--- title: "Chengruidong Zhang — author profile and papers" description: "Chengruidong Zhang, Microsoft: 2 papers on Elamur Research (2024), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/chengruidong-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chengruidong-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chengruidong Zhang # Chengruidong Zhang Chengruidong Zhang 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/); often with [Chin-Yew Lin](https://md.research.elamur.ai/free/en/authors/chin-yew-lin/), [Dongsheng Li](https://md.research.elamur.ai/free/en/authors/dongsheng-li/), [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5040430995) · [ORCID](https://orcid.org/0009-0002-4939-0436) · [**h-index 3**](https://openalex.org/authors/A5040430995) · [17 works](https://openalex.org/works?filter=author.id:A5040430995) · [41 citations](https://openalex.org/works?filter=author.id:A5040430995&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/#papers) · [🔗 347 citations in our library](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #3423](https://md.research.elamur.ai/free/en/paper-stars/page/35/#star-3423) 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=Chengruidong+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chengruidong+Zhang) · [dblp](https://dblp.org/search?q=Chengruidong+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Chengruidong+Zhang) ## Affiliations [🏢**Microsoft** Redmond · United States 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Microsoft Research Asia** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Topics [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/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 · 197 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. **[LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens](https://md.research.elamur.ai/free/en/papers/ding-2024-longrope-extending-llm-context/)** *(2024 · 138 citations)* Most large language models can only work with a fixed span of text. LLaMA2, for example, is limited to 4096 tokens, and earlier extension methods stopped around 128k. Going further is hard for three reasons: unseen position indices destabilize training, very long training texts are scarce and expensive to use, and… ## Also in our library 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Chin-Yew Lin](https://md.research.elamur.ai/free/en/authors/chin-yew-lin/) - [Dongsheng Li](https://md.research.elamur.ai/free/en/authors/dongsheng-li/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Huiqiang Jiang](https://md.research.elamur.ai/free/en/authors/huiqiang-jiang/) - [Li Lyna Zhang](https://md.research.elamur.ai/free/en/authors/li-lyna-zhang/) - [Lili Qiu](https://md.research.elamur.ai/free/en/authors/lili-qiu/) - [Mao Yang](https://md.research.elamur.ai/free/en/authors/mao-yang/) - [Ning Shang](https://md.research.elamur.ai/free/en/authors/ning-shang/) - [Qianhui Wu](https://md.research.elamur.ai/free/en/authors/qianhui-wu/) - [Xufang Luo](https://md.research.elamur.ai/free/en/authors/xufang-luo/) - [Yucheng Li](https://md.research.elamur.ai/free/en/authors/yucheng-li/) - [Yuqing Yang](https://md.research.elamur.ai/free/en/authors/yuqing-yang/) ## Cited by Papers of our library cite their works 347 times (of the 140,884 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/cited-by/).