--- title: "Xuemiao Zhang · Peking University — author profile and papers" description: "Xuemiao Zhang, Peking University: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/xuemiao-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuemiao-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuemiao Zhang # Xuemiao Zhang Xuemiao Zhang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Can Ren](https://md.research.elamur.ai/free/en/authors/can-ren/), [Chengying Tu](https://md.research.elamur.ai/free/en/authors/chengying-tu/), [Hongfei Yan](https://md.research.elamur.ai/free/en/authors/hongfei-yan/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5002904626) · [**h-index 5**](https://openalex.org/authors/A5002904626) · [19 works](https://openalex.org/works?filter=author.id:A5002904626) · [132 citations](https://openalex.org/works?filter=author.id:A5002904626&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xuemiao-zhang/#papers) · [⭐ Paper Stars ranking: #14029](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14029) 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=Xuemiao+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuemiao+Zhang) · [dblp](https://dblp.org/search?q=Xuemiao+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Xuemiao+Zhang) ## Affiliations [🎓**Peking University** Beijing · China 2018–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Meituan** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/meituan/) · [🏥**Chinese PLA General Hospital** Beijing · China 2021–2025 · 4 papers](https://ror.org/04gw3ra78) · [🏛️**Chinese People's Liberation Army** Beijing · China 2021–2023 · 2 papers](https://ror.org/05tf9r976) · [🎓**Jinzhou Medical University** Jinzhou · China 2021–2023 · 2 papers](https://ror.org/02yd1yr68) · [🔬**Academy of Military Medical Sciences** Beijing · China 2021–2022 · 2 papers](https://ror.org/02bv3c993) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 5 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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 · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xuemiao-zhang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large-Scale Diverse Synthesis for Mid-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-large-scale-diverse-synthesis-mid/)** *(2026)* Mid-training large language models often relies on synthetic question–answer data. However, existing generators mostly reformat source text into simple, uniform QA pairs, which limits both volume and variety. The authors present BoostQA, a pipeline that first diagnoses what a pre-trained model lacks and then… 2. **[LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points](https://md.research.elamur.ai/free/en/papers/zhang-2026-linkqa-synthesizing-diverse-qa-multiple/)** *(2026)* Training LLMs is increasingly limited by a shortage of diverse, high-quality data, especially across many academic disciplines. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Can Ren](https://md.research.elamur.ai/free/en/authors/can-ren/) ×2 - [Chengying Tu](https://md.research.elamur.ai/free/en/authors/chengying-tu/) ×2 - [Hongfei Yan](https://md.research.elamur.ai/free/en/authors/hongfei-yan/) ×2 - [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/) ×2 - [Rongxiang Weng](https://md.research.elamur.ai/free/en/authors/rongxiang-weng/) ×2 - [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/) ×2 ## 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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 2 November 2026