--- title: "Jingyang Yuan — author profile and papers — Elamur Research" description: "Jingyang Yuan, North China Electric Power University: 2 papers on Elamur Research (2025), h-index 8 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/jingyang-yuan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingyang-yuan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingyang Yuan # Jingyang Yuan Jingyang Yuan has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Junyu Luo](https://md.research.elamur.ai/free/en/authors/junyu-luo/), [Zhiping Xiao](https://md.research.elamur.ai/free/en/authors/zhiping-xiao/), [Bohan Wu](https://md.research.elamur.ai/free/en/authors/bohan-wu/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5113747152) · [**h-index 8**](https://openalex.org/authors/A5113747152) · [33 works](https://openalex.org/works?filter=author.id:A5113747152) · [2,774 citations](https://openalex.org/works?filter=author.id:A5113747152&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingyang-yuan/#papers) · [🔗 Cited 4,153 times in our library](https://md.research.elamur.ai/free/en/authors/jingyang-yuan/cited-by/) · [⭐ Paper Stars ranking: #7008](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7008) 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=Jingyang+Yuan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingyang+Yuan) · [dblp](https://dblp.org/search?q=Jingyang+Yuan) · [ACL Anthology](https://aclanthology.org/search/?q=Jingyang+Yuan) ## Affiliations [🎓**Peking University** Beijing · China 2023–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**North China Electric Power University** Beijing · China 2006–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/north-china-electric-power-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 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 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) · [Language models & pretraining · 1 work](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/jingyang-yuan/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention](https://md.research.elamur.ai/free/en/papers/yuan-2025-native-sparse-attention-hardware/)** *(2025 · 142 citations)* Standard softmax attention becomes the main cost in long-context language models. The authors estimate it takes 70–80% of decoding latency at 64k tokens. Earlier sparse attention methods often save compute on paper but not in wall-clock time. Many speed up only prefilling or only decoding, clash with GQA/MQA memory… 2. **[A Survey on Efficient Large Language Model Training: From Data-centric Perspectives](https://md.research.elamur.ai/free/en/papers/luo-2025-survey-efficient-large-language-model/)** *(2025 · 14 citations)* Post-training is the stage where LLMs acquire instruction following, alignment, reasoning and domain skills. ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Junyu Luo](https://md.research.elamur.ai/free/en/authors/junyu-luo/) ×2 - [Zhiping Xiao](https://md.research.elamur.ai/free/en/authors/zhiping-xiao/) ×2 - [Bohan Wu](https://md.research.elamur.ai/free/en/authors/bohan-wu/) - [Chong Ruan](https://md.research.elamur.ai/free/en/authors/chong-ruan/) - [Damai Dai](https://md.research.elamur.ai/free/en/authors/damai-dai/) - [Huazuo Gao](https://md.research.elamur.ai/free/en/authors/huazuo-gao/) - [Lean Wang](https://md.research.elamur.ai/free/en/authors/lean-wang/) - [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/) - [Ming Zhang](https://md.research.elamur.ai/free/en/authors/ming-zhang/) - [Nan Yin](https://md.research.elamur.ai/free/en/authors/nan-yin/) - [Wei Ju](https://md.research.elamur.ai/free/en/authors/wei-ju/) - [Xiao Luo](https://md.research.elamur.ai/free/en/authors/xiao-luo/) ## 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/) - [Nature](https://md.research.elamur.ai/free/en/venues/nature/) ## Cited by Papers of our library cite their works 4,153 times (of the 149,439 papers whose bibliographies we read); [1,121 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingyang-yuan/cited-by/). Updated 2 November 2026