---
title: "Yangqing Jia — author profile and papers — Elamur Research"
description: "Yangqing Jia: 3 papers on Elamur Research (2013–2018), h-index 36 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yangqing-jia/"
---
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# Yangqing Jia

Yangqing Jia has 3 papers in our library, in 2013–2018, most of them on [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Jeff Donahue](https://md.research.elamur.ai/free/en/authors/jeff-donahue/), [Trevor Jackson Darrell](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/), [Evan Shelhamer](https://md.research.elamur.ai/free/en/authors/evan-shelhamer/).

3 papers in our library · 2013–2018

[OpenAlex](https://openalex.org/A5110220840) · [**h-index 36**](https://openalex.org/authors/A5110220840) · [78 works](https://openalex.org/works?filter=author.id:A5110220840) · [83,574 citations](https://openalex.org/works?filter=author.id:A5110220840&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yangqing-jia/#papers) · [🔗 Cited 2,608 times in our library](https://md.research.elamur.ai/free/en/authors/yangqing-jia/cited-by/) · [27 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #376](https://md.research.elamur.ai/free/en/paper-stars/page/4/#star-376)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yangqing+Jia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yangqing+Jia) · [dblp](https://dblp.org/search?q=Yangqing+Jia) · [ACL Anthology](https://aclanthology.org/search/?q=Yangqing+Jia)

## Affiliations

[🎓**University of California, Berkeley** Berkeley · United States 2010–2014 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Tsinghua University** Beijing · China 2008–2009 · 12 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Google** Mountain View · United States 2013–2015 · 9 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**State Key Laboratory of Intelligent Technology and Systems** Beijing · China 2008–2009 · 8 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-intelligent-technology-and-systems/) · [🏢**Meta** Menlo Park · United States 2017–2019 · 6 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🔬**International Computer Science Institute** Berkeley · United States 2010–2013 · 6 papers](https://md.research.elamur.ai/free/en/labs/international-computer-science-institute/) · [🏢**Alibaba Group** Hangzhou · China 2019–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Meta** London · United Kingdom 2017–2019 · 3 papers](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/)

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 4 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 1 Research subjects and languages the work is about.[GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/)

## Works by year

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/yangqing-jia/year/2018/) · [**2014** 1 paper](https://md.research.elamur.ai/free/en/authors/yangqing-jia/year/2014/) · [**2013** 1 paper](https://md.research.elamur.ai/free/en/authors/yangqing-jia/year/2013/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Caffe: Convolutional Architecture for Fast Feature Embedding](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/)** *(2014 · 4,209 citations)* Deep convolutional networks had overtaken handcrafted features in visual recognition. Yet reproducing published results often took months, and few toolkits offered fast, ready-to-deploy models. The BVLC team at UC Berkeley presents Caffe, an open-source, BSD-licensed C++ library with CUDA support and Python and…
2. **[DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition](https://md.research.elamur.ai/free/en/papers/donahue-2013-decaf-deep-convolutional-activation-feature/)** *(2013 · 3,463 citations)* The paper asks whether the internal activations of a large convolutional network, trained with full supervision on ImageNet object classes, can serve as a ready-made image descriptor for different vision problems that lack enough data to train deep models.
3. **[FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search](https://md.research.elamur.ai/free/en/papers/wu-2018-fbnet-hardware-aware-efficient-convnet/)** *(2018 · 1,405 citations)* Building ConvNets that are both accurate and fast on phones is hard. The space of possible architectures is enormous, earlier reinforcement-learning NAS methods cost thousands of GPU-hours, and the usual efficiency proxy (FLOPs) often fails to predict real latency. The authors propose DNAS, a differentiable search…

