Peiyang Li

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #16,642 of 21,575 by trust here, #14,478 by citations
• Artificial Intelligence — 25 citations into it; #27,217 of 35,345 by trust here, #21,878 by citations

Whom Peiyang Li trusts overall

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

1. Mohammad Soleymani
2. Vangelis Sakkalis
3. Wei-Long Zheng
4. Hanchuan Peng
5. Guillaume Chanel
6. Diederik P. Kingma
7. Thierry Pun
8. Geoffrey E. Hinton
9. Bao-Liang Lu
10. Sander Koelstra

Who trusts Peiyang Li overall

1. Peixiang Zhong
2. Essam H. Houssein
3. Wei Tao
4. Lei Shi

Papers from Peiyang Li's perspective

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

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

Their papers

• EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations (2019) — 333 citations
• Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition (2018) — 380 citations