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Yuan Qu

Yuan Qu has 2 papers in our library, in 2024, most of them on English; often with Bin Wang, Bo Zhang, Chao Xu.

2 papers in our library · 2024

OpenAlex · h-index 5 · 18 works · 205 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 81 times in our library · ⭐ Paper Stars ranking: #7940

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏥University of Hong Kong - Shenzhen HospitalShenzhen · China2024–2026 · 2 paperscurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2025 · 2 papers🏥First Affiliated Hospital of Jinan UniversityGuangzhou · China2023–2024 · 2 papers🎓Xinjiang Medical UniversityÜrümqi · China2019–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksBusiness, Management and Accounting · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workManagement Information Systems · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.English · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MinerU: An Open-Source Solution for Precise Document Content Extraction (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. WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset (2024 · 5 citations)
    Large language models need trillions of tokens of clean text. Common Crawl is the obvious free source, but it is full of broken formatting, duplicates, ads, toxic and pornographic pages, and personal data. The authors built a processing chain for English Common Crawl pages from 90 dumps, starting in 2013. The chain…

 Co-authors here

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

 Cited by

Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

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