---
title: "Fan Wu · Hunan University — author profile and papers"
description: "Fan Wu, Hunan University: 3 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/fan-wu/"
---
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# Fan Wu

Fan Wu has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/), [Linke Ouyang](https://md.research.elamur.ai/free/en/authors/linke-ouyang/), [Zhiyuan Zhao](https://md.research.elamur.ai/free/en/authors/zhiyuan-zhao/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5139830097) · [**h-index 1**](https://openalex.org/authors/A5139830097) · [3 works](https://openalex.org/works?filter=author.id:A5139830097) · [8 citations](https://openalex.org/works?filter=author.id:A5139830097&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/fan-wu/#papers) · [🔗 Cited 105 times in our library](https://md.research.elamur.ai/free/en/authors/fan-wu/cited-by/) · [⭐ Paper Stars ranking: #7419](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7419)

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

## Affiliations

[🎓**Hunan University** Changsha · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/hunan-university/)

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 7 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/) · [Business, Management and Accounting · 1 work](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/) · [Management Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/management-information-systems/)

🧭 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/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/fan-wu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/fan-wu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MinerU: An Open-Source Solution for Precise Document Content Extraction](https://md.research.elamur.ai/free/en/papers/wang-2024-mineru-open-source-solution-precise/)** *(2024 · 95 citations)* High-quality text from PDFs is increasingly needed for LLM training data and RAG systems. However, open-source extractors often fail on documents that are not academic papers, such as textbooks, exam sheets, reports and slides. End-to-end MLLM parsers are expensive to run and still struggle with varied inputs. MinerU…
2. **[MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing](https://md.research.elamur.ai/free/en/papers/niu-2026-mineru2-5-decoupled-vision-language/)** *(2026 · 35 citations)* Turning document images into structured text is difficult because pages are high-resolution, dense, and complex in layout.
3. **[LaCo: Layer-wise Compensation for Pruned Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-laco-layer-wise-compensation-pruned/)** *(2026)* Pruning makes large language models cheaper to run, but it often damages their quality. Common recovery methods such as LoRA fine-tune the whole model on task data. They do not target the actual cause of the damage. The authors give a Lipschitz-based bound showing that small per-layer errors from pruning add up and…

## Co-authors here

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

- [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/) ×2
- [Linke Ouyang](https://md.research.elamur.ai/free/en/authors/linke-ouyang/) ×2
- [Zhiyuan Zhao](https://md.research.elamur.ai/free/en/authors/zhiyuan-zhao/) ×2
- [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/)
- [Chao Xu](https://md.research.elamur.ai/free/en/authors/chao-xu/)
- [Junbo Niu](https://md.research.elamur.ai/free/en/authors/junbo-niu/)
- [Kaiwen Liu](https://md.research.elamur.ai/free/en/authors/kaiwen-liu/)
- [Qintong Zhang](https://md.research.elamur.ai/free/en/authors/qintong-zhang/)
- [Rui Xu](https://md.research.elamur.ai/free/en/authors/rui-xu/)
- [Yuan Qu](https://md.research.elamur.ai/free/en/authors/yuan-qu/)
- [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/)
- [Zhenjiang Jin](https://md.research.elamur.ai/free/en/authors/zhenjiang-jin/)

## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

Papers of our library cite their works 105 times (of the 149,439 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fan-wu/cited-by/).

Updated 2 November 2026
