--- title: "Zhaoxiang Liu — author profile and papers — Elamur Research" description: "Zhaoxiang Liu, China United Network Communications Group: 2 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zhaoxiang-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhaoxiang-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhaoxiang Liu # Zhaoxiang Liu Zhaoxiang Liu has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Kai Wang](https://md.research.elamur.ai/free/en/authors/kai-wang/), [Ning Wang](https://md.research.elamur.ai/free/en/authors/ning-wang/), [Shiguo Lian](https://md.research.elamur.ai/free/en/authors/shiguo-lian/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5003594074) · [ORCID](https://orcid.org/0000-0001-5780-0103) · [**h-index 1**](https://openalex.org/authors/A5003594074) · [8 works](https://openalex.org/works?filter=author.id:A5003594074) · [6 citations](https://openalex.org/works?filter=author.id:A5003594074&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhaoxiang-liu/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/zhaoxiang-liu/cited-by/) · [⭐ Paper Stars ranking: #11328](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11328) 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=Zhaoxiang+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhaoxiang+Liu) · [dblp](https://dblp.org/search?q=Zhaoxiang+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Zhaoxiang+Liu) ## Affiliations [🏢**China United Network Communications Group** Beijing · China 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/china-united-network-communications-group/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhaoxiang-liu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhaoxiang-liu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Methodology of Adapting Large English Language Models for Specific Cultural Contexts](https://md.research.elamur.ai/free/en/papers/zhang-2024-methodology-adapting-large-english-language/)** *(2024 · 2 citations)* Leading LLMs are trained mostly on English, so they lack local knowledge and can clash with local values when used in another culture. 2. **[Mixture of Heterogeneous Grouped Experts for Language Modeling](https://md.research.elamur.ai/free/en/papers/ma-2026-mixture-heterogeneous-grouped-experts-language/)** *(2026)* Standard Mixture-of-Experts (MoE) language models use experts of one fixed size, so every token receives the same compute regardless of how hard it is to predict. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Kai Wang](https://md.research.elamur.ai/free/en/authors/kai-wang/) ×2 - [Ning Wang](https://md.research.elamur.ai/free/en/authors/ning-wang/) ×2 - [Shiguo Lian](https://md.research.elamur.ai/free/en/authors/shiguo-lian/) ×2 - [Shuming Shi](https://md.research.elamur.ai/free/en/authors/shuming-shi/) - [Xiang Liu](https://md.research.elamur.ai/free/en/authors/xiang-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/zhaoxiang-liu/cited-by/). Updated 1 November 2026