xIT Lab · University of Ulsan

Reliable Information.
Intelligent Systems.

Next-Generation Information Technology (xIT) Lab.

We develop coding and learning methods for reliable information systems. Our research spans AI-driven error correction, quantum error correction, and trustworthy AI—with applications in communications, data storage, and quantum computing.

INFORMATION · INTELLIGENCE · IMPACTUNIVERSITY OF ULSAN

02 / Inside xIT

Connecting ideas.
Advancing research.

At the University of Ulsan, xIT Lab brings together coding theory, machine learning, and information science to explore how information can be transmitted, stored, and trusted.

We connect theoretical insights with practical algorithms, working across classical and quantum systems. Through shared ideas and collaborative research, we aim to turn fundamental questions into reliable technologies.

03 / Lab updates

Recent News.

Project

"Extension and Advancement of AI-Based Error-Correction Technology for Quantum Error Correction", NRF, 2026.09-2028.08

Project

"On-Site Implementation of an AI Vision Model-Based Real-Time Defect Detection System in Manufacturing Processes", NRF, 2026.07-2026.12

Award

Undergraduate Paper Encouragement Award, Si-Woo Park, "Robust LLM Multi-Bit Watermarking via Dynamic Balanced Allocation", KICS Summer Conference 2026

Press

"Researchers at POSTECH, Seoul National University, and partner institutions develop AI-based channel decoding technology", Read coverage

Paper

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

Award

Undergraduate Paper Encouragement Award, Seong-Min Lim, "Optimizing Puncturing Schemes for 5G Standard LDPC Codes", KICS Fall Conference 2025

Press

"Prof. Sang-Hyo Kim’s team at Sungkyunkwan University develops AI-based error-correcting code technology", Read coverage

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

Undergraduate Paper Encouragement Award, Hyung-Wook Kwon, "Improving Error Correction Code Transformers on BSC and Rayleigh Channels through AWGN Pre-Training", KICS Summer Conference 2025

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

Undergraduate Best Paper Award, Ju-Hyeong Lee, "Designing Check-Regular LDPC Codes Using Differential Evolution", KICS Summer Conference 2024

Award

Prof. Kwak received the ICT Express Best Reviewer Award

Award

Best Paper Award, "Double-Mask Error Correction Code Transformer", 34th Joint Conference on Communications and Information (JCCI)

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