--- title: "Yuwei Fan — author profile and papers — Elamur Research" description: "Yuwei Fan: 2 papers on Elamur Research (2026), h-index 16 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yuwei-fan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuwei-fan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuwei Fan # Yuwei Fan Yuwei Fan 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/); often with [Chao Xue](https://md.research.elamur.ai/free/en/authors/chao-xue/), [Pengyu Wang](https://md.research.elamur.ai/free/en/authors/pengyu-wang/), [Wei Shao](https://md.research.elamur.ai/free/en/authors/wei-shao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5032790636) · [ORCID](https://orcid.org/0000-0001-9566-6996) · [**h-index 16**](https://openalex.org/authors/A5032790636) · [45 works](https://openalex.org/works?filter=author.id:A5032790636) · [892 citations](https://openalex.org/works?filter=author.id:A5032790636&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuwei-fan/#papers) · 🔗 Cited 3 times in our library · [⭐ Paper Stars ranking: #10790](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10790) 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=Yuwei+Fan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuwei+Fan) · [dblp](https://dblp.org/search?q=Yuwei+Fan) · [ACL Anthology](https://aclanthology.org/search/?q=Yuwei+Fan) ## Affiliations [🎓**Stanford University** Stanford · United States 2018–2023 · 21 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Peking University** Beijing · China 2011–2017 · 13 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Huawei Technologies** Shenzhen · China 2021–2026 · 6 papers](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 6 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/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yuwei-fan/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-token-length-step-pruner/)** *(2026 · 2 citations)* Large Reasoning Models often "overthink," producing very long chains of thought even for trivial questions. 2. **[LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model](https://md.research.elamur.ai/free/en/papers/shao-2026-lopt-lossless-parallel-tokenization-acceleration/)** *(2026 · 2 citations)* LoPT targets an often-ignored source of latency in long-context LLM inference: tokenization of very long inputs, which runs on the CPU. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Chao Xue](https://md.research.elamur.ai/free/en/authors/chao-xue/) - [Pengyu Wang](https://md.research.elamur.ai/free/en/authors/pengyu-wang/) - [Wei Shao](https://md.research.elamur.ai/free/en/authors/wei-shao/) - [Xiaodong He](https://md.research.elamur.ai/free/en/authors/xiaodong-he/) ## 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/) ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read). Updated 31 October 2026