5 papers
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…
A Survey on Robust Deep Joint Source-Channel Coding for Semantic Communications
Eunhye Hong, Taewoo Park, Yongjune Kim
Semantic communications (SCs) aim to transmit only the essential information required to perform given tasks, thereby improving communication efficiency. Deep learning-based joint…
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…
Quantizing for Noisy Flash Memory Channels
Juyun Oh, Taewoo Park, Jiwoong Im +2
Flash memory-based processing-in-memory (flash-based PIM) offers high storage capacity and computational efficiency but faces significant reliability challenges due to noise in hig…
Robust Deep Joint Source Channel Coding for Task-Oriented Semantic Communications
Taewoo Park, Eunhye Hong, Yo-Seb Jeon +2
Semantic communications based on deep joint source-channel coding (JSCC) aim to improve communication efficiency by transmitting only task-relevant information. However, ensuring r…