## All works

30 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Going deeper with convolutions ↗](https://doi.org/10.1109/cvpr.2015.7298594) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Christian Szegedy et al.*2015 · 46,691 citations*
2. **[Caffe ↗](https://doi.org/10.1145/2647868.2654889) ACM International Conference on Multimedia (ACM MM) · no summary yet**Yangqing Jia et al.*2014 · 10,940 citations*
3. [**Caffe: Convolutional Architecture for Fast Feature Embedding arXiv:1408.5093**Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.*2014 · 4,209 citations*](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/)
4. [**DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531**Jeff Donahue, Yangqing Jia, Oriol Vinyals, et al.*2013 · 3,463 citations*](https://md.research.elamur.ai/free/en/papers/donahue-2013-decaf-deep-convolutional-activation-feature/)
5. **[Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour ↗](https://arxiv.org/abs/1706.02677) arXiv:1706.02677 · no summary yet**Priya Goyal et al.*2017 · 2,756 citations*
6. **[FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search](https://md.research.elamur.ai/free/en/papers/wu-2018-fbnet-hardware-aware-efficient-convnet/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Bichen Wu, Xiaoliang Dai, Peizhao Zhang, et al.*2018 · 1,405 citations*
7. **[MatchNet: Unifying feature and metric learning for patch-based matching ↗](https://doi.org/10.1109/cvpr.2015.7298948) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xufeng Han et al.*2015 · 844 citations*
8. **[Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective ↗](https://doi.org/10.1109/hpca.2018.00059) Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings · no summary yet**Kim Hazelwood et al.*2018 · 623 citations*
9. **[ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation ↗](https://arxiv.org/abs/1812.08934) arXiv:1812.08934 · no summary yet**Xiaoliang Dai et al.*2018 · 297 citations*
10. **[A Category-Level 3D Object Dataset: Putting the Kinect to Work ↗](https://doi.org/10.1007/978-1-4471-4640-7_8) Advances in computer vision and pattern recognition · no summary yet**Allison Janoch et al.*2012 · 258 citations*
11. **[A category-level 3-D object dataset: Putting the Kinect to work ↗](https://doi.org/10.1109/iccvw.2011.6130382) IEEE International Conference on Computer Vision Workshops · no summary yet**Allison Janoch et al.*2011 · 253 citations*
12. **[Beyond spatial pyramids: Receptive field learning for pooled image features ↗](https://doi.org/10.1109/cvpr.2012.6248076) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yangqing Jia, Chang Huang, Trevor Jackson Darrell*2012 · 236 citations*
13. **[Learning cross-modality similarity for multinomial data ↗](https://doi.org/10.1109/iccv.2011.6126524) International Conference on Computer Vision · no summary yet**Yangqing Jia, Mathieu Salzmann, Trevor Jackson Darrell*2011 · 194 citations*
14. **[Factorized Latent Spaces with Structured Sparsity ↗](https://openalex.org/W2156872152) no summary yet**Yangqing Jia, Mathieu Salzmann, Trevor Jackson Darrell*2010 · 166 citations*
15. **[Grounding spatial relations for human-robot interaction ↗](https://doi.org/10.1109/iros.2013.6696569) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Sergio Guadarrama et al.*2013 · 149 citations*
16. **[One-Shot Adaptation of Supervised Deep Convolutional Models ↗](https://arxiv.org/abs/1312.6204) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2013 · 67 citations*
17. **[Learning with Recursive Perceptual Representations ↗](https://openalex.org/W2133282586) no summary yet**Oriol Vinyals et al.*2012 · 60 citations*
18. **[Factorized Multi-Modal Topic Model ↗](https://arxiv.org/abs/1210.4920) arXiv (Cornell University) · no summary yet**Seppo Virtanen et al.*2012 · 38 citations*
19. **[Heavy-tailed Distances for Gradient Based Image Descriptors ↗](https://openalex.org/W2137402913) no summary yet**Yangqing Jia, Trevor Jackson Darrell*2011 · 36 citations*
20. **[Practical 3-D Object detection using category and instance-level appearance models ↗](https://doi.org/10.1109/iros.2011.6095000) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Kate Saenko et al.*2011 · 17 citations*
21. **[Pooling-Invariant Image Feature Learning ↗](https://arxiv.org/abs/1302.5056) arXiv (Cornell University) · no summary yet**Yangqing Jia, Oriol Vinyals, Trevor Jackson Darrell*2013 · 11 citations*
22. **[Mid-level Features Improve Recognition of Interactive Activities ↗](https://doi.org/10.21236/ada570728) no summary yet**Kate Saenko et al.*2012 · 11 citations*
23. **[Latent Task Adaptation with Large-Scale Hierarchies ↗](https://doi.org/10.1109/iccv.2013.260) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Yangqing Jia, Trevor Jackson Darrell*2013 · 9 citations*
24. **[On Compact Codes for Spatially Pooled Features ↗](https://openalex.org/W2116371891) no summary yet**Yangqing Jia, Oriol Vinyals, Trevor Jackson Darrell*2013 · 3 citations*
25. **[Why Size Matters: Feature Coding as Nystrom Sampling ↗](https://arxiv.org/abs/1301.5348) arXiv (Cornell University) · no summary yet**Oriol Vinyals, Yangqing Jia, Trevor Jackson Darrell*2013 · 1 citation*

[See all 30 works by Yangqing Jia →](https://md.research.elamur.ai/free/en/authors/yangqing-jia/works/)

## Co-authors here

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

- [Jeff Donahue](https://md.research.elamur.ai/free/en/authors/jeff-donahue/) ×2
- [Trevor Jackson Darrell](https://md.research.elamur.ai/free/en/authors/trevor-jackson-darrell/) ×2
- [Evan Shelhamer](https://md.research.elamur.ai/free/en/authors/evan-shelhamer/)
- [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/)
- [Judy Hoffman](https://md.research.elamur.ai/free/en/authors/judy-hoffman/)
- [Kurt Keutzer](https://md.research.elamur.ai/free/en/authors/kurt-keutzer/)
- [Ning Zhang](https://md.research.elamur.ai/free/en/authors/ning-zhang/)
- [Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/)
- [Ross Girshick](https://md.research.elamur.ai/free/en/authors/ross-girshick/)
- [Sergio Guadarrama](https://md.research.elamur.ai/free/en/authors/sergio-guadarrama/)
- [Yuandong Tian](https://md.research.elamur.ai/free/en/authors/yuandong-tian/)

## Venues

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

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×3
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ×2
- [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/): [IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/)
- ACM International Conference on Multimedia (ACM MM)
- Advances in computer vision and pattern recognition
- IEEE International Conference on Computer Vision (ICCV)
- IEEE International Conference on Computer Vision Workshops
- International Conference on Computer Vision
- Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings
- UC Berkeley

## Cited by

Papers of our library cite their works 2,608 times (of the 149,439 papers whose bibliographies we read); [174 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yangqing-jia/cited-by/).

Updated 2 November 2026
