--- title: "Qingyu Zhang · Institute of Software — author profile and papers" description: "Qingyu Zhang, Institute of Software: 2 papers on Elamur Research (2024), h-index 2 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/qingyu-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qingyu-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qingyu Zhang # Qingyu Zhang Qingyu Zhang has 2 papers in our library, in 2024, 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/), [Mingyu Xu](https://md.research.elamur.ai/free/en/authors/mingyu-xu/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5087307843) · [ORCID](https://orcid.org/0009-0009-4422-3971) · [**h-index 2**](https://openalex.org/authors/A5087307843) · [11 works](https://openalex.org/works?filter=author.id:A5087307843) · [61 citations](https://openalex.org/works?filter=author.id:A5087307843&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qingyu-zhang/#papers) · [🔗 Cited 130 times in our library](https://md.research.elamur.ai/free/en/authors/qingyu-zhang/cited-by/) · [⭐ Paper Stars ranking: #6680](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6680) 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=Qingyu+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qingyu+Zhang) · [dblp](https://dblp.org/search?q=Qingyu+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Qingyu+Zhang) ## Affiliations [🔬**Institute of Software** Beijing · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-software/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) 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/) · [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 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 [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/qingyu-zhang/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 · 169 citations)* Modern LLMs are expensive to deploy, and many existing pruning techniques are complicated, for example those that require gradients. 2. **[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 7 co-authors with a page, the most papers together first. - [Bingning Wang](https://md.research.elamur.ai/free/en/authors/bingning-wang/) ×2 - [Hongyu Lin](https://md.research.elamur.ai/free/en/authors/hongyu-lin/) ×2 - [Mingyu Xu](https://md.research.elamur.ai/free/en/authors/mingyu-xu/) ×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 - [Yaojie Lu](https://md.research.elamur.ai/free/en/authors/yaojie-lu/) ## Cited by Papers of our library cite their works 130 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qingyu-zhang/cited-by/). Updated 30 October 2026