Peng Yao

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Peng Yao trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Yann LeCun
4. Peter N. Belhumeur
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Jeff Donahue
8. Can Li
9. Song Han
10. X. Zhang

Who trusts Peng Yao overall

1. Shimeng Yu
2. Wenqiang Zhang
3. Bin Gao
4. Jianshi Tang

Papers from Peng Yao's perspective

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

Their papers

• Face classification using electronic synapses (2017) — 828 citations
• Fully hardware-implemented memristor convolutional neural network (2020) — 2,009 citations
• Edge learning using a fully integrated neuro-inspired memristor chip (2023) — 381 citations
• Neuro-inspired computing chips (2020) — 772 citations