---
title: "Xiaoda Zhang — author profile and papers — Elamur Research"
description: "Xiaoda Zhang, Liaoning Technical University: 2 papers on Elamur Research (2021–2023), h-index 5 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/xiaoda-zhang/"
---
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# Xiaoda Zhang

Xiaoda Zhang has 2 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 [Xiaozhe Ren](https://md.research.elamur.ai/free/en/authors/xiaozhe-ren/), [Chen Li](https://md.research.elamur.ai/free/en/authors/chen-li/), [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/).

2 papers in our library · 2021–2023

[OpenAlex](https://openalex.org/A5015232078) · [ORCID](https://orcid.org/0000-0002-6581-6399) · [**h-index 5**](https://openalex.org/authors/A5015232078) · [29 works](https://openalex.org/works?filter=author.id:A5015232078) · [169 citations](https://openalex.org/works?filter=author.id:A5015232078&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaoda-zhang/#papers) · [🔗 Cited 105 times in our library](https://md.research.elamur.ai/free/en/authors/xiaoda-zhang/cited-by/) · [⭐ Paper Stars ranking: #6457](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6457)

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

## Affiliations

[🎓**Liaoning Technical University** Fuxin · China 2025 · 1 paper*current*](https://ror.org/01n2bd587) · [🎓**Nanjing University** Nanjing · China 2014–2020 · 10 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**University of Science and Technology Beijing** Beijing · China 2014–2015 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/) · [🏢**Huawei Technologies** Shenzhen · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**National University of Defense Technology** Changsha · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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/xiaoda-zhang/year/2023/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaoda-zhang/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation](https://md.research.elamur.ai/free/en/papers/zeng-2021-pangu-alpha-large-scale/)** *(2021 · 161 citations)* GPT-3 showed that huge autoregressive models can solve many tasks from only a few examples, or none. However, it was trained mainly on English and is reachable only through a restricted API. This technical report presents PanGu-α, a family of Chinese autoregressive language models scaling up to 200 billion…
2. **[PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing](https://md.research.elamur.ai/free/en/papers/ren-2023-pangu-sigma-trillion-parameter/)** *(2023 · 40 citations)* PanGu-Σ is a Huawei technical report on training a trillion-parameter language model on limited hardware. Sparse Mixture-of-Experts models usually suffer from unbalanced expert load and costly all-to-all communication, and offloading work to the host CPU tends to reduce throughput. The authors start from PanGu-α…

## Co-authors here

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

- [Xiaozhe Ren](https://md.research.elamur.ai/free/en/authors/xiaozhe-ren/) ×2
- [Chen Li](https://md.research.elamur.ai/free/en/authors/chen-li/)
- [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/)
- [Irina Piontkovskaya](https://md.research.elamur.ai/free/en/authors/irina-piontkovskaya/)
- [Pengfei Li](https://md.research.elamur.ai/free/en/authors/pengfei-li/)
- [Teng Su](https://md.research.elamur.ai/free/en/authors/teng-su/)
- [Xin Jiang](https://md.research.elamur.ai/free/en/authors/xin-jiang/)

## Cited by

Papers of our library cite their works 105 times (of the 149,439 papers whose bibliographies we read); [38 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaoda-zhang/cited-by/).

Updated 1 November 2026
