---
title: "Nuoyi Chen · Fudan University — author profile and papers"
description: "Nuoyi Chen, Fudan University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/nuoyi-chen/"
---
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# Nuoyi Chen

Nuoyi Chen 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 [Hongbo Zhao](https://md.research.elamur.ai/free/en/authors/hongbo-zhao/), [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/), [Xianming Hu](https://md.research.elamur.ai/free/en/authors/xianming-hu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5113377586) · [**h-index 1**](https://openalex.org/authors/A5113377586) · [6 works](https://openalex.org/works?filter=author.id:A5113377586) · [11 citations](https://openalex.org/works?filter=author.id:A5113377586&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nuoyi-chen/#papers) · [⭐ Paper Stars ranking: #13826](https://md.research.elamur.ai/free/en/paper-stars/page/139/#star-13826)

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=Nuoyi+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nuoyi+Chen) · [dblp](https://dblp.org/search?q=Nuoyi+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Nuoyi+Chen)

## Affiliations

[🎓**Fudan University** Shanghai · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Zhejiang University of Technology** Hangzhou · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](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.[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/nuoyi-chen/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Adaptive Zooming via Relevance-Informed Positional Resource Allocation for Training-free LLM Context Extension](https://md.research.elamur.ai/free/en/papers/zhao-2026-adaptive-zooming-relevance-informed-positional/)** *(2026)* LLMs that use RoPE lose quality when inputs run past their pre-training context length. Existing training-free fixes, such as position reuse (Self-Extend, ChunkLlama, AdaGroPE) or frequency interpolation (NTK, YaRN, GALI), remap positions using distance alone and ignore content. As a result, important and unimportant…
2. **[Localized Low-Rank Adaptation within Clustered Parameter Subspaces](https://md.research.elamur.ai/free/en/papers/xiong-2026-localized-low-rank-adaptation-within/)** *(2026)* Most LoRA-style methods learn a single pair of low-rank factors for the whole weight update ∆W. The authors examined updates in LLaMA2-7B and Qwen2.5-1.5B, from both full fine-tuning and LoRA. After bi-clustering rows and columns, these updates often break into distinct blocks. That suggests one global factorization…

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Hongbo Zhao](https://md.research.elamur.ai/free/en/authors/hongbo-zhao/) ×2
- [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) ×2
- [Xianming Hu](https://md.research.elamur.ai/free/en/authors/xianming-hu/) ×2
- [Jiahao Xiong](https://md.research.elamur.ai/free/en/authors/jiahao-xiong/)
- [Jie Zhang](https://md.research.elamur.ai/free/en/authors/jie-zhang/)
- [Ping Li](https://md.research.elamur.ai/free/en/authors/ping-li/)
- [Yihe Liu](https://md.research.elamur.ai/free/en/authors/yihe-liu/)
- [Yihong Huang](https://md.research.elamur.ai/free/en/authors/yihong-huang/)

## 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/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

Updated 2 November 2026
