--- title: "Yuxuan Li — author profile and papers — Elamur Research" description: "Yuxuan Li, Space Engineering University: 4 papers on Elamur Research (2025–2026), h-index 2 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yuxuan-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuxuan-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuxuan Li # Yuxuan Li Yuxuan Li has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/), [MiniCPM Team](https://md.research.elamur.ai/free/en/authors/minicpm-team/), [Ao Sun](https://md.research.elamur.ai/free/en/authors/ao-sun/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5109216762) · [ORCID](https://orcid.org/0009-0000-7098-5317) · [**h-index 2**](https://openalex.org/authors/A5109216762) · [15 works](https://openalex.org/works?filter=author.id:A5109216762) · [28 citations](https://openalex.org/works?filter=author.id:A5109216762&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yuxuan-li/#papers) · [🔗 Cited 37 times in our library](https://md.research.elamur.ai/free/en/authors/yuxuan-li/cited-by/) · [⭐ Paper Stars ranking: #9331](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9331) 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=Yuxuan+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuxuan+Li) · [dblp](https://dblp.org/search?q=Yuxuan+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yuxuan+Li) ## Affiliations [🎓**Space Engineering University** Beijing · China 2024–2026 · 11 papers*current*](https://ror.org/04rj1td02) · [🎓**Harbin Institute of Technology** Harbin · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](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 1 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yuxuan-li/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yuxuan-li/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MiniCPM4: Ultra-Efficient LLMs on End Devices](https://md.research.elamur.ai/free/en/papers/minicpm-team-2025-minicpm4-ultra-efficient-llms/)** *(2025 · 22 citations)* Running capable LLMs locally on phones, embedded boards and consumer GPUs is limited by compute, memory and the cost of attention over long contexts. 2. **[FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling](https://md.research.elamur.ai/free/en/papers/zhao-2025-fr-spec-accelerating-large-vocabulary/)** *(2025 · 15 citations)* Speculative sampling speeds up LLM decoding. A small draft model proposes tokens, and the full model checks them in parallel. The authors find that this benefit shrinks for models with big vocabularies, such as Llama-3-8B (128k tokens). They re-implemented EAGLE-2 in native C and CUDA to strip away Python and… 3. **[MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling](https://md.research.elamur.ai/free/en/papers/minicpm-team-2026-minicpm-sala-hybridizing-sparse/)** *(2026 · 2 citations)* Full attention in Transformers is costly for very long inputs. Compute grows quadratically with length, and the KV-Cache can reach tens or hundreds of gigabytes at million-token scale. Sparse attention cuts computation but still keeps the whole cache. Linear attention is cheap but compresses context lossily and loses… 4. **[ArcLight: A Lightweight LLM Inference Architecture for Many-Core CPUs](https://md.research.elamur.ai/free/en/papers/xu-2026-arclight-lightweight-llm-inference-architecture/)** *(2026)* CPU frameworks for LLM inference, such as llama.cpp, scale poorly on many-core server CPUs. These machines split cores and memory into several NUMA nodes, and reading memory attached to another node is much slower than reading local memory. Existing tools largely ignore this cost. The authors present ArcLight, a… ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/) ×3 - [MiniCPM Team](https://md.research.elamur.ai/free/en/authors/minicpm-team/) ×2 - [Ao Sun](https://md.research.elamur.ai/free/en/authors/ao-sun/) - [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/) - [Chaojun Xiao](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/) - [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/) - [Hao Zhou](https://md.research.elamur.ai/free/en/authors/hao-zhou/) - [Jianyong Wang](https://md.research.elamur.ai/free/en/authors/jianyong-wang/) - [Jie Cai](https://md.research.elamur.ai/free/en/authors/jie-cai/) - [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/) - [Ning Ding](https://md.research.elamur.ai/free/en/authors/ning-ding/) - [Wanxiang Che](https://md.research.elamur.ai/free/en/authors/wanxiang-che/) ## 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/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 37 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuxuan-li/cited-by/). Updated 2 November 2026