--- title: "Mingyu Xu · Nanjing Tech University — author profile and papers" description: "Mingyu Xu, Nanjing Tech University: 3 papers on Elamur Research (2024–2025), h-index 4 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/mingyu-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mingyu-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mingyu Xu # Mingyu Xu Mingyu Xu has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Bingning Wang](https://md.research.elamur.ai/free/en/authors/bingning-wang/), [Hongyu Lin](https://md.research.elamur.ai/free/en/authors/hongyu-lin/), [Qingyu Zhang](https://md.research.elamur.ai/free/en/authors/qingyu-zhang/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5018995861) · [ORCID](https://orcid.org/0009-0007-6347-0551) · [**h-index 4**](https://openalex.org/authors/A5018995861) · [10 works](https://openalex.org/works?filter=author.id:A5018995861) · [80 citations](https://openalex.org/works?filter=author.id:A5018995861&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/mingyu-xu/#papers) · [🔗 Cited 150 times in our library](https://md.research.elamur.ai/free/en/authors/mingyu-xu/cited-by/) · [⭐ Paper Stars ranking: #5640](https://md.research.elamur.ai/free/en/paper-stars/page/57/#star-5640) 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=Mingyu+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mingyu+Xu) · [dblp](https://dblp.org/search?q=Mingyu+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Mingyu+Xu) ## Affiliations [🎓**Nanjing Tech University** Nanjing · China 2025–2026 · 4 papers*current*](https://ror.org/03sd35x91) · [🏢**Baichuan** Beijing · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/baichuan/) · [🏢**State Grid Corporation of China** Beijing · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) 🧭 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 [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/mingyu-xu/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/mingyu-xu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[ShortGPT: Layers in Large Language Models are More Redundant Than You Expect](https://md.research.elamur.ai/free/en/papers/men-2024-shortgpt-layers-large-language-models/)** *(2024 · 170 citations)* Modern LLMs are expensive to deploy, and many existing pruning techniques are complicated, for example those that require gradients. 2. **[Baichuan-M1: Pushing the Medical Capability of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-baichuan-m1-pushing-medical/)** *(2025 · 24 citations)* General-purpose LLMs often lack depth in medicine, where knowledge is specialized and good training data is scarce. 3. **[Base of RoPE Bounds Context Length](https://md.research.elamur.ai/free/en/papers/men-2024-base-rope-bounds-context/)** *(2024 · 12 citations)* RoPE is the standard position encoding in many LLMs, and context windows are usually extended by changing its single hyperparameter, the base. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Bingning Wang](https://md.research.elamur.ai/free/en/authors/bingning-wang/) ×3 - [Hongyu Lin](https://md.research.elamur.ai/free/en/authors/hongyu-lin/) ×2 - [Qingyu Zhang](https://md.research.elamur.ai/free/en/authors/qingyu-zhang/) ×2 - [Weipeng Chen](https://md.research.elamur.ai/free/en/authors/weipeng-chen/) ×2 - [Xianpei Han](https://md.research.elamur.ai/free/en/authors/xianpei-han/) ×2 - [Xin Men](https://md.research.elamur.ai/free/en/authors/xin-men/) ×2 - [Da Pan](https://md.research.elamur.ai/free/en/authors/da-pan/) - [Wei Cheng](https://md.research.elamur.ai/free/en/authors/wei-cheng/) - [Xiangrong Zeng](https://md.research.elamur.ai/free/en/authors/xiangrong-zeng/) - [Yaojie Lu](https://md.research.elamur.ai/free/en/authors/yaojie-lu/) - [Yuqi Huo](https://md.research.elamur.ai/free/en/authors/yuqi-huo/) ## Cited by Papers of our library cite their works 150 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mingyu-xu/cited-by/). Updated 1 November 2026