---
title: "Xiangyu Zhang · StepFun AI — author profile and papers"
description: "Xiangyu Zhang, StepFun AI: 2 papers on Elamur Research (2015–2025), h-index 71 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/xiangyu-zhang/"
---
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# Xiangyu Zhang

Xiangyu Zhang has 2 papers in our library, in 2015–2025; often with [Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/), [Heung-Yeung Shum](https://md.research.elamur.ai/free/en/authors/heung-yeung-shum/), [Jian Sun](https://md.research.elamur.ai/free/en/authors/jian-sun/).

2 papers in our library · 2015–2025

[OpenAlex](https://openalex.org/A5100362465) · [ORCID](https://orcid.org/0000-0003-2138-4608) · [Wikidata](https://www.wikidata.org/wiki/Q130803016) · [**h-index 71**](https://openalex.org/authors/A5100362465) · [320 works](https://openalex.org/works?filter=author.id:A5100362465) · [313,751 citations](https://openalex.org/works?filter=author.id:A5100362465&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/#papers) · [🔗 Cited 6,662 times in our library](https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/cited-by/) · [22 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #331](https://md.research.elamur.ai/free/en/paper-stars/page/4/#star-331)

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=Xiangyu+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiangyu+Zhang) · [dblp](https://dblp.org/search?q=Xiangyu+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Xiangyu+Zhang)

## Affiliations

[🏢**StepFun AI** Shanghai · China 2025–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/companies/stepfun-ai/) · [🏢**Megvii** Beijing 2017–2025 · 108 papers](https://ror.org/040b32p69) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2022–2023 · 6 papers](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2012–2017 · 6 papersEducation 2012–2017 · PHD, Control Science and Engineering](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2020–2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2025–2026 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Microsoft** Redmond · United States 2015–2016 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Beihang University** Beijing · China 2024–2026 · 2 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Peking University** Beijing · China 2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/)

🏛️**Megvii Technology Limited** Beijing · [China](https://md.research.elamur.ai/free/en/countries/china/) 2016Employment since 2016 · Principal Researcher, Research

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/year/2025/)

### 2010s

[**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/year/2015/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Deep Residual Learning for Image Recognition](https://md.research.elamur.ai/free/en/papers/he-2015-deep-residual-learning-image-recognition/)** *(2015 · 9,425 citations)* Plain convolutional networks show a puzzling degradation problem : once they are deep enough to converge, adding more layers raises training error.
2. **[Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model](https://md.research.elamur.ai/free/en/papers/hu-2025-open-reasoner-zero-open-source/)** *(2025 · 128 citations)* DeepSeek-R1-Zero showed that reinforcement learning applied directly to a base language model can steadily improve reasoning, but its training recipe was only briefly described and not reproducible.

