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Xinlong Wang

Xinlong Wang has 2 papers in our library, in 2023, most of them on Language models & pretraining; often with Ledell Wu, Yue Cao.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 40 · 194 works · 9,449 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 459 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #4770

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

🎓Nanjing UniversityNanjing · China1984–2026 · 63 papersEducation 1984–1987 · Master of Science, Department of Information PhysicsEducation 1987–1991 · Ph. D., Department of Information PhysicsEmployment 1991–1995 · Lecturer, Inst. of Acoust. & Dept of Info. Phys.Employment 1995–1999 · Associate Professor, Inst. of Acoust. & Dept. of Electro. Sci. & Tech.Employment 1999–2009 · Professor, Inst. of Acoust. & Dept. of Electro. Sci. & Tech.Employment since 2010 · Professor, Inst. of Acoust. & Dept. of Phys.current🎓Beihang UniversityBeijing · China2005–2026 · 32 paperscurrent🔬Beijing Academy of Artificial IntelligenceBeijing · China2021–2025 · 19 papers🎓The University of AdelaideAdelaide · Australia2019–2025 · 19 papers🎓The University of Texas at ArlingtonArlington · United States2017–2025 · 8 papers🔬State Key Laboratory of Pollution Control and Resource ReuseNanjing · China2004–2010 · 6 papers🎓Huazhong University of Science and TechnologyWuhan · China2023–2024 · 3 papers🎓Dalian Polytechnic UniversityDalian · China2024–2025 · 2 papers🎓Central China Normal UniversityWuhan · China2024 · 2 papers🎓Dalian University of TechnologyDalian · China2022–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 25 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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 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.Artificial intelligence · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. EVA-CLIP: Improved Training Techniques for CLIP at Scale (2023 · 184 citations)
    Training CLIP-style image-text models at large scale is expensive and often unstable. EVA-CLIP, from the Beijing Academy of Artificial Intelligence, is a model family built around a set of training techniques that cut cost while raising zero-shot quality. The image encoder starts from EVA weights (EVA-01 or EVA-02…
  2. JudgeLM: Fine-tuned Large Language Models are Scalable Judges (2023 · 145 citations)
    Open-ended outputs of large language models are hard to assess. Classic metrics such as BLEU, ROUGE or BERTScore miss answer quality. Human arenas are reliable but slow and costly. GPT-4 used as a grader raises reproducibility and privacy concerns. The authors respond by training open-source LLMs from the Vicuna…

All works

8 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. EVA: Exploring the Limits of Masked Visual Representation Learning at Scale ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuxin Fang et al.2023 · 612 citations
  2. Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model ↗arXiv:2401.09417 · no summary yetLianghui Zhu et al.2024 · 500 citations
  3. SOLOv2: Dynamic and Fast Instance Segmentation ↗neural information processing systems · no summary yetXinlong Wang et al.2020 · 477 citations
  4. SegGPT: Towards Segmenting Everything In Context ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetXinlong Wang et al.2023 · 309 citations
  5. Associatively Segmenting Instances and Semantics in Point Clouds ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXinlong Wang et al.2019 · 282 citations
  6. Images Speak in Images: A Generalist Painter for In-Context Visual Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXinlong Wang et al.2023 · 211 citations
  7. EVA-CLIP: Improved Training Techniques for CLIP at ScalearXiv:2303.15389Quan Sun, Yuxin Fang, Ledell Wu, et al.2023 · 184 citations
  8. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesarXiv:2310.17631Lianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 145 citations

 Co-authors here

2 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 459 times (of the 149,439 papers whose bibliographies we read); 71 citing papers with a page here →.

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