--- title: "Yuxiang Huang — author profile and papers — Elamur Research" description: "Yuxiang Huang, Hunan University of Traditional Chinese Medicine: 3 papers on Elamur Research (2024–2025), h-index 15 — affiliations…" canonical: "https://research.elamur.ai/free/en/authors/yuxiang-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuxiang-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuxiang Huang # Yuxiang Huang Yuxiang Huang 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 [Weilin Zhao](https://md.research.elamur.ai/free/en/authors/weilin-zhao/), [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/), [Ao Sun](https://md.research.elamur.ai/free/en/authors/ao-sun/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5032028380) · [ORCID](https://orcid.org/0000-0003-1329-8814) · [Wikidata](https://www.wikidata.org/wiki/Q91066757) · [**h-index 15**](https://openalex.org/authors/A5032028380) · [65 works](https://openalex.org/works?filter=author.id:A5032028380) · [3,330 citations](https://openalex.org/works?filter=author.id:A5032028380&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yuxiang-huang/#papers) · [🔗 Cited 286 times in our library](https://md.research.elamur.ai/free/en/authors/yuxiang-huang/cited-by/) · [⭐ Paper Stars ranking: #5475](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5475) 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=Yuxiang+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuxiang+Huang) · [dblp](https://dblp.org/search?q=Yuxiang+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Yuxiang+Huang) ## Affiliations [🎓**Jinan University** Guangzhou · China 2022–2025 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/jinan-university/) · [🏥**ShenZhen People’s Hospital** Shenzhen · China 2022–2025 · 8 papers*current*](https://ror.org/01hcefx46) · [🎓**Southern University of Science and Technology** Shenzhen · China 2015–2025 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/southern-university-of-science-and-technology/) · [🏢**China National Offshore Oil Corporation** Beijing · China 2025 · 1 paper*current*](https://ror.org/054dq0621) · [🎓**Hunan University of Traditional Chinese Medicine** Changsha · China 2025 · 1 paper*current*](https://ror.org/05qfq0x09) · [🎓**Tsinghua University** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Xinjiang Institute of Engineering** Ürümqi · China 2025 · 1 paper*current*](https://ror.org/01s5hh873) · [🏥**Northern Jiangsu People's Hospital** Yangzhou · China 2015–2024 · 7 papers](https://ror.org/04gz17b59) · [🎓**Medical University of South Carolina** Charleston · United States 2007–2012 · 7 papers](https://ror.org/012jban78) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions on single bylines are not listed. ## 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).[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/) · [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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yuxiang-huang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yuxiang-huang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies](https://md.research.elamur.ai/free/en/papers/hu-2024-minicpm-unveiling-potential-small-language/)** *(2024 · 269 citations)* Training very large language models is expensive, which makes experiments hard to afford, and the resulting models are difficult to run on phones or laptops. 2. **[MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe](https://md.research.elamur.ai/free/en/papers/yu-2025-minicpm-v-4-5/)** *(2025 · 24 citations)* MiniCPM-V 4.5 is an 8B-parameter multimodal LLM from OpenBMB. It targets three costly parts of MLLM development: long visual token sequences, brittle document-parsing pipelines and verbose reasoning. To shorten visual input, the authors extend the 2D-Resampler of earlier MiniCPM-V models into a unified 3D-Resampler.… 3. **[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… ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Weilin Zhao](https://md.research.elamur.ai/free/en/authors/weilin-zhao/) ×2 - [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/) ×2 - [Ao Sun](https://md.research.elamur.ai/free/en/authors/ao-sun/) - [Bokai Xu](https://md.research.elamur.ai/free/en/authors/bokai-xu/) - [Chaoqun He](https://md.research.elamur.ai/free/en/authors/chaoqun-he/) - [Chongyi Wang](https://md.research.elamur.ai/free/en/authors/chongyi-wang/) - [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 Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/) - [Junbo Cui](https://md.research.elamur.ai/free/en/authors/junbo-cui/) - [Shengding Hu](https://md.research.elamur.ai/free/en/authors/shengding-hu/) ## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 286 times (of the 149,439 papers whose bibliographies we read); [80 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuxiang-huang/cited-by/). Updated 31 October 2026