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researcher

X. Yao

5 papers hereh-index 455 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • eess.SP1
same name
  • X. Yao — 22 papers, h 17
  • X. Yao — 14 papers, h 5
  • X. Yao — 12 papers, h 99
  • X. Yao — 12 papers, h 17
  • X. Yao — 7 papers, h 24
  • X. Yao — 4 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedSystematic Convolutional Low Density Generator Matrix Code

3 citations · 3 across the 1 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2026

Polar Complexity: A New Descriptive Complexity with Applications to Source and Joint Source-Channel Coding

Xinyuanmeng Yao, Xiao Ma

This paper first presents a new approach to evaluating the descriptive complexity of finite-length binary sequences. Specifically, we investigate the sequence-wise recovery behavio…

cs.IT2026

Capacity-Achieving BBT Polar Codes with Interleaver-Assisted BP Decoding

Xinyuanmeng Yao, Xiao Ma

In this paper, we introduce a binary balanced tree (BBT) channel transformation that extends Arıkan's channel transformation to arbitrary block lengths. We prove that the proposed…

cs.IT2024

Low-Complexity PSCL Decoding of Polar Codes

Xinyuanmeng Yao, Xiao Ma

Successive cancellation list (SCL) decoding enables polar codes and their generalizations to deliver satisfactory performance in finite-length scenarios but it comes with high late…

cs.IT2020★ 3 cited

Systematic Convolutional Low Density Generator Matrix Code

Suihua Cai, Wenchao Lin, Xinyuanmeng Yao +2

In this paper, we propose a systematic low density generator matrix (LDGM) code ensemble, which is defined by the Bernoulli process. We prove that, under maximum likelihood (ML) de…

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