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20242026
most citedVision Transformer-based Semantic Communications With Importance-Aware Quantization

1 citations · 1 across the 4 of their papers we have counts for

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5 papers

eess.SP2026

Context-Aware Iterative Token Detection and Masked Transmission for Wireless Token Communication

Junyong Shin, Joohyuk Park, Jihong Park +2

The success of large-scale language models has established tokens as compact and meaningful units for natural-language representation, which motivates token communication over wire…

eess.SP2025

Importance-Aware Semantic Communication in MIMO-OFDM Systems Using Vision Transformer

Joohyuk Park, Yongjeong Oh, Jihun Park +1

This paper presents a novel importance-aware quantization, subcarrier mapping, and power allocation (IA-QSMPA) framework for semantic communication in multiple-input multiple-outpu…

eess.SP2025

ESC-MVQ: End-to-End Semantic Communication With Multi-Codebook Vector Quantization

Junyong Shin, Yongjeong Oh, Jinsung Park +2

This paper proposes a novel end-to-end digital semantic communication framework based on multi-codebook vector quantization (VQ), referred to as ESC-MVQ. Unlike prior approaches th…

eess.SP2025

Blind Training for Channel-Adaptive Digital Semantic Communications

Yongjeong Oh, Joohyuk Park, Jinho Choi +2

Semantic encoders and decoders for digital semantic communication (SC) often struggle to adapt to variations in unpredictable channel environments and diverse system designs. To ad…

eess.SP20241 cited

Vision Transformer-based Semantic Communications With Importance-Aware Quantization

Joohyuk Park, Yongjeong Oh, Yongjune Kim +1

Semantic communications provide significant performance gains over traditional communications by transmitting task-relevant semantic features through wireless channels. However, mo…