--- title: "Yu Guo — author profile and papers — Elamur Research" description: "Yu Guo, University of Science and Technology of China: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/yu-guo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yu-guo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yu Guo # Yu Guo Yu Guo has 2 papers in our library, in 2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jianyang](https://md.research.elamur.ai/free/en/authors/jianyang/), [Shenghao Ye](https://md.research.elamur.ai/free/en/authors/shenghao-ye/), [Shuangwu Chen](https://md.research.elamur.ai/free/en/authors/shuangwu-chen/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139840401) · [**h-index 1**](https://openalex.org/authors/A5139840401) · [5 works](https://openalex.org/works?filter=author.id:A5139840401) · [2 citations](https://openalex.org/works?filter=author.id:A5139840401&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yu-guo/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/yu-guo/cited-by/) · [⭐ Paper Stars ranking: #12074](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12074) 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=Yu+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yu+Guo) · [dblp](https://dblp.org/search?q=Yu+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Yu+Guo) ## Affiliations [🎓**University of Science and Technology of China** Hefei · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Shenzhen University** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) 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 · 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yu-guo/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables](https://md.research.elamur.ai/free/en/papers/ye-2026-when-tableqa-meets-noise-dual/)** *(2026 · 4 citations)* This paper addresses how large language models lose accuracy in table question answering (TableQA) when questions are complex and tables are large. 2. **[SpecCache: Speculative KV Cache Reuse for Efficient RAG Serving](https://md.research.elamur.ai/free/en/papers/wen-2026-speccache-speculative-kv-cache-reuse/)** *(2026)* RAG prompts grow long when many retrieved chunks are added, which makes the prefill stage slow and delays the first token. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Jianyang](https://md.research.elamur.ai/free/en/authors/jianyang/) ×2 - [Shenghao Ye](https://md.research.elamur.ai/free/en/authors/shenghao-ye/) ×2 - [Shuangwu Chen](https://md.research.elamur.ai/free/en/authors/shuangwu-chen/) ×2 - [Yunpeng Hou](https://md.research.elamur.ai/free/en/authors/yunpeng-hou/) ×2 - [Tao Zhang](https://md.research.elamur.ai/free/en/authors/tao-zhang/) - [Yuxiang Wang](https://md.research.elamur.ai/free/en/authors/yuxiang-wang/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yu-guo/cited-by/). Updated 2 November 2026