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.

Recent News

Press

"포스텍·서울대 등 연구팀, AI 기반 채널 복호기 기술 개발", 뉴시스 보도

Paper

"Efficient Message-Passing Transformer for Error Correcting Codes", 2026 ICLR, Rio, Brazil

Award

학부 논문상 장려상, 임성민 학부연구생, "5G 표준 LDPC 부호의 puncturing 기법 최적화", 2025 한국통신학회 추계종합학술발표회

Press

"성균관대 김상효 교수 연구팀, AI 기반 오류정정부호 기술 개발", 뉴시스 보도

Project

"Watermark Hiding Techniques for the Safe Industrial Application of Large Language Models", RISE, NRF, 2025.07-2026.01

Project

"AI office automation platform specialized in Korean for local businesses", RISE, NRF, 2025.07-2026.01

Award

학부 논문상 장려상, 권형욱 학부연구생, "AWGN channel에서의 pre-training을 활용한 BSC 및 Rayleigh 채널에서 Error Correction Code Transformer의 성능 개선", 2025 한국통신학회 하계종합학술발표회

Member

Professor Yun joined our lab.

Paper

"CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes", 2025 ICLR, Singapore

Paper

"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