Jiangyun Li

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #16,231 of 21,575 by trust here, #10,154 by citations

Whom Jiangyun Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yann LeCun
5. Kaiming He

Who trusts Jiangyun Li overall

1. Juan R. Terven
2. Diana-Margarita Córdova-Esparza
3. Andrei-Alexandru Tulbure
4. Jing Yang
5. Adrian-Alexandru Tulbure

Papers from Jiangyun Li's perspective

Ordered by how strongly the researchers Jiangyun Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (2021) — 1,166 citations
• Real-time Detection of Steel Strip Surface Defects Based on Improved YOLO Detection Network (2018) — 311 citations