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Jong-Seon No

4 accepted papers

2026

Efficient Message-Passing Transformer for Error Correcting Codes

ICLR 2026poster

Error correcting codes (ECCs) are a fundamental technique for ensuring reliable communication over noisy channels. Recent advances in deep learning have enabled transformer-based decoders to achieve state-of-the-art performance on short codes; however, their computational complexity remains signific…

Cited by 0SourcecodeScholar
2025

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

ICLR 2025poster

Error correcting codes (ECCs) are indispensable for reliable transmission in communication systems. Recent advancements in deep learning have catalyzed the exploration of ECC decoders based on neural networks. Among these, transformer-based neural decoders have achieved state-of-the-art decoding per…

Cited by 6SourcePDFScholar
2023

Boosting Learning for LDPC Codes to Improve the Error-Floor Performance

NeurIPS 2023poster

Low-density parity-check (LDPC) codes have been successfully commercialized in communication systems due to their strong error correction capabilities and simple decoding process. However, the error-floor phenomenon of LDPC codes, in which the error rate stops decreasing rapidly at a certain level,…

2022

Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions

ICML 2022spotlight

Recently, the standard ResNet-20 network was successfully implemented on the fully homomorphic encryption scheme, residue number system variant Cheon-Kim-Kim-Song (RNS-CKKS) scheme using bootstrapping, but the implementation lacks practicality due to high latency and low security level. To improve t…

Cited by 166SourcePDFScholar