--- title: "Xiaodong Han · China XD Group — author profile and papers" description: "Xiaodong Han, China XD Group: 3 papers on Elamur Research (2022–2024), h-index 11 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/xiaodong-han/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaodong-han/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaodong Han # Xiaodong Han Xiaodong Han has 3 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Weixuan Sun](https://md.research.elamur.ai/free/en/authors/weixuan-sun/), [Yiran Zhong](https://md.research.elamur.ai/free/en/authors/yiran-zhong/), [Zhen Qin](https://md.research.elamur.ai/free/en/authors/zhen-qin/). 3 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5112804858) · [ORCID](https://orcid.org/0000-0002-1739-9033) · [**h-index 11**](https://openalex.org/authors/A5112804858) · [37 works](https://openalex.org/works?filter=author.id:A5112804858) · [433 citations](https://openalex.org/works?filter=author.id:A5112804858&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xiaodong-han/#papers) · [🔗 Cited 177 times in our library](https://md.research.elamur.ai/free/en/authors/xiaodong-han/cited-by/) · [⭐ Paper Stars ranking: #5770](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5770) 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=Xiaodong+Han) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaodong+Han) · [dblp](https://dblp.org/search?q=Xiaodong+Han) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaodong+Han) ## Affiliations [🏢**China XD Group** Xi'an · China 2016–2026 · 3 papers*current*](https://ror.org/04ceqst84) · [🏛️**China Academy of Space Technology** Beijing · China 2018–2024 · 5 papers](https://ror.org/025397a59) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2019–2024 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Modern Physics** Lanzhou · China 2019–2024 · 2 papers](https://ror.org/03x8rhq63) · [🔬**State Key Laboratory of Silicon Materials** Hangzhou 2023–2024 · 2 papers](https://ror.org/02dmmay61) · [🎓**Yan'an University** Shanxi · China 2024 · 2 papers](https://ror.org/01dyr7034) · [🎓**Zhejiang University** Hangzhou · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏢**China National Offshore Oil Corporation** Beijing · China 2022–2023 · 2 papers](https://ror.org/054dq0621) · [🏢**Sensetime** Beijing · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/sensetime/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 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/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaodong-han/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaodong-han/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaodong-han/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference](https://md.research.elamur.ai/free/en/papers/yang-2024-pyramidinfer-pyramid-kv-cache-compression/)** *(2024 · 91 citations)* Serving LLMs at scale is limited by GPU memory, and the KV cache often takes far more memory than the model weights. 2. **[The Devil in Linear Transformer](https://md.research.elamur.ai/free/en/papers/qin-2022-devil-linear-transformer/)** *(2022 · 67 citations)* Kernel-based linear transformers reduce attention cost from quadratic to linear in sequence length, but they usually lose accuracy compared with the standard softmax transformer. 3. **[TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer](https://md.research.elamur.ai/free/en/papers/qin-2023-transnormerllm-faster-better-large/)** *(2023 · 33 citations)* Linear attention promises to remove the quadratic cost of softmax attention. In practice, earlier linear-attention models have trailed Transformers in language-modeling quality and rarely ran faster on real hardware. The authors close this gap with TransNormerLLM, a redesigned version of their TransNormer… ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Weixuan Sun](https://md.research.elamur.ai/free/en/authors/weixuan-sun/) ×2 - [Yiran Zhong](https://md.research.elamur.ai/free/en/authors/yiran-zhong/) ×2 - [Zhen Qin](https://md.research.elamur.ai/free/en/authors/zhen-qin/) ×2 - [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/) - [Dongxu Li](https://md.research.elamur.ai/free/en/authors/dongxu-li/) - [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/) - [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/) - [Nick M. Barnes](https://md.research.elamur.ai/free/en/authors/nick-m-barnes/) - [Shilin Zhang](https://md.research.elamur.ai/free/en/authors/shilin-zhang/) - [Weigao Sun](https://md.research.elamur.ai/free/en/authors/weigao-sun/) - [Xiao Luo](https://md.research.elamur.ai/free/en/authors/xiao-luo/) - [Xuyang Shen](https://md.research.elamur.ai/free/en/authors/xuyang-shen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) ## Cited by Papers of our library cite their works 177 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaodong-han/cited-by/). Updated 30 October 2026