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Yuxin Wu

Yuxin Wu has 2 papers in our library, in 2016–2019, most of them on Language models & pretraining; often with Haoqi Fan, Kaiming He, Ross Girshick.

2 papers in our library · 2016–2019

OpenAlex · ORCID · h-index 16 · 36 works · 20,095 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 994 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #189

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

🎓Emory UniversityAtlanta · United States2025–2026 · 2 paperscurrent🏢MetaMenlo Park · United States2018–2020 · 6 papers🏢MetaTel Aviv · Israel2017–2018 · 4 papers🎓China University of Mining and Technology - BeijingBeijing2025 · 3 papers🎓Guilin University of Electronic TechnologyGuilin · China2022–2025 · 3 papers🎓Tsinghua UniversityBeijing · China2014–2025 · 3 papers🏢MegviiBeijing2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 1 workElectrical and Electronic Engineering · 1 workEngineering · 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.Natural language processing · 1 work

 Works by year

2010s

20191 paper20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Momentum Contrast for Unsupervised Visual Representation Learning (2019 · 13,302 citations)
    In NLP, unsupervised pre-training already dominated, but in vision, supervised ImageNet pre-training stayed the default.
  2. DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients (2016 · 1,762 citations)
    Large CNNs are costly to train and deploy. Earlier binarized models such as BNN and XNOR-Net reduced cost only in the forward pass. Their gradients stayed in full precision, so backpropagation still needed expensive floating-point convolutions. DoReFa-Net, from Megvii, generalizes binarization so that weights…

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. Momentum Contrast for Unsupervised Visual Representation LearningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKaiming He, Haoqi Fan, Yuxin Wu, et al.2019 · 13,302 citations
  2. Group Normalization ↗Lecture notes in computer science · no summary yetYuxin Wu, Kaiming He2018 · 3,072 citations
  3. DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth GradientsarXiv:1606.06160Shuchang Zhou, Yuxin Wu, Zekun Ni, et al.2016 · 1,762 citations
  4. PointRend: Image Segmentation As Rendering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAlexander Kirillov et al.2020 · 1,157 citations
  5. Feature Denoising for Improving Adversarial Robustness ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCihang Xie et al.2019 · 915 citations

 Co-authors here

5 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 994 times (of the 149,439 papers whose bibliographies we read); 76 citing papers with a page here →.

Updated

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