--- title: "Xiaozhe Ren · Huawei Technologies — author profile and papers" description: "Xiaozhe Ren, Huawei Technologies: 2 papers on Elamur Research (2021–2023), h-index 11 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xiaozhe-ren/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaozhe-ren/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaozhe Ren # Xiaozhe Ren Xiaozhe Ren 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 [Xiaoda Zhang](https://md.research.elamur.ai/free/en/authors/xiaoda-zhang/), [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/A5079912837) · [ORCID](https://orcid.org/0000-0002-0432-5510) · [Wikidata](https://www.wikidata.org/wiki/Q130835400) · [**h-index 11**](https://openalex.org/authors/A5079912837) · [30 works](https://openalex.org/works?filter=author.id:A5079912837) · [530 citations](https://openalex.org/works?filter=author.id:A5079912837&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaozhe-ren/#papers) · [🔗 Cited 105 times in our library](https://md.research.elamur.ai/free/en/authors/xiaozhe-ren/cited-by/) · [⭐ Paper Stars ranking: #5683](https://md.research.elamur.ai/free/en/paper-stars/page/57/#star-5683) 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=Xiaozhe+Ren) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaozhe+Ren) · [dblp](https://dblp.org/search?q=Xiaozhe+Ren) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaozhe+Ren) ## Affiliations [🏢**Huawei Technologies** Shenzhen · China 2019–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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/xiaozhe-ren/year/2023/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaozhe-ren/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. - [Xiaoda Zhang](https://md.research.elamur.ai/free/en/authors/xiaoda-zhang/) ×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); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaozhe-ren/cited-by/). Updated 1 November 2026