy Industries
Yoon-Beom Shim 심윤범, 2023.09 - 2024.09
Hyung-Wook Kwon 권형욱, 2024.06 - 2025.09, M.S. @xIT Lab
Jin-Wook Choi 최진욱, 2024.09 - 2025.09
Seong-Min Lim 임성민, 2020.03 - 2025.12
Memories
JCCI 2026
2026-04-15 ~ 17여수
KICS Winter Conference 2026
2026-02-04 ~ 06용평
NeurIPS 2025
2025-12-02 ~ 07San Diego
KICS Summer Conference 2025
2025-06-18 ~ 2025-06-21제주
Playing Soccer
2025-05-01
KICS Winter Conference 2025
2025-02-05 ~ 07용평
Lab Lunch
2025
KICS Fall Conference 2024
2024-11-20 ~ 22경주
Playing Soccer
2024-11-21
ICTC 2024
2024
KICS Summer Conference 2024
2024-06-19 ~ 2024-06-21제주
Contact
Openings
We are seeking enthusiastic graduate students who are excited to join our research team. If you are
interested in contributing to our innovative projects, please feel free to reach out via email.
저희 연구실에서는 열정을 가지고 함께 연구할 대학원생/학부 인턴을 모집하고 있습니다. 연구에 관심 있으신 분들은
이메일로 연락 주시기 바랍니다.