67 citations · 73 across the 22 of their papers we have counts for
4 papers · 1 filter
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…
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…