---
title: "Pengcheng Yang — author profile and papers"
description: "Pengcheng Yang, Huaqiao University: 2 papers on Elamur Research (2018–2019), h-index 14 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/pengcheng-yang/"
---
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# Pengcheng Yang

2 papers on this site · 2018–2019

current affiliation [Huaqiao University](https://ror.org/03frdh605), Xiamen, China; [National University of Defense Technology](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/), Changsha, China; [Harbin Institute of Technology](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/), Harbin, China; [Xi'an Polytechnic University](https://ror.org/03442p831), Xi'an, China; [Urumqi General Hospital of PLA](https://ror.org/03ybgf406), Ürümqi, China

Pengcheng Yang has 2 papers on this site, in 2018–2019; often with [Xu Sun](https://md.research.elamur.ai/free/en/authors/xu-sun/), [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/), [Houfeng Wang](https://md.research.elamur.ai/free/en/authors/houfeng-wang/).

[OpenAlex](https://openalex.org/A5063385901) · [ORCID](https://orcid.org/0000-0001-8671-9523) · [**h-index 14**](https://openalex.org/authors/A5063385901) · [44 works](https://openalex.org/works?filter=author.id:A5063385901) · [695 citations](https://openalex.org/works?filter=author.id:A5063385901&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/pengcheng-yang/#papers) · [218 citations in our library](https://md.research.elamur.ai/free/en/authors/pengcheng-yang/cited-by/) · 1 more work in our library

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Pengcheng+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pengcheng+Yang) · [dblp](https://dblp.org/search?q=Pengcheng+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Pengcheng+Yang)

## Affiliations

- [Harbin Institute of Technology](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · Harbin, China —current · 2025 on 1 paper
- [Huaqiao University](https://ror.org/03frdh605) · Xiamen, China —current · 2025 on 1 paper
- [National University of Defense Technology](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · Changsha, China —current · 2025 on 1 paper
- [Urumqi General Hospital of PLA](https://ror.org/03ybgf406) · Ürümqi, China —current · 2025 on 1 paper
- [Xi'an Polytechnic University](https://ror.org/03442p831) · Xi'an, China —current · 2025 on 1 paper
- [Peking University](https://md.research.elamur.ai/free/en/universities/peking-university/) · Beijing, China —2016–2023 on 27 papers
- [Beijing Institute of Big Data Research](https://ror.org/00s1sz824) · Beijing, China —2018–2019 on 9 papers
- [Nanjing University of Aeronautics and Astronautics](https://ror.org/01scyh794) · Nanjing, China —2013–2014 on 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

## Works by year

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/papers/luo-2019-dual-reinforcement-learning-framework-unsupervised/) · [**2018** 1 paper](https://md.research.elamur.ai/free/en/papers/yang-2018-sgm-sequence-generation-model-multi/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer](https://md.research.elamur.ai/free/en/papers/luo-2019-dual-reinforcement-learning-framework-unsupervised/)** *(2019 · 265 citations)* The paper addresses unsupervised text style transfer: rewriting a sentence into another style, such as positive to negative sentiment or informal to formal, without parallel data.
2. **[SGM: Sequence Generation Model for Multi-label Classification](https://md.research.elamur.ai/free/en/papers/yang-2018-sgm-sequence-generation-model-multi/)** *(2018 · 145 citations)* Multi-label classification (MLC) assigns several labels to one text. Common approaches such as binary relevance predict each label independently, and earlier neural models rarely account for the fact that different words matter for different labels. Yang et al. recast MLC as generating a sequence of labels. Their SGM…

## Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

## Co-authors here

9 co-authors with a page, the most papers together first.

- [Xu Sun](https://md.research.elamur.ai/free/en/authors/xu-sun/) ×2
- [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/)
- [Houfeng Wang](https://md.research.elamur.ai/free/en/authors/houfeng-wang/)
- [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/)
- [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/)
- [Shuming Ma](https://md.research.elamur.ai/free/en/authors/shuming-ma/)
- [Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/)
- [Wei Wu](https://md.research.elamur.ai/free/en/authors/wei-wu/)
- [Zhifang Sui](https://md.research.elamur.ai/free/en/authors/zhifang-sui/)

## Cited by

Papers of our library cite their works 218 times (of the 140 884 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pengcheng-yang/cited-by/).
