1 citations · 3 across the 11 of their papers we have counts for
12 papers
Iterative Semantic Decoding for Short Block Codes
Jiafu Hao, Chentao Yue, Mingcheng Nie +2
This paper proposes an iteratively enhanced semantic receiver for natural-language text transmission over noisy wireless channels using multiple short block codes. At the transmitt…
Semantic Error Control Coding with Foundation Models for Future Communications
Chentao Yue, Gaoyang Pang, Branka Vucetic +1
Classical channel decoding typically treats all information sequences as equally likely and relies primarily on the channel observations and code structure, without exploiting stat…
Semantic-Aided Iterative Decoding for Uplink Non-Orthogonal Transmission
Wenjing Wei, Chentao Yue, Branka Vucetic +1
This paper proposes semantic-aided iterative decoding (Sem-IR) for uplink non-orthogonal transmission of a shared natural-language source. K users each hold one segment of a common…
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…
Medical Referring Image Segmentation via Next-Token Mask Prediction
Xinyu Chen, Yiran Wang, Gaoyang Pang +4
Medical Referring Image Segmentation (MRIS) involves segmenting target regions in medical images based on natural language descriptions. While achieving promising results, recent a…
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…
Optimal Linear MAP Decoding of Convolutional Codes
Yonghui Li, Chentao Yue, Branka Vucetic
In this paper, we propose a linear representation of BCJR maximum a posteriori probability (MAP) decoding of a rate 1/2 convolutional code (CC), referred to as the linear MAP decod…
GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approach
Kou Tian, Chentao Yue, Changyang She +2
This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code des…
Half a Century of Distributed Byzantine Fault-Tolerant Consensus: Design Principles and Evolutionary Pathways
Huanyu Wu, Chentao Yue, Yixuan Fan +2
The concept of distributed consensus originated in the 1970s and gained widespread attention following Leslie Lamport's influential publication on the Byzantine Generals Problem in…
When Distributed Consensus Meets Wireless Connected Autonomous Systems: A Review and A DAG-based Approach
Huanyu Wu, Chentao Yue, Lei Zhang +2
The connected and autonomous systems (CAS) and auto-driving era is coming into our life. To support CAS applications such as AI-driven decision-making and blockchain-based smart da…