Peng Song

Experimental and Cognitive Psychology · with Cui · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Experimental and Cognitive Psychology — 16 citations into it; #9,406 of 9,731 by trust here, #5,221 by citations
• Cognitive Neuroscience — 14 citations into it; #10,467 of 10,852 by trust here, #6,526 by citations
• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Peng Song trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Wei-Long Zheng
5. Ulrike von Luxburg
6. William Stafford Noble
7. Shlomo Hoory
8. A. Hinge
9. Vinod Nair
10. Ilya Sutskever

Who trusts Peng Song overall

1. Dongrui Wu

Papers from Peng Song's perspective

Ordered by how strongly the researchers Peng Song 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2020) — 1,382 citations