--- title: "Junxian Guo — author profile and papers — Elamur Research" description: "Junxian Guo, Xinjiang Agricultural University: 2 papers on Elamur Research (2024–2025), h-index 9 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/junxian-guo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junxian-guo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Junxian Guo # Junxian Guo Junxian Guo has 2 papers in our library, in 2024–2025, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/), [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/), [Haotian Tang](https://md.research.elamur.ai/free/en/authors/haotian-tang/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5056134380) · [ORCID](https://orcid.org/0009-0000-9524-091X) · [**h-index 9**](https://openalex.org/authors/A5056134380) · [55 works](https://openalex.org/works?filter=author.id:A5056134380) · [326 citations](https://openalex.org/works?filter=author.id:A5056134380&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/junxian-guo/#papers) · [🔗 Cited 170 times in our library](https://md.research.elamur.ai/free/en/authors/junxian-guo/cited-by/) · [⭐ Paper Stars ranking: #5944](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5944) 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=Junxian+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junxian+Guo) · [dblp](https://dblp.org/search?q=Junxian+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Junxian+Guo) ## Affiliations [🎓**Xinjiang Agricultural University** Ürümqi · China 2008–2026 · 16 papers*current*](https://ror.org/04qjh2h11) · [🔬**Collaborative Innovation Center of Chemistry for Energy Materials** Shanghai · China 2026 · 1 paper*current*](https://ror.org/05fdv7d34) · [🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Jinan University** Guangzhou · China 2023–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/jinan-university/) · [🏢**Commercial Aircraft Corporation of China** Shanghai · China 2024–2025 · 2 papers](https://ror.org/05gxmms51) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [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/junxian-guo/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/junxian-guo/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads](https://md.research.elamur.ai/free/en/papers/xiao-2024-duoattention-efficient-long-context-llm/)** *(2024 · 114 citations)* Serving LLMs over very long inputs is costly because the KV cache grows linearly with context length, and attention compute grows with it. 2. **[XAttention: Block Sparse Attention with Antidiagonal Scoring](https://md.research.elamur.ai/free/en/papers/xu-2025-xattention-block-sparse-attention-antidiagonal/)** *(2025 · 59 citations)* Long-context Transformers are costly because attention grows quadratically with input length, which makes the pre-filling stage a bottleneck. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/) ×2 - [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/) ×2 - [Haotian Tang](https://md.research.elamur.ai/free/en/authors/haotian-tang/) - [Jiaming Tang](https://md.research.elamur.ai/free/en/authors/jiaming-tang/) - [Jingwei Zuo](https://md.research.elamur.ai/free/en/authors/jingwei-zuo/) - [Yao Fu](https://md.research.elamur.ai/free/en/authors/yao-fu/) ## Cited by Papers of our library cite their works 170 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junxian-guo/cited-by/). Updated 30 October 2026