Guanhua Wang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Model Architectures — 5 citations into it

Whom Guanhua Wang trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Alex Krizhevsky
4. Jia Deng
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Yoshua Bengio
8. Ilya Sutskever
9. Yann LeCun
10. Ross B. Girshick

Papers from Guanhua Wang's perspective

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

Their papers

• Wavelet: Efficient DNN Training with Tick-Tock Scheduling (2021) — 27 citations