## All works

24 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. **[Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ↗](https://arxiv.org/abs/1502.01852) arXiv:1502.01852 · no summary yet**Kaiming He et al.*2015 · 19,426 citations*
2. **[Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition ↗](https://doi.org/10.1109/tpami.2015.2389824) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Kaiming He et al.*2015 · 11,470 citations*
3. **[Identity Mappings in Deep Residual Networks ↗](https://arxiv.org/abs/1603.05027) arXiv:1603.05027 · no summary yet**Kaiming He et al.*2016 · 10,240 citations*
4. [**Deep Residual Learning for Image Recognition arXiv:1512.03385**Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.*2015 · 9,425 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-deep-residual-learning-image-recognition/)
5. **[Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network ↗](https://doi.org/10.1109/cvpr.2017.189) 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**Chao Peng et al.*2017 · 1,707 citations*
6. **[Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs ↗](https://doi.org/10.1109/cvpr52688.2022.01166) 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**Xiaohan Ding et al.*2022 · 1,448 citations*
7. **[Accelerating Very Deep Convolutional Networks for Classification and Detection ↗](https://doi.org/10.1109/tpami.2015.2502579) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Xiangyu Zhang et al.*2015 · 860 citations*
8. **[Objects365: A Large-Scale, High-Quality Dataset for Object Detection ↗](https://doi.org/10.1109/iccv.2019.00852) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Shuai Shao et al.*2019 · 748 citations*
9. **[MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning ↗](https://doi.org/10.1109/iccv.2019.00339) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Zechun Liu et al.*2019 · 595 citations*
10. **[Bounding Box Regression With Uncertainty for Accurate Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00300) 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**Yihui He et al.*2019 · 594 citations*
11. **[Meta-SR: A Magnification-Arbitrary Network for Super-Resolution ↗](https://doi.org/10.1109/cvpr.2019.00167) 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**Xuecai Hu et al.*2019 · 533 citations*
12. **[Anchor DETR: Query Design for Transformer-Based Detector ↗](https://doi.org/10.1609/aaai.v36i3.20158) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yingming Wang et al.*2022 · 499 citations*
13. **[VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking ↗](https://doi.org/10.1109/cvpr52729.2023.02076) 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**Yukang Chen et al.*2023 · 485 citations*
14. **[Object Detection Networks on Convolutional Feature Maps ↗](https://doi.org/10.1109/tpami.2016.2601099) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Shaoqing Ren et al.*2016 · 462 citations*
15. **[PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images ↗](https://doi.org/10.1109/iccv51070.2023.00302) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yingfei Liu et al.*2023 · 398 citations*
16. **[Focal Sparse Convolutional Networks for 3D Object Detection ↗](https://doi.org/10.1109/cvpr52688.2022.00535) 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**Yukang Chen et al.*2022 · 333 citations*
17. **[Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection ↗](https://doi.org/10.1109/iccv51070.2023.00335) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Shihao Wang et al.*2023 · 288 citations*
18. **[Efficient and accurate approximations of nonlinear convolutional networks ↗](https://doi.org/10.1109/cvpr.2015.7298809) 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**Xiangyu Zhang et al.*2015 · 273 citations*
19. **[MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors ↗](https://doi.org/10.1109/cvpr52729.2023.02112) 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**Yuang Zhang, Tiancai Wang, Xiangyu Zhang*2023 · 271 citations*
20. **[Cross Modal Transformer: Towards Fast and Robust 3D Object Detection ↗](https://doi.org/10.1109/iccv51070.2023.01675) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Junjie Yan et al.*2023 · 182 citations*
21. **[Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model](https://md.research.elamur.ai/free/en/papers/hu-2025-open-reasoner-zero-open-source/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jingcheng Hu, Yinmin Zhang, Qi Han, et al.*2025 · 128 citations*
22. **[Progressive End-to-End Object Detection in Crowded Scenes ↗](https://doi.org/10.1109/cvpr52688.2022.00093) 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**Anlin Zheng et al.*2022 · 88 citations*
23. **[StepFun-Prover Preview: Let's Think and Verify Step by Step ↗](https://arxiv.org/abs/2507.20199) arXiv:2507.20199 · no summary yet**Shijie Shang et al.*2025 · 5 citations*
24. **[画像認識のための深い残留学習【Powered by NICT】 ↗](https://openalex.org/W3201916357) IEEE Conference Proceedings · no summary yet**Kaiming He et al.*2016*

## Co-authors here

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

- [Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/)
- [Heung-Yeung Shum](https://md.research.elamur.ai/free/en/authors/heung-yeung-shum/)
- [Jian Sun](https://md.research.elamur.ai/free/en/authors/jian-sun/)
- [Jingcheng Hu](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/)
- [Kaiming He](https://md.research.elamur.ai/free/en/authors/kaiming-he/)
- [Qi Han](https://md.research.elamur.ai/free/en/authors/qi-han/)
- [Shaoqing Ren](https://md.research.elamur.ai/free/en/authors/shaoqing-ren/)
- [Yinmin Zhang](https://md.research.elamur.ai/free/en/authors/yinmin-zhang/)

## 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 ×9
- IEEE/CVF International Conference on Computer Vision (ICCV) ×5
- IEEE Transactions on Pattern Analysis and Machine Intelligence ×3
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)
- IEEE Conference Proceedings
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 6,662 times (of the 149,439 papers whose bibliographies we read); [346 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/cited-by/).

Updated 1 November 2026