---
title: "Yanghua Peng · ByteDance — author profile and papers"
description: "Yanghua Peng, ByteDance: 2 papers on Elamur Research (2024), h-index 15 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yanghua-peng/"
---
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# Yanghua Peng

Yanghua Peng has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Haibin Lin](https://md.research.elamur.ai/free/en/authors/haibin-lin/), [Chi Zhang](https://md.research.elamur.ai/free/en/authors/chi-zhang/), [Chuan Wu](https://md.research.elamur.ai/free/en/authors/chuan-wu/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5013856812) · [ORCID](https://orcid.org/0000-0003-3989-4358) · [Wikidata](https://www.wikidata.org/wiki/Q130804656) · [**h-index 15**](https://openalex.org/authors/A5013856812) · [36 works](https://openalex.org/works?filter=author.id:A5013856812) · [1,559 citations](https://openalex.org/works?filter=author.id:A5013856812&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yanghua-peng/#papers) · [🔗 Cited 817 times in our library](https://md.research.elamur.ai/free/en/authors/yanghua-peng/cited-by/) · [⭐ Paper Stars ranking: #3192](https://md.research.elamur.ai/free/en/paper-stars/page/32/#star-3192)

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=Yanghua+Peng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yanghua+Peng) · [dblp](https://dblp.org/search?q=Yanghua+Peng) · [ACL Anthology](https://aclanthology.org/search/?q=Yanghua+Peng)

## Affiliations

[🏢**ByteDance** Beijing · China 2019–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2017–2022 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/yanghua-peng/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[HybridFlow: A Flexible and Efficient RLHF Framework](https://md.research.elamur.ai/free/en/papers/sheng-2024-hybridflow-flexible-efficient-rlhf-framework/)** *(2024 · 624 citations)* RLHF for large language models chains together several large networks across generation, preparation and training stages, with the typical set being the actor and critic alongside a reward model and a reference policy.
2. **[MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs](https://md.research.elamur.ai/free/en/papers/jiang-2024-megascale-scaling-large-language-model/)** *(2024 · 157 citations)* When an LLM training job takes over a whole cluster of tens of thousands of GPUs, two engineering problems dominate.

## Co-authors here

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

- [Haibin Lin](https://md.research.elamur.ai/free/en/authors/haibin-lin/) ×2
- [Chi Zhang](https://md.research.elamur.ai/free/en/authors/chi-zhang/)
- [Chuan Wu](https://md.research.elamur.ai/free/en/authors/chuan-wu/)
- [Xiang Li](https://md.research.elamur.ai/free/en/authors/xiang-li/)
- [Xibin Wu](https://md.research.elamur.ai/free/en/authors/xibin-wu/)
- [Yinmin Zhong](https://md.research.elamur.ai/free/en/authors/yinmin-zhong/)
- [Zhi Zhang](https://md.research.elamur.ai/free/en/authors/zhi-zhang/)
- [Ziheng Jiang](https://md.research.elamur.ai/free/en/authors/ziheng-jiang/)

## Cited by

Papers of our library cite their works 817 times (of the 149,439 papers whose bibliographies we read); [251 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yanghua-peng/cited-by/).

Updated 2 November 2026
