---
title: "Yuyang Dong — author profile and papers — Elamur Research"
description: "Yuyang Dong: 2 papers on Elamur Research (2026), h-index 10 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yuyang-dong/"
---
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# Yuyang Dong

Yuyang Dong 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Chuan Xiao](https://md.research.elamur.ai/free/en/authors/chuan-xiao/), [Masafumi Oyamada](https://md.research.elamur.ai/free/en/authors/masafumi-oyamada/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5100518773) · [ORCID](https://orcid.org/0000-0001-7112-5212) · [**h-index 10**](https://openalex.org/authors/A5100518773) · [31 works](https://openalex.org/works?filter=author.id:A5100518773) · [380 citations](https://openalex.org/works?filter=author.id:A5100518773&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuyang-dong/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11325](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11325)

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

## Affiliations

[🎓**Wenzhou University** Wenzhou · China 2024–2025 · 3 papers](https://ror.org/020hxh324) · [🏢**NEC** Tokyo · Japan 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/nec-jp/) · [🎓**Nagoya University** Nagoya · Japan 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/nagoya-university/) · [🎓**The University of Osaka** Osaka · Japan 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-osaka/) · [🏥**Fourth Hospital of Hebei Medical University** Shijiazhuang · China 2022–2025 · 2 papers](https://ror.org/01mdjbm03) · [🎓**Hebei Medical University** Shijiazhuang · China 2022–2025 · 2 papers](https://ror.org/04eymdx19) · [🏥**Anshan Hospital** Anshan · China 2024 · 2 papers](https://ror.org/05p2t9n36) · [🎓**Virginia Tech** Blacksburg · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/virginia-tech/) · [🎓**Taiyuan University of Technology** Taiyuan · China 2005 · 2 papers](https://ror.org/03kv08d37)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 6 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [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/yuyang-dong/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference](https://md.research.elamur.ai/free/en/papers/taniguchi-2026-adaptive-layer-selection-layer-wise/)** *(2026 · 1 citation)* Layer-wise token pruning reduces the KV cache during LLM inference. It keeps only a subset of important tokens beyond a certain Transformer layer. Existing methods such as FastKV and GemFilter fix this "selection layer" in advance, regardless of the task. A layer that suits easy QA can therefore fail badly on harder…
2. **[SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/ueda-2026-scan-semantic-document-layout-analysis/)** *(2026 · 1 citation)* RAG systems over visually rich documents such as reports, manuals and flyers increasingly depend on VLMs. These models either transcribe page regions into text (textual RAG) or read page images directly (visual RAG). Giving a VLM an entire dense page works poorly. Conventional layout analysers like DocLayout-YOLO go…

## Co-authors here

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

- [Chuan Xiao](https://md.research.elamur.ai/free/en/authors/chuan-xiao/)
- [Masafumi Oyamada](https://md.research.elamur.ai/free/en/authors/masafumi-oyamada/)

## 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
