Xin Yu

Computer Vision and Pattern Recognition · with Ramalingam · 2018

A researcher in the Science corpus: 1 paper; trusts 165 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 28 citations into it
• Efficiency & Compression — 14 citations into it
• Optimization & Training — 14 citations into it
• Model Architectures — 12 citations into it

Whom Xin Yu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Yann LeCun
7. X. Zhang
8. Shaoqing Ren
9. James Bergstra
10. Christian Szegedy

Who trusts Xin Yu overall

1. Yin-Dong Zheng
2. Tom Ching LingChen
3. Zhaoyang Liu
4. Ava Khonsari

Papers from Xin Yu's perspective

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

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

Their papers

• Learning Strict Identity Mappings in Deep Residual Networks (2018) — 48 citations