---
title: "Yanping Huang — author profile and papers — Elamur Research"
description: "Yanping Huang, Sun Yat-sen University: 3 papers on Elamur Research (2021–2023), h-index 17 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/yanping-huang/"
---
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# Yanping Huang

Yanping Huang has 3 papers in our library, in 2021–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/), [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/), [Yuanzhong Xu](https://md.research.elamur.ai/free/en/authors/yuanzhong-xu/).

3 papers in our library · 2021–2023

[OpenAlex](https://openalex.org/A5042885341) · [ORCID](https://orcid.org/0000-0002-5972-2855) · [Wikidata](https://www.wikidata.org/wiki/Q112961222) · [**h-index 17**](https://openalex.org/authors/A5042885341) · [189 works](https://openalex.org/works?filter=author.id:A5042885341) · [1,188 citations](https://openalex.org/works?filter=author.id:A5042885341&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yanping-huang/#papers) · [🔗 Cited 698 times in our library](https://md.research.elamur.ai/free/en/authors/yanping-huang/cited-by/) · [⭐ Paper Stars ranking: #2823](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2823)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2021–2026 · 61 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of High Energy Physics** Beijing · China 2012–2026 · 56 papersEmployment*current*](https://ror.org/03v8tnc06) · [🎓**Johannes Gutenberg University Mainz** Mainz · Germany 2024–2026 · 47 papers*current*](https://md.research.elamur.ai/free/en/universities/johannes-gutenberg-university-mainz/) · [🎓**Sun Yat-sen University** Guangzhou · China 2024–2026 · 43 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Charles University** Prague · Czechia 2025–2026 · 26 papers*current*](https://md.research.elamur.ai/free/en/universities/charles-university/) · [🔬**Laboratoire de Physique des 2 Infinis Irène Joliot-Curie** Orsay · France 2026 · 3 papers*current*](https://ror.org/03gc1p724) · [🎓**University of Sheffield** Sheffield · United Kingdom 2024–2025 · 32 papers](https://md.research.elamur.ai/free/en/universities/university-of-sheffield/) · [🎓**University of the Punjab** Lahore · Pakistan 2023–2025 · 5 papers](https://ror.org/011maz450) · [🎓**East China University of Science and Technology** Shanghai · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/east-china-university-of-science-and-technology/) · [🎓**University of Manchester** Manchester · United Kingdom 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-manchester/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 more institutions 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

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

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yanping-huang/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/yanping-huang/year/2022/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/yanping-huang/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[GLaM: Efficient Scaling of Language Models with Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/du-2021-glam-efficient-scaling-language-models/)** *(2021 · 496 citations)* Scaling dense language models such as GPT-3 improves few-shot learning, but the compute and energy needed to train and serve them grow steeply.
2. **[Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning](https://md.research.elamur.ai/free/en/papers/zheng-2022-alpa-automating-inter-intra-operator/)** *(2022 · 279 citations)* Training models with billions of parameters requires combining data, operator and pipeline parallelism. Until now, engineers either designed that combination by hand for a specific model and cluster, as with Megatron-LM's "3D parallelism", or used automatic tools that search only one kind of parallelism. Alpa takes a…
3. **[AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving](https://md.research.elamur.ai/free/en/papers/li-2023-alpaserve-statistical-multiplexing-model-parallelism/)** *(2023 · 170 citations)* AlpaServe asks how to serve many large deep learning models on a shared GPU cluster when request traffic is highly bursty.

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) ×2
- [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/) ×2
- [Yuanzhong Xu](https://md.research.elamur.ai/free/en/authors/yuanzhong-xu/) ×2
- [Zhifeng Chen](https://md.research.elamur.ai/free/en/authors/zhifeng-chen/) ×2
- [Zhuohan Li](https://md.research.elamur.ai/free/en/authors/zhuohan-li/) ×2
- [Adams Wei Yu](https://md.research.elamur.ai/free/en/authors/adams-wei-yu/)
- [Andrew M. Dai](https://md.research.elamur.ai/free/en/authors/andrew-m-dai/)
- [Barret Zoph](https://md.research.elamur.ai/free/en/authors/barret-zoph/)
- [Danyang Zhuo](https://md.research.elamur.ai/free/en/authors/danyang-zhuo/)
- [Dmitry Lepikhin](https://md.research.elamur.ai/free/en/authors/dmitry-lepikhin/)
- [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/)
- [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- OSDI 2023 ×2

## Cited by

Papers of our library cite their works 698 times (of the 149,439 papers whose bibliographies we read); [113 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yanping-huang/cited-by/).

Updated 2 November 2026
