Yang Liu

Artificial Intelligence · with Huang · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it; #16,749 of 21,575 by trust here, #18,782 by citations
• Optimization & Training — 17 citations into it; #2,196 of 2,601 by trust here, #2,378 by citations
• Model Architectures — 11 citations into it

Whom Yang Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Karen Simonyan
7. Jimmy Ba
8. Yann LeCun
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Yang Liu overall

1. Andrew Brock
2. Lei Huang

Papers from Yang Liu's perspective

Ordered by how strongly the researchers Yang Liu 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. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Centered Weight Normalization in Accelerating Training of Deep Neural Networks (2017) — 83 citations
• Survey on computational-intelligence-based UAV path planning (2018) — 366 citations