--- title: "Shuaipeng Li — author profile and papers — Elamur Research" description: "Shuaipeng Li, Xi'an Jiaotong University: 2 papers on Elamur Research (2024–2025), h-index 2 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/shuaipeng-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shuaipeng-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shuaipeng Li # Shuaipeng Li Shuaipeng Li has 2 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 [Jiaqi Zhu](https://md.research.elamur.ai/free/en/authors/jiaqi-zhu/), [Ruobing Xie](https://md.research.elamur.ai/free/en/authors/ruobing-xie/), [Xingwu Sun](https://md.research.elamur.ai/free/en/authors/xingwu-sun/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5111348198) · [**h-index 2**](https://openalex.org/authors/A5111348198) · [5 works](https://openalex.org/works?filter=author.id:A5111348198) · [5 citations](https://openalex.org/works?filter=author.id:A5111348198&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shuaipeng-li/#papers) · [🔗 Cited 27 times in our library](https://md.research.elamur.ai/free/en/authors/shuaipeng-li/cited-by/) · [⭐ Paper Stars ranking: #8247](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8247) 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=Shuaipeng+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shuaipeng+Li) · [dblp](https://dblp.org/search?q=Shuaipeng+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Shuaipeng+Li) ## Affiliations [🎓**Xi'an Jiaotong University** Xi'an · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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/) · [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/) 🧭 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 [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/shuaipeng-li/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/shuaipeng-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent](https://md.research.elamur.ai/free/en/papers/sun-2024-hunyuan-large-open-source/)** *(2024 · 25 citations)* Most open-source LLMs use dense architectures, and the few public mixture-of-experts (MoE) models are relatively small. 2. **[HMoE: Heterogeneous Mixture of Experts for Language Modeling](https://md.research.elamur.ai/free/en/papers/wang-2025-hmoe-heterogeneous-mixture-experts-language/)** *(2025 · 11 citations)* Standard Mixture of Experts (MoE) language models use experts of identical size, even though some tokens are harder to process than others. ## Co-authors here 7 co-authors with a page, the most papers together first. - [Jiaqi Zhu](https://md.research.elamur.ai/free/en/authors/jiaqi-zhu/) ×2 - [Ruobing Xie](https://md.research.elamur.ai/free/en/authors/ruobing-xie/) ×2 - [Xingwu Sun](https://md.research.elamur.ai/free/en/authors/xingwu-sun/) ×2 - [Zhen Yang](https://md.research.elamur.ai/free/en/authors/zhen-yang/) ×2 - [Di Wang](https://md.research.elamur.ai/free/en/authors/di-wang/) - [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) - [Naoaki Okazaki](https://md.research.elamur.ai/free/en/authors/naoaki-okazaki/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 27 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shuaipeng-li/cited-by/). Updated 30 October 2026