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Yixuan Wei

Yixuan Wei has 2 papers in our library, in 2021–2024, most of them on Language models & pretraining; often with Han Hu, Zheng Zhang, Chen Li.

2 papers in our library · 2021–2024

OpenAlex · ORCID · h-index 23 · 73 works · 40,390 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 966 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #58

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 Science and Technology BeijingBeijing · China2020–2026 · 23 paperscurrent🏥First Affiliated Hospital of Wenzhou Medical UniversityWenzhou · China2025–2026 · 3 paperscurrent🎓Beijing Jiaotong UniversityBeijing · China2025–2026 · 2 paperscurrent🎓Nanjing Forestry UniversityNanjing · China2026 · 1 papercurrent🎓Tsinghua UniversityBeijing · China2019–2024 · 16 papers🎓University of Nottingham Ningbo ChinaNingbo · China2016–2019 · 9 papers🏢Microsoft Research AsiaBeijing · China2021–2024 · 7 papers🏛️National Health Commission of the People's Republic of ChinaBeijing · China2022–2025 · 6 papers🎓China Medical UniversityShenyang · China2023–2025 · 3 papers🎓Beijing University of TechnologyBeijing · China2013–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workArts and Humanities · 1 workComputational Theory and Mathematics · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Transformer and attention · 1 work

 Works by year

2020s

20241 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (2021 · 33,968 citations)
    Transformers dominate NLP, but adapting them to vision is difficult. Objects appear at very different sizes, and images contain far more pixels than a text has words, so global self-attention cost grows quadratically with resolution. Earlier vision Transformers such as ViT/DeiT also produce only a single coarse…
  2. Common 7B Language Models Already Possess Strong Math Capabilities (2024 · 79 citations)
    The paper challenges the belief that math reasoning appears only in very large models or in models pre-trained heavily on mathematical text.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsIEEE/CVF International Conference on Computer Vision (ICCV)Ze Liu, Yutong Lin, Yue Cao, et al.2021 · 33,968 citations
  2. Swin Transformer V2: Scaling Up Capacity and Resolution ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZe Liu et al.2022 · 2,584 citations
  3. Video Swin Transformer ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZe Liu et al.2022 · 2,227 citations
  4. DeepHuman: 3D Human Reconstruction From a Single Image ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZerong Zheng et al.2019 · 373 citations
  5. Common 7B Language Models Already Possess Strong Math CapabilitiesarXiv:2403.04706Chen Li, Weiqi Wang, Jingcheng Hu, et al.2024 · 79 citations

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 966 times (of the 149,439 papers whose bibliographies we read); 67 citing papers with a page here →.

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