3 citations · 3 across the 7 of their papers we have counts for
8 papers
ZeroCode: On-demand Error-Correcting Code Construction from the Zero Matrix via Reinforcement Learning
Ju-Hyeong Lee, Yongjune Kim, Sang-Hyo Kim +2
Error-correcting codes (ECCs) are essential across diverse applications, from wireless communications and storage to quantum computing, yet each application imposes distinct design…
WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading
Gang-Hyun Park, Ju-Hyeong Lee, Hee-Youl Kwak +1
Multi-bit watermarking for large language models enables content source tracing by embedding user-identifiable messages into generated text. Existing methods face a fundamental tra…
Logical Neural Belief Propagation for Linear-Complexity Decoding of Surface Codes
Hee-Youl Kwak, Seong-Joon Park, Dae-Young Yun +2
Quantum error correction (QEC) requires accurate and efficient decoders, yet belief propagation (BP), despite its linear decoding complexity, often provides insufficient logical ac…
Spectral-Aligned Pruning for Universal Error-Correcting Code Transformers
Sanghyeon Cho, Taewoo Park, Seong-Joon Park +4
Universal channel decoders based on transformers-such as the Foundation Error Correction Code Transformer (FECCT)-achieve competitive decoding performance across diverse code famil…
Design of Outage-Limit-Approaching Protograph LDPC Codes via Generalized Rootchecks
Inki Kim, Hyuntae Ahn, Yongjune Kim +3
This paper presents a new protograph-based LDPC code design framework that simultaneously achieves full diversity over block-fading channels (BFCs) and near-capacity performance ov…
Neural Window Decoder for SC-LDPC Codes
Dae-Young Yun, Hee-Youl Kwak, Yongjune Kim +2
In this paper, we propose a neural window decoder (NWD) for spatially coupled low-density parity-check (SC-LDPC) codes. The proposed NWD retains the conventional window decoder (WD…
Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks
Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim +2
Ensuring extremely high reliability in channel coding is essential for 6G networks. The next-generation of ultra-reliable and low-latency communications (xURLLC) scenario within 6G…
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim +2
Low-density parity-check (LDPC) codes have been successfully commercialized in communication systems due to their strong error correction capabilities and simple decoding process.…