--- title: "Yang Zhou — author profile and papers — Elamur Research" description: "Yang Zhou, Guangdong University of Technology: 3 papers on Elamur Research (2024–2026), h-index 13 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/yang-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yang-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yang Zhou # Yang Zhou Yang Zhou has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Beidi Chen](https://md.research.elamur.ai/free/en/authors/beidi-chen/), [Yuandong Tian](https://md.research.elamur.ai/free/en/authors/yuandong-tian/), [Zhuoming Chen](https://md.research.elamur.ai/free/en/authors/zhuoming-chen/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5053207994) · [ORCID](https://orcid.org/0000-0002-7239-6556) · [**h-index 13**](https://openalex.org/authors/A5053207994) · [71 works](https://openalex.org/works?filter=author.id:A5053207994) · [1,009 citations](https://openalex.org/works?filter=author.id:A5053207994&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yang-zhou/#papers) · [🔗 Cited 95 times in our library](https://md.research.elamur.ai/free/en/authors/yang-zhou/cited-by/) · [⭐ Paper Stars ranking: #6856](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6856) 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=Yang+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yang+Zhou) · [dblp](https://dblp.org/search?q=Yang+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Yang+Zhou) ## Affiliations [🎓**Jilin Agricultural University** Changchun · China 2021–2026 · 18 papers*current*](https://ror.org/05dmhhd41) · [🎓**Guangdong University of Technology** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/guangdong-university-of-technology/) · [🎓**Hohai University** Nanjing · China 2009–2023 · 11 papers](https://md.research.elamur.ai/free/en/universities/hohai-university/) · [🏛️**Ministry of Water Resources of the People's Republic of China** Beijing · China 2021–2024 · 6 papers](https://ror.org/04e698d63) · [🏛️**Agency for Science, Technology and Research** Singapore · Singapore 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/government/agency-for-science-technology-and-research/) · [🔬**Institute of High Performance Computing** Singapore · Singapore 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/labs/institute-of-high-performance-computing/) · [🎓**Xidian University** Xi'an · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/xidian-university/) · [🎓**Anhui Agricultural University** Hefei · China 2022 · 2 papers](https://ror.org/0327f3359) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Zhejiang University** Hangzhou · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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 · 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/) · [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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yang-zhou/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yang-zhou/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yang-zhou/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MagicPIG: LSH Sampling for Efficient LLM Generation](https://md.research.elamur.ai/free/en/papers/chen-2024-magicpig-lsh-sampling-efficient-llm/)** *(2024 · 68 citations)* Serving long-context LLMs is constrained by the KV cache. It consumes GPU memory and makes decoding memory-bound. Many speedups keep only the highest-scoring keys (TopK attention). The authors show this is a biased estimator that breaks down when attention is spread out, as in aggregation tasks like common- or… 2. **[GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?](https://md.research.elamur.ai/free/en/papers/zhou-2025-gsm-infinite-llms-behave-over/)** *(2025 · 21 citations)* Existing long-context benchmarks such as RULER, LongBench and LOFT mostly test retrieval or summarization. 3. **[RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation](https://md.research.elamur.ai/free/en/papers/li-2026-rubrichub-comprehensive-highly-discriminative-rubric/)** *(2026 · 9 citations)* Reinforcement learning with verifiable rewards works well for math and code, where answers can be checked. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Beidi Chen](https://md.research.elamur.ai/free/en/authors/beidi-chen/) ×2 - [Yuandong Tian](https://md.research.elamur.ai/free/en/authors/yuandong-tian/) ×2 - [Zhuoming Chen](https://md.research.elamur.ai/free/en/authors/zhuoming-chen/) ×2 - [Hongyi Liu](https://md.research.elamur.ai/free/en/authors/hongyi-liu/) - [Jiale Zhao](https://md.research.elamur.ai/free/en/authors/jiale-zhao/) - [Leon Bottou](https://md.research.elamur.ai/free/en/authors/leon-bottou/) - [Matthijs Douze](https://md.research.elamur.ai/free/en/authors/matthijs-douze/) - [Shunyu Liu](https://md.research.elamur.ai/free/en/authors/shunyu-liu/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 95 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/yang-zhou/cited-by/). Updated 1 November 2026