--- title: "Changhai Zhou · Fudan University — author profile and papers" description: "Changhai Zhou, Fudan University: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/changhai-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/changhai-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Changhai Zhou # Changhai Zhou Changhai Zhou has 2 papers in our library, in 2026, 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 [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/), [Qian Qiao](https://md.research.elamur.ai/free/en/authors/qian-qiao/), [Shichao Weng](https://md.research.elamur.ai/free/en/authors/shichao-weng/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5101386205) · [ORCID](https://orcid.org/0009-0008-6428-5857) · [**h-index 3**](https://openalex.org/authors/A5101386205) · [19 works](https://openalex.org/works?filter=author.id:A5101386205) · [30 citations](https://openalex.org/works?filter=author.id:A5101386205&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/changhai-zhou/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/changhai-zhou/cited-by/) · [⭐ Paper Stars ranking: #11975](https://md.research.elamur.ai/free/en/paper-stars/page/120/#star-11975) 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=Changhai+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Changhai+Zhou) · [dblp](https://dblp.org/search?q=Changhai+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Changhai+Zhou) ## Affiliations [🎓**Fudan University** Shanghai · China 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Chengdu Normal University** Chengdu · China 2022–2024 · 4 papers](https://ror.org/04enz2k98) 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 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.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/changhai-zhou/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies](https://md.research.elamur.ai/free/en/papers/zhou-2026-balancing-fidelity-plasticity-aligning-mixed/)** *(2026 · 3 citations)* Fine-tuning large language models on memory-limited hardware usually combines weight quantization with LoRA adapters. 2. **[Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank Substitution](https://md.research.elamur.ai/free/en/papers/zhou-2026-deputy-accelerating-large-language-model/)** *(2026 · 1 citation)* Large language models apply the same dense computation to every token, which wastes resources and slows inference. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/) ×2 - [Qian Qiao](https://md.research.elamur.ai/free/en/authors/qian-qiao/) ×2 - [Shichao Weng](https://md.research.elamur.ai/free/en/authors/shichao-weng/) ×2 - [Yuhua Zhou](https://md.research.elamur.ai/free/en/authors/yuhua-zhou/) ×2 - [Fei Yang](https://md.research.elamur.ai/free/en/authors/fei-yang/) - [Yuhan Wu](https://md.research.elamur.ai/free/en/authors/yuhan-wu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 ## Cited by Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/changhai-zhou/cited-by/). Updated 31 October 2026