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Ze Liu

Ze Liu has 2 papers in our library, in 2021–2025, most of them on Information retrieval & search, Vision & language; often with Bo Zhao, Chen Jason Zhang, Defu Lian.

2 papers in our library · 2021–2025

OpenAlex · ORCID · Wikidata · h-index 16 · 43 works · 38,458 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 901 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #50

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

🎓Ocean University of ChinaQingdao · China2017–2025 · 24 papersEducation🔬Qingdao National Laboratory for Marine Science and TechnologyQingdao · China2017–2025 · 18 papers🎓University of Science and Technology of ChinaHefei · China2021–2022 · 4 papers🏢Microsoft Research AsiaBeijing · China2021–2022 · 3 papers🔬Laoshan LaboratoryQingdao2023–2024 · 2 papers🔬China Land Surveying and Planning InstituteBeijing · China2023 · 2 papers🏛️Ministry of Natural ResourcesBeijing · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workVision & language · 1 work

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

 Works by year

2020s

20251 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. MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval (2025 · 26 citations)
    Universal multimodal retrievers, which must handle tasks such as composed image retrieval (CIR) beyond plain text-to-image matching, are held back by a shortage of instruction-tuning data.

All works

4 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. MegaPairs: Massive Data Synthesis for Universal Multimodal RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Zhou, Yongping Xiong, Zheng Liu, et al.2025 · 26 citations

 Co-authors here

8 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 901 times (of the 149,439 papers whose bibliographies we read); 34 citing papers with a page here →.

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