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Jia Hao Deng

Jia Hao Deng has 2 papers in our library, in 2014–2023, most of them on Language models & pretraining, Reasoning; often with Albert Q. Jiang, Alexander C. Berg, Andrej Karpathy.

2 papers in our library · 2014–2023

OpenAlex · ORCID · h-index 51 · 101 works · 124,527 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4,007 times in our library · 9 more in our library without a page yet · ⭐ Paper Stars ranking: #1822

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

🎓Princeton UniversityPrinceton · United States2007–2026 · 80 papersEmployment since 2018 · Assistant Professor, Department of Computer Sciencecurrent🎓University of MichiganAnn Arbor · United States2014–2018 · 34 papers🎓Stanford UniversityStanford · United States2010–2014 · 9 papers🏢GoogleMountain View · United States2014–2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The 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 workMathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20231 paper

2010s

20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ImageNet Large Scale Visual Recognition Challenge (2014 · 1,248 citations)
    The paper describes ILSVRC, a yearly competition run since 2010 that became the reference benchmark for recognizing objects in photos at large scale.
  2. Llemma: An Open Language Model For Mathematics (2023 · 286 citations)
    General-purpose LLMs are weak at mathematics, and the strongest math-specialised model, Minerva, was never released, so other researchers could not build on it.

All works

11 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. ImageNet: A large-scale hierarchical image database ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJia Hao Deng et al.2009 · 63,226 citations
  2. ImageNet Large Scale Visual Recognition ChallengearXiv:1409.0575Olga Russakovsky, Jia Deng, Hao Su, et al.2014 · 1,248 citations
  3. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 citations
  4. Fine-Grained Crowdsourcing for Fine-Grained Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJia Hao Deng, Jonathan Krause, Li Fei-Fei2013 · 257 citations
  5. Learning semantic relationships for better action retrieval in images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetVignesh Ramanathan et al.2015 · 113 citations
  6. Premise Selection for Theorem Proving by Deep Graph Embedding ↗arXiv:1709.09994 · no summary yetMingzhe Wang et al.2017 · 106 citations
  7. Learning to Prove Theorems via Interacting with Proof Assistants ↗arXiv:1905.09381 · no summary yetKaiyu Yang, Jia Deng2019 · 90 citations
  8. Mining semantic affordances of visual object categories ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYu-Wei Chao et al.2015 · 72 citations
  9. Generating Natural Language Proofs with Verifier-Guided Search ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetKaiyu Yang, Jia Deng, Danqi Chen2022 · 70 citations
  10. Learning to Prove Theorems by Learning to Generate Theorems ↗arXiv:2002.07019 · no summary yetMingzhe Wang, Jia Deng2020 · 53 citations
  11. Leveraging the Wisdom of the Crowd for Fine-Grained Recognition ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetJia Hao Deng et al.2015 · 51 citations

 Co-authors here

12 of 15 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 4,007 times (of the 149,439 papers whose bibliographies we read); 281 citing papers with a page here →.

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