Zhenhua Huang

Computer Vision and Pattern Recognition · with Xu · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Zhenhua Huang trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Xavier Glorot
4. Guillaume Alain
5. Jeffrey Pennington
6. Jimmy Ba
7. Xiao-Jiao Mao
8. Geoffrey E. Hinton
9. Richard Socher
10. Alex Krizhevsky

Papers from Zhenhua Huang's perspective

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

Their papers

• An Efficient Group Recommendation Model With Multiattention-Based Neural Networks (2020) — 176 citations