--- title: "Yunfei Lu · Huawei Technologies — author profile and papers" description: "Yunfei Lu, Huawei Technologies: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yunfei-lu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yunfei-lu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yunfei Lu # Yunfei Lu Yunfei Lu has 3 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Dandan Tu](https://md.research.elamur.ai/free/en/authors/dandan-tu/), [Xiaocheng Feng](https://md.research.elamur.ai/free/en/authors/xiaocheng-feng/), [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5100640072) · [ORCID](https://orcid.org/0009-0004-5324-7493) · [**h-index 1**](https://openalex.org/authors/A5100640072) · [12 works](https://openalex.org/works?filter=author.id:A5100640072) · [6 citations](https://openalex.org/works?filter=author.id:A5100640072&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yunfei-lu/#papers) · 🔗 Cited 6 times in our library · [⭐ Paper Stars ranking: #10251](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10251) 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=Yunfei+Lu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yunfei+Lu) · [dblp](https://dblp.org/search?q=Yunfei+Lu) · [ACL Anthology](https://aclanthology.org/search/?q=Yunfei+Lu) ## Affiliations [🏢**Huawei Technologies** Shenzhen · China 2023–2026 · 5 papers*current*](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 5 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/) · [Language and Linguistics · 3 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/) 🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yunfei-lu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering](https://md.research.elamur.ai/free/en/papers/li-2026-unlocking-multilingual-reasoning-capability-llms/)** *(2026 · 4 citations)* Large language models and vision-language models reason noticeably worse in non-English languages, especially low-resource ones such as Thai and Swahili. 2. **[Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation](https://md.research.elamur.ai/free/en/papers/yuan-2026-culture-aware-machine-translation-large/)** *(2026 · 2 citations)* LLMs translate general text well, but little is known about how they handle culturally loaded content. The authors build CanMT, a parallel benchmark drawn from classic novels and their professional translations. It covers 12 directions among English, Chinese, Japanese, Spanish and Russian. 3. **[x1: Learning to Think Adaptively Across Languages and Cultures](https://md.research.elamur.ai/free/en/papers/ye-2026-x1-learning-think-adaptively-across/)** *(2026 · 1 citation)* Most reasoning LLMs think mainly in one dominant language, usually English, even when a question is posed in another language or depends on a specific culture. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Dandan Tu](https://md.research.elamur.ai/free/en/authors/dandan-tu/) ×3 - [Xiaocheng Feng](https://md.research.elamur.ai/free/en/authors/xiaocheng-feng/) ×3 - [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/) ×2 - [Qichen Hong](https://md.research.elamur.ai/free/en/authors/qichen-hong/) ×2 - [Xiachong Feng](https://md.research.elamur.ai/free/en/authors/xiachong-feng/) ×2 - [Yangfan Ye](https://md.research.elamur.ai/free/en/authors/yangfan-ye/) ×2 - [Zekun Yuan](https://md.research.elamur.ai/free/en/authors/zekun-yuan/) ×2 - [Lei Huang](https://md.research.elamur.ai/free/en/authors/lei-huang/) - [Libo Qin](https://md.research.elamur.ai/free/en/authors/libo-qin/) - [Weitao Ma](https://md.research.elamur.ai/free/en/authors/weitao-ma/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [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 6 times (of the 149,439 papers whose bibliographies we read). Updated 31 October 2026