--- title: "Zhenhua Han — author profile and papers — Elamur Research" description: "Zhenhua Han, Xinjiang Normal University: 2 papers on Elamur Research (2024), h-index 18 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/zhenhua-han/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhenhua-han/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhenhua Han # Zhenhua Han Zhenhua Han has 2 papers in our library, in 2024, most of them on [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 [Chengruidong Zhang](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/), [Huiqiang Jiang](https://md.research.elamur.ai/free/en/authors/huiqiang-jiang/), [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5049750274) · [ORCID](https://orcid.org/0000-0002-2880-7100) · [Wikidata](https://www.wikidata.org/wiki/Q130936844) · [**h-index 18**](https://openalex.org/authors/A5049750274) · [65 works](https://openalex.org/works?filter=author.id:A5049750274) · [1,283 citations](https://openalex.org/works?filter=author.id:A5049750274&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhenhua-han/#papers) · [🔗 Cited 230 times in our library](https://md.research.elamur.ai/free/en/authors/zhenhua-han/cited-by/) · [⭐ Paper Stars ranking: #5809](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5809) 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=Zhenhua+Han) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhenhua+Han) · [dblp](https://dblp.org/search?q=Zhenhua+Han) · [ACL Anthology](https://aclanthology.org/search/?q=Zhenhua+Han) ## Affiliations [🎓**Xinjiang Normal University** Ürümqi · China 2011–2026 · 6 papers*current*](https://ror.org/00ndrvk93) · [🎓**Hubei University of Technology** Wuhan · China 2026 · 2 papers*current*](https://ror.org/02d3fj342) · [🏢**Microsoft Research Asia** Beijing · China 2020–2025 · 11 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2016–2022 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**University of Science and Technology of China** Hefei · China 2017–2022 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Taiyuan University of Technology** Taiyuan · China 2021–2022 · 3 papers](https://ror.org/03kv08d37) · [🎓**Jinan University** Guangzhou · China 2014–2016 · 3 papers](https://md.research.elamur.ai/free/en/universities/jinan-university/) · [🏢**Microsoft** Redmond · United States 2020–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Southern University of Science and Technology** Shenzhen · China 2015 · 2 papers](https://md.research.elamur.ai/free/en/universities/southern-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zhenhua-han/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention](https://md.research.elamur.ai/free/en/papers/jiang-2024-minference-1-0-accelerating-pre/)** *(2024 · 202 citations)* Long-context LLMs face a serious delay before they produce their first token. During pre-filling, attention cost grows quadratically with prompt length. An 8B model needs about half an hour on one A100 to ingest a 1M-token prompt. MInference is a training-free way to cut this delay. The authors observe that attention… 2. **[RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval](https://md.research.elamur.ai/free/en/papers/liu-2024-retrievalattention-accelerating-long-context-llm/)** *(2024 · 66 citations)* Serving LLMs with very long contexts is expensive. Attention cost grows with sequence length, and the KV cache for Llama-3-8B reaches roughly 125GB at one million tokens, which no consumer GPU can hold. RetrievalAttention is a training-free method that exploits the fact that each decoding step depends strongly on… ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Chengruidong Zhang](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/) ×2 - [Huiqiang Jiang](https://md.research.elamur.ai/free/en/authors/huiqiang-jiang/) ×2 - [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/) - [Chin-Yew Lin](https://md.research.elamur.ai/free/en/authors/chin-yew-lin/) - [Di Liu](https://md.research.elamur.ai/free/en/authors/di-liu/) - [Dongsheng Li](https://md.research.elamur.ai/free/en/authors/dongsheng-li/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) - [Lili Qiu](https://md.research.elamur.ai/free/en/authors/lili-qiu/) - [Meng Chen](https://md.research.elamur.ai/free/en/authors/meng-chen/) - [Qi Chen](https://md.research.elamur.ai/free/en/authors/qi-chen/) - [Qianhui Wu](https://md.research.elamur.ai/free/en/authors/qianhui-wu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ×2 ## Cited by Papers of our library cite their works 230 times (of the 149,439 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhenhua-han/cited-by/). Updated 2 November 2026