Shijie Yu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it; #14,751 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 69 citations into it; #23,872 of 35,345 by trust here, #21,316 by citations
• Efficiency & Compression — 15 citations into it

Whom Shijie Yu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshua Bengio
5. Yann LeCun
6. Marc'Aurelio Ranzato
7. Diederik P. Kingma
8. Oriol Vinyals
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Shijie Yu overall

1. Zhen Wang

Papers from Shijie Yu's perspective

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

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

Their papers

• Layerwise Optimization by Gradient Decomposition for Continual Learning (2021) — 94 citations
• Complementary Relation Contrastive Distillation (2021) — 101 citations