1 citations · 1 across the 3 of their papers we have counts for
6 papers
Semantic Ordered Statistics Decoding
Chentao Yue, Branka Vucetic, Yonghui Li
We propose a Semantic Ordered Statistics Decoder (sem-OSD), a soft decoder for short linear block codes carrying byte-streamed sources such as natural-language text. Sem-OSD inject…
Semantic Error Correction and Decoding for Short Block Codes
Jiafu Hao, Chentao Yue, Wanchun Liu +2
This paper presents a semantic-enhanced receiver framework for transmitting natural language sentences over noisy wireless channels using multiple short block codes. After ASCII en…
LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes
Zhengtong Li, Chentao Yue, Jiafu Hao +2
Traditional wireless communications rely solely on bit-level channel coding for error correction, without exploiting the inherent linguistic structure of the data source. This pape…
Toward Wireless Human-Machine Collaboration in the 6G Era
Gaoyang Pang, Wanchun Liu, Chentao Yue +4
The next industrial revolution, Industry 5.0, will be driven by advanced technologies that foster human-machine collaboration (HMC). It will leverage human creativity, judgment, an…
Policy-Guided MCTS for near Maximum-Likelihood Decoding of Short Codes
Y. Tian, C. Yue, P. Cheng +3
In this paper, we propose a policy-guided Monte Carlo Tree Search (MCTS) decoder that achieves near maximum-likelihood decoding (MLD) performance for short block codes. The MCTS de…
Short Wins Long: Short Codes with Language Model Semantic Correction Outperform Long Codes
Jiafu Hao, Chentao Yue, Hao Chang +2
This paper presents a novel semantic-enhanced decoding scheme for transmitting natural language sentences with multiple short block codes over noisy wireless channels. After ASCII…