Lei Yang

Computer Vision and Pattern Recognition · with Zhang · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Artificial Intelligence — 6 citations into it

Whom Lei Yang trusts overall

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

1. Pierre Pinson
2. Alex Krizhevsky
3. Karen Simonyan

Papers from Lei Yang's perspective

Ordered by how strongly the researchers Lei Yang 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. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Network In Network
7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Spatio-Temporal Analysis Approach for Short-Term Forecast of Wind Farm Generation (2014) — 132 citations
• CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices (2020) — 311 citations