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 5Computer Science · 2 works Artificial Intelligence · 2 works Computer Vision and Pattern Recognition · 1 work Arts and Humanities · 1 work Language and Linguistics · 1 work

💡 Concepts 1Natural language processing · 1 work

Works by year

2020s

20251 paper

2010s

20151 paper

Papers

The most cited first (OpenAlex and our library).

Deep Residual Learning for 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.
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model (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.

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ↗arXiv:1502.01852 · no summary yetKaiming He et al.2015 · 19,426 citations
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetKaiming He et al.2015 · 11,470 citations
Identity Mappings in Deep Residual Networks ↗arXiv:1603.05027 · no summary yetKaiming He et al.2016 · 10,240 citations
Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChao Peng et al.2017 · 1,707 citations
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiaohan Ding et al.2022 · 1,448 citations
Accelerating Very Deep Convolutional Networks for Classification and Detection ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetXiangyu Zhang et al.2015 · 860 citations
Objects365: A Large-Scale, High-Quality Dataset for Object Detection ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetShuai Shao et al.2019 · 748 citations
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZechun Liu et al.2019 · 595 citations
Bounding Box Regression With Uncertainty for Accurate Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYihui He et al.2019 · 594 citations
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXuecai Hu et al.2019 · 533 citations
Anchor DETR: Query Design for Transformer-Based Detector ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYingming Wang et al.2022 · 499 citations
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYukang Chen et al.2023 · 485 citations
Object Detection Networks on Convolutional Feature Maps ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetShaoqing Ren et al.2016 · 462 citations
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYingfei Liu et al.2023 · 398 citations
Focal Sparse Convolutional Networks for 3D Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYukang Chen et al.2022 · 333 citations
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetShihao Wang et al.2023 · 288 citations
Efficient and accurate approximations of nonlinear convolutional networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiangyu Zhang et al.2015 · 273 citations
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuang Zhang, Tiancai Wang, Xiangyu Zhang2023 · 271 citations
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJunjie Yan et al.2023 · 182 citations
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelConference on Neural Information Processing Systems (NeurIPS)Jingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 128 citations
Progressive End-to-End Object Detection in Crowded Scenes ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAnlin Zheng et al.2022 · 88 citations
StepFun-Prover Preview: Let's Think and Verify Step by Step ↗arXiv:2507.20199 · no summary yetShijie Shang et al.2025 · 5 citations
画像認識のための深い残留学習【Powered by NICT】 ↗IEEE Conference Proceedings · no summary yetKaiming He et al.2016

Co-authors here

8 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.

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) ×2
Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 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 →.

Updated 1 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/

🧑‍🔬 Xiangyu Zhang

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

2010s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Xiangyu Zhang

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by