activity
20232026
most citedBoosting Learning for LDPC Codes to Improve the Error-Floor Performance

3 citations · 4 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IT2026

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…

cs.IT2026

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…

cs.IT2026

5G LDPC Codes as Root LDPC Codes via Diversity Alignment

Hyuntae Ahn, Inki Kim, Hee-Youl Kwak +3

This paper studies the diversity of protographbased quasi-cyclic low-density parity-check (QC-LDPC) codes over nonergodic block-fading channels under iterative beliefpropagation de…

cs.IT2025

Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks

Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim +2

Channel coding for 6G networks is expected to support a wide range of requirements arising from heterogeneous communication scenarios. These demands challenge traditional code-spec…

cs.IT2025

Lowering the Error Floor of Error Correction Code Transformer

Taewoo Park, Seong-Joon Park, Hee-Youl Kwak +2

With the success of transformer architectures across diverse applications, the error correction code transformer (ECCT) has gained significant attention for its superior decoding p…

cs.LG2024

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…

cs.IT2024

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…

cs.LG2024★ 1 cited

CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes

Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim +2

Error correcting codes (ECCs) are indispensable for reliable transmission in communication systems. The recent advancements in deep learning have catalyzed the exploration of ECC d…

cs.IT2023★ 3 cited

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.…