Yaping Wang

Computer Vision and Pattern Recognition · with Cheng · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #19,554 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 9 citations into it; #31,840 of 35,345 by trust here, #28,481 by citations
• Psychiatry and Mental health — 7 citations into it

Whom Yaping Wang trusts overall

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

1. Matthew D. Zeiler
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. D. Selkoe
5. Kaiming He

Who trusts Yaping Wang overall

1. Arvid Lundervold

Papers from Yaping Wang's perspective

Ordered by how strongly the researchers Yaping Wang 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. Dropout: a simple way to prevent neural networks from overfitting
4. Gradient-based learning applied to document recognition
5. Visualizing and Understanding Convolutional Networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis (2018) — 374 citations